Habitat suitability and relative abundance of wild boars in the east‐central Tianshan Mountains, China DOI
Zikun Gao,

Ruifen Wang,

Yongqiang Yang

и другие.

Journal of Wildlife Management, Год журнала: 2024, Номер unknown

Опубликована: Окт. 28, 2024

Abstract As wild boar populations and their distribution ranges increase, human–wild conflicts have become increasingly prevalent in numerous regions across the globe. These a profound impact on human livelihoods, resulting significant economic losses. Understanding habitat requirements relative abundance of boars is crucial prior to implementing any conservation measures. However, studies population central eastern Tianshan Mountains China are lacking. We assessed activity patterns these areas evaluated suitability using combination camera trapping, line transects, species modeling (maximum entropy model), hierarchical (Bayesian N‐mixture model). used 311 infrared cameras 280 field‐based transects cover approximately 31,000 km² from September 2022 May 2023 east‐central Mountains. 240 locations 13 environmental predictors development models. also counts associated model estimate boar. Wild were most active during crepuscular hours (1800), relatively diurnal period compared nocturnal period. The probability occurrence increased with higher normalized difference vegetation index (NDVI), minimum temperature coldest month, annual temperatures below 39°C. Boars likely be found closed deciduous‐coniferous forests. was positively affected by NDVI negatively month range. Based our results, we suggest management priority. In particular, extensive intact substantial populations, such as Banfanggou, South Mountain Urumqi, Hutubi, should prioritized for long‐term monitoring so adverse impacts increasing study region can minimized.

Язык: Английский

Species distribution modelling and landscape connectivity as tools to inform management and conservation for the critically endangered Himalayan brown bear (Ursus arctos isabellinus) in the Deosai National Park, Pakistan DOI Creative Commons

Tosif Fida,

Alireza Mohammadi, Kamran Almasieh

и другие.

Frontiers in Ecology and Evolution, Год журнала: 2025, Номер 12

Опубликована: Янв. 13, 2025

The main cause of the global threat to large carnivore populations living in high-altitude areas is human pressure. Himalayan brown bear ( Ursus arctos isabellinus , hereafter bear) listed as a critically endangered species, and it dominates higher altitudes North Western landscapes. Here, we used species distribution modelling landscape connectivity find bears’ suitable habitats corridors Deosai National Park (DNP) surrounding areas. Species models detected bear’s habitat 1,125 km 2 which ca. 73% was covered by DNP. most crucial predictors determining were elevation—particularly if between 3,500 4,500 meters above sea level—as well distance from rivers, cattle, DNP borders. We discovered robust among presence points core study area, particularly within boundaries, using electrical circuit theory models. Landscape values indeed low some outside close confines. Based on our findings, imperative protect that allow bears migrate patches, beyond park’s improve conservation.

Язык: Английский

Процитировано

1
Interspecific effects of invasive wild pigs (Sus scrofa) on native nine-banded armadillos (Dasypus novemcinctus) DOI Creative Commons
Matthew S. Broadway, Holly M. Todaro,

Molly M. Koeck

и другие.

Journal of Mammalogy, Год журнала: 2025, Номер unknown

Опубликована: Апрель 21, 2025

Abstract Biological invasions pose significant risks to ecosystems and native species. Wild pigs (Sus scrofa) are a highly detrimental invasive species in North America, directly indirectly affecting Co-occurrence of wild may lead interspecific interactions that alter ecological communities. Accordingly, we investigated spatial temporal factors influencing detection occupancy Eurasian Pig Nine-banded Armadillo (Dasypus novemcinctus) before examining effects. We analyzed camera-trap data collected from August September 2021 using hierarchical modeling framework estimate both individually (single-species analyses) concurrently (conditional co-occurrence analyses). observed higher rates space use late summer areas with greater riparian cover, respectively. increased linearly throughout our sampling season response precipitation. Moreover, armadillo was 3.5 5.1× at sites used by pigs, regardless whether were detected during survey period. Occupancy best explained quadratic trend site elevation but did not depend on the presence pigs. Our results indicate influence (or site-use intensity), occupancy, therefore revealing nuanced interactions. Between species, high overlap diel activity significantly different peaks, armadillos being strictly nocturnal crepuscular more cathemeral activity, suggesting fine-scale partitioning have occurred. provide insights into large-bodied destructive (Wild Pig) smaller, ecologically important (Nine-banded Armadillo).

Язык: Английский

Процитировано

0
Impacts of Wild Pigs on Space Use and Movements of Wild Turkeys During Autumn and Winter DOI Creative Commons
Travis E. Stoakley,

Stephen J. Zenas,

Vienna R. Brown

и другие.

Ecology and Evolution, Год журнала: 2025, Номер 15(5)

Опубликована: Май 1, 2025

ABSTRACT Wild pigs ( Sus scrofa ) affect native flora and fauna in the areas they invade, including ground‐nesting birds. While results from camera‐based studies have suggested that wild could spatiotemporally impact resource selection of turkeys Meleagris gallopavo ), there has yet to be published a foundational mechanism proposed support such impact. Additionally, while autumn winter seasons serve as an important period for improving body condition spring breeders like turkeys, exists knowledge gap literature with respect potential impacts on during this non‐breeding period. We novel methodology exploring spatiotemporal relationship between through co‐employment camera survey estimate pig activity GPS units monitor turkey space use. Our study monitored 12 across 9000‐ha area east‐central Alabama seasons. hypothesized would exhibit reduced use altered movement rates greater activity. displayed slower had lower predicted probabilities daytime roost site was limited one season, but paired previous studies, we propose perceived disturbance risk leading avoidance also believe compete hard mast, which explain negative among female hardwood riparian areas. showcases value pairing multiple data types (e.g., GPS‐data estimates) future interspecific wildlife research.

