Dynamic response of the coastline and coastal landscape patterns to Hemeroby: A case study along the south coast of Yingkou
Document Type
Article
Publication Date
1-1-2017
Abstract
Multi-temporal remote sensing data were used to extract coastline change information and calculate fractal dimensions from 1990 to 2015 for the south coast of Yingkou. Fishnet tools in Arcgis10.2 were used to create the analysis units. This study explored the dynamic response of the coastline and coastal landscape patterns to Hemeroby along the south coast of Yingkou using landscape pattern and Hemeroby indexes. The results showed that (1) Reclamation increased the shoreline and coastline fractal dimensions. Shoreline annual growth rate were 0. 52% (1990-2000), 0. 53% (2000-2005), 4. 98% (2005-2010), and 0. 96% (2010-2015); (2) The landscape pattern index reflected the landscape boundary, complexity, and fragmentation of the landscape, which increased prior to 2005, but exhibited a decreasing trend thereafter. (3) During the study period, the areas of low and high Hemeroby increased, whereas the area of moderate intensity decreased. (4) Synchronous changes occurred in Patch Density, Edge Density, Total Edge, Landscape Shape Index, Mean Fractal Dimension and the Hemeroby Index. The Shannon diversity index was inversely related to human disturbance intensity. (5) The change in shoreline length and shoreline fractal dimensions was negatively correlated with the degree of human disturbance, with correlation coefficients of -0.97 and -0.98, respectively. This indicated that the weaker human activity was, the longer and more complex the shoreline became.
Publication Source (Journal or Book title)
Shengtai Xuebao
Number
607
First Page
7427
Last Page
7437
Recommended Citation
Liu, F., Wu, T., Jiang, G., Meng, X., Tong, L., Zhang, Y., Suo, A., & Zhu, L. (2017). Dynamic response of the coastline and coastal landscape patterns to Hemeroby: A case study along the south coast of Yingkou. Shengtai Xuebao, 37 (22), 7427-7437. https://doi.org/10.5846/stxb201609211902