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Research Article
Biodiversity Data Journal 12: e122325
https://doi.org/10.3897/BDJ.12.e122325 (16 May 2024)
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  • Introduction
  • Materials and methods
    • Species data and study areas
    • Environmental parameters
    • Methodology
      • Random Forest (RF)
      • Support Vector Machine (SVM)
      • Gradient Boosting Decision Tree (GBDT)
      • Classification and regression tree (CART)
      • Maximum Entropy (MaxEnt)
    • Model evaluation analyses
    • Habitat suitability index (HSI) evaluations
  • Result
    • Appropriate machine-learning algorithm for mapping the ENM of C. parthenoxylon in Vietnam
    • Current Habitat Suitability for C. parthenoxylon in Vietnam
    • Dynamics of Habitat Suitability area (HSI) for C. parthenoxylon under past and future scenarios
    • Important parameters determining the distribution of C. parthenoxylon in Vietnam
  • Discussion
    • GEE is a useful tool for species conservation
    • Recommendations for species conservation of C. parthenoxylon
    • Limitations of the study
  • Conclusions
  • Acknowledgements
  • References
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