Modeling habitat suitability of Dipterocarpus alatus (Dipterocarpaceae) using MaxEnt along the Chao Phraya River in Central Thailand

Abstract

Dipterocarpus alatus plays a dominant role in the ecology and economics of riparian forests in Thailand. Using MaxEnt modeling, we identified potentially suitable regions for D. alatus along the Chao Phraya River in central Thailand. The modeling procedure used 465 occurrence records and 19 Worldclim environmental factors as well as aspect, slope and elevation data. The results indicated that precipitation is the key influential factor affecting the distribution of D. alatus. Highly suitable regions for this species included Nakhon Sawan, Uthai Thani, Loburi, Phra Nakhon Si Ayudhya, and Ang Thong Provinces along the Chao Phraya River. The statistically significant area under the receiver operating characteristics curve value (0.904) indicated that MaxEnt can be used to accurately predict suitable regions for growing commercially valuable plants such as D. alatus. These model results can facilitate habitat conservation and sustainable resource utilization of rare and important plants.

Assessment of Gene Flow to Wild Relatives and Nutritional Composition of Sugarcane in Brazil

“…These results indicate that rainfall has a crucial role in the distribution of these species, especially because they grow mainly in wetlands of warm regions. Similar results were found, for instance, for the distribution model of Dipterocarpus alatus in central Thailand (Kamyo and Asanok, 2019).…”

“…occurs from the Center-West to the South and S. villosum Steud., the most widely distributed, is present from the Northeast to the South (Filgueiras and Welker, 2013). The distribution model that predicts the habitat and the niche of a species depends on the refinement of the variables and the validation tests, but these frequently present distortions (Phillips et al, 2006;Kamyo and Asanok, 2019).…”

“…The results of the distribution model must be rigorously assessed, because the ecological niche of a species covers an area wider than the geographic zone the species occupies and not all the suitable areas are inhabited (Kamyo and Asanok, 2019). The populations collected in great part of the country, mentioned in Materials and Methods, were utilized in the validation of the distribution model.…”

Maximum entropy modeling for the conservation of Hopea odorata in riparian forests, central Thailand

“…Some of the most common threshold determination methods include using a minimum training presence logistic threshold, a 10 th percentile training presence logistic threshold, and an equal training sensitivity and specificity logistic threshold (Phillips et al 2006). We selected a 10 th percentile training presence logistic threshold (Kamyo and Asanok 2020). This threshold was applied using the average of all runs performed to reclassify the averaged model results to match the threshold values in Arc GIS.…”

Smallholder decision-making process in technology adoption intention: implications for Dipterocarpus alatus in Northeastern Thailand

“…Studies have suggested that it has potential for ecosystem support, and its chemical components could be extracted for applications in the medicinal, cosmeceutical, and pharmaceutical fields (Akihisa et al, 2004;Yongram et al, 2019). Its resin can also be used as gasoline-and diesel-like fuel for engines (Suiuay et al, 2019) and can provide benefits in support and provisioning-type services, particularly in riparian forests (Asanok et al, 2017;Kamyo and Asanok, 2020). Additionally, it can provide shade for edible mushrooms (Butkhup et al, 2018;Kaewgrajang et al, 2013).…”