Pattern changes and early risk warning of Spartina alterniflora invasion:a study of mangrove-dominated wetlands in northeastern Fujian,China

作     者：Fangyi Wang Jiacheng Zhang Yan Cao Ren Wang Giri Kattel Dongjin He Weibin You Fangyi Wang;Jiacheng Zhang;Yan Cao;Ren Wang;Giri Kattel;Dongjin He;Weibin You

作者机构：College of ForestryFujian Agriculture and Forestry UniversityFuzhou 350002People’s Republic of China South Forest Resources and Environment Engineering Technology Research Center of Fujian ProvinceFuzhou 350002People’s Republic of China College of FinanceFujian Jiangxia UniversityFuzhou 350002People’s Republic of China Fuding Forestry BureauFuzhou 355200People’s Republic of China School of Geographical SciencesNanjing University of Information Science&TechnologyNanjing 210044People’s Republic of China Department of Infrastructure EngineeringUniversity of MelbourneMelbourne 3010Australia Department of Hydraulic EngineeringTsinghua UniversityBeijing 100084People’s Republic of China Fujian Vocational College of AgricultureFuzhou 350002People’s Republic of China 

出 版 物：《林业研究:英文版》 (Journal of Forestry Research)

年 卷 期：2023年第34卷第5期

页      面：1447-1462页

核心收录：

学科分类：090703[农学-森林保护学] 0907[农学-林学] 09[农学] 0837[工学-安全科学与工程] 0903[农学-农业资源与环境] 0901[农学-作物学] 0824[工学-船舶与海洋工程] 0833[工学-城乡规划学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0713[理学-生态学] 

基　　金：funded by Forestry Peak Discipline Construction Project of Fujian Agriculture and Forestry University (72202200205) Fujian Province Natural Science (2022J01575) Science and Technology Innovation Project of Fujian Agriculture and Forestry University (KFA20036A) 

主　　题：Early warning system Ecological risk BP neural network model Spartina alterniflora invasion Kandelia candel beaches Fujian China 

摘      要：The exotic saltmarsh cordgrass,Spartina alterniflora(Loisel)Peterson&Saarela,is one of the important causes for the extensive destruction of mangroves in China due to its invasive *** species has rapidly spread wildly across coastal wetlands,challenging resource managers for control of its further *** investigation of *** invasion and associated ecological risk is urgent in China s coastal *** this study,an ecological risk invasive index system was developed based on the Driving Force-Pressure-State-Impact-Response *** were made of warning degrees :zero warning and light,moderate,strong,and extreme warning,by developing a back propagation(BP)artificial neural network model for coastal wetlands in eastern Fujian *** results suggest that *** mainly has invaded Kandelia candel beaches and farmlands with clustered *** early warning indicator system assessed the ecological risk of the invasion and showed a ladder-like distribution from high to low extending from the urban area in the central inland region with changes spread to adjacent *** of light warning and extreme warning accounted for43%and 7%,respectively,suggesting the BP neural network model is reliable prediction of the ecological risk of *** *** model predicts that distribution pattern of this invasive species will change little in the next 10 ***,the invaded patches will become relatively more concentrated without warning *** suggest that human factors such as land use activities may partially determine changes in warning *** results emphasize that an early warning system for *** invasion in China s eastern coastal wetlands is significant,and comprehensive control measures are needed,particularly for *** beach.