典型喀斯特流域景观生态风险驱动因素及预测——以打邦河流域为例
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贵州师范大学 喀斯特研究院

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中图分类号:

X826

基金项目:

国家自然科学基金:岩溶洞穴系统外源酸对碳汇效应影响机制研究;贵州省科技计划项目:喀斯特地区土壤DOM对环境变化的响应机制研究;贵州省科技计划项目:双河洞白云岩喀斯特生态系统贵州省野外科学观测研究站


Driving Factors and Prediction of Landscape Ecological Risk in Typical Karst Basin: A Case Study of Dabang River Basin
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Affiliation:

School of Karst Science, Guizhou Normal University

Fund Project:

National Natural Science Foundation of China: Research on the influence mechanism of exogenous acids on carbon sink effect in karst cave system; Guizhou Provincial Science and Technology Program: Research on the response mechanism of soil DOM to environmental change in karst area; Guizhou Provincial Science and Technology Program: Shuanghedong Dolomite Karst Ecosystem Guizhou Provincial Field Scientific Observation and Research Station

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    摘要:

    摘要:[目的]探测打邦河流域景观生态风险分布,深入分析典型喀斯特流域景观生态风险驱动因素并进行多情景预测,为提升当地生态系统稳定性、保护喀斯特生态环境作贡献。[方法]利用景观指数法构建生态风险评估模型,综合空间自相关分析、最优参数地理探测、多情景模拟等手段,对打邦河流域2013-2023年间的生态风险进行深入研究。[结果]1)流域土地利用面积转移最大为耕地和林地,转移最剧烈的时间段为2018-2023年。2)流域景观生态风险逐渐好转,中高风险、高风险区主要在西秀区西部、六枝特区和关岭县西南部、镇宁县中部等草地、水域和建设用地分布处。流域生态风险的空间集聚性先增强后减弱。3)景观生态风险单因子探测表明,NDVI(0.37)、夜间灯光(0.16)、植被覆盖(0.11)是解释力最强的三个因子,双因子探测受NDVI∩土壤类型、到铁路距离∩NDVI、人口分布∩NDVI交互作用的影响,表明自然因素与社会因素的复合作用是流域景观生态风险变化的关键。4)多情景预测中,ED情景下景观生态风险相对较高,EP情景景观生态风险总体较低,且兼顾流域可持续发展和生态保护,是流域未来发展的良好道路。[结论]打邦河流域景观生态风险主要是自然因素、社会因素交互影响的结果,生态保护情景(EP)下景观生态风险相对较低,是实现可持续发展、建设美丽中国的必然道路。

    Abstract:

    Abstract: [Objective] To detect the distribution of landscape ecological risks in the Dabang River Basin, conduct an in-depth analysis the driving factors of landscape ecological risk in typical karst river basins and conduct multi-scenario predictions, so as to contribute to enhancing the stability of the local ecosystem and protecting the karst ecological environment. [Method] An ecological risk assessment model was constructed using the landscape index method. By integrating means such as spatial autocorrelation analysis, optimal Parameter Geodetector, and multi-scenario simulation, an in-depth study on the ecological risk in the Dabang River Basin from 2013 to 2023 was conducted. [Result]1) The largest land use area transfer within the basin was between cultivated land and forest land, and the most intense period of transfer was from 2018 to 2023. 2) The ecological risk in the basin has gradually improved. The medium-high risk and high-risk areas are mainly located in the western part of Xixiu District, Liuzhi Special District, the southwestern part of Guanling County, and the central part of Zhenning County, where grassland, water areas and construction land are distributed. The spatial agglomeration of the basin's ecological risk first increased and then decreased. 3) The single-factor detection of the landscape ecological risk in the basin indicates that NDVI (0.37), night light (0.16), and vegetation coverage (0.11) are the three factors with the strongest explanatory power. The double-factor detection is affected by the interaction of NDVI∩soil type, distance to railway∩NDVI, and population distribution∩NDVI, suggesting that the combined effect of natural and social factors is the key to the changes in the landscape ecological risk of the basin. 4) In multi- scenario predictions, the landscape ecological risk is relatively high under the ED scenario, while the overall landscape ecological risk is relatively low under the EP scenario. Considering both the sustainable development of the river basin and ecological protection, EP scenario is a favorable path for the future development of the river basin. [Conclusion] The landscape ecological risk in the Dabang River Basin is mainly the result of the interaction of natural and social factors. The ecological protection scenario (EP) results in a relatively lower landscape ecological risk, which is the inevitable path for achieving sustainable development and building a beautiful China.

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  • 收稿日期:2025-04-21
  • 最后修改日期:2025-06-15
  • 录用日期:2025-06-17
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