陕西省植被水分利用效率的时空变化特征及影响因素
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路浩(2001-),男,硕士研究生,主要从事区域生态水文研究。E-mail:lh2020@nwafu.edu.cn

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X24.1

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西北农林科技大学“大学生创新创业训练计划”项目(S202410712356);陕西省自然科学基础研究计划项目(2025JC-YBMS-221);国家自然科学基金项目(41977425)


Spatiotemporal Variations and Influencing Factors of Vegetation Water Use Efficiency in Shaanxi Province
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    摘要:

    [目的]为明确陕西省植被水分利用效率(water use efficiency,WUE)的时空变化特征及影响因素的单独影响机制。[方法]基于MODIS数据产品和国家地球系统科学数据中心提供的数据,分析陕西省不同植被类型2001—2022年WUE的时空变化特征,并结合空气温度(T)、降水(P)、归一化植被指数(NDVI)、潜在蒸散发(ET0)及饱和蒸汽压差(VPD)等因素明确WUE对环境和生物因子的响应机制。[结果]陕西省植被WUE多年平均值为(2.1±0.4) g/(mm·m2)(以C计),在空间上表现为南高北低的变化特征,年际间表现为不显著上升趋势(p=0.46),且在年内表现出单峰型变化特征。不同的植被类型WUE差异显著(p<0.05),WUE多年平均值由大到小排序为森林>湿地>农田>灌木>草地。森林WUE在2001—2022年呈显著上升趋势(p<0.05),而农田与湿地WUE呈显著下降趋势(p<0.05)。通过分析陕西省植被WUE与环境和生物因素的偏相关系数,主导陕西省植被生态系统WUE影响因素面积占比由大到小依次为T(33.24%)>NDVI(30.80%)>VPD(27.70%)>ET0(6.07)>P(2.08%)。[结论]陕西省植被WUE表现为不显著年际间上升趋势,中北部和南部地区植被WUE的变化主要受环境因素和NDVI影响。研究结果可为陕西省生态建设过程中水资源高效利用评估和管理提供参考。

    Abstract:

    [Objective] This study aimed to clarify the spatiotemporal variation characteristics of vegetation water use efficiency(WUE) in Shaanxi Province and the individual impact mechanisms of the influencing factors.[Methods] Based on MODIS data products and data provided by the National Earth System Science Data Center, we analyzed the spatiotemporal variations of WUE across different vegetation types from 2001 to 2022 in Shaanxi Province. We also examined the response mechanisms of WUE to environmental and biological factors, including air temperature(T), precipitation(P), normalized difference vegetation index(NDVI), potential evaporation(ET0), and vapor pressure deficit(VPD). [Results] The multi-year average WUE of vegetation in Shaanxi Province was(2.1±0.4) g/(mm·m2)(calculated in C), exhibiting a spatial pattern of higher values in the south and lower values in the north. The multiyear average WUE showed a non-significant increasing trend(p=0.46) with a single peaked pattern within the year. Significant differences in WUE were observed among different vegetation types(p<0.05), with the multiyear average WUE ranked as forest>wetland>cropland>shrubland>grassland. Forests showed a significant increasing trend in WUE from 2001 to 2022(p<0.05), while cropland and wetland demonstrated significant decreasing trends in WUE(p<0.05). Partial correlation analysis revealed that the relative importance of influencing factors on WUE ranked as T(33.24%)>NDVI(30.80%)>VPD(27.70%)>ET0(6.07%)>P(2.08%). [Conclusion] Vegetation WUE in Shaanxi Province showed a non-significant interannual increasing trend, and changes in vegetation WUE in the north-central and southern regions were mainly influenced by environmental factors and NDVI, respectively. The findings can provide references for the assessment and management of efficient water resource utilization during the ecological construction process in Shaanxi Province.

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路浩, 安志超, 王丽娜, 周莹, 白静, 孙自杰, 王炫迪, 唐亚坤.陕西省植被水分利用效率的时空变化特征及影响因素[J].水土保持学报,2025,39(4):91~99

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  • 收稿日期:2024-10-28
  • 最后修改日期:2025-04-10
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  • 在线发布日期: 2025-09-10
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