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Master's Project – ENV690
Experimenting with Modified Extruded Seed Pellets for Large Scale
Mine Rehabilitation
An example experimental plot at BHP's Mt Whaleback mine. Image: E. Stock
Emma Stock
BSc (Env Science/Env Restoration), Grad Cert Environmental Assessment & Management.
Environmental and Conservation Sciences
College of Science, Health, Engineering and Education
June 2019
Supervisors: Dr Rachel Standish, Dr Todd Erickson, Dr Miriam Muñoz-Rojas, Prof Richard Bell
This document is referenced according to Restoration Ecology journal format
i
Declaration
I declare that this thesis is my own account of my research,
with acknowledgement of external contributions,
and contains as its main content, work which has not been previously
submitted for a degree at any tertiary education institution.
Emma Stock
ii
Acknowledgements
I would like to thank my team of supervisors: Dr Rachel Standish, Dr Todd Erickson, Dr Miriam
Muñoz-Rojas and Prof Richard Bell for their generous and helpful advice, constant encouragement,
timely feedback and practical support in the field in extreme temperatures. Thanks also to the
Environment and Rehabilitation teams at BHP Mt Whaleback iron ore mine for providing permission,
logistical support, transport, and even isotonic icypoles while I conducted this experiment.
Thank you to the science team at Kings Park Botanic Garden for technical assistance and conducting
laboratory testing, and to the Ramaciotti Centre for Genomics at University of New South Wales for
conducting DNA sequencing. Cheers to fellow students Monte Masarei and Amber Bateman for
discussions and entertainment in the field. Thanks also to the wonderful staff at the Newman
Recreation Centre for my daily de-stress workout and to all the friends who encouraged me as I
navigated the steep curve of learning to use R software.
This research was conducted as part of the Global Innovation Linkages project grant (GIL53873)
titled “Eco-engineering solutions to improve mine-site rehabilitation outcomes” funded by the
Department of Industry, Innovation and Science. Logistical support was also funded by Rosemary
Grigg and Peter Flanigan.
In memory of Larry the Triodia seedling.
iii
Abstract
Current methods of mine rehabilitation have a high failure rate at the seedling emergence stage due
to the limited availability of topsoil and the low water holding capacity of alternative growth media
such as waste materials and tailings. Extruded seed pellets, formed by extruding soil mixtures and
seeds into pellets, can potentially increase soil water availability through enhanced soil-seed contact
and improve seedling emergence in arid systems. I tested a modified extruded seed pelleting
method in a three-factor field experiment in a purpose-built mine rehabilitation research facility in
the Pilbara region of northwest Western Australia. The aims of the experiment were to assess (i)
native seedling emergence and establishment from modified extruded seed pellets and; ii) the
physico-chemical and microbiological changes that occur with seedling emergence from pellets. I
tested three native plant species and the experimental factors were pellet soil mixtures, with or
without Triodia pungens biomass as an organic amendment and rainfall regimes. Results suggests
trade-offs among responses. Pellets made with a 50:50 blend of topsoil and waste material had the
highest seedling emergence, while 100 % topsoil pellets had lower emergence probably because of
hardsetting. Triodia pungens survived to the end of the experiment but Indigofera monophylla and
Acacia inaequilatera did not. Adding Triodia biomass amendment inhibited Triodia seedling
emergence but increased soil microbial activity and could therefore stimulate recovery of soil
function. Pellets preserved seed viability and topsoil microbial communities during the growing
season and therefore show potential as a means to inoculate rehabilitation sites with both seeds and
microbes. Overall, modified extruded 50:50 seed pellets show promise for rehabilitation of keystone
species Triodia and beneficially, make use of ‘waste’ material. Further research is needed to improve
pelleting methodology for other species, and to test the applicability of the method at scale, in this
and other arid land ecosystems.
iv
Table of Contents
Declaration ............................................................................................................................................... i
Acknowledgements ................................................................................................................................. ii
Abstract .................................................................................................................................................. iii
List of Figures .......................................................................................................................................... v
List of Tables ........................................................................................................................................... v
1. Introduction ........................................................................................................................................ 1
2. Materials and methods ....................................................................................................................... 4
2.1 Experimental design ...................................................................................................................... 4
2.2. Pellet preparation ........................................................................................................................ 5
2.3 Plot preparation ............................................................................................................................ 6
2.4 Rainfall simulation......................................................................................................................... 8
2.5 Soil analyses .................................................................................................................................. 9
2.6 Plant growth analysis .................................................................................................................. 10
2.7 Statistical analysis ....................................................................................................................... 10
3. Results ............................................................................................................................................... 11
3.1 Seedling emergence. ................................................................................................................... 11
3.2 Seedling survival.......................................................................................................................... 16
3.3 Plant aboveground biomass........................................................................................................ 16
3.4 Soil analysis. ................................................................................................................................ 17
4. Discussion .......................................................................................................................................... 20
4.1 Modified extruded seed pellets for arid land restoration. ......................................................... 20
4.2. Rainfall and pellet type effects on seedling emergence. ........................................................... 23
4.3. Rainfall and pellet type effects on seedling survival. ................................................................. 24
4.4 Microbial activity and community composition ......................................................................... 25
4.5. Implications for large-scale mine rehabilitation. ....................................................................... 25
Conclusion ............................................................................................................................................. 27
Literature Cited ..................................................................................................................................... 28
Appendix ............................................................................................................................................... 34
v
List of Figures
Figure 1: Drydown curve for soil pellets……………………………………………………………………………………………. 6
Figure 2: Experimental design…………………………………………………………………………………………………………… 6
Figure 3: One completed experimental quadrat………………………………………………………………………………… 7
Figure 4: Boxplot showing thickness of pellets………………………………………………………………………………….. 8
Figure 5: Seedling emergence and survival……………………………………………………………………………………… 13
Figure 6: First round and total emergence………………………………………………………………………………………. 14
Figure 7: First round and total survival……………………………………………………………………………………………. 16
Figure 8: Total aboveground biomass……………………………………………………………………………………………… 17
Figure 9: Soil physico-chemical nMDS ordinal matrix………………………………………….………………………….. 17
Figure 10: Microbial activity within pellets……………………………………………………………………………………… 18
Figure 11: Relative abundance of soil microbial communities…………………………………………………………. 19
Figure 12: Soil microbial group nMDS ordinal matrix………………………………………………………………………. 19
Figure 13: Pellet responses to wetting and drying cycles…………………………………………………………………. 22
List of Tables
Table 1: Effect of rainfall amount and pellet type on first round and cumulative emergence………….. 16
Table 2: Effect of rainfall amount and pellet type on first round and total survival of Triodia…………. 16
Table 3: Summary of experimental results………………………………………………………………………………………. 20
Table 4: Physico-chemical properties of soils………………………………………………………………………………….. 33
1
1. Introduction
Successful mine rehabilitation requires the design and construction of safe and stable landforms and
the establishment of functional and self-sustaining ecosystems to meet the desired post-operational
land use (Australian Government, 2016). Rehabilitation is therefore an essential post-mining activity
that requires companies to plan, develop, and execute effective landform reconstruction, soil
management, and planting techniques to achieve certain regulatory criteria aligned with positive
ecosystem recovery. Delivered correctly, successful rehabilitation ensures the mining industry’s
ongoing social and environmental licence to operate (Australian Government, 2016). In Australia,
few examples exist of mine rehabilitation that has reached regulator-approved completion metrics
(Lamb et al., 2015; Commonwealth of Australia, 2019), particularly in arid systems where plant
establishment is challenged (Shackelford et al., 2018). This lack of rehabilitation capacity jeopardises
the economic viability of the mining industry as well as the biodiversity and sustainability of the
impacted ecosystems (Cross et al., 2017; Stevens & Dixon, 2017).
