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 de-tailed and consistent habitat mapping at biogeographical scales. However, integrating wildlife datasets across large areas and study sites...
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Online Access: | https://hdl.handle.net/11250/3099059 https://doi.org/10.1111/ddi.13784 |
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fthsinnlandet:oai:brage.inn.no:11250/3099059 2024-03-03T08:49:28+00:00 Integrating animal tracking datasets at a continental scale for mapping Eurasian lynx habitat Oeser, Julian Heurich, Marco Dietmar Kramer-Schadt, Stephanie A. Mattisson, Jenny Krofel, Miha Krojerová-Prokešová, Jarmila Zimmermann, Fridolin Anders, Ole Andrén, Henrik Bagrade, Guna Belotti, Elisa Breitenmoser-Würsten, Christine Bufka, Luděk Cerne, Rok Drouet-Hoguet, Nolwenn Duľa, Martin Fuxjäger, Christian Gomerčić, Tomislav Jędrzejewski, Włodzimierz Kont, Raido Koubek, Petr Kowalczyk, Rafał Kusak, Josip Kubala, Jakub Kutal, Miroslav Linnell, John Durrus Molinari-Jobin, Anja Männil, Peep Middelhoff, Tomma Lilli Odden, John Okarma, Henryk Schmidt, Krzysztof Signer, Sven Tám, Branislav Vogt, Kristina Kuemmerle, Tobias 2023 application/pdf https://hdl.handle.net/11250/3099059 https://doi.org/10.1111/ddi.13784 eng eng urn:issn:1366-9516 https://hdl.handle.net/11250/3099059 https://doi.org/10.1111/ddi.13784 cristin:2188642 Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no © 2023 The Authors. Diversity and Distributions published by John Wiley & Sons Ltd. 15 Diversity and Distributions: A journal of biological invasions and biodiversity animal tracking eurasian lynx habitat suitability large carnivore arge-area mapping Lynx lynx VDP::Zoologiske og botaniske fag: 480 VDP::Zoology and botany: 480 Peer reviewed Journal article 2023 fthsinnlandet https://doi.org/10.1111/ddi.13784 2024-02-02T12:42:25Z Aim: The increasing availability of animal tracking datasets collected across many sites provides new opportunities to move beyond local assessments to enable de-tailed and consistent habitat mapping at biogeographical 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 recolo-nizing 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 modelling approaches, comparing (1) global strategies that pool all data for training versus building local, site-specific models and combining them, (2) different approaches for incorporating regional variation in habi-tat selection and (3) different modelling algorithms, testing nonlinear mixed effects models as well as machine-learning algorithms.Results: Testing models on training sites and simulating model transfers, global and local modelling strategies achieved overall similar predictive performance. Model performance was the highest using flexible machine-learning algorithms and when incorporating variation in habitat selection as a function of environmental variation. Our best-performing model used a weighted combination of local, site-specific habi-tat models. Our habitat maps identified large areas of suitable, but currently unoccu-pied lynx habitat, with many of the most suitable unoccupied areas located in regions that could foster connectivity between currently isolated populations.Main Conclusions: We demonstrate that global and local modelling strategies can achieve robust habitat models at the continental scale and that considering regional variation in habitat selection improves broad-scale habitat mapping. More generally, we highlight the promise of large wildlife tracking databases for large-area habitat ... Article in Journal/Newspaper Lynx Lynx lynx lynx Høgskolen i Innlandet: Brage INN Diversity and Distributions 29 12 1546 1560 |
institution |
Open Polar |
collection |
Høgskolen i Innlandet: Brage INN |
op_collection_id |
fthsinnlandet |
language |
English |
topic |
animal tracking eurasian lynx habitat suitability large carnivore arge-area mapping Lynx lynx VDP::Zoologiske og botaniske fag: 480 VDP::Zoology and botany: 480 |
spellingShingle |
animal tracking eurasian lynx habitat suitability large carnivore arge-area mapping Lynx lynx VDP::Zoologiske og botaniske fag: 480 VDP::Zoology and botany: 480 Oeser, Julian Heurich, Marco Dietmar Kramer-Schadt, Stephanie A. Mattisson, Jenny Krofel, Miha Krojerová-Prokešová, Jarmila Zimmermann, Fridolin Anders, Ole Andrén, Henrik Bagrade, Guna Belotti, Elisa Breitenmoser-Würsten, Christine Bufka, Luděk Cerne, Rok Drouet-Hoguet, Nolwenn Duľa, Martin Fuxjäger, Christian Gomerčić, Tomislav Jędrzejewski, Włodzimierz Kont, Raido Koubek, Petr Kowalczyk, Rafał Kusak, Josip Kubala, Jakub Kutal, Miroslav Linnell, John Durrus Molinari-Jobin, Anja Männil, Peep Middelhoff, Tomma Lilli Odden, John Okarma, Henryk Schmidt, Krzysztof Signer, Sven Tám, Branislav Vogt, Kristina Kuemmerle, Tobias Integrating animal tracking datasets at a continental scale for mapping Eurasian lynx habitat |
