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A Computational Approach for Designing Tiger Corridors in India

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Smart and Innovative Trends in Next Generation Computing Technologies (NGCT 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 827))

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Abstract

Wildlife corridors are components of landscapes, which facilitate the movement of organisms and processes between intact habitat areas, and thus provide connectivity between the habitats within the landscapes. Corridors are thus regions within a given landscape that connect fragmented habitat patches within the landscape. The major concern of designing corridors as a conservation strategy is primarily to counter, and to the extent possible, mitigate the effects of habitat fragmentation and loss on the biodiversity of the landscape, as well as support continuance of land use for essential local and global economic activities in the region of reference.

In this paper, we use game theory, graph theory, membership functions and chain code algorithm to model and design a set of wildlife corridors with tiger (Panthera tigris tigris) as the focal species. We identify the parameters which would affect the tiger population in a landscape complex and using the presence of these identified parameters construct a graph using the habitat patches supporting tiger presence in the landscape complex as vertices and the possible paths between them as edges. The passage of tigers through the possible paths has been designed using an Assurance game, with tigers as an individual player. The game is recursively played as the tiger passes through each grid considered for the model. The iteration causes the tiger to choose the most suitable path signifying the emergence of adaptability.

As a nominal explanation of the game, we design this model through the interaction of tiger with the parameters as deterministic finite automata, for which the transition function is obtained by the game payoff.

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Authors and Affiliations

  1. Department of Virtualization, School of Computer Science and Engineering, University of Petroleum and Energy Studies, Dehradun, 248007, Uttarakhand, India

    Saurabh Shanu

  2. Department of Mathematics, School of Natural Sciences, Shiv Nadar University, P.O. Shiv Nadar University, Greater Noida, Gautam Buddha Nagar, 201 314, Uttar Pradesh, India

    Sudeepto Bhattacharya

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  1. Saurabh Shanu
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  2. Sudeepto Bhattacharya
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Correspondence to Saurabh Shanu .

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Editors and Affiliations

  1. Indian Institute of Technology Patna, Patna, Bihar, India

    Pushpak Bhattacharyya

  2. University of Petroleum and Energy Studies, Dehradun, India

    Hanumat G. Sastry

  3. University of Petroleum and Energy Studies, Dehradun, India

    Venkatadri Marriboyina

  4. University of Petroleum and Energy Studies, Dehradun, India

    Rashmi Sharma

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Shanu, S., Bhattacharya, S. (2018). A Computational Approach for Designing Tiger Corridors in India. In: Bhattacharyya, P., Sastry, H., Marriboyina, V., Sharma, R. (eds) Smart and Innovative Trends in Next Generation Computing Technologies. NGCT 2017. Communications in Computer and Information Science, vol 827. Springer, Singapore. https://doi.org/10.1007/978-981-10-8657-1_8

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  • DOI: https://doi.org/10.1007/978-981-10-8657-1_8

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