Movement seasonality in a desert-dwelling bat revealed by miniature GPS loggers.

Animal movement Biologging GPS technology Lavia frons Seasonal changes Telemetry

Journal

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

Informations de publication

Date de publication:
2019
Historique:
received: 25 04 2019
accepted: 23 06 2019
entrez: 21 8 2019
pubmed: 21 8 2019
medline: 21 8 2019
Statut: epublish

Résumé

Bats are among the most successful desert mammals. Yet, our understanding of their spatio-temporal dynamics in habitat use associated with the seasonal oscillation of resources is still limited. In this study, we have employed state-of-the-art lightweight GPS loggers to track the yellow-winged bat Bats were tracked during April-May 2017 (rainy season) and January-February 2018 (dry season) using 1-g GPS loggers. Spatial and temporal dimensions of movements were quantified, respectively, as the home range and nightly activity patterns. We tested for differences between seasons to assess responses to seasonal drought. In addition, we quantified home range overlap between neighbouring individuals to investigate whether tracking data will be in accordance with previous reports on territoriality and social monogamy in We obtained data for 22 bats, 13 during the rainy and 9 during the dry season. Home ranges averaged 5.46 ± 11.04 ha and bats travelled a minimum distance of 99.69 ± 123.42 m/hour. During the dry season, home ranges were larger than in the rainy season, and bats exhibited high activity during most of the night. No apparent association with free water was identified during the dry season. The observed spatial organisation of home ranges supports previous observations that Our results suggest that, in low-mobility bats, a potential way to cope with seasonally harsh conditions and resource scarcity in deserts is to cover larger areas and increase time active, suggesting lower cost-efficiency of the foraging activity. Climate change may pose additional pressures on

Sections du résumé

BACKGROUND BACKGROUND
Bats are among the most successful desert mammals. Yet, our understanding of their spatio-temporal dynamics in habitat use associated with the seasonal oscillation of resources is still limited. In this study, we have employed state-of-the-art lightweight GPS loggers to track the yellow-winged bat
METHODS METHODS
Bats were tracked during April-May 2017 (rainy season) and January-February 2018 (dry season) using 1-g GPS loggers. Spatial and temporal dimensions of movements were quantified, respectively, as the home range and nightly activity patterns. We tested for differences between seasons to assess responses to seasonal drought. In addition, we quantified home range overlap between neighbouring individuals to investigate whether tracking data will be in accordance with previous reports on territoriality and social monogamy in
RESULTS RESULTS
We obtained data for 22 bats, 13 during the rainy and 9 during the dry season. Home ranges averaged 5.46 ± 11.04 ha and bats travelled a minimum distance of 99.69 ± 123.42 m/hour. During the dry season, home ranges were larger than in the rainy season, and bats exhibited high activity during most of the night. No apparent association with free water was identified during the dry season. The observed spatial organisation of home ranges supports previous observations that
CONCLUSIONS CONCLUSIONS
Our results suggest that, in low-mobility bats, a potential way to cope with seasonally harsh conditions and resource scarcity in deserts is to cover larger areas and increase time active, suggesting lower cost-efficiency of the foraging activity. Climate change may pose additional pressures on

Identifiants

pubmed: 31428429
doi: 10.1186/s40462-019-0170-8
pii: 170
pmc: PMC6696681
doi:

Types de publication

Journal Article

Langues

eng

Pagination

27

Déclaration de conflit d'intérêts

Competing interestsThe authors declare that they have no competing interests.

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Auteurs

Irene Conenna (I)

1Global Change and Conservation Faculty of Biological and Environmental Sciences, University of Helsinki, PO Box 65, Viikinkaari 1, 00014 Helsinki, Finland.
2Helsinki Institute of Sustainability Science, University of Helsinki, Helsinki, Finland.

Adrià López-Baucells (A)

3Centre for Ecology Evolution and Environmental Changes (cE3c) Faculty of Sciences, University of Lisbon, 1749-016 Lisbon, Portugal.
Granollers Museum of Natural Sciences, 08402 Granollers, Catalonia Spain.

Ricardo Rocha (R)

1Global Change and Conservation Faculty of Biological and Environmental Sciences, University of Helsinki, PO Box 65, Viikinkaari 1, 00014 Helsinki, Finland.
5Conservation Science Group Department of Zoology, University of Cambridge, CB2 3EJ Cambridge, UK.

Simon Ripperger (S)

Museum für Naturkunde, Leibniz-Institute for Evolution and Biodiversity Science, Berlin, Germany.
7Smithsonian Tropical Research Institute, Balboa, Ancón Panama.

Mar Cabeza (M)

1Global Change and Conservation Faculty of Biological and Environmental Sciences, University of Helsinki, PO Box 65, Viikinkaari 1, 00014 Helsinki, Finland.
2Helsinki Institute of Sustainability Science, University of Helsinki, Helsinki, Finland.

Classifications MeSH