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In Light of Energy: Influences of Light Pollution on Linked Stream-Riparian Invertebrate Communities
THESIS
Presented in Partial Fulfillment of the Requirements for the Degree Master of Science in the Graduate School of The Ohio State University
By
Lars Alan Meyer
Graduate Program in Environment and Natural Resources
The Ohio State University
2012
Committee:
Professor Mažeika S.P. Sullivan, Advisor
Professor Mary M. Gardiner
Professor Paul G. Rodewald
Copyrighted by
Lars Alan Meyer
2012
ii
Abstract
The world’s human population is expected to expand to nine billion by the year
2050, with 70% projected to be living in cities. As urban populations grow, cities are
producing an ever-increasing intensity of ecological light pollution (ELP). At the
individual and population levels, artificial night lighting has been shown to influence
predator-prey relationships, migration patterns, and reproductive success of many aquatic
and terrestrial species. With few exceptions, the effects of ELP on communities and
ecosystems remain unexplored. My research investigated the potential influences of ELP
on stream-riparian invertebrate communities and trophic dynamics, as well as the
reciprocal aquatic-terrestrial exchanges that are critical to ecosystem function. From June
2010 to June 2011, I conducted bimonthly surveys of aquatic emergent insects, terrestrial
arthropods, and riparian spiders of the family Tetragnathidae at nine Columbus, OH
stream reaches of differing ambient ELP levels (low: 0 - 0.5 lux; moderate: 0.5 - 2 lux;
high 2 - 4 lux). In August 2011, I experimentally increased light levels at the low and
moderate treatment reaches to ~12 lux. I quantified invertebrate biomass, family
richness, density (individuals m-2) of aquatic and terrestrial invertebrates, and measured
reciprocal stream-terrestrial invertebrate fluxes. Using stable isotopes of carbon (δ13C)
and nitrogen (δ15N), I estimated trophic position, variability in trophic position, food-
iii
chain length, and contribution of aquatic (i.e., epilithic algae) vs. terrestrial (i.e., leaf litter
detritus) carbon.
I found that light strongly influenced invertebrate family richness, biomass, and
density for discrete time periods over the course of the year. The experimental addition
of light resulted in a ~42% decrease in tetragnathid spider density, a ~54% decrease in
aquatic emergent insect biomass, a ~ 16% decrease in aquatic emergent insect family
richness, and a ~38% decrease in density of terrestrial arthropods entering stream.
Trophic position and variability in trophic position for the stream-riparian invertebrate
community, as well as, the families Tetragnathidae, Formicidae, and Chaoboridae
showed a strong positive relationship with ELP. The experimental addition of light
resulted in a ~2 trophic position increase in food-chain length and a two-fold increase in
variability in trophic position. Artificial light was also related to the contribution of
aquatic vs. terrestrial C at both the invertebrate community and family levels, such that
the contribution of aquatic C was lowest at moderate ELP and greatest at high ELP.
Collectively, these results are among the first to show the ecological consequences of
ELP at both community and ecosystem levels of biological organization.
iv
Acknowledgements
I would like to thank my faculty advisor, Professor Mazeika Sullivan, for his expert
guidance and invaluable support. Thanks to my committee members Professor Mary
Gardiner and Professor Paul Rodewald for valuable input during the initial and final
stages of this project. I also thank the School of Environment and Natural Resources
faculty and staff for the much needed top quality professional support generously
provided. I convey my appreciation to the research personnel in the Stream and River
Ecology Laboratory, SENR for their dedicated hard work in the field and laboratory
especially Paradzayi Tagwireyi, Brittany Gunther, Jeremy Alberts, Leslie Rieck, Adam
Kautza, and Xiaoxue Yang. I thank my two wonderful children Markus and Caroline for
their support in the field, laboratory, and most importantly at home.
v
Vita
June 1983 .......................................................Hillsdale High School, Hillsdale, MI
July 1983- July 2003………………………. United States Navy, Active Duty.
July 2003…………………………………….United States Navy, Retired.
2008................................................................B.S. in Environment and Natural Resources The Ohio State University 2008 to present ..............................................Graduate Research and Teaching Associate,
School of Environment and Natural Resources, The Ohio State University
Fields of Study
Major Field: Environment and Natural Resources (Fisheries and Wildlife)
vi
Table of Contents
Abstract……………………………………………………………………………………ii
Acknowledgements…………………………………………………………………….…iv
Vita…………………………………………………………………………………..…….v
List of Tables……………………………………………………………………………..vi
List of Figures…………………………………………………………………………....vii
Chapter 1: Background and Literature
Review………………………………….……………………………………………..…1.
Chapter 2: Bright lights, big city: influences of ecological light pollution on reciprocal
stream-riparian fluxes………………………………………………………………..….17.
Chapter 3: Consequences of artificial night lighting to stream-riparian invertebrate food
webs…………………………………………………………………………………......42.
References……………………………………………………………………….………85.
Appendix A: Location of study reaches, Columbus Metropolitan Area, OH…………..94.
Appendix B: Physical characteristics of urban stream reaches in the Columbus
Metropolitan Area…………………………………………..………………………..….95.
Appendix C: Insect families captured in emergence traps…………………………......96.
Appendix D: Terrestrial arthropod families captured in pan traps……………………..97.
vii
Appendix E: Summary statistics of invertebrate descriptors for urban stream study
reaches in the Columbus Metropolitan Area…………………………………………..98.
Appendix F: Synthesis of ELP effects on stream-riparian invertebrates….……..…...99.
Appendix G: Emergent and floating pan trap deployment (image)………………….100.
Appendix H: Experimental light deployment design……………….……………101-102.
Appendix I: Meteorological data for the Columbus Metropolitan Area, 2010 –
2011………………………………………………………………………………….…103.
viii
List of Tables
Table 1.1. Common stream-riparian invertebrate families found in small urban stream
systems in the Columbus Metropolitan Area………………………….……………….6.
Table 1.2. Terrestrial and aquatic biotic response to artificial night lighting………….13.
Table 2.1. Repeated measures analysis of variance for bimonthly aquatic-terrestrial
invertebrate responses to ecological light pollution for study reaches in Columbus
Metropolitan Area…………………………………………………………………...34-35.
Table 2.2. General linear models of bimonthly aquatic-terrestrial responses to ecological
light pollution for study reaches in the Columbus Metropolitan Area………………….36.
Table 3.1. Physical characteristics for urban stream reaches in the Columbus
Metropolitan Area. ……………………………………………………..…………….....69.
Table 3.2. Summary statistics for trophic descriptors of numerically-dominant
invertebrates at stream reaches in the Columbus Metropolitan Area. ………………….70.
Table 3.3. General linear models of aquatic-terrestrial responses to ecological light
pollution (ELP). ……………………………………………………………………..….71.
Table 3.4. Trophic responses of aquatic-terrestrial invertebrate community to
experimental light addition…………………………………………………...…………72.
ix
List of Figures
Figure 1.1. Representation of reciprocal food-web linkages in a stream ecosystem….…7.
Figure 2.1. Bimonthly aquatic-terrestrial invertebrate responses to ecological light
pollution..………………………………………………………………………..…...37-40.
Figure 2.2. Responses of aquatic-terrestrial invertebrates to experimental light
addition........................................................................................................................37-41.
Figure 3.1. Dual isotope plots (δ13C and δ15N) for aquatic and terrestrial invertebrates………………………………………………………………………….75-76.
Figure 3.2. Trophic position of aquatic-terrestrial invertebrate communities by ecological
light pollution (ELP) level …………..………………………………………………77-78.
Figure 3.3. Contribution of aquatic carbon to aquatic-terrestrial invertebrate communities
by ecological light pollution (ELP) level....................................................................79-80.
Figure 3.4. Variability in trophic position of aquatic-terrestrial invertebrate communities
by ecological light pollution (ELP) level…………………………………………….….81.
Figure 3.5. Food-chain length of aquatic-terrestrial invertebrate community by ecological
light pollution (ELP) level……………………………………………………...……….82.
Figure 3.6. Trophic response of aquatic-terrestrial community for experimental addition
of lights…………………….………………………………………………..…….…83-84.
x
Figure 4.1. Synthesis of the effects of artificial lights on stream-riparian invertebrate
community...............................................................................................................99.
1
Chapter 1: Background and Literature Review
On a global basis, freshwater systems are deteriorating at an alarming rate (Allan &
Flecker 1993; Postel 2000), largely because of human-induced habitat degradation (Petts
1996; Ward & Wiens 2001). Riparian zones - the three-dimensional assemblages of
vegetation and organisms adjacent to flowing water - have also been identified as
ecological priorities (Ammon 2000; Gregory et al. 1991; Iwata et al. 2003a). The critical
ecological services provided to society by linked stream-riparian ecosystems put them at
constant risk of degradation by pollution, overuse, landscape manipulation, and the
negative impact of invasive species (Decamps 2011). In particular, urbanization has
brought about changes in hydrology (e.g., increased impervious surfaces), habitat quality
(e.g., stream channelization, fragmentation of riparian areas), and nutrients (e.g.,
fertilizers, primary productivity) (Allen 2004, Paul and Meyer 2001), with multiple
adverse biotic effects (Bazinet et al. 2010, Hoellein et al, 2011, Laub et al. 2012). Many
of these changes have been conceptualized in the Urban Stream Syndrome (USS; Walsh
et al. 2005, Meyer et al. 2005), which has emerged as a framework through which to
understand urban-induced alterations in watersheds.
Despite recent progress in urban stream ecology, the effects of artificial night
lighting on ecosystem function remains poorly understood. The use of artificial night
lighting such as roadway, security lighting, and other urban light sources has dramatically
2
risen (Cinzano 2001, Smith 2009, Holker 2010). This trend is likely to continue given
that the world’s population is expected to increase from seven to nine billion by 2050
(U.N. 2011). However, only recently have the ecological implications of artificial night
lighting been seriously considered (Perkin et al. 2011). Artificial night lighting has been
shown to affect biological function (e.g., mating success, predator prey interactions) of
many terrestrial and aquatic organisms (i.e., bats, birds, amphibians, spiders, and insects),
but the effects of artificial night lighting on higher levels of biological organization are
largely unknown (but see Moore et al. 2001, Davies et al. 2012). Understanding the
consequences of artificial night lighting on linked stream-riparian ecosystems represents
a novel area of research with important conservation implications.
Urbanization and Streams
Walsh et al. (2005) introduced the Urban Stream Syndrome, synthesizing common
consequences of perturbations driven by urbanization on stream systems. These
consequences include altered hydrology, loss of stream canopy, nutrient enrichment,
elevated contamination, reduced biotic richness or loss of sensitive fishes and benthic
invertebrates, and an increase in the relative abundance of pollution tolerant taxa (Walsh
et al. 2005). In particular, modified hydrological regimes and sediment flux dynamics in
urban systems can have serious impacts on fluvial geomorphology and benthic habitat
characteristics (Lane 1955, Leopold 1968, Paul and Meyer 2001). Impervious surfaces
(i.e., paved roads, parking lots, and extensively manicured lawns) typical of developed
landscapes limit the infiltration of precipitation and lead to greater surface runoff that is
3
efficiently routed through storm drains and directly into river channels. Floods of greater
magnitude, shorter lag time between precipitation and flood events, and limited
groundwater infiltration act in concert to disrupt hydrologic regimes with concomitant
impacts to channel morphology and negative effects on stream biota (Paul and Meyer
2001). Characteristic effects of development on watershed hydrology lead to channel
erosion and incision, as well as increased channel width and decreased habitat
heterogeneity (Hollis 1975, Booth 1990, Pizzuto, Hession and McBride 2000, Hession
2001).
Biological responses to urbanization have been largely investigated relative to
structural characteristics of aquatic communities. For example, multiple investigators
have observed a loss of sensitive macroinvertebrate species with increased urbanization
(Brown et al. 2009, Helms et al. 2009, Ramirez et al. 2009, Steuer et al. 2009). Total
impervious area (TIA) of the watershed has been shown to negatively influence both
macroinvertebrates and fishes (Allan et al. 1997, Wang et al. 2001). Kautza and Sullivan
(2012) found that urban and exurban land use were key factors in explaining patterns in
fish assemblage descriptors in and around the Columbus Metropolitan Area (CMA). Few
studies have addressed responses of other stream-riparian taxa to urbanization (Lussier et
al. 2006, Miller et al. 2007).
Doi (2009) showed that algae production was determined at the reach scale and
hydrography responded to urban effects at a watershed scale. In natural low-order
streams, relative light intensity for the production of benthic algae is low, making
suspended matter from upstream and terrestrial organic matter the significant contributors
4
for benthic secondary production. Roy et al. (2005) showed that reach scale deforestation
can create localized increases in stream food resources (i.e., chlorophyl a), illustrating
that open reaches (i.e., reduced riparian canopy) were more autochthonous and supported
higher levels of algivorous fish species. A study conducted by Gucker et al. (2010) in a
low order stream (at reach scale) showed overall benthic invertebrate production
increased in urban conditions, yet showed a decrease in the secondary production of the
benthic shredder (Gammarus roesci) due to decreased CPOM flux to the stream,
suggesting potential for an overall trophic shift from detritivory to algivory leading to a
higher reliance on autochthonous carbon at the community level.
Land-surface water flow and waste discharge pipes are known to introduce
contaminants like pesticides and sediment to streams. Roy et al. (2011) found urban
groundwater contamination a major contributor of metals to stream water where as many
as 88% of the stream reaches tested carried toxic chemicals with a probable risk for
aquatic life (i.e., perchlorate, chlorinated ethenes, Cd, As, Zn). Sholtz et al. (2011)
showed severe die-off of coho salmon (Oncorhynchus kisutch) in urban streams, some
reaching 90% kill-off as compared to the non-urban streams where kill-off was ~1%.
Davies et al. (2010) used stream macroinvertebrates to determine urban stream condition,
showing a sharp decrease in taxa richness where 66% of the total families represented
were present at urban sites compared to 97% families represented at reference sites.
