Geospatial modelling of overlapping habitats for identification of tiger corridor networks in the Terai Arc landscape of India

Rautela, Nupur; Shanu, Saurabh; Agarwal, Ambuj Kumar; Bhattacharya, Sitangshu; Roy, Arijit

doi:10.1080/10106049.2022.2095444

Cited by 3 publications

(4 citation statements)

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“…The conservation of tigers is a vital issue, and our study has revealed some crucial insights into their habitat in the IEHR. (Dutta et al, 2016;Natesh et al, 2017;Rautela et al, 2022;Thatte et al, 2017). However, our study also highlights the concerning fact that only 20.03% of the high-priority areas for tiger conservation in the IEHR under protection, while a substantial 57.97% of the area outside PAs lacks wildlife protection (Wikramanayake et al, 2011).…”

Section: Conservation Priority Areas (Cps)mentioning

confidence: 57%

“…Our study further demonstrates that the potential habitat for tigers outside of PAs, encompassing high and highest priority areas, is more extensive compared to within PAs. Consequently, it is crucial to preserve tiger habitats beyond PAs to facilitate gene flow through migration corridors (Dutta et al, 2016 ; Natesh et al, 2017 ; Rautela et al, 2022 ; Thatte et al, 2017 ). However, our study also highlights the concerning fact that only 20.03% of the high‐priority areas for tiger conservation in the IEHR under protection, while a substantial 57.97% of the area outside PAs lacks wildlife protection (Wikramanayake et al, 2011 ).…”

Section: Discussionmentioning

confidence: 99%

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Can Bengal Tiger (Panthera tigris tigris) endure the future climate and land use change scenario in the East Himalayan Region? Perspective from a multiple model framework

Deka,

Ali,

Ahamad

et al. 2023

Ecology and Evolution

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Large mammals are susceptible to land use and climate change, unless they are safeguarded within large, protected areas. It is crucial to comprehend the effects of these changes on mammals to develop a conservation plan. We identified ecological hotspots that can sustain an ecosystem for the endangered Bengal tiger (Panthera tigris tigris), an umbrella species. We developed three distinct ensemble species distribution models (SDMs) for the Bengal tiger in the Indian East Himalayan Region (IEHR). The first model served as the baseline and considered habitat type, climate, land cover, and anthropogenic threats. The second model focused on climate, land use, and anthropogenic threats, the third model focused on climate variables. We projected the second and third models onto two future climate scenarios: RCP 4.5 and RCP 8.5. We evaluated the threats possess to protected areas within eco‐sensitive zone based on the potential tiger habitat. Finally, we compared the potential habitat with the IUCN tiger range. Our study revealed that the Brahmaputra valley will serve as the primary habitat for tigers in the future. However, considering the projected severe climate scenarios, it is anticipated that tigers will undergo a range shift towards the north and east, especially in high‐altitude regions. Very high conservation priority areas, which make up 3.4% of the total area, are predominantly located in the riverine corridor of Assam. High conservation priority areas, which make up 5.5% of total area are located in Assam and Arunachal Pradesh. It is important to note that conservation priority areas outside of protected areas pose a greater threat to tigers. We recommend reassessing the IUCN Red List's assigned range map for tigers in the IEHR, as it is over‐predicted. Our study has led us to conclude both land use and climate change possess threats to the future habitat of tigers. The outcomes of our study will provide crucial information on identifying habitat hotspots and facilitate appropriate conservation planning efforts.

