{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T09:16:12Z","timestamp":1790759772267,"version":"4.1.0"},"reference-count":66,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2022,4,20]],"date-time":"2022-04-20T00:00:00Z","timestamp":1650412800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["conbio.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Conservation Biology"],"published-print":{"date-parts":[[2022,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    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\u2010dominated landscapes need to identify both the locations of corridors and multiple stakeholders for effective oversight. We synthesized five independent studies of tiger (\n                    <jats:italic>Panthera tigris<\/jats:italic>\n                    ) 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\u2019 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: &gt;40% of high average (top 20%) current\u2010flow pixels were also in the top 20% of current\u2010flow 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\u2019 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.\n                  <\/jats:p>","DOI":"10.1111\/cobi.13909","type":"journal-article","created":{"date-parts":[[2022,3,15]],"date-time":"2022-03-15T02:29:56Z","timestamp":1647311396000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["Synthesizing habitat connectivity analyses of a globally important human\u2010dominated tiger\u2010conservation landscape"],"prefix":"10.1111","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9550-9154","authenticated-orcid":false,"given":"Jay M.","family":"Schoen","sequence":"first","affiliation":[{"name":"Department of Ecology Evolution and Environmental Biology Columbia University  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6306-7243","authenticated-orcid":false,"given":"Amrita","family":"Neelakantan","sequence":"additional","affiliation":[{"name":"Network for Conserving Central India  Gurgaon India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Samuel A.","family":"Cushman","sequence":"additional","affiliation":[{"name":"US Forest Service Rocky Mountain Research Station  Flagstaff Arizona USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5236-2658","authenticated-orcid":false,"given":"Trishna","family":"Dutta","sequence":"additional","affiliation":[{"name":"Wildlife Sciences, Faculty of Forest Sciences and Forest Ecology University of Goettingen  G\u00f6ttingen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bilal","family":"Habib","sequence":"additional","affiliation":[{"name":"Wildlife Institute of India  Dehradun India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3276-1384","authenticated-orcid":false,"given":"Yadvendradev V.","family":"Jhala","sequence":"additional","affiliation":[{"name":"Wildlife Institute of India  Dehradun India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4863-7348","authenticated-orcid":false,"given":"Indranil","family":"Mondal","sequence":"additional","affiliation":[{"name":"Wildlife Institute of India  Dehradun India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Uma","family":"Ramakrishnan","sequence":"additional","affiliation":[{"name":"The Biodiversity Collaborative, National Center for Biological Sciences Tata Institute of Fundamental Research  Bangalore India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3808-7223","authenticated-orcid":false,"given":"P. Anuradha","family":"Reddy","sequence":"additional","affiliation":[{"name":"CSIR\u2010Centre for Cellular and Molecular Biology  Hyderabad India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Swati","family":"Saini","sequence":"additional","affiliation":[{"name":"Wildlife Institute of India  Dehradun India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sandeep","family":"Sharma","sequence":"additional","affiliation":[{"name":"German Centre for Integrative Biodiversity Research Halle\u2010Jena\u2010Leipzig  Leipzig Germany"},{"name":"Institute of Biology Martin Luther University Halle\u2010Wittenberg  Halle Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Prachi","family":"Thatte","sequence":"additional","affiliation":[{"name":"World Wide Fund for Nature \u2013 India  New Delhi India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bibek","family":"Yumnam","sequence":"additional","affiliation":[{"name":"Wildlife Institute of India  Dehradun India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruth","family":"DeFries","sequence":"additional","affiliation":[{"name":"Department of Ecology Evolution and Environmental Biology Columbia University  New York New York USA"},{"name":"Network for Conserving Central India  Gurgaon India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2022,4,20]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10531-017-1344-6"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.biocon.2019.108349"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.3390\/su12124902"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1523-1739.2011.01753.x"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.envsci.2014.08.009"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1523-1739.2007.00674.x"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.3390\/d6040844"},{"key":"e_1_2_7_9_1","doi-asserted-by":"publisher","DOI":"10.1002\/9781118520178.ch21"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10113-016-1014-3"},{"key":"e_1_2_7_11_1","volume-title":"Setting priorities for the conservation and recovery of wild tigers: 2005\u20132015. 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