These authors concluded that instream habitat modification caused by modified
hydrology and water chemistry were the major factors leading to the decline in
invertebrate family richness. Angradi et al. (2010) found a similar response to
5
urbanization where a marked increase in pollution tolerant mayfly genera (i.e,
Amercaenis, Caenis, Pseudocloen) were found at urban sites. Bazinet et al. (2010)
compared biotic patterns in stream basins of differing levels of urbanization (as
characterized by % urban land cover) and observed that higher levels of urbanization
were related to decreased macroinvertebrate richness; a decrease in the relative
abundance of intolerant Ephemeroptera, Plecoptera, and Trichoptera; and an increase in
tolerant macroinvertebrate families including Hirudinae, Haliplidae, Hydrophylidae,
Curculionidae, and Tabinidae.
Stream-Riparian Invertebrates
The use of arthropods and aquatic macroinvertebrates as indicators of ecosystem health is
a useful and powerful research tool (Underwood and Fisher, 2006). Invertebrates can be
used as indicator species and as surrogates of habitat quality (Rehn, 2009). Occupying
multiple levels in the trophic hierarchy (Hodge 1999, Walther and Whiles, 2008), aquatic
macroinvertebrates and terrestrial arthropods play an important role in stream ecosystems
at both local and watershed scales (Greenstone 1999). Benthic macroinvertebrates are
remarkable in their taxonomic and functional diversity (Merritt and Cummins 1996;
Table 1.1) and have been widely used to help understand the consequences of
environmental change on stream ecosystems (Orendt 2012).
Riparian invertebrate species are significant components of freshwater
ecosystems, as they function as major predators of aquatic insects in shoreline and
riparian habitats (Coddington and Levi 1991). Riparian arthropods have also been shown
6
to respond to a suite of environmental changes such as riparian corridor width, stream
flow and flooding, and habitat fragmentation (Lambeets 2009, Ives 2011, Akamatsu
2011).
Table 1.1. Common stream-riparian invertebrate families found in small urban stream systems in the Columbus Metropolitan Area.
Aquatic-Terrestrial Linkages
Streams and their adjacent riparian zones are tightly-linked through energy exchanges,
and reciprocal transfers of energy through these linkages are essential for functional,
healthy ecosystems (Figure 1.1). Transfers of energy between terrestrial and freshwater
ecosystems, particularly in terms of carbon flow, are often seen as unidirectional
pathways in which terrestrially-derived organic matter, nutrients, and biota provide
energy to aquatic consumers (Covich et al. 1999; Power et al. 2004).
Taxon Guild Activity pattern Preferred habitatTerrestrial
Salticidae Ant and beetle mimicry Diurnal, nocturnal Leaf litter, tree canopyLycosidae Visual hunters (stalking, ambushing) Diurnal, nocturnal Ground dwelling, widely distributedAnyphaenidae Wandering hunters Nocturnal Ground dwelling vegetation, leaves, rocksTetragnathidae Aquatic emergent insect specialist Mostly nocturnal Horizontal orb-webs near the stream channeFormicidae Scavenger, predator Diurnal Soil, wood, vegetation (ubiquitous)Oniscus Detritivore Diurnal, nocturnal Terrestrial detitus (ubiquitous)Opiliones Predator, fungivore, scavenger Diurnal, nocturnal Terrestrial (ubiquitous)Spirobolidae Omnivore, carnivore, herbivore Diurnal, nocturnal Terrestrial detritus (ubiquitous)
Aquatic Chaoboridae Impalers, ectoparasites Mostly active at night Benthos (ubiquitous)Chironomidae Detritivore, filter-feeder, gatherer, Mostly active at night Benthos (ubiquitous)
fungivore, parasiteCeratopoginidae Impaler, ectoparasite Benthos (ubiquitous)Heptaginiidae Herbivore, scavenger, predator Mostly active at night Under stream cobbles, sandy riversHydopsychidae Algivore, detritivore Light indifferent Benthic net spiners (cobble) Baetidae Algivore, detritivore Mostly active at night Cool swift running streams
7
Figure 1.1. Representation of reciprocal food-web linkages (e.g., energy flows as represented by arrows) in a stream-riparian ecosystem (from Sullivan and Rodewald 2012). Also see Baxter et al. (2005).
As the River Continuum Model (Vannote 1980) predicts, natural low-order
deciduous forested stream canopy limits primary production of autochthonous carbon
(i.e., epilithic algae). Stream secondary production relies heavily on the input of
allochthonous carbon from terrestrial sources (i.e., leaf litter detritus). Invertebrates
entering the stream can also provide a significant proportion of energy to aquatic food
webs. For example, Nakano and Murakami (2001) found that trout, char, and salmon
(Oncorhynchus mykiss, Salvelinus malma, Oncorhynchus masou, respectively)
selectively fed on terrestrial arthropods in small, forested streams in Japan. These
authors reported that 33% of the fish diet consisted of terrestrial arthropods, although the
terrestrial arthropod fraction of stream drift totaled only 10 - 15%. Nakano et al. (1999)
8
observed that ~80% of the diet of drift-feeding char (Salvelinus malma, Salvelinus
leucomaenis) was comprised of terrestrial arthropods.
Recent research has highlighted the role of reverse flows of energy exchanges
from aquatic to riparian zones in providing an important trophic subsidy to riparian and
terrestrial food webs (Baxter et al. 2005; Henschel et al. 2001; Power and Rainey 2000).
Insects that emerge from streams as adults (hereafter, ‘aquatic emergent insects’) are of
particular importance in energy exchanges from aquatic to riparian ecosystems and
represent an important source of energy for riparian consumers such as birds, bats, and
arthropods (Baxter et al. 2005; Murakami and Nakano 2002; Ormerod and Tyler 1991).
The direction of invertebrate fluxes may provide alternating resources to donor systems
in temperate zones, whereby the forest feeds the stream during the summer and the
stream fuels the forest from fall to spring (Power 2001, Baxter et al. 2005).
Trophic Dynamics and Food-Chain Length
Because streams are embedded in and exert influences on the surrounding landscape, the
structure and dynamics of stream-riparian communities are extremely complex and
considered “open” (Polis et al. 1996), incorporating taxa from both aquatic and terrestrial
environments. Consumers and resources within communities are connected via both
direct trophic relationships (e.g., predation) and indirect, non-trophic relationships (e.g.,
competition and facilitation) (Polis 1991, Levin 1999, Bruno et al. 2003, Berlow et al.
2004). These complex trophic networks (i.e., food webs) are critical pieces in
understanding community organization and population dynamics, as well as further
9
understanding fundamental ecosystem processes including rates of primary production,
decomposition, and nutrient cycling (Lamberti et al. 2010, Richardson et al. 2010, Bartels
2012).
Understanding variations in the trophic position of various consumers is central to
many ecological theories (Sanzone et al., 2003, Vander Zanden and Fetzer 2007). Food-
chain length is a fundamental measure of energy flow in ecosystems and is key in
determining trophic structure and changes (e.g.,, trophic cascades) in food-web structure
(Vander Zanden and Fetzer 2007). Realized food-chain length, also known as maximum
trophic position (MTP; sensu Post 2002) estimates the trophic position of the top predator
using stable isotopes of δ13C and δ15N, compared to the isotopic signature of the base of
the food chain (i.e., periphyton and detrital leaf litter). This approach eliminates the need
to determine the complex array of potential predator-prey relationships and the difficulty
in deciphering trophic interactions above the herbivore level where trophic omnivory
prevails (Thompson et al. 2007) and enables comparison among food webs of interest
(Sabo et al. 2009).
In stream ecosystems, resource availability has been theorized to control food-
chain length (Sabo et al 2009). Huxel and McCann (1998) found that increasing inputs
from high-subsidy areas to low-subsidy areas alter consumption rates, thereby altering
food-web stability. Increased inputs of allochthonous basal resources (e.g., detrital leaf
litter) act upon food-chains through bottom-up effects. These authors found that
increased resources incorporated at low to moderate trophic levels bolster the strength of
lesser parallel food chains in the reticulate food web, thereby decoupling the food-chains
10
susceptibility to trophic cascades and stabilizing trophic structure (i.e., Multichannel
Omnivory Concept; Polis and Strong 1998). When resources are incorporated at higher
trophic levels (e.g., inputs of terrestrial macroinvertebrates), top-down influences can
occur because these resources support a greater population of organisms occupying a
higher trophic level (Polis and Strong 1998).
Stable isotope analysis (SIA) has emerged as a useful tool for measuring and
estimating trophic position and food sources (Post 2002, Kato 2004, Baxter 2005,
Anderson and Cabana 2007, Walters and Post 2008). SIA utilizes naturally abundant
isotopes of carbon and nitrogen to quantify the assimilated energy as opposed to the
ingested food and trophic position, respectively (Post 2002). SIA enables a better
understanding of food resource utilization over time. Impacts of human development on
aquatic ecosystems, such as urbanization and pollution have been shown to alter the
‘trophic basis’ (e.g., matter fluxes) and trophic structure (e.g., food-chain length) of
secondary production in streams and lakes (Gucker 2011, Brauns 2011). Therefore an
accurate estimate of local primary isotopic values used as baseline for food webs must be
incorporated. The stable isotope method derived by Post (2002) incorporates an estimate
of the isotopic signature of the base of the food web δ15N by determining the fraction of
autochthonous (i.e., periphyton) vs. allochthonous (i.e., detrital leaf litter) carbon.
Trophic position = λ + (δ15Nsc – [δ15Nbase1 × α + δ15Nbase2 × (1-α)]) / Δn
where λ = trophic position of periphyton and detrital leaf litter, sc = secondary consumer
(e.g., tetragnathid spiders, ants, aquatic emergent insects), base1 = periphyton collected
from stream substrate, base2 = detrital leaf litter collected from water surface, α is an
11
estimate of nitrogen derived from autochthonous sources = (δ13Csc – δ13Cbase2) / (δ13Cbase1
– δ13Cbase2), and Δn = isotopic enrichment value for each trophic level. The following
assumptions are often made when using this model: (1) periphyton is the major
contributing autochthonous primary producer and detrital leaf litter is the primary
allochthonous energy source (n =2); (2) Trophic enrichment values for prey are 1.0‰ for
δ13C and 3.4‰ δ15N (Post 2002).
Isotope analysis experiments, such as the systematic addition of 15N, allow an
accurate estimate of subsidy pathway (Peterson 1999). A 15N tracer addition experiment
conducted in a Sonoran desert stream revealed that orb-weaving spiders living along the
stream edge obtained 100% of their C and 39% of their N from instream sources and
ground dwelling hunting spiders obtained 68% of their C and 25% of their N instream
sources (Sanzone et al., 2003). Natural abundance studies are also a useful tool to
determine energy flow and trophic linkages. Collier et al. (2002) showed that aquatic
insects provided approximately 60% of C assimilated by riparian spiders alongside two
New Zealand streams and Iwata et al. (2003) observed that 54% of riparian spider diet
was made up of aquatic prey in twenty six deciduous forested streams in Japan.
Artificial Night Lighting
ecological light pollution (ELP)
Artificial light (e.g., streetlamp, vehicle headlight) that alters the natural patterns of light and dark in ecosystems (ELP, sensu Longcore and Rich) 2004).
12
Over the past few decades, artificial night lighting, such as, roadway, security
lighting, and other urban light sources, has dramatically increased (Smith 2009, Holker
2010). Approximately one fifth of the earth’s terrestrial surface is exposed to ecological
light pollution (ELP, Cinzano 2001). This trend is likely to increase given that the
world’s urban population is expected to increase from 50% to 70% by 2050 (U.N. 2010).
In the U.S., ~30% of outdoor electrical light is wasted as light pollution (California
Energy Commission 2005). Certain urban areas (i.e., shopping mall parking lots) may
reach light intensities approaching 2000x greater than natural nighttime light levels
(Falchi 2011). However, only recently have the ecological implications of artificial night
lighting received serious attention (Perkin et al. 2011).
As 30% of vertebrates and 60% of all invertebrates are nocturnal (Kyba 2011),
artificial night lighting carries serious implications as a threat to diversity and for changes
in ecosystem function (Holker et. al., 2010). To date, ELP has largely been explored
relative to individuals or populations of both aquatic and terrestrial taxa. For example,
ELP has been shown to influence mating success, predator-prey relations, and migration
of many organisms including birds, bats, fish amphibians, zooplankton, amphipods
(Table 1.2).
13
Table 1.2. Terrestrial and aquatic biotic response to artificial night lighting.
Only very recently has artificial light been investigated relative to higher levels of
biological organization. Davies et al. (2012) found an increased number of ground-
dwelling arthropod predators and scavengers near street lights. Artificial night lighting
has also been shown to attract aquatic emergent insects, thereby disrupting their dispersal
patterns and in some cases serving as ecological traps leading to direct mortality and
increased predation (Schlaepfer et al., 2002, Horvath 2009). Studies conducted by Yoon
et al. (2010) implicated artificial light sources as the main cause of extinctions of local
populations of the giant water bug (Lethocerus deyrolli).
Spectral composition (i.e., intensity, polarization, frequency) of light can be an
important influence on the biological function of insects. Kyba et al. (2011) showed that
urban light (i.e., skyglow) reflecting from natural surfaces (i.e., cloud cover) can
Taxon Response to artificial light CitationBats Juvenile bat health negatively affected. Buldough et al. 2007
60% reduction in feeding buzzes of the pond bat (Myotis dasycneme ) Kuiper et al. 2008Flight activity reduced Lesser horseshoe bat (Rhinolophus hipposideros ) Stone et al. 2009
Birds Increased the foraging success of nocturnal wading birds( e.g., ringed plover [Charadrius hiaticula ], grey plover [Pluvialis squatarola] ) Santos et al. 2010
Early egg lay date in song birds (Cyanistes caeruleus, Parus major, Turdus merula) Kempenaers 2010Early morning singing behavior in American Robins (Turdus migratorus) Miller 2005
Frogs Fewer mating calls and decreased activity in green frog (Rana clanitans melanota) Baker and Richardson 2006
Freshwater shrimp Initiated untimely diel migration in the water column. Gal et al. 1999Daphnia Initiated untimely diel migration in the water column. Moore et al. 2000Zooplankton Initiated untimely diel migration in the water column. Hansson et al., 2007
Fish Increased egg developmnet and hatching time of perch (Perca fluviatilis) Bruning et al. 2011and roach (Rutilus rutilus) .
