土壤水分是中亚干旱区植被生长的主要驱动力
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1.新疆大学地理与遥感科学学院;2.新疆理工学院;3.聊城大学地理与环境学院;4.鲁东大学资源与环境工程学院

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基金项目:

国家自然科学基金(32260287);新疆维吾尔自治区科技计划项目(2023D01C181);干旱区水资源高效利用创新团队(2022TSYCTD0001)


Soil Moisture as the Main Driver of Vegetation Growth in the Arid Zone of Central Asia (ACA)
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1.新疆大学;2.College of Geography and Remote sensing Sciences, Xinjiang University

Fund Project:

National Natural Science Foundation of China,32260287; Science and Technology Project of Xinjiang Uygur Autonomous Region, 2023D01C181;Innovation Team for Efficient Water Use in Arid Region ,2022TSYCTD0001

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    摘要:

    中亚干旱区(Arid Zone of Central Asia,ACA)作为全球典型的生态脆弱区,其植被对气候变化和人为活动极为敏感。因此,挖掘气候、土壤、地形和人为活动等因素对植被的独立影响和耦合作用,确定植被生长的关键因子对区域生态保护与恢复至关重要。以遥感数据为基础,利用Theil-Sen Median和Mann-Kendall趋势分析及检验方法,结合变异系数,评估了2001—2020年植被的时空动态,通过地理探测器与偏相关分析方法,定量分析的植被空间分异与时间变化的主要因素,评估植被适宜生境以促进植被恢复。结果表明:(1)近20年,中亚干旱区NDVI总体呈微弱上升趋势(0.00005/10a),有57.3%区域植被状况得到改善。整体上2008年植被NDVI值最低,而2016年达到最高,表现出下降—上升—下降的周期性波动。中亚北部草原(Northern Steppes of Central Asia, NSCA)区域植被年际波动明显,ACA中西部稳定性较差,其他区域相对稳定。(2)在植被的空间分异上,降水、土壤水分、土壤类型与植被类型对其具有显著的解释力。各驱动因素间交互作用均为双因子增强或非线性增强,整体上土地利用类型转移与坡向的交互作用最强,区域来看NSCA降水与土壤类型交互显著,其他区域植被类型与环境因子的交互作用显著。(3)植被与土壤水分和气候因子之间更多为正相关的促进作用,且植被对土壤水分的敏感性要高于降水和气温,土壤水分主导了43.8%区域的植被变化,是各生态分区中促进植被生长的主导因子。此外,温度主导影响的面积为 17.5%,超过降水(15.9%)和 SPEI(11.8%)。同时,人口密度与植被之间主要为弱负相关,但并不显著,表明人为活动对植被的负面影响有限。在植被恢复策略中,草地、农田和混交林是适宜的植被类型,有助于实现生态稳定和土地的可持续利用。本研究提供了植被恢复和管理的科学依据,指导在自然因素和人为活动影响下选择适宜的植被类型。

    Abstract:

    Recognized globally as an ecologically fragile area, the Arid Zone of Central Asia (ACA) exhibits vegetation that is highly responsive to climate change and human activities. Elucidating the individual and combined impacts of climate, soil, topography, and human activities on vegetation, as well as pinpointing key growth factors, is essential for regional ecological conservation and rehabilitation. This study, based on the remote sensing data, Theil-Sen median and Mann-Kendall trend analysis and test methods were used to evaluate the spatio-temporal dynamics of vegetation from 2001 to 2020, combined with the coefficient of variation, and quantified the main factors of spatial and temporal variation of vegetation using Geographical Detector and partial correlation analysis to assess suitable habitats for vegetation. The study's findings are as follows: (1) Across the two decades, the NDVI in the ACA exhibited a modest upward trend (0.00005/10a), with 57.3% of areas witnessing enhanced vegetation conditions. Overall, NDVI values for vegetation were lowest in 2008 and highest in 2016. Over the past two decades, changes in vegetation have shown a periodic fluctuation pattern characterized by a cycle of decline, increase and subsequent decline. The Northern Steppes of Central Asia (NSCA) have shown significant inter-annual variations in vegetation, with less stability in the west-central part of the ACA and relative stability in other regions. (2) Regarding the spatial variation in vegetation, natural factors have a greater impact on vegetation than human factors, precipitation, Volumetric Water Content (VWC), soil classification, and vegetation categorization possess substantial explanatory power. The interactions among these factors are either synergistically enhancing or nonlinearly reinforcing, with the most pronounced interaction occurring between land use change and slope aspect. (3) Vegetation exhibits a predominantly positive correlation with VWC and climatic factors, and vegetation is more sensitive to VWC than to precipitation and air temperature. VWC is identified as the primary driver of vegetation change across 43.8% of the region, serving as the dominant factor in promoting vegetation growth across various ecological zones. In addition, the area influenced by the dominance of temperature is 17.5%, exceeding that of precipitation (15.9%) and SPEI (11.8%). Furthermore, the modest negative correlation between population density and vegetation is not substantial, indicating that the detrimental impact of human activities on vegetation is constrained. In vegetation restoration strategies, grasslands, croplands, and mixed forests are identified as suitable vegetation types that can contribute to ecological stability and sustainable land use. This study provides a scientific basis for vegetation restoration and management, guiding the selection of appropriate vegetation types under the influence of natural factors and human activities.

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王瑞兵,邹杰,丁建丽,邹文松,杨 淼,秦梦雨,王祁遇,黄帅,李俊岐.土壤水分是中亚干旱区植被生长的主要驱动力.生态学报,,(). http://dx. doi. org/[doi]

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