Literature DB >> 23634598

Hibernation site requirements of bats in man-made hibernacula in a spatial context.

W F de Boer1, S van de Koppel, H J de Knegt, J J A Dekker.   

Abstract

Bat hibernacula selection depends on various spatial and nonspatial variables that differ widely between sites. However, previous studies have focused mainly on nonspatial variables. This research investigated factors that determined the abundance and species richness of hibernating bats in hibernation objects of the New Dutch Waterline, The Netherlands, and determined the relevant scales over which spatial factors operate using regression techniques and ecological-niche factor analyses. The effects of 32 predictor variables on several response variables, i.e., the total bat abundance, species richness, and abundance and presence of bat species, were investigated. Predictor variables were classified as internal variables (e.g., building size, climatic conditions, and human access) or external variables (e.g., ground and vegetation cover and land cover type) that were measured at different spatial scales to study the influence of the spatial context. The internal building variables (mainly the size of hibernacula and the number of hiding possibilities) affected the hibernating bat abundance and species richness. Climatic variables, such as changes in temperature and humidity, were less important. The hibernation site suitability was also influenced by spatial variables at a variety of scales, thereby indicating the importance of scale-dependent species-environment relationships. The absence of human use and public access enhanced hibernation site suitability, but the internal size-related variables had the greatest positive effect on hibernation site suitability. These results demonstrate the importance of considering the different spatial scales of the surrounding landscape to better understand habitat selection, and they offer directives to managers to optimize objects for hibernating bats and to improve management and bat conservation. The analyses have wider applications to other wildlife-habitat studies.

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Year:  2013        PMID: 23634598     DOI: 10.1890/1051-0761-23.2.502

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  2 in total

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Authors:  Dragoş Ştefan Măntoiu; Ionuţ Cornel Mirea; Ionuţ Cosmin Şandric; Alina Georgiana Cîşlariu; Iulian Gherghel; Silviu Constantin; Oana Teodora Moldovan
Journal:  PLoS One       Date:  2022-10-20       Impact factor: 3.752

2.  Informing wind energy development: Land cover and topography predict occupancy for Arizona bats.

Authors:  Clarissa A Starbuck; Brett G Dickson; Carol L Chambers
Journal:  PLoS One       Date:  2022-06-03       Impact factor: 3.752

  2 in total

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