Invertebrates Strongly effected by artificial night lighting at individual and community levels Longcore and Rich 2004Kyba 2011
14
consistently produce light levels equivalent to areas naturally lit by the full moon. Some
nocturnal insects (i.e., Scarabacus zambesianus) are known to use polarized light to
navigate during the night where they align themselves at ~90° to the naturally polarized
light of the moon. Robertson et al. (2010) showed that natural light reflected from
artificial surfaces (i.e., window glass, road surfaces, plastic sheeting) polarizes and has
properties similar to light reflecting from the water surface ( Horvath et al. 2008).
Polarotactic aquatic emergent insects (e.g., Ephemeroptera, Trichoptera, Diptera) are
drawn to these surfaces where they fail to mate and often become prey for terrestrial
predators such as birds (Horvath et al., 2008). Horvath (2008) estimated that the
quantity of plastic sheeting used for a 10-hectare strawberry farm could trap and kill
approximately one ton of aquatic emergent insects a day.
Ali et al. (1984) experimentally showed a differential attraction response to
artificial light by midges (i.e., Chironomidae), where color of light (i.e., white, yellow,
blue, green, red) and species were significant factors in determining attraction to artificial
light. Spectral composition has the potential to alter insect community diversity and
composition. For example, Langevelde et al. (2011) reported a size-biased flight to light
behavior, where smaller moth species were more abundant at artificial light sources than
were larger species and this increased the potential of selective mortality.
In a laboratory experiment where artificial light sources were used to test the
control of light on activity of benthic macroinvertebrates, Bishop (1969) found that
photoperiod and intensity of artificial light over the model stream had strict control on
invertebrate activity as measured by drift biomass. Overall, benthic stream drift was
15
suppressed by artificial light. Benthic taxa showed a differential response to artificial
light where Limnephiliidae showed no response to light and Phasganophora,
Ephemerella, and Stenonema activity was restricted to the dark periods. Activity was
suppressed at light intensities between (0.01 – 0.1 lux).
Terrestrial arthropod predators such as spiders are also susceptible to the effects
of artificial night lighting. Nocturnal spiders, such as orb-web weaving spiders of the
family Araneidae, capture prey at higher rates when building webs in well-lit locations
(Heiling, 1999). The collective effects of artificial night lighting on aquatic and
terrestrial invertebrates might be expected to not only shift patterns of invertebrate
community diversity, but to exert strong effects on broader ecosystem function by
restructuring important aquatic-terrestrial linkages (i.e., reciprocal flow).
Summary and Objectives
The ecological perturbations caused by urbanization are widespread and increasing.
Although we are becoming increasingly aware of the biotic responses at the individual
and population levels to ecological light pollution in both aquatic and terrestrial
ecosystems, consequences to communities and ecosystems are poorly understood.
Because exchanges of material and energy between aquatic and terrestrial systems are
critical for broader ecosystem function, it is crucial to determine the effects of artificial
light on aquatic-terrestrial linkages. The overarching goal of this study was to better
understand the effects of artificial night lighting on the dynamics of linked stream-
riparian ecosystems. In particular, this thesis addresses the influence of ecological light
16
pollution on reciprocal stream-riparian invertebrate fluxes (Chapter 2) and the trophic
dynamics of linked stream-riparian invertebrate food webs (trophic structure, food-chain
length, contribution of aquatic carbon to aquatic and terrestrial invertebrate consumers;
Chapter 3). This work will expand understanding of the ecological consequences of
artificial night lighting on linked stream-riparian ecosystems. In turn, it is my hope that
results from this work will inform conservation initiatives related to biodiversity of urban
stream ecosystems.
17
Chapter 2: Bright lights, big city: influences of ecological light pollution on reciprocal
stream-riparian fluxes
(submitted for review to Ecological Applications – June 2012)
Authors: Lars A. Meyer and S. Mažeika P. Sullivan, School of Environment & Natural
Resources, The Ohio State University, 2021 Coffey Rd., Columbus, OH 43210, USA
Corresponding author: Lars A. Meyer, School of Environment & Natural Resources,
The Ohio State University, 2021 Coffey Rd., Columbus, OH 43210, USA. Email:
meyer.541@osu.edu; Fax: (01)614-292-7342
18
Abstract. Cities produce a high intensity of ecological light pollution (ELP), yet the
effects of artificial night lighting on communities and ecosystem function remain
unexplored. At urban streams in Columbus, OH, we investigated the influences of ELP
on reciprocal stream-riparian arthropod fluxes. From June 2010 to June 2011, we
surveyed aquatic emergent insects, riparian arthropods entering the stream, and riparian
spiders (Tetragnathidae) at nine stream reaches of differing ambient ELP levels (low: 0 -
0.5 lux; moderate: 0.5 - 2 lux; high 2 - 4 lux). In August 2011, we experimentally
increased light levels at the low and moderate treatment reaches to ~12 lux. Although
season exerted the dominant influence on invertebrate fluxes over the course of the year,
we found that light strongly influenced multiple invertebrate descriptors for discrete time
periods. The experimental light addition resulted in decreases in tetragnathid density (p =
0.035), aquatic emergent insect family richness and biomass (p = 0.057 and 0.166,
respectively), and density of terrestrial arthropods entering stream (p <0.154). Our
results represent the first evidence that artificial light sources can alter community
structure and ecosystem function.
Key words: ecological light pollution, ecosystem function, stream-riparian invertebrate
fluxes, tetragnathid spiders, urban streams
19
Introduction
Over the past few decades, artificial night lighting (e.g., roadway, security
lighting, and other urban light sources) has dramatically increased (Smith 2009, Hölker
2010). This trend is likely to increase given that the world’s urban population is expected
to increase from 50% to 70% by 2050 (U.N. 2007). However, only recently have the
ecological implications of artificial night lighting been seriously considered (Perkin et al.
2011). For invertebrates, artificial night lighting has been shown to strongly affect
terrestrial and aquatic taxa at both individual and population levels (Longcore and Rich
2004, Kyba 2011b). For example, artificial night lighting has been shown to attract post-
emergent aquatic insects, thereby disrupting their dispersal patterns, and in some cases
serving as ecological traps leading to direct mortality and increased predation (Ali and
Lord 1980, Horvath 2009). Yoon et al. (2010) suggested that artificial light was the main
cause of extinctions of local populations of the giant water bug (Lethocerus deyrolli).
Only very recently has artificial night lighting been implicated in altering higher levels of
biological organization (e.g., community composition; Davies et al. 2012). The potential
consequences on ecosystem function are yet unknown. However, further understanding
these consequences may be critical for effective management and conservation of
biodiversity and ecosystem function of freshwater ecosystems in an increasing bright
world.
Aquatic insects and riparian arthropods represent important functional components
of stream-riparian ecosystems (Greenstone 1999, Malmqvist 2002, Post 2007). In
particular, reciprocal aquatic-terrestrial fluxes of invertebrates between the stream and the
20
riparian zone provide important energy resources to both aquatic and terrestrial
consumers (Nakano and Murakami 2001, Akamatsu et al. 2004). For instance, the
importance of terrestrial arthropods to drift-feeding fishes was clearly illustrated in a
study by Nakano et al. (1999), who observed that ~80% of the diet of drift-feeding fish
was composed of terrestrial arthropods. Conversely, aquatic-to-terrestrial invertebrates
also provide important subsidies to riparian and terrestrial food webs (reviewed in Baxter
et al. 2005). For example, certain groups of riparian spiders can be highly reliant on
aquatic insects (Sanzone et al. 2003, Burdon and Harding 2008) and the abundance of
some families of riparian web-weaving spiders (e.g., Tetragnathidae) has been shown to
be tightly linked to the abundance and distribution of aquatic insects (Kato et al. 2003).
To better understand the effects of artificial night lighting on linked stream-riparian
ecosystems, we investigated the potential influence of ecological light pollution (ELP,
sensu Longcore and Rich 2004 ) on reciprocal stream-riparian invertebrate fluxes
(biomass, density, and diversity of aquatic emergent insects and riparian arthropods that
fall into the stream; density of tetragnathid spiders) in Columbus, OH, USA. Our
research was based on the following guiding questions: (1) How does ELP relate to
stream-riparian invertebrate community characteristics including density, biomass and
family richness across the course of the year? (2) What are the consequences of ELP to
reciprocal aquatic-terrestrial invertebrate fluxes?
Methods
21
In June 2010, we scouted potential study reaches within the Slate Run
subcatchment of the Scioto River basin, located within the Columbus, OH Metropolitan
Area (CMA). At candidate study reaches, we recorded ambient light (i.e., ELP) during a
moonless night using a handheld photometer (Ex-Tech Model #403125). We measured a
minimum of three light (lux) measurements at the top, middle, and bottom of each 30-m
reach and recorded the average value. From these measurements, we categorized ELP
into three levels: low (0 - 0.5 lux), moderate (0.5 - 2 lux), and high (2 - 4 lux), which
represent ELP levels commonly found in canopied urban streams of the CMA. Of the
candidate reaches, we selected three study reaches (Appendix A) of each ELP light level
(n = 9) that represented minimal variability in stream physicochemical (e.g., water
quality, substrate, geomorphology) and riparian (adjacent land use, buffer width,
vegetation) characteristics (Appendix B). The ambient light levels at the low ELP sites
represented the lowest light levels in the study system and served as our control reaches.
We estimated mean canopy density within the channel and along the riparian area of each
study reach using a GRP handheld densitometer (Kelly and Krueger 2005, Progar and
Moldenke 2008).
At each study reach, we conducted bimonthly collections of aquatic emergent
insects and riparian arthropods entering the stream from June 2010 – June 2011. For
aquatic emergent insects, we used floating Mundie-style emergence traps (Mundie 1964).
We anchored three 1-m2 traps: one each towards the top, middle, and bottom of each
study reach and located in dominant flow-habitats of the reach (typically a riffle, pool,
and a run). For terrestrial arthropods entering the stream, we used floating pan traps
22
(Grigarick 1959). We deployed three rectangular 0.25-m2 traps under the vegetative
canopy along the stream, placed in a similar fashion as the emergent traps at the top,
middle, and bottom of each reach. We partially filled the pan traps with water
(approximately 4 cm) and a few drops of surfactant (soap) to trap invertebrates
(Greenwood, 2004). We deployed emergence and pan traps for ten days during the
middle of each sampling month. We collected specimens from the traps approximately
every other day and transported them to the laboratory, where they were immediately
frozen. Subsequently, we sorted, enumerated, and identified all samples to family using
Tripplehorn and Johnson (2005), Merritt and Cummins (1996), and Ubick and Paquin
(2005) as guides. All samples were oven dried at 55 C° (~48 hours) and weighed (g m-2)
(Sanzone et al., 2003; Akamatzu et al., 2007).
We also surveyed the active webs of horizontal orb-web building spiders of the
family Tetragnathidae by conducting nighttime web counts, a measure often used as a
surrogate for tetragnathid spider abundance (Benjamin et al. 2011). We recorded all
active orb webs within 1m of the stream edge and up to 2m in height following Williams
et al. (1995).
Experimental addition of light
In early July 2011, we added strings of battery operated white LED lights (broad
spectrum) to reaches categorized as low and moderate ELP levels in 2010. However,
because of a loss of access to one of the moderate sites, we were left with five
experimental reaches (n = 5). We did not include a true control set of sites (i.e., no light
23
addition) in 2011 for the following reasons: (1) Benthic invertebrate data (2009-2011)
from stream monitoring efforts in the same study stream indicated minimal inter-annual
variability in community composition (Sullivan, unpublished data), (2) All experimental
stream reaches were located in close proximity to one another within the same stream
system, thus any environmental changes between years would presumably have had
similar effects on all sites, and (3) Flow, precipitation, and temperature were comparable
for the 2010 and 2011 sampling periods (Appendix I).
At each experimental site, we wired LEDs into clusters to create ‘pockets’ of
diffuse light to simulate infiltration of ELP from artificial sources (e.g., street lights, yard
security lights). We secured light strings to the overhanging foliage along the stream
channel longitudinally and across the stream to approximate light levels up to 12 lux as
measured 1m above the stream surface. The light strings were lighted continuously until
sampling was completed (Appendix H). During mid-August, we collected aquatic
emergent insects and terrestrial arthropods falling into the stream, and we surveyed
tetragnathid spider webs following the same protocols described previously.
NUMERICAL AND STATISTICAL ANALYSIS
For all reaches, we calculated density (# m-2), biomass (mg m-2), and family
richness. Net aquatic-terrestrial invertebrate flux was based on the difference between
aquatic emergent insect density and terrestrial arthropod density (e.g., positive values
represent a greater aquatic-to-terrestrial invertebrate flux; negative values, a greater
terrestrial-to-aquatic flux). We performed repeated measures analysis of variance
24
(rANOVA) to test for potential differences in aquatic emergent insect and riparian
arthropod descriptors (density, biomass, family richness, net flux) and tetragnathid
density within each sampling month (season). In our analysis, the between-subject factor
was ELP level, the within-subject factor was month (Jun., Aug., Oct., Dec., Feb., Apr.),
and the dependent variables were invertebrate descriptors. The interaction “ELP*month”
was also included in the models. We followed with linear contrasts for models where
ELP was a significant factor.
