Evolution of Landscape Ecological Risk at the Optimal Scale
A Case Study of the Open Coastal Wetlands in Jiangsu, China
Bibliographic Data
| ID | 15470262 |
|---|---|
| Authors | Yongchao Liu (0000-0002-8092-9906, Ministry of Natural Resources, corresponding author), Yongxue Liu (0000-0002-6837-5015, Ningbo University, corresponding author), Jialin Li (0000-0002-1787-4236, Ningbo University), Wanyun Lu (Ningbo University), Xianglin Wei (0000-0002-6181-4441, Nanjing University), Chao Sun (0000-0001-6395-8687, Ningbo University) |
| Year | 2018 |
| Volume | 15 |
| Issue | 8 |
| Pages | 1691-1691 |
| Publication date | 2018-08-08 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph15081691 |
| PMID | 30096816 |
| OpenAlex | W2886877263 |
| Language | EN |
| Citations received | 10 |
| References cited | 50 |
Detailed analysis of the evolution characteristics of landscape ecological risk is crucial for coastal sustainable management and for understanding the potential environmental impacts of a man-made landform landscapes (MMLL). As a typical open coastal wetland, large-scale human activities (e.g., tidal reclamation, fishery activities, wind farm construction, and port construction) have substantially affected the evolution of the coastal ecological environment. Previous landscape ecological risk assessment studies have documented the effectiveness of assessing the quality of ecological environment processes. However, these studies have either focused on the noncoastal zone, or they have not considered the evolution of the spatial characteristics and ecological risk evolution of the landscape at an optimal scale. Here, we present a landscape ecological risk pattern (LERP) evolution model, based on two successive steps: first, we constructed an optimal scale method with an appropriate extent and grain using multi−temporal Landsat TM/OLI images acquired in the years 2000, 2004, 2008, 2013 and 2017, and then we calculated landscape ecological risk indices. Based on this model, the entire process of the spatiotemporal evolution of ecological risk patterns of the open coastal wetlands in Jiangsu, China, was determined. The principal findings are as follows: (1) The main landscape types in the study area are tidal flats and farmland, and the main features of the landscape evolution are a significant increase in aquafarming and a substantial decrease in the tidal flat area, while the landscape heterogeneity increased; (2) In the past 20 years, the areas of low and relatively low ecological risk in the study region were greatly reduced, while the areas of medium, relatively high, and high ecological risk greatly increased; the areas of high-grade ecological risk areas are mainly around Dongtai and Dafeng; (3) The area of ecological risk from low-grade to high-grade occupied 71.75% of the study area during 2000−2017. During the previous periods (2000−2004 and 2004−2008), the areas of low-grade ecological risk were transformed to areas of middle-grade ecological risk area, while during the later periods (2008−2013 and 2013−2017) there was a substantial increase in the proportion of areas of high-grade ecological risk. Our results complement the official database of coastal landscape planning, and provide important information for assessing the potential effects of MMLL processes on coastal environments
Cartography · Environmental resource management · Geography · Habitat · Landform · Landscape ecology · Scale (ratio · Wetland · Coastal and Marine Management · Coastal wetland ecosystem dynamics · Environmental Science · Land Use and Ecosystem Services · Ecology
When the tide gets high
A new risk probability calculation method for urban ecological risk assessment
Landscape Pattern and Ecological Risk Assessment in Guangxi Based on Land Use Change
Coastal Landscape Vulnerability Analysis in Eastern China—Based on Land-Use Change in Jiangsu Province
Land Use Change and Its Impact on Landscape Ecological Risk in Typical Areas of the Yellow River Basin in China
Identification of Priority Conservation Areas for Natural Heritage Sites Integrating Landscape Ecological Risks and Ecosystem Services
Variations of Habitat Quality and Ecological Risk and Their Correlations with Landscape Metrics in a Robust Human Disturbed Coastal Region—Case Study
Assessing the Terrain Gradient Effect of Landscape Ecological Risk in the Dianchi Lake Basin of China Using Geo-Information Tupu Method
Landscape Grain Effect in Yancheng Coastal Wetland and Its Response to Landscape Changes
Land use changes in the coastal zone of China’s Hebei Province and the corresponding impacts on habitat quality
A comparison of spatial autocorrelation indices and landscape metrics in measuring urban landscape fragmentation
The spatiotemporal form of urban growth
Science for managing ecosystem services
Landscape sustainability science
Geology of mankind
Ecological Risk Assessment of Land Use Change in the Poyang Lake Eco-economic Zone, China
Spatially Explicit Landscape-Level Ecological Risks Induced by Land Use and Land Cover Change in a National Ecologically Representative Region in China
Assessment of Regional Ecosystem Health—A Case Study of the Golden Triangle of Southern Fujian Province, China
The contribution of landscape ecology to sustainable land use research
Assessing coastal vulnerability to climate change
Modeling land use change impacts on hydrology and the use of landscape metrics as tools for watershed management
Land use and ecosystems services value changes and ecological land management in coastal Jiangsu, China
Spatio-temporal dynamics and evolution of land use change and landscape pattern in response to rapid urbanization
Urban ecology and sustainability
Assessing Risks to Wildlife Populations from Multiple Stressors
| Unique citing works | 10 |
|---|---|
| Citations per year | 1,43 |
| Citation span | 2019 - 2023 (5) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 10 |