Changes of surface soil relative moisture content in Hengduan Mountains, China, during 1992–2010

Zhu, Guannan; Shi, Peiji; Pu, Tao; He, Yuanqing; Zhang, Tao; Wang, Peizhen; Pan, Meihui

doi:10.1016/j.quaint.2013.01.012

Cited by 12 publications

(5 citation statements)

References 33 publications

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“…In the relative soil moisture of farmland-equivalent areas, including the continental river basin, the relative soil moisture was patchily distributed, unlike in other areas where the distribution had a striped pattern [12]. This shows that the factors that affected the relative soil moisture of farmland in the continental river basin were very complex.…”

Section: Spatial Distribution Of Relative Soil Moisture Of Farmlandmentioning

confidence: 99%

“…The spatial distribution of areas with a relatively high relative soil moisture of farmland was consistent with the distribution of precipitation and runoff, showing that rainfall and meltwater had a decisive influence on the distribution of the relative soil moisture of farmland in the continental river basin. In the relative soil moisture of farmland-equivalent areas, including the continental river basin, the relative soil moisture was patchily distributed, unlike in other areas where the distribution had a striped pattern [12]. This shows that the factors that affected the relative soil moisture of farmland in the continental river basin were very complex.…”

Section: Spatial Distribution Of Relative Soil Moisture Of Farmlandmentioning

confidence: 99%

“…Kriging interpolation is the ideal geostatistical method for analyzing the spatial variation of meteorological factors [12,22,25]. The advantages of this interpolation are: (1) the degree of spatial similarity can be assessed using the mean variance based on spatial statistics, and the error can be theoretically estimated point by point, thereby avoiding the boundary effects of regression analysis; and (2) using the structural characteristics of the relative moisture data, missing data can be added using the method of linear unbiased optimal estimation, and the influence of topography on relative soil moisture can be considered at the same time (whereas the inverse distance weighted (IDW) and spline interpolation methods cannot).…”

Section: Kriging Interpolationmentioning

confidence: 99%

“…In particular, land use, slope, relative elevation, soil characteristics, rainfall, solar radiation, etc. [8][9][10][11][12][13], are important for understanding the spatial distribution of relative soil moisture. In the past century, great changes have taken place in various factors that have influenced relative soil moisture.…”

Section: Introductionmentioning

confidence: 99%

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Variation of the Relative Soil Moisture of Farmland in a Continental River Basin in China

Zhu

Pan

et al. 2019

Water

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The reduction of grain production caused by drought is one of the most serious problems caused by natural disasters. The relative soil moisture of farmland is the most important monitoring indicator for agricultural drought. This study investigated the relative soil moisture of farmland data from 38 agrometeorological stations in a continental river basin area in China from 1992 to 2012. Spatial and temporal variations of the relative soil moisture of farmland were studied using geostatistical analysis. The results show that, from 1992 to 2012, the average annual relative soil moisture of farmland in the continental river basin ranged from 62.5 to 86.1%, and the relative soil moisture of farmland was high in the marginal areas of basins and low in the central areas of basins and plateau areas. The relative soil moisture of farmland was high in the Tarim Basin and the Hexi Corridor, which are located in the northern Tianshan Mountains and the southern and northern Qilian Mountains, and was low from the northern Altun Mountains to the south of Lop Nor, the Turpan Depression, and the Tarbagatai Mountains. From 1992 to 2012, the annual average relative soil moisture of farmland in the continental river basins showed an increasing trend, with a growth rate of 0.57% yr−1. The variation tendency of the relative soil moisture of farmland was different in different river basins; the relative soil moisture showed a decreasing trend in the Mongolian Plateau and an increasing trend in other basin areas. The relative soil moisture of farmland increased in summer, spring, and winter, and decreased in autumn. The change in relative soil moisture of farmland was due to a combination of climatic factors, such as precipitation and temperature, as well as topography and glacial meltwater.

