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 

机构地区：[1]College of Forestry,Fujian Agriculture and Forestry University,Fuzhou 350002,People’s Republic of China [2]South Forest Resources and Environment Engineering Technology Research Center of Fujian Province,Fuzhou 350002,People’s Republic of China [3]College of Finance,Fujian Jiangxia University,Fuzhou 350002,People’s Republic of China [4]Fuding Forestry Bureau,Fuzhou 355200,People’s Republic of China [5]School of Geographical Sciences,Nanjing University of Information Science&Technology,Nanjing 210044,People’s Republic of China [6]Department of Infrastructure Engineering,University of Melbourne,Melbourne 3010,Australia [7]Department of Hydraulic Engineering,Tsinghua University,Beijing 100084,People’s Republic of China [8]Fujian Vocational College of Agriculture,Fuzhou 350002,People’s Republic of China

出　　处：《Journal of Forestry Research》2023年第5期1447-1462,共16页林业研究（英文版）

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)。

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 nature.The species has rapidly spread wildly across coastal wetlands,challenging resource managers for control of its further spread.An investigation of S.alterniflora invasion and associated ecological risk is urgent in China's coastal wetlands.In this study,an ecological risk invasive index system was developed based on the Driving Force-Pressure-State-Impact-Response framework.Predictions 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 Province.Our results suggest that S.alterniflora mainly has invaded Kandelia candel beaches and farmlands with clustered distributions.An 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 areas.Areas 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 S.alterniflora invasion.The model predicts that distribution pattern of this invasive species will change little in the next 10 years.However,the invaded patches will become relatively more concentrated without warning predicted.We suggest that human factors such as land use activities may partially determine changes in warning degree.Our results emphasize that an early warning system for S.alterniflora invasion in China's eastern coastal wetlands is significant,and comprehensive control measures are needed,particularly for K.candel beach.

关 键 词：Early warning system Ecological risk BP neural network model Spartina alterniflora invasion Kandelia candel beaches Fujian China 

分 类 号：S765.1[农业科学—森林保护学]