{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T19:42:58Z","timestamp":1778874178370,"version":"3.51.4"},"reference-count":127,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2023,9,21]],"date-time":"2023-09-21T00:00:00Z","timestamp":1695254400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>Conservation management heavily relies on accurate species distribution data. However, distributional information for most species is limited to distributional range maps, which could not have enough resolution to take conservation action and know current distribution status. In many cases, distribution maps are difficult to access in proper data formats for analysis and conservation planning of species. In this study, we addressed this issue by developing Species Distribution Models (SDMs) that integrate species presence data from various citizen science initiatives. This allowed us to systematically construct current distribution maps for 1091 bird species across India. To create these SDMs, we used MaxEnt 3.4.4 (Maximum Entropy) as the base for species distribution modelling and combined it with multiple citizen science datasets containing information on species occurrence and 29 environmental variables. Using this method, we were able to estimate species distribution maps at both a national scale and a high spatial resolution of 1 km2. Thus, the results of our study provide species current species distribution maps for 968 bird species found in India. These maps significantly improve our knowledge of the geographic distribution of about 75% of India\u2019s bird species and are essential for addressing spatial knowledge gaps for conservation issues. Additionally, by superimposing the distribution maps of different species, we can locate hotspots for bird diversity and align conservation action.<\/jats:p>","DOI":"10.3390\/data8090144","type":"journal-article","created":{"date-parts":[[2023,9,21]],"date-time":"2023-09-21T04:53:05Z","timestamp":1695271985000},"page":"144","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Potential Range Map Dataset of Indian Birds"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5267-9789","authenticated-orcid":false,"given":"Arpit","family":"Deomurari","sequence":"first","affiliation":[{"name":"Amity Institute of Forestry and Wildlife, Amity University, Noida 201313, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9159-5534","authenticated-orcid":false,"given":"Ajay","family":"Sharma","sequence":"additional","affiliation":[{"name":"College of Forestry, Wildlife and Environment, Auburn University, Auburn, AL 36849, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dipankar","family":"Ghose","sequence":"additional","affiliation":[{"name":"World Wide Fund for Nature-India (WWF-India), New Delhi 110003, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8461-2327","authenticated-orcid":false,"given":"Randeep","family":"Singh","sequence":"additional","affiliation":[{"name":"Amity Institute of Forestry and Wildlife, Amity University, Noida 201313, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,9,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"640","DOI":"10.1111\/ecog.05119","article-title":"Continental-Scale 1 Km Hummingbird Diversity Derived from Fusing Point Records with Lateral and Elevational Expert Information","volume":"44","author":"Merow","year":"2021","journal-title":"Ecography"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"13384","DOI":"10.1073\/pnas.0704469104","article-title":"Species Richness, Hotspots, and the Scale Dependence of Range Maps in Ecology and Conservation","volume":"104","author":"Hurlbert","year":"2007","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1111\/j.1461-0248.2005.00726.x","article-title":"Disparity between Range Map- and Survey-Based Analyses of Species Richness: Patterns, Processes and Implications","volume":"8","author":"Hurlbert","year":"2005","journal-title":"Ecol. Lett."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/j.biocon.2017.03.019","article-title":"Citizen Science Driven Species Distribution Models Estimate Drastically Smaller Range Sizes and Higher Threat Levels for Western Ghats Endemic Birds","volume":"210","author":"Ramesh","year":"2017","journal-title":"Biol. Conserv."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"e02236","DOI":"10.1016\/j.gecco.2022.e02236","article-title":"Comparison of IUCN and Species Distribution Modeling-Estimated Ranges of Shorebirds in Coastal Mainland China","volume":"38","author":"Duan","year":"2022","journal-title":"Glob. Ecol. Conserv."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"e14620","DOI":"10.7717\/peerj.14620","article-title":"Mismatch between IUCN Range Maps and Species Interactions Data Illustrated Using the Serengeti Food Web","volume":"11","author":"Higino","year":"2023","journal-title":"PeerJ"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1093\/biosci\/biw022","article-title":"Spatial Gaps in Global Biodiversity Information and the Role of Citizen Science","volume":"66","author":"Amano","year":"2016","journal-title":"BioScience"},{"key":"ref_8","unstructured":"eBird (2021, December 25). eBird: An Online Database of Bird Distribution and Abundance [Web Application]. Available online: http:\/\/www.ebird.org."