christian möllmann, rabea diekmann, jens floeter axel temming
TRANSCRIPT
![Page 1: Christian Möllmann, Rabea Diekmann, Jens Floeter Axel Temming](https://reader033.vdocuments.net/reader033/viewer/2022051600/628017383d1e640b28163875/html5/thumbnails/1.jpg)
Climate and anthropogenic effects on structure and functioning of the North Sea ecosystem
Christian Möllmann, Rabea Diekmann, Jens Floeter & Axel Temming
University of Hamburg, Institute for Hydrobiology and Fisheries Science
![Page 2: Christian Möllmann, Rabea Diekmann, Jens Floeter Axel Temming](https://reader033.vdocuments.net/reader033/viewer/2022051600/628017383d1e640b28163875/html5/thumbnails/2.jpg)
Methods & Analyses
• Generalized Additive
Models (GAMs)• Non‐Additive
Threshold‐GAMs
(T‐GAMs; Ciannelli et al. 2004)
– Finds periods with and without (or different functional) relationships & and a threshold
1.
AMO & NAO effect on North Sea SST– Additive models vs. non‐additive (effect of NAO relative to
AMO)2.
AMO, NAO & SST effects on Trophic Levels– Additive AMO‐
& NAO‐models vs. SST‐models
– Non‐additive vs. additive AMO‐
& NAO‐models3.
AMO & Fisheries effects on Trophic Levels– Non‐additive vs. additive AMO‐
& Fishing mortality‐models
![Page 3: Christian Möllmann, Rabea Diekmann, Jens Floeter Axel Temming](https://reader033.vdocuments.net/reader033/viewer/2022051600/628017383d1e640b28163875/html5/thumbnails/3.jpg)
Data
Data (1963‐
2007)•Plankton –
Continuous Plankton Recorder (SAHFOS)
•Fish – multispecies fisheries model output (SMS)
•Trophic Level Indicators – Phytoplankton:
CPR „phytoplankton colour index“
– Zooplankton: CPR „total copepods“
– Planktivores: herring, sandeel, norway pout
– Piscivores:
Cod, haddock, saithe, whiting
•SST (Hadley 3), North Atlantic Oscillation (NAO), Atlantic Multidecadal Oscillation (AMO)
![Page 4: Christian Möllmann, Rabea Diekmann, Jens Floeter Axel Temming](https://reader033.vdocuments.net/reader033/viewer/2022051600/628017383d1e640b28163875/html5/thumbnails/4.jpg)
1 –
Climate effect on North Sea SST
![Page 5: Christian Möllmann, Rabea Diekmann, Jens Floeter Axel Temming](https://reader033.vdocuments.net/reader033/viewer/2022051600/628017383d1e640b28163875/html5/thumbnails/5.jpg)
Additive
Climate‐SST relationship
Generalized Additive Model (GAM): r2
= 0.663; both predictors p < 0.001
-0.2 0.0 0.2 0.4 0.6
-1.0
-0.5
0.0
0.5
1.0
1.5
AMO
SS
T
-2 -1 0 1 2-1
.0-0
.50.
00.
51.
01.
5
NAO
SS
T
![Page 6: Christian Möllmann, Rabea Diekmann, Jens Floeter Axel Temming](https://reader033.vdocuments.net/reader033/viewer/2022051600/628017383d1e640b28163875/html5/thumbnails/6.jpg)
Non‐Additive
Climate‐SST relationship
Threshold Generalized Additive Model
(TGAM): r2
= 0.723
Predictor AMO‐state P ‐
values
AMO low 0.733
AMO high < 0.001
NAO low < 0.001
NAO high 0.904
AMO low (≤
r) AMO high(> r)
Conclusions•TGAM „better“
than GAM•AMO has significant effect when
in a „high state“•NAO has ONLY a significant
effect when AMO is low !
