section 1 examples of simple diagnostic models of ecosystem response to climate forcing
DESCRIPTION
SECTION 1 Examples of simple diagnostic models of ecosystem response to climate forcing. NORTH ATLANTIC HERRING. Marc Hufnagl Myron Peck, Thomas Pohlmann, Mark Dickey-Collas, Richard Nash, Markus Kreus, Johannes Pätsch. North Sea. Norway. Iceland. Toresen Østvedt, 2000. - PowerPoint PPT PresentationTRANSCRIPT
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Diagnostic ModelsHerring
ECOFOR 2012
SECTION 1 Examples of simple diagnostic models
of ecosystem response to climate forcing
NORTH ATLANTIC HERRING
Marc HufnaglMyron Peck, Thomas Pohlmann,
Mark Dickey-Collas, Richard Nash,Markus Kreus, Johannes Pätsch
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Diagnostic ModelsHerring
ECOFOR 2012
http://www.fisheries.is/main-species/pelagic-fishes/atlantic-herring/
http://www.gma.org/herring/biology/distribution/stocks.asp
Toresen Østvedt, 2000
http://www.thefishsite.com
Georges Bank
Nova Scotia
St. Lawrence
Iceland
NorwayNorth Sea
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Diagnostic ModelsHerring
ECOFOR 2012
Calendar day
Shetland
Buchan
Banks
Downs
Norway
Firth of Clyde
Downs
Celtic/Irish Celtic/Irish
west. Balticlatit
ude
50°
54°
56°
58°
62°
60°
0 30 90 120
150
180
210
240
270
300
330
360
Iceland
60
Herring spawning periods North Sea
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Diagnostic ModelsHerring
ECOFOR 2012
StockCollapse
Recovery
"Normal"Fishery
RecentPeriod
adults, F2-6
juveniles, F0-1
2.0
1.0
0.0
100
50
0
1
019701960 19901980 2000 2010
Mo
rta
lity
(F)
(yea
r-1)
Re
crui
ts(1
09)
SS
B(M
t)
Payne et al. (2009)
North Sea Autumn Spawners
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Diagnostic ModelsHerring
ECOFOR 2012
Influenced by environmental factors?
Toresen Østvedt, 2000, Fish and Fisheries
Norwegian spring spawners
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Diagnostic ModelsHerring
ECOFOR 2012
standardized recuitment
SSB [million t]
AMO
NAO
Gröger et al. 2009 ICES JMS
Influenced by environmental factors?
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Diagnostic ModelsHerring
ECOFOR 2012
1. What influenced the decrease in recruitment ?
- what is the most important period ?
- what are the best indicators ?
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Diagnostic ModelsHerring
ECOFOR 2012
Juveniles (IBTS age 1)
Ad
ult (S
SB
)
Early larvae (MLAI)
Lat
e la
rvae
(M
IK)
Payne et al. (2009)
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Diagnostic ModelsHerring
ECOFOR 2012
0 50 100 150 200 250 300 3500
50
100
150
200
250
300
1977
1978
1979
1980
1981
1982
1983
19841985
1986
1987
1988
1989
1990
19911992
1993
1994
1995
1996
1997
1998
1999
2000
2001
20022003
2004
2005
MLAI (recruitment abundance fall winter)
MIK
(s
urv
ive
rs i
n F
eb
ruar
y)
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Diagnostic ModelsHerring
ECOFOR 2012
Analyzing the experienced environmental conditions using drift models
Approach 1: Specific herring drift model
Approach 2: General analysis of potential indicatorsfor different species
Approach 3: IBM to analyze survival and growth
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Diagnostic ModelsHerring
ECOFOR 2012
Analyzing the experienced environmental conditions using drift models
Approach 1: Specific herring drift model
Approach 2: General analysis of potential indicatorsfor different species
Approach 3: IBM to analyze survival and growth
![Page 12: SECTION 1 Examples of simple diagnostic models of ecosystem response to climate forcing](https://reader034.vdocuments.site/reader034/viewer/2022051517/5681451c550346895db1dd78/html5/thumbnails/12.jpg)
