{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T17:54:42Z","timestamp":1791914082247,"version":"4.3.4"},"reference-count":42,"publisher":"Public Library of Science (PLoS)","issue":"10","license":[{"start":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T00:00:00Z","timestamp":1791849600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:p>\n                    Accurate modeling of species distribution is essential for effective biodiversity conservation, afforestation planning, and land-use management. This study presents a comparative analysis of two prominent presence-only species distribution models Maximum Entropy (MaxEnt) and MaxNet to evaluate their efficacy in predicting the ecological niche of\n                    <jats:italic>Eucalyptus tereticornis<\/jats:italic>\n                    in a semi-arid agro-climatic region. A total of 138 georeferenced occurrence records and 25 pseudo-absence points were used, incorporating key environmental variables such as wind speed, temperature range, precipitation, and root zone soil wetness. Both models were optimized and assessed using metrics including accuracy, precision, recall, F1-score, and the Area Under the Curve (AUC). Results indicate that MaxEnt outperformed MaxNet in most metrics, achieving an accuracy of 87.5% and an AUC of 0.956, compared to MaxNet\u2019s accuracy of 75% and AUC of 0.926. Environmental variable importance varied by model, with MaxEnt highlighting surface pressure and MaxNet emphasizing wind speed. Probability density plots revealed that MaxEnt distinctly identified high suitability zones, whereas MaxNet offered a more balanced, conservative distribution across the landscape. These differences underscore the influence of algorithm design on ecological inference. This study emphasizes the importance of model selection and tuning in species distribution modeling and suggests that integrating outputs from both models can yield robust insights for habitat suitability assessment. The findings support data-driven afforestation strategies, especially under changing climatic conditions, and provide valuable guidance for sustainable plantation efforts involving\n                    <jats:italic>Eucalyptus tereticornis<\/jats:italic>\n                    in similar agro-ecological zones.\n                  <\/jats:p>","DOI":"10.1371\/journal.pone.0360385","type":"journal-article","created":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T17:37:52Z","timestamp":1791913072000},"page":"e0360385","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Integrating MaxEnt and MaxNet for climate-resilient habitat restoration: Predicting the ecological niche of Eucalyptus tereticornis in semi-arid landscapes"],"prefix":"10.1371","volume":"21","author":[{"given":"Pavan","family":"Kumar","sequence":"first","affiliation":[{"name":"Rani Lakshmi Bai Central Agricultural University","place":["Jhansi, Uttar Pradesh, India"],"department":["Department of Forest Resource Management, College of Horticulture and Forestry"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Megha","family":"Paul","sequence":"additional","affiliation":[{"name":"Rani Lakshmi Bai Central Agricultural University","place":["Jhansi, Uttar Pradesh, India"],"department":["Centre of Geospatial Science and Technology, College of Horticulture and Forestry"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Preeti","family":"Kumari","sequence":"additional","affiliation":[{"name":"Amity University","place":["Ranchi, India"],"department":["Department of Environmental Science"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9531-1044","authenticated-orcid":true,"given":"Manmohan","family":"Dobriyal","sequence":"additional","affiliation":[{"name":"Rani Lakshmi Bai Central Agricultural University","place":["Jhansi, Uttar Pradesh, India"],"department":["College of Horticulture and Forestry"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pankaj","family":"Lavania","sequence":"additional","affiliation":[{"name":"Rani Lakshmi Bai Central Agricultural University","place":["Jhansi, Uttar Pradesh, India"],"department":["Department of Forest Resource Management, College of Horticulture and Forestry"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manish","family":"Srivastav","sequence":"additional","affiliation":[{"name":"Rani Lakshmi Bai Central Agricultural University","place":["Jhansi, Uttar Pradesh, India"],"department":["College of Horticulture and Forestry"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Prem Chandra","family":"Pandey","sequence":"additional","affiliation":[{"name":"Shiv Nadar Institution of Eminence (Deemed to be University)","place":["Greater Noida, India"],"department":["Department of Life Sciences, School of Natural Sciences (SoNS)"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1325-4483","authenticated-orcid":true,"given":"Benson","family":"Turyasingura","sequence":"additional","affiliation":[{"name":"Kabale University","place":["Kampala City, Uganda"],"department":["Faculty of Agriculture and Environmental Sciences"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2026,10,13]]},"reference":[{"issue":"3","key":"pone.0360385.ref001","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1111\/j.1472-4642.2007.00356.x","article-title":"The application of predictive modelling of species distribution to biodiversity conservation","volume":"13","author":"JP Rodr\u00edguez","year":"2007","journal-title":"Diversity and Distributions"},{"issue":"1","key":"pone.0360385.ref002","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":"J Elith","year":"2009","journal-title":"Ann Rev Ecol Evol System"},{"key":"pone.0360385.ref003","author":"J Franklin","journal-title":"Mapping species distributions: spatial inference and prediction. 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