![Page 7: Christian Möllmann, Rabea Diekmann, Jens Floeter Axel Temming](https://reader033.vdocuments.net/reader033/viewer/2022051600/628017383d1e640b28163875/html5/thumbnails/7.jpg)
2 –
Climate/SST effect on North Sea ecosystem
![Page 8: Christian Möllmann, Rabea Diekmann, Jens Floeter Axel Temming](https://reader033.vdocuments.net/reader033/viewer/2022051600/628017383d1e640b28163875/html5/thumbnails/8.jpg)
-0.2 0.0 0.2 0.4 0.6
-2-1
01
2
AMO
Phy
topl
ankt
on
-2 -1 0 1 2
-2-1
01
2
NAO
Phy
topl
ankt
on
-0.5 0.0 0.5 1.0
-2-1
01
2
SST
Phy
topl
ankt
on
Phytoplankton
vs. Climate –
Additive
Generalized Additive Model (GAM): r2
= 0.404; AMO – p < 0.001; NAO – p < 0.05
Univariate Model: r2
= 0.246; p <
0.001
![Page 9: Christian Möllmann, Rabea Diekmann, Jens Floeter Axel Temming](https://reader033.vdocuments.net/reader033/viewer/2022051600/628017383d1e640b28163875/html5/thumbnails/9.jpg)
-0.2 0.0 0.2 0.4 0.6
-2-1
01
2
AMO
Zoop
lank
ton
-2 -1 0 1 2
-2-1
01
2
NAO
Zoop
lank
ton
-0.2 0.0 0.2 0.4 0.6
-2-1
01
2
SST
Zoop
lank
ton
Zooplankton
vs. Climate –
Additive
Generalized Additive Model (GAM): r2
= 0.332; AMO – p < 0.001; NAO – p > 0.05
Univariate Model: r2
= 0.144; p < 0.05
![Page 10: Christian Möllmann, Rabea Diekmann, Jens Floeter Axel Temming](https://reader033.vdocuments.net/reader033/viewer/2022051600/628017383d1e640b28163875/html5/thumbnails/10.jpg)
Planktivores
vs. Climate –
Additive
Generalized Additive Model (GAM): r2
= 0.177; AMO – p < 0.02
Generalized Additive Model (GAM): r2
= 0.133; SST – p < 0.05
-0.2 0.0 0.2 0.4 0.6
-2-1
01
2
AMO
Pla
nktiv
ores
-0.5 0.0 0.5 1.0
-2-1
01
2
SST
Pla
nktiv
ores
![Page 11: Christian Möllmann, Rabea Diekmann, Jens Floeter Axel Temming](https://reader033.vdocuments.net/reader033/viewer/2022051600/628017383d1e640b28163875/html5/thumbnails/11.jpg)
-0.2 0.0 0.2 0.4 0.6
-2-1
01
2
AMO
Pis
civo
res
-2 -1 0 1 2
-2-1
01
2
NAO
Pis
civo
res
-0.5 0.0 0.5 1.0
-2-1
01
2
SST
Pis
civo
res
Piscivores
vs. Climate –
Additive
Generalized Additive Model (GAM): r2
= 0.465; AMO – p < 0.001; NAO – p < 0.001
Univariate Model: r2
= 0.308; p <
0.001
![Page 12: Christian Möllmann, Rabea Diekmann, Jens Floeter Axel Temming](https://reader033.vdocuments.net/reader033/viewer/2022051600/628017383d1e640b28163875/html5/thumbnails/12.jpg)
Phytoplankton
vs. Climate –
Non‐Additive
Threshold Generalized Additive Model
(TGAM): r2
= 0.520AMO low (≤
r) AMO high(> r)
Conclusions•TGAM „better“
than GAM•AMO has significant effect when
in a „high (warm) state“•NAO has ONLY a significant
effect when AMO is low (cold
state) !