Subsequently, we ran general linear models (GLMs) for each sampling month to
test for the influence of ELP independent of season on aquatic emergent insects,
terrestrial arthropods, and tetragnathid spiders. Although we opted not to include canopy
cover in the rANOVA models given the highly correlative relationship between month
and canopy cover, we did include canopy cover as a covariate in the GLMs as the
influence of canopy cover on aquatic macroinvertebrates and terrestrial arthropods is well
known (Progar and Moldenke 2009, Riley et al. 2009). In all GLMs, ‘reach’ (nested
within ‘ELP’) was included as a random variable. ‘ELP’ was included as a fixed variable
and ‘canopy’ was included as a covariate. Where significant main effects were detected,
we conducted linear contrasts between ELP levels.
Lastly, we used paired t-tests to test for potential differences between our
invertebrate response measures from August 2010 (pre-experimental light addition) and
August 2011 (post light addition). We performed all analyses using Minitab 16
(Minitab®, State College, PA) and JMP 9.0 Statistical Discovery Software (SAS
Institute, Inc., Cary, NC).
25
Results
Overall, we recorded 17,281 stream and riparian arthropods, distributed among 35
aquatic and 77 terrestrial families. The diversity and density of stream-riparian
invertebrate communities were highly variable across the study sites (Appendix C and
Appendix D). As anticipated, season was the overwhelmingly influential factor on all
descriptors of aquatic-terrestrial invertebrate flux considered in this study (Table 2.1,
Figure 2.1). For aquatic emergent insects, light was not a significant factor in the
repeated measures models. However, for the October sampling period, ELP significantly
influenced measures of aquatic emergent insect flux (Table 2.2), where linear contrasts
showed that density and richness of aquatic emergent insects was greater at moderate
ELP reaches than at low and high ELP reaches (p < 0.01). Terrestrial inputs of
arthropods to the stream, although minor, was the only measurable arthropod flux from
December and February. ELP played a secondary role to season in influencing terrestrial
arthropod density (F = 4.27, p = 0.036) and biomass (F = 3.80, p = 0.043) with linear
contrasts indicating that terrestrial arthropod density at low and moderate ELP levels was
different than at high ELP levels (Figure 2.1d). Terrestrial arthropod density was
significantly different between low-moderate and high ELP levels for December and
February (p = 0.05), and suggestive for October (p < 0.10). This same pattern was
observed for terrestrial arthropod biomass in June and April (p < 0.05). We observed the
highest net flux value (220.2 individuals m-2) in August, indicating a greater aquatic-to-
terrestrial than terrestrial-to-aquatic transfer of invertebrates. Conversely, the greatest
26
terrestrial-to-aquatic flux occurred in October (-134.9 individuals m-2). The net flux
rANOVA model was the only model in which the effect strength of light (F = 2.84) and
the light*season (F = 2.86) were comparable to that of season (F = 3.94). Net flux was
also significantly different among all ELP levels (Figure 2.1g).
Across all study sites, tetragnathid spider activity was greatest in June and
August. Both month (F = 91.38, p < 0.001) and ELP (F = 11.27, p < 0.001) influenced
the density of Tetragnathidae (Table 2.1). Over the course of the year, spider density did
not differ between low and moderate ELP levels, but spider density at both low (F =
11.52, p = 0.004) and moderate (F = 19.77, p < 0.001) ELP sites were different from
density at high ELP level sites (Figure 2.1h).
EXPERIMENTAL ADDITION OF LIGHT
After experimentally increasing light intensity, we observed a 44% decrease in
tetragnathid spider density (Figure 2.2a) and a decrease in aquatic emergent insect family
richness (Figure 2.2b). We also observed trends that suggested decreases in aquatic
emergent insect family biomass (Figure 2.2c) and the density of terrestrial arthropods
falling into the stream (Figure 2.2d). We observed no difference in terrestrial arthropod
family richness or biomass, aquatic emergent insect density, aquatic-terrestrial net flux.
Discussion
The energetic pathways that link stream and riparian ecosystems can have
profound consequences for linked aquatic and terrestrial populations and food-web
27
dynamics (Vander Zanden & Sanzone 2004, Baxter et al. 2005, Sullivan & Rodewald
2012). We provide initial evidence that ecological light pollution can significantly
influence stream-riparian invertebrate community characteristics, cross-boundary
invertebrate fluxes, and riparian spiders that rely on these fluxes.
Our results supported our expectation that high ELP levels would associate with a
greater relative input of terrestrial arthropods entering the stream. Although this pattern
was limited to spring and early summer (Figures 2.1d and f), evidence from the
experimental increase in light supported this trend (Figure 2.2d). Artificial light has been
shown to disrupt nocturnal navigation and migration in some arthropods by masking the
physical properties (i.e., polarization) of the moon’s naturally reflected light (Kyba et. al.,
2011a) and is widely known to attract phototaxic insects (Ali and Lord 1980). An
increase in artificial light reflecting off the water’s surface may thusly alter the magnitude
of terrestrial arthropods entering the stream. The reversal of the effect of ELP on
terrestrial-to-aquatic arthropod input between fall and spring/summer (i.e., terrestrial-to-
aquatic input at high ELP sites was significantly reduced during the fall) may be due to
decreased activity (i.e., spiders, amphibians) or migration (i.e., birds) of key predators in
the terrestrial component of the food web.
We found aquatic emergent insect density and richness were significantly
increased in moderate ELP sites in October. However, increasing light levels to 12 lux
resulted in decreases in both family richness (Figure 2.2b) and biomass (Figure 2.2c). At
the site scale, a lower terrestrial-to-aquatic arthropod flux (Figure 2.2d) may lead to prey-
switching by stream fish from terrestrial arthropods on the water surface to benthic
28
invertebrates, thereby reducing aquatic emergent insect density (Baxter et al., 2004).
Additionally, given that the common invertivore fish species found in the study system
(e.g., creek chub [Semotilus atromaculatus], green sunfish [Lepomis cyanellus]) are
visual predators, artificial lighting may increase predation efficiency and extend
predation hours beyond the natural daylight hours (Santos et al., 2010). Although
increases in ELP may provide conditions more favorable for visual predators throughout
the year, this may be particularly consequential in autumn when light reaching the stream
increases due to tree canopy senescence. Emigration by aquatic emergent insects away
from the stream channel towards artificial light can result in ecological traps (Ali and
Lord 1980), with potential consequences to community structure at the broader, stream
scale.
Even at low light levels (Figure 2.2g), our results were not consistent with the
scenario in which the forest feeds stream food webs during the summer, and that
conversely, the stream fuels terrestrial food webs from fall to spring (Power 2001).
Measurable differences in net flux estimates among light levels did provide evidence that
artificial light may shift the balance of invertebrate feedback loops between the stream
and the riparian zone. However, the precise nature of these changes will require further
investigation.
Tetragnathid spider density showed a strong negative response to high ELP in all
months in which they were active (April thru October) as well as to the experimental
increase in light (Figure 2.2a). Light-induced increases in the activity of terrestrial
predators (birds and other invertebrates) likely contribute to reduced tetragnathid density.
29
For example, Davies et al. (2012) found an increase in the number of predators and
scavengers in ground-dwelling invertebrate communities under street lights. High light
levels may also increase predator capture rates by inhibiting the ability of spiders to
remain hidden. Additionally, high light levels have been shown to reduce the efficacy of
the ventrum spots used to lure prey in some spiders (Chuang et. al., 2008), potentially
forcing emigration to less lit areas.
Conclusions
To our knowledge, our findings provide the first evidence that artificial night
lighting alters ecosystem function. In addition, this study documents shifts in community
characteristics (e.g., biomass, density, diversity), supporting recent work that ELP affects
higher levels of biological organization (Davies et al. 2012). As the world’s populations
continue to urbanize, the potential for ELP to influence communities and ecosystems at
broader spatial scales also increases. Additional research that further explores the effects
of ELP in its many forms (e.g., point source, atmospheric reflection, polarization,
spectrum frequency, intensity, length of exposure period) in both aquatic and terrestrial
environments will be critical. In particular, we advocate for research that addresses the
influence of artificial night lighting on biodiversity, food webs, ecological networks, and
ecosystem function.
30
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Table 2.1. Repeated measures analysis of variance for bimonthly aquatic-terrestrial
invertebrate responses to ecological light pollution for study reaches in the Columbus
Metropolitan Area. Light levels are: high: 2 – 4 lux, moderate: 0.5 – 2 lux, low: 0 – 0.5
lux. Terrestrial arthropods refer to the flux of terrestrial insects and spiders to the stream.
Net flux = density of aquatic emergent insects – density of terrestrial arthropods falling
into the stream.
35
ModelAquatic emergent insect density (# m-2) F p df
Light 1.39 0.277 2Site (light) 0.69 0.664 6Month 66.58 < 0.001 5Light * Month 5.48 < 0.001 10
Aquatic emergent insect family richnessLight 0.64 0.540 2Site (light) 1.81 0.169 6Month 95.99 <0.001 5Light * Month 0.93 0.525 10
Aquatic emergent insect biomass (mg m-2)Light 0.08 0.925 2Site (light) 2.35 0.084 6Month 28.45 < 0.001 5Light * Month 0.73 0.694 10
Terrestrial arthropod density (# m-2)Light 4.27 0.036 2Site (light) 2.44 0.079 6Month 31.27 < 0.001 5Light * Month 2.25 0.059 10
Terrestrial arthropod family richnessLight 1.94 0.181 2Site (light) 1.68 0.198 6Month 44.64 < 0.001 5Light * Month 0.63 0.771 10
Terrestrial arthropod biomass (mg m-2)Light 3.80 0.043 2Site (light) 1.29 0.312 6Month 33.40 < 0.001 5Light * Month 2.66 0.024 10
Net flux (# m-2)Light 2.84 0.086 2Site (light) 1.07 0.430 6Month 3.94 0.022 5Light * Month 2.86 0.015 10
Tetragnathid (# reach -1)Light 10.77 < 0.001 2Site (light) 4.29 0.008 6Month 80.04 < 0.001 5Light * Month 1.55 0.183 10
36
Table 2.2. General linear models of bimonthly aquatic-terrestrial responses to ecological
light pollution for study reaches in the Columbus Metropolitan Area. Light levels are:
high: 2 – 4 lux, moderate: 0.5 – 2 lux, low: 0 – 0.5 lux. Terrestrial refers to terrestrial
arthropods refer to terrestrial insects and spiders falling into the stream. Net flux =
density of aquatic emergent insects – density of terrestrial arthropods falling into the
stream. % Canopy is an estimate of tree canopy coverage (%) above the stream channel.
* indicates insufficient data to run model.
June August October December February AprilModel df χ2 p χ2 p χ2 p χ2 p χ2 p χ2 p
Aquatic emergent insect density (# m-2)Light 2 0.60 0.739 0.04 0.978 25.54 <0.001 * * * * 0.44 0.802
Site(light) 6 3.58 0.827 6.24 0.512 14.09 0.049 * * * * 15.26 0.018Canopy 1 0.51 0.477 0.02 0.875 0.001 0.951 * * * * 0.24 0.626
Aquatic emergent insect family richnessLight 2 1.31 0.519 0.38 0.825 9.05 0.011 * * * * 1.88 0.389
Site(light) 6 12.89 0.075 5.72 0.573 7.53 0.376 * * * * 6.14 0.274Canopy 1 0.37 0.540 0.24 0.627 3.02 0.082 * * * * 1.19 0.333
Aquatic emergent insect biomass (mg m-2)Light 2 8.01 0.352 1.19 0.549 3.08 0.214 * * * * 0.62 0.732
Site(light) 6 2.09 0.330 19.74 0.006 22.72 0.002 * * * * 9.19 0.163Canopy 1 2.20 0.138 1.19 0.275 1.15 0.284 * * * * 0.02 0.880
Terrestrial arthropod density (# m-2)Light 2 0.66 0.719 1.60 0.449 4.85 0.088 7.79 0.021 12.18 0.002 2.52 0.284
Site(light) 6 1.35 0.987 5.69 0.576 23.74 0.001 31.99 <0.001 5.05 0.654 5.42 0.490Canopy 1 0.01 0.908 0.00 0.976 2.33 0.127 0.00 1.000 0.00 1.000 3.01 0.083
Terrestrial arthropod family richnessLight 2 0.63 0.730 0.66 0.717 0.68 0.709 7.77 0.021 8.41 0.015 5.85 0.540
Site(light) 6 8.22 0.314 3.83 0.799 6.76 0.455 31.99 <0.001 3.68 0.816 10.19 0.117Canopy 1 0.38 0.845 0.05 0.817 0.73 0.392 0.00 1.000 0.00 1.000 2.94 0.086
Terrestrial arthropod biomass (mg m-2)Light 2 5.69 0.058 2.36 0.307 3.62 0.164 1.96 0.375 3.23 0.199 28.63 < 0.001
Site(light) 6 27.98 0.002 3.71 0.813 8.51 0.290 11.76 0.109 7.38 0.390 49.93 < 0.001Canopy 1 4.27 0.039 0.03 0.862 1.81 0.179 0.00 1.000 0.00 1.000 0.02 0.875
Net flux (# m-2)Light 2 0.43 0.809 0.03 0.986 15.19 < 0.001 2.27 0.322 12.18 0.002 2.35 0.309
Site(light) 6 11.1 0.134 7.92 0.339 25.23 < 0.001 16.22 0.023 5.05 0.654 3.69 0.815Canopy 1 0.001 0.997 0.04 0.842 2.32 0.127 0.00 1.000 0.00 1.000 1.13 0.288
Tetragnathids (# reach -1)Light 2 0.977 0.614 7.55 0.023 2.03 0.363 * * * * 0.78 0.678
Site(light) 6 11.42 0.076 16.98 0.009 37.01 <0.001 * * * * 20.47 0.002Canopy 1 0.34 0.342 0.00 0.961 0.20 0.651 * * * * 1.29 0.255
37
Figure 2.1. Bimonthly aquatic-terrestrial invertebrate responses to ecological light
pollution (based on least squared means). (a) Density of aquatic emergent insects (b)
Family richness of aquatic emergent insects (c) Biomass of aquatic emergent insects (d)
Density of terrestrial arthropods falling into the stream (e) Family richness of terrestrial
arthropods entering stream (f) Biomass of terrestrial arthropods falling into the stream (g)
Net flux (density of aquatic emergent insects – density of terrestrial arthropods falling
into the stream) (h) Density of spiders of the family Tetragnathidae. Light levels not
connected by the same letter (inset boxes) are significantly different (p < 0.05). Error
bars represent + 1SE.