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Section: Conservation Priority Areas (Cps)mentioning

confidence: 57%

Section: Discussionmentioning

confidence: 99%

Can Bengal Tiger (Panthera tigris tigris) endure the future climate and land use change scenario in the East Himalayan Region? Perspective from a multiple model framework

Deka,

Ali,

Ahamad

et al. 2023

Ecology and Evolution

View full text Add to dashboard Cite

show abstract

“…The majority of the paper focuses on how computational algorithms and concepts that can be used to generate a cost surface over any landscape complex in order to better understand the dispersion patterns and use them for conservation purposes. It provides a basic computational foundation that, when combined with accurate field data and GIS modelling may be extremely beneficial to wildlife conservationists and managers (Rautela et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

A Computational Model for Determining Tiger Dispersal and Related Patterns in a Landscape Complex

Shanu¹,

Aggarwal²

2023

Preprint

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Species dispersal from a territorial zone is a complex process. The reasons for species dispersal are determined by both natural and human factors. The purpose of this study is to develop a cost surface for a hypothetical landscape that accounts for various species dispersion features. With tigers (Panthera Tigris Tigris) as the focal species, a model for a hypothetical landscape has been built to predict the dispersion patterns of the species' individuals from one habitat patch to another. Initially, four major factors influencing tiger dispersal are explored. Following that, Game Theory assigns a score to each grid in the landscape matrix based on the landscape features in the focal landscape. Specific predefined ratings are also utilized for scenarios that are very complex and may change depending on variables, such as the interaction of the dispersing tiger with co-predators. The two scores mentioned above are combined to create a cost matrix that is shown across a landscape complex to estimate the impact of each landscape component on tiger dispersal. This approach helps wildlife managers develop conservation plans by recognizing important characteristics in the landscape. The results of the model like the one described in this work might be beneficial for a wide range of wildlife management activities such as corridor management, smart patrols, and so on. A cost surface over any focal landscape may serve as a basis for policy and purpose design based on current landscape conditions.

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“…Most of this paper focused on computational algorithms and concepts that can be used to generate a cost surface over any landscape complex to better understand the dispersion patterns and use them for conservation purposes. It provides a basic computational foundation that, when combined with accurate field data and GIS modeling, may be extremely beneficial to wildlife conservationists and managers [34].…”

Section: Discussionmentioning

confidence: 99%

A Computational Model for Determining Tiger Dispersal and Related Patterns in a Landscape Complex

Shanu

Agarwal

2023

Sustainability

Self Cite

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Species dispersal from one territorial zone to another is a complex process. The reasons for species dispersal are determined by both natural and human factors. The purpose of this study is to develop a cost surface for a hypothetical landscape that accounts for various species dispersion features. With tigers (Panthera tigris tigris) as the focal species, a computational model for a landscape has been proposed to predict the dispersion patterns of the species’ individuals from one habitat patch to another. Knowing how tigers disperse is very crucial because it improves the likelihood of successful conservation. The likelihood is raised because it strengthens conservation efforts in the targeted regions identified by the proposed model and encourages landscape continuity for tiger dispersal. Initially, four major factors influencing tiger dispersal are explored. Following that, grids are overlaid over the tiger-carrying landscape map. Further, game theory assigns a score to each grid in the landscape matrix based on the landscape features in the focal landscape. Specific predefined ratings are also utilized for scenarios that are very complex and may change depending on variables, such as the interaction of the dispersing tiger with co-predators. The two scores mentioned above are combined to create a cost matrix that is shown across a landscape complex to estimate the impact of each landscape component on tiger dispersal. This approach helps wildlife managers develop conservation plans by recognizing important characteristics in the landscape. The results of the model described in this work might be beneficial for a wide range of wildlife management activities, such as corridor management, smart patrols, and so on. A cost surface over any focal landscape may serve as a basis for policy and purpose design based on current landscape conditions.

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Geospatial modelling of overlapping habitats for identification of tiger corridor networks in the Terai Arc landscape of India

Cited by 3 publications

References 60 publications

Can Bengal Tiger (Panthera tigris tigris) endure the future climate and land use change scenario in the East Himalayan Region? Perspective from a multiple model framework

Can Bengal Tiger (Panthera tigris tigris) endure the future climate and land use change scenario in the East Himalayan Region? Perspective from a multiple model framework

A Computational Model for Determining Tiger Dispersal and Related Patterns in a Landscape Complex

A Computational Model for Determining Tiger Dispersal and Related Patterns in a Landscape Complex

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