Mammals of Great Smoky Mountains National Park: 2016 Revision

Linzey, Donald W.

doi:10.1656/058.015.m801

Cited by 7 publications

(8 citation statements)

References 38 publications

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“…In some cases, people have come into physical contact with bats or have been exposed to guano, increasing the risk of zoonotic disease transmission (W. H. Stiver, personal observation). During our study, the Park contained ≥8 bat species known to use buildings during their annual life cycle (Kunz and Reynolds , Linzey ), 7 of which were known to be affected by WNS or carriers of P. destructans (Blehert et al , Bernard et al ).…”

Section: Study Areamentioning

confidence: 99%

Roost selection by bats in buildings, Great Smoky Mountains National Park

et al. 2017

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Bats roosting in buildings are a challenge for wildlife managers because of their conservation needs, capacity to transmit disease, and potential to damage structures. An understanding of roost selection by bats in buildings is important for effective management but was lacking in the southeastern United States. During 2015 and 2016, we surveyed 140 buildings in Great Smoky Mountains National Park in eastern Tennessee and western North Carolina, USA for bats, identifying 48 roost sites and detecting 5 species. We compared the microclimate conditions, building features, and habitat patch characteristics of buildings used and unused by bats using an information-theoretic approach. Averaged parameter estimates from logistic regression models developed with survey data indicated bat presence was more likely in old buildings with dark conditions surrounded by low road density. Of all roost buildings surveyed, 65.9% were accessed regularly by tourists and 68.2% were managed as historical structures. We present alternative management strategies that may be implemented to ensure human health and safety and preserve historical sites while protecting bats during the reproductive period. Ó 2017 The Wildlife Society.

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Section: Study Areamentioning

confidence: 99%

Roost selection by bats in buildings, Great Smoky Mountains National Park

et al. 2017

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“…However, their effects may be difficult to predict a priori and likely do not vary systematically given their inconsistency among montane mammals (McCain, 2009b; Mccain & Beck, 2016; Mena & Vázquez‐Domínguez, 2005). For example, among our set of four typical mountains, one exhibits the most discrete turnover between mid‐elevations and high elevations (N. Taibai, Shuai et al, 2017), two have major transitions between low elevations and mid‐to‐high elevations (Toiyabe, Kohli et al, 2021; and Snežnik, Kryštufek et al, 2011), and the fourth does not have a well‐defined turnover point (Great Smoky Mountains, Linzey, 2016).…”

Section: Discussionmentioning

confidence: 98%

“…Nearly half (24 of 49) of the gradients used in our analysis have never been included in previous comparative analyses of this type (Guo et al, 2013; McCain, 2005, 2009b) and nine others were updated with new data based on more recently published field surveys (e.g., Mt. Kinabalu, Camacho‐Sanchez et al, 2019; Great Smoky Mountains, Linzey, 2016), more rigorously vetted museum records (e.g., Utah mountain ranges; Rowe & Lidgard, 2009), or both (Rowe & Lidgard, 2009). For three additional gradients (Ruby Mountains, Snake Range, Yosemite) we chose to replace data used previously, which incorporated records from the early 20th century (Grinnell & Storer, 1924; Rickart, 2001), with new rodent elevational data derived exclusively from more recent, comprehensive, multi‐year faunal surveys that used comparable methods and effort across the entire gradient (Kohli et al, 2021; Rowe et al, 2015).…”

Section: Methodsmentioning

confidence: 99%

Elevational diversity patterns of rodents differ between wet and arid mountains

Kohli

Miyajima

Jarzyna

2022

Global Ecol. Biogeogr.

