Explanation of the Patterns, Spatial Relationships, and Node Functions of Biodiversity and Island: An Example of Nature Reserves in Guizhou, Southwest China

Liu, Yan; Yu, Lifei; An, Malaviya; Su, Haijun; He, Li; Yuan, Congjun

doi:10.3390/su11226197

Cited by 11 publications

(6 citation statements)

References 13 publications

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“…In this section, we discuss the results concerning the research questions raised in the introduction. As for the first research question (construct a minimum cumulative resistance model and calculate ecological resistance values so as to measure the ecological connectivity), firstly, ecological sources and zones were identified based on the distribution of ecological functional areas, which is consistent with Xu et al [62] and Yan et al [63]. In particular, the Ruoerge Wetland National Nature Reserve and Wolong National Nature Reserve in the Sanzhou region of Sichuan Province have been hotspots of research in the field of ecology [64][65][66][67].…”

Section: Discussionsupporting

confidence: 52%

Spatial and Temporal Patterns of Ecological Connectivity in the Ethnic Areas, Sichuan Province, China

Guo

Deng²,

Ran

et al. 2022

IJERPH

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With ongoing economic and social development, natural habitats are becoming increasingly fragmented, blocking habitat connections and reducing landscape connectivity. The study of changes in ecological connectivity can provide valuable information for habitat and landscape restoration, which are necessary for sustainable regional development. Despite the growing interest in this issue, studies that reveal the change in ecological connectivity in the compounded areas of ecological vulnerability and deep poverty are still lacking. In this paper, one of the most underdeveloped and ecologically fragile southwestern ethnic regions of China, the Sanzhou region of Sichuan Province, was the study area. Based on a vector map of current land-use status and vector data on ecosystem factors and nature reserves in 2010 and 2015, the change in ecological connectivity was analyzed using the minimum cumulative resistance model using GIS spatial analysis method. Firstly, ecological sources were identified based on the distribution of ecological functional areas. Secondly, the ecological resistance surface based on ecosystem service value is revised by integrating the three dimensions of topography and hydrology, ecological environment and development, and utilization intensity. Finally, the ecological connectivity of ethnic areas in southwest China in 2010 and 2015 was compared and analyzed through the perspective of ecological resistance. The results show that: (1) From 2010 to 2015, the overall ecological connectivity decreased. (2) There were six areas of high ecological resistance featuring human activity and ecological degradation: the Anning River Valley in Liangshan Prefecture, Ganzi, Dege and Luho counties in Ganzi Prefecture, and Ruoergai and Hongyuan counties in Aba Prefecture. (3) Low ecological resistance areas were more numerous and widely distributed, forming an ecological protection barrier for the three autonomous prefectures, and regulating and protecting their natural environments. It is necessary to maintain and strengthen this protection; accordingly, measures are proposed to improve ecological connectivity. This study provides a reference for achieving ecological security and harmonious coexistence between humans and nature in this region.

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Section: Discussionsupporting

confidence: 52%

Spatial and Temporal Patterns of Ecological Connectivity in the Ethnic Areas, Sichuan Province, China

Guo

Deng²,

Ran

et al. 2022

IJERPH

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“…This could be attributed to the fact that the development of the tourism economy has been accompanied by the construction of roads and others that are highly disruptive to the landscape, such as rivers, woodlands and meadows, reducing ecological safety [45]. Additionally, the construction of ecological safety zones cannot be separated from the selection and determination of nature reserves, which is consistent with the views of Xu et al [32] and Yan et al [87]. In particular, the nine nature reserves selected for this study have been research hotspots in the field of ecological research [88,89].…”

Section: The Ecological Security Pattern In the Garze Tibetan Autonom...supporting

confidence: 62%

Construction of Nature Reserves’ Ecological Security Pattern Based on Landscape Ecological Risk Assessment: A Case Study of Garze Tibetan Autonomous Prefecture, China

