Assessing the sensitivity of three Alaska marine food webs to perturbations: an example of Ecosim simulations using Rpath

Ecosystem modelling is a useful tool for exploring the potential outcomes of policy options and conducting experiments that would otherwise be impractical in the real world. However, ecosystem models have been limited in their ability to engage in the management of living marine resources due in par...

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Main Authors: Whitehouse, George A., Aydin, Kerim Y.
Format: Article in Journal/Newspaper
Language:unknown
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0304380020301460
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spelling ftrepec:oai:RePEc:eee:ecomod:v:429:y:2020:i:c:s0304380020301460 2024-04-14T08:09:49+00:00 Assessing the sensitivity of three Alaska marine food webs to perturbations: an example of Ecosim simulations using Rpath Whitehouse, George A. Aydin, Kerim Y. http://www.sciencedirect.com/science/article/pii/S0304380020301460 unknown http://www.sciencedirect.com/science/article/pii/S0304380020301460 article ftrepec 2024-03-19T10:34:26Z Ecosystem modelling is a useful tool for exploring the potential outcomes of policy options and conducting experiments that would otherwise be impractical in the real world. However, ecosystem models have been limited in their ability to engage in the management of living marine resources due in part to high levels of uncertainty in model parameters and model outputs. Additionally, for multispecies or food web models, there is uncertainty about the predator-prey functional response, which can have implications for population dynamics. In this study, we evaluate the sensitivity of large marine food webs in Alaska to parameter uncertainty, including parameters that govern the predator-prey functional response. We use Rpath, an R implementation of the food web modeling program Ecopath with Ecosim (EwE), to conduct a series of mortality-based perturbations to examine the sensitivity and recovery time of higher trophic level groups in the eastern Chukchi Sea, eastern Bering Sea, and Gulf of Alaska. We use a Monte Carlo approach to generate thousands of plausible ecosystems by drawing parameter sets from the range of uncertainty around the base model parameters. We subjected the ecosystem ensembles to a series of mortality-based perturbations to identify which functional groups the higher trophic level groups are most sensitive to when their mortality was increased, whether the food webs returned to their unperturbed configurations following a perturbation, and how long it took to return to that state. In all three ecosystems, we found that the number of disrupted ensemble food webs was positively related to the biomass and the number of trophic links of the perturbed functional group, and negatively related to trophic level. The eastern Chukchi Sea was most sensitive to perturbations to benthic invertebrate groups, the eastern Bering Sea was most sensitive to shrimp and walleye pollock, and the Gulf of Alaska was most sensitive to shrimps, pelagic forage fish, and zooplankton. Recovery time to perturbations were ... Article in Journal/Newspaper Bering Sea Chukchi Chukchi Sea Alaska RePEc (Research Papers in Economics) Bering Sea Chukchi Sea Gulf of Alaska
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
description Ecosystem modelling is a useful tool for exploring the potential outcomes of policy options and conducting experiments that would otherwise be impractical in the real world. However, ecosystem models have been limited in their ability to engage in the management of living marine resources due in part to high levels of uncertainty in model parameters and model outputs. Additionally, for multispecies or food web models, there is uncertainty about the predator-prey functional response, which can have implications for population dynamics. In this study, we evaluate the sensitivity of large marine food webs in Alaska to parameter uncertainty, including parameters that govern the predator-prey functional response. We use Rpath, an R implementation of the food web modeling program Ecopath with Ecosim (EwE), to conduct a series of mortality-based perturbations to examine the sensitivity and recovery time of higher trophic level groups in the eastern Chukchi Sea, eastern Bering Sea, and Gulf of Alaska. We use a Monte Carlo approach to generate thousands of plausible ecosystems by drawing parameter sets from the range of uncertainty around the base model parameters. We subjected the ecosystem ensembles to a series of mortality-based perturbations to identify which functional groups the higher trophic level groups are most sensitive to when their mortality was increased, whether the food webs returned to their unperturbed configurations following a perturbation, and how long it took to return to that state. In all three ecosystems, we found that the number of disrupted ensemble food webs was positively related to the biomass and the number of trophic links of the perturbed functional group, and negatively related to trophic level. The eastern Chukchi Sea was most sensitive to perturbations to benthic invertebrate groups, the eastern Bering Sea was most sensitive to shrimp and walleye pollock, and the Gulf of Alaska was most sensitive to shrimps, pelagic forage fish, and zooplankton. Recovery time to perturbations were ...
format Article in Journal/Newspaper
author Whitehouse, George A.
Aydin, Kerim Y.
spellingShingle Whitehouse, George A.
Aydin, Kerim Y.
Assessing the sensitivity of three Alaska marine food webs to perturbations: an example of Ecosim simulations using Rpath
author_facet Whitehouse, George A.
Aydin, Kerim Y.
author_sort Whitehouse, George A.
title Assessing the sensitivity of three Alaska marine food webs to perturbations: an example of Ecosim simulations using Rpath
title_short Assessing the sensitivity of three Alaska marine food webs to perturbations: an example of Ecosim simulations using Rpath
title_full Assessing the sensitivity of three Alaska marine food webs to perturbations: an example of Ecosim simulations using Rpath
title_fullStr Assessing the sensitivity of three Alaska marine food webs to perturbations: an example of Ecosim simulations using Rpath
title_full_unstemmed Assessing the sensitivity of three Alaska marine food webs to perturbations: an example of Ecosim simulations using Rpath
title_sort assessing the sensitivity of three alaska marine food webs to perturbations: an example of ecosim simulations using rpath
url http://www.sciencedirect.com/science/article/pii/S0304380020301460
geographic Bering Sea
Chukchi Sea
Gulf of Alaska
geographic_facet Bering Sea
Chukchi Sea
Gulf of Alaska
genre Bering Sea
Chukchi
Chukchi Sea
Alaska
genre_facet Bering Sea
Chukchi
Chukchi Sea
Alaska
op_relation http://www.sciencedirect.com/science/article/pii/S0304380020301460
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