Modelling Habitat Connectivity Using Circuit Theory for Mammal Conservation Corridors
Sunny VermaSchool of Engineering & Computing, Dev Bhoomi Uttarakhand University, Uttarakhand, India ehradunexam.sunny@dbuu.ac.inhttps://orcid.org/0009-0003-9815-4971
Sahil Khurana Centre of Research Impact and Outcome, Chitkara University, Rajpura, Punjab, India sahil.khurana.orp@chitkara.edu.inhttps://orcid.org/0009-0002-5347-1810
Debanjan GhoshAssistant Professor, Department of Computer Science & IT, ARKA JAIN University, Jamshedpur, Jharkhand, India debanjan.g@arkajainuniversity.ac.inhttps://orcid.org/0000-0002-3255-6199
Dr.D. Roselin JeniferAssistant Professor, Department of Bio Informatics, Sathyabama Institute of Science and Technology, Chennai, India roselinjenifer.d.bte@sathyabama.ac.inhttps://orcid.org/0000-0002-1792-4184
Dr. Tapas Kumar MohapatraProfessor, Department of Electrical Engineering, Institute of Technical Education and Research, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India tapasmohapatra@soa.ac.inhttps://orcid.org/0000-0002-2058-6315
S. Renuka JyothiAssistant Professor, Department of Biotechnology and Genetics, JAIN (Deemed-to-be University), Bangalore, Karnataka, India j.renuka@jainuniversity.ac.inhttps://orcid.org/0000-0003-3248-337X
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