东北林业大学学报2026，Vol.54Issue(9)：41-47,59,8.
3种主要红树植物在福建的潜在适生区预测
Prediction of Potential Suitable Habitats for Three Major Mangrove Species in Fujian Province
摘要
Abstract
Based on field occurrence point data of three mangrove species,namely Aegiceras corniculatum,Avicennia marina and Kandelia obovata,together with 27 environmental variables covering climate,soil and topography,the maximum entropy(MaxEnt)model optimized via the ENMeval package in R language was adopted to predict the potential suitable spatial distributions of the three native mangrove species in Fujian Province.The results showed that the AUC values of the models for all three mangrove species exceeded 0.9,indicating high reliability of the simulation outputs.Shared patterns were ob-served in species-environment responses:climatic factors acted as the primary dominant drivers,among which precipitation of the coldest quarter and mean temperature of the wettest quarter exhibited the highest contribution rates,site factors served as secondary dominant drivers,with soil type and total nitrogen mass fraction in sediments imposing remarkable re-strictive effects on species distribution.Spatially,the highly suitable habitat of A.corniculatum covered an area of 214.25 km2,mainly distributed south of Quanzhou Bay.The highly suitable habitat of A.marina spanned 175.00 km2,concen-trated south of Meizhou Bay.K.obovata possessed the strongest ecological adaptability,with its highly suitable habitat reaching 305.00 km2,covering nearly all coastal bays and estuaries of Fujian,ranging from Shacheng Port of Fuding in the north to Zhao'an Bay in the south.After removing overlapping suitable zones of the three species,the potential restoration area for mangroves in Fujian Province reached 374.56 km2.This study provides theoretical references for species selection in mangrove vegetation restoration projects across Fujian Province.关键词
红树林/最大熵模型/潜在适生区/福建省Key words
Mangroves/MaxEnt model/Potential suitable habitats/Fujian Province分类
农业科技引用本文复制引用
汪荣..3种主要红树植物在福建的潜在适生区预测[J].东北林业大学学报,2026,54(9):41-47,59,8.基金项目
福建省林业科技项目(2025FKJ32 （）
2022FKJ18). （）
