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Many carnivore populations have experienced substantial declines and are at increased risk of extinction, mainly due to negative interactions with humans and biological traits that make them susceptible to habitat loss and fragmentation, often driven by agricultural expansion. Carnivore community richness is likely influenced by many direct and indirect factors, though it is unclear how carnivore communities are structured in prairie landscapes that are considered one of the most imperiled ecosystems worldwide. Our goal was to identify landscape-scale effects driving carnivore community richness in a contemporary agro-prairie ecosystem. We used 3 years of presence data (2018–2020) from camera-trap sites (n = 381) distributed across western Kansas, United States and developed a structural equation model (SEM) to test a priori hypotheses explaining carnivore richness. Measures of water availability, native prairie, and agriculture—as well as sampling effort (i.e. days cameras were active)—were all positively associated with carnivore richness. Additionally, our index of rabbit abundances at sites had a direct positive effect on our measure of carnivore richness. Our SEM explained 42% of the variance in carnivore richness (χ2 = 8.76, d.f. = 21, P = 0.99) in this human-dominated landscape. Our results suggest that carnivore communities in agro-prairie landscapes are structured through multiple direct and indirect landscape-scale pathways. Contemporary agro-prairie mosaics may act as filters for the agricultural tolerance of carnivores, with species more vulnerable to native prairie loss becoming locally extirpated. [ABSTRACT FROM AUTHOR]

Context: Human-modified landscapes can structure species' distributions and supplant traditional biotic range-limiting processes. Understanding the direction and scale of these processes is necessary to enhance species conservation efforts. Objectives: We investigated how the distribution of a prairie-obligate carnivore, swift fox (Vulpes velox), is influenced by landscape pattern at the eastern edge of their used range. We also assessed the effects of a popular conservation effort, the conservation reserve program (CRP), on swift fox distributions. Methods: We used three years of detection/non-detection data (2018–2020) from camera traps at 381 sites to evaluate the spatial distribution of swift foxes at the eastern edge of their extant range in Kansas, USA. We used Gaussian Kernel functions to identify optimal scales of effect for measured landscape covariates and multiseason use models to reveal potential range-limiting constraints. Results: Swift foxes were more likely to occur at sites with moderate landcover diversity within 254.47 ha, greater proportion of shortgrass prairie (7.07 ha) and loamy soil types (0.79 ha), and lower proportions of CRP landcover (78.54 ha). Swift foxes were more likely to colonize sites with less diverse landcover, a greater proportion of loamy soil types, and lower proportions of CRP landcover. Swift foxes were insensitive to the proportion of row-crop agriculture surrounding sites (3.14 ha). Conclusions: Loamy soils and distribution of shortgrass prairie ecosystems may shape the periphery of the distribution for swift foxes. Landscape-scale use of CRP may constrain swift fox distributions at their range edge because managed vegetation structure of CRP does not mimic native shortgrass prairie. [ABSTRACT FROM AUTHOR]

Anthropogenic activities since the European colonization of the North American Great Plains have drastically altered landscape composition and configuration, subsequently affecting native biodiversity. These contemporary human‐modified landscapes may affect mammal species' distributions, diel activity patterns, habitat use, and interspecific interactions, though a better understanding of these effects on mammals occurring in remaining prairie landscapes is needed. To fill this gap, we surveyed 381 randomly selected sites in 2018, 2019, and 2020 using motion‐sensing camera traps across the western part of the US state of Kansas (7,160,077 ha). Sites were separated by ≥2 km (x¯$$ \overline{x} $$ = 8.16 km, SD = 3.61), and cameras were secured to a metal post 40 cm above ground and randomly oriented toward the north or south. We placed an olfactory attractant (mixture of skunk essence and petroleum jelly) on a wooden stake 3 m in front of each camera. Cameras were in place at each site for 28 consecutive days for each year. We manually identified all mammal species detected at each site, collating these data into a database that included taxonomic information for 14 families of mammals (Antilocapridae, Bovidae, Canidae, Cervidae, Cricetidae, Dasypodidae, Didelphidae, Erethizontidae, Felidae, Heteromyidae, Leporidae, Mephitidae, Mustelidae, Procyonidae, Sciuridae, and Muridae) comprising 28 total species. We recorded 31,178 mammal photographs (nonindependent events) over 27,954 camera trap nights during 2018 (n = 10,351), 2019 (n = 9478), and 2020 (n = 8125). Additionally, we included the time and date of each photocapture. Moreover, we gathered survey‐specific data useful for modeling species‐specific detection along with site‐level habitat composition data taken at each site each year. These data will be useful for examining habitat use, species distributions, diel activity patterns, and spatiotemporal interactions between species and across guilds of mammals occurring in a rapidly changing agro‐prairie ecosystem. There are no copyright restrictions, but we ask researchers to cite this paper when using these data for publication. [ABSTRACT FROM AUTHOR]

