摘要
为研究互花米草入侵我国滨海湿地的生态风险,以闽东滨海湿地为研究对象,基于驱动力-压力-状态-影响-响应(DPSIR)模型,运用遥感方法与技术,结合遥感影像、野外实测数据及气象数据、社会经济统计资料,构建了互花米草入侵生态风险评价指标体系,对研究区互花米草入侵生态风险进行评价。结果表明:从生态风险变化趋势来看,2006—2016年霞浦滨海湿地生态风险呈不断增加的趋势,但后5 a风险增加速度减缓,斑块相对集中。2006—2016年间,极高生态风险面积不断增加,10 a共增加了12583.00 hm^2;高生态风险面积则不断减少,共减少了2509.92 hm^2;中生态风险面积10 a间共增加了4433.04 hm^2;低生态风险分布面积比例最大,面积先减少5593.50 hm^2,后增加990.23 hm^2,共减少4603.28 hm^2;极低生态风险面积不断减少,10 a减少了9912.20 hm^2。从分布范围来看,极高、高和中生态风险主要以研究区域东南部为主,中生态风险集中在中部区域,而低、极低生态风险主要以西北部为主,从西北到东南部大致的分布梯度为极低生态风险、低生态风险、中生态风险、高生态风险、极高生态风险、中生态风险、低生态风险。高风险区主要集中在溪南镇、松港东部、下浒镇和长春镇的西部、沙江镇和三沙镇的中部。低风险区主要分布在柏洋乡、崇儒畲族乡、水门畲族乡、松城、牙城镇西部,松港和盐田畲族乡的北部。由此可见,研究区生态风险时空分布与土地利用结构及其强度、人类活动之间关系密切。
In order to study the ecological risk of invasion of China′s coastal wetlands,the coastal wetland in eastern Fujian was taken as the research area.Based on the driving force-pressure-state-impact-response(DPSIR)model,we aimed to analyze the spatial distribution of remote sensing methods and technologies,remote sensing images,and field measurement data and meteorological data,as well as socio-economic statistical data and other data.These were combined to construct the ecological risk assessment index system of Spartina alterniflora invasion.The results showed that the ecological risk of the Xiapu coastal wetland experienced an increasing trend from 2006 to 2016,but the risk increased slowly,and patches were relatively concentrated over the next 5 years.From 2006 to 2016,the area of extremely high ecological risk increased continuously,with a total increase of 12583.00 hm^2 in 10 years.The area of high ecological risk decreased continuously with a total decrease of 2509.92 hm^2,whereas the area of medium ecological risk increased by 4433.04 hm^2 in 10 years.The area of low ecological risk was the largest,with the area decreasing by 5593.50 hm^2 first and then increasing by 990.23 hm^2,totaling 4603.28 hm^2 of decreased area.The area of extremely low ecological risk continuously decreased,thereby reaching 9912.20 hm^2 in 10 years.From the distribution scope,the extremely high and high ecological risks were mainly located southeast of the research area,and medium ecological risk was concentrated in the central area,whereas the extremely low and low ecological risks were mainly in the northwest of the research area.The general distribution gradient from northwest to southeast transitioned from areas of extremely low ecological risks and low ecological risks to medium ecological risks,high ecological risks,extremely high ecological risks,then medium ecological risks,and again low ecological risks.High-risk areas were mainly concentrated in Xinan Town,the eastern part of Songgang,the western part of Xiahu Town and Ch
作者
王方怡
张嘉诚
曹彦
游巍斌
何东进
WANG Fangyi;ZHANG Jiacheng;CAO Yan;YOU Weibin;HE Dongjin(College of Forestry,Fujian Agriculture and Forestry University,Fuzhou,Fujian 350002,China;College of Finance,Fujian Jiangxia University,Fuzhou,Fujian 350108,China)
出处
《森林与环境学报》
CSCD
北大核心
2020年第6期579-587,共9页
Journal of Forest and Environment
基金
福建农林大学科技创新项目(KFA17280A)
海岸带森林生态过程创新团队项目(71201800705)
国家自然科学基金项目(31370624,30870435)
福建省科技厅引导性项目(2015N0018)
福建省科技厅重点项目(2009N0009)。
关键词
DPSIR模型
互花米草
植被入侵
生态风险
评价
闽东滨海湿地
DPSIR model
Spartina alterniflora
vegetation invasion
ecological risk
evaluation
coastal wetland in eastern Fujian
