[1]王方怡,张嘉诚,曹彦,等.闽东滨海湿地互花米草入侵生态风险评价[J].森林与环境学报,2020,40(06):579-587.[doi:10.13324/j.cnki.jfcf.2020.06.003]
 WANG Fangyi,ZHANG Jiacheng,CAO Yan,et al.Ecological risk assessment of Spartina alterniflora invasion in coastal wetlands of eastern Fujian[J].,2020,40(06):579-587.[doi:10.13324/j.cnki.jfcf.2020.06.003]
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闽东滨海湿地互花米草入侵生态风险评价()
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《森林与环境学报》[ISSN:2096-0018/CN:35-1327/S]

卷:
40卷
期数:
2020年06期
页码:
579-587
栏目:
出版日期:
2020-11-15

文章信息/Info

Title:
Ecological risk assessment of Spartina alterniflora invasion in coastal wetlands of eastern Fujian
作者:
王方怡1 张嘉诚1 曹彦12 游巍斌1 何东进1
1. 福建农林大学林学院, 福建 福州 350002;
2. 福建江夏学院金融学院, 福建 福州 350108
Author(s):
WANG Fangyi1 ZHANG Jiacheng1 CAO Yan12 YOU Weibin1 HE Dongjin1
1. College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China;
2. College of Finance, Fujian Jiangxia University, Fuzhou, Fujian 350108, China
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
Keywords:
DPSIR modelSpartina alternifloravegetation invasionecological riskevaluationcoastal wetland in eastern Fujian
分类号:
Q948
DOI:
10.13324/j.cnki.jfcf.2020.06.003
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12 583.00 hm2;高生态风险面积则不断减少,共减少了2 509.92 hm2;中生态风险面积10 a间共增加了4 433.04 hm2;低生态风险分布面积比例最大,面积先减少5 593.50 hm2,后增加990.23 hm2,共减少4 603.28 hm2;极低生态风险面积不断减少,10 a减少了9 912.20 hm2。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。
Abstract:
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 12 583.00 hm2 in 10 years. The area of high ecological risk decreased continuously with a total decrease of 2 509.92 hm2, whereas the area of medium ecological risk increased by 4 433.04 hm2 in 10 years. The area of low ecological risk was the largest, with the area decreasing by 5 593.50 hm2 first and then increasing by 990.23 hm2, totaling 4 603.28 hm2 of decreased area. The area of extremely low ecological risk continuously decreased, thereby reaching 9 912.20 hm2 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 Changchun Town, and the central part of Shajiang Town and Sansha Town. Meanwhile, the low-risk areas were mainly distributed west of Baiyang Township, Chongru She Nationality Township, Watergate She Nationality Township, Songcheng, the western part of Yacheng Town, and north of Songgang and Yantian She Nationality Township. Our results concluded that the spatial and temporal distributions of ecological risks in the study area are closely related to the structure and intensity of land use and human activities.

参考文献/References:

