Predicting habitat suitability for conservation of IUCN- red listed medicinal species Chloroxylon swietenia DC., in Tamil Nadu, India using ensemble modeling

Bibliographic Data

ID19586232
AuthorsRajendran Silambarasan (Vaidyaratnam P.S. Varier Ayurveda College), Kasthuri Nair A, M Gomathi (0000-0002-2927-9231, Bharathidasan University), Hareendran Nair J (Vaidyaratnam P.S. Varier Ayurveda College), Nishanth Kumar S (Vaidyaratnam P.S. Varier Ayurveda College), Shan Sasidharan (0000-0002-1670-3638, Semmelweis University, corresponding author)
Year2025
Volume21
Pages100951
Publication date2025-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueTrees Forests and People (JOURNAL)
Journal identifiersISSN: 2666-7193 • E-ISSN: 2666-7193
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.tfp.2025.100951
OpenAlexW4412871301
LanguageEN
References cited80

Potential habitat suitability is crucial for protecting the vulnerable species in the ecosystem. • Chloroxylon swietenia DC., is an IUCN red listed medicinally important species. • Species distribution modelling study on C. swietenia effectively estimated the impact of climate change on ecosystems such as the Eastern Ghats, Western Ghats, Sacred Forests, and Scrub Forests of Tamil Nadu. • BCC-CSM2-MR and EC-Earth3-Veg projection supports the expansion of C. swietenia population in western Ghats and its neighbouring region. • Climatic, Soil, Elevation, Land use land cover variables were noticed as a key factor for the determination of habitat suitability of C. swietenia. Climate change is profoundly affecting biodiversity, highlighting the need for a comprehensive understanding of its impacts on ecosystems and species to inform sustainable conservation strategies. This study focuses on Chloroxylon swietenia DC., an endemic species listed as Vulnerable under the IUCN Red List (criterion A1c), to assess its habitat suitability under various climate change scenarios using ensemble modeling. We incorporated 19 bioclimatic variables, four soil-related variables (bulk density), and five land use/land cover variables (tree cover, cultivated land, water, and built-up areas) to model the species' habitat suitability across four Shared Socio-economic Pathways (SSPs) for the periods 2021–2040, 2041–2060, 2061–2080, and 2081–2100, using two different climate projections: BCC_CSM2-MR and EC-Earth3-Veg. Among the algorithms tested, the Random Forest model exhibited the highest performance. The eight climatic variables that contributed most significantly to the model were Bio1 (annual mean temperature), Bio3 (isothermality), Bio4 (temperature seasonality), Bio7 (temperature annual range), Bio13 (precipitation of wettest month), Bio15 (precipitation seasonality), Bio18 (precipitation of warmest quarter), and Bio19 (precipitation of coldest quarter), along with one soil variable (bulk density) and four land use/land cover variables (tree cover, cultivated land, built-up areas, and water). The ensemble model identified the Western and Eastern Ghats, sacred groves, and scrub forests of Tamil Nadu as highly suitable habitats for C. swietenia . Notably, the habitat suitability range of C. swietenia increased in the EC-Earth3-Veg projection, whereas the BCC_CSM2-MR projection indicated a significant reduction in suitability at SSP5–8.5. In contrast, the EC-Earth3-Veg projection showed maximum habitat expansion between 2041 and 2060 and 2081–2100 across all SSPs. Notably maximum gain noticed in weighed mean ensemble type than the committee averaging. Furthermore, the results indicate an increase in the species' population range in the Western Ghats and its neighboring region and reduction noticed in the Eastern ghats region

Agroforestry · Biology · Endangered species · Geography · Habitat · IUCN Red List · Tamil · Environmental Science · Essential Oils and Antimicrobial Activity · Metabolomics and Mass Spectrometry Studies · Species Distribution and Climate Change · Ecology

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