Evidence map›Paper›PMID 37840152›Full record

ArticleBMC ecology and evolution2023

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

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

Abstract read
In one paragraph

Article in BMC ecology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ashton M WiensU.S. Geological Survey, Upper Midwest Environmental Sciences Center, La Crosse, WI, 54603, USA. awiens@usgs.gov.
Amber SchorgU.S. Fish and Wildlife Service, Ecological Services, Illinois-Iowa Field Office, Moline, IL, 61265, USA.
Jennifer SzymanskiU.S. Fish and Wildlife Service, Division of Endangered Species, La Crosse Fish and Wildlife Conservation Office, Onalaska, WI, 54650, USA.
Wayne E ThogmartinU.S. Geological Survey, Upper Midwest Environmental Sciences Center, La Crosse, WI, 54603, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

ChiropteraAnimalsDemographyEcosystemNoseWindCave-hibernating batsDemographyExtinction riskMatrix projectionPopulation ecologyPopulation viability analysisWhite-nose syndromeWind energy

Identifiers

PMID37840152
PMCPMC10577975

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.