Rapid Invasion of <i>Spartina alterniflora</i> in the Coastal Zone of Mainland China: New Observations from Landsat OLI Images

作     者：Liu, Mingyue Mao, Dehua Wang, Zongming Li, Lin Man, Weidong Jia, Mingming Ren, Chunying Zhang, Yuanzhi 

作者机构：Chinese Acad Sci Northeast Inst Geog & Agroecol Key Lab Wetland Ecol & Environm Changchun 130102 Jilin Peoples R China North China Univ Sci & Technol Coll Min Engn Tangshan 063210 Peoples R China Indiana Univ Purdue Univ Dept Earth Sci Indianapolis IN 46202 USA Chinese Univ Hong Kong Ctr Housing Innovat Shatin Hong Kong Peoples R China Chinese Acad Sci Key Lab Lunar Sci & Deep Explorat Natl Astron Observ Beijing 100101 Peoples R China 

出 版 物：《REMOTE SENSING》 (Remote Sens.)

年 卷 期：2018年第10卷第12期

页      面：1933-1933页

核心收录：

学科分类：0830[工学-环境科学与工程（可授工学、理学、农学学位）] 1002[医学-临床医学] 070801[理学-固体地球物理学] 07[理学] 08[工学] 0708[理学-地球物理学] 0816[工学-测绘科学与技术] 

基　　金：National Key R&D Program of China [2016YFC0500201] Science & Technology Basic Resources Investigation Program of China [2017FY100706] Strategic Priority Research Program of the Chinese Academy of Sciences [XDA19040503] National Natural Science Foundation of China 

主　　题：invasive plants Spartina alterniflora CAS S alterniflora object-based image analysis Landsat OLI 

摘      要：Plant invasion imposes significant threats to biodiversity and ecosystem function. Thus, monitoring the spatial pattern of invasive plants is vital for effective ecosystem management. Spartina alterniflora (S. alterniflora) has been one of the most prevalent invasive plants along the China coast, and its spread has had severe ecological consequences. Here, we provide new observation from Landsat operational land imager (OLI) images. Specifically, 43 Landsat-8 OLI images from 2014 to 2016, a combination of object-based image analysis (OBIA) and support vector machine (SVM) methods, and field surveys covering the whole coast were used to construct an up-to-date dataset for 2015 and investigate the spatial variability of S. alterniflora in the coastal zone of mainland China. The classification results achieved good estimation, with a kappa coefficient of 0.86 and 96% overall accuracy. Our results revealed that there was approximately 545.80 km(2) of S. alterniflora distributed in the coastal zone of mainland China in 2015, from Hebei to Guangxi provinces. Nearly 92% of the total area of S. alterniflora was distributed within four provinces: Jiangsu, Shanghai, Zhejiang, and Fujian. Seven national nature reserves invaded by S. alterniflora encompassed approximately one-third (174.35 km(2)) of the total area of S. alterniflora over mainland China. The Yancheng National Nature Reserve exhibited the largest area of S. alterniflora (115.62 km(2)) among the reserves. Given the rapid and extensive expansion of S. alterniflora in the 40 years since its introduction and its various ecological effects, geospatially varied responding decisions are needed to promote sustainable coastal ecosystems.