[1] 苏少川,何东进,王韧,等.闽东滨海湿地生态系统服务功能价值评估[J].湿地科学与管理,2012,8(3):14-18.
[2] 林立,何东进,王韧,等.闽东滨海湿地景观分类体系与格局特征[J].西南林业大学学报,2012,32(2):62-67.
[3] 程敏,张丽云,崔丽娟,等.滨海湿地生态系统服务及其价值评估研究进展[J].生态学报, 2016,36(23):7509-7518.
[4] CICIN-SAIN B,KNECHT R W.Integrated coastal and ocean management:concepts ton and practices[M].Washington DC:Island Press,1998.
[5] CAMACHO-VALDEZ V,RUIZ-LUNA A,GHERMANDI A,et al.Effects of land use changes on the ecosystem service values of coastal wetlands[J].Environmental Management,2014,54(4):852-864.
[6] 张晓龙,刘乐军,李培英,等.中国滨海湿地退化评估[J].海洋通报,2014,33(1):112-119.
[7] 王宝霞,曾从盛,陈丹,等.互花米草入侵对闽江河口芦苇湿地土壤有机碳的影响[J].中国水土保持科学,2010,8(5):114-118.
[8] 谷兴华.无瓣海桑对互花米草地土壤因子变化影响的初步研究[D].长沙:中南林业科技大学,2010.
[9] 张亦默,王卿,卢蒙,等.中国东部沿海互花米草种群生活史特征的纬度变异与可塑性[J].生物多样性,2008,16(5):462-469.
[10] 刘明月.中国滨海湿地互花米草入侵遥感监测及变化分析[D].北京:中国科学院大学,2018.
[11] 张华兵,刘红玉,侯明行.人工管理和自然驱动下盐城海滨湿地互花米草沼泽演变及空间差异[J].生态学报,2013,33(15):4767-4775.
[12] ZENGEYA T A,ROBERTSON M P,BOOTH A J,et al.A qualitative ecological risk assessment of the invasive Nile tilapia, Oreochromis niloticus in a sub-tropical African river system(Limpopo River,South Africa)[J].Aquatic Conservation Marine and Freshwater Ecosystems,2013,23(1):51-64.
[13] 张嘉诚,何东进,游巍斌,等.互花米草入侵对霞浦滨海湿地景观的影响[J].森林与环境学报,2018,38(3):302-308.
[14] 何东进,肖石红,李晓景,等.中国红树林北缘区秋茄树种群空间分布格局和结构特征分析[J].植物资源与环境学报, 2014,23(2):41-47.
[15] 侯栋梁,何东进,游巍斌,等.互花米草幼苗对NaCl和CdCl2交互胁迫的生理响应研究[J].西南林业大学学报,2016, 30(6):15-21.
[16] 白静,严锦钰,何东进,等.互花米草入侵对闽东滨海湿地红树林土壤理化性质和酶活性的影响[J].北京林业大学学报,2017,39(1):70-77.
[17] 李屹,陈一宁,李炎.红树林与互花米草盐沼交界区空间格局变化规律的遥感分析[J].海洋通报,2017,36(3):348-360.
[18] OECD.Organisation for Economic Co-operation and Development(OECD) core set of indicators for environmental performance reviews[R/OL].Paris:OECD,2003[2005-03-13].http://www.oecd.org/dataoecd/32/20/31558547.
[19] GARI S R,NEWTON A,ICELY J D.A review of the application and evolution of the DPSIR framework with an emphasis on coastal social-ecological systems[J].Ocean and Coastal Management,2015,103:63-77.
[20] 王贺年,张曼胤,崔丽娟,等.基于DPSIR模型的衡水湖湿地生态环境质量评价[J].湿地科学,2019,17(2):193-198.
[21] PINTO R,DE JONGE V N,NETO J M,et al.Towards a DPSIR driven integration of ecological value,water uses and ecosystem services for estuarine systems[J].Ocean and Coastal Management,2013,72:64-79.
[22] NEWTON A,WEICHSELGARTNER J.Hotspots of coastal vulnerability:a DPSIR analysis to find societal pathways and responses[J].Estuarine Coastal and Shelf Science,2014,140(2):123-133.
[23] 李玉照,刘永,颜小品.基于DPSIR模型的流域生态安全评价指标体系研究[J].北京大学学报(自然科学版),2012,48(6):971-981.
[24] 万生新,王悦泰.基于DPSIR模型的沂河流域水生态安全评价方法[J].山东农业大学学报(自然科学版),2019,50(3):502-508.
[25] 王琳,孙苑苑,王晋.滨海湿地生态系统敏感性评价方法研究[J].中国人口资源与环境,2016,26(S2):223-227.
[26] 张嘉诚.闽东滨海湿地互花米草入侵生态风险评价与预警研究[D].福州:福建农林大学,2018.
[27] SAATY T L.Fundamentals of decision making and priority theory with the analytic hierarchy proces[M].Pittsburgh:RWS Publications,2000.
[28] 王志秀,钟艳霞,田欣,等.西北典型城区湖泊湿地水环境承载力研究[J].中国农村水利水电,2019(7):83-86.
[29] 王元云,何奕忻,鞠佩君,等.层次分析法在若尔盖湿地退化研究中的应用[J].应用与环境生物学报,2019,25(1):46-52.
[30] 高俊刚,吴雪,张镱锂,等.基于等级层次分析法的金沙江下游地区生态功能分区[J].生态学报,2016,36(1):134-147.
[31] 蒲霜.广东四市林业外来植物入侵风险评价[D].广州:华南农业大学,2016.
[32] 喻立,王建力,李昌晓,等.基于DPSIR与AHP的宁夏沙湖湿地健康评价[J].西南大学学报(自然科学版),2014,36(2):124-130.
[33] 董殿波,孙学凯,魏亚伟,等.基于DPSIR模型的水丰湖生态安全评估[J].河北大学学报(自然科学版),2017,37(6):630-639.
[34] 赵宇翔.中国林业生物安全风险评价与管理对策研究[D].北京:北京林业大学,2012.
[35] 吴良冰,张华,孙毅,等.湿地生态系统健康评价研究进展[J].中国农村水利水电,2009(10):22-26.
[36] 欧文霞.闽东沿岸海洋生态监控区生态系统健康评价与管理研究[D].厦门:厦门大学,2006.
[37] 张丽平,周亚圣,刘君成,等.遮荫对刈割互花米草生物量及渗透调节物质的影响[J].西南林业大学学报(自然科学版), 2019,39(4):142-148.
[38] 张丽平,周亚圣,侯栋梁,等.盐和重金属镉交互胁迫对互花米草生长的影响[J].四川农业大学学报,2019,37(3):330-337.

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备注/Memo

备注/Memo:
收稿日期:2020-08-04;改回日期:2020-10-20。
基金项目: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)。
作者简介:王方怡(1995-),女,博士研究生,从事森林培育与海岸带管理研究。Email:774892902@qq.com。
通讯作者:何东进(1969-),男,教授,从事森林生态学与景观生态学研究。Email:fjhdj1009@126.com。
更新日期/Last Update: 1900-01-01