title: [Ecological risk assessment of human activity of rapid economic development regions in southern Jiangsu, China: a case study of Dantu District of Zhenjiang City].
abstract: This article investigated the spatiotemporal variation of landscape ecological risk in Dantu District of Zhenjiang City with statistical method based on the ETM remote sensing data in 2000 and 2005, and the TM remote sensing data in 2010, and quantitative index of regional ecological risk assessment was established with the employment of landscape index, so as to enhance the ecosystem management, prevent and reduce the regional ecological risk in southern Jiangsu with rapid economic development. The results showed that the fragmentations, divergence, and ecological losses of natural landscape types, such as forestland, wetland, waters, etc., were deteriorated with the expansion of built-up lands from 2000 to 2010. The higher ecological risk zone took up 5.7%, 9.0%, and 10.2% of the whole region in 2000, 2005, and 2010, respectively, which mainly distributed in the plain hilly region. During the study period, the area aggravating to the higher ecological risk zone was approximately 296.2 km2, 48% of the whole region. The ecological risk rose up in most of the region. The interference of rapid economic development to landscape patterns was even more intensive, with obvious spatial differences in ecological risk distribution. The measures of exploiting resources near the port, utilizing natural wetlands, constructing industrial parks, and rapid urbanization, etc., intensified the ecological risk and accelerated the conversion rate. Prompt strategies should be established to manage the ecological risk of this region.
authors.forename: Guang-Ling
authors.initials: GL
authors.lastname: Fang
authors.forename: Bao
authors.initials: B
authors.lastname: Xiang
authors.forename: Bao-Liang
authors.initials: BL
authors.lastname: Wang
authors.forename: Xia
authors.initials: X
authors.lastname: Jin
authors.forename: Yu
authors.initials: Y
authors.lastname: Hu
authors.forename: Li-Kun
authors.initials: LK
authors.lastname: Zhang
mesh_terms: D002681:China; D002947:Cities; D003247:Conservation of Natural Resources; D057217:Economic Development; D006801:Humans; D058998:Remote Sensing Technology; D018570:Risk Assessment; D062211:Spatio-Temporal Analysis; D014507:Urbanization