Figure 2.2. Responses of aquatic-terrestrial invertebrates to experimental light addition,
based on paired-t tests (August 2010 vs. August 2011) (a) Density of spiders of the
family Tetragnathidae (p = 0.035) (b) Family richness of aquatic emergent insects (p =
0.057) (c) Biomass of aquatic emergent insects (p = 0.166) (d) Density of terrestrial
arthropods entering stream (p = 0.153). Each error bar is one standard error from the
mean.
38
Low Moderate High
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Figure 2.1.
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Figure 2.2.
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42
Chapter 3: Consequences of artificial night lighting to stream-riparian invertebrate food
webs
Authors: Lars A. Meyer and S. Mažeika P. Sullivan, School of Environment & Natural
Resources, The Ohio State University, 2021 Coffey Rd., Columbus, OH 43210, USA
Corresponding author: Lars A. Meyer, School of Environment & Natural Resources,
The Ohio State University, 2021 Coffey Rd., Columbus, OH 43210, USA. Email:
meyer.541@osu.edu; Fax: (01)614-292-7342
43
Abstract
As the extent and intensity of artificial night lighting continues to increase, so do the
potential effects on multiple levels of ecological organization. However, with few
exceptions, the consequences of ecological light pollution have not been investigated. In
August 2010, we collected terrestrial ground-dwelling arthropods, riparian spiders of the
family Tetragnthidae, and aquatic emergent insects at nine Columbus, OH stream reaches
characterized by a range of artificial light levels (low 0 - 0.5 lux; moderate 0.5 - 2 lux;
high 2 - 4 lux). In July 2011, we experimentally increased light levels at the low and
moderate treatment sites to ~12 lux. We used stable isotopes of C and N to infer mean
trophic position (TP), food-chain length (FCL), and the contribution of aquatic carbon to
both aquatic and terrestrial invertebrate consumers. We found that TP and variability in
TP of the entire stream-riparian invertebrate community (χ2 = 31.71, p < 0.001) as well as
of the families Tetragnathidae (χ2 = 26.29, p < 0.001), Formicidae (χ2 = 23.23, p < 0.001),
and Chaoboridae (χ2 = 33.23, p < 0.001) were different among artificial light levels, such
that higher TP (low, 2; moderate, 3; high, 5) and variability in TP (low, 1.25; moderate,
1.5; high, 3) were associated with greater light levels (Tukey’s HSD, p < 0.05).
Similarly, FCL (low, 5.65; moderate, 5.17; high, 10.55) was greater at high light levels.
The experimental addition of light resulted in a 3-fold increase in FCL. Artificial light
also was related to the contribution of aquatic carbon (vs. terrestrial C) at both the
invertebrate community and family levels, whereby the contribution of aquatic C was
reduced at moderate ELP and increased at high ELP. Our collective results are among
the first to show the impacts of artificial night lighting on ecosystem-level responses.
44
Key words: aquatic carbon, food-chain length, food web structure, ecological light
pollution, stream-riparian invertebrate trophic linkages.
45
Introduction
Artificial night lighting (e.g., roadway, security lighting) has dramatically increased over
the last 60 years (Smith 2009, Hölker 2010). Because cities produce the majority of
artificial light, predictions of burgeoning urban populations suggest substantial increases
in artificial night lighting. For example, by the year 2050, 72% of the world’s population
and 90% of North Americans are likely to be urban (U.N. 2011). Only recently have the
ecological implications of ecological light pollution (ELP, sensu Longcore and Rich
2004) been seriously considered (Hölker et al. 2011), with implications for terrestrial and
aquatic taxa at both individual and population levels (Longcore and Rich 2004, Kyba
2011b). For example, in aquatic systems, artificial light has been shown to affect
hatching and development of freshwater fish (Bruening et al., 2011); predation efficiency
of riparian bats (Kuiper et al. 2008) and wading birds (Santos 2010); and migratory
patterns of zooplankton (Moore et al. 2000), freshwater shrimp, (Daphnia, Gal et al.,
1999), and aquatic emergent insects (Ali and Lord 1980).
The rich taxonomic diversity of aquatic insects can have a wide variety of
consequences to aquatic-to-terrestrial energy flows, as many species emerge from
streams as adults and disperse to forage, find mates, and reproduce (Merritt et al. 2008).
Conversely, riparian invertebrates entering streams can be critical to aquatic consumers
(Nakano 1999, Kawaguchi and Nakano 2001). Thus, reciprocal invertebrate prey
linkages between aquatic and terrestrial environments are critical to cross-boundary food
webs (Baxter et al. 2005, Paetzold et al. 2005). Indeed, declines in the diversity of
aquatic emergent insects can prompt not only reductions in abundance and diversity of
46
riparian predatory spiders, but also diet shifts to less preferred terrestrial prey (Kennedy
and Turner 2011). Sanzone et al. (2007) found that orb-weaving spiders living along the
stream edge obtained 100% of their carbon and 39% of their nitrogen from in-stream
sources whereas ground dwelling hunting spiders obtained 68% of their carbon and 25%
of their nitrogen from in-stream sources in a Sonoran desert stream-riparian ecosystem.
Evidence is mounting that anthropogenically-altered environmental factors can
have serious consequences on the structure of linked aquatic-terrestrial food webs
(Williamson et al., 2008). For instance, Bendix (1997) found that human-mediated flood
disturbances were associated with changes in the distribution and diversity of riparian
spiders and Gücker et al. (2011) showed that alterations of stream hydrology affected
ecosystem function by changing fluxes of organic matter between the riparia and stream.
Nonnative and invasive species also can mediate aquatic-terrestrial trophic linkages.
Baxter et al. (2004), for example, showed that the invasion of nonnative rainbow trout
(Oncorhynchus mykiss) out competed native Dolly Varden charr (Salvelinus malma) for
terrestrial arthropods that fell into the stream from riparian vegetation in a northern Japan
stream. In turn, Dolly Varden shifted their foraging to benthic invertebrate grazers,
which indirectly increased algal biomass and decreased biomass of adult aquatic insects
emerging from the stream, leading to a 65% decrease in tetragnathid spider (horizontal
orb-weavers whose diet consists mainly of adult aquatic insects) density. Artificial light
might be expected to exert equally strong influences on stream foods webs. For example,
Meyer and Sullivan (Chapter 2) found that ELP was associated with concurrent declines
in (1) the density of terrestrial arthropods entering the stream and (2) aquatic emergent
47
insect family richness and biomass. Together, these results indicate not only a shift in
invertebrate community structure, but also a greater reliance on aquatic food sources by
invertebrate consumers at high light levels.
Stable isotope analysis is becoming an increasingly valuable tool in ecological
studies (see Thompson et al. 2005), allowing increased investigation of trophic and diet
studies and, therefore, is of particular use in describing aquatic-terrestrial food webs
(Collier et al. 2002, Hicks et al. 2005). In particular, a common goal of this research is to
identify the relative contribution of terrestrial leaf litter (hereafter ‘detritus’) and aquatic
benthic algae (hereafter ‘periphyton’) to consumers (using δ13C; Finlay 2001, Walters et
al. 2007) and to estimate trophic position (TP) and food-chain length (FCL) (using δ15N;
Phillips and Gregg 2001, Post 2002, Walters and Post 2008). For example, Post (2000)
used a stable isotope approach to demonstrate that FCL increases with functional
diversity of food webs, and stated the addition of intermediate predators or dietary
specialization due to an increase in abundance of preferred prey was likely responsible
for the increase.
The objective of the present study was to investigate the influence of ELP on the
trophic dynamics of stream-riparian invertebrate food webs. At a suite of urban streams
in Columbus, OH, USA, we investigated the influence of artificial night lighting on
linked stream-riparian invertebrate food-web structure, FCL, and the relative contribution
of aquatic vs. terrestrial carbon sources to riparian invertebrate predators. We anticipated
that increases in ELP would lead to: (1) longer FCL of the invertebrate community, (2)
greater variability in trophic position (VTP) of aquatic and terrestrial invertebrate
48
predators (i.e., spiders, ants, aquatic dipterans), and (3) shifts towards a greater reliance
on aquatic C by invertebrate consumers.
Methods
In June 2010, we surveyed potential study reaches within the Slate Run subcatchment of
the Scioto River basin, located within the Columbus, OH Metropolitan Area (CMA). We
recorded ambient light (i.e., ELP) during a moonless night or night with a homogenous
moon-concealing cloud cover using a handheld photometer (Ex-Tech Model #403125).
We measured a minimum of three light (lux) measurements at the top, middle, and
bottom of each 30-m reach with the light meter ~1m above the water’s surface and
recorded the mean lux value. From these measurements, we categorized ELP into three
levels: low (0 - 0.5 lux), moderate (0.5 - 2 lux), and high (2 - 4 lux), which represent ELP
levels commonly found in canopied urban streams of the CMA. The ambient light levels
at the low ELP sites represented the lowest light levels in the study system and served as
our control reaches. Optic density of canopy cover over the stream channel of each study
reach was estimated using a GRP handheld densitometer (Kelly and Krueger 2005,
Progar and Moldenke 2008). We made canopy density measurements longitudinally
along each stream bank and down the center of the stream channel for the top, middle,
and bottom of each study reach. Of the candidate reaches, we selected nine study
reaches, (Appendix A) three reaches of each ELP light level, that represented minimal
variability in riparian (adjacent land use, buffer width, vegetation) and stream
49
physicochemical (e.g., water quality, substrate, geomorphology) characteristics
(Appendix B).
At each study reach, we collected aquatic emergent insects, ground-dwelling
riparian arthropods, and horizontal orb web weaving spiders of the family Tetragnathidae
in mid-August, 2010. For aquatic emergent insects, we used floating Mundie-style
emergence traps (Mundie 1964). We anchored three 1-m2 traps to the stream bed: one
each towards the top, middle, and bottom of each study reach and located to represent the
dominant flow-habitats of the reach (typically a riffle, pool, and a run). For terrestrial
arthropods, we hand collected ground-dwelling arthropods (i.e., ants, spiders, millipedes,
beetles) within 3m of the stream edge and Tetragnathidae within 1m of the stream edge to
a height of 2m (Akamatsu and Toda 2007). Subsequently, we sorted and identified all
samples to family using Coovert (2005), Fisher and Cover (2007), Triplehorn and
Johnson (2005), Merritt and Cummins (1996), and Ubick and Paquin (2005) as guides.
We then enumerated all invertebrates by family.
Terrestrial leaf litter (to represent stream detritus) was collected from the water’s
surface using floating pan traps placed under the overhanging vegetation within the
stream channel, three 0.25-m2 traps: one each towards the top, middle, and bottom of
each study reach. Detrital leaf litter was rinsed in the laboratory with deionized water to
remove invertebrates and other debris. Periphyton (i.e., epilithic algae primarily
composed of diatoms) was collected from each study reach by brushing a minimum of 10
cobbles from riffle habitats within each reach (~ 0.2m depth). Debris and invertebrates
were removed from the periphyton samples in the laboratory.
50
In August 2011, we added artificial lighting at sites categorized as low and
moderate ELP levels in 2010. We lost access to one of the moderate sites and were left
with five experimental reaches (n = 5). We did not include a true control set of sites (i.e.,
no light addition) in 2011 for the following reasons: (1) Benthic invertebrate data (2009-
2011) from stream monitoring efforts in the same study stream indicated minimal inter-
annual variability in community composition (Sullivan, unpublished data), (2) All
experimental stream reaches were located in close proximity to one another within the
same stream system, thus any environmental changes between years would presumably
have had similar effects on all sites, and (3) flow, precipitation, and temperature were
comparable for the 2010 and 2011 sampling periods (Appendix I).
In the beginning of July 2011, we hung strings of battery-operated white LED
lights (broad spectrum) to the foliage overhanging the stream channel to approximate
light levels up to 12 lux as measured 1m above the stream surface. Lights were wired
into clusters to create ‘pockets’ of diffuse light to simulate infiltration of ELP from
artificial sources (e.g., street lights, yard security lights). The light clusters were
continuously lighted until sampling was complete (Appendix H). During mid-August,
we collected aquatic emergent insects and terrestrial arthropods following the previously
described protocols.
For stable isotope analysis, we selected families of aquatic emergent insects and
terrestrial arthropods based on representative feeding guilds (e.g., predators, omnivores,
grazers, detritivores) as well as numerical dominance and ubiquity across the study
reaches. Tetragnathid spiders were also prepared for stable isotope analysis. All
51
invertebrate samples were oven dried at 55°C for ~48 hours, homogenized using a ball
mill grinder (for larger samples) or a stainless steel mortar and pestle (for smaller
samples), and packed in tin capsules. Tissue from multiple individuals of each
taxonomic group was used to form a single composite sample and to minimize within-site
variance (Lancaster and Waldron 2001). All samples were analyzed for C and N using
elemental analysis isotope ratio mass spectrometry (EA-IRMS) at the University of
Washington Stable Isotope Core (Pullman, WA USA). Stable isotope results are reported
in δ notation:
δX (‰) = (Rsample/Rstandard -1) × 1000
where X is 13C or 15N and R is13C/12C or 15N/14N and values are expressed relative to N2
(atmospheric air) for nitrogen and Vienna Pee Dee Belemite for carbon. Typical
analytical precision was 0.08‰ for δ15N and 0.19‰ for δ13C determination.
