长江三角洲地区生态系统气候调节服务价值空间变化影响机制分析

    Impact Analysis of the Spatial Change of Ecosystem Climate Regulation Services in the Yangtze River Delta

    • 摘要: 气候调节服务是生态系统服务的重要组成部分,分析其空间变化驱动机制,对提升区域适应气候变化能力具有重要意义。本文通过耦合随机森林模型和析因分析技术,构建气候调节服务价值的影响机制分析方法,探究长江三角洲地区气候调节服务价值空间变化对人类活动(人口、GDP和夜间灯光指数)、气象(降水、蒸散发和风速)和自然地理(高程、坡度和归一化植被指数)3类9个因子的单一和交互响应机制,并模拟不同风险情景下长江三角洲地区不同空间的响应状态。结果表明:(1)人类活动、气象和自然地理对区域气候调节服务价值空间变化的单因素解释率分别为11.98%、6.68%和77.38%。(2)人类活动因子和风速对气候调节服务价值具有负效应,自然地理因子具有正效应,降水和蒸散发对气候调节服务价值存在阈值,降水量小于1 550.1 mm,蒸散发小于953.4 mm时,两者对气候调节服务价值具有正效应,大于阈值时则具有负效应。(3)因子间交互作用对气候调节服务价值空间变化贡献率为3.33%,排名前3的交互项为降水×蒸散发、降水×坡度和高程×坡度。(4)皖南、浙江等地地形复杂且重要生态功能区、自然保护地和生态保护红线集中,气候调节服务价值本底高,容易受风险干扰,建议合理限制人类活动干扰,加强生态系统保护。

       

      Abstract: Climate regulation service is an important component of ecosystem services, and analyzing the driving mechanism of spatial variation of climate regulation services is significant for enhancing regional climate adaptation capabilities. This study constructs a random forest-factorial analysis method to investigate the individual and interactive effects of various factors on the spatial variation of climate regulation service value in the Yangtze River Delta (YRD) region. The factors selected include human activity factors (population, GDP, nighttime light index), meteorological factors (precipitation, evapotranspiration, wind speed), and natural geography factors (elevation, slope, normalized difference vegetation index). Additionally, the spatial response of the YRD region to different risk scenarios is explored. The findings are as follows: (1) Human activity factors, meteorological factors, and natural geography factors explain 11.98%, 6.68%, and 77.38% of the spatial variation in regional climate regulation service value, respectively. (2) Human activity factors and wind speed have negative impacts on climate regulation services, while natural geography factors have positive effects. Precipitation and evapotranspiration exhibit threshold effects, with positively impacting climate regulation service value when the precipitation to be below 1 550.1 mm and evapotranspiration to be below 953.4 mm, and negatively impacting it when these thresholds are exceeded. (3) Interaction effects between factors contribute 3.33% to spatial variation, with the top three contributing interaction terms being between precipitation and evapotranspiration, precipitation and slope, and elevation and slope. (4) Southern Anhui and Zhejiang exhibit high climate regulation service value with complex terrain; these areas are dominated by important ecological function zones, natural protection areas, and ecological protection redlines, making them more susceptible to risk disturbances. It is recommended to strengthen ecosystem protection and rationally limit human activities to maintain climate regulation service function in these areas.

       

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