Soil water carrying capacity for vegetation: A hydrologic and biogeochemical process model solution

Xia, Yongqiu; Shao, Mingan

doi:10.1016/j.ecolmodel.2008.01.024

Cited by 73 publications

(43 citation statements)

References 37 publications

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“…It has been considered reasonable to assume a random spatial pattern for soil moisture in loess areas of China (Qiu et al 2003), central Italy (Brocca et al 2007) and elsewhere (Mohanty et al 2000, Jacobs et al 2004. Some studies have indicated that the spatial variability of SWC at a small scale may be controlled by land-use type (Qiu et al 2003), topography (Bi et al 2008), landscape position (Qiu et al 2001a), and plant growth and vegetation coverage (Yoo and Kim 2004, Chen et al 2007, Xia and Shao 2008. However, with increasing spatial scale, some largerscale factors must be taken into account (Entin et al 2000), for example, soil type (Pollen 2007), regional precipitation (Wilson et al 2005, Basistha et al 2008, Sariş et al 2010, regional evapotranspiration (Perry and Niemann 2007), regional soil infiltration capability (Regalado and Ritter 2006), regional vegetation types (Bosch et al 2006) and regional soil nutrition patterns (Yoo and Kim 2004).…”

Section: Regional Spatial Pattern Of Deep Soil Water Content and Its mentioning

confidence: 99%

Regional spatial pattern of deep soil water content and its influencing factors

Wang

Shao

Liu

et al. 2012

Hydrological Sciences Journal

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., 2012. Regional spatial pattern of deep soil water content and its influencing factors. Hydrological Sciences Journal, 57 (2), 265-281.Abstract Plant root systems can utilize soil water to depths of 10 m or more. Spatial pattern data of deep soil water content (SWC) at the regional scale are scarce due to the labour and time constraints of field measurements. We measured gravimetric deep SWC (DSWC) at depths of 200, 300, 400, 500, 600, 800 and 1000 cm at 382 sites across the Loess Plateau, China. The coefficient of variation was high for soil water content (SWC) in the horizontal direction (48%), but was relatively small for SWC in the vertical direction (9%). Semivariogram ranges for DSWC at different depths were between 198 and 609 km. Kriged distribution maps indicated that deep soil layers became moister along northwest to southeast transects. Multiple statistical analyses related DSWC to plant characteristics (e.g. plant age explained >21% of the variability), geographical location and altitude (8-13%), soil texture and infiltrability, evaporation zone and eco-hydrological processes (P < 0.05). Regional land management decisions can be based on our DSWC distribution data to determine land uses and plant species appropriate for the soil type and location that would maintain a stable soil water balance. Maintaining infiltrability is of great importance in this and other water-scarce regions of the world.Key words spatial variability; land-use management; geostatistics; multiple linear regression; residual maximum likelihood analysis; Loess Plateau of China Répartition spatiale régionale du contenu en eau des sols profonds et des facteurs qui l'influencent Résumé Les systèmes racinaires des plantes peuvent utiliser l'eau du sol à des profondeurs de 10 m ou plus. Les données de répartition spatiale du contenu en eau des sols profonds (SWC) à l'échelle régionale sont rares en raison des contraintes de main d'oeuvre et de temps des mesures sur le terrain. Nous avons mesuré le contenu en eau du sol (CES) gravimétrique profond (CESP) à des profondeurs de 200, 300, 400, 500, 600, 800 et 1000 cm sur 382 sites à travers le plateau de loess, en Chine. Le coefficient de variation était élevé pour le CES dans le sens horizontal (48%), mais était relativement faible pour le CES dans le sens vertical (9%). Les gammes des semi-variogrammes pour le CESP à différentes profondeurs allaient de 198 à 609 km. Les cartes de répartition krigées ont indiqué que les couches profondes du sol devenaient plus humides le long de transects nord-ouest au sud-est. De multiples analyses statistiques ont relié le CESP aux caractéristiques des plantes (par exemple, l'âge des plantes expliquait plus de 21% de la variabilité), à la localisation géographique et à l'altitude (8-13%), à la texture et l'infiltrabilité du sol, à la zone d'évaporation et aux processus éco-hydrologiques (P < 0,05). Les décisions régionales de gestion foncière peuvent être basées sur nos données de distribution de CESP pour déterminer l'occupation du sol et les espèce...