Predictor AMO‐state P ‐
values
AMO low 0.401
AMO high < 0.001
NAO low < 0.01
NAO high 0.841
![Page 13: Christian Möllmann, Rabea Diekmann, Jens Floeter Axel Temming](https://reader033.vdocuments.net/reader033/viewer/2022051600/628017383d1e640b28163875/html5/thumbnails/13.jpg)
Trophic Levels
vs. Climate –
Additive
vs. Non‐Additive
Predictor AMO‐state Phyto‐
plankton
Zooplank‐
ton
Planktivores Piscivores
AMO low 0.401 < 0.01 < 0.05 < 0.01
AMO high < 0.001 < 0.05 < 0.01 < 0.001
NAO low < 0.01 < 0.01 0.348 0.274
NAO high 0.841 0.884 0.195 < 0.001
T – GAM ‐ r2=0.520 r2=0.390 r2=0.421 r2=0.498
GAM ‐ r2=0.404 r2=0.332 r2=0.177 r2=0.465
![Page 14: Christian Möllmann, Rabea Diekmann, Jens Floeter Axel Temming](https://reader033.vdocuments.net/reader033/viewer/2022051600/628017383d1e640b28163875/html5/thumbnails/14.jpg)
3 –
Climate & fishing effect on North Sea ecosystem
![Page 15: Christian Möllmann, Rabea Diekmann, Jens Floeter Axel Temming](https://reader033.vdocuments.net/reader033/viewer/2022051600/628017383d1e640b28163875/html5/thumbnails/15.jpg)
-0.2 0.0 0.2 0.4 0.6
-2-1
01
2
AMO
Pla
nktiv
ores
0.08 0.10 0.12 0.14 0.16 0.18-2
-10
12
F
Pla
nktiv
ores
Piscivores
vs. Climate & Fishing
–
Additive
Generalized Additive Model (GAM): r2
= 0.437; AMO – p < 0.001; F – p < 0.01
![Page 16: Christian Möllmann, Rabea Diekmann, Jens Floeter Axel Temming](https://reader033.vdocuments.net/reader033/viewer/2022051600/628017383d1e640b28163875/html5/thumbnails/16.jpg)
Piscivores
vs. Climate & Fishing – Non‐Additive
Threshold Generalized Additive Model
(TGAM): r2
= 0.458
Conclusions•Fishing has only a significant
effect when AMO is low (in a cold
state !•When AMO is high (in a warm
state), fishing effect not
detectable anymore !
Predictor AMO‐state P ‐
values
AMO low 0.094
AMO high < 0.01
F low < 0.001
F high 0.563
AMO low
AMO high
![Page 17: Christian Möllmann, Rabea Diekmann, Jens Floeter Axel Temming](https://reader033.vdocuments.net/reader033/viewer/2022051600/628017383d1e640b28163875/html5/thumbnails/17.jpg)
„Cascading AMO‐effect“ on Trophic Levels
-0.2 0.0 0.2 0.4 0.6
-20
12
AMO
Pisc
ivor
es
-0.2 0.0 0.2 0.4 0.6
-20
12
AMO
Pla
nktiv
ores
-0.2 0.0 0.2 0.4 0.6
-20
12
AMO
Zoop
lank
ton
-0.2 0.0 0.2 0.4 0.6
-20
12
AMO
Phy
topl
ankt
on
![Page 18: Christian Möllmann, Rabea Diekmann, Jens Floeter Axel Temming](https://reader033.vdocuments.net/reader033/viewer/2022051600/628017383d1e640b28163875/html5/thumbnails/18.jpg)
Summary
• Multidecadal (AMO) and decadal
(NAO) climate effects seem to
determine North Sea SST in a non‐additive way (NAO only important when
AMO is low)• Trophic Levels
– Additive models of AMO & NAO generally perform better than simple
SST‐model– Non‐additive models (T‐GAMs) perform generally better than additive
models (GAM)– For lower TLs NAO only important when AMO is in a low (cold) state– For higher TLs this pattern slightly reverses (impact of fishing?)– Effect of fishing on Piscivores
only significant when AMO low (i.e. a
cold state–positive for piscivores); when AMO is high (i.e. warm state–
negative for piscivores) fishing „does not matter“
anymore– AMO shows a striking „cascading effect“
on TLs, which indicates
tremendous trophic reorganization with warming
![Page 19: Christian Möllmann, Rabea Diekmann, Jens Floeter Axel Temming](https://reader033.vdocuments.net/reader033/viewer/2022051600/628017383d1e640b28163875/html5/thumbnails/19.jpg)
Thanks !
Please visit: www.uni‐hamburg.de/ihf/index_e.html