An evaluation framework for designing ecological security patterns and prioritizing ecological corridors: application in Jiangsu Province, China

Xiao, Shan-Cai; Wu, Wenjun; Jie, Guo; Ming-hao, OU; Pueppke, Steven G.; Ou, Wei; Yu, Tao

doi:10.1007/s10980-020-01113-6

Cited by 109 publications

(57 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The sources refer to the patches that provide the chief ecosystem services in the region, which produce higher value for the landscape process development [39] and have ecological significance for maintaining biodiversity. Furthermore, the sources refer to the source point of species diffusion and maintenance, which plays a crucial role in maintaining the health and integrity of landscape patterns and meeting human ecological needs [40].…”

Section: Identification Of Ecological Sourcesmentioning

confidence: 99%

“…From a global perspective, the influence of ancient hard carbonate rocks, water, heat matching of monsoon climate and unreasonable human interference in the Southwestern Karst region of China makes it extremely sensitive to ecology, reducing the ecological carrying capacity of the southwestern Karst region [39]. Furthermore, the insufficiency of congenital soil formation conditions for carbonate rocks and the shallow soil layer limits the vegetation growth in Karst areas and causes frequent rocky desertification and soil erosion [40].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Ecological Security Pattern Construction in Karst Area Based on Ant Algorithm

Xiao-min

Yue

Pei

et al. 2021

IJERPH

View full text Add to dashboard Cite

Constructing the ecological security pattern is imperative to stabilize ecosystem services and sustainable development coordination of the social economy and ecology. This paper focuses on the Karst region in southeastern Yunnan, which is ecologically fragile. This paper selects the main types of ecosystem services and identifies the ecological source using hot spot analysis for Guangnan County. An inclusive consideration of the regional ecologic conditions and the rocky desertification formation mechanism was made. The resistance factor index system was developed to generate the basic resistance surface modified by the ecological sensitivity index. The Ant algorithm and Kernel density analysis were used to determine ecological corridor range and ecological restoration points that constructed the ecological security pattern of Guangnan County. The results demonstrated that, firstly, there were twenty-three sources in Guangnan County, with a total area of 1292.77 km2, accounting for 16.74% of the total. The forests were the chief ecological sources distributed in the non-Karst area, where Bamei Town, Yangliujing Township and Nasa Town had the highest distribution. Secondly, the revised resistance value is similar to “Zhe (Zhetu Township)-Lian (Liancheng Town)-Yang (Yangliujing Township)-Ban (Bambang Township)”. The values were lower in the north and higher in the south, which is consistent with the regional distribution of Karst. Thirdly, the constructed ecological security pattern of the “Source-Corridor-Ecological restoration point” paradigm had twenty-three ecological corridors. The chief ecological and potential corridor areas were 804.95 km2 and 621.2 km2, respectively. There are thirty-eight ecological restoration points mainly distributed in the principal ecological corridors and play a vital role in maintaining the corridor connectivity between sources. The results provide guidance and theoretical basis for the ecological security patterns construction in Karst areas, regional ecologic security protection and sustainable development promotion.

show abstract

Section: Identification Of Ecological Sourcesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ecological Security Pattern Construction in Karst Area Based on Ant Algorithm

Xiao-min

Yue

Pei

et al. 2021

IJERPH

View full text Add to dashboard Cite

show abstract

“…Ecological resistance reflects the hindrance degree to the migration and communication of species in different landscape types, which is mainly determined by the type of land cover and the degree of human disturbance. With reference to relevant studies [55,80,81], the ecological resistance of woodland, grassland, water area, farmland, unused land, and construction land were assigned 1, 10, 50, 100, 200, and 250, respectively. We used the night light data to modify the ecological resistance coefficient of the land-use type to obtain the comprehensive resistance surface.…”

Section: Construction Of Ecological Resistance Surfacementioning

confidence: 99%

“…The first type is the direct determination method, that is, the nature reserve [51], urban green space [52], and regional land cover types [15] are directly selected as ecological sources. The second type is the model evaluation method, which identifies ecological sources through ecosystem service supply and demand measurement [53], key ecosystem service analysis [54,55], ecological risk assessment [47], granularity reverse method [56], ecological sensitivity assessment [57], MSPA [29,35], and other evaluation methods. Most studies on the extraction of the ecological corridors were based on land-use types to construct comprehensive resistance surfaces and then used the minimum cumulative resistance model to generate potential ecological corridors.…”

Section: Introductionmentioning

confidence: 99%

Linking Ecosystem Service and MSPA to Construct Landscape Ecological Network of the Huaiyang Section of the Grand Canal

Tang

Zhou

Wang

et al. 2021

Land

View full text Add to dashboard Cite

Rapid urbanization and drastic land-use change have led to landscape fragmentation and ecological environment deterioration in the regions along the Grand Canal. Building an ecological network is an important means to improve the connectivity of habitat patches and carry out ecological protection and restoration of territorial space, which is of great significance to ensure regional biodiversity and ecological security. In this article, we took the Huaiyang Section of the Grand Canal (Huaiyang Canal) as the study area, used the ecosystem service assessment model, morphological spatial pattern analysis (MSPA), and the landscape connectivity evaluation method to identify ecological sources, then used the minimum cumulative resistance (MCR) model and the gravity model to extract and grade ecological corridors. Based on these, the ecological network was constructed by combining the identification method of ecological nodes and ecological breakpoints. The aim of this was to provide a reference for the ecological space optimization of Huaiyang Canal and even the entire Grand Canal, the formulation of an ecological protection plan, and the implementation of territorial space ecological restoration. The results showed that the spatial distribution of the water conservation service, soil conservation service, carbon sequestration service, and biodiversity conservation service were significantly different, and the level of ecosystem services showed a trend of continuous degradation from 1990 to 2018. There were 12 ecological source patches comprehensively identified by multiple methods, with a total area of 2007.06 km2. In terms of spatial distribution, large ecological source patches were mainly distributed in the central and western areas adjacent to the Grand Canal, while small ecological source patches were scattered in the eastern and southern border regions of the study area. The total length of ecological corridors was 373.84 km, of which the number of the primary ecological corridor, secondary ecological corridor, and tertiary ecological corridor were 9, 7, and 7, respectively, and the suitable width of the ecological corridor was 200–400 m. After optimization, the proposed ecological network was composed of 3 key ecological source patches, 9 important ecological source patches, 23 terrestrial corridors, 10 aquatic corridors, and 18 ecological nodes. Twenty-nine ecological breakpoints were key areas requiring ecological restoration. The overlap rate of the integrated ecosystem service change area and land-use change area was 99%, indicating that land-use change has a significant impact on regional ecosystem services. This study is of great significance for carrying out the ecological protection and restoration of the Huaiyang Canal and adjusting local land-use policies. It also provides a typical case demonstration for identifying an ecological network and formulating ecological restoration planning for other sections of the Grand Canal and cities along the canal.

show abstract

“…The issue continues with five papers which present useful methods or methodological advancements for landscape sustainability studies. Xiao et al (2020) propose an evaluation framework by integrating ecosystem services and ecological sensitivity indicators to identify key landscape patches for constructing conservation networks, which is applied to a case study of Jiangsu Province of China. Duarte et al (2020) propose a user-inspired framework and an associated tool for integrating stakeholders and scientific knowledge of landscape services for restoring multifunctional landscapes.…”

Section: Topics Of the Special Issuementioning

confidence: 99%