Soil moisture-vegetation interaction from near-global in-situ soil moisture measurements

Soil moisture-vegetation interaction from near-global in-situ soil moisture measurements
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DOI:
10.1088/1748-9326/ac9c1f
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发表时间:
2022-10
影响因子:
6.7
通讯作者:
Shuping Li;Y. Sawada
Shuping Li;Y. Sawada
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Shuping Li;Y. Sawada

文献摘要

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虽然土壤水分与植被动态之间的相互作用已被广泛研究,大多数以前的研究结果来自卫星观测和/或模式模拟的土壤水分数据,其中不可避免地包括多个误差源。随着许多野外工作者和研究人员在现场SM测量和SM数据集成方面的努力,现在可以在全球范围内获得集成的现场SM数据集。本文利用国际土壤水分网络的实测SM数据,分析了SM与叶面积指数(LAI)的异常相关性。我们发现,SM(LAI)和时间滞后的LAI(SM)之间存在正(负)相关。峰值相关性和达到峰值的滞后时间(通常不到3个月)取决于气候、土地覆盖和生根深度。高SM-LAI异常相关普遍存在于水分有限的地区,如旱地,植物生理对地下水胁迫有很强的敏感性。最大生根深度较深的植被动态并不总是与SM在较深的土壤层,和最大生根深度较浅的植被动态可能与SM在较深的土壤层。总体而言,我们强调的潜力,全球原位SM观测网络分析SM和植被动态之间的相互作用。
Although the interactions between soil moisture (SM) and vegetation dynamics have been extensively investigated, most of previous findings are derived from satellite-observed and/or model-simulated SM data, which inevitably include multiple sources of error. With the effort of many field workers and researchers in in-situ SM measurement and SM data integration, it is now possible to obtain the integrated in-situ SM dataset in the global range. Here we used the in-situ SM dataset of the International Soil Moisture Network to analyze the anomaly correlation between SM and leaf area index (LAI). We found that positive (negative) correlations exist between SM (LAI) and temporally lagged LAI (SM). The peak correlation and lagging time to reach it (often less than 3 months) depends on climate, land cover and rooting depths. The high SM-LAI anomaly correlation prevails in water-limited regions, e.g. dryland, where plant physiology has strong sensitivity to subsurface water stress. Dynamics of vegetation with deeper maximum rooting depths are not always correlated with SM in deeper soil layers, and vegetation dynamics with shallower maximum rooting depth may strongly correlate with SM in deeper soil layers. Overall, we highlight the potential of the global in-situ SM observation network to analyze the interactions between SM and vegetation dynamics.