Comparison of Radio-Telemetric Home-Range Analysis and Acoustic Detection for Little Brown Bat Habitat Evaluation

Coleman, Laci S.; Ford, W. Mark; Dobony, Christopher A.; Britzke, Eric R.

doi:10.1656/045.021.0309

Cited by 19 publications

(22 citation statements)

References 83 publications

(107 reference statements)

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“…This suggests consistency in call identification resulting in relatively high‐performing models for individual species or the canceling of effects by pooling different species. For instance, because northern long‐eared bats often forage in upland forests (Broders et al , Sheets ) and little brown bats regularly use riparian areas (Coleman et al ), the pooling of calls for both species likely resulted in an overall model will little power to predict occupancy for the genus as a whole. Thus, these results suggest that our more conservative approach of lumping echolocation calls to the genus level offered little improvement in model performance.…”

Section: Discussionmentioning

confidence: 99%

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Nocturnal habitat selection of bats using occupancy models

Pauli¹,

Zollner²,

Haulton

2017

J Wildl Manag

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Threats to North American bat species necessitate the quantification of bat habitat. To characterize bat habitat, we recorded bat echolocation calls from state forests in Indiana, USA. We identified calls using automated classification software and constructed detection histories for 3 species of conservation concern: Indiana bat (Myotis sodalis), little brown bat (Myotis lucifugus), and northern long-eared bat (Myotis septentrionalis). We analyzed these data using single-and multi-species occupancy approaches to estimate occurrence and detection probabilities at the genus level (Myotis) and for each species separately. We constructed models using a suite of habitat covariates (e.g., forest cover, edge, streams, hibernacula, public roads) and determined the effect of these features on occupancy for each species (or group). We validated all models using training and independent data. Occupancy of all species was affected by the proportion of forest in surrounding areas. For most models, bat occupancy was greatest in areas with a lower proportion of forest within 1 km. Occupancy was also often greatest in recently harvested or intact, mature second-growth stands as opposed to stands 10-30 years following harvest. The spatial configuration of water and roads also affected species occupancy. Our methods allowed us to assess the factors that affect occupancy for the genus and individual species, thus allowing for the identification of features useful in classifying important habitat at both taxonomic levels. The results of this study can aid land managers in identifying habitat that may be used by foraging bats and in planning future timber harvests in managed forests. Ó 2017 The Wildlife Society.KEY WORDS acoustic, habitat, Indiana bat, little brown bat, Myotis lucifugus, Myotis septentrionalis, Myotis sodalis, northern long-eared bat.

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Section: Discussionmentioning

confidence: 99%

“…Little brown bats often forage over open water, in bottomland forests (Bergeson et al ), along riparian areas (Coleman et al ), and in areas with large canopy gap width (Ford et al ). Little brown bats also regularly use areas with human development (Coleman and Barclay ).…”

mentioning

confidence: 99%

Nocturnal habitat selection of bats using occupancy models

Pauli¹,

Zollner²,

Haulton

2017

J Wildl Manag

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“…1 Known to use cracks or hollows in larger diameter tree snags in older stands, rock crevices, and buildings elsewhere. 2,15,35,90,101,102,103 Large diameter tree, rock crevices, buildings, bridges, caves, and bat houses in Montana. 1,26,31,80 Known to use cracks or hollows in larger diameter tree snags in older stands, wood piles, and rock crevices elsewhere.…”

Section: Appendix C Overview Of Roosting Habitat and Home Range / Formentioning

confidence: 99%

Long-term acoustic assessment of bats at coal mines across Southcentral Montana and management recommendations for bats /

Bachen¹,

Blum²,

Burkholder³

et al. 2018

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Section: Little Brown Myotis (Myotis Lucifugus)mentioning

confidence: 99%

Montana bat and white‐nose syndrome surveillance plan and protocols 2012 ‐2016 /

Maxell¹,

Burkholder²,

Ratz³

2015

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Comparison of Radio-Telemetric Home-Range Analysis and Acoustic Detection for Little Brown Bat Habitat Evaluation

Cited by 19 publications

References 83 publications

Nocturnal habitat selection of bats using occupancy models

Nocturnal habitat selection of bats using occupancy models

Long-term acoustic assessment of bats at coal mines across Southcentral Montana and management recommendations for bats /

Montana bat and white‐nose syndrome surveillance plan and protocols 2012 ‐2016 /

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Comparison of Radio-Telemetric Home-Range Analysis and Acoustic Detection for Little Brown Bat Habitat Evaluation

Cited by 19 publications

References 83 publications

Nocturnal habitat selection of bats using occupancy models

Nocturnal habitat selection of bats using occupancy models

Long-term acoustic assessment of bats at coal mines across Southcentral Montana and management recommendations for bats /

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Montana bat and white‐nose syndrome surveillance plan and protocols 2012 ‐2016 /