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Section: Regional Spatial Pattern Of Deep Soil Water Content and Its mentioning

confidence: 99%

Regional spatial pattern of deep soil water content and its influencing factors

Wang

Shao

Liu

et al. 2012

Hydrological Sciences Journal

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“…Two shrub species, C. korshinkii and S. psammophila, are dominant and equally distributed in the arid and semi-arid regions of the northern Loess Plateau. Because they can adapt to dry climates, these shrub species contribute to soil and water conservation by sheltering from wind and water erosion (Tang, 2000;Xia and Shao, 2008). The shrub species C. korshinkii is a nitrogen fixating leguminous plant with even pinnate compound leaves, whereas the S. psammophila is non-leguminous and has strip leaves.…”

Section: Experimental Site and Designmentioning

confidence: 99%

“…planting perennial shrubs and grasses, to improve the environmental quality and to reduce water and soil losses in the area. In this semi-arid region, however, an incompatibility exists between the limited soil water availability and the extensive plant coverage required for protecting the land (Xia and Shao, 2008).…”

Section: Introductionmentioning

confidence: 99%

“…Guo and Shao (2004) presented a semi-empirical model to estimate the water balance between water supply and plant water consumption using two years of contiguous climatic data, and determined that the optimal coverage for 16-to 17-year old C. korshinkii was 8155 plants ha − 1 in the semi-arid area of the loess hilly region. Xia and Shao (2008) developed a process-based model to calculate the optimal plant coverage using three years of contiguous climatic data and found the optimum plant density of C. korshinkii to be 2250 trees ha − 1 compared to the observed density of 6500 trees ha − 1 ; whereas for Salix psammophila, the optimum and observed densities were 2800 and 4800 trees ha − 1 , respectively.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of plant coverage in relation to water balance in the Loess Plateau of China

Huang

Gallichand

et al. 2012

Geoderma

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“…Water erosion occurs during the rainy season, while wind erosion occurs during strong windy days (mainly in Spring and Autumn), which causes serious soil and water losses and makes the region a main source of coarse sediments to the Yellow River's middle-lower reaches (Tang 2004). Since the 1990s, research in the region has focused on spatial and temporal distributions of soil water (Hu et al 2008), soil water carrying capacity for vegetation (Xia and Shao 2008), water transport at the interface of soil, vegetation and the atmosphere and cycles in ecosystems and watersheds (Fan et al 2007) and other hydrologic aspects. However, the status of organic C and nutrients as well as land use impacts are not well understood.…”

Section: Introductionmentioning

confidence: 99%

Distribution of soil organic C, N and P in three adjacent land use patterns in the northern Loess Plateau, China

Wei

Shao

et al. 2009

Biogeochemistry

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The northern Loess Plateau is an important cropping-pastoral ecotone and wind-water erosion crisscross region in China, but the distribution of soil organic carbon (C), nitrogen (N) and phosphorus (P) in different land uses across this vulnerable ecoregion is not well understood. This study was carried out to determine the distribution patterns of soil organic C, N and P in native grassland and in two woody lands (Chinese Pine land and Korshinsk Peashrub land) that were established on the native grassland 28 years ago. In the north part of the Loess Plateau, the concentrations of soil organic C, N and P were lower than in the southern Loess Plateau either across or within the land use patterns. The concentrations and stocks of organic C and total N were significantly decreased in Chinese Pine and Korshinsk Peashrub lands compared with those in native grassland in the surface 0-40 cm soil layer, where more than 70% of the roots were distributed. The decreases in organic C in 0-40 cm soil layers were 2.6 and 3.0 Mg C ha -1 (26.3 and 27.7%) by Chinese Pine and Korshrinsk Peashrub, while those of total N were 0.6 and 0.4 Mg N ha -1 (31.5 and 17.2%), respectively, compared with native grassland. Both concentration and stock of total P varied only slightly with land use. The findings suggested that the conversion of natural grass into Chinese Pine and Korshinsk Peashrub resulted in decreased soil organic C and total N in the surface 0 to 40 cm soil layer of the northern Loess Plateau. Our results further indicated that a combination of low temperatures, little precipitation and large soil degradation impede increasing C and N stocks by afforestation, and the afforestation on grassland should be viewed very critically in such areas.

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Soil water carrying capacity for vegetation: A hydrologic and biogeochemical process model solution

Cited by 73 publications

References 37 publications

Regional spatial pattern of deep soil water content and its influencing factors

Regional spatial pattern of deep soil water content and its influencing factors

Optimization of plant coverage in relation to water balance in the Loess Plateau of China

Distribution of soil organic C, N and P in three adjacent land use patterns in the northern Loess Plateau, China

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