scholarly journals The Construction of Ecological Security Patterns in Coastal Areas Based on Landscape Ecological Risk Assessment—A Case Study of Jiaodong Peninsula, China

2021 ◽  
Vol 18 (22) ◽  
pp. 12249
Author(s):  
Yichen Yan ◽  
Hongrun Ju ◽  
Shengrui Zhang ◽  
Guokun Chen
Keyword(s):  
Ecological Risk ◽  
Principal Component ◽  
Coastal Areas ◽  
Ecological Security ◽  
Ecological Planning ◽  
Land Utilization ◽  
The North ◽  
Jiaodong Peninsula ◽  
Security Pattern ◽  
Landscape Ecological

Increasing land utilization, population aggregation and strong land–sea interaction make coastal areas an ecologically fragile environment. The construction of an ecological security pattern is important for maintaining the function of the coastal ecosystem. This paper takes Jiaodong Peninsula in China, a hilly coastal area, as an example for evaluating landscape ecological risk within a comprehensive framework of “nature–neighborhood–landscape”, based on spatial principal component analysis, and it constructs the ecological security pattern based on the minimum cumulative resistance model (MCR). The results showed that the overall level of ecological risk in the study area was medium. The connectivity between the areas of low landscape ecological risk was relatively low, and the high risk areas were concentrated in the north of the Peninsula. A total of 11 key ecological corridors of three types (water, green space and road corridors) and 105 potential corridors were constructed. According to the ecological network pattern, landscape ecological optimization suggestions were proposed: key corridors in the north and south of Jiaodong Peninsula should be connected; urban development should consider current ecological sources and corridors to prevent landscape fragmentation; and the ecological roles of potential corridors should be strengthened. This paper can provide a theoretical and practical basis for ecological planning and urban master planning in coastal areas in the future.

scholarly journals Analysis of ecological security pattern of rare earth mining areas in South China based on MCR model

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Hengkai Li ◽  
Yuting Liu ◽  
Qin Li ◽  
Xiuli Wang
Keyword(s):  
Rare Earth ◽  
South China ◽  
Source Area ◽  
Local Area ◽  
Mining Area ◽  
Ecological Security ◽  
Security Pattern ◽  
Landscape Ecological ◽  
Landscape Ecological Security ◽  
The Rare Earth

The rare earth mining area in South China is the main production base of ionic rare earth in the world, which has brought inestimable economic value to the local area and even the whole nation. However, due to the lack of mining technology and excessive pursuit for economic profits, a series of environmental problems have arisen, which is a great threat to the ecosystem of the mining area. Taking Lingbei rare earth mining area in Ganzhou as an example, this paper discriminated and analyzed such aspects as the ecological source, ecological corridor and ecological nodes of the mining area based on the landscape ecological security pattern theory and the minimum cumulative resistance model (MCR) method, and constructed a landscape ecological security pattern of the mining area during the 2009, 2013 and 2018. The results show that: i) The patch area of the ecological source of rare earth mining area is small, mainly concentrated in the east and west sides of the mining area. ii) During the selected year, the ecological source area, ecological corridors, radiation channels and the number of ecological nodes in the rare earth mining area are increasing, indicating that the landscape ecological security of the rare earth mining area has been improved to some extent, but it remains necessary for relevant departments to make a optimized planning to further reconstruct the ecological security pattern of the rare earth mining area.

Landscape ecological security pattern optimization based on the granularity inverse method: a case study in Xiuying District, Haikou

2015 ◽  
Vol 35 (19) ◽  
Author(s):  
陆禹 LU Yu ◽  
佘济云 SHE Jiyun ◽  
陈彩虹 CHEN Caihong ◽  
佘宇晨 SHE Yuchen ◽  
罗改改 LUO Gaigai
Keyword(s):  
Inverse Method ◽  
Ecological Security ◽  
Security Pattern ◽  
Landscape Ecological ◽  
Landscape Ecological Security

scholarly journals Simulating Urban Expansion Based on Ecological Security Pattern—A Case Study of Hangzhou, China

2021 ◽  
Vol 19 (1) ◽  
pp. 301
Author(s):  
Xiaochang Yang ◽  
Sinan Li ◽  
Congmou Zhu ◽  
Baiyu Dong ◽  
Hongwei Xu
Keyword(s):  
Urban Expansion ◽  
Source Area ◽  
Mountainous Area ◽  
Annual Growth Rate ◽  
Ecological Security ◽  
Construction Land ◽  
The North ◽  
Natural Development ◽  
Security Pattern ◽  
The Impact

Disordered urban expansion has encroached on a large amount of ecological land, resulting in the steady degradation of urban ecology, which has an adverse effect on the sustainable development of the region. An ecological security pattern can effectively control urban expansion, and it is of great significance to balance urban development and ecological protection. In order to analyze the impact of ecological security patterns on urban expansion, Hangzhou was taken as an example, the CA-Markov model and FLUS model were used to simulate the urban expansion pattern in 2030 under the natural development scenario and the ecological security scenario. The results showed that (1) the ecological source area in the study area is 630.90 km2 and was mainly distributed in the western mountainous area. There are 14 ecological corridors, primarily composed of valleys and rivers. Ecological nodes are mainly distributed on the north and south sides of the main urban area. (2) From 2000 to 2018, the annual increase index (AI) of construction land decreased in the northeast and southeast directions but increased in the northwest and southwest directions, and in the northeast direction the value was always the highest. Except for the southwest direction, the average annual growth rate (AGR) of construction land in the other directions decreased. At a distance from the city center of 30 km, AI was relatively higher and was increasing, while AGR was declining. At a distance of 30–45 km, both AI and AGR were increasing, indicating that the focus of construction land was moving outwards. (3) From 2018 to 2030, under both natural development scenario and ecological security scenario, construction land would keep expanding, but the construction land area, proportion, AI, and AGR of the latter would both be smaller than the former, indicating that the ecological security pattern can effectively curb urban expansion. Because of a large amount area of ecological sources, the expansion of construction land in the southwest direction would be constrained, especially under the ecological security scenario. The methods and results of this study can provide theoretical and application references for urban planning and green development in metropolises.

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