Title: |
Application of Species Distribution Models to Predict the Distribution Model of Cinnamomum Balansae Lecomte in Ta Đung National Park, Đak Nong, Viet Nam |
Authors: |
Phan Thi Hang, Nguyen Thi Thanh Huong |
Source: |
International Journal of Latest Engineering Research and Applications, pp 01 - 11, Vol 09 - No. 09, 2024 |
Abstract: |
Cinnamomum balansae Lecomte is a rare and endangered tree species in Vietnam in general and the Central Highlands in particular, with high ecological and economic value. Information on the species’ distribution plays a crucial role in conservation efforts, especially in the context of current climate change. This study aims to apply the species distribution models (SDMs) to predict suitable habitats and potential areas where Cinnamomum balansae Lecomte appears in Ta Dung National Park, Dak Nong, Vietnam. The results recorded 72 distribution points within the study area, with 48 points used to build the model and 24 points used to test the model’s accuracy. The study utilized Pearson correlation coefficients, PCA analysis, and the JackKnife method to select 8 important variables from the initial 25 variables affecting the habitat of Cinnamomum balansae. These variables include Bio04 (temperature seasonality), Bio01 (annual mean temperature), Bio07 (annual temperature range), Bio13 (precipitation of the wettest month), current forest cover status, NDVI, slope, and elevation. The MaxEnt model yielded an AUC score of 86%, indicating good performance in predicting the current and potential distribution of the species. This model provides a solid scientific basis for identifying priority areas for habitat conservation and management, ensuring the long-term survival of the species under increasingly severe climate change conditions |
Keywords: |
SDM, MaxEnt, Cinnamomum balansae, GIS, Habitat suitability |
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DOI: |
10.56581/IJLERA.9.9.01-11 |
