Combining GBIF and MaxEnt to predict the suitable habitat of Alnus formosana
In: Journal of Chinese Soil and Water Conservation. Chinese Soil and Water Conservation Society: China. ISSN 0255-6073, more
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| Keywords |
Angiosperms > Dicotyledons > Fagales > Betulaceae > Alnus > Forest trees > Alnus formosana
Terrestrial |
| Authors | | Top |
- Chiu, C.-A.
- Hsu, H.-S.
- Lin, S.-H.
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| Abstract |
Selecting appropriate species is the first key step for vegetation rehabilitation. Novel species distribution modeling (SDM) can assist in making scientific decisions to support species selection and predict suitable habitat. In this paper, we combine the open-access Global Biodiversity Information Facility (GBIF) database and MaxEnt modeling software to predict ＂Alnus formorsana＂ distribution. The results reveal that the accuracy assessment of our model is good within an area of 0.842 according to the receiver operating characteristic curve. We transform the predicted occurrence probability, through ArcGIS, to map the habitat suitability index (HSI) of ＂Alnus formorsana＂ that approximately corresponds with the observed vegetation in 9 nearby landslide areas. Based on our findings, we discuss the future challenges related to SDM. The proposed approach can be used in the future to facilitate proper application of native plants in soil and water conservation. |
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