College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China; Inner Mongolia Key Laboratory of Remote Sensing and Geographic Information Systems, Inner Mongolia Normal University, Hohhot 010022, China.
College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China; Inner Mongolia Key Laboratory of Remote Sensing and Geographic Information Systems, Inner Mongolia Normal University, Hohhot 010022, China.
Sci Total Environ. 2022 Feb 25;809:152198. doi: 10.1016/j.scitotenv.2021.152198. Epub 2021 Dec 7.
Soil moisture (SM) is a key parameter regulating the hydrothermal balance of global terrestrial ecosystems and plays an important role in local ecological environment, particularly in arid and semiarid areas. However, current studies have so far obtained insufficient knowledge of SM spatiotemporal variability and its primary control factors, which limits our understanding of the feedback effects of SM on surface vegetation and hydrothermal activity. Here, we chose the ecologically fragile Mongolian Plateau (MP) as the study area to quantitatively reveal the soil moisture spatiotemporal variability (SMSTV) and the influence of control factors (climate, vegetation, soil and groundwater) with the help of empirical orthogonal functions (EOFs) and geographical detector models. The results indicated that a significant trend of decreasing SM and one dominant spatial structure (EOF1) of SM was found in the MP from 1982 to 2019, which explained over 54% of the spatial variability in SM, and as the soil depth increased, the EOF1 interpretation capacity increased. In addition, EOF1 is high in the north and east and low in the south and west of the MP and that vegetation cover is also relatively greater in the high-value areas. Overall, groundwater has the greatest influence on SMSTV in the MP (q = 0.89); however, precipitation and potential evapotranspiration remain the main control factors for SMSTV for different ecological zones, while the influence of vegetation elements (NDVI and GPP) cannot be ignored, and soil textures (clay, sand, silt) have the least influence. Meanwhile, SMSTV is explained to a greater extent by the interaction of the factors rather than by a single factor. However, there are differences in the influence mechanisms of each factor on SMSTV. This study provides strong evidence that meteorological forcing is not the only factor that dominates SMSTV and that the dominant factors may vary considerably between ecological zones.
土壤湿度(SM)是调节全球陆地生态系统水热平衡的关键参数,对局部生态环境,特别是干旱半干旱地区,起着重要作用。然而,目前的研究对 SM 的时空变异性及其主要控制因素的认识还远远不够,这限制了我们对 SM 对地表植被和水热活动反馈效应的理解。在这里,我们选择生态脆弱的蒙古高原(MP)作为研究区域,借助经验正交函数(EOF)和地理探测器模型,定量揭示土壤湿度时空变异性(SMSTV)及其控制因素(气候、植被、土壤和地下水)的影响。结果表明,1982-2019 年 MP 地区 SM 呈显著减少趋势,且存在一个占主导地位的空间结构(EOF1),解释了 SM 空间变异性的 54%以上,随着土壤深度的增加,EOF1 的解释能力增加。此外,EOF1 在 MP 的北部和东部较高,南部和西部较低,植被覆盖度也较高。总体而言,地下水对 MP 土壤湿度时空变异性的影响最大(q=0.89);然而,降水和潜在蒸散量仍然是不同生态区土壤湿度时空变异性的主要控制因素,而植被要素(NDVI 和 GPP)的影响不容忽视,土壤质地(粘土、沙子、淤泥)的影响最小。同时,SMSTV 更多地由各因素的相互作用解释,而不是由单一因素解释。然而,各因素对 SMSTV 的影响机制存在差异。本研究有力地证明了气象强迫并不是主导 SMSTV 的唯一因素,主导因素在不同生态区可能有很大差异。