Resource selection of a montane endemic: Sex-specific differences in white-bellied voles (Microtus longicaudus leucophaeus)

Dutt, N.; Veals, Amanda M.; Koprowski, John L.

doi:10.1371/journal.pone.0242104

Cited by 6 publications

(6 citation statements)

References 65 publications

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“…Our approximate 6-7 m of location error was at the lower end of that range and closely approached the suggested distance of 5 m to maintain accuracy given our study area size (60.7 ha) and relative patch sizes (~ 5-10 ha) [46]. Current in-depth resource selection studies of small mammals using micro-VHF devices are limited and even fewer have detailed telemetry error assessments [1,15,17,23,31,32,76]. Therefore, it was difficult to gauge what distance would create an impactful bias in a small mammal study.…”

Section: Discussionsupporting

confidence: 57%

“…Because of differences in size, overlap, and perimeter-to-area calculations, different programs identified different dominant cover types or significant changes in percentage of land cover type across the KDE home ranges. While that difference is logical, it is worthy of consideration given the scale of and impact to small mammal resource selection analyses [31,32,76]. For animals that utilize such small spaces, in variable habitats, this could be highly impactful to a study's findings and conclusions.…”

Section: Discussionmentioning

confidence: 99%

“…Over the last decade, researchers have continued to develop radio telemetry equipment for small mammals, and VHF collars remain a cost effective, preferred method of collecting locational information on small mammals that were under heavy forest canopies, burrow underground, or spend any time underwater [12,27]. Recent advances in micro-VHF trackers (< 1.0 g) are enabling more accurate estimates of small mammal movements, resource selection, seasonal effects, territorial behaviors, and microhabitat use [27][28][29][30][31][32]. While these advancements in micro-VHF trackers are enabling us to address ecology and management needs of small mammals, there remain considerable limitations in tracking methodology for micro-VHF devices.…”

Section: Introductionmentioning

confidence: 99%

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Very small collars: an evaluation of telemetry location estimators for small mammals

Hummell

Mullinax

2022

Anim Biotelemetry

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Background Fine-scale tracking of animals such as Peromyscus spp. is still done with micro-very high frequency collars due to the animal’s small size and habitat usage. In most cases, tracking micro-very high frequency collars requires manual telemetry, yet throughout the literature, there is little reporting of individual telemetry methods or error reporting for small mammal spatial analyses. Unfortunately, there is even less documentation and consensus on the best programs used to calculate fine-scale animal locations from compass azimuths. In this study, we present a strategy for collecting fine-scale spatial data on Peromyscus spp. as a model species for micro-very high frequency collars and assess multiple programmatic options and issues when calculating telemetry locations. Results Mice were trapped from April to October 2018–2019 with Sherman traps in Howard County, Maryland, USA. Collars were placed on 61 mice, of which 31 were included in the analyses. We compared the two most cited location estimator programs in the literature, location of a signal software and Locate III, as well as the Sigloc package in program R. To assess the programmatic estimates of coordinates at a fine scale and examine programmatic impacts on different analyses, we created and compared minimum convex polygon and kernel density estimator home ranges from locations produced by each program. We found that 95% minimum convex polygon home range size significantly differed across all programs. However, we found more similarities in estimates across calculations of core home ranges. Kernel density estimator home ranges had similar patterns as the minimum convex polygon home ranges with significant differences in home range size for 95% and 50% contours. These differences likely resulted from different inclusion requirements of bearings for each program. Conclusions This study highlights how different location estimator programs could change the results of a small mammal study and emphasizes the need to calculate telemetry error and meticulously document the specific inputs and settings of the location estimator.