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Aim: Patterns of species richness along elevation gradients vary with geographic and environmental factors but evidence for similar variation in functional and phylogenetic diversity remains scarce. Here, we provide the most comprehensive evaluation to date of elevational gradients in taxonomic, functional, and phylogenetic diversity of rodents -one of the most ecologically diverse groups of mammals -and test the effects of latitude and aridity on their variation for the first time.Location: Forty-nine mountains on five continents. Time period: Contemporary.Major taxa studied: Rodents (Rodentia). Methods:We compiled elevational distributions of 374 rodent species across 49 elevational gradients. For each gradient, we quantified -in 100-m elevational bins -rodent species richness and functional and phylogenetic richness, evenness, and dispersion, and their species richness-corrected equivalents. To assess how rodent diversity varies with elevation, we fitted a series of models that included elevation, average latitude, and aridity of each mountain system while accounting for variation in study design and sampling effort.Results: A common mid-elevational peak in species richness among mountains contrasts with functional and phylogenetic diversity pattern variation (model shape and slope) explained by the aridity at a mountain's base. Specifically, we find that functional and phylogenetic richness and dispersion decline with elevation in wet mountain systems but increase with elevation in arid mountains. Main conclusions:In this first comparative analysis of mammal functional and phylogenetic elevational gradients, we find that the decoupling of each from species richness is particularly pronounced in arid regions. Wet-mountain lowlands and aridmountain highlands harbour the most functionally and phylogenetically diverse rodent communities, indicating that water availability is a strong environmental filter in structuring diversity of small mammals on mountain gradients. High regularity of species distances within assemblages supports a constant role for competition across all elevations and niche expansion in elevations with greater species richness.

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“…Although there are no studies that delimit the habitable elevation range of G. volans , the presence of the species has been reported from 450 to 1,431 m a.s.l. (Merritt et al 2001; Linzey 2016). However, with a careful review of the observations and collection sites of the southern flying squirrel stored in the GBif, we found that the species inhabits a wider altitudinal range, approximately from zero to 1,743 m a.s.l.…”

Section: Methodsmentioning

confidence: 99%

Landscape genetics of the Southern Flying Squirrel (Glaucomys volans) in the northeastern United States

Vivas-Toro

Sagot

León-Ávila

et al. 2023

Journal of Mammalogy

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Understanding how changes in landscape properties influence common species is relevant as it allows us to identify patterns that could be shared with co-distributed species that occupy the same landscapes. The northeastern United States (NE-USA: New York state and the six states of New England) is heavily urbanized and affected by continuous and prolonged anthropogenic activities, leading to intensive landscape fragmentation and loss of natural forests. Here, we used a landscape genetics approach to explore the genetic diversity and structure of the Southern Flying Squirrel, Glaucomys volans, and how resulting patterns may be related to landscape fragmentation and forest loss in the NE-USA. To study G. volans genetic variation and population structure, we amplified and genotyped 10 microsatellites loci from DNA extracted from tissue samples stored in biological collections and natural history museums. To assess the influence of landscape on gene flow and connectivity, we used two genetic distances metrics–proportion of shared alleles and codominant marker, and tested two landscape cost models approaches–least cost path and isolation by resistance. We identified three genetic clusters, with low but significant genetic differentiation between them. We did not find correlation between geographic distance and genetic variation in these populations. According to landscape models, land cover and elevation were the best predictors of genetic connectivity of G. volans, although were poorly related to genetic distances. Our results suggest that gene flow occurs between G. volans populations across the NE-USA despite the changed landscape configuration, implying potential dispersal of individuals between patches. Nonetheless, individuals from the eastern periphery of the distribution may have been temporarily isolated in the past due to historical deforestation. The current regeneration of hardwood forests represents a positive outlook for the genetic integrity of G. volans populations in the NE-USA because more possibilities for corridors and patches of habitable forests emerge. These changes would improve the connectivity of the species in the region and avoid possible local extinction events.

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Mammals of Great Smoky Mountains National Park: 2016 Revision

Cited by 7 publications

References 38 publications

Roost selection by bats in buildings, Great Smoky Mountains National Park

Roost selection by bats in buildings, Great Smoky Mountains National Park

Elevational diversity patterns of rodents differ between wet and arid mountains

Landscape genetics of the Southern Flying Squirrel (Glaucomys volans) in the northeastern United States

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