The arid Pilbara region of north-west Western Australia, a resource-rich area covering approximately
179,000 km2 (McKenzie et al, 2009), is subject to intensive mining, with a cumulative footprint
comprising at least 3,000 km2 of mined and disturbed land requiring rehabilitation (EPA, 2017).
Although human activity has led to the region being characterised as a biodiversity hotspot (Pepper
et al., 2013; Department of Environment & Energy, 2019), development continues to accelerate
(EPA, 2018). At this scale, there is a critical need to develop cost-effective, repeatable and large-scale
methods to restore functional landscapes and preserve biodiversity (Kildisheva et al., 2016; Muñoz-
Rojas et al., 2017b). Yet, rehabilitation performance still lags behind the need for rehabilitation at
scale. For instance, a recent synthesis of Pilbara mine rehabilitation showed that most sites lack
comparable plant cover, density and species diversity values when compared to un-disturbed
reference plant communities (Shackelford et al., 2018).
Mine rehabilitation in the Pilbara is constrained by multiple abiotic and biotic barriers. Moisture
availability is the primary limitation, with highly variable rainfall associated with unpredictable
thunderstorms and cyclones, and evaporation that exceeds annual rainfall by up to 10-fold across
the region (Charles et al., 2015). Native plant recruitment in such arid environments is spatially and
temporally irregular, with a high degree of climate sensitivity (Audet et al., 2013; Svejcar &
Kildisheva, 2017). Episodic precipitation events in arid ecosystems also control various physico-
chemical and biological soil processes (Schwinning & Sala 2004). For instance, pulses of biological soil
activity, and therefore nutrient cycling, are often limited to periods of high soil moisture conditions
(Austin et al., 2004; Ford et al., 2007; Collins et al., 2008; McIntyre et al., 2009).
2
Plant regeneration is further constrained by Australian native seed recruitment physiology which has
evolved complex inherent seed dormancy mechanisms that limit germination, (Lamb et al., 2015;
Erickson et al., 2017) and wild seed production is variable within and between seasons (Ritchie et al.,
2017). Wild-sourced seeds are expensive and the quantities required to cover the affected
disturbance area exceed the capacity of natural seed production and collection (Broadhurst et al.,
2015; Nevill et al., 2016). Therefore, ways to maximise the efficient and responsible use of native
seed resources is required and will also generate cost savings (Merrit & Dixon, 2011; Golos et al.,
2019; Pérez et al., 2019).
One of the biggest challenges in mine rehabilitation is to restore soil function in reconstructed soil
profiles (Muñoz-Rojas et al., 2016a; Cross et al., 2018). Intensive mining activity leaves behind large
amounts of degraded soils and growth media, such as waste materials and tailings, which have
altered properties that are hostile for seedling development: in particular, low organic matter and
nutrients, reduced water holding capacity and low microbial activity (Jasper et al., 1988; Muñoz-
Rojas et al., 2016a; Lamoureux et al., 2016; Bateman et al., 2018). In these altered soils, the
establishment of native plant species can be extremely difficult, with a potential consequential shift
in ecosystem function or loss of biodiversity (Muñoz-Rojas, 2017b; Williams et al., 2017). A
multidisciplinary science-based approach is therefore needed to fill essential knowledge gaps that
can improve seed and growth media management practices and deliver benefits to large-scale mine
rehabilitation programs (Erickson et al., 2017; Miller et al., 2017).
The current best practice method of rehabilitation is to cover re-profiled waste material with
stockpiled topsoil (initially salvaged from the top 10-20cm of the pre-disturbed soil profile), but
topsoil quantities are limited and quality declines over the duration of stockpiling (Cooke &
Johnston, 2002; Golos et al., 2016; Merino-Martin et al., 2017a). The use of waste materials from
mining operations as an alternative growth media is an option, but these substrates may require soil
amendments or accelerated weathering to facilitate the development of pedogenic processes
(Muñoz-Rojas et al., 2016b; Kumaresan et al., 2017; Kneller et al., 2018). Inorganic soil amendments
such as gypsum and urea have been trialled but results vary and can be expensive and impractical at
scale (Bateman et al., 2019). Further, organic amendments including compost, mulch and sewage
have been shown to increase water holding capacity and soil microbial activity (Bastida et al., 2008;
Beningo et al., 2013; You et al., 2016; Kneller et al., 2018), but are also difficult to apply across large
areas.
The native perennial grass genus Triodia, or spinifex, is an underused biomass resource with
beneficial material properties which are being investigated for a range of purposes (Gamage et al,
3
2012; Pennells et al., 2018). Triodia biomass is being explored as an organic soil amendment as the
plants are commonly available across aridlands, and sustainable harvesting can be considered as an
alternative to burning for management (Gamage et al., 2014). Experiments show that incorporating
Triodia biomass can increase microbial activity and C mineralisation in mine wastes (Kneller et al.,
2018).
The use of soil microbial inoculum as a potential scalable restoration tool has been investigated
(Bowker, 2007). Soil microbial communities are critical to the functioning of terrestrial ecosystems
and it is increasingly recognised that the manipulation of these communities for restoration can
enhance the rate of recovery after disturbance (Rawls et al., 2003; Harris, 2009; Bardgett & van der
Putten, 2014; Bastida et al., 2015; Wubs et al., 2016; Kumaresan et al., 2017; Bastida et al., 2017).
The inoculation of rehabilitation sites with soil microorganisms such as cyanobacteria, a phylum of
poikilohydric organisms that can potentially restore soil functionality, is a recent avenue of research
(Bowker, 2007; Williams et al., 2017; Muñoz-Rojas et al., 2018a; Muñoz-Rojas et al., 2018b; Román
et al., 2018). Due to the importance of interplay between biotic and abiotic factors in soil
functionality, restoration strategies need to re-establish both plant communities and soil health
(Kildisheva at al., 2016; Kneller et al., 2018)
One promising approach to improving success in seed based restoration programs is the application
of engineering solutions incorporating seed enhancement technologies combined with precision
delivery methods (Kildesheva et al., 2016; Brown et al., 2018; Nevill et al., 2018; Madsen et al.,
2018). Seed coating technologies are commonly used in the agricultural industry and may improve
cost effectiveness in the rehabilitation arena by reducing seed wastage (Madsen et al., 2016a;
Pedrini et al., 2017; Turner et al., 2006). Another technique is to make extruded pellets containing
seeds mixed with beneficial soil materials and amendments which help the seedlings through the
emergence phase. Such seed enhancement technologies with increased matrix material can improve
seed-soil contact and provide more favourable soil water potentials, which are conducive for
seedling survival and enhanced mineralisation through greater microbial activity (Davies et al., 2018;
Lewandrowski, 2017a; Madsen et al., 2016b). Using this approach, seeds are incorporated into
pellets that are formed by squeezing dough-like soil mixtures through modified food processing
equipment. However, early ex-situ seed pelleting trials incorporating treated seeds (i.e. to alleviate
innate seed dormancy) found that Triodia species (a critical keystone grass in arid ecosystems) failed
to germinate. This failure was attributed to the mechanical pressure of the extrusion process
reimposing physiological dormancy (Erickson, pers. comm. July 2018). A novel modified extruded
seed pelleting method, analogous to seed pelleting but with less pressure, was proposed to reduce
4
extrusion pressure on the sensitive seeds and therefore alleviate dormancy and related recruitment
issues.