Numerical and statistical analysis
We estimated trophic position of aquatic emergent insects, ground-dwelling arthropods,
and tetragnathid spiders using the equation reported in Post (2002):
Trophic position = λ + (δ15Nsc – [δ15Nbase1 × α + δ15Nbase2 × (1-α)]) / Δn
where α is an estimate of nitrogen derived from autochthonous sources = (δ13Csc –
δ13Cbase2) / (δ13Cbase1 – δ13Cbase2), sc = secondary consumer (e.g., tetragnathid spiders,
ants, aquatic emergent insects), base1 = periphyton collected from stream substrate, base2
= detrital leaf litter collected from water surface, λ = trophic position of periphyton and
detrital leaf litter, n = number of primary food sources (i.e., 2), and Δn = isotopic
52
enrichment value for each trophic level. In our study catchment, periphyton is the major
contributing autochthonous primary producer and detrital leaf litter is the primary
allochthonous energy source (n = 2). We corrected prey isotope values for trophic
enrichment using widely-accepted values of 1 and 3.4‰ for δ13C and δ15N, respectively
(Post 2002). We calculated FCL of the aquatic invertebrate community, terrestrial
invertebrate community, and whole stream-riparian invertebrate community as trophic
positionmax – trophic positionmin. We used the standard deviation of trophic position to
represent VTP.
We used general linear models (GLMs) to test for the influence of ELP on TP and
the contribution of aquatic C to consumers for (1) the whole stream-riparian invertebrate
community; (2) the terrestrial invertebrate community; (3) the aquatic insect community;
and (4) Tetragnathidae (common riparian predator), Formicidae (common terrestrial
consumer), and Chaoboridae (common aquatic consumer). We included canopy cover as
a covariate in the GLMs as the influence of canopy cover on aquatic insects and
terrestrial arthropods is well known (Progar and Moldenke 2009, Riley et al. 2009). In all
GLMs, ‘reach’ (nested within ‘ELP’) was included as a random variable. ‘ELP’ was
included as a fixed variable for all models; ‘canopy’ was included as a covariate for TP
and contribution of aquatic C models.
Canopy was excluded as a covariate in models where degrees of freedom were lost when
evaluating FCL (i.e., range of TP) to avoid pseudoreplication affects.
Where statistically significant main effects were detected, linear contrasts were run
between ELP levels.
53
We used regression analysis to explore potential relationships between δ13C of
periphyton and 13C of Formicidae , Chaoboridae, and Tetragnathidae. We used paired t-
tests to test for differences in TP and contribution of aquatic C between August 2010
(pre-experimental light addition) and August 2011 (post light addition). Given multiple
GLM ‘tests’, the Bonferroni adjustment for α was α /k = 0.05/12 = 0.004, where k is the
number of tests/treatments (Wright 1992). An α of 0.05 was used for all other tests. All
statistical analyses were performed using JMP 9.0 Statistical Discovery Software (SAS
Institute, Inc., Cary, NC).
Results
Isotopic signatures of aquatic emergent insects were highly variable across the
invertebrate community, with δ15N values ranging from 4.08 ̶ 9.6‰, 2.02 ̶ 9.93‰, and
4.35 ̶ 12.69‰ at low, moderate, and high ELP sites, respectively. The δ13C values
ranged from -28.72 – -15.01‰, -27.61‰ ̶ -15.10‰, and -29.27‰ ̶ -15.04‰ at low,
moderate, and high ELP sites, respectively (Table 2).
Food web structure suggested shifts among low, moderate, and high light levels.
For instance, we noted the absence of Hydroptilidae, Heptaginidae, Empididae at high
ELP sites. Tetraganthidae, Formicidae, and Chaoboridae exhibited a trend towards
increasing 15N enrichment at higher light levels (Figure 3.1). FCL for the entire stream-
riparian invertebrate community ranged from 4.1 to 9.7. We observed greater FCL in the
terrestrial community, with Tetragnathidae typically occupying the highest trophic
position irrespective of light level.
54
GLMs indicated that TP and the contribution of aquatic C to consumers was
significantly different among ELP levels for multiple invertebrate descriptors (Table 3.3).
We found community-wide trophic position increased with an increase in ELP (χ2 =
31.71, p < 0.001). Linear contrasts showed that TP at high ELP (5.27) was different than
at low (1.88) and moderate (3.34) ELP sites (Figures 3.2a, 3.2b; p < 0.05). At the family
level, Tetragnathidae exhibited a ~4 TP increase from low to high ELP sites (Figure
3.2c); Formicidae, a ~3.5 TP increase (Figure 3.2d); and Chaoboridae a ~4.25 TP
increase (Figure 3.2e).
The contribution of aquatic C to invertebrate consumers was significantly
different across light levels (Table 3.3), where the greatest contribution of aquatic C
tended to be at high light levels (p < 0.05, Figure 3.3). For the invertebrate community
(Figure 3.3a), this pattern appeared largely driven by a few key taxa (Figure 3.3c, 3.3d,
3.3e).
The influence of ‘Site’ was also significant in many GLMs, although this was
largely constrained to whole community and family-level measures. Stream canopy was
not a significant factor for the majority of models, although it was significant for the
contribution of aquatic C to Tetragnathidae (χ2 = 3.72, p < 0.001; Table 3.3).
For the entire stream-riparian invertebrate community, VTP increased with high ELP,
whereby VTP at low (1.28) and moderate (1.56) ELP sites were different than at high
ELP sites (3.06) (Figure 3.4a, 3.4b). At the family level, Tetragnathidae, Formicidae, and
Chaoboridae exhibited increases in VTP at high ELP. We observed a similar pattern for
55
community-wide FCL (χ2 = 21.94, p = 0.003), where FCL at low (5.65) and moderate
(5.17) ELP sites was different than at high ELP sites (10.55; Figure 3.5a, 3.5b).
Responses to the experimental addition of light were variable (Table 3.4). We
observed an overall decrease in community-wide TP of ~1 at the experimental reaches
(t = -1.94, p = 0.062; Figure 3.6a); the pattern was largely driven by the aquatic
invertebrate community (Figure 3.6b). The terrestrial predator Tetragnathidae (t = -
0.694, p = 0.263) decreased by ~0.5 TP (Figure 3.6c), the terrestrial consumer
Formicidae (t = - 1.25, p = 0.156) decreased by ~1 TP (Figure 3.6d), and the aquatic
emergent insect Ceratopoginidae (t = - 1.49, p = 0.106) decreased by ~1 TP (Figure
3.6e). VTP increased by ~0.5 and FCL increased by 3 (Figure 3.6f). We found no
difference in the contribution of aquatic C with the increase of light to ~12 lux (Figure
3.6g).
Discussion
Previous research has shown that ELP affects multiple biotic characteristics at the
individual and population levels (i.e., migration, predator-prey relationships, mating
success; Longcore and Rich 2004, Eisenbeis and Hänel 2009, Kyba 2011), but less is
known relative to the potential impacts of ELP on community- and ecosystem-level
processes (but see Moore et al. 2000, Davies 2012). In small urban streams, we found
that ELP was associated with higher TP as well as greater VTP of linked stream-riparian
invertebrate communities. Initial evidence also indicated that the contribution of aquatic
C to invertebrate consumers was greater at sites characterized by higher levels of ELP.
56
An experimental addition of light resulted in a community-wide decrease in FCL,
confirming similar observational results and indicating that even short-term (~30-40
days) exposure to high artificial light levels may be consequential to stream ecosystem
function.
Trophic structure
Biotic interactions between adjacent ecosystems via reciprocal resource fluxes are
common (Polis et al. 1992, Baxter et al. 2005, Marczak et al. 2007) and can
fundamentally alter food-web structure (Paetzold 2006, Burdon and Harding 2008). For
example, Wesner (2010) showed that seasonal differences of aquatic emergent insects
can alter the trophic structure of riparian invertebrate food webs by changing the
proportion of aquatic prey subsidy vs. in situ prey in riparian invertebrate communities.
Our results indicate that the effects of ELP on stream-riparian trophic structure are
profound. In the current study, we observed increased enrichment of δ15N in the aquatic-
terrestrial invertebrate community at sites with higher ELP, whereby the magnitude of
δ15N aquatic insect enrichment was greater than the magnitude of δ15N terrestrial insect
enrichment (Figure 3.1) (but note that this result was not supported by the experimental
addition of light, Figure 3.6). Supporting this observation and consistent with our
hypotheses, we also found that TP of the aquatic-terrestrial invertebrate community was
greater at higher ELP levels (Figure 3.2a, 3.2b).
Altered community structure is likely driving changes in trophic structure and
position. In a companion study in the same study system, we found increased terrestrial
57
arthropod family richness and density, increased aquatic-to-terrestrial flux, and increased
Tetragnathidae density associated with higher ELP levels (Meyer and Sullivan, Chapter
2). Davies et al. (2012) found that ground-dwelling terrestrial invertebrate community
structure was affected by proximity to street lighting, such that communities closest to
stream lights were dominated by more predatory and scavenging individuals. Changes in
community structure as a consequence to artificial lighting have also been observed in
bats, whereby increased food concentrations of insects attracted to light sources is
advantageous to faster-flying species (Blake et al. 1994, Rydell and Baagoe 1996).
Similarly, positive phototaxic responses by ovipositing aquatic insects drawn to the area
by artificial light may result in a more diverse aquatic invertebrate community (Horvath
2004, Kriska et al. 2009), subsequently leading to increases in trophic complexity and
higher TP of consumers. In our study, Tetragnathidae increased by ~4 TP from low to
high ELP (Figure 2c), Formicidae exihibited an increase of ~3 TP (Figure 3.2d) and
Chaoboridae an increase of ~4 TP (Figure 3.2d).
Food-chain length
Food-chain length is a fundamental property of food webs (Post 2002, Sabo et al.
2009). Although productivity and disturbance have traditionally been offered as
important determinants of food chain length, empirical evidence increasingly suggests the
strong role of ecosystem size (Post et al. 2000, Takimoto et al. 2008, Sabo et al. 2010).
The role of disturbance has also been investigated, with contrasting results. Some
investigators (Parker & Huryn 2006, Marty et al. 2009) have found a negative
58
disturbance-FCL relationship, whereas others have found disturbance to be less
influential in regulating FCL (Takimoto et al. 2008). Takimoto et al. (2012) developed
and analyzed a metacommunity model of intraguild predation (IGP) and reported that the
model found increasing basal productivity, decreasing disturbance, and increasing
ecosystem size all increase FCL when local IGP is weak. As we had expected, we found
that FCL increase (~2x) for the aquatic-terrestrial invertebrate community at high ELP
sites (Figure 3.5a, 3.5b), yet ecosystem size was constrained. Although more research
would be required to accurately estimate IGP in our study system, this may be an
important factor. For example, in situations where the IGP link is strong (e.g., predators
limiting other predators), increases in the richness of prey species would be expected to
increase, thereby leading to greater FCL (Polis 1992, Power and Dietrich 2002, Holomuzi
2010) – similar to our observations at high ELP sites. Increased functional diversity
could also contribute to greater FCL at high ELP sites (Figure 3.6a) with an additional
intermediate predator. Alternately increased abundance of preferred prey may increase
dietary specialization and reduce omnivory resulting with increased FCL (Post et al.
2000). Although our findings indicate that ELP can play a significant role in regulating
FCL, the precise mechanisms will require further investigation. It is likely that a
complex interplay between ELP and biotic interactions is important in determining FCL.
Contribution of aquatic C to invertebrate consumers
Low-order streams are traditionally thought to be fueled by terrestrial organic matter
(Vannote et al. 1980). However, a spate of recent research (Walsh et al. 2005, Meyer et
59
al. 2005, Brown et al., 2009, Davies et al. 2010) has highlighted the consequences of
urbanization to streams. For example, O’Brien (2010) has shown that urbanization can
increase instream primary productivity via a combination of shifts in light availability,
nutrient delivery and hydrology, potentially making urban streams more autotrophic than
their more natural counterparts. Others (e.g., Villanueva et al. 2010) have reported that
light levels can significantly affect the structure and function of periphyton communities,
although higher light levels do not always promote greater in-stream productivity. We
found that ELP influenced the reliance on aquatic C of both aquatic and terrestrial
invertebrate communities, such that the contribution of aquatic C was greatest to the
whole invertebrate community as well as to individual consumer families at high ELP
sites (Figure 3.3a, 3.3b). However, at moderate ELP sites, there was a decrease in
periphyton utilization by the terrestrial community as well as by Tetragnathidae,
Formicidae, and Chaoboridae.
Collectively, these findings suggest shifts in feeding strategies whereby at low
and high ELP sites, grazing dominated but that at moderate ELP sites, detritivory was
dominant. Grazing aquatic insects responding to the seasonal increase in aquatic primary
production (i.e. periphyton) might be expected to lead to an increase in secondary
production of grazing aquatic insects, thereby increasing the contribution of aquatic C to
tetragnathid spider and other riparian consumers. Sabo and Power (2002), for example,
experimentally reduced aquatic emergent insect prey and observed concomitant decreases
in terrestrial predator abundance (i.e., lizards) The separation of δ13C between the riparian
predators and aquatic emergent insects was much lower in the moderate ELP (0.36‰
60
δ13C) as compared to the low ELP (2.50‰ δ13C) and high ELP (1.83 ‰δ13C), further
indicating that benthic algivory was replaced by detritovory at moderate ELP sites, in
spite of comparable riparian vegetation. An experimental study conducted by Bishop
(1969) showed an artificial light threshold of (0.1 – 1 lux) suppressed benthic insect (i.e.,
Ephemerella, Stenonema, Phasganophora) activity (as measured by aquatic insects in the
drift) where Limnephilidae showed an indifference to light. Bishop (1969) also described
a severe reduction (54%) in the density of invertebrate herbivores at the artificial light
treatment due to predation. While predator-prey relationships were likely at play in our
study, additional research will be required to identify the exact mechanisms. However, if
benthic detritivores do indeed replace grazers at moderate light levels, decreases in the
contribution of aquatic C to consumers would likely propagate throughout the system,
and likewise for grazers at low and light level sites.
