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Multimodel inference to quantify the relative importance of abiotic factors in the population dynamics of marine zooplankton

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Abstract
The effect of multiple stressors on marine ecosystems remains poorly understood and most of the knowledge available is related to phytoplankton. To partly address this knowledge gap, we tested if combining multimodel inference with generalized additive modelling could quantify the relative contribution of environmental variables on the population dynamics of a zooplankton species in the Belgian part of the North Sea. Hence, we have quantified the relative contribution of oceanographic variables (e.g. water temperature, salinity, nutrient concentrations, and chlorophyll a concentrations) and anthropogenic chemicals (i.e. polychlorinated biphenyls) to the density of Acartia clausi. We found that models with water temperature and chlorophyll a concentration explained ca. 73% of the population density of the marine copepod. Multimodel inference in combination with regression-based models are a generic way to disentangle and quantify multiple stressor-induced changes in marine ecosystems. Future-oriented simulations of copepod densities suggested increased copepod densities under predicted environmental changes.
Keywords
Environmental modelling, Multiple stressors, Pollution data, Zooplankton, NORTH-SEA, MODEL SELECTION, ACARTIA-CLAUSI, PHYTOPLANKTON DYNAMICS, ORGANIC POLLUTANTS, OCEAN SALINITIES, COASTAL WATERS, PAST CENTURY, GLOBAL OCEAN, PLANKTON

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Chicago
Everaert, Gert, Yana Deschutter, Marleen De Troch, Colin Janssen, and Karel De Schamphelaere. 2018. “Multimodel Inference to Quantify the Relative Importance of Abiotic Factors in the Population Dynamics of Marine Zooplankton.” Journal of Marine Systems 181: 91–98.
APA
Everaert, Gert, Deschutter, Y., De Troch, M., Janssen, C., & De Schamphelaere, K. (2018). Multimodel inference to quantify the relative importance of abiotic factors in the population dynamics of marine zooplankton. JOURNAL OF MARINE SYSTEMS, 181, 91–98.
Vancouver
1.
Everaert G, Deschutter Y, De Troch M, Janssen C, De Schamphelaere K. Multimodel inference to quantify the relative importance of abiotic factors in the population dynamics of marine zooplankton. JOURNAL OF MARINE SYSTEMS. 2018;181:91–8.
MLA
Everaert, Gert, Yana Deschutter, Marleen De Troch, et al. “Multimodel Inference to Quantify the Relative Importance of Abiotic Factors in the Population Dynamics of Marine Zooplankton.” JOURNAL OF MARINE SYSTEMS 181 (2018): 91–98. Print.
@article{8558628,
  abstract     = {The effect of multiple stressors on marine ecosystems remains poorly understood and most of the knowledge available is related to phytoplankton. To partly address this knowledge gap, we tested if combining multimodel inference with generalized additive modelling could quantify the relative contribution of environmental variables on the population dynamics of a zooplankton species in the Belgian part of the North Sea. Hence, we have quantified the relative contribution of oceanographic variables (e.g. water temperature, salinity, nutrient concentrations, and chlorophyll a concentrations) and anthropogenic chemicals (i.e. polychlorinated biphenyls) to the density of Acartia clausi. We found that models with water temperature and chlorophyll a concentration explained ca. 73\% of the population density of the marine copepod. Multimodel inference in combination with regression-based models are a generic way to disentangle and quantify multiple stressor-induced changes in marine ecosystems. Future-oriented simulations of copepod densities suggested increased copepod densities under predicted environmental changes.},
  author       = {Everaert, Gert and Deschutter, Yana and De Troch, Marleen and Janssen, Colin and De Schamphelaere, Karel},
  issn         = {0924-7963},
  journal      = {JOURNAL OF MARINE SYSTEMS},
  keyword      = {Environmental modelling,Multiple stressors,Pollution data,Zooplankton,NORTH-SEA,MODEL SELECTION,ACARTIA-CLAUSI,PHYTOPLANKTON DYNAMICS,ORGANIC POLLUTANTS,OCEAN SALINITIES,COASTAL WATERS,PAST CENTURY,GLOBAL OCEAN,PLANKTON},
  language     = {eng},
  pages        = {91--98},
  title        = {Multimodel inference to quantify the relative importance of abiotic factors in the population dynamics of marine zooplankton},
  url          = {http://dx.doi.org/10.1016/j.jmarsys.2018.02.009},
  volume       = {181},
  year         = {2018},
}

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