Upload
others
View
0
Download
0
Embed Size (px)
Citation preview
Christian Möllmann, Michael A. St.John, Rabea Diekmann and Georgs Kornilovs
F
PS AC
Climate/Hydrography
C SPR
Trophic cascade
Indirect effects of climate- and
overfishing-induced zooplankton changes on ecosystem structure –regime shifts, trophic cascades and feedback
loops in a simple ecosystem
P2P-loop
University of Hamburg
The Baltic SeaCharacteristics•large semi-enclosed brackish water body• stratified water-column with a permanent halocline• low diversity• high productivity• eutrophication • pronounced climate influence through variability in temperature & salinity• high fishing pressure
Central Baltic Sea
”Ecosystem Assessment”– Data & Methods”
Time series from 1974-2005
65 variables (12 fish-related, 6zooplankton, 20 phytoplankton-related, 8nutrient, 19 physical datasets)
Principal Component Analysis
Traffic-light plot
Source: ICES/HELCOM Working Group on Integrated Assessments of the Baltic Sea [WGIAB]
Ecosystem Regime Shift – ”Traffic lights”
AcartiaSprat
CodPseudocalanus
Coding: blue – low; red - highVariable
Aims
Demonstrate the influence of climate and human forcing on the pelagic Baltic ecosystemCentral importance of zooplankton (2 dominant
copepod species) for the ecosystem
1)Climate effects on Pseudocalanus acuspes and Acartia spp.
2) Zooplankton effects on cod and sprat recruitment
3) A trophic cascade & feedback-loops
Data & Methods
Data:Zooplankton
- Latvian Fish Resources Agency- Spring- Judai-Net (160µm)
Phytoplankton- Biomass- ICES Database
Hydrography- Temperature, salinity, cod reproductive
volume (RV)- ICES Database
Fish- Biomass and recruitment (age 0)- Multispecies Virtual Population Analysis
(MSVPA)- ICES Study Group on Multispecies
Assessments of the Baltic Sea
Methods:Regime shift analysis
- Sequential Regime Shift Detection Method (Rodionov 2004)
Statistical modelling- Linear Models- Generalized Additive
Models (GAMs)
Model selection- Linear Models: AIC
(Akaike Information Criterion)
- GAMs : GCV (Generalized Cross
- Validation criterion)
”Regime-shift” between key-species
Climate/Hydrography
AC
+ Temperature
PS
- Salinity
1975 1980 1985 1990 1995 2000 2005
Aca
rtia
spp.
0
20
40
60
80
Tem
pera
ture
1
2
3
4
5
6
Regime Shifts detected by Sequential Regime Shift Analysis
(Rodionov 2004)
1975 1980 1985 1990 1995 2000 2005
P. a
cusp
es
0
20
40
60
80
100
120
140
Sal
inity
6.6
6.8
7.0
7.2
7.4
7.6
PS – Pseudocalanus acuspes, AC – Acartia spp.
Pseudocalanus acuspes & Hydro-Climate
Results of GA-ModellingPredictors GCV R2 (%)
Salinity*** 0.313 63.0
Salinity***, NAO 0.311 72.0
*** p < 0.001
GCV – measure of model quality (the lower the better)
Acartia spp. & Hydro-climate
** p < 0.01Results of Linear-Modelling
Predictors AIC R2 (%)
Temperature** 94.73 23.3
Temperature, NAO 93.35 31.0
AIC – the lower the better ... !
”Regime-shift” between key-species
Climate/Hydrography
AC
SPR
+ Temperature
PS
C
- Salinity
1975 1980 1985 1990 1995 2000 2005
Spr
at
0
500
1000
1500
2000
2500
1975 1980 1985 1990 1995 2000 2005
Cod
0
200
400
600
800
1000
PS – Pseudocalanus acuspes, AC – Acartia spp., C – Cod, SPR - Sprat
Results of GA-Modelling
Cod recruitment & Hydro-Climate & P. acuspes
Predictors GCV R2
(%)
SSB*** 0.255 76.2
SSB***, Reproductive Volume 0.242 79.4
SSB***, Reproductive Volume*, P. acuspes** 0.187 85.8
SSB***, Reproductive Volume*,P. acuspes**, NAO
0.205 85.8
Response – ln(R/SSB) -> Recruitment success
***p < 0.001** p < 0.01* P < 0.05
Sprat recruitment & Hydro-Climate & Acartia spp.
