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

Li, Shuping; Sawada, Yohei

doi:10.1088/1748-9326/ac9c1f

Cited by 11 publications

(12 citation statements)

References 61 publications

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“…Affected by its topography and complex climate system, the study area has arid and semi-arid climate characteristics throughout the year, with precipitation less than 400 mm. The annual average potential evapotranspiration is high, up to 1216.39 mm, and its fragile ecosystem is extremely sensitive to climate change and human activities (Li and Sawada, 2022). The soil moisture observation stations are sparsely distributed in the arid region of Northwest China and are mainly concentrated near the Tian shan and Qilian Mountains (Figure 1).…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal features of the soil moisture across Northwest China using remote sensing data, reanalysis data, and global hydrological model

Wang

Yin

Mao

et al. 2023

Front. Environ. Sci.

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Soil moisture is an important factor affecting the change of land surface hydrological processes and the distribution of material and energy exchanges between the land and atmosphere and vegetation’s temporal and spatial distributions, especially in arid and semi-arid regions. This paper focuses on soil moisture features across Northwest China, the core region of the Silk Road Economic Belt. Six soil moisture datasets from the period 1981–2020 were employed, which included ERA5 (the European Centre for Medium-Range Weather Forecasts Atmospheric Reanalysis 5), ESA-CCI (European Space Agency Climate Change Initiative), GLDAS (Global Land Data Assimilation System), MERRA-2 (The Modern-Era Retrospective Analysis for Research and Applications, Version 2), RSSSM (A Remote Sensing-based global 10-day resolution Surface Soil Moisture dataset), and SSM-Feng (Regional multimodal fusion of surface soil moisture data in China). The temporal and spatial variation of the linear trend and abrupt change characteristics at seasonal and annual scale were explored. The results are as follows: 1) ESA-CCI, GLDAS, and MERRA-2 showed a slow increase in annual soil moisture tendency at a rate of less than 0.001 m3/m3/year, while ERA5 and SSM-Feng showed a significant decreasing linear trend at a rate of 1.31 × 10−4 m3/m3/year and 1.01 × 10−4 m3/m3/year (p < 0.05), respectively. 2) In autumn and winter, only GLDAS and MERRA-2 showed significant increasing trends. In the growing season (i.e., from April to October), the soil moisture of ESA-CCI, GLDAS, and MERRA-2 significantly increased at the rates of 3.29 × 10−4 m3/m3/year, 3.30 × 10−4 m3/m3/year, and 6.64 × 10−4 m3/m3/year (p < 0.05), respectively. 3) ERA5 and ESA-CCI have frequent abrupt changes in 1984, 1987, and 2006 for ERA5, 2010–2012 and 2019–2020 for ESA-CCI. 4) In terms of spatial variations, most datasets show that soil moisture has increased across most regions. The ERA5, ESA-CCI, GLDAS, MERRA-2, and SSM-Feng datasets show decreased soil moisture in the Tarim Basin. The conclusions of this study deepen the understanding of temporal and spatial variation in soil moisture in arid areas of Northwest China. Through these conclusions, a certain theoretical basis can be provided for the complex water cycle process in the arid region.

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Section: Introductionmentioning

confidence: 99%

Spatiotemporal features of the soil moisture across Northwest China using remote sensing data, reanalysis data, and global hydrological model

Wang

Yin

Mao

et al. 2023

Front. Environ. Sci.

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“…With the successive establishment of plantations, higher surface cover from plants leads to excessive moisture and intense local competition among individuals, which eventually leads to poor shrub growth (Yu et al, 2016;Yu et al, 2020). Based on a sound understanding of the spatiotemporal distribution of soil moisture, it is necessary to select appropriate plant species and allocate their densities rationally to achieve robust long-term effects on blocking alpine desert winds and reducing sand erosion (Yu et al, 2017;Li and Sawada, 2022). The differences in plant morphology and community characteristics of dune plantations reflect the Frontiers in Environmental Science frontiersin.org ecological adaptations of sand-fixing species in alpine deserts (Wu et al, 2019b).…”

Section: Implications For the Ecological Management Of The Alpine Desertmentioning

confidence: 99%

Vegetation–soil dynamics in an alpine desert ecosystem of the Qinghai Lake watershed, northeastern Qinghai–Tibet Plateau

Zhang

Tian²,

Hasi³

et al. 2023

Front. Environ. Sci.

