Effects of hunting, fishing and climate change on the Hudson Bay marine ecosystem: I. Re-creating past changes 1970–2009
An ecosystem model was created for the Hudson Bay region, Canada, for 1970–2009, aiming to identify ecosystem linkages while bringing together research from diverse sources. The model presented here in detail includes 40 functional groups. Using the Ecopath with Ecosim (EwE) modelling framework we a...
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ftrepec:oai:RePEc:eee:ecomod:v:264:y:2013:i:c:p:130-142 2024-04-14T08:08:17+00:00 Effects of hunting, fishing and climate change on the Hudson Bay marine ecosystem: I. Re-creating past changes 1970–2009 Hoover, Carie Pitcher, Tony Christensen, Villy http://www.sciencedirect.com/science/article/pii/S0304380013000859 unknown http://www.sciencedirect.com/science/article/pii/S0304380013000859 article ftrepec 2024-03-19T10:30:21Z An ecosystem model was created for the Hudson Bay region, Canada, for 1970–2009, aiming to identify ecosystem linkages while bringing together research from diverse sources. The model presented here in detail includes 40 functional groups. Using the Ecopath with Ecosim (EwE) modelling framework we are able to provide estimates for previously unknown parameters such as the biomass of fish species. In addition to providing a comprehensive overview of the trophic dynamics within the system, temporal simulations mimic the changes known to occur in the region. The model is fitted to catch data for the Hudson Bay region, along with environmental drivers (sea surface temperature and ice cover). Declines in sea ice and increases in the spring bloom facilitate a shift from benthic to pelagic pathways in lower trophic levels of the model. Polar bears, bearded seals and eastern Hudson Bay belugas demonstrate the greatest declines due to hunting mortality. Additional model scenarios testing the model sensitivity to hunting and environmental pressures indicate higher trophic level organisms (marine mammals) are more responsive to hunting pressures, while lower trophic levels (benthos, zooplankton) are primarily influenced by climate drivers. While marine mammals are the most well studied, the region lacks comprehensive assessments on fish and other mid trophic level organisms. This model captures many patterns present in the system, while identifying gaps in existing data for future research and provides the first step for future research simulating climate change and its impacts on the Hudson Bay ecosystem. Ecopath; Ecosystem modelling; Harvest; Climate change; Arctic ecosystems; Cumulative impacts; Article in Journal/Newspaper Arctic Beluga* Climate change Hudson Bay Sea ice Zooplankton RePEc (Research Papers in Economics) Arctic Hudson Bay Canada Hudson |
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RePEc (Research Papers in Economics) |
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description |
An ecosystem model was created for the Hudson Bay region, Canada, for 1970–2009, aiming to identify ecosystem linkages while bringing together research from diverse sources. The model presented here in detail includes 40 functional groups. Using the Ecopath with Ecosim (EwE) modelling framework we are able to provide estimates for previously unknown parameters such as the biomass of fish species. In addition to providing a comprehensive overview of the trophic dynamics within the system, temporal simulations mimic the changes known to occur in the region. The model is fitted to catch data for the Hudson Bay region, along with environmental drivers (sea surface temperature and ice cover). Declines in sea ice and increases in the spring bloom facilitate a shift from benthic to pelagic pathways in lower trophic levels of the model. Polar bears, bearded seals and eastern Hudson Bay belugas demonstrate the greatest declines due to hunting mortality. Additional model scenarios testing the model sensitivity to hunting and environmental pressures indicate higher trophic level organisms (marine mammals) are more responsive to hunting pressures, while lower trophic levels (benthos, zooplankton) are primarily influenced by climate drivers. While marine mammals are the most well studied, the region lacks comprehensive assessments on fish and other mid trophic level organisms. This model captures many patterns present in the system, while identifying gaps in existing data for future research and provides the first step for future research simulating climate change and its impacts on the Hudson Bay ecosystem. Ecopath; Ecosystem modelling; Harvest; Climate change; Arctic ecosystems; Cumulative impacts; |
format |
Article in Journal/Newspaper |
author |
Hoover, Carie Pitcher, Tony Christensen, Villy |
spellingShingle |
Hoover, Carie Pitcher, Tony Christensen, Villy Effects of hunting, fishing and climate change on the Hudson Bay marine ecosystem: I. Re-creating past changes 1970–2009 |
author_facet |
Hoover, Carie Pitcher, Tony Christensen, Villy |
author_sort |
Hoover, Carie |
title |
Effects of hunting, fishing and climate change on the Hudson Bay marine ecosystem: I. Re-creating past changes 1970–2009 |
title_short |
Effects of hunting, fishing and climate change on the Hudson Bay marine ecosystem: I. Re-creating past changes 1970–2009 |
title_full |
Effects of hunting, fishing and climate change on the Hudson Bay marine ecosystem: I. Re-creating past changes 1970–2009 |
title_fullStr |
Effects of hunting, fishing and climate change on the Hudson Bay marine ecosystem: I. Re-creating past changes 1970–2009 |
title_full_unstemmed |
Effects of hunting, fishing and climate change on the Hudson Bay marine ecosystem: I. Re-creating past changes 1970–2009 |
title_sort |
effects of hunting, fishing and climate change on the hudson bay marine ecosystem: i. re-creating past changes 1970–2009 |
url |
http://www.sciencedirect.com/science/article/pii/S0304380013000859 |
geographic |
Arctic Hudson Bay Canada Hudson |
geographic_facet |
Arctic Hudson Bay Canada Hudson |
genre |
Arctic Beluga* Climate change Hudson Bay Sea ice Zooplankton |
genre_facet |
Arctic Beluga* Climate change Hudson Bay Sea ice Zooplankton |
op_relation |
http://www.sciencedirect.com/science/article/pii/S0304380013000859 |
_version_ |
1796305721712705536 |