Roads constrain movement across behavioural processes in a partially migratory ungulate.

Capreolus capreolus Connectivity Dispersal Habitat selection Migration Roads Roe deer Step selection analysis Ungulates

Journal

Movement ecology
ISSN: 2051-3933
Titre abrégé: Mov Ecol
Pays: England
ID NLM: 101635009

Informations de publication

Date de publication:
13 Nov 2021
Historique:
received: 19 03 2021
accepted: 23 10 2021
entrez: 14 11 2021
pubmed: 15 11 2021
medline: 15 11 2021
Statut: epublish

Résumé

Human disturbance alters animal movement globally and infrastructure, such as roads, can act as physical barriers that impact behaviour across multiple spatial scales. In ungulates, roads can particularly hamper key ecological processes such as dispersal and migration, which ensure functional connectivity among populations, and may be particularly important for population performance in highly human-dominated landscapes. The impact of roads on some aspects of ungulate behaviour has already been studied. However, potential differences in response to roads during migration, dispersal and home range movements have never been evaluated. Addressing these issues is particularly important to assess the resistance of European landscapes to the range of wildlife movement processes, and to evaluate how animals adjust to anthropogenic constraints. We analysed 95 GPS trajectories from 6 populations of European roe deer (Capreolus capreolus) across the Alps and central Europe. We investigated how roe deer movements were affected by landscape characteristics, including roads, and we evaluated potential differences in road avoidance among resident, migratory and dispersing animals (hereafter, movement modes). First, using Net Squared Displacement and a spatio-temporal clustering algorithm, we classified individuals as residents, migrants or dispersers. We then identified the start and end dates of the migration and dispersal trajectories, and retained only the GPS locations that fell between those dates (i.e., during transience). Finally, we used the resulting trajectories to perform an integrated step selection analysis. We found that roe deer moved through more forested areas during the day and visited less forested areas at night. They also minimised elevation gains and losses along their movement trajectories. Road crossings were strongly avoided at all times of day, but when they occurred, they were more likely to occur during longer steps and in more forested areas. Road avoidance did not vary among movement modes and, during dispersal and migration, it remained high and consistent with that expressed during home range movements. Roads can represent a major constraint to movement across modes and populations, potentially limiting functional connectivity at multiple ecological scales. In particular, they can affect migrating individuals that track seasonal resources, and dispersing animals searching for novel ranges.

Sections du résumé

BACKGROUND BACKGROUND
Human disturbance alters animal movement globally and infrastructure, such as roads, can act as physical barriers that impact behaviour across multiple spatial scales. In ungulates, roads can particularly hamper key ecological processes such as dispersal and migration, which ensure functional connectivity among populations, and may be particularly important for population performance in highly human-dominated landscapes. The impact of roads on some aspects of ungulate behaviour has already been studied. However, potential differences in response to roads during migration, dispersal and home range movements have never been evaluated. Addressing these issues is particularly important to assess the resistance of European landscapes to the range of wildlife movement processes, and to evaluate how animals adjust to anthropogenic constraints.
METHODS METHODS
We analysed 95 GPS trajectories from 6 populations of European roe deer (Capreolus capreolus) across the Alps and central Europe. We investigated how roe deer movements were affected by landscape characteristics, including roads, and we evaluated potential differences in road avoidance among resident, migratory and dispersing animals (hereafter, movement modes). First, using Net Squared Displacement and a spatio-temporal clustering algorithm, we classified individuals as residents, migrants or dispersers. We then identified the start and end dates of the migration and dispersal trajectories, and retained only the GPS locations that fell between those dates (i.e., during transience). Finally, we used the resulting trajectories to perform an integrated step selection analysis.
RESULTS RESULTS
We found that roe deer moved through more forested areas during the day and visited less forested areas at night. They also minimised elevation gains and losses along their movement trajectories. Road crossings were strongly avoided at all times of day, but when they occurred, they were more likely to occur during longer steps and in more forested areas. Road avoidance did not vary among movement modes and, during dispersal and migration, it remained high and consistent with that expressed during home range movements.
CONCLUSIONS CONCLUSIONS
Roads can represent a major constraint to movement across modes and populations, potentially limiting functional connectivity at multiple ecological scales. In particular, they can affect migrating individuals that track seasonal resources, and dispersing animals searching for novel ranges.