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1111\/j.2006.0906-7590.04596.x","article-title":"Novel Methods Improve Prediction of Species\u2019 Distributions from Occurrence Data","volume":"29","author":"Elith","year":"2006","journal-title":"Ecography"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"677","DOI":"10.1146\/annurev.ecolsys.110308.120159","article-title":"Species Distribution Models: Ecological Explanation and Prediction across Space and Time","volume":"40","author":"Elith","year":"2009","journal-title":"Annu. Rev. Ecol. Evol. Syst."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"993","DOI":"10.1111\/j.1461-0248.2005.00792.x","article-title":"Predicting Species Distribution: Offering More than Simple Habitat Models","volume":"8","author":"Guisan","year":"2005","journal-title":"Ecol. Lett."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Phillips, S.J., Dud\u00edk, M., and Schapire, R.E. (2004, January 4\u20138). A Maximum Entropy Approach to Species Distribution Modeling. Proceedings of the Twenty-First International Conference on Machine Learning\u2014ICML \u201904, Banff, AB, Canada.","DOI":"10.1145\/1015330.1015412"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/j.ecolind.2018.07.046","article-title":"Plant Invasion Risk: A Quest for Invasive Species Distribution Modelling in Managing Protected Areas","volume":"95","author":"Bazzichetto","year":"2018","journal-title":"Ecol. Indic."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1","DOI":"10.21425\/F5FBG54662","article-title":"Species Distribution Modeling to Inform Transboundary Species Conservation and Management under Climate Change: Promise and Pitfalls","volume":"14","author":"Blair","year":"2022","journal-title":"Front. Biogeogr."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1080\/23766808.2021.1957652","article-title":"Distribution Shifts in Habitat Suitability and Hotspot Refugia of Andean Tree Species from the Last Glacial Maximum to the Anthropocene","volume":"7","author":"Domic","year":"2021","journal-title":"Neotrop. Biodivers."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1111\/ecog.04886","article-title":"Biotic Predictors with Phenological Information Improve Range Estimates for Migrating Monarch Butterflies in Mexico","volume":"43","author":"Kass","year":"2020","journal-title":"Ecography"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1016\/j.biocon.2014.06.012","article-title":"Using Species Distribution Models to Inform IUCN Red List Assessments","volume":"177","author":"Syfert","year":"2014","journal-title":"Biol. Conserv."},{"key":"ref_18","first-page":"59","article-title":"Assessment of User Needs of Primary Biodiversity Data: Analysis, Concerns, and Challenges","volume":"8","author":"Chavan","year":"2015","journal-title":"Biodivers. Inform."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1111\/j.1365-2664.2006.01136.x","article-title":"Error and Uncertainty in Habitat Models","volume":"43","author":"Barry","year":"2006","journal-title":"J. Appl. Ecol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.ecoinf.2013.11.002","article-title":"Spatial Bias in the GBIF Database and Its Effect on Modeling Species\u2019 Geographic Distributions","volume":"19","author":"Beck","year":"2014","journal-title":"Ecol. Inform."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"992","DOI":"10.1111\/ele.12624","article-title":"Multidimensional Biases, Gaps and Uncertainties in Global Plant Occurrence Information","volume":"19","author":"Meyer","year":"2016","journal-title":"Ecol. Lett."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1111\/ddi.13442","article-title":"Target-Group Backgrounds Prove Effective at Correcting Sampling Bias in Maxent Models","volume":"28","author":"Barber","year":"2022","journal-title":"Divers. Distrib."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Boakes, E.H., McGowan, P.J.K., Fuller, R.A., Chang-Qing, D., Clark, N.E., O\u2019Connor, K., and Mace, G.M. (2010). Distorted Views of Biodiversity: Spatial and Temporal Bias in Species Occurrence Data. PLoS Biol., 8.","DOI":"10.1371\/journal.pbio.1000385"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Botella, C., Joly, A., Monestiez, P., Bonnet, P., and Munoz, F. (2020). Bias in Presence-Only Niche Models Related to Sampling Effort and Species Niches: Lessons for Background Point Selection. PLoS ONE, 15.","DOI":"10.1371\/journal.pone.0232078"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"883","DOI":"10.1007\/s10531-009-9746-8","article-title":"Sampling Bias and the Use of Ecological Niche Modeling in Conservation Planning: A Field Evaluation in a Biodiversity Hotspot","volume":"19","author":"Costa","year":"2010","journal-title":"Biodivers. Conserv."