Development and simulation testing for a new approach to density dependence in species distribution models
Abstract Density dependence is included in many population–dynamics models, but few options exist within species distribution models (SDMs). One option for density-dependence in SDMs proceeds by including an independent time-series of population abundance as covariate using a spatially varying coeff...
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2021
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Online Access: | http://dx.doi.org/10.1093/icesjms/fsab247 https://academic.oup.com/icesjms/article-pdf/79/1/117/42754313/fsab247.pdf |
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croxfordunivpr:10.1093/icesjms/fsab247 2024-04-07T07:51:30+00:00 Development and simulation testing for a new approach to density dependence in species distribution models Thorson, James T Bartolino, Valerio 2021 http://dx.doi.org/10.1093/icesjms/fsab247 https://academic.oup.com/icesjms/article-pdf/79/1/117/42754313/fsab247.pdf en eng Oxford University Press (OUP) ICES Journal of Marine Science volume 79, issue 1, page 117-128 ISSN 1054-3139 1095-9289 Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography journal-article 2021 croxfordunivpr https://doi.org/10.1093/icesjms/fsab247 2024-03-08T03:10:30Z Abstract Density dependence is included in many population–dynamics models, but few options exist within species distribution models (SDMs). One option for density-dependence in SDMs proceeds by including an independent time-series of population abundance as covariate using a spatially varying coefficient (SVC). We extend this via three alternative approaches that replace the independent time-series with information available within the SDM. We recommend the “intermediate complexity” approach that estimates a SVC responding to median abundance in each time; this SVC indicates whether a given location has a smaller- or greater-than-average sensitivity to changes in median abundance. We next develop a reaction–advection–diffusive simulation model, wherein individuals avoid habitats that exceed a threshold in local density. This movement model results in an estimated SVC that is negatively correlated with the average spatial distribution. Finally, we show that a SVC can be identified using bottom trawl data for four species in the eastern Bering Sea from 1982 to 2019. We conclude that the common “basin-model” for animal movement results in an ecological teleconnection, wherein population depletion or recovery at one locations will affect resulting dynamics at geographically distant habitats, and that this form of density dependence can be detected using SDMs. Article in Journal/Newspaper Bering Sea Oxford University Press Bering Sea ICES Journal of Marine Science |
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Open Polar |
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Oxford University Press |
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croxfordunivpr |
language |
English |
topic |
Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography |
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Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography Thorson, James T Development and simulation testing for a new approach to density dependence in species distribution models |
topic_facet |
Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography |
description |
Abstract Density dependence is included in many population–dynamics models, but few options exist within species distribution models (SDMs). One option for density-dependence in SDMs proceeds by including an independent time-series of population abundance as covariate using a spatially varying coefficient (SVC). We extend this via three alternative approaches that replace the independent time-series with information available within the SDM. We recommend the “intermediate complexity” approach that estimates a SVC responding to median abundance in each time; this SVC indicates whether a given location has a smaller- or greater-than-average sensitivity to changes in median abundance. We next develop a reaction–advection–diffusive simulation model, wherein individuals avoid habitats that exceed a threshold in local density. This movement model results in an estimated SVC that is negatively correlated with the average spatial distribution. Finally, we show that a SVC can be identified using bottom trawl data for four species in the eastern Bering Sea from 1982 to 2019. We conclude that the common “basin-model” for animal movement results in an ecological teleconnection, wherein population depletion or recovery at one locations will affect resulting dynamics at geographically distant habitats, and that this form of density dependence can be detected using SDMs. |
author2 |
Bartolino, Valerio |
format |
Article in Journal/Newspaper |
author |
Thorson, James T |
author_facet |
Thorson, James T |
author_sort |
Thorson, James T |
title |
Development and simulation testing for a new approach to density dependence in species distribution models |
title_short |
Development and simulation testing for a new approach to density dependence in species distribution models |
title_full |
Development and simulation testing for a new approach to density dependence in species distribution models |
title_fullStr |
Development and simulation testing for a new approach to density dependence in species distribution models |
title_full_unstemmed |
Development and simulation testing for a new approach to density dependence in species distribution models |
title_sort |
development and simulation testing for a new approach to density dependence in species distribution models |
publisher |
Oxford University Press (OUP) |
publishDate |
2021 |
url |
http://dx.doi.org/10.1093/icesjms/fsab247 https://academic.oup.com/icesjms/article-pdf/79/1/117/42754313/fsab247.pdf |
geographic |
Bering Sea |
geographic_facet |
Bering Sea |
genre |
Bering Sea |
genre_facet |
Bering Sea |
op_source |
ICES Journal of Marine Science volume 79, issue 1, page 117-128 ISSN 1054-3139 1095-9289 |
op_doi |
https://doi.org/10.1093/icesjms/fsab247 |
container_title |
ICES Journal of Marine Science |
_version_ |
1795666474698801152 |