Integrating animal tracking datasets at a continental scale for mapping Eurasian lynx habitat ...
Aim: The increasing availability of animal tracking datasets collected across many sites provides new opportunities to move beyond local assessments to enable detailed and consistent habitat mapping at biogeographic scales. However, integrating wildlife datasets across large areas and study sites is...
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Online Access: | https://dx.doi.org/10.5061/dryad.z8w9ghxhn https://datadryad.org/stash/dataset/doi:10.5061/dryad.z8w9ghxhn |
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ftdatacite:10.5061/dryad.z8w9ghxhn 2024-06-09T07:50:13+00:00 Integrating animal tracking datasets at a continental scale for mapping Eurasian lynx habitat ... Oeser, Julian 2023 https://dx.doi.org/10.5061/dryad.z8w9ghxhn https://datadryad.org/stash/dataset/doi:10.5061/dryad.z8w9ghxhn en eng Dryad https://dx.doi.org/10.1111/ddi.13784 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 FOS Biological sciences animal tracking Eurasian lynx habitat suitability Large-area mapping large carnivore Ecology, Evolution, Behavior and Systematics Lynx Dataset dataset 2023 ftdatacite https://doi.org/10.5061/dryad.z8w9ghxhn10.1111/ddi.13784 2024-05-13T11:16:20Z Aim: The increasing availability of animal tracking datasets collected across many sites provides new opportunities to move beyond local assessments to enable detailed and consistent habitat mapping at biogeographic scales. However, integrating wildlife datasets across large areas and study sites is challenging, as species’ varying responses to different environmental contexts must be reconciled. Here, we compare approaches for large-area habitat mapping and assess available habitat for a recolonizing large carnivore, the Eurasian lynx (Lynx lynx). Location: Europe Methods: We use a continental-scale animal tracking database (450 individuals from 14 study sites) to systematically assess modeling approaches, comparing (1) global strategies that pool all data for training vs. building local, site-specific models and combining them, (2) different approaches for incorporating regional variation in habitat selection, and (3) different modeling algorithms, testing nonlinear mixed effects models as well as ... : # Integrating animal tracking datasets at a continental scale for mapping Eurasian lynx habitat *** This dataset is a product of the Conservation Biogeography Lab at Humbolt-Universität zu Berlin (hu.berlin/biogeography) and is a result of the following publication: Oeser, J., Heurich, M., Kramer-Schadt, S., Mattisson, J., Krofel, M., Krojerová-Prokešová, J., Zimmermann, F., Anders, O., Andrén, H., Bagrade, G., Belotti, E., Breitenmoser-Würsten, C., Bufka, L., Černe, R., Drouet-Hoguet, N., Duľa, M., Fuxjäger, C., Gomerčić, T., Jędrzejewski, W. … Kuemmerle, T. (2023). Integrating animal tracking datasets at a continental scale for mapping Eurasian lynx habitat. *Diversity and Distributions*, 00, 1–15. [https://doi.org/10.1111/ddi.13784](https://doi.org/10.1111/ddi.13784) ## Description of the data and file structure GEOTIFF files contain habitat suitability raster maps of the best-performing global and local habitat models, respectively, using an algorithm ensemble of the best-performing modeling algorithms ... Dataset Lynx Lynx lynx lynx DataCite Metadata Store (German National Library of Science and Technology) Kramer ENVELOPE(-64.017,-64.017,-65.447,-65.447) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
FOS Biological sciences animal tracking Eurasian lynx habitat suitability Large-area mapping large carnivore Ecology, Evolution, Behavior and Systematics Lynx |
spellingShingle |
FOS Biological sciences animal tracking Eurasian lynx habitat suitability Large-area mapping large carnivore Ecology, Evolution, Behavior and Systematics Lynx Oeser, Julian Integrating animal tracking datasets at a continental scale for mapping Eurasian lynx habitat ... |
topic_facet |
FOS Biological sciences animal tracking Eurasian lynx habitat suitability Large-area mapping large carnivore Ecology, Evolution, Behavior and Systematics Lynx |
description |
Aim: The increasing availability of animal tracking datasets collected across many sites provides new opportunities to move beyond local assessments to enable detailed and consistent habitat mapping at biogeographic scales. However, integrating wildlife datasets across large areas and study sites is challenging, as species’ varying responses to different environmental contexts must be reconciled. Here, we compare approaches for large-area habitat mapping and assess available habitat for a recolonizing large carnivore, the Eurasian lynx (Lynx lynx). Location: Europe Methods: We use a continental-scale animal tracking database (450 individuals from 14 study sites) to systematically assess modeling approaches, comparing (1) global strategies that pool all data for training vs. building local, site-specific models and combining them, (2) different approaches for incorporating regional variation in habitat selection, and (3) different modeling algorithms, testing nonlinear mixed effects models as well as ... : # Integrating animal tracking datasets at a continental scale for mapping Eurasian lynx habitat *** This dataset is a product of the Conservation Biogeography Lab at Humbolt-Universität zu Berlin (hu.berlin/biogeography) and is a result of the following publication: Oeser, J., Heurich, M., Kramer-Schadt, S., Mattisson, J., Krofel, M., Krojerová-Prokešová, J., Zimmermann, F., Anders, O., Andrén, H., Bagrade, G., Belotti, E., Breitenmoser-Würsten, C., Bufka, L., Černe, R., Drouet-Hoguet, N., Duľa, M., Fuxjäger, C., Gomerčić, T., Jędrzejewski, W. … Kuemmerle, T. (2023). Integrating animal tracking datasets at a continental scale for mapping Eurasian lynx habitat. *Diversity and Distributions*, 00, 1–15. [https://doi.org/10.1111/ddi.13784](https://doi.org/10.1111/ddi.13784) ## Description of the data and file structure GEOTIFF files contain habitat suitability raster maps of the best-performing global and local habitat models, respectively, using an algorithm ensemble of the best-performing modeling algorithms ... |
format |
Dataset |
author |
Oeser, Julian |
author_facet |
Oeser, Julian |
author_sort |
Oeser, Julian |
title |
Integrating animal tracking datasets at a continental scale for mapping Eurasian lynx habitat ... |
title_short |
Integrating animal tracking datasets at a continental scale for mapping Eurasian lynx habitat ... |
title_full |
Integrating animal tracking datasets at a continental scale for mapping Eurasian lynx habitat ... |
title_fullStr |
Integrating animal tracking datasets at a continental scale for mapping Eurasian lynx habitat ... |
title_full_unstemmed |
Integrating animal tracking datasets at a continental scale for mapping Eurasian lynx habitat ... |
title_sort |
integrating animal tracking datasets at a continental scale for mapping eurasian lynx habitat ... |
publisher |
Dryad |
publishDate |
2023 |
url |
https://dx.doi.org/10.5061/dryad.z8w9ghxhn https://datadryad.org/stash/dataset/doi:10.5061/dryad.z8w9ghxhn |
long_lat |
ENVELOPE(-64.017,-64.017,-65.447,-65.447) |
geographic |
Kramer |
geographic_facet |
Kramer |
genre |
Lynx Lynx lynx lynx |
genre_facet |
Lynx Lynx lynx lynx |
op_relation |
https://dx.doi.org/10.1111/ddi.13784 |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_doi |
https://doi.org/10.5061/dryad.z8w9ghxhn10.1111/ddi.13784 |
_version_ |
1801383466729734144 |