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Understanding North Sea ecosystem dynamics: Is 3 decades enough?. Chris Frid School of Biological Sciences. The North Sea. The North Sea is a semi-enclosed, highly productive ( >300 g C m -2 yr -1 ), relatively shallow, temperate sea. - PowerPoint PPT Presentation
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Understanding North Sea ecosystem
dynamics: Is 3 decades enough?
Chris FridSchool of Biological Sciences
The North Sea is a semi-enclosed, highly productive (>300 g C m-2 yr-1), relatively shallow, temperate sea.
A variety of human activities affect the marine ecosystem:• nutrient enrichment,• coastal developments,• the fisheries.
The North Sea
The Dove Time Series:
Zooplankton – Station Z
Macro-benthos – two stations M1 and P
Main Nephrops ground
M1
PZ
Benthos Buchanan initiated in
1971-72 Two stations remain
from an extensive grid 6 and 12 miles offshore 50 and 70 m deep M1 sampled March and
September P sampled March
Benthos – M1 At M1 the first decade
showed stable biennial cycle.
Buchanan interpreted thisas evidence of density dependence (?food limitation).
Broke down in 1981. From 1981-91 correlation
of benthic abundance with phytoplanktonproductivity two years previous (r2=55%) [whole series r2~33%]
Benthos Station P
0
1000
2000
3000
4000
5000
6000
1971
1974
1977
1980
1983
1986
1989
1992
1995
0
5000
10000
15000
20000
25000P Swept area
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1000
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6000
1971
1974
1977
1980
1983
1986
1989
1992
1995
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15000
20000
25000P Swept area Station P tracks phytoplankton until fishing increases in the 1980’s then declines.
Little year to year variation in species composition at Stn M1 (1986 decreased abundance of many taxa)
Stn P the same until mid 1980’s when fishing increased and inter-annual variability increased. 60
70
80
90
100
1971
1974
1977
1980
1983
1986
1989
1992
1995
Stn P Stn M1
60
70
80
90
100
1971
1974
1977
1980
1983
1986
1989
1992
1995
Stn P Stn M1%
Sim
ilar
ity
M1- 35 years of “natural” variation
Since September 1972 Have missed 3 September (1987,1991,
2002) and 1 March (1998) sampling 516 taxa recorded Genera richness: Sept: mean 105 (70-129)
Mar: mean 94 (63-124) Abundance: Sept: mean 605 (224-1310)
(per grab) Mar: mean 380 (104-720)
Some biology
Worms dominate,
with brittlestars, burrowing urchins and
clams (bivalve molluscs)
Levinsenia gracilis
Prionospio
ThyasiraAmphiura
After 35 years: Top genera
Meanindiv. m2
1 Prionospio 495.11 10.09%
2 Levinsenia gracilis 257.79 5.26%
3 Chaetozone setosa 198.19 4.04%
4 Amphiura 193.54 3.95%
5 Thyasira 191.03 3.89%
6 Abra 186.98 3.81%
7 Mysella bidentata 158.62 3.23%
8 Phoronis muelleri 153.67 3.13%
9 Pholoe 150.86 3.08%
10 Nuculoma tenuis 140.81 2.87%
TOTAL 4906.64 43.35%
Total Abundance – altered variability and
mean?
Tota
l N
YearMonth
200520021999199619931990198719841981197819751972SepSepSepSepSepSepSepSepSepSepSepSep
14000
12000
10000
8000
6000
4000
2000
0
Time Series Plot of Total N
Total abundance – seasonal signal
Data
YearMonth
200520021999199619931990198719841981197819751972SepSepSepSepSepSepSepSepSepSepSepSep
12000
8000
4000
0
Sea
s. A
dj. D
ata
YearMonth
200520021999199619931990198719841981197819751972SepSepSepSepSepSepSepSepSepSepSepSep
12000
8000
4000
0
Component Analysis for Fit NAdditive Model
Original Data
Seasonally Adjusted Data
Genera Richness – A shifted baseline
Genera
ric
hness
S
YearMonth
200520021999199619931990198719841981197819751972SepSepSepSepSepSepSepSepSepSepSepSep
130
120
110
100
90
80
70
60
Time Series Plot of Genera richness S
Genera Richness – seasonal signal
Data
YearMonth
200520021999199619931990198719841981197819751972SepSepSepSepSepSepSepSepSepSepSepSep
120
100
80
60
Seas.
Adj. D
ata
YearMonth
200520021999199619931990198719841981197819751972SepSepSepSepSepSepSepSepSepSepSepSep
120
100
80
60
Component Analysis for Fit gen SAdditive Model
Original Data
Seasonally Adjusted Data
Changes in time No significant change in total abundance
over time nor between decades Indication of altered variability and multi-
annual shifts
Significant change (ANOVA p<0.001) in genera richness, significantly higher in the 1990s and 2000s.