topic_facet |
animal tracking eurasian lynx habitat suitability large carnivore arge-area mapping Lynx lynx VDP::Zoologiske og botaniske fag: 480 VDP::Zoology and botany: 480 |
description |
Aim: The increasing availability of animal tracking datasets collected across many sites provides new opportunities to move beyond local assessments to enable de-tailed and consistent habitat mapping at biogeographical 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 recolo-nizing 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 modelling approaches, comparing (1) global strategies that pool all data for training versus building local, site-specific models and combining them, (2) different approaches for incorporating regional variation in habi-tat selection and (3) different modelling algorithms, testing nonlinear mixed effects models as well as machine-learning algorithms.Results: Testing models on training sites and simulating model transfers, global and local modelling strategies achieved overall similar predictive performance. Model performance was the highest using flexible machine-learning algorithms and when incorporating variation in habitat selection as a function of environmental variation. Our best-performing model used a weighted combination of local, site-specific habi-tat models. Our habitat maps identified large areas of suitable, but currently unoccu-pied lynx habitat, with many of the most suitable unoccupied areas located in regions that could foster connectivity between currently isolated populations.Main Conclusions: We demonstrate that global and local modelling strategies can achieve robust habitat models at the continental scale and that considering regional variation in habitat selection improves broad-scale habitat mapping. More generally, we highlight the promise of large wildlife tracking databases for large-area habitat ... |
format |
Article in Journal/Newspaper |
author |
Oeser, Julian Heurich, Marco Dietmar Kramer-Schadt, Stephanie A. Mattisson, Jenny Krofel, Miha Krojerová-Prokešová, Jarmila Zimmermann, Fridolin Anders, Ole Andrén, Henrik Bagrade, Guna Belotti, Elisa Breitenmoser-Würsten, Christine Bufka, Luděk Cerne, Rok Drouet-Hoguet, Nolwenn Duľa, Martin Fuxjäger, Christian Gomerčić, Tomislav Jędrzejewski, Włodzimierz Kont, Raido Koubek, Petr Kowalczyk, Rafał Kusak, Josip Kubala, Jakub Kutal, Miroslav Linnell, John Durrus Molinari-Jobin, Anja Männil, Peep Middelhoff, Tomma Lilli Odden, John Okarma, Henryk Schmidt, Krzysztof Signer, Sven Tám, Branislav Vogt, Kristina Kuemmerle, Tobias |
author_facet |
Oeser, Julian Heurich, Marco Dietmar Kramer-Schadt, Stephanie A. Mattisson, Jenny Krofel, Miha Krojerová-Prokešová, Jarmila Zimmermann, Fridolin Anders, Ole Andrén, Henrik Bagrade, Guna Belotti, Elisa Breitenmoser-Würsten, Christine Bufka, Luděk Cerne, Rok Drouet-Hoguet, Nolwenn Duľa, Martin Fuxjäger, Christian Gomerčić, Tomislav Jędrzejewski, Włodzimierz Kont, Raido Koubek, Petr Kowalczyk, Rafał Kusak, Josip Kubala, Jakub Kutal, Miroslav Linnell, John Durrus Molinari-Jobin, Anja Männil, Peep Middelhoff, Tomma Lilli Odden, John Okarma, Henryk Schmidt, Krzysztof Signer, Sven Tám, Branislav Vogt, Kristina Kuemmerle, Tobias |
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 |
publishDate |
2023 |
url |
https://hdl.handle.net/11250/3099059 https://doi.org/10.1111/ddi.13784 |
genre |
Lynx Lynx lynx lynx |
genre_facet |
Lynx Lynx lynx lynx |
op_source |
15 Diversity and Distributions: A journal of biological invasions and biodiversity |
op_relation |
urn:issn:1366-9516 https://hdl.handle.net/11250/3099059 https://doi.org/10.1111/ddi.13784 cristin:2188642 |
op_rights |
Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no © 2023 The Authors. Diversity and Distributions published by John Wiley & Sons Ltd. |
op_doi |
https://doi.org/10.1111/ddi.13784 |
container_title |
Diversity and Distributions |
container_volume |
29 |
container_issue |
12 |
container_start_page |
1546 |
op_container_end_page |
1560 |
_version_ |
1792506678289104896 |