},{"key":"ref_26","first-page":"1049","article-title":"Improved Species-Occurrence Predictions in Data-Poor Regions: Using Large-Scale Data and Bias Correction with down-Weighted Poisson Regression and Maxent","volume":"41","author":"Dormann","year":"2018","journal-title":"Ecography"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"484","DOI":"10.1111\/ddi.12545","article-title":"Including Environmental Niche Information to Improve IUCN Red List Assessments","volume":"23","author":"Breiner","year":"2017","journal-title":"Divers. Distrib."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"McClure, C.J.W., Dunn, L., Buechley, E.R., Juergens, P., Oleyar, D., Goodrich, L.J., and Therrien, J.-F. (2022). Conservation Assessment of Raptors within the USA and Canada. Biol. Conserv., 272.","DOI":"10.1016\/j.biocon.2022.109633"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"612194","DOI":"10.1155\/2015\/612194","article-title":"Combining Niche Modelling, Land-Use Change, and Genetic Information to Assess the Conservation Status of Pouteria Splendens Populations in Central Chile","volume":"2015","author":"Morales","year":"2015","journal-title":"Int. J. Ecol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"890","DOI":"10.1111\/j.1472-4642.2007.00392.x","article-title":"Modelling Ecological Niches from Low Numbers of Occurrences: Assessment of the Conservation Status of Poorly Known Viverrids (Mammalia, Carnivora) across Two Continents","volume":"13","author":"Gaubert","year":"2007","journal-title":"Divers. Distrib."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1016\/j.biocon.2013.12.015","article-title":"Assessing the Conservation Status of Species with Limited Available Data and Disjunct Distribution","volume":"170","author":"Pena","year":"2014","journal-title":"Biol. Conserv."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1712","DOI":"10.1111\/j.1365-2699.2006.01482.x","article-title":"Climate Warming and the Decline of Amphibians and Reptiles in Europe","volume":"33","author":"Thuiller","year":"2006","journal-title":"J. Biogeogr."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1111\/j.1469-1795.2010.00398.x","article-title":"Poor Overlap between the Distribution of Protected Areas and Globally Threatened Birds in Africa","volume":"14","author":"Beresford","year":"2011","journal-title":"Anim. Conserv."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"701","DOI":"10.1111\/j.1466-8238.2009.00485.x","article-title":"Ensemble Models Predict Important Bird Areas in Southern Africa Will Become Less Effective for Conserving Endemic Birds under Climate Change","volume":"18","author":"Coetzee","year":"2009","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"20180047","DOI":"10.1098\/rstb.2018.0047","article-title":"Mechanisms Driving Phenological and Range Change in Migratory Species","volume":"374","author":"Gill","year":"2019","journal-title":"Philos. Trans. R. Soc. B"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Huntley, B., Collingham, Y.C., Willis, S.G., and Green, R.E. (2008). Potential Impacts of Climatic Change on European Breeding Birds. PLoS ONE, 3.","DOI":"10.1371\/journal.pone.0001439"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"696","DOI":"10.5558\/tfc81696-5","article-title":"Climate Change and Protected Area Policy and Planning in Canada","volume":"81","author":"Scott","year":"2005","journal-title":"For. Chron."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1080\/20964129.2018.1530054","article-title":"Impact of Climate Change on Biodiversity and Associated Key Ecosystem Services in Africa: A Systematic Review","volume":"4","author":"Sintayehu","year":"2018","journal-title":"Ecosyst. Health Sustain."},{"key":"ref_39","unstructured":"Keller, V., Herrando, S., Vo\u0159\u00ed\u0161ek, P., Franch, M., Kipson, M., Milanesi, P., Mart\u00ed, D., Anton, M., Klva\u0148ov\u00e1, A., Kalyakin, M.V., Bauer, H.-G., and Foppen, R.P.B. (2020). European Breeding Bird Atlas 2: Distribution, Abundance and Change, European Bird Census Council & Lynx Edicions."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"221","DOI":"10.3184\/175815618X15316676114070","article-title":"Predicting Climate-Driven Habitat Shifting of the near Threatened Satyr Tragopan (Tragopan Satyra; Galliformes) in the Himalayas","volume":"11","author":"Chhetri","year":"2018","journal-title":"Avian Biol. Res."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"107368","DOI":"10.1016\/j.ecolind.2021.107368","article-title":"Modelling Climate Change Impacts on Distribution of Himalayan Pheasants","volume":"123","author":"Chhetri","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_42","first-page":"30","article-title":"Study of Vulture Habitat Suitability and Impact of Climate Change in Central India Using MaxEnt","volume":"12","author":"Jha","year":"2021","journal-title":"J. Resour. Ecol."