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      Extent, configuration and diversity of burned and forested areas predict bat richness in a fire-maintained forest

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          Abstract

          Context

          Fire transforms, fragments and sometimes maintains forests, creating mosaics of burned and unburned patches. Highly mobile animals respond to resources in the landscape at a variety of spatial scales, yet we know little about their landscape-scale relationships with fire.

          Objectives

          We aimed to identify drivers of bat richness in a landscape mosaic of forested and burned areas while identifying spatial scales at which bat richness was most strongly related to extent, configuration, and diversity measures of landscape-level habitat.

          Methods

          We used multi-species hierarchical occupancy modelling to relate bat richness to landscape variables at 10 spatial scales, based on acoustic data collected in the Sierra Nevada, United States. We also assessed redundancy among landscape variable type (extent, configuration, and diversity) and between focal patch types (forested and burned).

          Results

          Bat richness was positively associated with heterogenous landscapes, shown by positive associations with pyrodiversity, extent and mean area of burned patches, burned and forested edge density and patch density and relationships were generally consistent across scales. Extent of forest cover and burned areas were highly correlated, but configuration and diversity of these patch types diverged.

          Conclusions

          Bat communities of our study area appear to be largely resilient to wildfire and adapted to more heterogenous forests and shorter-interval fire regimes that likely predominated before the fire suppression era.

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          Most cited references72

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          Collinearity: a review of methods to deal with it and a simulation study evaluating their performance

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            Large wildfire trends in the western United States, 1984-2011

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              FRAGSTATS: spatial pattern analysis program for quantifying landscape structure.

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Landscape Ecology
                Landscape Ecol
                Springer Science and Business Media LLC
                0921-2973
                1572-9761
                April 2021
                March 03 2021
                April 2021
                : 36
                : 4
                : 1101-1115
                Article
                10.1007/s10980-021-01204-y
                6421f294-71a6-49e6-a9e8-fa4ad9f7c690
                © 2021

                https://creativecommons.org/licenses/by/4.0

                https://creativecommons.org/licenses/by/4.0

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