ecosystem variability, preparing an integrated (ecosystem) assessment of the north sea
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Ecosystem variability, preparing an integrated (ecosystem) assessment of the North Sea. Andrew Kenny (CEFAS, UK). ICES/NAFO Symposium Santander 2011. Outline. IEA Concepts and Approaches (2 slides) Ecosystem Variability – North Sea case study (18 slides) - PowerPoint PPT PresentationTRANSCRIPT
Ecosystem variability, preparing an integrated (ecosystem)
assessment of the North Sea
Andrew Kenny (CEFAS, UK)
ICES/NAFO Symposium Santander 2011
Outline
• IEA Concepts and Approaches (2 slides)
• Ecosystem Variability – North Sea case study (18 slides)
• Policy & Management Relevance (3 slides)
1/ 1 Introduction ICES/NAFO Symposium Santander 2011
The flow of information required in an adaptive integrated management system to conserve the marine environment. ICES SGEAM 2000 report.
IEA: Process & Products
1/ 2 Concepts & Approaches ICES/NAFO Symposium Santander 2011
•Data Driven!Integrated analysis of empirical data…patterns & causes of ecosystem change
•Policy Driven!Impact Assessment Matrices… immediate policy relevance
IEA : Approaches:
Both part of the same solution!
ICES/NAFO Symposium Santander 20112/ 2 Concepts & Approaches
ICES“North Sea Integrated
Ecosystem Assessment” (1983 – 2009)
1/ 18 Ecosystem Variability ICES/NAFO Symposium Santander 2011
Data Driven…..!
Kenny et al. 2009. An integrated approach for assessing the relative significance of human pressures and environmental forcing on the status of Large Marine Ecosystems. PiO, 81, 1-4, 132-148.
North Sea Monitoring Data
8,433,120 spatially & temporally explicit ecosystem observations (1983-2009)
Abiotic, Biotic State/Pressure variables representing 5 trophic levels……
ICES/NAFO Symposium Santander 20112/18 Ecosystem Variability
3 Years of effort, but…..
Online Data Interrogation Tools
ICES/NAFO Symposium Santander 20115/18 Ecosystem Variability
www.Emecodata.net http://www.ices.dk/marineworld/fishmap/ices
Explore patterns of ecosystem variability – the big picture!
Which components
Data source Data items Dates Time unit
Space unit Notes
SAHFOS (CPR) Plankton, Chl 1948 – 2009 Monthly ICES
rectangleFull taxonomy and ICES rectangles from WinCPR
ICES OceanographySalinity, Temp,
Nutrients1973 – 2009 Monthly ICES
rectangleAlso earlier years.
Includesnutrients, Chl, oxygen
ICES/Defra/FRS (Fishstat)
Fish landings by species and
effort by fleet1970 – 2009 Annual ICES
rectangleCommercial demersal
and pelagic species
JNCC/ESAS Sea Birds 1980-2004 Annual
ICES rectangle
ICES Fish Stock Assessment
1960 – 2009 Annual ICES
rectanglePelagic and demersal fish
lengths. ES Fish sp.
>100 individual state/pressure variables
ICES/NAFO Symposium Santander 20113/18 Ecosystem Variability
The need for Gridded Data
•Time-Series Analysis (for each parameter a North Sea annual average)
•Spatial Analysis (for each parameter a time-series average for each cell)
ICES/NAFO Symposium Santander 20114/18 Ecosystem Variability
Spatial Analysis
ICES/NAFO Symposium Santander 20116/18 Ecosystem Variability
Spatial Analysis
Estimated (modelled) seawater residence times (ICES, 1983).
ICES/NAFO Symposium Santander 20117/18 Ecosystem Variability
Conclusions(Spatial Analysis)
• Clear environmental gradients• Bathymetry and hydrodynamic processes
(waves, tides, nutrients) most important• Spatial gradients are relatively stable over
time (multi-decadal)• Abiotic spatial gradients correlate
significantly with spatial trends in all biotic parameters analysed
ICES/NAFO Symposium Santander 20118/18 Ecosystem Variability
Time-Series Analysis(1983 – 2007)
ICES/NAFO Symposium Santander 20119/18 Ecosystem Variability
-2.5
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
2.5
19
83
19
85
19
87
19
89
19
91
19
93
19
95
19
97
19
99
20
01
20
03
20
05
20
07
Va
ria
ble
An
om
olie
s
Bottom Temp
AvPelFishLen(cms)
calhelNS
SKA
COD
OttTraw
- 3
- 2 . 5
- 2
- 1 . 5
- 1
- 0 . 5
0
0 . 5
1
1 . 5
2
2 . 5
3
3 . 5
1983 2007
106
orde
red
stat
e/pr
essu
re v
aria
bles
PC
1 –
35%
North Sea Ecosystem
D. FishC. FinmarchicusNutrientsSalinityN. Fulmar
P. FishC. helgolandicus
TemperatureCPR Colour Index
N. Gannet
10/18 Ecosystem Variability ICES/NAFO Symposium Santander 2011
North Sea 83 - 09 (env, plank, stocks, fisheries)
-10 -5 0 5 10
PC1
-10
-5
0
5
10
PC
2
1983
198419851986
19871988
1989
1990
1991
19921993
19941995
19961997
1998
19992000
2001
20022003
2004
200520062007
20082009
Increases in Herring SSB, Ave P. Fish Length, Temp, C. Helgolandicus
Incr
ea
ses
in A
ve.
