基于改进型遥感生态指数的京津冀地区生态系统服务价值时空演变及其驱动因素研究
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1.湖南工商大学;2.湖南工商大学资源环境学院;3.南昌大学经济管理学院

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国家社会科学基金一般项目(24BTJ032)


Analysis of the spatial and temporal evolution and drivers of ecosystem service values in Beijing-Tianjin-Hebei region based on modified remote sensing ecological index
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1.Hunan University of Technology and Business;2.School of Economics &3.Management, Nanchang University

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    摘要:

    生态系统服务价值(ESV)的时空变化及其驱动因素的确定是生态系统服务管理和决策的基础。基于2013、2015、2017、2019、2021以及2023年6期土地利用/土地覆盖遥感监测数据,对京津冀地区的遥感生态指数和ESV进行计算,并分析其时空演变、损益情况及驱动因素。研究发现:研究期内京津冀地区存在大量耕地向其他土地利用类型转化,其中耕地转不透水面和草原的面积最多;ESV总体变化呈现出先降低后上升的趋势,ESV的空间分布呈现出山地高于平原地区,沿海地区高于内陆地区;2013-2023年京津冀地区ESV变化指数总体表现出先减少后增加的态势,尤其是在2017-2023年阶段研究区域内部获得增益最多;ESV的损益情况分析表明,京津冀地区的ESV变化呈现出先损失后增益再平稳的态势。相比自然因素,社会经济因素对ESV的影响更强,尤其是人均GDP和地形起伏度在其中发挥了关键驱动作用,而HAI值大体呈现上升态势,北京市、天津市等经济活力较强的地区人类活动强度较高,并且在2023年分别达到峰值0.7466和0.6801;交互探测结果表明,各因子对研究区生态系统服务价值作用呈现双因子增强和非线性增强,表明京津冀地区ESV不仅受各驱动因子单独作用,同时也会受到驱动因子叠加影响。研究结果为京津冀地区的生态环境与区域经济协调发展提高了参考依据。

    Abstract:

    The spatio-temporal changes of ecosystem service value (ESV) and the determination of its driving factors are the basis of ecosystem service management and decision-making. Based on the remote sensing monitoring data of land use/land cover in six periods of 2013, 2015, 2017, 2019, 2021 and 2023, the remote sensing ecological index and ESV of the Beijing-Tianjin-Hebei region were calculated, and their spatio-temporal evolution, profit and loss situations and driving factors were analyzed. The research finds that during the research period, a large amount of cultivated land in the Beijing-Tianjin-Hebei region was transformed into other land use types, among which the area of cultivated land that could not penetrate water surfaces and grasslands was the largest. The overall change of ESV shows a trend of first decreasing and then increasing. The spatial distribution of ESV shows that it is higher in mountainous areas than in plain areas, and higher in coastal areas than in inland areas. From 2013 to 2023, the ESV change index in the Beijing-Tianjin-Hebei region generally showed a trend of first decreasing and then increasing. Especially during the period from 2017 to 2023, the most gain was obtained within the study area. The analysis of the profit and loss situation of ESV indicates that the changes in ESV in the Beijing-Tianjin-Hebei region present a trend of first loss, then gain, and then stabilization. Compared with natural factors, socio-economic factors have a stronger impact on ESV, especially per capita GDP and night light intensity play a key driving role in it. Meanwhile, the HAI value generally shows an upward trend. In regions with strong economic vitality such as Beijing and Tianjin, the intensity of human activities is relatively high, and they reached peaks of 0.7466 and 0.6801 respectively in 2023. The results of the interactive detection show that the effects of each factor on the ecosystem service value of the study area present two-factor enhancement and nonlinear enhancement, indicating that the ESV in the Beijing-Tianjin-Hebei region is not only affected by each driving factor alone, but also by the superposition of driving factors. The research results have provided a reference basis for the coordinated development of the ecological environment and regional economy in the Beijing-Tianjin-Hebei region.

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刘亦文,熊万灵,邓楠.基于改进型遥感生态指数的京津冀地区生态系统服务价值时空演变及其驱动因素研究.生态学报,,(). http://dx. doi. org/[doi]

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