Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China.
College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China.
Sensors (Basel). 2019 May 19;19(10):2308. doi: 10.3390/s19102308.
Given the extensive spread and ecological consequences of exotic () over the coast of mainland China, monitoring its spatiotemporal invasion patterns is important for the sake of coastal ecosystem management and ecological security. In this study, Landsat series images from 1990 to 2015 were used to establish multi-temporal datasets for documenting the temporal dynamics of invasion. Our observations revealed that had a continuous expansion with the area increasing by 50,204 ha during the considered 25 years. The largest expansion was identified in Jiangsu Province during the period of 1990-2000, and in Zhejiang Province during the periods 2000-2010 and 2010-2015. Three noticeable hotspots for invasion were Yancheng of Jiangsu, Chongming of Shanghai, and Ningbo of Zhejiang, and each had a net area increase larger than 5000 ha. Moreover, an obvious shrinkage of was identified in three coastal cities including the city of Cangzhou of Hebei, Dongguan, and Jiangmen of Guangdong. invaded mostly into mudflats (>93%) and shrank primarily due to aquaculture (55.5%). This study sheds light on the historical spatial patterns in distribution and thus is helpful for understanding its invasion mechanism and invasive species management.
鉴于外来物种互花米草在中国大陆沿海的广泛分布和生态后果,监测其时空入侵模式对于沿海生态系统管理和生态安全至关重要。本研究利用 1990 年至 2015 年的 Landsat 系列图像,建立多时相数据集,记录互花米草的时空入侵动态。我们的观测结果表明,互花米草连续扩张,25 年间面积增加了 50204 公顷。在 1990-2000 年期间,江苏省的扩张最大,在 2000-2010 年和 2010-2015 年期间,浙江省的扩张最大。互花米草入侵的三个显著热点是江苏盐城、上海崇明和浙江宁波,每个热点的净面积增加都超过 5000 公顷。此外,河北沧州、广东东莞和江门三个沿海城市的互花米草明显减少。互花米草主要入侵泥滩(>93%),因水产养殖(55.5%)而主要退缩。本研究揭示了互花米草分布的历史空间格局,有助于理解其入侵机制和入侵物种管理。