Here, I tested modified extruded seed pelleting in a plot scale experiment as a method of re-
establishing target native plant species and soil microbial processes in the Pilbara region of
northwest Western Australia. The specific objectives of the experiment were to assess (i) native
seedling emergence and establishment from modified extruded seed pellets (ii) the effect of adding
Triodia amendment on the germination and establishment of selected native plant species in
reconstructed mine waste soils and (iii) the physico-chemical and microbiological changes that occur
with seedling emergence from pellets. The implications of my results for achieving scalability in
aridland mine rehabilitation are also discussed.
2. Materials and methods
2.1 Experimental design
A three-factor field experiment was conducted within a purpose-built rehabilitation research facility
at BHP’s Mt Whaleback iron ore mine, near Newman in the Pilbara, Western Australia (-23°21'55.30"
S, 119°40'31.4" E). The facility comprises a rain out shelter covering 64 irrigated, raised beds (400 cm
× 200 cm × 25 cm) filled with five different reconstructed soils sourced from post-mining materials.
These raised beds, hereafter ‘plots’, have been designed to allow the evaluation of seedling
emergence and growth under a range of soil treatments and rainfall conditions to simulate field
settings in mine site rehabilitation (Erickson et al., 2017). Three common native plant species utilised
in Pilbara rehabilitation programs were tested. Triodia pungens, a soft-leaved spinifex, is a keystone
species commonly occurring on the moister downslopes of arid environments and cued to germinate
following fire and periods of high precipitation (Lewandrowski et al., 2017b). Additionally, two
legumes, Acacia inaequilatera and Indigofera monophylla, were selected in part for their reliable
establishment in field conditions.
The experimental design included three fixed factors: soil blend (two levels), organic amendment
(two levels) and rainfall regime (two levels). Specifically, modified extruded pellets were made from
two different soil blends, with or without the addition of an organic soil amendment in the form of
dried T. pungens leaf material, and exposed to two rainfall regimes. Fully factorial treatment
combinations were replicated nine times across six plots (n = 2 × 2 × 2 × 9 × 6 = 216 experimental
units in total). The two soil blends were 100 % stockpiled topsoil (TS) and a 50:50 % blend of
stockpiled topsoil and waste material (TS/WM). The experiment ran for 16 weeks over the summer
season, from October 2018 to February 2019, to coincide with both the optimum germination
5
temperature range for selected species, at around 20 – 35 oC (Erickson et al., 2016a; Erickson et al.,
2016b) and when native plants usually recruit (i.e., after summer rainfall). The facility is open on all
sides and so air and soil temperatures in the facility approximated outside temperatures.
2.2. Pellet preparation
Seeds were sourced from either Bushland Native Seeds Supply (Australind, WA) or Nindethana Seed
Service (Albany, WA) in October 2010 for Acacia inaequilatera, September 2014 for Indigofera
monophylla, and March 2015 for Triodia pungens. Seeds were stored at constant temperature and
relative humidity (i.e., 15–20 °C, 30–50 % relative humidity), between their collection and pellet
preparation. Prior to pelleting, T. pungens seeds were removed from the floret to overcome floret-
imposed physiological dormancy (after Erickson et al., 2016a). The two legume species were treated
with hot (90 °C) water for 1–2 minutes to break dormancy (after Erickson et al., 2016b). Seed
germination on water agar after 28 days at constant 25 °C was 86 % ± 2.6 % for T. pungens, 31 % ±
1.9 % for I. monophylla and 69 % ± 1.0 % for A. inaequilatera. A standard mix of 40 T. pungens, 15 I.
monophylla and 10 A. inaequilatera seeds was included in each pellet.
Each pellet was prepared separately to maintain consistency in moisture content and seed
quantities. Soil blend quantities were determined through preliminary experimentation to replicate
a roughly circular ‘cow pat’ shape with a target thickness of 5–10 mm to match a suitable
germination and emergence depth for T. pungens seeds (Erickson et al., 2017). The soils used to
make the extruded pellets were sourced from stockpiled topsoil (TS) or waste material (WM) and
sieved to obtain a < 5 mm fraction for use. Soil was weighed and hand mixed with water to obtain a
slurry consistency. TS pellets contained 101 g of soil and 33 g of water, whereas TS/WM pellets
contained 109 g of soil and 28 g of water. Triodia leaf material was air dried for six weeks and cut
into approximately 5 mm pieces; 0.4 g was added to each pellet. This amount of material
approximated that of the amounts of organic material in topsoil, but then halved to reduce the
priming effect (sensu Kneller et al., 2018) following the principle of minimum effective dosage
(Hueso-González et al., 2018). For ease of reporting, pellet types are labelled with their acronym i.e.,
TS (100% topsoil), TS+TB (100% topsoil with Triodia biomass amendment), TS/WM (50% topsoil
blended with 50% waste material) and TS/WM+TB (as previous with amendment added).
The pellets were air dried for approximately 48 h prior to watering. To ensure that pellets dried
rapidly enough to prevent imbibition and germination prior to experimental watering (i.e., a ‘false
start’), I first tracked pellet weights over time in a preliminary pilot study to obtain a dry-down curve.
Results indicated that pellets were dry within 6 h of extrusion, which is shorter than the time when
6
seed imbibition reaches its maximum at between 8 h and 48 h (Erickson et al., 2016c) (Figure 1).
Thus, experimental pellets likely dried in time to prevent a false start.
Figure 1. Dry-down curve for freshly constructed soil pellets (n=3).
2.3 Plot preparation
The experiment utilised six 4 m × 2 m (8 m2) plots of a uniform waste material (WM) substrate
interspersed throughout the facility. Refer to appendix for soil properties of WM. Three 1 m × 2 m
quadrats were evenly spaced across each plot, and twelve modified extruded pellets were placed
within each quadrat; three pellets each of the four pellet types. To minimize the frequency of
manufacturing errors, pellets were clustered by soil blend type, which was randomised across each
quadrat (Figures 2 and 3).
