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Landscape ecological risk assessment of Yulin Region in Shaanxi Province of China

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Abstract

Landscape ecological risk assessment is a basic content of studying the relationship between landscape and ecosystem. It can reveal the spatial–temporal heterogeneity and scale effects of ecological risks, and provide the comprehensive spatial characterization and visualization of multisource risks. Yulin is a typical agropastoral zone in the north of China. Land use and land cover (LULC) changes are frequent and intense, and the landscape ecological environment is very fragile. This study analyzed the change characteristics of land use and land cover of Yulin by ArcGIS, assessed the landscape ecological risks using 4 landscape metrics, and discussed the spatial–temporal trends and the influencing factors for the landscape ecological risk. The results show that the absolutely dominant land use and land cover types in Yulin are grassland and cultivated land. The changes mainly happened in grassland, artificial surface, cultivated land, and bare land, with the variation of − 2.83%, 1.85%, 1.35%, and − 0.23%, respectively. High landscape ecological risks are mainly distributed in Yuyang and part of Jingbian. Most part of Yulin region belongs to the risk grade of Low/Medium and Medium. No statistically significant temporal trends of landscape ecological risk is observed. Variation of grassland, cultivated land, and bare land has more impacts on the landscape fragmentation than other land use and land cover. Risk grades of High and Medium/High mainly cover the lower normalized difference vegetation index (NDVI) region (0.1–0.4) at the edge of the Mu Us desert. The relationship between the landscape ecological risk and the NDVI reveals that the extent, continuity, pattern, and the type of vegetation cover are influencing factors for the landscape ecological risk from the view of the local habitats. The study results may be helpful for the vegetation restoration, land use planning, and sustainable development of the Yulin and other similar regions.

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Acknowledgements

The editors and reviewers are sincerely acknowledged for their instructive and detailed comments on the early versions of this article.

Funding

The following funding sources supported this research: the Key Laboratory of Degraded and Unused Land Consolidation Engineering of the Ministry of Natural Resources (SXDJ2019–13), the Fundamental Research Funds for the Central Universities (CHD300102291507), the National Natural Science Foundation of China (41971033), the Natural Science Basic Research in Shaanxi Province of China (Program No. 2019JM–512), the Programme of Introducing Talents of Discipline to Universities (B08039), Fund Project of Shaanxi Key Laboratory of Land Consolidation (2019–JC01).

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Authors and Affiliations

  1. Key Laboratory of Degraded and Unused Land Consolidation Engineering, Ministry of Natural Resources, Chang’an University, No. 7 Guangtai Road, Xi’an, 710075, Shaanxi, China

    Bin Xu

  2. School of Water and Environment, Chang’an University, No. 126 Yanta Road, Xi’an, 710054, Shaanxi, China

    Bin Xu, Kai Ji, Bin Qi & Yan Liu

  3. School of Land Engineering, Chang’an University, No. 126 Yanta Road, Xi’an, 710054, Shaanxi, China

    Bin Xu, Yucong Tao, Xiaohui Qi & Yan Zhang

  4. Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Ministry of Education, Chang’an University, No. 126 Yanta Road, Xi’an, 710054, Shaanxi, China

    Bin Xu, Kai Ji, Bin Qi & Yan Liu

  5. Shaanxi Key Laboratory of Land Consolidation, No. 126 Yanta Road, Xi’an, 710054, Shaanxi, China

    Bin Xu, Yucong Tao, Xiaohui Qi & Yan Zhang

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  1. Bin Xu
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Contributions

The study conception was designed by BX and YZ. All authors contributed to the data collection and processing. The calculation and analysis were performed by BX and YZ. The first draft of the manuscript was written by BX. Previous versions of the manuscript were discussed by all authors.

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Correspondence to Bin Xu or Yan Zhang.

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Xu, B., Ji, K., Qi, B. et al. Landscape ecological risk assessment of Yulin Region in Shaanxi Province of China. Environ Earth Sci 81, 510 (2022). https://doi.org/10.1007/s12665-022-10636-x

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