Spatio‐temporal models of intermediate complexity for ecosystem assessments: A new tool for spatial fisheries management
Abstract Multispecies models are widely used to evaluate management trade‐offs arising from species interactions. However, identifying climate impacts and sensitive habitats requires integrating spatial heterogeneity and environmental impacts into multispecies models at fine spatial scales. We there...
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crwiley:10.1111/faf.12398 2024-06-23T07:45:03+00:00 Spatio‐temporal models of intermediate complexity for ecosystem assessments: A new tool for spatial fisheries management Thorson, James T. Adams, Grant Holsman, Kirstin 2019 http://dx.doi.org/10.1111/faf.12398 https://onlinelibrary.wiley.com/doi/pdf/10.1111/faf.12398 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/faf.12398 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Fish and Fisheries volume 20, issue 6, page 1083-1099 ISSN 1467-2960 1467-2979 journal-article 2019 crwiley https://doi.org/10.1111/faf.12398 2024-06-06T04:19:26Z Abstract Multispecies models are widely used to evaluate management trade‐offs arising from species interactions. However, identifying climate impacts and sensitive habitats requires integrating spatial heterogeneity and environmental impacts into multispecies models at fine spatial scales. We therefore develop a spatio‐temporal model of intermediate complexity for ecosystem assessments (a “MICE‐in‐space”), which is fitted to survey sampling data and time series of fishing mortality using maximum‐likelihood techniques. The model is implemented in the VAST R package, and it can be configured to range from purely descriptive to including ratio‐dependent interactions among species. We demonstrate this model using data for four groundfishes in the Gulf of Alaska using data from 1982 to 2015. Model selection for this case‐study shows that models with species interactions are parsimonious, although a model specifying separate density dependence without interactions also has substantial support. The AIC‐selected model estimates a significant, negative impact of Alaska pollock ( Gadus chalcogrammus , Gadidae) on productivity of other species and suggests that recent fishing mortality for Pacific cod ( G. microcephalus , Gadidae) is above the biological reference point (BRP) resulting in 40% of unfished biomass; other models show similar trends but different scales due to different BRP estimates. A simulation experiment shows that fitting a model with fewer species at a coarse spatial resolution degrades estimation performance, but that interactions and biological reference points can still be estimated accurately. We conclude that MICE‐in‐space models can simultaneously estimate fishing impacts, species trade‐offs, biological reference points and habitat quality. They are therefore suitable to forecast short‐term climate impacts, optimize survey designs and designate protected habitats. Article in Journal/Newspaper alaska pollock Alaska Wiley Online Library Gulf of Alaska Pacific Fish and Fisheries 20 6 1083 1099 |
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Wiley Online Library |
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English |
description |
Abstract Multispecies models are widely used to evaluate management trade‐offs arising from species interactions. However, identifying climate impacts and sensitive habitats requires integrating spatial heterogeneity and environmental impacts into multispecies models at fine spatial scales. We therefore develop a spatio‐temporal model of intermediate complexity for ecosystem assessments (a “MICE‐in‐space”), which is fitted to survey sampling data and time series of fishing mortality using maximum‐likelihood techniques. The model is implemented in the VAST R package, and it can be configured to range from purely descriptive to including ratio‐dependent interactions among species. We demonstrate this model using data for four groundfishes in the Gulf of Alaska using data from 1982 to 2015. Model selection for this case‐study shows that models with species interactions are parsimonious, although a model specifying separate density dependence without interactions also has substantial support. The AIC‐selected model estimates a significant, negative impact of Alaska pollock ( Gadus chalcogrammus , Gadidae) on productivity of other species and suggests that recent fishing mortality for Pacific cod ( G. microcephalus , Gadidae) is above the biological reference point (BRP) resulting in 40% of unfished biomass; other models show similar trends but different scales due to different BRP estimates. A simulation experiment shows that fitting a model with fewer species at a coarse spatial resolution degrades estimation performance, but that interactions and biological reference points can still be estimated accurately. We conclude that MICE‐in‐space models can simultaneously estimate fishing impacts, species trade‐offs, biological reference points and habitat quality. They are therefore suitable to forecast short‐term climate impacts, optimize survey designs and designate protected habitats. |
format |
Article in Journal/Newspaper |
author |
Thorson, James T. Adams, Grant Holsman, Kirstin |
spellingShingle |
Thorson, James T. Adams, Grant Holsman, Kirstin Spatio‐temporal models of intermediate complexity for ecosystem assessments: A new tool for spatial fisheries management |
author_facet |
Thorson, James T. Adams, Grant Holsman, Kirstin |
author_sort |
Thorson, James T. |
title |
Spatio‐temporal models of intermediate complexity for ecosystem assessments: A new tool for spatial fisheries management |
title_short |
Spatio‐temporal models of intermediate complexity for ecosystem assessments: A new tool for spatial fisheries management |
title_full |
Spatio‐temporal models of intermediate complexity for ecosystem assessments: A new tool for spatial fisheries management |
title_fullStr |
Spatio‐temporal models of intermediate complexity for ecosystem assessments: A new tool for spatial fisheries management |
title_full_unstemmed |
Spatio‐temporal models of intermediate complexity for ecosystem assessments: A new tool for spatial fisheries management |
title_sort |
spatio‐temporal models of intermediate complexity for ecosystem assessments: a new tool for spatial fisheries management |
publisher |
Wiley |
publishDate |
2019 |
url |
http://dx.doi.org/10.1111/faf.12398 https://onlinelibrary.wiley.com/doi/pdf/10.1111/faf.12398 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/faf.12398 |
geographic |
Gulf of Alaska Pacific |
geographic_facet |
Gulf of Alaska Pacific |
genre |
alaska pollock Alaska |
genre_facet |
alaska pollock Alaska |
op_source |
Fish and Fisheries volume 20, issue 6, page 1083-1099 ISSN 1467-2960 1467-2979 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1111/faf.12398 |
container_title |
Fish and Fisheries |
container_volume |
20 |
container_issue |
6 |
container_start_page |
1083 |
op_container_end_page |
1099 |
_version_ |
1802649953704607744 |