Research progress on soil moisture temporal stability

Pengfei, 蔺鹏飞 Lin; Xi, 朱喜 Zhu; Zhibin, 何志斌 He; Jun, 杜军 Du; Longfei, 陈龙飞 Chen

doi:10.5846/stxb201704070598

Cited by 5 publications

(4 citation statements)

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“…Soil moisture, an important link between precipitation, surface water, groundwater and plant water in an ecosystem, is a key eco-hydrological variable in the soil-plantatmosphere continuum (SPAC), and plays an important role in material transport and energy transfer [1][2][3]. Due to the influence of climate, topography, vegetation type, soil properties, soil depth and other factors, SMC exhibits temporal and spatial variability [4]. There are many methods for the determination of SMC.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Change Characteristics of Soil Moisture and Its Relationship with Precipitation in Hani Rice Terraces Water Source Area

Song

et al. 2022

Water

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Precipitation in the Hani Rice Terraces water source area is redistributed through the soil, providing a continuous water flow to the terraces downstream and keeping a healthy regional ecosystem. The dynamic characteristics of soil moisture and its relationship with precipitation need to be further investigated. In this study, we examined the dynamics of soil moisture content (SMC) in different site types (based on vegetation), at varying depths, and at varying time scales from 2012 to 2016, using time-series data. Fitting and fuzzy query methods were used to determine the greatest positive correlation between daily/accumulated precipitation and SMC. The results showed that: (1) the dynamic characteristics of soil moisture at depths between 0–100 cm substantially varied between three site types; (2) the relationship graphs of Pearson’s coefficient r between SMC and prior 0–360 day’s daily precipitation were sine curves in three site types; the daily precipitation in the half a year before the test day has a positive effect on SMC at 0–100 cm depth, and the 2–3 month’s daily precipitation has the greatest effect from the test day’s SMC; (3) the influence of daily precipitation on SMC is limited, while cumulative precipitation is the main factor affecting SMC; and (4) there is a linear relationship between accumulated precipitation and SMC. A linear equation was constructed using the strongest correlation and was used to predict SMC. These models are useful to assess the sustainability of the water supply to the terraces downstream, and also to provide a basic understanding of the effect of different sites (by vegetation type) on soil moisture. This study is of great significance for the protection and sustainable utilization of Hani Rice Terraces.

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Section: Introductionmentioning

confidence: 99%

Dynamic Change Characteristics of Soil Moisture and Its Relationship with Precipitation in Hani Rice Terraces Water Source Area

Song

et al. 2022

Water

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“…Therefore, the middle and lower reaches exhibit higher te stability in SM than in the upper reaches (as shown in Figure 5). In summary, th area shows significant spatial variability in SM, but the overall monthly scale te stability is favorable, and the types of driving factors of SM remain relatively stable the different months [74].…”

Section: Spatiotemporal Heterogeneity and Stability Of Soil Moisture ...mentioning

confidence: 90%

Spatiotemporal Analysis of Soil Moisture Variability and Its Driving Factor

Yin,

Song,

Zhu

et al. 2023

Remote Sensing

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Soil moisture (SM), as a crucial input variable of land surface processes, plays a pivotal role in the global hydrological cycle. The aim of this paper is to examine the spatiotemporal variability in SM in the Heihe River Basin using all-weather land surface temperature (LST) and reanalysis land surface data. Initially, we downscaled and generated daily 1 km all-weather SM data (2020) for the Heihe River Basin. Subsequently, we investigated the spatial and temporal patterns of SM using geostatistical and time stability methods. The driving forces of the monthly SM were studied using the optimal parameter-based geographical detector (OPGD) model. The results indicate that the monthly mean values of the downscaled SM data range from 0.115 to 0.146, with a consistently lower SM content and suitable temporal stability throughout the year. Geostatistical analysis revealed that months with a higher SM level exhibit larger random errors and higher variability. Driving analysis based on the factor detector demonstrated that in months with a lower SM level, the q values of each driving factor are relatively small, and the primary driving factors are land cover and elevation. Conversely, in months with a higher SM level, the q values for each driving factor are larger, and the primary driving factors are the normalized difference vegetation index and LST. Furthermore, interaction detector analysis suggested that the spatiotemporal variation in SM is not influenced by a single driving factor but is the result of the interaction among multiple driving factors, with most interactions enhancing the combined effect of two factors.

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“…As the lag time increases, the effects of PRE and TMP on the NDVI of MDBF gradually decrease, while RAD shows a trend of first increasing and then decreasing (Figure 7). This may be the vegetation at the upper limit of MDBF requires a certain amount of time to utilize soil moisture and adapt to new temperature conditions [63,64], and appropriate hydrothermal conditions are conducive to the positive impact of radiation on the growth of vegetation at the upper limit of MDBF. As the cumulative duration increases, the correlation between PRE and TMP with NDVI does not show significant changes, while RAD gradually increases (Figure 8).…”

Section: Time-lag and -Accumulation Effects Of Climatic Factors At Th...mentioning

confidence: 99%

Analysis of Spatial Differentiation of NDVI and Climate Factors on the Upper Limit of Montane Deciduous Broad-Leaved Forests in the East Monsoon Region of China

Wang,

Han,

et al. 2024

Forests

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The vertical transition zone of mountain vegetation is characterized by high species diversity, and the width of the transition zone may serve as an indirect indicator of climate change. However, research into the differential characteristics of vegetation response to climate changes at the boundary of vertical transition zones has been limited. This study employs MODIS and climate data spanning 2001 to 2018 to investigate spatiotemporal trends in precipitation (PRE), temperature (TMP), radiation (RAD), and Normalized Difference Vegetation Index (NDVI) across nine montane deciduous broad-leaved forests in the eastern monsoon region of China. It explores the time-lag and -accumulation effects of climatic variables on NDVI, quantifying their relative contributions to both its short-term and interannual variations. Results show that, notably, with the Qinling-Daba Mountains as a demarcation, northern regions exhibit significant increases in RAD (0.874–2.047 W m−2/a), whereas southern regions demonstrate notable rises in TMP (0.59–0.73 °C/10a). Areas of lower annual PRE correspond to the most rapid increases in annual average NDVI (5.045 × 10−3/a). NDVI’s lag time and cumulative duration responses to TMP are the shortest (0 and 2~4 periods), while its correlation with RAD is the strongest (0.815–0.975), generally decreasing from higher to lower latitudes. TMP significantly affects NDVI variations, impacting both short-term and interannual trends, with PRE driving short-term fluctuations and RAD dictating long-term shifts. This research provides critical data and a theoretical framework that enhances our understanding of how regional vegetation’s vertical zonation responds to climate change, thereby making a substantial contribution to the study of mountain vegetation’s diverse adaptability to climatic variations.

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Research progress on soil moisture temporal stability

Cited by 5 publications

References 0 publications

Dynamic Change Characteristics of Soil Moisture and Its Relationship with Precipitation in Hani Rice Terraces Water Source Area

Dynamic Change Characteristics of Soil Moisture and Its Relationship with Precipitation in Hani Rice Terraces Water Source Area

Spatiotemporal Analysis of Soil Moisture Variability and Its Driving Factor

Analysis of Spatial Differentiation of NDVI and Climate Factors on the Upper Limit of Montane Deciduous Broad-Leaved Forests in the East Monsoon Region of China

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