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  <title>MaxEnt modeling for predicting impacts of climate change on the suitable habitat of Morus indica in Tamil Nadu, India</title>

      <doi>https://doi.org/10.21276/AATCCReview.2024.12.04.244</doi>
  
  <authors>
      </authors>

      <abstract><![CDATA[<p>This study assesses the habitat suitability of Morus indica under current and future climate<br />
scenarios (2050s, 2070s, and 2090s) using MaxEnt modeling. Habitat suitability was classified<br />
into non-suitable (&lt; 0.3), medium (0.3-0.5), and high (&gt; 0.5) categories. Under current<br />
conditions, medium suitability areas cover the largest extent (17,445.44 sq. km), followed by<br />
non-suitable (5,045.22 sq. km) and high suitability (3,463.806 sq. km) areas. Future projections<br />
indicate substantial alterations: by the 2050s, non-suitable areas increased by 36.75%, with<br />
medium and high suitability areas decreasing by 7.54% and 15.54%, respectively. This trend<br />
intensifies by the 2070s and 2090s, with non-suitable areas expanding dramatically and high-<br />
suitability areas declining by up to 65%, suggesting habitat fragmentation and decreased species<br />
viability. Challenges in this study include the complexity of modeling habitat suitability under<br />
diverse climate scenarios and the potential for data limitations affecting accuracy. Despite these<br />
challenges, the study contributes valuable insights into the future distribution of Morus indica<br />
and underscores the urgent need for targeted conservation strategies to address the adverse<br />
impacts of climate change on its habitats. Key predictors of habitat suitability include Bio 4<br />
(Temperature Seasonality), Bio 12 (Annual Precipitation), Bio 2 (Mean Diurnal Temperature<br />
Range), and Bio 18 (Precipitation of the Warmest Quarter).</p>
]]></abstract>
  
  <body><![CDATA[<div class="aatcc-article-container"><div class="aatcc-category-label">Original Research Article</div><div class="aatcc-meta-box"><div class="aatcc-doi-wrap">
            <a class="aatcc-doi-btn" href="https://doi.org/10.21276/AATCCReview.2024.12.04.244" target="_blank">https://doi.org/10.21276/AATCCReview.2024.12.04.244</a>
        </div><div class="aatcc-abstract-section">
                <h3>Abstract</h3>
                <div class="aatcc-abstract-text"><p>This study assesses the habitat suitability of Morus indica under current and future climate<br />
scenarios (2050s, 2070s, and 2090s) using MaxEnt modeling. Habitat suitability was classified<br />
into non-suitable (&lt; 0.3), medium (0.3-0.5), and high (&gt; 0.5) categories. Under current<br />
conditions, medium suitability areas cover the largest extent (17,445.44 sq. km), followed by<br />
non-suitable (5,045.22 sq. km) and high suitability (3,463.806 sq. km) areas. Future projections<br />
indicate substantial alterations: by the 2050s, non-suitable areas increased by 36.75%, with<br />
medium and high suitability areas decreasing by 7.54% and 15.54%, respectively. This trend<br />
intensifies by the 2070s and 2090s, with non-suitable areas expanding dramatically and high-<br />
suitability areas declining by up to 65%, suggesting habitat fragmentation and decreased species<br />
viability. Challenges in this study include the complexity of modeling habitat suitability under<br />
diverse climate scenarios and the potential for data limitations affecting accuracy. Despite these<br />
challenges, the study contributes valuable insights into the future distribution of Morus indica<br />
and underscores the urgent need for targeted conservation strategies to address the adverse<br />
impacts of climate change on its habitats. Key predictors of habitat suitability include Bio 4<br />
(Temperature Seasonality), Bio 12 (Annual Precipitation), Bio 2 (Mean Diurnal Temperature<br />
Range), and Bio 18 (Precipitation of the Warmest Quarter).</p>
</div>
            </div><div class="aatcc-pdf-wrap">
            <a class="aatcc-pdf-btn" href="https://aatcc.peerjournals.net/wp-content/uploads/2024/11/MaxEnt-modeling-for-predicting-impacts-of-climate-change-on-the-suitable-habitat-of-Morus-indica-in-Tamil-Nadu-India.pdf" target="_blank">View / Download PDF</a>
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