Sequencing whole mitochondrial genomes to assess genetic divergence between proposed silver-haired bat (<i>Lasionycteris noctivagans)</i> populations

Monopoli, Marissa; Wieringa, Jamin G.; Nagel, Juliet; Nelson, David M.; Gibbs, H. Lisle

doi:10.1080/23802359.2020.1841577

Cited by 2 publications

(3 citation statements)

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“…Another promising possibility, especially for L. noctivagans , is genetic data. Lasionycteris noctivagans has been hypothesized to have an east/west split (Cryan, 2003), and previous work using mtDNA has shown some indication of genetic structure (Monopoli et al, 2020). Finally, possible data sources include sulfur isotope analysis (Kabalika et al, 2020), tagging technology (Castle et al, 2015), MOTUS network (Dowling & O'Dell, 2018), and many others (see Brewer et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

“…Two common types of biomarkers for tracing animal movements are chemical markers, such as isotopes and trace elements that are incorporated into fur or other tissue, and genetic markers, which are passed from parent to offspring. Genetic markers to determine origin have not been used for Lasiurus borealis, L. cinereus, or Lasionycteris noctivagans, because studies to date have indicated they display little population genetic structure (Pylant et al, 2016;Sovic et al, 2016; but see also Monopoli et al, 2020). Thus, most work has focused on stable isotopes, primarily stable hydrogen isotope ratios or δ 2 H (Baerwald et al, 2014;Cryan et al, 2004Cryan et al, , 2014Pylant et al, 2016), and more recently, trace elements (Wieringa et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Combining stable isotopes, trace elements, and distribution models to assess the geographic origins of migratory bats

et al. 2023

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The expansion of industrial-scale wind-energy facilities has not only increased the production of low-carbon emission energy but has also resulted in mortality of wildlife, including migratory bats. Management decisions can be limited by a lack of understanding of the geographic impact of bats killed at wind-energy facilities. Several studies have leveraged stable hydrogen isotope ratios (δ 2 H) of bat fur to illuminate this issue but are limited in the precision of conclusion because δ 2 H values vary primarily across latitudinal and elevational bands. One approach to increase the precision of geographic assignment is to combine independent inferences about spatial location from additional biomarkers and other related information. To test this possibility, we assigned known-origin individuals of three bat species (Lasiurus borealis, L. cinereus, and Lasionycteris noctivagans) commonly killed at on-shore wind-energy facilities in North America to a probable origin using δ 2 H values, trace element concentrations, and species distribution models. We used cross-validated calibrated combined model tuning to determine the degree to which assignment probabilities improved when combining datasets. We found that combining markers typically performed better than single approaches.For Lasiurus borealis and L. cinereus, combining all three data sources outperformed any single or other combined approach. With an accuracy set at 80%, an average of 39.7% and 36.0% of each species' total geographic range was considered a potential origin, respectively; stable hydrogen alone included 51.8% and 50.6% of the total geographic area. In contrast, for Lasionycteris noctivagans, including trace elements did not increase precision and adding distribution data to δ 2 H values only improved precision by 0.6%. Thus, we found that a combination of multiple biomarkers typically, but not always, outperforms single-marker approaches and optimized combinations of different markers outperform equal weighting of each marker. From a practical perspective, δ 2 H values performed better than trace elements alone; in cases where cost is a limiting factor, the stable hydrogen should be the single

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Combining stable isotopes, trace elements, and distribution models to assess the geographic origins of migratory bats

et al. 2023

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“…Intrinsic markers (e.g., stable isotopes, genetic markers, trace elements) can retrospectively differentiate residents from migrants and immigrants killed at renewable‐energy facilities (Monopoli et al., 2020; Pylant et al., 2016; Vander Zanden et al., 2018a; Voigt et al., 2012; Wieringa et al., 2020). Previous studies that applied these tools to wildlife killed at renewable‐energy facilities focused on small numbers of species or one type of renewable energy, limiting the ability to draw generalizations.…”

Section: Introductionmentioning

confidence: 99%

The geographic extent of bird populations affected by renewable‐energy development

Vander Zanden,

Nelson,

Conkling

et al. 2024

Conservation Biology

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Bird populations are declining globally. Wind and solar energy can reduce emissions of fossil fuels that drive anthropogenic climate change, yet renewable‐energy production represents a potential threat to bird species. Surveys to assess potential effects at renewable‐energy facilities are exclusively local, and the geographic extent encompassed by birds killed at these facilities is largely unknown, which creates challenges for minimizing and mitigating the population‐level and cumulative effects of these fatalities. We performed geospatial analyses of stable hydrogen isotope data obtained from feathers of 871 individuals of 24 bird species found dead at solar‐ and wind‐energy facilities in California (USA). Most species had individuals with a mix of origins, ranging from 23% to 98% nonlocal. Mean minimum distances to areas of likely origin for nonlocal individuals were as close as 97 to >1250 km, and these minimum distances were larger for species found at solar‐energy facilities in deserts than at wind‐energy facilities in grasslands (Cohen's d = 6.5). Fatalities were drawn from an estimated 30–100% of species’ desingated ranges, and this percentage was significantly smaller for species with large ranges found at wind facilities (Pearson's r = −0.67). Temporal patterns in the geographic origin of fatalities suggested that migratory movements and nonmigratory movements, such as dispersal and nomadism, influence exposure to fatality risk for these birds. Our results illustrate the power of using stable isotope data to assess the geographic extent of renewable‐energy fatalities on birds. As the buildout of renewable‐energy facilities continues, accurate assessment of the geographic footprint of wildlife fatalities can be used to inform compensatory mitigation for their population‐level and cumulative effects.

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Sequencing whole mitochondrial genomes to assess genetic divergence between proposed silver-haired bat (Lasionycteris noctivagans) populations

Cited by 2 publications

References 12 publications

Combining stable isotopes, trace elements, and distribution models to assess the geographic origins of migratory bats

Combining stable isotopes, trace elements, and distribution models to assess the geographic origins of migratory bats

The geographic extent of bird populations affected by renewable‐energy development

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