scholarly journals Research on the Evolution of Island Coastal Wetland Landscape Pattern

2021 ◽  
Vol 787 (1) ◽  
pp. 012053
Author(s):  
D G Wang ◽  
Y J Dou ◽  
A Q Shi ◽  
J Cheng ◽  
D A Lv
Author(s):  
Wenpeng Lin ◽  
Yuan Li ◽  
Dan Xu ◽  
Ying Zeng

Hangzhou Bay is an important estuarial coastal wetland, which offers a large number of land and ecological resources. It plays a significant role in the sustainable development of resources, environment and economy. In this paper, based on the remote sensing images in 1996, 2005 and 2013, we extracted the coastal wetland data and analyzed the wetland landscape pattern of the Hangzhou Bay in the past 20 years. The results show that: (1) the area of coastal wetland is heading downwards in the recent decades. Paddy field and the coastal wetland diminish greatly. (2) the single dynamic degree of wetland of the Hangzhou Bay displays that paddy fields and coastal wetlands are shrinking, but lakes, reservoirs and ponds are constantly expanding. (3) the wetland landscape pattern index shows that total patch area of the coastal wetland and paddy fields have gradually diminished. The Shannon diversity index, the Shannon evenness index as well as the landscape separation index of the coastal wetlands in the Hangzhou Bay increase steadily. The landscape pattern in the study area has shown a trend of high fragmentation, dominance decreases, but some dominant landscape still exist in this region. (4) Urbanization and natural factors lead to the reduction of wetland area. Besides the pressure of population is a major threat to the wetland. The study will provide scientific basis for long-term planning for this region.


2020 ◽  
Vol 13 (1) ◽  
pp. 149
Author(s):  
Peng Tian ◽  
Luodan Cao ◽  
Jialin Li ◽  
Ruiliang Pu ◽  
Hongbo Gong ◽  
...  

Carrying out coastal wetland landscape simulations and current and future ecological risk assessments is conducive to formulating policies for coastal wetland landscape planning and promoting the coordinated development of the social economy and ecological environment. This study used the Cellular Automaton (CA)-Markov model to simulate the landscape data of the study area under different scenarios in 2021 and 2025, and built an ecological risk assessment (ERS) index model to analyze the differences of spatio-temporal characteristics of ecological risks. The results showed that: (1) The test accuracy of the CA–Markov model was 0.9562 after passing through the consistency test. The spatial distribution data of landscapes under current utilization scenarios (CUSs), natural development scenarios (NDSs), and ecological protection scenarios (EPSs) were gained through simulations. (2) During 1991–2025, the landscape types of Yancheng coastal wetlands undertake complicated transfers and have vast transfer regions. Under CUSs and NDSs, a large number of natural wetlands are transferred to artificial wetlands. Under EPSs, the area of artificial wetlands declines and artificial wetlands are mainly transferred to natural wetlands. (3) The ecological risk of Yancheng Coastal Wetland increases, accompanied with significant spatial heterogeneity, which is manifested as low in the north area and high in the south area, and there exist some differences between sea areas and land areas. Ecological risk levels transfer violently.


2007 ◽  
Author(s):  
Chunfang Kong ◽  
Kai Xu ◽  
Chonglong Wu ◽  
Hongbin Deng ◽  
Yi Zhang

2018 ◽  
Vol 38 (12) ◽  
Author(s):  
吕金霞 LÜ Jinxia ◽  
蒋卫国 JIANG Weiguo ◽  
王文杰 WANG Wenjie ◽  
陈坤 CHEN Kun ◽  
邓越 DENG Yue ◽  
...  

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