Landscape Ecological Risk and Ecological Security Pattern Construction in World Natural Heritage Sites: A Case Study of Bayinbuluke, Xinjiang, China

Chen, Xiao; Yang, Zhaoping; Han, Fang

doi:10.3390/ijgi11060328

Cited by 13 publications

(6 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Bayinbuluke Grassland (42 • 18 ~43 • 34 N, 82 • 27 ~86 • 17 E), in the southern hinterland of the central part of Mountain Tianshan, is located in the northwest region of Hejing county in Xinjiang Province [34]. Furthermore, it is the second largest grassland in China and the most extensive subalpine, alpine meadow grassland in the desert region of China, with a total area of 3523.94 km 2 [35,36], and the main vegetation types are alpine grassland and swampy alpine meadows [37]. The Bayinbuluke Grassland is part of the Kaidu River basin, where water comes mainly from alpine snow melting and the recharge of natural precipitation.…”

Section: Study Areamentioning

confidence: 99%

Spatiotemporal Pattern of Invasive Pedicularis in the Bayinbuluke Land, China, during 2019–2021: An Analysis Based on PlanetScope and Sentinel-2 Data

Wang,

Tang,

Zhang

et al. 2023

Remote Sensing

View full text Add to dashboard Cite

The accurate identification and monitoring of invasive plants are of great significance to sustainable ecological development. The invasive Pedicularis poses a severe threat to native biodiversity, ecological security, socioeconomic development, and human health in the Bayinbuluke Grassland, China. It is imperative and useful to obtain a precise distribution map of Pedicularis for controlling its spread. This study used the positive and unlabeled learning (PUL) method to extract Pedicularis from the Bayinbuluke Grassland based on multi-period Sentinel-2 and PlanetScope remote sensing images. A change rate model for a single land cover type and a dynamic transfer matrix were constructed under GIS to reflect the spatiotemporal distribution of Pedicularis. The results reveal that (1) the PUL method accurately identifies Pedicularis in satellite images, achieving F1-scores above 0.70 and up to 0.94 across all three datasets: PlanetScope data (seven features), Sentinel-2 data (seven features), and Sentinel-2 data (thirteen features). (2) When comparing the three datasets, the number of features is more important than the spatial resolution in terms of use in the PUL method of Pedicularis extraction. Nevertheless, when compared with PlanetScope data, Sentinel-2 data demonstrated a higher level of accuracy in predicting the distribution of Pedicularis. (3) During the 2019–2021 growing season, the distribution area of Pedicularis decreased, and the distribution was mainly concentrated in the northeast and southeast of Bayinbuluke Swan Lake. The acquired spatiotemporal pattern of invasive Pedicularis could potentially be used to aid in controlling Pedicularis spread or elimination, and the methods proposed in this study could be adopted by the government as a low-cost strategy to identify priority areas in which to concentrate efforts to control and continue monitoring Pedicularis invasion.

show abstract

Section: Study Areamentioning

confidence: 99%

Spatiotemporal Pattern of Invasive Pedicularis in the Bayinbuluke Land, China, during 2019–2021: An Analysis Based on PlanetScope and Sentinel-2 Data

Wang,

Tang,

Zhang

et al. 2023

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…This study constructed the resistance factor system of a "nature-society-landscape" [64]. The different resistance factors were divided into five levels; levels 1-5 represented low, moderate-low, medium, moderate-high and high resistance, respectively (Table 2).…”

Section: Construction Of Ecological Security Patternmentioning

confidence: 99%

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

View full text Add to dashboard Cite

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.

show abstract

“…It is difficult to distinguish the mutual influence of risk among different factors [8,9]. The landscape index method focuses on the ecological risk effect of the degree of deviation of the landscape mosaic relative to the optimal pattern [10][11][12]. The current study uses the landscape index method as the primary evaluation method for LER.…”

Section: Introductionmentioning

confidence: 99%

“…The current study uses the landscape index method as the primary evaluation method for LER. The scales of LER evaluation mainly include basins [13,14], landscape types [15,16], administrative regions [17], world-important heritage sites [10], and roads [18,19]. Different research scales reflect different perspectives on LER evaluation.…”

Section: Introductionmentioning

confidence: 99%

Study on Spatial and Temporal Changes in Landscape Ecological Risks and Indicator Weights: A Case Study of the Bailong River Basin

Li,

Ma,

Zhao

et al. 2024

Sustainability

View full text Add to dashboard Cite

The land use and ecological environment of the Bailong River Basin (BRB) have undergone significant changes in the context of developing urban–rural integration and ecological conservation in western China. As a key ecologically fragile area in the west region, a landscape ecological risk (LER) assessment can reflect the extent to which human activities and environmental changes threaten the ecosystems in the BRB. This study aims to explore the empowerment of indicator weights in an LER assessment. Landscape index weights and LER were analyzed based on land use data for three periods using objective and combined empowerment methods. It was found that the weighting results had apparent scale dependence, and the entropy weight method had the best results in indicator empowerment. From 2000–2020, the LER presented reduced risk, increased heterogeneity, and reduced aggregation. The shift from a medium-risk area to a lower-risk area was the primary transfer type of LER in the study area, and the LER showed a decreasing development trend. So far, research on weight empowerment in LER evaluations has been urgent. This study improved the landscape ecological risk assessment system by selecting an empowerment method that optimally takes into account scale dependence while providing valuable insights into the sustainability of the landscape in this watershed.

show abstract

Landscape Ecological Risk and Ecological Security Pattern Construction in World Natural Heritage Sites: A Case Study of Bayinbuluke, Xinjiang, China

Cited by 13 publications

References 58 publications

Spatiotemporal Pattern of Invasive Pedicularis in the Bayinbuluke Land, China, during 2019–2021: An Analysis Based on PlanetScope and Sentinel-2 Data

Spatiotemporal Pattern of Invasive Pedicularis in the Bayinbuluke Land, China, during 2019–2021: An Analysis Based on PlanetScope and Sentinel-2 Data

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

Study on Spatial and Temporal Changes in Landscape Ecological Risks and Indicator Weights: A Case Study of the Bailong River Basin

Contact Info

Product

Resources

About