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Synthesizing habitat connectivity analyses of a globally important human-dominated tiger-conservation landscape
Authors:Jay M Schoen  Amrita Neelakantan  Samuel A Cushman  Trishna Dutta  Bilal Habib  Yadvendradev V Jhala  Indranil Mondal  Uma Ramakrishnan  P Anuradha Reddy  Swati Saini  Sandeep Sharma  Prachi Thatte  Bibek Yumnam  Ruth DeFries
Institution:1. Department of Ecology, Evolution and Environmental Biology, Columbia University, New York, New York, USA;2. Network for Conserving Central India, Gurgaon, India;3. US Forest Service, Rocky Mountain Research Station, Flagstaff, Arizona, USA;4. Wildlife Sciences, Faculty of Forest Sciences and Forest Ecology, University of Goettingen, Göttingen, Germany;5. Wildlife Institute of India, Dehradun, India;6. The Biodiversity Collaborative, National Center for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, India;7. CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India;8. German Centre for Integrative Biodiversity Research, Halle-Jena-Leipzig, Leipzig, Germany

Institute of Biology, Martin Luther University Halle-Wittenberg, Halle, Germany;9. World Wide Fund for Nature – India, New Delhi, India;10. Department of Ecology, Evolution and Environmental Biology, Columbia University, New York, New York, USA

Network for Conserving Central India, Gurgaon, India

Abstract:As ecological data and associated analyses become more widely available, synthesizing results for effective communication with stakeholders is essential. In the case of wildlife corridors, managers in human-dominated landscapes need to identify both the locations of corridors and multiple stakeholders for effective oversight. We synthesized five independent studies of tiger (Panthera tigris) connectivity in central India, a global priority landscape for tiger conservation, to quantify agreement on landscape permeability for tiger movement and potential movement pathways. We used the latter analysis to identify connectivity areas on which studies agreed and stakeholders associated with these areas to determine relevant participants in corridor management. Three or more of the five studies’ resistance layers agreed in 63% of the study area. Areas in which all studies agree on resistance were of primarily low (66%, e.g., forest) and high (24%, e.g., urban) resistance. Agreement was lower in intermediate resistance areas (e.g., agriculture). Despite these differences, the studies largely agreed on areas with high levels of potential movement: >40% of high average (top 20%) current-flow pixels were also in the top 20% of current-flow agreement pixels (measured by low variation), indicating consensus connectivity areas (CCAs) as conservation priorities. Roughly 70% of the CCAs fell within village administrative boundaries, and 100% overlapped forest department management boundaries, suggesting that people live and use forests within these priority areas. Over 16% of total CCAs’ area was within 1 km of linear infrastructure (437 road, 170 railway, 179 transmission line, and 339 canal crossings; 105 mines within 1 km of CCAs). In 2019, 78% of forest land diversions for infrastructure and mining in Madhya Pradesh (which comprises most of the study region) took place in districts with CCAs. Acute competition for land in this landscape with globally important wildlife corridors calls for an effective comanagement strategy involving local communities, forest departments, and infrastructure planners.
Keywords:central India  circuit theory  coexistence  corridors  human wildlife  infrastructure  land use  movement  coexistencia  corredores  humano-fauna  India central  infraestructura  movimiento  teoría de circuitos  uso de suelo  廊道  印度中部  运动  电路理论  共存  人类与野生动物  土地利用  基础设施
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