Diagnostic ModelsHerring
ECOFOR 2012
Analyzing the experienced environmental conditions using drift models
6°W 4°W 2°W 0° 2°E 4°E 48°N
51°N
54°N
57°N
60°N
me
an
larv
al a
bu
nd
an
ce
(n·m
-2 ,
19
72
-20
07
)
abundance ( n·m-2 )
OS
Bu
BaN
BaS
Do
0 500250time (day)
0 100 200 3000
5000
500
10000
500
1000
0
5000
500OS
Bu
BaN
BaS
Do
start areas start times
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Diagnostic ModelsHerring
ECOFOR 2012
1980 2000
NA
O
1994/1995 1995/1996
Drifter positions in February
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Diagnostic ModelsHerring
ECOFOR 2012
Proxies for each spawning component on drift day 150 (February, IBTS)
- temperature- cumulative temperature- mean longitude- mean latitude- major axis of kernel- minor axis of kernel- tilt angle of kernel- isotropy- distance
Drifter positions in February
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Diagnostic ModelsHerring
ECOFOR 2012
-8 -6 -4 -2 0 2 4 6 8 10-8
-6
-4
-2
0
2
4
6
8
eigenvector 1 (26.1 % of variance)
eig
enve
cto
r 2
(25.
9 %
of
vari
ance
)
2.1
7
7
7.8 9.3
4.4 4.3
3.7
2.4
7
2.5
0.5
0.2
0.4
2.2
4.5 3.4
6.1
4.8
3.4
0.9
3.3
2.3
5.3
1.2
0.5
0.2
0.2
0.3
PCA of all indicators(labels overwinter survival)
survival lower than averagehigher than average
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Diagnostic ModelsHerring
ECOFOR 2012
-8 -6 -4 -2 0 2 4 6 8-2
0
2
4
6
8
10
R²= 0.46
eigenvector 2
ov
erw
inte
r s
urv
ival
Recruitment is related to drift and temperature conditions
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Diagnostic ModelsHerring
ECOFOR 2012
-8 -6 -4 -2 0 2 4 6 8-2
0
2
4
6
8
10
R²= 0.46
eigenvector 2
ov
erw
inte
r s
urv
ival
Recruitment is related to drift and temperature conditions
distance between start and end position
Temperature
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Diagnostic ModelsHerring
ECOFOR 2012
Analyzing the experienced environmental conditions using drift models
Approach 1: Specific herring drift model
Approach 2: General analysis of potential indicatorsfor different species
Approach 3: IBM to analyze survival and growth
![Page 19: SECTION 1 Examples of simple diagnostic models of ecosystem response to climate forcing](https://reader034.vdocuments.site/reader034/viewer/2022051517/5681451c550346895db1dd78/html5/thumbnails/19.jpg)
Diagnostic ModelsHerring
ECOFOR 2012
- Coupling of a Langrangian Drifter model with NPZD- Starting drifters in each box each day from 1980 to 2006- Tracking of all available idices over 60 days- T, S, Phytoplankton (small, large), Zooplankton (small, large)- Kernel statistics
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Diagnostic ModelsHerring
ECOFOR 2012
- Coupling of a Langrangian Drifter model with NPZD- Starting drifters in each box each day from 1980 to 2006- Tracking of all available idices over 60 days- T, S, Phytoplankton (small, large), Zooplankton (small, large)- Kernel statistics
161 areas365 days 12 months25 proxies
year
pro
xy
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Diagnostic ModelsHerring
ECOFOR 2012
pro
xy3
pro
xy2
year
pro
xy1
Correlation of proxy serieswith Recruitment/SBB series
correlation prediction
correlation in the first half significant
3 neighboring areas also significant
r² in the second half > 0.3
R/SSB = a x Proxy + b
Identification of area, month and proxy
Future prediction of R/SSB
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Diagnostic ModelsHerring
ECOFOR 2012
month
R/S
SB
year19901980 2000 2010
spawning period
proxy P2
P12
Z1
Z2Z12
# c
orr
el.