In the experimental component of the study, we observed no difference in the
contribution to aquatic C to invertebrates with the addition of artificial light. This may
indicate that any predatory advantage may be suppressed by a much greater risk of
predation (e.g., by fish). Community-level feeding strategy is known to respond not only
to season (Miyasaka and Genkai-Kato 2010), but also to subtle changes in environmental
conditions (i.e., stream bed microhabitat, ambient light related to stream canopy), thus the
difference in the contribution of aquatic C among ELP treatments may also be a
consequence of shifts in microhabitat preferences by benthic grazing arthropods driven
by changes in ambient light levels.
61
Wesner (2010) showed that seasonal differences of aquatic emergent insects can
alter the trophic structure of riparian invertebrate food webs by changing the proportion
of aquatic prey subsidy vs. in situ prey in riparian invertebrate communities. The effects
of ELP on stream-riparian trophic linkage have implications for further disruption of
aquatic-terrestrial net energy flux. Potential mechanisms driving this response may be a
positive phototaxic response by ovipositing aquatic insects drawn to the area by artificial
light, providing a potentially more diverse community. Grazing aquatic insects
responding to the seasonal increase in aquatic primary production (i.e., periphyton) leads
to an increase in secondary production of grazing aquatic insects. Thereby, increases the
contribution of aquatic C to tetragnathid spider and other riparian consumers. Sabo and
Power (2002), for example, experimentally reduced aquatic emergent insect prey and
observed concomitant decreases in terrestrial predator abundance (i.e., lizards). Although
the results were not conclusive, our experimental light addition indicated that both
aquatic and terrestrial invertebrate communities responded with an increased reliance on
aquatic C. As light addition was over a short time period (~45 days), this suggests this
response occurs over the longer time scale related to insect productive cycles and
community diversity.
Conclusions
Our study provides evidence that ELP alters food-web complexity by increasing trophic
position, variability in trophic position, and FCL of stream-riparian invertebrate
communities. In general, we found stronger associations between artificial lighting and
62
the aquatic insect community. We also observed a shift in the contribution of aquatic vs.
terrestrial C to invertebrate consumers among light levels. Collectively, these results are
among the first evidence to point to ecosystem-level responses to artificial night lighting.
Globally, there remain few areas that are not affected by skyglow (i.e.,
brightening of the natural sky beyond background levels), as even wild areas such
national parks are in close proximity to urban areas (Albers and Duriscoe 2001) and
artificial night lighting may be increasing by around 6% per year (Hölker et al 2010).
The implications of this research are therefore broad, providing initial evidence that both
ecosystem structure and function may be significantly altered across large spatial scales.
Currently, information on environmental consequences of ecological light pollution is not
adequate for the potential scope and scale of the problem. Within urban settings, the
effects of artificial night lighting appear to be particularly severe, and our results indicate
that efforts to reduce both short-term and permanent ambient lighting should be
incorporated into management and conservation of urban stream systems. Looking
forward, we suggest that future research address the impacts of artificial night lighting at
broader spatial and temporal scales and across a range of ecosystems.
Acknowledgements
We extend our thanks to B. Gunther, L. Rieck, P. Tagwireyi, and Xiaoxue Yang for their
assistance in the laboratory and the field. This research was funded by The Ohio State
University and MacIntyre Stennis funds.
63
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Table 3.1. Physical characteristics for urban stream reaches in the Columbus
Metropolitan Area, arranged by ecological light pollution (ELP) level. Riparian buffer
width for all reaches was >10m. Canopy % refers to the mean tree canopy cover over the
stream during August 2010. D50 is the median sediment size (mm).
ELP level Conductivity Dissolved Alkilinity Substrate Bankfull Canopy %(ms/cm2) Oxygen (%) pH (D50) Width (m)
High 0.616 87 8.63 64.0 8.5 55High 0.894 82 8.43 16.0 5.0 89High 0.928 84 8.41 32.0 4.5 56Moderate 0.650 95 8.60 45.0 8.0 90Moderate 0.675 90 8.34 16.0 9.0 77Moderate 0.665 90 8.35 32.0 8.0 79Low 0.655 87 8.37 32.0 10.0 90Low 0.662 90 8.49 22.6 7.5 94Low 0.664 91 8.34 45.0 10.0 91
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Table 3.2. Summary statistics for trophic descriptors of numerically-dominant
invertebrates at stream reaches in the Columbus Metropolitan Area arranged by
ecological light pollution (ELP) level (high: 2-4 lux, moderate: 0.5-2 lux, low: 0- 0.5
lux). Trophic position is relative level within the food chain, calculated following Post
(2002). Contribution of aquatic C is the percentage of consumer tissue originating from
stream primary productivity (i.e., periphyton).
Trophic position Contribution of aquatic C(%) δ13 C δ15N Taxanomic group Mean SD Mean SD Mean SD Mean SD
Aquatic communityPeriphyton
Low 1.09 0.66 100 0 -19.18 3.65 7.53 0.40Moderate 1.00 0.00 100 0 -17.08 1.81 7.91 0.95High 2.69 1.93 100 46 -17.85 2.12 6.20 1.36
BaetidaeLow 4.74 * 0 * -28.57 * 9.60 *Moderate 4.81 0.45 11 3 -26.91 0.27 9.05 0.74High 7.31 1.92 18 26 -27.01 2.95 9.38 0.66
ChaoboridaeLow 2.19 0.72 40 23 -25.33 1.43 7.26 0.70Moderate 3.12 0.07 42 2 -23.60 0.23 8.23 0.07High 6.52 2.70 69 49 -23.99 0.54 8.86 1.75
HydropsychidaeLow 3.57 0.64 13 21 -27.71 1.44 8.17 0.66Moderate 4.69 0.23 18 10 -26.23 0.97 8.34 0.62High 7.70 3.86 21 3 -26.24 0.13 10.18 0.23
ChironomidaeLow 2.47 0.58 43 14 -24.75 0.43 7.90 0.54Moderate 4.05 0.82 31 9 -24.75 0.88 8.70 0.62High 8.74 1.63 75 35 -24.11 0.91 10.42 3.22
Terrtestrial communityDetrital leaf litter
Low 1.03 0.02 0 0 -28.44 0.24 0.04 0.35High 1.98 0.88 0 0 -28.71 0.66 1.63 1.02Moderate 1.00 0.00 0 0 -28.10 0.24 0.61 0.30
FormicidaeLow 0.59 0.05 42 14 -24.05 0.81 1.71 1.11Moderate 2.09 0.54 29 4 -24.81 0.52 4.19 0.88High 3.99 1.72 53 30 -24.71 0.54 5.66 1.27
OniscusLow 0.26 0.29 58 19 -23.02 0.96 1.50 2.96Moderate 2.70 47 * -23.57 * 5.43 *High 1.85 0.20 55 19 -25.07 1.65 3.22 0.51
TetraganthidaeLow 2.82 0.46 27 18 -26.07 0.23 9.17 0.58Moderate 5.14 0.62 13 2 -26.66 0.18 9.79 0.30High 7.68 2.43 49 31 -25.18 1.26 10.27 0.42
71
Table 3.3. General linear models of aquatic-terrestrial responses to ecological light
pollution (ELP). Light levels are: high: 2 – 4 lux, moderate: 0.5 – 2 lux, low: 0 – 0.5 lux.
Canopy is an estimate of tree canopy coverage (%) over the stream channel. Whole
community includes both aquatic and terrestrial invertebrates. Trophic position is
relative level within the food chain. Contribution of aquatic C is the percentage of
consumer tissue originating from stream primary productivity (i.e., periphyton). p <
0.004 indicates significance after Bonferroni adjustment.
Model df χ2 p Model df χ2 pWhole community Tetragnathidae
Trophic position Trophic positionLight 2 31.71 <0.001 Light 2 26.29 < 0.001
Site(light) 6 33.78 <0.001 Light(site) 6 25.66 < 0.001Canopy 1 0.23 0.632 Canopy 1 7.71 0.006
Contribution of aquatic C Contribution of aquatic CLight 2 15.32 <0.001 Light 2 32.13 < 0.001
Light(site) 6 18.31 <0.001 Light(site) 6 35.66 < 0.001Canopy 1 0.56 0.455 Canopy 1 3.72 0.054
Aquatic community FormicidaeTrophic position Trophic position
Light 2 4.69 0.096 Light 2 23.23 < 0.001Light(site) 6 6.60 0.354 Light(site) 6 18.13 0.003
Canopy 1 0.62 0.431 Canopy 1 0.28 0.593Contribution of aquatic C Contribution of aquatic C
Light 2 8.75 0.017 Light 2 29.64 < 0.001Light(site) 6 7.96 0.242 Light(site) 6 45.51 < 0.001
Canopy 1 0.36 0.549 Canopy 1 0.01 0.972Terrestrial community Chaoboridae
Trophic position Trophic positionLight 2 9.48 0.008 Light 2 33.23 < 0.001
Light(site) 6 9.12 0.167 Light(site) 6 29.37 < 0.001Canopy 1 0.60 0.437 Canopy 1 1.47 0.225
Contribution of aquatic C Contribution of aquatic CLight 2 4.68 0.098 Light 2 16.00 < 0.001
Light(site) 6 6.61 0.354 Light(site) 6 29.49 < 0.001Canopy 1 0.61 0.431 Canopy 1 2.91 0.088
72
Table 3.4. Trophic responses of aquatic-terrestrial invertebrate community to
experimental light addition. Contribution of aquatic C is the percentage of consumer
tissue originating from stream primary productivity (i.e., periphyton). Mean trophic
position (TP) is relative level within the food chain, calculated following Post (2002).
Food-chain length (FCL) is the (trophic position max – trophic positionmin). Variability of
trophic position (VTP) is SD of trophic position.
Trophic response Year Direction Magnitude
Contribution of aquatic C (%) 57 increaseMean trophic position 1.7 decreaseFood-chain length 7.4 increaseVariability of trophic 1.7 increaseposition
2010 201119
0.841.870.13
382.575.561.52
73
Figure 3.1. Dual isotope plots of periphyton, detritus, and aquatic
and terrestrial invertebrate consumers for: (a) highlight sites, (b) moderate light sites,
(c) high light sites, and (d) sites with experimental addition of light. Values are mean
δ13C and δ15N (‰ ± 1SE).
Figure 3.2. Trophic position (± 1SE) by ELP level (low 0 - 0.5 lux; moderate 0.5 - 2 lux;
high 2 - 4 lux) of (a) the whole stream-riparian invertebrate community, (b) aquatic and
terrestrial invertebrate communities (separately), dark grey bars indicate aquatic
community and light grey bars indicate terrestrial community (c) Tetragnathidae, (c)
Formicidae, and (d) Chaoboridae. Letters (X) over each bar represent linear contrasts,
whereby different letters represent significant differences between mean trophic values (p
< 0.05). Xaq is aquatic emergent insect community, Xter is terrestrial invertebrate
community.
Figure 3.3. Contribution of aquatic carbon (± 1SE) by ELP level (low 0 - 0.5 lux;
moderate 0.5 - 2 lux; high 2 - 4 lux) of (a) the whole stream-riparian invertebrate
community, (b) aquatic and terrestrial invertebrate communities (separately), dark grey
bars indicate aquatic community and light grey bars indicate terrestrial community (c)
Tetragnathidae, (c) Formicidae, and (d) Chaoboridae. Letters (X) over each bar represent
linear contrasts, whereby different letters represent significant differences between mean
trophic values (p < 0.05). Xaq is aquatic emergent insect community, Xter is terrestrial
invertebrate community.
74
Figure 3.4. Variability in trophic position by ELP of (a) the whole stream riparian
invertebrate community (b) aquatic and terrestrial invertebrate communities (separately),
dark grey bars indicate aquatic community and light grey bars indicate terrestrial
community.
Figure 3.5. Food-chain length by ELP level of (a) the whole stream-riparian invertebrate
community, (b) aquatic and terrestrial invertebrate communities (separately), dark grey
bars indicate aquatic community and light grey bars indicate terrestrial community.
Figure 3.6. Mean trophic position response for experimental addition of lights (±1SE):
(a) whole stream-riparian invertebrate community (b) aquatic and terrestrial invertebrate
communities (separately) (c) Tetragnathidae, (d) Formicidae , and (e) Ceratopoginidae.
* represent significant differences based on paired t-tests (p < 0.05).
75
Baetidae Chaoboridae
Chironomidae
Formicidae
Hydropsychidae
Leaf litter
Periphyton
Oniscus
Tetragnathidae
-2.00
0.00
2.00
4.00
6.00
8.00
10.00
12.00
14.00
-31.00 -29.00 -27.00 -25.00 -23.00 -21.00 -19.00 -17.00 -15.00
δ15 N
δ13C
Baetidae
Chaoboridae
Chironomidae
Formicidae
Hydropshychidae
Leaf litter
Periphyton
Oniscus
Tetragnathidae
-2.00
0.00
2.00
4.00
6.00
8.00
10.00
12.00
14.00
-31.00 -29.00 -27.00 -25.00 -23.00 -21.00 -19.00 -17.00
δ15 N
δ13C
(b)
(a) High ELP
Moderate ELP
76
Figure 3.1.
