Individual-based seasonal habitat selection in a forest-dwelling population of reintroduced bison Bison bison

Thomas, Julie P.; Larter, Nicholas C.; Jung, Thomas S.

doi:10.2981/wlb.00852

Cited by 9 publications

(4 citation statements)

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“…The type of ecosystem and its suitability as a shelter also play a role in their movements. Similar analyses have been conducted for both European bison (Hebblewhite et al, 2008;Van Beest et al, 2010) and American bison (Bison bison) (Rivals et al, 2007;Thomas et al, 2021). However, detailed information regarding the specific habitat types preferred by European bison has yet to be accurately described, as previous studies have only covered periods of abundant foraging or vegetative rest without delving into the structure of the forest stands and ecosystems preferred by these animals (Thomas et al, 2021;Schneider et al, 2013;Perzanowski et al, 2019).…”

Section: Introductionmentioning

confidence: 82%

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2024

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Papua, known as one of the wettest regions in the world with annual precipitation ranging from 2400 to 4500 mm, faces a high risk of flooding, especially during La Niña, as observed in 2018 and 2022. Conversely, the region also experiences forest fires, mainly in the southern areas of Papua, during periods of extreme dry conditions brought about by El Niño events, as seen in 2002, 2004, and 2015. Given the increasing frequency of extreme climate events in the context of climate change, understanding the impact of global climate phenomena such as El Niño Southern Oscillation (ENSO) on Papua is crucial. This research aims to analyze the influence of ENSO and the Indian Ocean Dipole (IOD) on forest fires and flood risk in Papua, Indonesia. The analysis of forest fires utilizes MODIS hotspot and ERA5 precipitation data, employing quantitative modeling techniques such as Lasso and Elastic Net Regression. It integrates both ENSO and IOD indices into the precipitation indicators. In contrast, flood analysis is carried out through distribution and joint pattern analysis. The Elastic Net Regression yields promising results in modeling, with more than 96% of the tested models successfully predicting the total annual hotspots for each year, achieving an R-squared value of 90%. This suggests that the method and algorithm used can serve as a robust model for early hotspot prediction in the analyzed area. The warm phases of ENSO and IOD consistently exhibit a positive correlation with the dry season. However, the cold phases of these phenomena do not significantly impact heavy and extreme precipitation indicators in the studied region. The flood analysis reveals that La Niña has only a slight effect on all three precipitation patterns in the analyzed area, primarily by increasing the risk of extreme precipitation indicators. Conversely, negative IOD demonstrates inconsistency across all three precipitation patterns in Papua.

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Section: Introductionmentioning

confidence: 82%

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2024

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“…Fecal analysis of accidentally introduced banteng in KKKC [16] and in northern Australia [52] confirmed that some dietary items, especially grass species, may be limited in the dry season [62]. This forces banteng to change their forage species to dicotyledons, as found in reintroduced bison (Bison bison) in the USA [63].…”

Section: Species Distribution Models and Preferred Habitatmentioning

confidence: 99%

The Preferred Habitat of Reintroduced Banteng (Bos javanicus) at the Core and the Edge of Salakphra Wildlife Sanctuary, Thailand

Chaiyarat,

Ingudomnukul,

Yimphrai

et al. 2023

Animals

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Monitoring of banteng (Bos javanicus) after reintroduction is important for their management. This study aimed to monitor the preferred habitat and area of use of reintroduced banteng at the core (13 banteng) and the edge (three banteng) of Salakphra Wildlife Sanctuary between 2019 and 2021 and compared the finding with previous studies conducted from 2014 to 2019. The Binary Logistic Regression (BLR) showed the most preferred, moderately preferred, and least preferred areas were 44.7 km2, 1.2 km2, and 54.1 km2 in the dry season, and 25.9 km2, 1.0 km2, and 9.3 km2 in the wet season, respectively. Maximum Entropy (MaxEnt) showed the most preferred, moderately preferred, and least preferred areas as 12.1 km2, 17.3 km2, and 65.9 km2, respectively. Banteng have previously been found close to ponds and salt licks. The area of use size, as determined by Minimum Convex Polygon (MCP) and Kernel Density Estimation (KDE), was 20.3 km2 and 6.5 km2, respectively. Three banteng were reintroduced to the edge area in 2020. The edge area was temporarily utilized by these individuals. In the core area, the area of use in this study decreased compared to the previous studies from 2014 to 2019, indicating they were able to find their preferred habitat. This study suggested that, if the area is managed appropriately, banteng will be able to live in a smaller habitat, and we will be able to restore the banteng population in the future.