# c
orr
el.
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Diagnostic ModelsHerring
ECOFOR 2012
x spawning areas
correlations
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Diagnostic ModelsHerring
ECOFOR 2012
Preliminary results of a herring forecasts
and
a similar approach for other species
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Diagnostic ModelsHerring
ECOFOR 2012
2070 2080 2090 2100
R/SS
Bmean ± sd observations
mean ± sd hindcast
mean ± sd forecast
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Diagnostic ModelsHerring
ECOFOR 2012
Preliminary results for other species
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Diagnostic ModelsHerring
ECOFOR 2012 time time
R/S
SB
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Diagnostic ModelsHerring
ECOFOR 2012 month month
# c
orr
ela
tion
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Diagnostic ModelsHerring
ECOFOR 2012
# c
orr
ela
tion
s
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Diagnostic ModelsHerring
ECOFOR 2012
x spawning areas
correlations
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Diagnostic ModelsHerring
ECOFOR 2012year year
R/S
SB
forecast
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Diagnostic ModelsHerring
ECOFOR 2012
Thank you for your attention !
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Diagnostic ModelsHerring
ECOFOR 2012
Approach 1: Specific herring drift model
Approach 2: General analysis of potential indicatorsfor different species
Approach 3: IBM to analyze survival and growth
What are the mechanisms how is recruitment influenced ?
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Diagnostic ModelsHerring
ECOFOR 2012
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Diagnostic ModelsHerring
ECOFOR 2012
What are the mechanisms/reasons ?
Prey concentrations during first feeding have to be high
Combination of temperature and daylength restricts survival
Size of the zooplankton and match mismatch influences survival
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Diagnostic ModelsHerring
ECOFOR 2012
Overview
North Atlantic Herring
North Sea Herring
Recruitment variability
Climate influece
Recruitment models
What are the mechanisms ?
http://www.gma.org
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Diagnostic ModelsHerring
ECOFOR 2012
Do we get similar results to the study before?
YES, ….
Number of significant correlations between T°C and R/SSB
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Diagnostic ModelsHerring
ECOFOR 2012
Do we get similar results to the study before?
YES, ….
… but other indicators have an even higher predictive capacity
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Diagnostic ModelsHerring
ECOFOR 2012
AUTUMN and WINTER SPAWNERS
Nash et al. (2009)
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Diagnostic ModelsHerring
ECOFOR 2012
AUTUMN and WINTER SPAWNERS
Nash et al. (2009)
IHLSMLAI - INDEX(multiplicative larvaeabundance index)
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Diagnostic ModelsHerring
ECOFOR 2012
AUTUMN and WINTER SPAWNERS
Nash et al. (2009)
IHLSMLAI - INDEX(multiplicative larvaeabundance index)
1st quarter IBTSMIK 0-group index20 to 30 mm SL
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Diagnostic ModelsHerring
ECOFOR 2012
AUTUMN and WINTER SPAWNERS
Nash et al. (2009)
IHLSMLAI - INDEX(multiplicative larvaeabundance index)
1st quarter IBTSMIK 0-group index20 to 30 mm SL
Aug-Jan
IHLS
Feb
IBTS
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Diagnostic ModelsHerring
ECOFOR 2012
Experienced Temperatures
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Diagnostic ModelsHerring
ECOFOR 2012
Changes in Experienced Temperatures
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Diagnostic ModelsHerring
ECOFOR 2012
North Atlantic Herring
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Diagnostic ModelsHerring
ECOFOR 2012
So what do early life stages experience?
5
15
10
5
1970 1980 1990 2000
T°C
15
10
5
15
10
15
10
10
5
1970 1980 1990 2000
Orkney
Buchan
Banks
Downs
Larvae pre-metarmorphosis
Juvenile 0
Juvenile 1