Shanu, S.; Agarwal, A. A Computational Model for Determining Tiger Dispersal and Related Patterns in a Landscape Complex. Sustainability2023, 15, 8539.
Shanu, S.; Agarwal, A. A Computational Model for Determining Tiger Dispersal and Related Patterns in a Landscape Complex. Sustainability 2023, 15, 8539.
Shanu, S.; Agarwal, A. A Computational Model for Determining Tiger Dispersal and Related Patterns in a Landscape Complex. Sustainability2023, 15, 8539.
Shanu, S.; Agarwal, A. A Computational Model for Determining Tiger Dispersal and Related Patterns in a Landscape Complex. Sustainability 2023, 15, 8539.
Abstract
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.
Keywords
Computation; Cost Allocation; Dispersal; Game Theory; Landscape
Subject
Biology and Life Sciences, Animal Science, Veterinary Science and Zoology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