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"105930","DOI":"10.1016\/j.ecolind.2019.105930","article-title":"The Expanding Distribution of the Indian Peafowl (Pavo Cristatus) as an Indicator of Changing Climate in Kerala, Southern India: A Modelling Study Using MaxEnt","volume":"110","author":"Jose","year":"2020","journal-title":"Ecol. Indic."},{"key":"ref_44","first-page":"569","article-title":"Projected Climate Change Effects on Nuthatch Distribution","volume":"57","author":"Menon","year":"2009","journal-title":"Raffles Bull. Zool."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"100241","DOI":"10.1016\/j.crm.2020.100241","article-title":"Modelling Habitat Suitability of Western Tragopan (Tragopan Melanocephalus) a Range-Restricted Vulnerable Bird Species of the Himalayan Region, in Response to Climate Change","volume":"29","author":"Singh","year":"2020","journal-title":"Clim. Risk Manag."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1335","DOI":"10.18520\/cs\/v121\/i10\/1335-1342","article-title":"Impact of Climate Change on Two High-Altitude Restricted and Endemic Flycatchers of The Western Ghats, India","volume":"121","author":"Sreekumar","year":"2021","journal-title":"Curr. Sci."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"101702","DOI":"10.1016\/j.ecoinf.2022.101702","article-title":"A MaxEnt Modelling Approach to Understand the Climate Change Effects on the Distributional Range of White-Bellied Sholakili Sholicola Albiventris (Blanford, 1868) in the Western Ghats, India","volume":"70","author":"Sreekumar","year":"2022","journal-title":"Ecol. Inform."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3356\/0892-1016-54.1.1","article-title":"Climatic Constraints on Laggar Falcon (Falco Jugger) Distribution Predicts Multidirectional Range Movements under Future Climate Change Scenarios","volume":"54","author":"Sutton","year":"2020","journal-title":"J. Raptor Res."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1017\/S0959270916000381","article-title":"Habitat Suitability and Impacts of Climate Change on the Distribution of Wintering Population of Asian Houbara Bustard Chlamydotis Macqueenii in Iran","volume":"27","author":"Yousefi","year":"2017","journal-title":"Bird Conserv. Int."},{"key":"ref_50","first-page":"146","article-title":"Potential Geographic Distribution of the Bugun Liocichla Liocichla Bugunorum, a Poorly-Known Species from North-Eastern India","volume":"2","author":"Peterson","year":"2006","journal-title":"Indian Birds"},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Kaul, R., Kalsi, R.S., Singh, R., Basnet, H., and Awan, M.N. (2022). Cheer Pheasant (Catreus Wallichii) and the Conservation Paradox: Importance of Unprotected Areas. Diversity, 14.","DOI":"10.3390\/d14100785"},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Singh, P., Saran, S., and Kocaman, S. (2021). Role of Maximum Entropy and Citizen Science to Study Habitat Suitability of Jacobin Cuckoo in Different Climate Change Scenarios. ISPRS Int. J. Geo-Inf., 10.","DOI":"10.3390\/ijgi10070463"},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Chitale, V.S., Behera, M.D., and Roy, P.S. (2014). Future of Endemic Flora of Biodiversity Hotspots in India. PLoS ONE, 9.","DOI":"10.1371\/journal.pone.0115264"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"100124","DOI":"10.1016\/j.tfp.2021.100124","article-title":"Assessing Potential Habitat Distribution Range of the Endangered Tree Species Pterocarpus Marsupium Roxb. Under the Climate Change Scenario in India","volume":"6","author":"Ghosh","year":"2021","journal-title":"Trees For. People"},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Hebbar, K.B., Abhin, P.S., Sanjo Jose, V., Neethu, P., Santhosh, A., Shil, S., and Prasad, P.V.V. (2022). Predicting the Potential Suitable Climate for Coconut (Cocos nucifera L.) Cultivation in India under Climate Change Scenarios Using the MaxEnt Model. Plants, 11.","DOI":"10.3390\/plants11060731"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"584","DOI":"10.1007\/s42965-022-00237-x","article-title":"Identifying the Potential Global Distribution and Conservation Areas for Terminalia Chebula, an Important Medicinal Tree Species under Changing Climate Scenario","volume":"63","author":"Kailash","year":"2022","journal-title":"Trop. Ecol."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1827","DOI":"10.1007\/s40995-017-0354-2","article-title":"Assessment of Climate Change Impacts and Its Implications on Medicinal Plants-Based Traditional Healthcare System in Central Himalaya, India","volume":"42","author":"Maikhuri","year":"2018","journal-title":"Iran. J. Sci. Technol. Trans. Sci."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1007\/s40808-016-0163-1","article-title":"Modelling the Impacts of Future Climate Change on Plant Communities in the Himalaya: A Case Study from Eastern Himalaya, India","volume":"2","author":"Manish","year":"2016","journal-title":"Model. Earth Syst. Environ."