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“…Individual variation has also been observed in response to anthropogenic activities and associated habitat modifications at fine spatial scales (Mitchell et al 2020). Individual‐level modeling can reveal variation in habitat selection and avoidance behavior that may otherwise be obscured when individuals are pooled in population‐level analyses (Leclerc et al 2016, Lesmerises and St‐Laurent 2017, Thomas et al 2021).…”

Section: Introductionmentioning

confidence: 99%

“…one location every 4 h; Cagnacci et al 2010) of brood‐rearing female sage‐grouse. We used generalized linear models fitted for each individual to evaluate individual‐level responses and then averaged individual‐level model estimates to make population‐level inference for the anthropogenic covariates of interest (Prokopenko et al 2017, Thomas et al 2021). The specific questions addressed in our study included: 1) what habitat selection and avoidance choices are female sage‐grouse making as they try to raise young in an area of widespread oil and gas development?…”

Section: Introductionmentioning

confidence: 99%

Using individual‐based habitat selection analyses to understand the nuances of habitat use in an anthropogenic landscape: a case study using greater sage‐grouse trying to raise young in an oil and gas field

Kirol,

Fedy

2023

Wildlife Biology

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Habitat selection analyses conducted at an individual level may reveal patterns in selection not apparent when individuals are pooled in population‐level approaches. Using GPS transmitters that gather high‐resolution location data, we explored fine‐scale habitat selection and space use within home ranges of female greater sage‐grouse Centrocercus urophasianus that raised young (brood‐rearing sage‐grouse) in an oil and gas development area. To evaluate fine‐scale habitat selection of brood‐rearing sage‐grouse we used a two‐stage approach. First, we developed models for each individual (i.e. individual‐level modeling) and evaluated individual‐level responses to modified habitats and infrastructure. Second, we averaged individual‐level estimates using a bootstrap approach to make population‐level inference. The average home range size during brood‐rearing in our study, from nest hatch to six weeks, was 0.85 ± 0.21 km2. Individual and population‐level results indicated that brood‐rearing females consistently selected for natural vegetation and avoided disturbed surfaces at a fine spatial scale. Our study area included substantial areas of recent (≤ 10 years) habitat reclamation which females also avoided. Visible power lines consistently led to avoidance behavior. In addition to consistent patterns of habitat selection, our individual models demonstrated variability and contrasting behaviors in how brood‐rearing females responded to specific infrastructure features and anthropogenic water bodies. At the population‐level anthropogenic water bodies were avoided but at the individual‐level the intensity of avoidance was variable among individuals. Individual variability was often explained by the age of the brood‐rearing female (first year or adult). First year females were more likely than adults to use habitats close to infrastructure and consistently established home ranges in areas with more surface disturbance and infrastructure when compared to adults. Our results provide new insights into fine‐scale habitat‐selection strategies used by female sage‐grouse with broods in an area where oil and gas infrastructure is widespread and cannot be avoided.

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Individual-based seasonal habitat selection in a forest-dwelling population of reintroduced bison Bison bison

Abstract: BioOne Complete (complete.BioOne.org) is a full-text database of 200 subscribed and open-access titles in the biological, ecological, and environmental sciences published by nonprofit societies, associations, museums, institutions, and presses.

Cited by 9 publications

References 66 publications

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The Preferred Habitat of Reintroduced Banteng (Bos javanicus) at the Core and the Edge of Salakphra Wildlife Sanctuary, Thailand

Using individual‐based habitat selection analyses to understand the nuances of habitat use in an anthropogenic landscape: a case study using greater sage‐grouse trying to raise young in an oil and gas field

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