Evidence map›Paper›PMID 39048593›Full record

ArticleScientific reports2024

Potential for spatial coexistence of a transboundary migratory species and wind energy development.

Ta-Ken Huang, Xiao Feng, Jonathan J Derbridge, Kaitlin Libby, Jay E Diffendorfer, Wayne E Thogmartin, Gary McCracken, Rodrigo Medellin, Laura López-Hoffman

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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

9 authors.

Ta-Ken HuangDepartment of Water Resources and Environmental Engineering, Tamkang University, No.151, Yingzhuan Rd., Tamsui Dist., New Taipei City, 251301, Taiwan.
Xiao FengDepartment of Geography, Florida State University, 113 Collegiate Loop, PO Box 3062190, Tallahassee, FL, USA.
Jonathan J DerbridgeSchool of Natural Resources and the Environment, The University of Arizona, 1064 East Lowell Street, Tucson, AZ, 85721, USA.
Kaitlin LibbySchool of Natural Resources and the Environment, The University of Arizona, 1064 East Lowell Street, Tucson, AZ, 85721, USA.
Jay E DiffendorferUS Geological Survey, Geosciences and Environmental Change Science Center, P.O. Box 25046, DFC, MS980, Denver, CO, 80225, USA. jediffendorfer@usgs.gov.
Wayne E ThogmartinUS Geological Survey, Upper Midwest Environmental Sciences Center, 2630 Fanta Reed Road, La Crosse, WI, 54603, USA.
Gary McCrackenEcology & Evolutionary Biology Department, The University of Tennessee, 569 Dabney Hall, 1416 Circle Dr, Knoxville, TN, 37996, USA.
Rodrigo MedellinInstitute of Ecology, National Autonomous University of Mexico, University City, Coyoacán, 04510, Mexico City, CDMX, Mexico.
Laura López-HoffmanSchool of Natural Resources and the Environment, The University of Arizona, 1064 East Lowell Street, Tucson, AZ, 85721, USA.

Funding

National Science Foundation DEB- 1518359
6 · The paper itself

Abstract

Global expansion in wind energy development is a notable achievement of the international community's effort to reduce carbon emissions during energy production. However, the increasing number of wind turbines have unintended consequences for migratory birds and bats. Wind turbine curtailment and other mitigation strategies can reduce fatalities, but improved spatial and temporal data are needed to identify the most effective way for wind energy development and volant migratory species to coexist. Mexican free-tailed bats (Tadarida brasiliensis mexicana) account for a large proportion of known bat fatalities at wind facilities in the southwestern US. We examined the geographic concordance between existing wind energy generation facilities, areas of high wind potential amenable for future deployment of wind facilities, and seasonally suitable habitat for these bats. We used ecological niche modeling to determine species distribution during each of 4 seasons. We used a multi-criteria GIS-based approach to produce a wind turbine siting suitability map. We identified seasonal locations with highest and lowest potential for the species' probability of occurrence, providing a potential explanation for the higher observed fatalities during fall migration. Thirty percent of 33,606 wind turbines within the southwestern US occurred in highly suitable areas for Mexican free-tailed bats, primarily in west Texas. There is also broad spatial overlap between areas of high wind potential and areas of suitable habitat for Mexican free-tailed bats. Because of this high degree of overlap, our results indicate that post-construction strategies, such as curtailing the timing of operations and deterrents, would be more effective for bat conservation than strategic siting of new wind energy installations.

Identifiers

PMID39048593
PMCPMC11269593

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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.