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.ecoleng.2016.01.006","article-title":"Modeling Impacts of Future Climate on the Distribution of Myristicaceae Species in the Western Ghats, India","volume":"89","author":"Priti","year":"2016","journal-title":"Ecol. Eng."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1186\/s13717-023-00423-2","article-title":"Ecological Niche Modelling of a Critically Endangered Species Commiphora Wightii (Arn.) Bhandari Using Bioclimatic and Non-Bioclimatic Variables","volume":"12","author":"Mathur","year":"2023","journal-title":"Ecol. Process."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"1917","DOI":"10.1007\/s10531-006-9110-1","article-title":"Mapping the Geographic Distribution of Aglaia Bourdillonii Gamble (Meliaceae), an Endemic and Threatened Plant, Using Ecological Niche Modeling","volume":"16","author":"Amarnath","year":"2007","journal-title":"Biodivers. Conserv."},{"key":"ref_62","first-page":"200","article-title":"Diversity and Distribution of Rhododendrons in Arunachal Himalaya, India","volume":"3","author":"Paul","year":"2010","journal-title":"J. Am. Rhododendr. Soc."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.gecco.2017.04.003","article-title":"Modelling the Potential Distribution of Betula Utilis in the Himalaya","volume":"11","author":"Bobrowski","year":"2017","journal-title":"Glob. Ecol. Conserv."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1007\/s12524-019-01089-0","article-title":"Prediction Mapping Through Maxent Modeling Paves the Way for the Conservation of Rhododendron Arboreum in Uttarakhand Himalayas","volume":"48","author":"Bhandari","year":"2020","journal-title":"J. Indian Soc. Remote Sens."},{"key":"ref_65","first-page":"289","article-title":"Climate Change Alarms the Survival of Near Threatened Species Malayan Giant Squirrel (Ratufa Bicolor Sparrman, 1778) in India","volume":"45","author":"Chatterjee","year":"2020","journal-title":"JMAM"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"822","DOI":"10.1111\/ddi.12898","article-title":"Predicting Range Shifts of Asian Elephants under Global Change","volume":"25","author":"Kanagaraj","year":"2019","journal-title":"Divers. Distrib."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"1511","DOI":"10.1038\/s41598-020-58111-6","article-title":"Projected Distribution and Climate Refugia of Endangered Kashmir Musk Deer Moschus Cupreus in Greater Himalaya, South Asia","volume":"10","author":"Singh","year":"2020","journal-title":"Sci. Rep."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1644\/10-MAMM-A-155.1","article-title":"Predicted Distributions and Ecological Niches of 8 Civet and Mongoose Species in Southeast Asia","volume":"92","author":"Jennings","year":"2011","journal-title":"J. Mammal."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"29","DOI":"10.3354\/esr00185","article-title":"Mapping Potential Distribution of Slender Loris Subspecies in Peninsular India","volume":"7","author":"Kumara","year":"2009","journal-title":"Endanger. Species Res."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.1472-4642.2008.00535.x","article-title":"Ecological Niche Modelling as a Technique for Assessing Threats and Setting Conservation Priorities for Asian Slow Lorises (Primates: Nycticebus)","volume":"15","author":"Thorn","year":"2009","journal-title":"Divers. Distrib."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1007\/s10661-021-08950-1","article-title":"Predicting the Current and Future Potential Spatial Distribution of Endangered Rucervus Eldii Eldii (Sangai) Using MaxEnt Model","volume":"193","author":"Anand","year":"2021","journal-title":"Environ. Monit. Assess."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"e01080","DOI":"10.1016\/j.gecco.2020.e01080","article-title":"Expanding Niche and Degrading Forests: Key to the Successful Global Invasion of Lantana Camara (Sensu Lato)","volume":"23","author":"Mungi","year":"2020","journal-title":"Glob. Ecol. Conserv."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1016\/j.chnaes.2022.08.004","article-title":"MaxEnt-Based Prediction of the Potential Invasion of Lantana Camara L. under Climate Change Scenarios in Arunachal Pradesh, India","volume":"43","author":"Bushi","year":"2023","journal-title":"Acta Ecol. Sin."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1002\/ps.7199","article-title":"Predicting the Invasion Risk of Rugose Spiraling Whitefly, Aleurodicus Rugioperculatus, in India Based on CMIP6 Projections by MaxEnt","volume":"79","author":"Maruthadurai","year":"2023","journal-title":"Pest Manag. Sci."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"636","DOI":"10.18520\/cs\/v116\/i4\/636-642","article-title":"Predicting the Invasion Potential of Indigenous Restricted Mango Fruit Borer, Citripestis Eutraphera (Lepidoptera: Pyralidae) in India Based on MaxEnt Modelling","volume":"116","author":"Choudhary","year":"2019","journal-title":"Curr. Sci."