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Section: Spatial Distribution Of Relative Soil Moisture Of Farmlandmentioning

confidence: 99%

Section: Spatial Distribution Of Relative Soil Moisture Of Farmlandmentioning

confidence: 99%

Section: Kriging Interpolationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Variation of the Relative Soil Moisture of Farmland in a Continental River Basin in China

Zhu

Pan

et al. 2019

Water

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“…The dominant decreasing trend of soil relative moisture content across Hengduan Mountains in recent decades may originate from continental-scale climate variations and may be related to potential evapotranspiration decrease and precipitation increase (Zhu et al, 2013). Various surface temperatures, precipitation and vegetation cover influenced soil relative moisture content (Nemani et al, 1993;Sandholt et al, 2002).…”

Section: Relationship Between Soil Relative Moisture Content and Thornthwaite Moisture Indexmentioning

confidence: 99%

Variation of Thornthwaite moisture index in Hengduan Mountains, China

et al. 2016

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The Thornthwaite moisture index, an index of the supply of water (precipitation) in an area relative to the climatic demand for water (potential evapotranspiration), was used to examine the spatial and temporal variation of drought and to verify the influence of environmental factors on the drought in the Hengduan Mountains, China. Results indicate that the Thornthwaite moisture index in the Hengduan Mountains had been increasing since 1960 with a rate of 0.1938/yr. Annual Thornthwaite moisture index in Hengduan Mountains was between -97.47 and 67.43 and the spatial heterogeneity was obvious in different seasons. Thornthwaite moisture index was high in the north and low in the south, and the monsoon rainfall had a significant impact on its spatial distribution. The tendency rate of Thornthwaite moisture index variation varied in different seasons, and the increasing trends in spring were greater than that in summer and autumn. However, the Thornthwaite moisture index decreased in winter. Thornthwaite moisture index increased greatly in the north and there was a small growth in the south of Hengduan Mountains. The increase of precipitation and decrease of evaporation lead to the increase of Thornthwaite moisture index. Thornthwaite moisture index has strong correlation with vegetation coverage. It can be seen that the correlation between Normalized Difference Vegetation Index (NDVI) and Thornthwaite moisture index was positive in spring and summer, but negative in autumn and winter. Correlation between Thornthwaite moisture index and relative soil relative moisture content was positive in spring, summer and autumn, but negative in winter. The typical mountainous terrain affect the distribution of temperature, precipitation, wind speed and other meteorological factors in this region, and then affect the spatial distribution of Thornthwaite moisture index. The unique ridge-gorge terrain caused the continuity of water-heat distribution from the north to south, and the water-heat was stronger than that from the east to west part, and thus determined the spatial distribution of Thornthwaite moisture index. The drought in the Hengduan Mountains area is mainly due to the unstable South Asian monsoon rainfall time.

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Post‐paddy tillage affects soil physical processes of rain‐fed rice–wheat rotation

Liang

Ding

et al. 2022

Soil Science Soc of Amer J

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Rain‐fed rice (Oryza sativa L.)–wheat (Triticum aestivum L.) (RFRW) rotation can be a resource‐saving solution for sustainable cropping systems. However, conventional puddled and flood transplanted rice, repeat tractor compaction, and years of shallow rotary tillage and paddy–dryland rotation had a negative impact on soil physical in the RFRW rotation (e.g., soil consolidation and shrinkage, shallow tillage layer). A 4‐yr field experiment was established to determine if different post‐paddy tillage systems would improve soil physical properties and plant factors. We compared no‐tillage (NT), conventional rotary tillage (RT), and deep tillage (DT) to improve the deteriorated soil structure, soil water, wheat root system, and grain yield. The results indicated that DT increased the average soil water content by 7.25% and 9.98%, increased field capacity by 9.58 and 5.23%, and decreased the soil bulk density by 6.2 and 2.2% at 0‐to‐20‐cm soil depth in 4 yr as compared to NT and RT, respectively. The NT increased the average relative soil moisture and had higher soil bulk density at 0‐to‐20‐cm depth. The DT deepened the root growth and increased the total root point numbers by 21.0 and 22.8% at 0‐to‐40‐cm soil depth in 4 yr, respectively, compared with NT and RT. In 4 yr, the DT significantly achieved higher average grain yield by 5.3 and 13.5%, respectively, compared with NT and RT. Overall, DT after rice was shown to be a promising management approach for improving wheat yields and might enable sustainable intensification of RFRW rotation.

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Changes of surface soil relative moisture content in Hengduan Mountains, China, during 1992–2010

Cited by 12 publications

References 33 publications

Variation of the Relative Soil Moisture of Farmland in a Continental River Basin in China

Variation of the Relative Soil Moisture of Farmland in a Continental River Basin in China

Variation of Thornthwaite moisture index in Hengduan Mountains, China

Post‐paddy tillage affects soil physical processes of rain‐fed rice–wheat rotation

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