Liu

Yang

et al. 2023

Sustainability

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Human activities are constantly affecting ecological space, and the construction of ecological security patterns to ensure ecological security has become an issue that must be considered for sustainable development. At present, little attention has been paid to the ecological security of cities with a high number of nature reserves. In this study, we took Garze Tibetan Autonomous Prefecture in China, which has many nature reserves, as the research object to construct an ecological security pattern with nature reserves as ecological sources. Firstly, Fragstats 4.2 and ArcGIS 10.4 were used to obtain the ecological risk evaluation results of the study area landscape. Secondly, a “nature–society–landscape” resistance factor system and an ecological resistance surface were constructed using a minimum resistance model. Finally, the ecological safety zone of the nature reserve was divided, and the ecological safety pattern of the nature reserve was established. (1) The ecological risk of the study area shows a spatial distribution pattern of “low in the northwest and high in the southeast”, with low and moderate-low ecological risk dominating; (2) The study area has formed an ecological security pattern consisting of 9 ecological sources, 35 ecological nodes, 8 ecological corridors with a total length of 702.96 km and 4 ecological safety zones; (3) The ecological security pattern of nature reserves in the study area was divided into four categories: low, medium, high and moderate-high ecological safety zones, accounting for 20.62%, 27.34%, 24.48% and 27.55%, respectively. This study provides a new framework for the construction of urban ecological safety patterns and offers scientific guidance for the conservation and management of nature reserves and urban ecology.

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“…Previous studies grounded in landscape ecology theory have investigated the ecological environment at various scales, thereby forming the fundamental research paradigm of ecological networks: ecological source–ecological resistance surfaces–ecological corridors [ 7 , 15 ]. To identify ecological source sites, previous studies have used the attributes of the patches themselves (e.g., nature reserves, large forested areas, and grasslands) [ 16 – 19 ] or have selected ecological indicators, such as ecosystem service capacity [ 20 , 21 ] and ecological sensitivity [ 22 , 23 ] or vulnerability [ 24 ]. However, these methods do not adequately consider the connectivity between the patches.…”

Section: Introductionmentioning

confidence: 99%

Influence of large open-pit mines on the construction and optimization of urban ecological networks: A case study of Fushun City, China

Feng,

Bai,

Wang

2024

PLoS ONE

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Under the long-term effect of mineral resource exploitation, especially open-pit mining, ecosystems are severely disturbed. Constructing and optimizing urban ecological networks influenced by open-pit mines based on mine–city coordination helps integrate ecological restoration and the construction of urban ecological environments. We applied an InVEST model to Fushun City to evaluate urban ecosystem services under the influence of large open-pit mines. Twenty-one key patches important for maintaining landscape connectivity were screened as the ecological sources in the network, from which ecological resistance surfaces were constructed by combining the impacts of mines on the environment. Minimum cumulative resistance (MCR) and gravity models were then used to extract and classify ecological corridors favorable to species migration and diffusion. Fushun City had large spatial differences in ecosystem service functions, with high-value areas concentrated in the forest-rich Dongzhou District and the northern Shuncheng District. Under the influence of open-pit mining, the ecosystem service capacity of the region south of the Hunhe River was poor and lacked ecological sources. Urban ecological resistance surfaces reached a maximum in the open-pit mining area, and 210 ecological corridors were estimated using the MCR model, of which 46 were important. Only two corridors crossed the West and East open pit, forming two “ecological fracture surfaces.” The Dongzhou and eastern Shuncheng districts had complex network structures and stable ecological environments. In contrast, the central and southern parts of Fushun City lacked ecological corridors owing to the influence of mining pits and gangue mountains, had simple network structures, and low connectivities with other sources. Combined with Fushun City’s development plan, we propose that ecological network optimization should add new ecological source sites, reconstruct and repair ecological corridors, and upgrade ecological breakpoints. This study provides reference and basis for ecological network research in mining cities influenced by open-pit mines.

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Explanation of the Patterns, Spatial Relationships, and Node Functions of Biodiversity and Island: An Example of Nature Reserves in Guizhou, Southwest China

Cited by 11 publications

References 13 publications

Spatial and Temporal Patterns of Ecological Connectivity in the Ethnic Areas, Sichuan Province, China

Spatial and Temporal Patterns of Ecological Connectivity in the Ethnic Areas, Sichuan Province, China

Construction of Nature Reserves’ Ecological Security Pattern Based on Landscape Ecological Risk Assessment: A Case Study of Garze Tibetan Autonomous Prefecture, China

Influence of large open-pit mines on the construction and optimization of urban ecological networks: A case study of Fushun City, China

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