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.compag.2014.02.007","article-title":"Using District-Level Occurrences in MaxEnt for Predicting the Invasion Potential of an Exotic Insect Pest in India","volume":"103","author":"Kumar","year":"2014","journal-title":"Comput. Electron. Agric."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.ecoinf.2014.04.002","article-title":"Modeling Potential Invasion Range of Alien Invasive Species, Hyptis Suaveolens (L.) Poit. in India: Comparison of MaxEnt and GARP","volume":"22","author":"Padalia","year":"2014","journal-title":"Ecol. Inform."},{"key":"ref_78","doi-asserted-by":"crossref","unstructured":"Deomurari, A., Sharma, A., Ghose, D., and Singh, R. (2023). Projected Shifts in Bird Distribution in India under Climate Change. Diversity, 15.","DOI":"10.3390\/d15030404"},{"key":"ref_79","unstructured":"(2021, September 25). GBIF Occurrence Download. Available online: http:\/\/www.gbif.org\/."},{"key":"ref_80","first-page":"113","article-title":"A Checklist of the Birds of India","volume":"11","author":"Jayadevan","year":"2016","journal-title":"Indian BIRDS"},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"2282","DOI":"10.1016\/j.biocon.2009.05.006","article-title":"eBird: A Citizen-Based Bird Observation Network in the Biological Sciences","volume":"142","author":"Sullivan","year":"2009","journal-title":"Biol. Conserv."},{"key":"ref_82","unstructured":"(2021, December 25). BirdLife International and Handbook of the Birds of the World Bird Species Distribution Maps of the World. Available online: http:\/\/datazone.birdlife.org\/species\/requestdis."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"983371","DOI":"10.3389\/fevo.2023.983371","article-title":"Harnessing iNaturalist to Quantify Hotspots of Urban Biodiversity: The Los Angeles Case Study","volume":"11","author":"Beninde","year":"2023","journal-title":"Front. Ecol. Evol."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1071\/WR20154","article-title":"An Overview of the History, Current Contributions and Future Outlook of iNaturalist in Australia","volume":"48","author":"Mesaglio","year":"2021","journal-title":"Wildl. Res."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"1052","DOI":"10.1111\/2041-210X.12254","article-title":"Statistics for Citizen Science: Extracting Signals of Change from Noisy Ecological Data","volume":"5","author":"Isaac","year":"2014","journal-title":"Methods Ecol. Evol."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"71","DOI":"10.2218\/ijdc.v9i1.302","article-title":"eBird: Curating Citizen Science Data for Use by Diverse Communities","volume":"9","author":"Lagoze","year":"2014","journal-title":"Int. J. Digit. Curation"},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"541","DOI":"10.1111\/ecog.01132","article-title":"spThin: An R Package for Spatial Thinning of Species Occurrence Records for Use in Ecological Niche Models","volume":"38","author":"Boria","year":"2015","journal-title":"Ecography"},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1111\/jbi.12227","article-title":"Making Better Maxent Models of Species Distributions: Complexity, Overfitting and Evaluation","volume":"41","author":"Radosavljevic","year":"2014","journal-title":"J. Biogeogr."},{"key":"ref_89","unstructured":"R Core Team, R. (2022). A Language and Environment for Statistical Computing, R Core Team R."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"109453","DOI":"10.1016\/j.ecolmodel.2021.109453","article-title":"The Impact of Data Quality Filtering of Opportunistic Citizen Science Data on Species Distribution Model Performance","volume":"444","author":"Maes","year":"2021","journal-title":"Ecol. Model."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"763","DOI":"10.1111\/j.1472-4642.2008.00482.x","article-title":"Effects of Sample Size on the Performance of Species Distribution Models","volume":"14","author":"Wisz","year":"2008","journal-title":"Divers. Distrib."},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1177\/194008290900200304","article-title":"Species Distribution Modeling in the Tropics: Problems, Potentialities, and the Role of Biological Data for Effective Species Conservation","volume":"2","author":"Cayuela","year":"2009","journal-title":"Trop. Conserv. Sci."},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"1366","DOI":"10.1111\/ddi.12096","article-title":"The Importance of Correcting for Sampling Bias in MaxEnt Species Distribution Models","volume":"19","author":"Niedballa","year":"2013","journal-title":"Divers. Distrib."},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1177\/0309133311399491","article-title":"Accounting for Uncertainty When Mapping Species Distributions: The Need for Maps of Ignorance","volume":"35","author":"Rocchini","year":"2011","journal-title":"Prog. Phys. Geogr. Earth Environ."