Low-frequency variability in North Sea and Baltic Sea identified through simulations with the 3-D coupled physical-biogeochemical model ECOSMO

被引:23
作者
Daewel, Ute [1 ]
Schrum, Corinna [1 ,2 ,3 ]
机构
[1] Helmholtz Ctr Geesthacht, Inst Coastal Res, Max Planck Str 1, D-21502 Geesthacht, Germany
[2] Univ Bergen, Geophys Inst, N-5007 Bergen, Norway
[3] Hjort Ctr Marine Ecosyst Dynam, Allegaten 41, N-5007 Bergen, Norway
关键词
LONG-TERM DYNAMICS; REGIME SHIFTS; ECOSYSTEM SERVICES; CLIMATE; OCEAN; OSCILLATION; VALIDATION; PLANKTON; FLOWS; COD;
D O I
10.5194/esd-8-801-2017
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Here we present results from a long-term model simulation of the 3-D coupled ecosystem model ECOSMO II for a North Sea and Baltic Sea set-up. The model allows both multi-decadal hindcast simulation of the marine system and specific process studies under controlled environmental conditions. Model results have been analysed with respect to long-term multi-decadal variability in both physical and biological parameters with the help of empirical orthogonal function (EOF) analysis. The analysis of a 61-year (1948-2008) hindcast reveals a quasi-decadal variation in salinity, temperature and current fields in the North Sea in addition to singular events of major changes during restricted time frames. These changes in hydrodynamic variables were found to be associated with changes in ecosystem productivity that are temporally aligned with the timing of reported regime shifts in the areas. Our results clearly indicate that for analysing ecosystem productivity, spatially explicit methods are indispensable. Especially in the North Sea, a correlation analysis between atmospheric forcing and primary production (PP) reveals significant correlations between PP and the North Atlantic Oscillation (NAO) and wind forcing for the central part of the region, while the Atlantic Multi-decadal Oscillation (AMO) and air temperature are correlated to long-term changes in PP in the southern North Sea frontal areas. Since correlations cannot serve to identify causal relationship, we performed scenario model runs perturbing the temporal variability in forcing condition to emphasize specifically the role of solar radiation, wind and eutrophication. The results revealed that, although all parameters are relevant for the magnitude of PP in the North Sea and Baltic Sea, the dominant impact on long-term variability and major shifts in ecosystem productivity was introduced by modulations of the wind fields.
引用
收藏
页码:801 / 815
页数:15
相关论文
共 47 条
[11]   The predictive potential of early life stage individual-based models (IBMs): an example for Atlantic cod Gadus morhua in the North Sea [J].
Daewel, Ute ;
Schrum, Corinna ;
Gupta, Alok Kumar .
MARINE ECOLOGY PROGRESS SERIES, 2015, 534 :199-219
[12]   Predation control of zooplankton dynamics: a review of observations and models [J].
Daewel, Ute ;
Hjollo, Solfrid Saetre ;
Huret, Martin ;
Ji, Rubao ;
Maar, Marie ;
Niiranen, Susa ;
Travers-Trolet, Morgane ;
Peck, Myron A. ;
van de Wolfshaar, Karen E. .
ICES JOURNAL OF MARINE SCIENCE, 2014, 71 (02) :254-271
[13]   Simulating long-term dynamics of the coupled North Sea and Baltic Sea ecosystem with ECOSMO II: Model description and validation [J].
Daewel, Ute ;
Schrum, Corinna .
JOURNAL OF MARINE SYSTEMS, 2013, 119 :30-49
[14]   Long-term hydrographic variation in the Skagerrak based on the section Torungen-Hirtshals [J].
Danielssen, DS ;
Svendsen, E ;
Ostrowski, M .
ICES JOURNAL OF MARINE SCIENCE, 1996, 53 (06) :917-925
[15]   Detecting regime shifts in the ocean: data considerations [J].
deYoung, B ;
Harris, R ;
Alheit, J ;
Beaugrand, G ;
Mantua, N ;
Shannon, L .
PROGRESS IN OCEANOGRAPHY, 2004, 60 (2-4) :143-164
[16]   Regime shifts in North Sea and Baltic Sea: A comparison [J].
Dippner, Joachim W. ;
Moeller, Caroline ;
Hanninen, Jari .
JOURNAL OF MARINE SYSTEMS, 2012, 105 :115-122
[17]   Ocean climate anomalies and the ecology of the North Sea [J].
Edwards, M ;
Beaugrand, G ;
Reid, PC ;
Rowden, AA ;
Jones, MB .
MARINE ECOLOGY PROGRESS SERIES, 2002, 239 :1-10
[18]   The Atlantic multidecadal oscillation and its relation to rainfall and river flows in the continental US [J].
Enfield, DB ;
Mestas-Nuñez, AM ;
Trimble, PJ .
GEOPHYSICAL RESEARCH LETTERS, 2001, 28 (10) :2077-2080
[19]   The ups and downs of trophic control in continental shelf ecosystems [J].
Frank, Kenneth T. ;
Petrie, Brian ;
Shackell, Nancy L. .
TRENDS IN ECOLOGY & EVOLUTION, 2007, 22 (05) :236-242
[20]   High resolution schemes for hyperbolic conservation laws (Reprinted from the Journal of Computational Physics, vol 49, pg 357-393, 1983) [J].
Harten, A .
JOURNAL OF COMPUTATIONAL PHYSICS, 1997, 135 (02) :260-278