7
Figure 2. Experimental design showing example 4 m × 2 m plot containing substrate waste material soil with three 1 m x 2
m (2 m2) quadrats spaced evenly across the plot. Each quadrat contained twelve pellets; three each of four different pellet
types. To minimize manufacturing errors, pellets were clustered by soil blend type, which was randomised within each
quadrat. Experimental units are individual pellets (i.e. n = 216).
Figure 3. One completed experimental quadrat.
Pellets were delivered via hand extrusion from a 60 ml Terumo syringe (Terumo Corporation,
Philippines) with the end removed to create a 30 mm opening. Soil blends containing 100 % TS were
extruded from a height of 60 cm and those containing a 50:50 % blend of TS/WM were extruded
from 40 cm. The drop heights were determined experimentally as a trade-off between mixture
fluidity, obtaining the desired surface coverage and thickness, the constraints of retaining the
integrity of pellets on impact and the projected operational requirements of large-scale machine
delivery in the future. Pellet thickness was subsampled by measuring the vertical and horizontal
diameter of pellets in the centre quadrat of each plot (Figure 4) indicating that there was a
significant difference in thickness between pellets of the two soil types and there was a small
increase in thickness induced by the addition of Triodia biomass.
8
Figure 4. Boxplots (minimum, first quartile, median, third quartile and maximum, n=18) showing thickness of pellets as a
function of pellet type. There was a difference between the topsoil (Pellets 1 & 2) and the blend (Pellets 3 & 4) and a small
increase in thickness introduced by the Triodia biomass (Pellets 2 & 4).
2.4 Rainfall simulation.
Three plots were randomly allocated one of two rainfall regimes to facilitate seed germination and
seedling growth. Rainfall was simulated via Hunter MP1000 Rotator sprinkler heads applied at 10
mm/h (Hunter Industries, San Marcos, CA, USA). Water was sourced from groundwater pumped
from an active mine pit, with indicative water quality parameters of pH 8.1 and EC 1100 µS/cm.
Rainfall amounts of 120 mm and 60 mm were delivered to mimic large rainfall events typical of the
Pilbara wet season (Bureau of Meteorology, 2019), with the duration of simulated rainfall selected
to maximise soil water potentials and therefore the envelope for germination and emergence (after
Lewandrowski et al., 2017a). Adjacent plots were paired and irrigation was applied alternately in 2 ×
15 mm or 2 × 7.5 mm events every second day for 7 d to achieve the rainfall totals (i.e. 4 × 30 mm
over three plots and 4 × 15 mm over three plots). Follow-up rainfall pulses of 10 mm were
subsequently applied across all plots fortnightly to mimic the soil wetting and drying cycles of
sporadic wet season rainfall (Bureau of Meteorology, 2019). A second large rainfall event was
simulated during the 11th week of the trial, consisting of 60 mm applied across all plots in the same
manner as the first event. Volumetric soil water content (EC-5 ECH2O Dielectric Aquameter;
DecagonDevices Inc.) and soil temperature were recorded in two of the plots with Hobo® RX-3000
remote data logger stations (Onset Computer Corporation, Bourne, MA, USA).
9
2.5 Soil analyses
A bulked soil sample of 1 kg was taken from the top 5 cm of each of the six plots and the TS, WM and
the 50:50 blend (TS/WM) prior to the field experiment. Samples were air dried, sieved < 2 mm and
divided into two subsamples; one to characterise physico-chemical properties and the other stored
at 4 oC pending analysis of soil microbial activity. In addition, five 3 g samples were randomly taken
from each plot and three from each of the donor soils for soil microbial community composition
analysis. These samples were refrigerated for transportation to the science laboratory at Kings Park
Botanic Garden and stored at -20 oC until analysis. Qualitative observations of pellet morphology
responses were recorded at the end of the first simulated rainfall event.
On completion of the trial, a 50 g sample (sieved < 2mm) was taken from the top 1 cm of plot soil
immediately beneath selected pellets and analysed for microbial activity and microbial community
composition. Within each plot, pellets were sampled according to whether they contained surviving
plants or not and soil type (n=8 per plot). The starting quadrat for each plot was randomly selected,
and the with/without plant samples were deliberately paired in space to reduce the contribution of
spatial (soil) heterogeneity to the difference between them. Subsequent samples were taken
progressively from quadrats from left to right. The pellets themselves were also collected from the
plot (P36) that was visually estimated to contain the most plant biomass.
Soil physico-chemical analyses were performed at the Chem Centre laboratory (Bentley, Western
Australia) following standard methods described in Rayment & Lyons (2011). Soil pH and electrical
conductivity (EC) were measured in 1:5 soil extract in deionised water, total organic carbon (TOC)
was estimated by loss on ignition at 500 °C and total nitrogen by the Kjeldahl method (Bremner &
Mulvaney, 1982). All other soil nutrients were determined by Mehlich Extraction (Mehlich, 1984)
followed by inductively coupled plasma-atomic emission spectroscopic (ICP-AES) analysis. Particle
size analysis was subcontracted to Microanalysis Australia and analysed by laser diffraction using a
Mastersizer 2000 (Malvern Instruments, Malvern, England).
Soil microbial activity was determined with the 1-day CO2 Solvita soil respiration test (Haney et al.,
2008). This method determines soil microbial respiration rate based on the measurement of the CO2
burst produced after moistening dry soil (Haney et al., 2008; Muñoz-Rojas et al., 2016). In brief, soils
were dried at 40 oC and 40 g of each sample were placed into 50 ml plastic beakers inside a 240 ml
glass jar. All soils were wetted by adding deionised water into the jar to achieve 50 % of water filled
pore space wetting, and a CO2 probe was inserted before incubation at 25 oC. Measurements were
taken after 24 h with a digital colour reader, a mini spectrometer specific for the Solvita test.
10
Environmental genomic DNA was isolated from 500 mg of soil using the DNeasy PowerSoil Kit
(Qiagen, Venlo, Netherlands) according to the manufacturer’s instructions. The hypervariable
regions V3-V4 of the 16S rRNA gene were targeted using the primer set 341F-785R (Klindworth et al.
2013) tailored with Illumina adaptor overhangs and amplified according to the PCR conditions
described by Nielsen et al., 2017. Amplified products were submitted to the Ramaciotti Center for
Genomics (UNSW, Australia) where they were purified before a second indexing PCR to incorporate
unique Illumina Nextera XT indexes for each sample. Sequencing was performed on an Illumina
MiSeq using a v3 Reagent Kit with a 2 x 300 bp run format.
2.6 Plant growth analysis
Plant growth was monitored over the period of the trial with emergence and survival counts
conducted weekly for two weeks after each simulated 7-day rainfall pattern, and fortnightly
thereafter. After 16 weeks, survivorship, leaf stage and total biomass were assessed. Total above
ground biomass was determined by harvesting plant shoots and oven drying at 60 °C for four days
and weighing with a five-point balance.