ABSTRACT: The Flint Hills ecoregion is the largest remaining tract of native tallgrass prairie in North America. Contemporary landscape change (e.g., urbanization, agricultural production) in this region is likely affecting native biodiversity; however, we have a limited understanding of how these changes might affect carnivores. We used camera traps distributed across urban‐rural land‐use gradients, and multiseason occupancy models, to investigate the influence of landscape structure and composition on habitat occupancy dynamics of 3 native carnivores (coyote [Canis latrans]; bobcat [Lynx rufus]; and striped skunk [Mephitis mephitis]) and 1 nonnative carnivore (domestic cat) in the Flint Hills, Kansas, USA, during 2016–2017. Additionally, we assessed the potential for coyotes, the apex predator in the Flint Hills, to mediate habitat occupancy of domestic cats. We also examined the relative influence of landscape factors on native carnivore species richness and diversity. As predicted, coyotes were less likely to occupy and colonize sites, and more likely to leave sites, surrounded by urban landcover. Habitat occupancy by bobcats was positively associated with forest landcover and edge densities; however, bobcats seemed insensitive to urban landcover. Additionally, bobcats were more likely to colonize sites with more grassland and row‐crop agriculture landcover. Surprisingly, striped skunk occupancy and colonization rates at sites were negatively related to urban landcover. As expected, domestic cats were more likely to occur at and colonize sites with increased urban landcover and less likely at sites with high coyote occupancy probabilities. Carnivore species diversity and richness were negatively related to the urban landcover. Our results suggest that urban landcover may limit the spatial distributions of some native carnivores in the Flint Hills and contribute to reduced carnivore diversity. Moreover, urban landcover in the Flint Hills may provide domestic cats with refugia from intraguild pressures by coyotes. Our results provide wildlife managers with insights into how contemporary landscape change in this imperiled ecosystem may affect biodiversity conservation and maintenance. © 2018 The Wildlife Society. [ABSTRACT FROM AUTHOR]

Grasslands are among the most widely distributed, but most imperiled, biomes on Earth. North American grasslands once covered ~162 million ha prior to European colonization, but only ~30 % of this landcover currently remains due to continued human-modified landscape changes. Strategic conservation of remaining grassland landcover, which considers species-specific habitat requirements, is critical for the persistence of grassland species and has become a global priority. Intact grassland landcover is critical for swift fox (Vulpes velox), a facultative prairie carnivore, and we sought to strategically identify areas where grassland conservation would most impact population persistence in an agro-prairie ecosystem. We modeled site (n = 381) occupancy by swift foxes using three years of camera-trap data (2018–2020) from western Kansas, USA, and integrated known-fate survival information to identify priority native grassland conservation areas. Additionally, we evaluated ownership of our identified priority conservation lands to determine strategies for conservation delivery. Our grassland assessment of two thresholds of predicted swift fox occupancy (≥0.09 [priority] and ≥0.18 [high priority]) identified 2,377,193 ha and 84,420 ha for conservation in Kansas, respectively. Identified conservation areas were overwhelmingly located on privately owned working lands (98 % [priority and high priority]), rather than federal, state, or non-governmental organization owned lands (2 % [priority and high priority]), and highlight the need for using conservation easements and incentive-based programs to promote grassland conservation to private landowners. [ABSTRACT FROM AUTHOR]