Baetidae
Chaoboridae
Chironomidae
Formicidae
Hydropsychidae
Leaf litter
Periphyton
Oniscus
Tetragnathidae
-2.00
0.00
2.00
4.00
6.00
8.00
10.00
12.00
14.00
-31.00 -29.00 -27.00 -25.00 -23.00 -21.00 -19.00 -17.00
δ15 N
δ 13C
Baetidae
Chaoboridae
Chironomidae
Formicidae
Hydropsychidae
Leaf litter Oniscus,
Periphyton
Tetragnathidae
-2.00
0.00
2.00
4.00
6.00
8.00
10.00
12.00
14.00
-31.00 -29.00 -27.00 -25.00 -23.00 -21.00 -19.00 -17.00 -15.00
δ15 N
δ13C
(c)
(d)
Low ELP
Experimental light addition
77
0
1
2
3
4
5
6
0
1
2
3
4
5
6
7
8
0
1
2
3
4
5
6
7
8
9
A
B
C
Trop
hic
posi
tion
Tetra
gant
hada
e
A
B
C
(a)
(c)
Trop
hic
posi
tion
Aqu
atic
(dar
k) &
Ter
rest
rial (
light
) In
verte
brat
e C
omm
uniti
es
Aaq
Ater
Baq
Bter
Caq
Cter
(b)
Low Moderate High
Trop
hic
posi
tion
W
hole
Com
mun
ity
78
Figure 3.2.
0
1
2
3
4
5
0
1
2
3
4
5
6
7
8
9
Trop
hic
posi
tion
Cha
obor
idae
(e)
A
B
C (d)
Trop
hic
posi
tion
Form
icid
ae
Low Moderate High
79
0%
10
20
30
40
50
60
70
0%
10
20
30
40
50
60
70
80
90
0%
10
20
30
40
50
60
Con
tribu
tion
of a
quat
ic C
A
quat
ic (d
ark)
&Te
rres
trial
(lig
ht)
Com
mun
ity
(a)
Aaq Ater
Bter
Ater
Baq
Aaq
Con
tribu
tion
of a
quat
ic C
W
hole
Com
mun
ity
(b)
A
A
B
(c)
Con
tribu
tion
of a
quat
ic C
Te
tragn
athi
dae
A
B
C
Low Moderate High
80
Figure 3.3.
0%
10
20
30
40
50
60
70
0%
10
20
30
40
50
60
70
80
Con
tribu
tion
of a
quat
ic C
C
haob
orid
ae
(d)
Con
tribu
tion
of a
quat
ic C
Fo
rmic
idae
A
B
C
A
B
A
Low Moderate High
(e)
81
Figure 3.4.
0
0.5
1
1.5
2
2.5
3
0
0.5
1
1.5
2
2.5
3
(a) V
aria
bilit
y of
trop
hic
posi
tion
Aqu
atic
(dar
k) &
Ter
rest
rial (
light
) In
verte
brat
e C
omm
uniti
es
Var
iabi
lity
of tr
ophi
c po
sitio
n W
hole
Com
mun
ity
(b)
Low Moderate High
82
Figure 3.5.
0
1
2
3
4
5
6
7
8
9
10
11
12
0
1
2
3
4
5
6
7
8
9
10
Food
-cha
in le
ngth
W
hole
Com
mun
ity
(a)
(b)
Food
-cha
in le
ngth
A
q. (d
ark)
& T
er. (
light
) In
verte
brat
e C
omm
uniti
es
Low Moderate High
A A
B
Aaq Ater Aaq Ater
Baq Bter
83
0
0.5
1
1.5
2
2.5
3
3.5
2010 2011
0
0.5
1
1.5
2
2.5
3
3.5
4
0
1
2
3
4
5
2010 2011
0
0.5
1
1.5
2
2010 2011
(c)
Trop
hic
posi
tion
Tetra
gnat
hida
e
(a)
(b)
(d)
Trop
hic
posi
tion
Who
le C
omm
unity
Trop
hic
posi
tion
Aq.
(dar
k)&
Ter.(
light
) In
vert.
Com
mun
ities
Trop
hic
posi
tion
Form
icid
ae
84
Figure 3.6.
0
0.5
1
1.5
2
2.5
3
3.5
4
2010 2011
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
2010 2011
0%
10
20
30
40
50
(e)
Trop
hic
posi
tion
Cer
atop
ogin
idae
Con
tribu
tion
of A
quat
ic C
A
q. (d
ark)
& T
er. (
light
) C
omm
unity
2010 2011
VTP
W
hole
Com
mun
ity (f)
(g)
85
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Appendix A: Study reaches in the Slate Run sub-catchment of the Scioto River
Nine ecological light pollution (ELP) study reaches in the Slate Run sub-catchment of the
Scioto River, Columbus Metropolitan Area, Columbus, OH.
95
Appendix B: Stream characteristics for study reaches in the Columbus
Metropolitan Area
Stream characteristics for study reaches in the Columbus Metropolitan Area. % Canopy
refers to the mean annual tree canopy cover over the stream. D50 is the median sediment
size (mm). Riparian buffer width for all reaches
was >10m.
Light Level Canopy Bankfull Width Substrate pH Conductivity(%) (m) (D50) (microseimens cm-2)
Low 49 7.5 22.6 8.71 8512Low 46 8 45 8.78 7814Low 51 5 16 8.85 7984Moderate 48 10 32 8.79 8123Moderate 31 8.5 64 8.79 8162Moderate 29 4.5 32 8.88 7914High 46 9 16 9.18 8271High 51 10 45 9.41 10883High 50 8 32 9.07 10016
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Appendix C: Insect families captured in emergence traps
Insect families captured in emergence traps. Three nematoceran families of Diptera
(Chironomidae, Chaoboridae, Ceratopoginidae) were the most numerically common
aquatic insect families collectively comprising 85% of total emergent abundance across
all study reaches. Note that some families are semi-aquatic and aquatic parasitoids.
Insect family Study reaches Insect family Study reachesfound (%) found (%)
Asilidae 78 Hydrophilidae 22Baetidae 55 Hydropsychidae 89Braconidae 78 Hydroptilidae 67Cecidomyidae 100 Ichneumonidae 89Ceratopogonidae 100 Lepidostomatidae 11Chaoboridae 100 Microsporidae 11Chironomidae 100 Mycetophilidae 100Coenagrionidae 100 Mymaridae 44Culicidae 67 Perlidae 33Dolichopodidae 100 Phoridae 56Dryomyzidae 89 Pipunculidae 11Elmidae 11 Pteromalidae 22Empididae 89 Rhoganidae 22Ephemeridae 67 Scathophagidae 100Flatidae 11 Scelionidae 44Gerridae 89 Simuliidae 89Heptageniidae 22 Trigonalyidae 11Homoptera 100
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Appendix D: Terrestrial arthropod families captured in pan traps Terrestrial arthropod families captured in pan traps. The majority of riparian arthropods
came from families in the orders Diptera (23), Coleoptera (18), Arachnida (16), and
Hymenoptera (9). On the whole, riparian invertebrate communities displayed greater
evenness compared to aquatic emergent insects.
Arthropod family Study reaches Arthropod family Study reaches Arthropod family Study reachesfound (%) found % found (%)
Anobiidae 22 Eriocraniiodae 11 Pseudocaeciliidae 11Anyphaenidae 67 Eucinetidae 33 Psocidae 100Apidae 44 Eucnemidae 11 Psychodidae 100Araneidae 89 Eulophidae 33 Psychodomorpha 11Blephariceridae 11 Forficulidae 56 Ptermalidae 33Bombyliidae 44 Formicidae 100 Ptiliidae 11Buprestidae 22 Gelastocoridae 11 Pyralidae 56Byrridae 11 Gelechiidae 11 Pyrochroidae 11Calliphoridae 11 Gnaphosidae 44 Rhinotermitidae 11Canicidae 44 Hilarimorphidae 11 Rutelinae 11Caponiidae 56 Labiidae 11 Saldidae 67Chrysomelidae 11 Lampyridae 11 Scatophagidae 100Clubionidae 11 Limnephilidae 11 Sciaridae 11Corethrellidae 11 Lucinidae 11 Sciomyzoidae 22Corinnidae 11 Melandryidae 67 Scirtidae 11Corydalidae 33 Meropeidae 11 Sialidae 11Curculionoidae 56 Milichiidae 11 Staphylinidae 78Cybaeidae 78 Mordellidae 11 Stratiomyidae 22Diapriidae 11 Mymaridae 44 Syrphidae 67Dipluridae 11 Nymphalidae 11 Tenthredinidae 33Dipsocoridae 22 Ochteridae 11 Tephritidae 11Dixidae 11 Olethreutidae 11 Tetragnathidae 100Drosophilidae 11 Palpatore 67 Thaumaleidae 33Dysderidae 44 Phlaeothripidae 11 Trichoceridae 11Dytiscidae 22 Pholcidae 33 Velidae 33Ephydridae 56 Phoridae 56
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Appendix E: Summary statistics of invertebrate descriptors
Summary statistics of invertebrate descriptors for study reaches in the Columbus
Metropolitan Area arranged by ecological light pollution level (high: 2-4 lux, moderate:
0.5-2 lux, low: 0- 0.5 lux). Terrestrial arthropods refer to terrestrial insects and spiders
entering the stream. Net flux = aquatic emergent insect density – terrestrial arthropod
density (i.e., positive numbers indicate aquatic-to-terrestrial flux > terrestrial-to-aquatic
flux).
June August October December February AprilInvertebrate Descriptor Mean SD Mean SD Mean SD Mean SD Mean SD Mean SD
Aquatic emergent insect density (# m-2)High 183.4 133.4 273.8 235.6 23.4 29.0 0.0 0.0 0.0 0.0 21.1 24.8Mod 184.9 63.5 155.8 114.5 116.1 37.6 0.0 0.0 0.0 0.0 18.0 15.5Low 174.7 87.7 124.6 140.8 17.4 10.8 0.0 0.0 0.0 0.0 28.8 19.7
Aquatic emergent insect biomass (mg m-2)High 12.7 7.7 20.6 13.8 10.6 8.9 0.0 0.0 0.0 0.0 9.0 12.3Mod 21.6 13.0 23.2 26.7 3.2 4.3 0.0 0.0 0.0 0.0 13.3 14.4Low 22.1 16.3 22.9 20.9 6.4 7.2 0.0 0.0 0.0 0.0 12.4 16.2
Aquatic emergent insect family richness (# m-2)High 9.8 2.4 9.1 2.9 3.8 3.7 0.0 0.0 0.0 0.0 4.2 3.5Mod 9.9 1.9 9.3 1.8 8.0 0.9 0.0 0.0 0.0 0.0 5.0 1.2Low 10.0 1.6 8.4 3.9 3.6 1.7 0.0 0.0 0.0 0.0 4.3 0.7
Terrestrial arthropod density (# m-2)High 418.3 288.0 79.9 74.9 61.7 39.8 4.0 7.1 7.1 8.3 165.0 119.2Mod 124.0 42.2 34.2 20.9 175.8 97.2 1.3 3.6 1.3 3.6 97.2 112.4Low 137.2 86.9 32.6 20.1 228.3 255.4 1.1 3.4 0.0 0.0 115.8 54.1
Terrestrial arthropod biomass (mg m-2)High 25.0 14.1 8.4 12.4 7.5 12.6 0.1 0.4 4.6 13.2 0.9 1.3Mod 15.5 12.0 2.3 1.8 3.9 3.7 0.0 0.1 0.1 0.2 4.5 4.7Low 15.7 8.8 5.6 4.0 6.5 9.2 0.0 0.1 0.0 0.0 1.0 1.4
Terrestrial arthropod family richnessHigh 14.4 5.9 5.0 3.5 4.5 3.6 0.4 0.7 0.6 0.8 5.5 2.2Mod 8.8 2.4 2.9 1.7 7.0 3.1 0.1 0.4 0.1 0.4 4.2 3.1Low 8.8 4.7 2.6 1.1 6.3 4.1 0.1 0.3 0.0 0.0 5.8 2.2
Net flux (# m-2)High -9.6 222.8 220.2 239.0 -1.8 30.3 -3.0 6.8 -7.1 8.3 -23.0 52.5Mod 91.2 74.1 139.5 105.6 57.0 42.0 -1.3 3.6 -1.3 3.6 -3.5 16.0Low 75.6 110.5 110.1 140.9 -134.9 206.5 -1.1 3.4 0.0 0.0 -13.1 32.2
Tetragnathid spider density (# reach -1)High 19.0 15.0 31.9 18.1 16.6 12.2 0.0 0.0 0.0 0.0 0.6 1.1Mod 39.9 19.2 45.1 14.3 23.4 12.0 0.0 0.0 0.0 0.0 0.9 1.0Low 36.6 16.2 36.4 10.2 20.0 8.9 0.0 0.0 0.0 0.0 1.0 0.9
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Appendix F: (Figure 4.1) Synthesis of the effects of ELP on stream-riparian invertebrate fluxes.
100
Appendix G: Mundie-style emergent trap and floating pan trap deployment
Mundie-style emergent trap and floating pan trap deployment in stream reaches in (a)
summer and (b) winter at study sites in urban streams of the Columbus Metropolitan
Area, Ohio.
(a)
(b)
101
Appendix H: Experimental light deployment design
Light deployment for experimental light addition in July-August 2011. (a) Image of LED
cluster assembly deployment in stream reach. (b) Image of illuminated LED clusters at
night. (c) Schematic diagram of light deployment over stream channel. Broad spectrum
white LED light strings were rewired and assembled into clusters to provide ‘diffuse
pockets’ of light of differing intensity, secured to wooden and wire frames, then
suspended from 5/8” braided nylon rope. The light cluster assemblies were secured to
the foliage overhanging the stream channel to increase artificial light levels. Lights were
placed in a fashion to replicate the irregular pattern of ambient light normally found in
the stream. Light strings were deployed one month prior to sampling and energized
continuously until sampling was complete.
102
(a) (b)
(c)
Stream channel (bankfull width)
Riparian area
Riparian area
103
Appendix I: Meteorological data for the Columbus Metropolitan Area, 2010 - 2011
Precipitation and climate data for Columbus Metropolitan study area from 15 July – 30
August 2010 and 15 July – 30 August 2010 showing comparable conditions for 2010 and
2011.
2010 2011Max temperature (°C) 30 28Mean temperature (°C) 24 23Min temperature (°C) 19 17Growing degree days 33 30Number of rain days 9 11Average precipitation (cm) 0.28 0.20Maximum precipitation (cm) 2.30 2.00
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