@article{Hudjimartsu_Herdiyeni_Prasetyo_Siswoyo_2017, place={Bogor, INA}, title={Prediction of The Spread of Acacia nilotica Invasive Species Using Generalized Linear Models}, volume={23}, url={https://journal.ipb.ac.id/index.php/jmht/article/view/19660}, abstractNote={<p><em>Acacia nilotica</em> is an invasive species in the Baluran National Park. The spread of <em>A. nilotica</em> is a serious threat that can disrupt the function of savanna ecosystems in providing food for herbivores and eventually led to a decrease in wildlife populations of herbivorous. The growth of <em>A. nilotica</em> invasive species is influenced by some environmental factors. In order to prevent the spread of <em>A. nilotica</em>, a model can be formed to prodict the species distribution based on the environmental factors namely generalized linear models. This research used the data from Siswoyo’s research in 2014, which consisted of environmental data and distribution of <em>A. nilotica</em>. The results showed that there were five environmental variables that significantly affect on the spread of <em>A. nilotica</em> invasive species. The variables included elevation, surface temperature, normalized difference vegetation index, normalized difference moisture index, and the distance from the river, with p-value less than 0.05. The accuracy of the prediction model on the spread of <em>A. nilotica</em> using GLM was 97.22% and the Area Under Curve (AUC) value was 0.981.</p><p> </p&gt;}, number={3}, journal={Jurnal Manajemen Hutan Tropika}, author={HudjimartsuSahid Agustian and Herdiyeni, Yeni and PrasetyoLilik Budi and Siswoyo, Agung}, year={2017}, month={Dec.}, pages={150-157} }