Estimating and forecasting spatial population dynamics of apex predators using transnational genetic monitoring.

Algorithms Animals Animals, Wild Genetics, Population Geography Models, Theoretical Population Dynamics Predatory Behavior Spatial Analysis
density surface imperfect detection noninvasive monitoring of large carnivores spatial capture–recapture vital rates

Journal

Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
Titre abrégé: Proc Natl Acad Sci U S A
Pays: United States
ID NLM: 7505876

Informations de publication

Date de publication:
01 12 2020
Historique:
pubmed: 18 11 2020
medline: 26 1 2021
entrez: 17 11 2020
Statut: ppublish

Résumé

The ongoing recovery of terrestrial large carnivores in North America and Europe is accompanied by intense controversy. On the one hand, reestablishment of large carnivores entails a recovery of their most important ecological role, predation. On the other hand, societies are struggling to relearn how to live with apex predators that kill livestock, compete for game species, and occasionally injure or kill people. Those responsible for managing these species and mitigating conflict often lack fundamental information due to a long-standing challenge in ecology: How do we draw robust population-level inferences for elusive animals spread over immense areas? Here we showcase the application of an effective tool for spatially explicit tracking and forecasting of wildlife population dynamics at scales that are relevant to management and conservation. We analyzed the world's largest dataset on carnivores comprising more than 35,000 noninvasively obtained DNA samples from over 6,000 individual brown bears (

Identifiants

DOI: 10.1073/pnas.2011383117 PMID: 33199605 PMC: PMC7720137
pubmed: 33199605
pii: 2011383117
doi: 10.1073/pnas.2011383117
pmc: PMC7720137
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

30531-30538

Informations de copyright

Copyright © 2020 the Author(s). Published by PNAS.

Déclaration de conflit d'intérêts

The authors declare no competing interest.

Références

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Auteurs

Richard Bischof (R)

Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, NO-1432 Ås, Norway; richard.bischof@nmbu.no.

Cyril Milleret (C)

Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, NO-1432 Ås, Norway.
ORCID: 0000-0002-8563-981X

Pierre Dupont (P)

Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, NO-1432 Ås, Norway.

Joseph Chipperfield (J)

Norwegian Institute for Nature Research, NO-5006 Bergen, Norway.

Mahdieh Tourani (M)

Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, NO-1432 Ås, Norway.

Andrés Ordiz (A)

Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, NO-1432 Ås, Norway.
Grimsö Wildlife Research Station, Department of Ecology, Swedish University of Agricultural Sciences, SE-73091 Riddarhyttan, Sweden.
ORCID: 0000-0002-6141-8457

Perry de Valpine (P)

Department of Environmental Science, Policy and Management, University of California, Berkeley, CA 94720.

Daniel Turek (D)

Department of Mathematics and Statistics, Williams College, Williamstown, MA 01267.

J Andrew Royle (JA)

US Geological Survey Patuxent Wildlife Research Center, Laurel, MD 20708.
ORCID: 0000-0003-3135-2167

Olivier Gimenez (O)

Centre d'Ecologie Fonctionnelle et Evolutive, CNRS-UMR 5175, Université Montpellier, Ecole Pratique des Hautes Etudes, Institut de Recherche pour le Developpement, Université Paul Valéry Montpellier 3, 34090 Montpellier, France.

Øystein Flagstad (Ø)

Department of Terrestrial Ecology, Norwegian Institute for Nature Research, NO-7485 Trondheim, Norway.

Mikael Åkesson (M)

Grimsö Wildlife Research Station, Department of Ecology, Swedish University of Agricultural Sciences, SE-73091 Riddarhyttan, Sweden.

Linn Svensson (L)

Wildlife Damage Centre, Grimsö Wildlife Research Station, Swedish University of Agricultural Sciences, SE-73091 Riddarhyttan, Sweden.

Henrik Brøseth (H)

Department of Terrestrial Ecology, Norwegian Institute for Nature Research, NO-7485 Trondheim, Norway.
ORCID: 0000-0003-3795-891X

Jonas Kindberg (J)

Department of Terrestrial Ecology, Norwegian Institute for Nature Research, NO-7485 Trondheim, Norway.
Department of Wildlife, Fish, and Environmental Studies, Swedish University of Agricultural Sciences, SE-90183 Umea, Sweden.
ORCID: 0000-0003-1445-4524

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Classifications MeSH

questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Estimating and forecasting spatial population...
questionsmedicales.fr › Eucaryotes › Animaux › Estimating and forecasting spatial population...
questionsmedicales.fr › Eucaryotes › Animaux › Groupes animaux › Animaux sauvages › Estimating and forecasting spatial population...
questionsmedicales.fr › Disciplines des sciences naturelles › Disciplines des sciences biologiques › Biologie › Génétique › Génétique des populations › Estimating and forecasting spatial population...
questionsmedicales.fr › Disciplines des sciences naturelles › Sciences de la Terre › Géographie › Estimating and forecasting spatial population...
questionsmedicales.fr › Techniques d'investigation › Modèles théoriques › Estimating and forecasting spatial population...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Mesures épidémiologiques › Démographie › Dynamique des populations › Estimating and forecasting spatial population...
questionsmedicales.fr › Comportement et mécanismes comportementaux › Comportement › Comportement animal › Acte consommatoire › Comportement prédateur › Estimating and forecasting spatial population...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Analyse spatiale › Estimating and forecasting spatial population...