Global Climate Change
•Clear evidence of warming
•Rate of change is increasing
•Kicks off in late 1970s
•Clear evidence of warming
•Rate of change is increasing
•Kicks off in late 1970s
Climatic variation: Winter NAO
Year
Win
ter
NA
O
2002199719921987198219771972
5.0
2.5
0.0
-2.5
-5.0
Time Series Plot of Winter NAO
Year
Data
2002199719921987198219771972
3
2
1
0
-1
-2
-3
Variable
Std Gen Rich
Std NAOStd Abun
Time Series Plot of Std NAO, Std Abun, Std Gen Rich
Time Series – Std NAO, Abundance and Richness
(genera)
September
Year
Data
2002199719921987198219771972
3
2
1
0
-1
-2
-3
Variable
Std Gen Rich
Std NAOStd Abun
Time Series Plot of Std NAO, Std Abun, Std Gen Rich
Time Series – Std NAO, Abundance and Richness
(genera)
March
Climate Variation – A driver?Winter NAO and
March AbundanceMarch Genera richnessSept. AbundanceSept. Genera richness
No relationship with any variable (<5% variance explained)
Biological detail
Top 2 taxaData
YearMonth
200520021999199619931990198719841981197819751972SepSepSepSepSepSepSepSepSepSepSepSep
2000
1500
1000
500
0
VariablePrionospio allLevinsenia gracilis
Time Series Plot of Prionospio all, Levinsenia gracilis
Not synchronisedNot synchronised
Total Abundance
Variation in the abundance of the polychaete Levinsenia (rank 2) accounts for over 31% of the variation in the total abundance
A multiple regression of Levinsenia and the brittlestars Amphiura (rank 4) together accounts for over 50% of the variation in the total abundance
Tota
l N
YearMonth
200520021999199619931990198719841981197819751972SepSepSepSepSepSepSepSepSepSepSepSep
14000
12000
10000
8000
6000
4000
2000
0
Time Series Plot of Total N
Genera richness
Total abundance explains around 28% of the variation in Genera Richness
35% with a quadratic fitted to logged data
Amphiura abundance explains 11% of the variation in genera richness
Total N
Genera
ric
hness
S
14000120001000080006000400020000
130
120
110
100
90
80
70
60
Scatterplot of Genera richness S vs Total N
Total N
Genera
ric
hness
S
14000120001000080006000400020000
130
120
110
100
90
80
70
60
S 0.0544469R-Sq 36.5%R-Sq(adj) 34.4%
Fitted Line Plotlogten(Genera richness S) = - 0.402 + 1.139 logten(Total N)
- 0.1317 logten(Total N)**2
MDS ordination top genera
Transform: Log(X+1)Resemblance: S17 Bray Curtis similarity
Month93
19721973
1973
1974
1974
1975
1975
19761976
1977
1977
1978
1978
1979
1979
1980
1980
1981
1981
1982
1982
1983
1983
1984
1984
1985
1985
1986
1986
19871988
19881989
1989
1990
1990
1991
1992
1992
1993
1993
1994
1994
1995
1995
1996
1996
1997
19971998
1999
1999
2000
2000
2001
2001
2002
2003
2003
20042004
2005
2005
2D Stress: 0.16
March – Decadal progression
Transform: Log(X+1)Resemblance: S17 Bray Curtis similarity
Decade7890
1973 1974
1975
1976
1977
1978
1979
1980
1981198219831984
1985
1986
19871988
1989
1990
1991
199219931994
199519961997
199920002001
2002
2003
2004
2005
2D Stress: 0.14
September – Decadal progression
Transform: Log(X+1)Resemblance: S17 Bray Curtis similarity
Decade7890
1972
19731974
1975
19761977
1978
1979 19801981
1982
1983
1984
1985
1986
1988
19891990
1992
1993
1994
1995
199619971998
1999
2000
2001
2003
2004
2005
2D Stress: 0.14
Shifts in community structure
March shows shifts in: 1985-1986, 1990-1991, 1991-1992 1998-1999, 1999-2000
September shows shifts in: 1984-1985 1998-1999, 1999-2000
Something happened between Sept 1984 and March 1985
And1999 was an odd year (especially September)
CPR silk greenness – index of phytoplankton
Mean G
reenness
YearMonth
2000199119821973196419551946JanJanJanJanJanJanJan
6
5
4
3
2
1
0
Time Series Plot of Mean Greenness
Food as a driver?CPR greenness (2 years previous) and
Total (March) abundance1970s ns r2=6%1980s Signif. r2=24%1990s ns r2=<1%
Total Series: March Abundance – ns r2= 5% March Genera richness - Signif. r2=15% Sept. Abundance - ns Sept. Genera richness - Signif. r2=17.7%
Drivers of Biodiversity March – Greenness and Total Abundance
explain over 25% of Genera Richness
Sept – Greenness and Total Abundance explain over 40% of Genera Richness
35 years of study shows.. Decadal scale variation in total abundance,
species richness and community composition No trend in abundance i.e. due to warming
or eutrophication ‘Trend’ in community composition and
hence deliver of ecological functions Indication of importance of climatic drivers
(variation) and food supply in setting limits on total abundance and patterns of richness
Decadal scale variation in total abundance, species richness and community composition
No trend in abundance i.e. due to warming or eutrophication
‘Trend’ in community composition and hence deliver of ecological functions
Indication of importance of climatic drivers (variation) and food supply in setting limits on total abundance and patterns of richness
Take home message 10 taxa account for over 40% of the
individuals recorded Richness and total abundance tend to
change together: Richness has increased over time
Climatic variation directly and the variation in food supply (which is influenced by climate) are important drivers
Our understanding of this system continues to develop as the series lengthens
And where next?
We continue, in conjunction with Newcastle University, to extend the time series
We have also, in 2006, initiated benthic sampling twice a year at two of the Coastal Observatory stations
Acknowledgements For initiating the series Jack Buchanan
and for collecting the data: various PhD students and Peter Garwood, masters and crew of the RV Bernicia
For funding it at various times: DEFRA (DoEnv, DETR), NERC, University of Newcastle
For intellectual input: Leonie Robinson, Robin Clark, Kirsty Nicholas.