18
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

University of Hamburg · 1975 1980 1985 1990 1995 2000 0 500 1000 1500 D i n o flage llate s 2 4 6 8 10 12 14 16 Cod 0 200 400 600 800 1000 1200 0 500 1000 1500 2000 2500 Spra t 0

  • Upload
    others

  • View
    0

  • Download
    0

Embed Size (px)

Citation preview

Page 1: University of Hamburg · 1975 1980 1985 1990 1995 2000 0 500 1000 1500 D i n o flage llate s 2 4 6 8 10 12 14 16 Cod 0 200 400 600 800 1000 1200 0 500 1000 1500 2000 2500 Spra t 0

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

Page 2: University of Hamburg · 1975 1980 1985 1990 1995 2000 0 500 1000 1500 D i n o flage llate s 2 4 6 8 10 12 14 16 Cod 0 200 400 600 800 1000 1200 0 500 1000 1500 2000 2500 Spra t 0

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

Page 3: University of Hamburg · 1975 1980 1985 1990 1995 2000 0 500 1000 1500 D i n o flage llate s 2 4 6 8 10 12 14 16 Cod 0 200 400 600 800 1000 1200 0 500 1000 1500 2000 2500 Spra t 0

”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]

Page 4: University of Hamburg · 1975 1980 1985 1990 1995 2000 0 500 1000 1500 D i n o flage llate s 2 4 6 8 10 12 14 16 Cod 0 200 400 600 800 1000 1200 0 500 1000 1500 2000 2500 Spra t 0

Ecosystem Regime Shift – ”Traffic lights”

AcartiaSprat

CodPseudocalanus

Coding: blue – low; red - highVariable

Page 5: University of Hamburg · 1975 1980 1985 1990 1995 2000 0 500 1000 1500 D i n o flage llate s 2 4 6 8 10 12 14 16 Cod 0 200 400 600 800 1000 1200 0 500 1000 1500 2000 2500 Spra t 0

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

Page 6: University of Hamburg · 1975 1980 1985 1990 1995 2000 0 500 1000 1500 D i n o flage llate s 2 4 6 8 10 12 14 16 Cod 0 200 400 600 800 1000 1200 0 500 1000 1500 2000 2500 Spra t 0

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)

Page 7: University of Hamburg · 1975 1980 1985 1990 1995 2000 0 500 1000 1500 D i n o flage llate s 2 4 6 8 10 12 14 16 Cod 0 200 400 600 800 1000 1200 0 500 1000 1500 2000 2500 Spra t 0

”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.

Page 8: University of Hamburg · 1975 1980 1985 1990 1995 2000 0 500 1000 1500 D i n o flage llate s 2 4 6 8 10 12 14 16 Cod 0 200 400 600 800 1000 1200 0 500 1000 1500 2000 2500 Spra t 0

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)

Page 9: University of Hamburg · 1975 1980 1985 1990 1995 2000 0 500 1000 1500 D i n o flage llate s 2 4 6 8 10 12 14 16 Cod 0 200 400 600 800 1000 1200 0 500 1000 1500 2000 2500 Spra t 0

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 ... !

Page 10: University of Hamburg · 1975 1980 1985 1990 1995 2000 0 500 1000 1500 D i n o flage llate s 2 4 6 8 10 12 14 16 Cod 0 200 400 600 800 1000 1200 0 500 1000 1500 2000 2500 Spra t 0

”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

Page 11: University of Hamburg · 1975 1980 1985 1990 1995 2000 0 500 1000 1500 D i n o flage llate s 2 4 6 8 10 12 14 16 Cod 0 200 400 600 800 1000 1200 0 500 1000 1500 2000 2500 Spra t 0

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

Page 12: University of Hamburg · 1975 1980 1985 1990 1995 2000 0 500 1000 1500 D i n o flage llate s 2 4 6 8 10 12 14 16 Cod 0 200 400 600 800 1000 1200 0 500 1000 1500 2000 2500 Spra t 0

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

Page 13: University of Hamburg · 1975 1980 1985 1990 1995 2000 0 500 1000 1500 D i n o flage llate s 2 4 6 8 10 12 14 16 Cod 0 200 400 600 800 1000 1200 0 500 1000 1500 2000 2500 Spra t 0

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

Page 14: University of Hamburg · 1975 1980 1985 1990 1995 2000 0 500 1000 1500 D i n o flage llate s 2 4 6 8 10 12 14 16 Cod 0 200 400 600 800 1000 1200 0 500 1000 1500 2000 2500 Spra t 0

”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)

Page 15: University of Hamburg · 1975 1980 1985 1990 1995 2000 0 500 1000 1500 D i n o flage llate s 2 4 6 8 10 12 14 16 Cod 0 200 400 600 800 1000 1200 0 500 1000 1500 2000 2500 Spra t 0

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

Page 16: University of Hamburg · 1975 1980 1985 1990 1995 2000 0 500 1000 1500 D i n o flage llate s 2 4 6 8 10 12 14 16 Cod 0 200 400 600 800 1000 1200 0 500 1000 1500 2000 2500 Spra t 0

”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

Page 17: University of Hamburg · 1975 1980 1985 1990 1995 2000 0 500 1000 1500 D i n o flage llate s 2 4 6 8 10 12 14 16 Cod 0 200 400 600 800 1000 1200 0 500 1000 1500 2000 2500 Spra t 0

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

Page 18: University of Hamburg · 1975 1980 1985 1990 1995 2000 0 500 1000 1500 D i n o flage llate s 2 4 6 8 10 12 14 16 Cod 0 200 400 600 800 1000 1200 0 500 1000 1500 2000 2500 Spra t 0

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