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1111\/ecog.05102","article-title":"Sampbias, a Method for Quantifying Geographic Sampling Biases in Species Distribution Data","volume":"44","author":"Zizka","year":"2021","journal-title":"Ecography"},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"1965","DOI":"10.1002\/joc.1276","article-title":"Very High Resolution Interpolated Climate Surfaces for Global Land Areas","volume":"25","author":"Hijmans","year":"2005","journal-title":"Int. J. Climatol."},{"key":"ref_97","unstructured":"Title, P.O., and Bemmels, J.B. (2016). ENVIREM: An Expanded Set of Bioclimatic Variables Improves Ecological Niche Modeling Performance. Prep. Submiss. Methods Ecol. Evol., 1\u201348."},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"965","DOI":"10.1038\/s41558-020-0873-2","article-title":"Climate-Driven Changes in the Composition of New World Plant Communities","volume":"10","author":"Feeley","year":"2020","journal-title":"Nat. Clim. Chang."},{"key":"ref_99","doi-asserted-by":"crossref","unstructured":"Kougioumoutzis, K., Kokkoris, I.P., Panitsa, M., Kallimanis, A., Strid, A., and Dimopoulos, P. (2021). Plant Endemism Centres and Biodiversity Hotspots in Greece. Biology, 10.","DOI":"10.3390\/biology10020072"},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"1267","DOI":"10.1111\/ecog.03947","article-title":"Incorporating Microclimate into Species Distribution Models","volume":"42","author":"Lembrechts","year":"2019","journal-title":"Ecography"},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"108817","DOI":"10.1016\/j.ecolmodel.2019.108817","article-title":"Species Distribution Modelling to Support Forest Management. A Literature Review","volume":"411","author":"Pecchi","year":"2019","journal-title":"Ecol. Model."},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"194008291985405","DOI":"10.1177\/1940082919854058","article-title":"Species Distribution Modeling in Latin America: A 25-Year Retrospective Review","volume":"12","author":"Blair","year":"2019","journal-title":"Trop. Conserv. Sci."},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1111\/j.1472-4642.2010.00725.x","article-title":"A Statistical Explanation of MaxEnt for Ecologists","volume":"17","author":"Elith","year":"2011","journal-title":"Divers. Distrib."},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"10365","DOI":"10.1002\/ece3.5555","article-title":"Collinearity in Ecological Niche Modeling: Confusions and Challenges","volume":"9","author":"Feng","year":"2019","journal-title":"Ecol. Evol."},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"887","DOI":"10.1111\/ecog.03049","article-title":"Opening the Black Box: An Open-Source Release of Maxent","volume":"40","author":"Phillips","year":"2017","journal-title":"Ecography"},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"1810","DOI":"10.1016\/j.ecolmodel.2011.02.011","article-title":"The Crucial Role of the Accessible Area in Ecological Niche Modeling and Species Distribution Modeling","volume":"222","author":"Barve","year":"2011","journal-title":"Ecol. Model."},{"key":"ref_107","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1111\/j.2041-210X.2010.00036.x","article-title":"The Art of Modelling Range-Shifting Species","volume":"1","author":"Elith","year":"2010","journal-title":"Methods Ecol. Evol."},{"key":"ref_108","doi-asserted-by":"crossref","first-page":"1378","DOI":"10.1111\/j.1365-2699.2010.02290.x","article-title":"The Effect of the Extent of the Study Region on GIS Models of Species Geographic Distributions and Estimates of Niche Evolution: Preliminary Tests with Montane Rodents (Genus Nephelomys) in Venezuela","volume":"37","author":"Anderson","year":"2010","journal-title":"J. Biogeogr."},{"key":"ref_109","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1111\/j.2041-210X.2011.00172.x","article-title":"Selecting Pseudo-Absences for Species Distribution Models: How, Where and How Many?","volume":"3","author":"Jiguet","year":"2012","journal-title":"Methods Ecol. Evol."},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"e03422","DOI":"10.1002\/ecs2.3422","article-title":"Comparing Sample Bias Correction Methods for Species Distribution Modeling Using Virtual Species","volume":"12","author":"Inman","year":"2021","journal-title":"Ecosphere"},{"key":"ref_111","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1890\/07-2153.1","article-title":"Sample Selection Bias and Presence-Only Distribution Models: Implications for Background and Pseudo-Absence Data","volume":"19","author":"Phillips","year":"2009","journal-title":"Ecol. Appl."},{"key":"ref_112","doi-asserted-by":"crossref","first-page":"1602","DOI":"10.1111\/2041-210X.13628","article-title":"ENMeval 2.0: Redesigned for Customizable and Reproducible Modeling of Species\u2019 Niches and Distributions","volume":"12","author":"Kass","year":"2021","journal-title":"Methods Ecol. Evol."