2.7 Statistical analysis
Soil and plant variables (seedling emergence and survival) were tested for normality and variance
homogeneity using the Shapiro-Wilk and Levene’s tests. I explored plant growth over time but
focused on emergence and end-of-experiment survival and biomass for the analyses. While the
experimental design was 3-factor, I opted to use 2-factor ANOVA per species to test differences in
plant emergence, survival, biomass and microbial activity between rainfall amount and pellet types
for ease of interpretation. Comparisons between means were performed with the Tukey’s HSD
(honestly significant difference) test (p < 0.05). Variables were transformed where necessary to
normalise data (plotted data are untransformed).
Bioinformatic analyses of soil DNA sequencing data were performed at the Ramaciotti Center for
Genomics. Data were received de-multiplexed via the Illumina cloud-computer BaseSpace and
analysed using the inbuilt 16S Metagenomics application. Briefly, this service performs quality
filtering of sequences before taxonomic classification using the ClassifyReads implementation of the
Ribosomal Database Project Classifier as per Wang et al., 2007, referencing an Illumina-curated
GreenGenes taxonomic database (16S Metagenomics BaseSpace App Guide (version 15055860 A)
performed in April 2019). Stacked bars were created based on the operational taxonomic units
(OTUs) generated and to include only the top 10 most abundant OTUs at order level.
11
Non-metric multidimensional scaling (nMDS) was used to investigate differences between soils and
microbial community data using Euclidean distance metric for soils and Bray-Curtis distance metric
for soil microbes. nMDS uses ranked distances to arrange soil types along a number of axes based on
the values for the soil properties within them. The placement of plots and number of axes in an
nMDS ordination were calculated as the solution of 50 randomisations, minimizing the final stress
between the dissimilarity in the original data matrix and that in the reduced ordination matrix
(Clarke & Gorley, 2015). A biplot, based on Pearson’s correlations, was drawn on the ordination to
display the relationship between the explanatory variables and the ordination axes, where the angle
and length of the line indicate the direction and strength of the relationship. All analyses were
performed with R statistical software version 3.5.1 (R Core Team, 2018) and Primer (Clarke & Gorley,
2015).
3. Results
3.1 Seedling emergence.
A large amount of seedlings emerged from the modified extruded seed pellets, with an overall
average of 7.3 plants per pellet (ca. 11 % emergence). However, fewer survived to the experiment
conclusion and establishment success depended on species and the timing of simulated rainfall
patterns (Figure 5). A high proportion of seeds that did not germinate in the first simulated rain
event remained viable, and then germinated and emerged after the second simulated rain event. Of
the three species, Triodia emergence was most successful with 887 seedlings (10 % of seeds) that
emerged in the first simulated rain event and 655 seedlings (8 % of remaining seeds) in the second
rain event. At the end of the experiment, 84 (9 %) and 295 (45 %) of these plants survived their
respective emergence rounds.
Indigofera was less successful than Triodia with 252 seedlings (i.e. 8 % of seeds) in the first round
and 138 seedlings (4 % of remaining seeds) in the second round. However, only one seedling from
the first round and 11 from the second round survived to the end of the experiment. While Acacia
emergence results were initially high (20 %) with 440 seedlings in the first round, the second round
produced only 10 seedlings and no Acacia plants survived the duration of the experiment.
After the first rainfall event, Indigofera seedling emergence was significantly higher (p ≤ 0.001, Table
1) under 120 mm rainfall (ranging from 1.22 ± 0.25 seedlings in TS+TB pellets to 1.78 ± 0.33
seedlings in TS/WM pellets) than under 60 mm rainfall (ranging 0.70 ± 0.18 seedlings in TS pellets to
1.00 ± 0.24 seedlings in TS/WM pellets). The difference between the 60 mm and 120 mm of
simulated rainfall, however, was not significant for the Triodia or Acacia seedlings (Figure 6, a & b).
12
There was no residual effect of the initial difference in rainfalls in the cumulative emergence results,
as all plots received a uniform amount of rainfall in the second simulated event (Table 1).
The effect of pellet type on first round emergence was significant for Triodia (p ≤ 0.001, Table 1) but
not for Indigofera or Acacia. Triodia emergence was highest in TS/WM pellets under both rainfall
regimes (6.52 ± 0.47 seedlings under 60 mm and 7.56 ± 0.48 seedlings under 120 mm) (Figure 6, a &
b). Triodia emergence was lowest in the TS+TB pellets under both rainfall regimes (1.55 ± 0.27
seedlings under 60 mm and 1.40 ± 0.25 seedlings under 120 mm). Triodia emergence under TS
pellets and TS/WM+TB pellets was not significantly different but results were lower for TS/WM+TB
pellets (3.67 ± 0.50 seedlings under 60 mm and 3.48 ±0.42 seedlings under 120 mm) than TS pellets
(4.25 ± 0.45 seedlings under 60 mm and 4.41 ± 0.55 seedlings under 120 mm). In the second round,
seedling emergence did not appear to be strongly influenced by pellet type (pers. obs.). I have not
reported these data it was wholly dependent on the number of seeds depleted by the first round
germination. Instead, I have reported first round and cumulative emergence. Cumulative emergence
results did not differ from the trend of first round emergence (Figure 6, c & d).
13
Figure 5. Seedling emergence (peaks) and survival (troughs) over the duration of the experiment (Day 1 = 2nd November 2018). Soil water content (Y2 axis) obtained from
data logger in Plot 50 and corresponds to the timing of the simulated rainfall events.
14
Figure 6. First round emergence under the two different rainfall regimes (a, b) and cumulative emergence after
the second simulated rainfall event (i.e. 60 mm) that was applied to all plots (c, 60 mm + 60 mm; d, 120 mm +
60 mm). Pellet types: TS – 100 % topsoil, TS+TB – 100 % topsoil with Triodia amendment, TS/WM – 50 % blend
of topsoil and waste material, TS/WM+TB 50 % blended soils with Triodia amendment.
15
Table 1. Effect of rainfall amount and pellet type on first round and cumulative (total) emergence. Statistical
significance levels: N/S = not significant at p = 0.05, *** = significant at p ≤0.001.
Species Factor First round emergence Cumulative emergence
F value P value F value P value
Triodia pungens Rainfall 0.11 N/S 0.87 N/S
Pellet type 53.97 *** 18.08 ***
Rainfall x Pellet type
0.40 N/S 0.66 N/S
Indigofera monophylla Rainfall 12.78 *** 0.00 N/S
Pellet type 1.31 N/S 2.37 N/S
Rainfall x Pellet type
0.07 N/S 0.53 N/S
Acacia inaequilatera Rainfall 1.37 N/S 0.83 N/S
Pellet type 0.05 N/S 0.10 N/S
Rainfall x Pellet type
0.08 N/S 0.09 N/S
Survival of Indigofera was low and no Acacia seedlings survived the duration of the trial (Figure 7) so
these results were discarded from survival analysis. The experimental factors were not significant on
the survival outcome for the first round of Triodia seedlings that emerged, which ranged from 0.15 ±
0.07 seedlings for TS/WM+TB pellets under 120 mm to 0.59 ± 0.14 seedlings for TS pellets under 120
mm. Similarly, rainfall and pellet type did not significantly influence total survival and the only
significant difference in total survival was between TS pellets (2.44 ± 0.33 seedlings) and TS/WM
pellets (1.04 ± 0.22 seedlings) under 180 mm total rainfall (p ≤ 0.05) (Table 2).