D F
ish
Le
ng
th,
C.
Fin
ma
rch
icu
s.
North Sea Ecosystem
1983 – 1990
1991 – 2001
2003 – 2009
ICES/NAFO Symposium Santander 201111/18 Ecosystem Variability
What is driving this pattern of change?
Rodionov Regime Shift Detector
Environment
Ecosystem Component Interactions Fishing Pressure
ICES/NAFO Symposium Santander 201112/18 Ecosystem Variability
North Sea Ecosystem Components
Fishing EffortFish Stocks
ICES/NAFO Symposium Santander 201113/18 Ecosystem Variability
- 3
- 2 . 5
- 2
- 1 . 5
- 1
- 0 . 5
0
0 . 5
1
1 . 5
2
2 . 5
3
3 . 5
1983 2007
North Sea Ecosystem1983 - 2007
1992199319941995199619971998199920002001200220032004200520062007
18/20 ICES/NAFO Symposium Santander 201114/18 Ecosystem Variability
Fishery/Stock -0.3
-0.2
-0.1
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
19
83
19
84
19
85
19
86
19
87
19
88
19
89
19
90
19
91
19
92
19
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97
19
98
19
99
20
00
20
01
20
02
20
03
20
04
20
05
20
06
20
07
Years
Co
mp
on
en
t Re
late
dn
ess
(R
ho)
0
200000
400000
600000
800000
1000000
1200000
1400000
1600000
1800000
2000000
He
rrin
g S
SB
(A
rea
IV, V
II)
Env./Plankton-0.3
-0.2
-0.1
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
19
83
19
84
19
85
19
86
19
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19
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00
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01
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06
20
07
Years
Co
mp
on
en
t Re
late
dn
ess
(R
ho
)
0
200000
400000
600000
800000
1000000
1200000
1400000
1600000
1800000
2000000
He
rrin
g S
SB
(A
rea
IV, V
II)
SSB Herring
-0.3
-0.2
-0.1
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
19
83
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84
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00
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01
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02
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03
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04
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05
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06
20
07
Years
Co
mp
on
en
t Re
late
dn
ess
(R
ho
)
0
200000
400000
600000
800000
1000000
1200000
1400000
1600000
1800000
2000000
He
rrin
g S
SB
(A
rea
IV, V
II)
Trends within TrendsLong-term trends Herring SSB, AMO & Herring Landings
What about other ecosystem variables?
ICES/NAFO Symposium Santander 201115/18 Ecosystem Variability
Toresen and Østvedt, 2000
- 3
- 2 . 5
- 2
- 1 . 5
- 1
- 0 . 5
0
0 . 5
1
1 . 5
2
2 . 5
3
3 . 5
1983 200710
6 or
dere
d st
ate/
pres
sure
var
iabl
esP
C1
–3
5%
North Sea Ecosystem
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
-0.5
-0.4
-0.3
-0.2
-0.1
0
0.1
0.2
0.3
0.4
0.5
1950 1960 1970 1980 1990 2000 2010 PP a
nom
aly
AMO
AMO
AMO Loess
Model Primary Production anomaly
Ecosystem Trends
ICES/NAFO Symposium Santander 201116/18 Ecosystem Variability
Closer look at trends in –ve anomalies from 1983
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
-0.5
-0.4
-0.3
-0.2
-0.1
0
0.1
0.2
0.3
0.4
0.5
1950 1960 1970 1980 1990 2000 2010 PP a
nom
aly
AMO
AMO
AMO Loess
Model Primary Production anomaly
Ecosystem Trends
ICES/NAFO Symposium Santander 201117/18 Ecosystem Variability
P. FishC. helgolandicus
CPR Colour IndexN. Gannet
The good days… could be at an end!!
Conclusions(Time-Series Analysis)
• Trends within Trends (longer-term, multi-decadal trajectories, shorter-term multi-annual oscillations)
• Trajectories possibly linked to the AMO?• Oscillations linked to a dynamic equilibrium
between top-down vs. bottom-up forcing• The direction, rate and amplitude of
oscillations appear greatest during phase changes in the AMO. Combination of fishing and climate pressures.
ICES/NAFO Symposium Santander 201118/18 Ecosystem Variability
What is the policy relevance?
ICES/NAFO Symposium Santander 20111/3 Policy Relevance
Policy Relevance• Management strategies which adapt to long-
term natural changes in ecosystem state (or trajectories) are essential - more of some things, but less of others
• Assessment of GES descriptors at appropriate scales in time and space - different scales of assessment = different outcomes
• Avoid rapid changes in ecosystem state (regime shifts) - by assessing the relative direction and rate of bottom-up vs top-down forcing and the interactions between ecosystem components
ICES/NAFO Symposium Santander 20112/3 Policy Relevance
Objective Science
Modelling Component Interactions (help to identify which are the most significant)
-0.3
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Years
Co
mp
on
en
t Re
late
dn
ess
(R
ho
)
0
200000
400000
600000
800000
1000000
1200000
1400000
1600000
1800000
2000000
He
rrin
g S
SB
(A
rea
IV, V
II)Expert JudgementImpact matrix for integrated monitoring and assessment
Integrated Ecosystem Assessment
Regional assessments for MSFD (GES) OSPAR Quality Status Reports
Effective (& objective) transfer of scientific knowledge into policy
3/3 Policy Relevance
Thank You!
The start of a new day for marine management!