Modeling potential distribution of Baccaurea macrocarpa in South Kalimantan, Indonesia

Abstract

Abstract. Gunawan, Rizki MI, Anafarida O, Mahmudah N. 2021. Modeling potential distribution of Baccaurea macrocarpa in South Kalimantan, Indonesia. Biodiversitas 22: 3230-3236. Baccaurea macrocarpa is fruit tree that has a potential source of food and medicine. However, little is known about the occurrences and potential distribution of B. macrocarpa mainly in South Kalimantan. This study is the first to predict the distribution of B. macrocarpa in South Kalimantan using maximum entropy (MaxEnt). Modeling included 102 occurrence records with 19 bioclimatic variables, solar radiation, altitude, and slope. Temperature, solar radiation, and precipitation were the key environmental factor influencing the distribution of B. macrocarpa. The district of HS (Hulu Sungai Selatan), HT (Hulu Sungai Tengah), HU (Hulu Sungai Utara), BL (Balangan), and TG (Tabalong) were predicted as highly suitable areas (IHS 0.6-1) for this species. The MaxEnt model performed better than the random method with an Area Under Curve (AUC) value of 0.817, indicating that the model is good and informative model for habitat suitability of B. macrocarpa. The predicted model we presented here can help habitat conservation, biodiversity conservation planning and monitoring, and cultivation in the future for B. macrocarpa.

Filtering multi-collinear predictor variables from multi-resolution rasters of WorldClim 2.1 for Ecological Niche Modeling in Indonesian context

“…After VIF screening, the variables may be preliminarily run in MaxEnt (minimum of triplicate runs), which may be helpful to identify the least significant variables based on jackknife test for evaluating relative importance of variables, % contribution to the model as well as individual response to the variable (Jueterbock et al 2016;Gunawan et al 2021). In case, multiple models are built for the same species utilizing multiple sets of non-collinear variables, the final model is suggested to selected based upon lowest AICc score, highest AUC value and incorporating lesser number of correlated variables (VIF <10) (Warren et al 2010).…”

“…Ecological niche modeling has been increasingly employed in Indonesia for modeling present habitat suitability and in some cases future potential distribution. Some notable studies from the region employing ENM techniques using WorldClim data are: Proboscis Monkey (Nasalis larvatus) (Suwarto et al 2016), Javan hawk-eagle Nisaetus bartelsi (Nursamsi et al 2018), Zebra Wood (Guettarda speciosa) (Yudaputra et al 2019), Baccaurea macrocarpa trees (Gunawan et al 2021), Selaginella spp. (Setyawan et al 2017(Setyawan et al , 2020a(Setyawan et al , 2020b(Setyawan et al , 2021 and so on.…”

First assessment of Iranian pomegranate germplasm using targeted metabolites and morphological traits to develop the core collection and modeling of the current and future spatial distribution under climate change conditions

“…This model reveals the best forecasting capacity and is the most accurate method [50,51]. Gunawan et al [52] modeled the geographical distribution potential of the Baccaurea macrocarpa fruit tree in southern Kalimantan, Indonesia, and found the MaxEnt model had the better predictive performance.…”