Язык: Английский

Процитировано

0
Comparison of daily activity patterns across seasons using GPS telemetry and camera trap data for a widespread mammal DOI Creative Commons
David W. Wolfson, Peter E. Schlichting, Raoul K. Boughton

и другие.

Ecosphere, Год журнала: 2023, Номер 14(12)

Опубликована: Дек. 1, 2023

Abstract Daily activity patterns of animals can be dynamic across seasons in response to changing environmental conditions. activity, though, has rarely been evaluated relation multiple factors (e.g., seasons, demographics, and data collection methods), which could important for understanding what drives patterns. Here, we the daily a widespread invasive species, wild pigs ( Sus scrofa ), two ecologically different study areas at Buck Island Ranch, FL, Tejon CA, from 2015 2018. Using GPS telemetry (62 individuals 21 CA) detections grids systematically placed motion‐activated cameras (44 48 CA), compared among sexes, methods (GPS camera traps). Overall, were mostly active during crepuscular nocturnal periods, with their lowest diurnal periods; however, varied due several factors. similar between methods, sexes subtropical climate Florida. In contrast, exhibited greater differences California, where seasonal temperature precipitation more pronounced. estimated using camera‐based not only high degree overlap comparisons but also marked that should recognized. Given increasing evaluation types datasets, our provides ecologists valuable information consider when designing ecological studies, interpreting results, comparing research systems studies.

Язык: Английский

Процитировано

7
A ‘how‐to’ guide for estimating animal diel activity using hierarchical models DOI Creative Commons
Fabiola Iannarilli, Brian D. Gerber,

John D. Erb

и другие.

Journal of Animal Ecology, Год журнала: 2024, Номер 94(2), С. 182 - 194

Опубликована: Ноя. 19, 2024

Animal diel activity patterns can aid understanding of (a) how species behaviourally adapt to anthropogenic and natural disturbances, (b) mechanisms co-existence through temporal partitioning, (c) community or ecosystem effects shifts. Activity often vary spatially, a feature ignored by the kernel density estimators (KDEs) currently used for estimating activity. Ignoring this source heterogeneity may lead biased estimates uncertainty misleading conclusions regarding drivers Thus, there is need more flexible statistical approaches testing hypotheses their biotic abiotic drivers. We illustrate trigonometric terms cyclic cubic splines combined with hierarchical models provide valuable alternative KDEs. Like KDEs, these accommodate circular data, but they also account site-to-site other sources variability, correlation amongst repeated measures, variable sampling effort. They readily quantify test related covariates on patterns. Through empirical case studies, we changes in levels due seasonality response factors (e.g. stressors co-occurrence). describe frequentist Bayesian quantifying site-specific (conditional) population-averaged (marginal) guidelines tutorials detailed step-by-step instructions fitting interpreting applied time-stamped such as those recorded camera traps audio recorders. conclude that approach offers viable, flexible, effective KDEs when modelling animal

Язык: Английский

Процитировано

2
Assessing the potential of camera traps for estimating activity pattern compared to collar‐mounted activity sensors: a case study on Eurasian lynx Lynx lynx in south‐eastern Norway DOI Creative Commons
Elena Iannino, John D. C. Linnell, Olivier Devineau

и другие.

Wildlife Biology, Год журнала: 2024, Номер unknown

Опубликована: Июль 16, 2024

The diel activity patterns of animals convey information about physiology, ecological niches and animal behaviour relevant for both applied conservation more theoretical research. However, these are challenging to study in the field. current gold‐standard approach quantify movements medium large wildlife species is use global positioning systems (GPS) collars equipped with sensors (e.g. accelerometers). A recent consists inferring from time‐stamped pictures obtained camera traps now routinely used monitoring projects. few studies have attempted validate estimates against those sensors. In this study, we compared pattern Eurasian lynx Lynx inferred detections by a network over 300 active between 2010 2020, 18 GPS‐collared (8 females, 10 males) 2‐axis accelerometer sensors, same area southern Norway. Our results suggest that can be estimate curves comparable accelerometers. our 75 were sufficient approximate accelerometer. Subsampling indicated low number coarser approximation pattern.

Язык: Английский

Процитировано

0
Habitat suitability and relative abundance of wild boars in the east‐central Tianshan Mountains, China DOI
Zikun Gao,

Ruifen Wang,

Yongqiang Yang

и другие.

Journal of Wildlife Management, Год журнала: 2024, Номер unknown

Опубликована: Окт. 28, 2024

Abstract As wild boar populations and their distribution ranges increase, human–wild conflicts have become increasingly prevalent in numerous regions across the globe. These a profound impact on human livelihoods, resulting significant economic losses. Understanding habitat requirements relative abundance of boars is crucial prior to implementing any conservation measures. However, studies population central eastern Tianshan Mountains China are lacking. We assessed activity patterns these areas evaluated suitability using combination camera trapping, line transects, species modeling (maximum entropy model), hierarchical (Bayesian N‐mixture model). used 311 infrared cameras 280 field‐based transects cover approximately 31,000 km² from September 2022 May 2023 east‐central Mountains. 240 locations 13 environmental predictors development models. also counts associated model estimate boar. Wild were most active during crepuscular hours (1800), relatively diurnal period compared nocturnal period. The probability occurrence increased with higher normalized difference vegetation index (NDVI), minimum temperature coldest month, annual temperatures below 39°C. Boars likely be found closed deciduous‐coniferous forests. was positively affected by NDVI negatively month range. Based our results, we suggest management priority. In particular, extensive intact substantial populations, such as Banfanggou, South Mountain Urumqi, Hutubi, should prioritized for long‐term monitoring so adverse impacts increasing study region can minimized.

Язык: Английский

Процитировано

0