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Section: Discussionsupporting

confidence: 57%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Very small collars: an evaluation of telemetry location estimators for small mammals

Hummell

Mullinax

2022

Anim Biotelemetry

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“…We standardized all continuous variables by subtracting the mean of the variable and dividing by the standard deviation. We used standardized regression coefficients to provide an index of the importance of cropland relative to other covariates (Murray and Conner 2009, Dutt et al 2020). The global second‐order model included the covariates percent land cover of cropland, NDVI, NDVI 2 , density of paved roads, density of unpaved roads, density of permanent water, percent slope, and an interaction between NDVI and percent slope.…”

Section: Methodsmentioning

confidence: 99%

Influence of cropland on resource selection by pronghorn

et al. 2023

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Pronghorn (Antilocapra americana) are a grassland specialist that have experienced a >60% reduction in their historical range due to habitat fragmentation and encroachment of woody vegetation. Pronghorn populations are increasing in the Texas Panhandle despite conversion of grassland to cropland (27-43% of the regional landscape) and associated fragmentation. We hypothesized that pronghorn avoid cropland when selecting seasonal home ranges and avoid cropland within their home ranges. We captured 64 adult pronghorn of equal sex ratios in both the High Plains (n = 32) and Rolling Plains (n = 32) ecoregions of Texas, USA, during February 2017 and fitted them with iridium satellite global positioning system (GPS) collars. We collared 27 additional pronghorn in 2018 to account for mortalities and collar failures. We estimated resource selection functions for the High Plains and Rolling Plains populations using mixed-effects logistic regression at the home range (second order) and within home range (third order) scales separately for each ecoregion and season (fawning, summer, rut, and winter). Our hypothesis that pronghorn avoid cropland was supported in the Rolling Plains ecoregion at the home range scale; otherwise, cropland was inconsistently and seasonally important in resource selection. Furthermore, pronghorn often avoided paved roads more strongly than cropland. At the home range scale during 2017-2019, female pronghorn in the High Plains selected cropland during rut and winter. Males exhibited weak selection

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“…Sex‐specific spatial segregation (i.e., sex segregation) has been studied in plants, birds, fishes, and mammals, with most studies focused on ungulates (Bowyer et al 2001, Long et al 2009, Dutt et al 2020). Pronounced sexual dimorphism in ungulates promotes spatial segregation that allows each sex to procure resources necessary for survival and to meet their varied energetic demands while limiting intraspecific competition (Bowyer 2004).…”

mentioning

confidence: 99%

Sex‐specific differences and long‐term trends in habitat selection of American woodcock

Slezak,

Masse,

McWilliams

2023

J Wildl Manag

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Effective wildlife management requires an understanding of how individuals select environmental factors, although few studies assess how habitat selection may differ over time or between sexes. During the post‐breeding period (15 May to 1 Sep), we tracked 146 male American woodcock (Scolopax minor) in Rhode Island, USA, from 2010–2021 to assess how habitat selection varied over time, and 17 females and 51 males during the final 2 years of the study to document sex‐specific differences in habitat selection. Males generally had smaller home ranges (35.0 ± 10.7 [margin of error] ha) and preferred habitat mosaics that consisted of forested wetlands, young forest patches, areas of deciduous forest, moist soils with gentle slopes, and riparian corridors. We detected subtle differences between sexes in selection for wetland young forest, upland young forest, percent slope, distance to upland young forest, distance to streams, and distance to moist soils. During 2020–2022, females tended to have larger home ranges (78.7 ± 46.4 ha) than males (35.0 ± 10.7 ha) and more strongly selected sites closer to riparian corridors, while males selected areas that were closer to upland young forest with flatter slopes than the available surrounding landscape. Such sex‐specific differences in habitat selection may be related to males and females prospecting for potential breeding sites during this post‐breeding period for the following spring. We used the top‐ranked habitat selection models for males and females to produce a spatially explicit state‐wide map that identifies low‐to‐high likelihood of use areas that can be used to guide forest management decisions in southern New England to maximize benefits for American woodcock.

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Resource selection of a montane endemic: Sex-specific differences in white-bellied voles (Microtus longicaudus leucophaeus)

Cited by 6 publications

References 65 publications

Very small collars: an evaluation of telemetry location estimators for small mammals

Very small collars: an evaluation of telemetry location estimators for small mammals

Influence of cropland on resource selection by pronghorn

Sex‐specific differences and long‐term trends in habitat selection of American woodcock

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