Table 2. Effect of rainfall amount and pellet type on first round and total survival of Triodia. Statistical
significance levels: N/S = not significant at p = 0.05, * = significant at p ≤ 0.05,
Factors First round survival Total survival
F value P value F value P value
Rainfall 0.2362 N/S 1.4868 N/S
Pellet type 1.8390 N/S 1.9377 N/S
Rainfall x Pellet type 0.5959 N/S 2.8129 *
16
3.2 Seedling survival.
Figure 7. First round survival under the two different rainfall regimes (a, b) and total survival after the second
simulated rainfall event (i.e. 60 mm) that was applied to all plots (c, 60 mm + 60 mm; d, 120 mm + 60 mm).
Pellet types: TS – 100 % topsoil, TS+TB – 100 % topsoil with Triodia amendment, TS/WM – 50 % blend of
topsoil and waste material, TS/WM+TB 50 % blended soils with Triodia amendment.
3.3 Plant aboveground biomass
Due to low survival of Indigofera and Acacia, above ground biomass data was pooled into a single
metric incorporating data for all three species. None of the experimental factors were significant at
p ≤ 0.05 and there was a large standard error due to a small number of large individual plants that
were evenly distributed across pellet types (Figure 8).
17
Figure 8. Total above ground biomass at the end of the experiment (n = 161, 149 of which were Triodia). Data
are mean ± SE; n = 16 to 22 per treatment combination.
3.4 Soil analysis.
Figure 9. Soil nMDS plot of plots (P41 to P53) and pellet ingredients (TS = Topsoil, WM = Waste Material) based
on Euclidean distance; stress = 0.03. Pearson correlation coefficients for biplot > 0.8. For results of individual
soil properties refer to Table 4 (Appendix). MA CO2 = Microbial Activity (CO2 –CO ppm)
18
Results for initial soil physico-chemical properties split the data into pellets and substrates along the
vertical axis (Axis 2) correlating with sand and silt (Figure 9). The horizontal axis (Axis 1) correlating
with Na, pH and clay further split the pellets into three distinct groups but also separated the plot
substrates, with P41 being different from the rest with higher clay content. The 50:50 blend pellets
were half way between TS and WM, which appeared to be favourable for Triodia emergence.
At the end of the trial, substrate soil microbial activity was slightly higher under the higher total
rainfall, but this was not significant at p ≤ 0.05. There was no significant effect detected between
pellet types or between pellets with or without plants. Pellet microbial activity was significantly
increased with the addition of Triodia biomass amendment, with 24.3 ± 4.79 mg/kg CO2-C in TS+TB
pellets and 32.4 ± 0.75 mg/kg CO2-C in TS/WM+TB pellets (Figure 10).
Figure 10. Microbial activity within pellets at the end of the trial (n = 4, 4, 4 and 2). There were insufficient
samples to analyse different rainfall regimes. Data are means ± SEs.
The pellets maintained the full microbial community that was present in the topsoil for the duration
of the trial (Figure 11). The dominant bacterial groups were Actinobacteria and Proteobacteria which
preferred the topsoil substrate. Cyanobacteria was present in the topsoil and persisted in the pellets
but was not present in the waste material. There was some evidence that Cyanobacteria (yellow,
Figure 11) was beginning to transfer to the soil underneath, as the subpellet soil was positioned
between the pellet and plot soils in the nMDS (Figure 12).
19
Figure 11. Relative abundance of soil microbial communities.
Figure 12. Soil microbial groups nMDS plot (Bray-Curtis dissimilarity matrix). Stress = 0.14.
20
4. Discussion
My experiment demonstrated proof of concept for the efficacy of modified extruded seed pellets as
a medium for establishing Triodia on a waste material blend in an arid zone. A compelling result was
that Triodia pungens emerged from the pellets and survived to the experiment conclusion. Generally
too, pellets prolonged seed persistence in the soil and preserved the range of soil microbial
communities present in topsoil, and therefore shows potential as a means to inoculate rehabilitation
sites with both seeds and microbes. The range of results suggests trade-offs among responses and
that there is no simple prescription for arid land rehabilitation (Table 3). For example, on the one
hand, Triodia biomass increased microbial activity, and on the other, it inhibited Triodia emergence.
Indigofera emergence increased under the higher rainfall regime, which suggests emergence and
perhaps also survival, were water-limited rather than being unsuited to seed pelleting. More
research is needed to confirm this interpretation.
Table 3. Summary of experimental results
Factor Response variable Response measured
Pellet type 50 % TS : 50 % WM
50 % TS : 50 % WM
100 % TS
Highest seedling emergence
Pellet stability
Hard setting
No effect on microbial activity
Amendment Microbial activity
Triodia emergence
Increased microbial activity
Suspected allelopathic effect
Species Emergence
Survival
Triodia>>>Acacia> Indigofera
Triodia>>> Indigofera>Acacia
Rainfall regime
Emergence
Survival
No effect on Triodia and Acacia
120 mm increased Indigofera
No effect on survival
4.1 Modified extruded seed pellets for arid land restoration.
Burial of seeds has been found to increase overall seedling recruitment when compared to the
common mining practice of surface sowing (Erickson et al., 2018; Golos et al., 2019). Surface
exposure is a major cause of the low seedling emergence percentages in aridland restoration
(typically less than 10%) (Merritt & Dixon, 2011; James et al., 2013; Benigno et al., 2013; Larson et
al., 2015; Merino-Martin et al., 2017b). As the seeds in my pellets were randomly mixed throughout
21
the slurry, and the pellets had a high surface to volume ratio, the location of seeds within the pellet
was critical to seedling survival. Experiments using dungpats as a seed dispersal mechanism found
that seedling survival was highest when seeds were located at the periphery and 0.5 cm from the
bottom of pats (Gokbulak, 2009). However, in my experiment many seeds that germinated on the
top or bottom of the pellet were unable to emerge successfully before the pellet became
hardsetting. In this manner, the pellet or dungpat introduces limitations to seedling recruitment,
however, it may be that on balance, seed use efficiency is increased by the percentage of seeds that
emerge from a favourable location compared to broadscale surface seeding which relies on seeds
falling into a favourable environment (Barrett-Lennard et al., 2016; Golos et al., 2019). My results
show that seed pellets can potentially provide a safe site for recruitment.
One of the main differences among pellet types was their physical behaviour as they underwent
alternate periods of wetting and drying (Emma Stock, pers. obs.). At the end of the first rain event,
the range of physical behaviours was especially evident and some had deleterious impacts on
seedlings. The pellets with 100 % topsoil (TS) developed cracks round the edge as they dried. Such
pellets were less integrated with the substrate, as seen in similar studies (Madsen et al., 2018), and
susceptible to movement or even flipping by the wind. Furthermore, up to 13 % of TS pellets were
lifted from the ground as the large-seeded Acacia inaequilatera germinated within and underneath
them (Figure 13). Conversely, almost half the surface of TS/WM pellets were ruptured as the Acacia
seeds germinated. However, the addition of WM also induced stability with up to 39 % of these
pellet types recording no movement with wetting and drying.