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Different types of dunes cause habitat differences, which can affect vegetation growth. In turn, water utilized by vegetation leads to the differential distribution of soil moisture in different dunes. However, vegetation–soil dynamics in the alpine desert of the Qinghai–Tibet Plateau remain poorly understood. We chose the largest section of desert along the eastern shore of Qinghai Lake as a study area to test the hypotheses that plant community characteristics and soil physicochemical properties show differences in different sand-binding communities, in addition to soil moisture content, based on methods of field investigations and in situ observations. The main results were as follows:1) Plant community species diversity and herb coverage increased with the stabilization status of dunes; meanwhile, coverage increased with the age of the added artificial semi-fixed dunes. 2) Surface deposits were mainly composed of medium sand, leading to low organic matter and nutrient content in the study area; this being different from other deserts in northern China. 3) Soil moisture’s seasonal variation was consistent with rainfall seasonality and lacked significant interannual differences, while its vertical distribution was influenced by precipitation infiltration. 4) Soil crust forms beneath specific species, such as leguminous plants in the study area, which should be effective at preventing wind erosion. Our findings will facilitate a mechanistic understanding of plant–soil–water relationships in alpine deserts and provide timely information for screening introduced species for enhancing sand-fixation effectiveness.

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“…While networks of SM profile measurements exist, they are typically not collocated with energy flux measurements (Bell et al, 2013;Dorigo et al, 2021;Schimel et al, 2015). However, remote sensing retrievals of energy fluxes are potentially at a high enough resolution to approach the representation scale of in-situ SM sensor measurements (Famiglietti et al, 2008;Goward et al, 2001;S. Li & Sawada, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…While networks of SM profile measurements exist, they are typically not collocated with energy flux measurements (Bell et al., 2013; Dorigo et al., 2021; Schimel et al., 2015). However, remote sensing retrievals of energy fluxes are potentially at a high enough resolution to approach the representation scale of in‐situ SM sensor measurements (Famiglietti et al., 2008; Goward et al., 2001; S. Li & Sawada, 2022). For example, ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) retrieves land surface temperature (LST) at a 70 m spatial resolution (Fisher et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

Soil Moisture Profiles of Ecosystem Water Use Revealed With ECOSTRESS

Feldman,

Koster,

Cawse‐Nicholson

et al. 2024

Geophysical Research Letters

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While remote sensing has provided extensive insights into the global terrestrial water, carbon, and energy cycles, space‐based retrievals remain limited in observing the belowground influence of the full soil moisture (SM) profile on ecosystem function. We show that this gap can be addressed when coupling 70 m resolution ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station retrievals of land surface temperature (LST) with in‐situ SM profile measurements. These data sets together reveal that ecosystem water use decreases with depth with 93% of sites showing significant LST coupling with SM shallower than 20 cm while 34% of sites have interactions with SM deeper than 50 cm. Furthermore, the median depth of peak ecosystem water use is estimated to be 10 cm, though forests have more common peak interactions with deeper soil layers (50–100 cm) in 37% of cases. High spatial resolution remote sensing coupled with field‐level data can thus elucidate the role of belowground processes on land surface behavior.

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

Cited by 11 publications

References 61 publications

Spatiotemporal features of the soil moisture across Northwest China using remote sensing data, reanalysis data, and global hydrological model

Spatiotemporal features of the soil moisture across Northwest China using remote sensing data, reanalysis data, and global hydrological model

Vegetation–soil dynamics in an alpine desert ecosystem of the Qinghai Lake watershed, northeastern Qinghai–Tibet Plateau

Soil Moisture Profiles of Ecosystem Water Use Revealed With ECOSTRESS

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