Integrating dead recoveries in open‐population spatial capture–recapture models
Abstract Integrating dead recoveries into capture–recapture models can improve inference on demographic parameters. But dead‐recovery data do not only inform on individual fates; they also contain information about individual locations. Open‐population spatial capture–recapture (OPSCR) has the poten...
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Online Access: | http://dx.doi.org/10.1002/ecs2.3571 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ecs2.3571 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/ecs2.3571 https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1002/ecs2.3571 |
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crwiley:10.1002/ecs2.3571 2024-09-30T14:36:07+00:00 Integrating dead recoveries in open‐population spatial capture–recapture models Dupont, P. Milleret, C. Tourani, M. Brøseth, H. Bischof, R. Naturvårdsverket Miljødirektoratet Norges Forskningsråd 2021 http://dx.doi.org/10.1002/ecs2.3571 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ecs2.3571 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/ecs2.3571 https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1002/ecs2.3571 en eng Wiley http://creativecommons.org/licenses/by/4.0/ Ecosphere volume 12, issue 7 ISSN 2150-8925 2150-8925 journal-article 2021 crwiley https://doi.org/10.1002/ecs2.3571 2024-09-05T05:04:38Z Abstract Integrating dead recoveries into capture–recapture models can improve inference on demographic parameters. But dead‐recovery data do not only inform on individual fates; they also contain information about individual locations. Open‐population spatial capture–recapture (OPSCR) has the potential to fully exploit such data. Here, we present an open‐population spatial capture–recapture–recovery model integrating the spatial information associated with dead recoveries. Using simulations, we investigate the conditions under which this extension of the OPSCR model improves inference and illustrate the approach with the analysis of a wolverine ( Gulo gulo ) dataset from Norway. Simulation results showed that the integration of dead recoveries into OPSCR boosted the precision of all demographic parameters. In addition, the integration of dead‐recovery locations boosted the precision of the inter‐annual movement parameter, which is difficult to estimate in OPSCR, by up to 40% in case of sparse data. We also detected a 139–367% increase in the probability of models reaching convergence with increasing proportion of dead recoveries when dead‐recovery information was integrated spatially, compared with a 30–107% increase when integrating dead recoveries in a non‐spatial way. The analysis of the wolverine data showed the same general pattern of improved parameter precision. Overall, our results highlight how leveraging the demographic and spatial information contained in dead‐recovery data in a spatial capture–recapture framework can improve population parameter estimation. Article in Journal/Newspaper Gulo gulo Wiley Online Library Norway Ecosphere 12 7 |
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Open Polar |
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Wiley Online Library |
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crwiley |
language |
English |
description |
Abstract Integrating dead recoveries into capture–recapture models can improve inference on demographic parameters. But dead‐recovery data do not only inform on individual fates; they also contain information about individual locations. Open‐population spatial capture–recapture (OPSCR) has the potential to fully exploit such data. Here, we present an open‐population spatial capture–recapture–recovery model integrating the spatial information associated with dead recoveries. Using simulations, we investigate the conditions under which this extension of the OPSCR model improves inference and illustrate the approach with the analysis of a wolverine ( Gulo gulo ) dataset from Norway. Simulation results showed that the integration of dead recoveries into OPSCR boosted the precision of all demographic parameters. In addition, the integration of dead‐recovery locations boosted the precision of the inter‐annual movement parameter, which is difficult to estimate in OPSCR, by up to 40% in case of sparse data. We also detected a 139–367% increase in the probability of models reaching convergence with increasing proportion of dead recoveries when dead‐recovery information was integrated spatially, compared with a 30–107% increase when integrating dead recoveries in a non‐spatial way. The analysis of the wolverine data showed the same general pattern of improved parameter precision. Overall, our results highlight how leveraging the demographic and spatial information contained in dead‐recovery data in a spatial capture–recapture framework can improve population parameter estimation. |
author2 |
Naturvårdsverket Miljødirektoratet Norges Forskningsråd |
format |
Article in Journal/Newspaper |
author |
Dupont, P. Milleret, C. Tourani, M. Brøseth, H. Bischof, R. |
spellingShingle |
Dupont, P. Milleret, C. Tourani, M. Brøseth, H. Bischof, R. Integrating dead recoveries in open‐population spatial capture–recapture models |
author_facet |
Dupont, P. Milleret, C. Tourani, M. Brøseth, H. Bischof, R. |
author_sort |
Dupont, P. |
title |
Integrating dead recoveries in open‐population spatial capture–recapture models |
title_short |
Integrating dead recoveries in open‐population spatial capture–recapture models |
title_full |
Integrating dead recoveries in open‐population spatial capture–recapture models |
title_fullStr |
Integrating dead recoveries in open‐population spatial capture–recapture models |
title_full_unstemmed |
Integrating dead recoveries in open‐population spatial capture–recapture models |
title_sort |
integrating dead recoveries in open‐population spatial capture–recapture models |
publisher |
Wiley |
publishDate |
2021 |
url |
http://dx.doi.org/10.1002/ecs2.3571 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ecs2.3571 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/ecs2.3571 https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1002/ecs2.3571 |
geographic |
Norway |
geographic_facet |
Norway |
genre |
Gulo gulo |
genre_facet |
Gulo gulo |
op_source |
Ecosphere volume 12, issue 7 ISSN 2150-8925 2150-8925 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1002/ecs2.3571 |
container_title |
Ecosphere |
container_volume |
12 |
container_issue |
7 |
_version_ |
1811639264266420224 |