},{"key":"ref_113","doi-asserted-by":"crossref","first-page":"1198","DOI":"10.1111\/2041-210X.12261","article-title":"ENMeval: An R Package for Conducting Spatially Independent Evaluations and Estimating Optimal Model Complexity for Maxent Ecological Niche Models","volume":"5","author":"Muscarella","year":"2014","journal-title":"Methods Ecol. Evol."},{"key":"ref_114","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1111\/j.0906-7590.2005.03957.x","article-title":"Selecting Thresholds of Occurrence in the Prediction of Species Distributions","volume":"28","author":"Liu","year":"2005","journal-title":"Ecography"},{"key":"ref_115","doi-asserted-by":"crossref","first-page":"778","DOI":"10.1111\/jbi.12058","article-title":"Selecting Thresholds for the Prediction of Species Occurrence with Presence-Only Data","volume":"40","author":"Liu","year":"2013","journal-title":"J. Biogeogr."},{"key":"ref_116","doi-asserted-by":"crossref","unstructured":"Anderson, R.P., Mart\u00ednez-Meyer, E., Nakamura, M., Ara\u00fajo, M.B., Peterson, A.T., Sober\u00f3n, J., and Pearson, R.G. (2011). Ecological Niches and Geographic Distributions (MPB-49), Princeton University Press.","DOI":"10.1515\/9781400840670"},{"key":"ref_117","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1017\/S0376892997000088","article-title":"A Review of Methods for the Assessment of Prediction Errors in Conservation Presence\/Absence Models","volume":"24","author":"Fielding","year":"1997","journal-title":"Environ. Conserv."},{"key":"ref_118","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1111\/j.1466-8238.2007.00358.x","article-title":"AUC: A Misleading Measure of the Performance of Predictive Distribution Models","volume":"17","author":"Lobo","year":"2008","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_119","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1890\/10-1171.1","article-title":"Ecological Niche Modeling in Maxent: The Importance of Model Complexity and the Performance of Model Selection Criteria","volume":"21","author":"Warren","year":"2011","journal-title":"Ecol. Appl."},{"key":"ref_120","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1111\/j.1365-2699.2006.01594.x","article-title":"Predicting Species Distributions from Small Numbers of Occurrence Records: A Test Case Using Cryptic Geckos in Madagascar","volume":"34","author":"Pearson","year":"2007","journal-title":"J. Biogeogr."},{"key":"ref_121","doi-asserted-by":"crossref","first-page":"e6281","DOI":"10.7717\/peerj.6281","article-title":"Kuenm: An R Package for Detailed Development of Ecological Niche Models Using Maxent","volume":"7","author":"Cobos","year":"2019","journal-title":"PeerJ"},{"key":"ref_122","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1016\/S0304-3800(02)00200-4","article-title":"Evaluating Resource Selection Functions","volume":"157","author":"Boyce","year":"2002","journal-title":"Ecol. Model."},{"key":"ref_123","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1148\/radiology.143.1.7063747","article-title":"The Meaning and Use of the Area under a Receiver Operating Characteristic (ROC) Curve","volume":"143","author":"Hanley","year":"1982","journal-title":"Radiology"},{"key":"ref_124","doi-asserted-by":"crossref","first-page":"1035","DOI":"10.1111\/ddi.13252","article-title":"Assessing the Reliability of Species Distribution Projections in Climate Change Research","volume":"27","author":"Santini","year":"2021","journal-title":"Divers. Distrib."},{"key":"ref_125","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1111\/geb.12861","article-title":"Geographically Variable Biotic Interactions and Implications for Species Ranges","volume":"28","author":"Early","year":"2019","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_126","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1111\/ele.12043","article-title":"Species Interactions Constrain Geographic Range Expansion over Evolutionary Time","volume":"16","author":"Pigot","year":"2013","journal-title":"Ecol. Lett."},{"key":"ref_127","doi-asserted-by":"crossref","first-page":"534","DOI":"10.1093\/biosci\/bix014","article-title":"An Ecoregion-Based Approach to Protecting Half the Terrestrial Realm","volume":"67","author":"Dinerstein","year":"2017","journal-title":"BioScience"}],"container-title":["Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2306-5729\/8\/9\/144\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T20:54:41Z","timestamp":1760129681000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2306-5729\/8\/9\/144"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,21]]},"references-count":127,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2023,9]]}},"alternative-id":["data8090144"],"URL":"https:\/\/doi.org\/10.3390\/data8090144","relation":{},"ISSN":["2306-5729"],"issn-type":[{"value":"2306-5729","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,21]]}}}