Identifiants

pubmed: 34774097
doi: 10.1186/s40462-021-00292-4
pii: 10.1186/s40462-021-00292-4
pmc: PMC8590235
doi:

Types de publication

Journal Article

Langues

eng

Pagination

57

Subventions

Organisme : Natural Environment Research Council
ID : NE/L002612/1

Informations de copyright

© 2021. The Author(s).

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Auteurs

Gioele Passoni (G)

Department of Zoology, University of Oxford, Zoology Research and Administration Building, 11a Mansfield Rd, Oxford, OX1 3SZ, UK. passonigioele@live.it.
Department of Biodiversity and Molecular Ecology, Research and Innovation Centre (CRI), Fondazione Edmund Mach, Via Edmund Mach 1, 38010, San Michele all'Adige, TN, Italy. passonigioele@live.it.

Tim Coulson (T)

Department of Zoology, University of Oxford, Zoology Research and Administration Building, 11a Mansfield Rd, Oxford, OX1 3SZ, UK.

Nathan Ranc (N)

Center for Integrated Spatial Research, Environmental Studies Department, University of California, Santa Cruz, 95064, USA.

Andrea Corradini (A)

Department of Biodiversity and Molecular Ecology, Research and Innovation Centre (CRI), Fondazione Edmund Mach, Via Edmund Mach 1, 38010, San Michele all'Adige, TN, Italy.
Department of Civil, Environmental and Mechanical Engineering (DICAM), University of Trento, via Mesiano 77, 38123, Trento, TN, Italy.
Stelvio National Park, Via De Simoni 42, 23032, Bormio, SO, Italy.

A J Mark Hewison (AJM)

INRAE, CEFS, Université de Toulouse, 31326, Castanet-Tolosan, France.
LTSER ZA Pyrénées Garonne, 31320, Auzeville Tolosane, France.

Simone Ciuti (S)

Laboratory of Wildlife Ecology and Behaviour, University College Dublin, Belfield, D4, Ireland.

Benedikt Gehr (B)

Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, 8057, Zurich, Switzerland.

Marco Heurich (M)

Department of Visitor Management and National Park Monitoring, Bavarian Forest National Park, Freyunger Straße 2, 94481, Grafenau, Germany.
Faculty of Environment and Natural Resources, Chair of Wildlife Ecology and Management, University of Freiburg, Tennenbacher Straße 4, 79106, Freiburg, Germany.
Institute for Forest and Wildlife Management, Inland Norway University of Applied Science, 2480, Koppang, Norway.

Falko Brieger (F)

Wildlife Institute, Forest Research Institute Baden-Wuerttemberg, Wonnhaldestraße 4, 79100, Freiburg, Germany.

Robin Sandfort (R)

Department of Integrative Biology and Biodiversity Research, Institute of Wildlife Biology and Game Management, University of Natural Resources and Life Sciences Vienna, Gregor-Mendel Straße 33, 1180, Vienna, Austria.

Atle Mysterud (A)

Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Blindern, P.O. Box 1066, 0316, Oslo, Norway.

Niko Balkenhol (N)

Wildlife Sciences, Faculty of Forest Sciences and Forest Ecology, University of Goettingen, Buesgenweg 3, 37077, Goettingen, Germany.

Francesca Cagnacci (F)

Department of Biodiversity and Molecular Ecology, Research and Innovation Centre (CRI), Fondazione Edmund Mach, Via Edmund Mach 1, 38010, San Michele all'Adige, TN, Italy.

Classifications MeSH