Habitat Suitability Evaluation of Different Forest Species in Lvliang Mountain by Combining Prior Knowledge and MaxEnt Model

The accurate habitat suitability evaluation of forest species is vital for resource management and conservation. Therefore, the previously published thresholds soil organic carbon (SOC) contents six main were used to screen sample points in this study; maximum entropy modeling (MaxEnt) was applied predict potential distribution those Lvliang Mountain, Shanxi Province, China. following results derived: (1) area under curve (AUC) value MaxEnt model 0.905, indicating had high accuracy; (2) environmental factors affecting woodlands mean diurnal temperature range, solar radiation, population density slope; (3) accurately depicted most suitable areas species, namely Populus davidiana Dode (Malpighiales: Salicaceae), Betula platyphylla Sukaczev (Fagales: Betulaceae), Quercus wutaishanica Mayr Fagaceae), Platycladus orientalis (L.) Franco (Pinales: Cupressaceae), Larix gmelinii (Rupr.) Kuzen. Pinaceae) Pinus tabuliformis Carrière Pinaceae). This study has improved representativeness samples based on prior knowledge enhance biological meaning accuracy prediction results. Its findings provide a theoretical basis protection, measures alongside reconstruction low-yield low-efficiency forests.