{
  "abstract": "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 Eucalyptus tereticornis 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’s 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 Eucalyptus tereticornis in similar agro-ecological zones.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Forest Resource Management, College of Horticulture and Forestry, Rani Lakshmi Bai Central Agricultural University, Jhansi, Uttar Pradesh, India",
    "Centre of Geospatial Science and Technology, College of Horticulture and Forestry, Rani Lakshmi Bai Central Agricultural University, Jhansi, Uttar Pradesh, India",
    "Department of Environmental Science, Amity University, Ranchi, India",
    "College of Horticulture and Forestry, Rani Lakshmi Bai Central Agricultural University, Jhansi, Uttar Pradesh, India",
    "Department of Life Sciences, School of Natural Sciences (SoNS), Shiv Nadar Institution of Eminence (Deemed to be University), Greater Noida, India",
    "Faculty of Agriculture and Environmental Sciences, Kabale University, Kampala City, Uganda"
  ],
  "article_type": "Research Article",
  "arxiv": null,
  "author_total": 8,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Pavan Kumar"
    },
    {
      "affs": [
        1
      ],
      "name": "Megha Paul"
    },
    {
      "affs": [
        2
      ],
      "name": "Preeti Kumari"
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    {
      "affs": [
        3
      ],
      "name": "Manmohan Dobriyal"
    },
    {
      "affs": [
        0
      ],
      "name": "Pankaj Lavania"
    },
    {
      "affs": [
        3
      ],
      "name": "Manish Srivastav"
    },
    {
      "affs": [
        4
      ],
      "name": "Prem Chandra Pandey"
    },
    {
      "affs": [
        5
      ],
      "name": "Benson Turyasingura"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/58kdetp7jqvej.bib",
  "cited_by": 0,
  "doi": "10.1371/journal.pone.0360385",
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  "id": "58kdetp7jqvej",
  "issns": [
    "1932-6203"
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  "landing_url": "https://doi.org/10.1371/journal.pone.0360385",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2302|Species Distribution and Climate Change"
    ],
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      "plos",
      "/Biology and life sciences/Biogeography/Phylogeography"
    ],
    [
      "plos",
      "/Biology and life sciences/Ecology/Ecological niches"
    ],
    [
      "plos",
      "/Biology and life sciences/Ecology/Habitats"
    ],
    [
      "plos",
      "/Biology and life sciences/Evolutionary biology/Population genetics/Phylogeography"
    ],
    [
      "plos",
      "/Biology and life sciences/Genetics/Population genetics/Phylogeography"
    ],
    [
      "plos",
      "/Biology and life sciences/Population biology/Population genetics/Phylogeography"
    ],
    [
      "plos",
      "/Earth sciences/Atmospheric science/Climatology/Climate change"
    ],
    [
      "plos",
      "/Earth sciences/Atmospheric science/Meteorology/Wind"
    ],
    [
      "plos",
      "/Earth sciences/Geography/Biogeography/Phylogeography"
    ],
    [
      "plos",
      "/Ecology and environmental sciences/Biogeography/Phylogeography"
    ],
    [
      "plos",
      "/Ecology and environmental sciences/Conservation science"
    ],
    [
      "plos",
      "/Ecology and environmental sciences/Ecology/Ecological niches"
    ],
    [
      "plos",
      "/Ecology and environmental sciences/Ecology/Habitats"
    ],
    [
      "plos",
      "/Ecology and environmental sciences/Environmental geography"
    ],
    [
      "plos",
      "/Physical sciences/Mathematics/Probability theory/Probability distribution"
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  "openalex": "W7221697428",
  "pdf_url": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0360385&type=printable",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-13",
  "publisher": "Public Library of Science",
  "ris": "https://research.draconitic.com/paper/58kdetp7jqvej.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:23Z",
      "native_id": "10.1371/journal.pone.0360385",
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      "url": "https://doi.org/10.1371/journal.pone.0360385"
    }
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  "subjects": [
    {
      "field": "biology",
      "origin": "plos:ecology",
      "subfield": "ecology"
    }
  ],
  "title": "Integrating MaxEnt and MaxNet for climate-resilient habitat restoration: Predicting the ecological niche of Eucalyptus tereticornis in semi-arid landscapes",
  "title_text": "Integrating MaxEnt and MaxNet for climate-resilient habitat restoration: Predicting the ecological niche of Eucalyptus tereticornis in semi-arid landscapes",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:23Z",
  "url": "https://research.draconitic.com/paper/58kdetp7jqvej",
  "venue": "PLOS One",
  "versions": []
}