Processing component soils through a slurry phase during pellet manufacture appeared to produce a
hardsetting product that stayed hard for the duration of the experiment. Hardsetting soils dry to
form to an apedal mass which increases in strength as it dries. Hard-set soils remain difficult to
cultivate until the profile is rewetted (Chan, 1995; Daniells, 2012). Hardsetting was most visible for
TS pellets although all pellet types formed a persistent thick physical crust throughout the
experiment. Pellet integration with substrate soil did not occur but may have occurred in time.
Indeed, signs of integration were detected for TS pellets, particularly in plots that received higher
rainfall. The fortnightly pulsed rain events were insufficient to overcome detrimental pellet
behaviours but after the second rainfall event, cracking was reduced and pellets became better
integrated with the substrate.
Pellets have been hypothesised to improve the recruitment potential of seeds through increased
soil-seed contact and more favourable moisture conditions (Madsen et al., 2016a; Madsen et al.,
2016b; Davies et al., 2018). In this study, the results did not demonstrate any substantial
22
improvement due to the physical make-up and cracking nature of some pellet types. This
presumably may have led to reduced soil contact and a decrease in moisture retention underneath
the pellet. Madsen et al. (2018) also found that their seed 'pods' provided only moderate
enhancements in the microsite surrounding the seed as the pods disconnected with the soil surface
as they dried. Further research would be required to determine the effect of different rainfall
regimes and recommended timing of irrigation, where available, to minimize disruption to seedlings
and maximise the window of emergence for seedlings. Biochar is a potential addition that has been
trialled as an amendment for hardsetting soils, and found to reduce tensile strength and increase
field capacity (Chan et al., 2007; Gebhardt et al., 2017). Pellet consistency and thickness were other
variables not explored in this experiment that could provide additional refinements. For now, my
results suggest TS/WM pellets are worthy of further research.
The pellet type made from 50 % blend of topsoil and waste produced the highest seedling
emergence. Blended topsoil and waste substrates have been shown to be comparable to topsoil
(Muñoz-Rojas et al., 2016b; Kumaresan et al., 2017; Merino-Martin et al., 2017a; Kneller et al.,
2018), but the superiority of the soil blend over 100 % topsoil is contrary to other studies. This result
could be explained in part by improved soil hydrology, with the incorporation of waste material
increasing infiltration within the pellet; on a larger scale, rock fragments have found to create
microsites and favourable soil water conditions (Golos et al., 2019).
23
Figure 13. Photographs of some pellet responses to the wetting and drying cycle with deleterious effects:
entire pellets lifted (left) and pellets cracking and rupturing (right) by the germination of Acacia seedlings
beneath.
4.2. Rainfall and pellet type effects on seedling emergence.
Species differed significantly in response to experimental factors. Triodia emergence was equivalent
under either rainfall regime but showed susceptibility to water stress. Indigofera emergence was
favoured by the higher rainfall regime (120 mm), however Indigofera survival was limited and Acacia
failed to survive under the fortnightly 10 mm simulated follow-up rainfalls. Low establishment levels
are consistent with comparable studies highlighting that early seedling life stages are vulnerable to
soil water deficits (Barnes, 2014; Larson et al., 2015; Lewandrowski et al., 2017). Studies continue to
show that there are difficulties with the emergence and establishment stages as young seedlings do
not develop drought tolerance until they have reached a certain stage of growth (Bateman et al.,
2018; Barnes, 2014). This transition from germination to emergence has been identified as the major
bottleneck in recruitment (James et al., 2011; Lewandrowski et al., 2017). The 2018-19 Pilbara
summer season included regular and extended heatwaves with very little precipitation, so ambient
air temperatures were elevated above what would usually be associated with rainfall, and may have
24
therefore increased sensitivity and evaporation despite seedlings receiving simulated rainfall. As
Triodia pungens is cued to recruit following heightened rainfall events (Lewandrowski et al., 2017b),
which may only occur infrequently, the importance of follow up rains after the initial event
associated with germination is highlighted.
Triodia emergence was inhibited in the pellets with the addition of the Triodia biomass amendment,
an unexpected effect. As this response was specific to Triodia, the inhibition is possibly due to the
presence of resins generating an allelopathic effect. Triodia pungens resin contains compounds that
allow polymerisation, which underlies its traditional use as an adhesive (de Silva et al., 2009). The
resin has also been found to have bioactive ingredients which can protect timber from termite
attack (Amiralian et al., 2014) and it was once surmised that the distinctive ring shape formed as
adult Triodia plants age may be due to inhibitors formed from the decomposing roots of the older
plants (Willis, 2007). That said, allelopathic effects of adult Triodia pungens plants on its own
seedlings has not been previously recorded. Kneller et al., (2018) had the opportunity but did not
observe an allelopathic effect in an experiment with Triodia wiseana. As Triodia emergence
increased in amended pellet types after the second rainfall event, it is likely that any allelopathic
effect would reduce over time. More research is needed to confirm allelopathic effects of Triodia
plant residues and their implications for recruitment.
4.3. Rainfall and pellet type effects on seedling survival.
Survival of the first round seedlings was related to the numbers that emerged, which is consistent
with studies that found emergence probability to be the strongest predictor of cumulative survival
(e.g., Larson et al., 2015). Of the first round Triodia seedlings, 40 % became vegetatively dormant at
the 6-leaf stage probably due to water stress, whereas only 23 % continued growing past the 20-leaf
stage. Barnes (2014) found a change in Triodia leaf anatomical features at the 12- to 20-leaf stage
which provided greater physiological capacity to withstand drought by conserving water and slowing
growth. Bateman et al. (2018) also showed that grasses species, when compared to other growth
forms, were more drought tolerant at the early seedling stage. Total survival did not show a clear
pattern with regard to experimental factors, possibly due to the shorter experimental period for the
second round emergents, less interference from pellet response effects, and the implications of
dependent probability. At the end of the experiment, three seedlings that were notably larger than
other survivors were growing in three different pellet types. Two of the plants were in the plot with
a higher clay content (Plot 41) so substrate may have been a dominant factor as Triodia roots
developed. However, it is not possible to generalise given so few survivors.
25
4.4 Microbial activity and community composition
Proteobacteria and Actinobacteria were the dominant bacterial communities in all soil types. There
was a higher percentage of Proteobacteria and Actinobacteria communities in the pellets with
amendment addition, however differences were not significant (Figure 11). Conversely there was a
slightly higher percentage of Cyanobacteria in the pellets without amendment. Proteobacteria and
Actinobacteria prefer topsoil and show positive correlation to C amendment (Bastida et al., 2013) so
this could explain the increased microbial activity in pellets with Triodia amendment. The addition of
carbon substrates in the form of organic amendment has been found to strongly increase
opportunistic microbial activity but the impacts on community composition vary over longer
timeframes (Bastida et al., 2013; Bastida et al., 2015; Hueso-González et al., 2018). Plant emergence
and survival were not correlated with microbial activity, a result similar to other studies (Kneller et
al., 2018; Gebhardt et al., 2017). Perhaps a microbial benefit will become apparent as seedlings
mature, as soil properties have been shown to significantly influence the development of plant
communities (for instance Wubs et al., 2016; You et al., 2016). Pellets contained the full set of
microbial communities that were also present in the topsoil from which pellets were constructed,
indicating that soil functionality was maintained (Wubs et al., 2016). This is a promising result
especially as the age and quality of stockpiled topsoil used may not represent what could be
achieved with fresh topsoil, given that the quality of microbial inoculum and generation of microbial
soil functions (analogous to reference sites) will depend on use of topsoil that has not been stored
for long periods (Kumaresan et al., 2017).
