Global sensitivity analysis of an end-to-end marine ecosystem model of the North Sea: Factors affecting the biomass of fish and benthos

Comprehensive analysis of parameter and driver sensitivity is key to establishing the credibility of models representing complex systems. This is especially so for models of natural systems where experimental manipulation of the real-world to provide controlled validation data is not possible. End-t...

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Published in:Ecological Modelling
Main Authors: Morris, David J., Speir, Douglas C., Cameron, Angus I., Heath, Michael R.
Format: Article in Journal/Newspaper
Language:unknown
Published: Zenodo 2014
Subjects:
Online Access:https://doi.org/10.1016/j.ecolmodel.2013.11.019
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spelling ftzenodo:oai:zenodo.org:9909 2024-09-15T18:28:26+00:00 Global sensitivity analysis of an end-to-end marine ecosystem model of the North Sea: Factors affecting the biomass of fish and benthos Morris, David J. Speir, Douglas C. Cameron, Angus I. Heath, Michael R. 2014-02-10 https://doi.org/10.1016/j.ecolmodel.2013.11.019 unknown Zenodo https://zenodo.org/communities/euro-basin https://zenodo.org/communities/eu https://doi.org/10.1016/j.ecolmodel.2013.11.019 oai:zenodo.org:9909 info:eu-repo/semantics/openAccess Other (Attribution) Ecological modelling, 273, 251-263, (2014-02-10) Climate change Ocean acidification Global sensitivity analysis Morris sensitivity method Sobol sensitivity method North Sea info:eu-repo/semantics/article 2014 ftzenodo https://doi.org/10.1016/j.ecolmodel.2013.11.019 2024-07-26T21:21:11Z Comprehensive analysis of parameter and driver sensitivity is key to establishing the credibility of models representing complex systems. This is especially so for models of natural systems where experimental manipulation of the real-world to provide controlled validation data is not possible. End-to-end ecosystem models (nutrients to birds and mammals) of marine ecosystems fall into this category with applications for evaluating the effects of climate change and fishing on nutrient fluxes and the abundances of flora and fauna. Here we present results of both ‘one-at-a-time’ (OAT) and variance based global sensitivity analyses (GSA) of the fish and fishery aspects of StrathE2E, an end-to-end ecosystem model of the North Sea. The sensitivity of the model was examined with respect to internal biological parameters, and external drivers related to climate and human activity. The OAT Morris method was first used to screen for factors most influential on model outputs. The Sobol GSA method was then used to calculate quantitative sensitivity indices. The results indicated that the fish and shellfish components of the model (demersal and pelagic fish, filter/deposit and scavenge/carnivore feeding benthos) were influenced by different sets of factors. Harvesting rates were highly influential on demersal and pelagic fish biomasses. Suspension/deposit feeding benthos were directly sensitive to changes in temperature, while the temperature acted indirectly on pelagic fish through the connectivity between model components of the food web. Biomass conversion efficiency was the most important factor for scavenge/carnivorous feeding benthos. The results indicate the primacy of fishing as the most important process affecting total fish biomass, together with varying responses to environmental factors which may be relevant in the context of climate change. The non-linear responses and parameter interactions identified by the analysis also highlight the necessity to use global rather than local methods for the sensitivity ... Article in Journal/Newspaper Ocean acidification Zenodo Ecological Modelling 273 251 263
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic Climate change
Ocean acidification
Global sensitivity analysis
Morris sensitivity method
Sobol sensitivity method
North Sea
spellingShingle Climate change
Ocean acidification
Global sensitivity analysis
Morris sensitivity method
Sobol sensitivity method
North Sea
Morris, David J.
Speir, Douglas C.
Cameron, Angus I.
Heath, Michael R.
Global sensitivity analysis of an end-to-end marine ecosystem model of the North Sea: Factors affecting the biomass of fish and benthos
topic_facet Climate change
Ocean acidification
Global sensitivity analysis
Morris sensitivity method
Sobol sensitivity method
North Sea
description Comprehensive analysis of parameter and driver sensitivity is key to establishing the credibility of models representing complex systems. This is especially so for models of natural systems where experimental manipulation of the real-world to provide controlled validation data is not possible. End-to-end ecosystem models (nutrients to birds and mammals) of marine ecosystems fall into this category with applications for evaluating the effects of climate change and fishing on nutrient fluxes and the abundances of flora and fauna. Here we present results of both ‘one-at-a-time’ (OAT) and variance based global sensitivity analyses (GSA) of the fish and fishery aspects of StrathE2E, an end-to-end ecosystem model of the North Sea. The sensitivity of the model was examined with respect to internal biological parameters, and external drivers related to climate and human activity. The OAT Morris method was first used to screen for factors most influential on model outputs. The Sobol GSA method was then used to calculate quantitative sensitivity indices. The results indicated that the fish and shellfish components of the model (demersal and pelagic fish, filter/deposit and scavenge/carnivore feeding benthos) were influenced by different sets of factors. Harvesting rates were highly influential on demersal and pelagic fish biomasses. Suspension/deposit feeding benthos were directly sensitive to changes in temperature, while the temperature acted indirectly on pelagic fish through the connectivity between model components of the food web. Biomass conversion efficiency was the most important factor for scavenge/carnivorous feeding benthos. The results indicate the primacy of fishing as the most important process affecting total fish biomass, together with varying responses to environmental factors which may be relevant in the context of climate change. The non-linear responses and parameter interactions identified by the analysis also highlight the necessity to use global rather than local methods for the sensitivity ...
format Article in Journal/Newspaper
author Morris, David J.
Speir, Douglas C.
Cameron, Angus I.
Heath, Michael R.
author_facet Morris, David J.
Speir, Douglas C.
Cameron, Angus I.
Heath, Michael R.
author_sort Morris, David J.
title Global sensitivity analysis of an end-to-end marine ecosystem model of the North Sea: Factors affecting the biomass of fish and benthos
title_short Global sensitivity analysis of an end-to-end marine ecosystem model of the North Sea: Factors affecting the biomass of fish and benthos
title_full Global sensitivity analysis of an end-to-end marine ecosystem model of the North Sea: Factors affecting the biomass of fish and benthos
title_fullStr Global sensitivity analysis of an end-to-end marine ecosystem model of the North Sea: Factors affecting the biomass of fish and benthos
title_full_unstemmed Global sensitivity analysis of an end-to-end marine ecosystem model of the North Sea: Factors affecting the biomass of fish and benthos
title_sort global sensitivity analysis of an end-to-end marine ecosystem model of the north sea: factors affecting the biomass of fish and benthos
publisher Zenodo
publishDate 2014
url https://doi.org/10.1016/j.ecolmodel.2013.11.019
genre Ocean acidification
genre_facet Ocean acidification
op_source Ecological modelling, 273, 251-263, (2014-02-10)
op_relation https://zenodo.org/communities/euro-basin
https://zenodo.org/communities/eu
https://doi.org/10.1016/j.ecolmodel.2013.11.019
oai:zenodo.org:9909
op_rights info:eu-repo/semantics/openAccess
Other (Attribution)
op_doi https://doi.org/10.1016/j.ecolmodel.2013.11.019
container_title Ecological Modelling
container_volume 273
container_start_page 251
op_container_end_page 263
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