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Volume 10 - No: 2

Modelling Habitat Connectivity Using Circuit Theory for Mammal Conservation Corridors

  • Sunny Verma School of Engineering & Computing, Dev Bhoomi Uttarakhand University, Uttarakhand, India
    ehradunexam.sunny@dbuu.ac.in
    https://orcid.org/0009-0003-9815-4971
  • Sahil Khurana Centre of Research Impact and Outcome, Chitkara University, Rajpura, Punjab, India
    sahil.khurana.orp@chitkara.edu.in
    https://orcid.org/0009-0002-5347-1810
  • Debanjan Ghosh Assistant Professor, Department of Computer Science & IT, ARKA JAIN University, Jamshedpur, Jharkhand, India
    debanjan.g@arkajainuniversity.ac.in
    https://orcid.org/0000-0002-3255-6199
  • Dr.D. Roselin Jenifer Assistant Professor, Department of Bio Informatics, Sathyabama Institute of Science and Technology, Chennai, India
    roselinjenifer.d.bte@sathyabama.ac.in
    https://orcid.org/0000-0002-1792-4184
  • Dr. Tapas Kumar Mohapatra Professor, Department of Electrical Engineering, Institute of Technical Education and Research, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India
    tapasmohapatra@soa.ac.in
    https://orcid.org/0000-0002-2058-6315
  • S. Renuka Jyothi Assistant Professor, Department of Biotechnology and Genetics, JAIN (Deemed-to-be University), Bangalore, Karnataka, India
    j.renuka@jainuniversity.ac.in
    https://orcid.org/0000-0003-3248-337X
DOI: 10.28978/nesciences.1763898
Keywords: Habitat connectivity, circuit theory, modelling, mammals, conservation corridors, fragmented landscapes, landscape ecology

Abstract

Habitat fragmentation is a significant barrier to the ability of terrestrial mammals to move freely across landscapes and also disrupts the genetic flow among populations. In this study, we employed circuit theory to investigate habitat connectivity and identify conservation corridors for mammals in fragmented landscapes. Circuit theory utilizes the fundamentals of electrical resistance theory to establish connections among landscapes as a conductive surface, representing landscape heterogeneity by assigning resistance values based on land cover, topography, and anthropogenic features. We developed resistance surfaces using ecological and movement data for species of interest to derive many possible dispersal pathways for mammals. Throughout the study area, we utilized Circuits cape to illustrate connectivity, which helped identify key corridors that maximize movement between core habitat patches or areas of high current density, where movement is most likely to occur. Results show that classic corridor models generally ignore alternative, but ecologically relevant routes that can be captured with a circuit-based approach. Overall, our results suggest that integrating circuit theory into conservation planning is a sound mechanism for identifying multifunctional corridors that enhance landscape permeability and resilience. This method helps prioritize areas to conserve, restore, and use sustainably, thereby maximizing the probability of persistence of mammal populations in an increasingly fragmented landscape

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Date

August 2025

Page Number

93-107