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BatTool: projecting bat populations facing multiple stressors using a demographic model

Overview of attention for article published in BMC Ecology and Evolution, October 2023
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Title
BatTool: projecting bat populations facing multiple stressors using a demographic model
Published in
BMC Ecology and Evolution, October 2023
DOI 10.1186/s12862-023-02159-1
Pubmed ID
Authors

Ashton M. Wiens, Amber Schorg, Jennifer Szymanski, Wayne E. Thogmartin

Abstract

Bats provide ecologically and agriculturally important ecosystem services but are currently experiencing population declines caused by multiple environmental stressors, including mortality from white-nose syndrome and wind energy development. Analyses of the current and future health and viability of these species may support conservation management decision making. Demographic modeling provides a quantitative tool for decision makers and conservation managers to make more informed decisions, but widespread adoption of these tools can be limited because of the complexity of the mathematical, statistical, and computational components involved in implementing these models. In this work, we provide an exposition of the BatTool R package, detailing the primary components of the matrix projection model, a publicly accessible graphical user interface ( https://rconnect.usgs.gov/battool ) facilitating user-defined scenario analyses, and its intended uses and limitations (Wiens et al., US Geol Surv Data Release 2022; Wiens et al., US Geol Surv Softw Release 2022). We present a case study involving wind energy permitting, weighing the effects of potential mortality caused by a hypothetical wind energy facility on the projected abundance of four imperiled bat species in the Midwestern United States.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 40%
Student > Postgraduate 2 20%
Student > Doctoral Student 1 10%
Student > Master 1 10%
Other 1 10%
Other 0 0%
Unknown 1 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 60%
Environmental Science 2 20%
Social Sciences 1 10%
Unknown 1 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 October 2023.
All research outputs
#20,088,659
of 24,692,658 outputs
Outputs from BMC Ecology and Evolution
#2,878
of 3,251 outputs
Outputs of similar age
#144,054
of 210,564 outputs
Outputs of similar age from BMC Ecology and Evolution
#12
of 15 outputs
Altmetric has tracked 24,692,658 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,251 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.