4.5. Implications for large-scale mine rehabilitation.
Removing the Triodia floret to overcome dormancy rapidly decreases seed persistence in the soil
(Lewandrowski et al., 2017; T. Erickson unpublished data). My results established that pre-treated
seeds could remain viable in the field within the seed pellets over the course of a season between
large rain events. The extended viability of ungerminated seeds within pellets will therefore benefit
seed-based rehabilitation programs as it demonstrates potential for multiple recruitment windows,
which increases the likelihood that seeds treated for dormancy and then pelleted will germinate and
emerge under varying conditions (Erickson et al., 2016a; Lewandrowski et al. 2017).
My results suggest that blending topsoil with waste is a useful strategy to maximise the use of this
limited resource, with the potential to dramatically reduce topsoil requirements using this method.
For example, standard practice is to spread 10 20 cm of topsoil over the rehabilitation site (Erickson
et al., 2017) (equating to 0.1 0.2 m3/m2 of topsoil). Even if one Triodia plant survives per pellet, at
5 pellets per square metre total Triodia density is consistent with required plants numbers (BGPA,
26
2017). However, the pellet method uses only 0.002 m3/m2 of topsoil; a reduction of 100 200 fold.
In addition, it was found that the relatively small quantities of topsoil blended into the pellets
maintained soil functionality, including autotrophic Cyanobacteria, which can assist in stabilising and
recovering soil processes in rehabilitation sites (Muñoz-Rojas et al., 2018b). Pelleting that
incorporates organic amendment can increase microbial activity, although the stability and maturity
of the organic material needs to be considered (Hueso-González et al., 2018), particularly given the
possible allelopathic effect on Triodia emergence. Despite the short length of the experiment, these
results serve as possible indicators that modified extruded seed pellets are a viable method to
transfer soil microbial communities to other substrates.
Overall Triodia recruitment numbers were low, with 18 % total emergence and only 9 % of first
round and 45 % of second round seedlings survived to the end of the experiment. The highest
emergence achieved in glasshouse conditions simulating the Pilbara summer season to date, by
applying a combination of treatments for Triodia, was 17 % (Kildisheva, 2019). Under field conditions
Triodia seedling emergence has been difficult, typically resulting in < 10% emergence, but it has
been as high as 40 % (Erickson et al 2017; Lewandrowski et al 2017). In this study, cumulative Triodia
seedling emergence was up to 18 %, which suggests that using irrigation to maintain soil moisture
could potentially increase establishment rates. Even so, 74 % of pellets had one or more surviving
Triodia seedlings at the end of the experiment. Targeted irrigation to supplement soil water
potentials has been recommended as a strategy to improve seedling recruitment, particularly with
the increasing rainfall variation projected under climate change (Muñoz-Rojas et al., 2016b;
Lewandrowski et al, 2017a; Loechel et al., 2011), but as substantial investment is required to
implement irrigation at the field scale, experiments are yet to be conducted.
Further research is required to develop better seed use efficiency as well as to determine the
optimal spatial density of pellets to obtain plant densities that match rehabilitation requirements.
Competition among seedlings on individual pellets was not apparent suggesting that seed densities
were appropriate for further testing, unless conditions favour increased emergence. I also
recommend that seeds selected for mixes would need to have compatible emergence requirements.
It has been noted that it is difficult to maximise establishment for all species in seed mixtures
(Madsen et al., 2016a), and this finding is confirmed by my results. Madsen (2012) found that
agglomerating seeds into a pellet improved emergence and survival in the early seedling stage by
generating enough collective force to penetrate the crust. However, unlike my experiment, he
planted only one species, so did not have deleterious interacting effects between different species.
The logistical and cost implications of optimising pellet types for species or groups of species may be
prohibitive especially given the scale of rehabilitation efforts.
27
Additional factors to be considered in translating the modified extruded seed pellet method to large
scale restoration are the erosional impacts of authentic raindrops, which can be torrential in a
tropical downpour, and the slope angle of the site (e.g., waste dump). The delivery of sprinkler water
in this experiment was gentle and the plots were levelled so field results may differ, however the
blended pellet types may also impart stability against erosion. An additional consideration is the
common practice of covering waste dumps with rock armouring to minimise erosion (Golos et al.,
2019) and it is unknown how the pellets would perform on this surface.
Conclusion
The main aim of this experiment was to assess modified extruded seed pellets as a method to
improve the soil physicochemical and microbiological environment for seedling emergence to
enhance the efficiency of seed-based rehabilitation in an arid system. This experiment demonstrated
that modified extruded seed pellets show promise as a viable alternative to spreading topsoil and
broadcasting seeds to recruit Triodia pungens. Furthermore, Triodia can establish from seed pellets
at a density that would match rehabilitation requirements but the method needs to be refined to
increase seed use efficiency. Seed viability was maintained within the pellet during the growing
season. It was demonstrated that blending waste material with topsoil improved the conditions for
seedling emergence which is a beneficial outcome for the effective use of a limited topsoil resource.
Adding Triodia biomass amendment inhibited Triodia seedling emergence but it did increase soil
microbial activity which could stimulate recovery of soil functional processes. The other species
tested need further research to overcome likely moisture limitations. I have suggested further
modifications to reduce hardsetting and to develop an extended moisture regime. My research
builds on that of others (e.g., Erickson et al., 2017) and in turn, provides a solid foundation for
additional research.
28
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Appendix
Table 4. Physicochemical properties of soils prior to the experiment (mean ± SE, *n=6, **n=3). EC:
electrical conductivity, TOC: total organic carbon.
Soil Plot soils (top
5cm)* Pellet soils **
pH 1:5 8.9 ± 0.0 8.2 ± 0.2
EC 1:5 (mS/m) 27.8 ± 1.7 149.3 ± 70.9
Total N (%) 0.013 ± 0.0 0.016 ± 0.0
TOC (%) 0.23 ± 0.02 0.27 ± 0.02
K (mg/kg) 70 ± 6 47 ± 10
Na (mg/kg) 150 ± 7 36 ± 8
P (mg/kg) 2.5 ± 0.2 1.6 ± 0.3
Sand (%) 62.9 ± 2.6 61.2 ± 7.7
Silt (%) 31.8 ± 2.0 33.7 ± 8.7
Clay (%) 5.2 ± 0.6 3.4 ± 0.2
Microbial activity (mg/kg CO2-C) 3.23 ± 0.41 2.59 ± 0.20