Response – ln(R/SSB) -> Recruitment success
Results of Linear-Modelling
Predictors AIC R2
(%)
SSB** 68.46 20.0
SSB**, Temperature* 64.34 40.2
SSB***, Temperature*, Acartiaspp.* 63.66 49.52
SSB***, NAO*, Acartia spp.*, 76.34 87.6
***p < 0.001** p < 0.01* P < 0.05
1975 1980 1985 1990 1995 20000
500
1000
1500
Din
ofla
gella
tes
2
4
6
8
10
12
14
16C
od 0
200
400
600
800
1000
1200
0
500
1000
1500
2000
2500
Spra
t
0
200
400
600
800
1000
Pseu
doca
lanu
s ac
uspe
s0
500
1000
1500
2000
2500
3000
2
4
6
8
10
12
14
Species-level Trophic Cascade
Climate/Hydrography
AC
+ Temperature
SPR
PS
C
- Salinity
FTrophic cascade
SPR
PS
C
Cod
Fi
shin
g M
orta
lity
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
PS – Pseudocalanus acuspes, AC – Acartia spp., C – Cod, SPR – Sprat, F – Fishery
”Limiting” Predator –2- Prey LOOP
Climate/Hydrography
AC
+ Temperature
SPR
PS
C
- Salinity
FTrophic cascade
SPRC SPR
PS
CP2P-loop
Sprat0 500 1000 1500 2000 2500 3000
Pseu
doca
lanu
s ac
uspe
s
0
5
10
15
20
25Cod
0 200 400 600 800 1000 1200
Spra
t
0
500
1000
1500
2000
2500
3000
P2P-loop after Bakun (2007)
Pseudocalanus acuspes & Hydro-Climate & Top-down control
Results of GA-Modelling
Predictors GCV R2
(%)
Salinity*** 0.313 63.0
Salinity***, NAO 0.311 72.0
Salinity**, NAO, Sprat biomass** 0.230 80.8
***p < 0.001** p < 0.01
”Promoting” Predator –2- Prey LOOP ?
Climate/Hydrography
AC
+ Temperature
SPR
PS
C
- Salinity
FTrophic cascade
SPRC
D
1975 1980 1985 1990 1995 20000
500
1000
1500
Din
ofla
gella
tes
2
4
6
8
10
12
14
16C
od 0
200
400
600
800
1000
1200
0
500
1000
1500
2000
2500
Spra
t
0
200
400
600
800
1000
Pseu
doca
lanu
s ac
uspe
s0
500
1000
1500
2000
2500
3000
2
4
6
8
10
12
14
Cod
Fi
shin
g M
orta
lity
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
P2P-loop
PS – Pseudocalanus acuspes, AC – Acartia spp., C – Cod, SPR – Sprat, F – Fishery, D - Dinoflagellates
Acartia spp. & Hydro-Climate & Bottom-up control
Results of GA-Modelling
Predictors GCV R2 (%)
Temperature*, Dinoflagellates** 0.592 80.4
Temperature, Dinoflagellates, NAO 0.614 83.9
** p < 0.01* P < 0.05
Summary
Climate-induced changes in salinity and temperature have caused a Regime-shift in the pelagic Baltic ecosystem on all trophic levels
Regime-shift from salinity-controlled (P. acuspes/cod) to temperature-controlled (Acartia spp./sprat) species
P. acuspes and Acartia spp. are key ecosystem components, mediating the climate effect to the important fish stocks
Overfishing of cod cascades down to P. acuspes (and potentially to dinoflagellates ?), stabilizing the new regime through P2P-loops