Studying the spatial structure evolution of soil water content using multivariate geostatistics

Buttafuoco, Gabriele; Castrignanò, Annamaria; Busoni, E.; Dimase, A.C.

doi:10.1016/j.jhydrol.2005.01.018

Cited by 52 publications

(31 citation statements)

References 34 publications

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“…The spatial patterns of DSWC at the regional scale may in turn influence plant species distribution patterns and the ecological landscape, especially in arid and semi-arid areas, due to water limitations (Buttafuoco et al 2005, Engelbrecht et al 2007, Kéfi et al 2007. Forests are big water consumers and the extensive root systems of trees that efficiently extract soil water to depth may be expected to influence spatial variability as much as soil texture and topography.…”

Section: Land Management Implicationsmentioning

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: Land Management Implicationsmentioning

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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“…Contrarily, there is no systemic relationship between spatial variability of soil moisture and its mean value (Hawley et al, 1983;Charpentier and Groffman, 1992), while Owe et al (1982) found the highest spatial variability of soil moisture in the midrange of mean soil moisture values. Understanding the variability characteristic of soil moisture is crucial for soil parameterization in atmospheric and hydrological models, but it is controlled by many factors, such as weather, soil texture, vegetation and topography (Buttafuoco et al, 2005). Reynolds (1970) characterized the variability in small plots using gravimetric surveys and attributed variability to two sources: static properties (e.g.…”

Section: Introductionmentioning

confidence: 99%

Factors controlling the spatial variability of surface soil moisture within revegetated‐stabilized desert ecosystems of the Tengger Desert, Northern China

Pan

Wang

2009

Hydrological Processes

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Abstract:The spatial structure of surface soil moisture was investigated at a grid scale with 10 ð 10 m intervals on a plot of 4500 m 2 in a re-vegetated desert area in Shapotou, the Tengger Desert. The site topography varies from dune crest to dune hollow, and again to dune crest. Volumetric soil moisture contents were measured 21 times over 6 months in 2006 by using Delta-T Theta-Probes in the 0-6 cm surface soil layer before and after rainfall. At the same time, soil texture, relative elevation, and plant coverage were measured, to examine (i) the spatial variability of surface soil moisture; (ii) the main factors controlling the spatial variability patterns; and (iii) how the importance of these factors varies with the seasonal variations in soil moisture content. The results indicated that the normal distribution of surface soil moisture was more obvious in wet conditions than in dry conditions; the spatial variability of surface soil moisture was inherent and decreased with increased soil moisture content; and precipitation increased the spatial dependence of surface soil moisture. The relative elevation of the landscape, the shrub coverage of the community, and the soil texture were the main factors influencing surface soil moisture variability, while the effect of soil texture strengthened gradually following the heavy precipitation events. The correlation between the spatial variability of surface soil moisture and the environmental factors, such as, the dry and wet conditions, the landscape coverage and the relative elevation suggests that increasing stability of the soil moisture resulted in a significant increase of soil moisture.

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“…A correlação espacial tem sido utilizada em estudos relacionando a infiltração de água no solo e a espessura do horizonte A (Bertolani & Vieira, 2001), o conteúdo de água e a textura do solo (Vauclin et al, 1983), a textura do solo, a produção de biomassa e a produtividade de grãos (Miller et al, 1988). Buttafuoco et al (2005) estudaram as variações do conteúdo de água no solo durante um período de secamento e, ou, umedecimento.…”

Section: Introductionunclassified