Flexible spatio-temporal modelling of occupancy using GAMs: A case study with large carnivores.
This is my speed talk for the ISEC2020 conference (http://www.isec2020.org/). The occupancy state variable may be used as an ecological indicator to inform policy decisions for biodiversity conservation. In this context, occupancy models are increasingly used to investigate the occurrence of animal...
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ftdatacite:10.6084/m9.figshare.12443249 2023-05-15T18:50:27+02:00 Flexible spatio-temporal modelling of occupancy using GAMs: A case study with large carnivores. Gimenez, Olivier 2020 https://dx.doi.org/10.6084/m9.figshare.12443249 https://figshare.com/articles/Flexible_spatio-temporal_modelling_of_occupancy_using_GAMs_A_case_study_with_large_carnivores_/12443249 unknown figshare Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Ecology FOS Biological sciences Presentation MediaObject article Audiovisual 2020 ftdatacite https://doi.org/10.6084/m9.figshare.12443249 2021-11-05T12:55:41Z This is my speed talk for the ISEC2020 conference (http://www.isec2020.org/). The occupancy state variable may be used as an ecological indicator to inform policy decisions for biodiversity conservation. In this context, occupancy models are increasingly used to investigate the occurrence of animal species while accounting for imperfect detection. Temporal and spatial variation in occupancy may be captured by incorporating relevant covariates. Here, we propose a GAM-like approach for estimating and assessing trends in occupancy. Using the Nimble R package, we employ a fully Bayesian approach using Markov chain Monte Carlo simulations to estimate the model parameters. We illustrate our work by a study of the Eurasian lynx (Lynx lynx) in France, in which occupancy probabilities are expressed as nonlinear functions of time and geographical coordinates, possibly in interaction, using data from a semi-structured citizen science program. Conference Object Lynx Lynx lynx lynx DataCite Metadata Store (German National Library of Science and Technology) Gam ENVELOPE(-57.955,-57.955,-61.923,-61.923) |
institution |
Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Ecology FOS Biological sciences |
spellingShingle |
Ecology FOS Biological sciences Gimenez, Olivier Flexible spatio-temporal modelling of occupancy using GAMs: A case study with large carnivores. |
topic_facet |
Ecology FOS Biological sciences |
description |
This is my speed talk for the ISEC2020 conference (http://www.isec2020.org/). The occupancy state variable may be used as an ecological indicator to inform policy decisions for biodiversity conservation. In this context, occupancy models are increasingly used to investigate the occurrence of animal species while accounting for imperfect detection. Temporal and spatial variation in occupancy may be captured by incorporating relevant covariates. Here, we propose a GAM-like approach for estimating and assessing trends in occupancy. Using the Nimble R package, we employ a fully Bayesian approach using Markov chain Monte Carlo simulations to estimate the model parameters. We illustrate our work by a study of the Eurasian lynx (Lynx lynx) in France, in which occupancy probabilities are expressed as nonlinear functions of time and geographical coordinates, possibly in interaction, using data from a semi-structured citizen science program. |
format |
Conference Object |
author |
Gimenez, Olivier |
author_facet |
Gimenez, Olivier |
author_sort |
Gimenez, Olivier |
title |
Flexible spatio-temporal modelling of occupancy using GAMs: A case study with large carnivores. |
title_short |
Flexible spatio-temporal modelling of occupancy using GAMs: A case study with large carnivores. |
title_full |
Flexible spatio-temporal modelling of occupancy using GAMs: A case study with large carnivores. |
title_fullStr |
Flexible spatio-temporal modelling of occupancy using GAMs: A case study with large carnivores. |
title_full_unstemmed |
Flexible spatio-temporal modelling of occupancy using GAMs: A case study with large carnivores. |
title_sort |
flexible spatio-temporal modelling of occupancy using gams: a case study with large carnivores. |
publisher |
figshare |
publishDate |
2020 |
url |
https://dx.doi.org/10.6084/m9.figshare.12443249 https://figshare.com/articles/Flexible_spatio-temporal_modelling_of_occupancy_using_GAMs_A_case_study_with_large_carnivores_/12443249 |
long_lat |
ENVELOPE(-57.955,-57.955,-61.923,-61.923) |
geographic |
Gam |
geographic_facet |
Gam |
genre |
Lynx Lynx lynx lynx |
genre_facet |
Lynx Lynx lynx lynx |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.6084/m9.figshare.12443249 |
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1766244187536097280 |