Ancillary information improves kriging on soil organic carbon data for a typical karst peak cluster depression landscape

Zhang, Wei; Wang, Kelin; Chen, H.; He, Xingyuan; Zhang, Ji‐Guang

doi:10.1002/jsfa.5593

Cited by 51 publications

(30 citation statements)

References 40 publications

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“…In the karst area, most early reports have focused on the top soil layer (e.g., ≤ 30 cm) to assess the SOC stocks changes Fu et al, 2015;Liu et al, 2015b;Zhang et al, 2012). These above-mentioned works and other superficial studies on how land use changes may alter SOM dynamics (Post and Kwon, 2000;West and Post, 2002), may lead to erroneous results.…”

Section: Sampling Depth For Assessing Soc and Tn Stocksmentioning

confidence: 99%

“…Recently, some researchers have paid more attention about the effect of land use change on the soil physicochemical properties and soil quality in this karst region (Fu et al, 2015;Hu et al, 2014;Xie et al, 2015;Xu et al, 2008). However, studies on soil C dynamics were mainly focused on the surface layers (e.g., ≤ 30 cm), and the FD method is utilized to assess SOC stocks Fu et al, 2015;Liu et al, 2015b;Zhang et al, 2012). Very little effort has been devoted to the effect of land conversion on SOC stocks in the deeper soils.…”

Section: Introductionmentioning

confidence: 99%

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Combined deep sampling and mass-based approaches to assess soil carbon and nitrogen losses due to land-use changes in karst area of southwestern China

Wang

et al. 2016

Solid Earth

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Abstract. The conversion of natural vegetation to humanmanaged ecosystems, especially the agricultural systems, may decrease soil organic carbon (SOC) and total nitrogen (TN) stocks. The objective of present study was to assess SOC and TN stocks losses by combining deep sampling with mass-based calculations upon land-use changes in a typical karst area of southwestern China. We quantified the changes from native forest to grassland, secondary shrub, eucalyptus plantation, sugarcane and corn fields (both defined as croplands), on the SOC and TN stocks down to 100 cm depth using fixed-depth (FD) and equivalent soil mass (ESM) approaches. The results showed that converting forest to cropland and other types significantly led to SOC and TN losses, but the extent depended on both sampling depths and calculation methods selected (i.e., FD or ESM). On average, the shifting from native forest to cropland led to SOC losses by 19.1, 25.1, 30.6, 36.8 and 37.9 % for the soil depths of 0-10, 0-20, 0-40, 0-60 and 0-100 cm, respectively, which highlighted that shallow sampling underestimated SOC losses. Moreover, the FD method underestimated SOC and TN losses for the upper 40 cm layer, but overestimated the losses in the deeper layers. We suggest that the ESM together with deep sampling should be encouraged to detect the differences in SOC stocks. In conclusion, the conversion of forest to managed systems, in particular croplands significantly decreased in SOC and TN stocks, although the effect magnitude to some extent depended on sampling depth and calculation approach selected.

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Section: Sampling Depth For Assessing Soc and Tn Stocksmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Combined deep sampling and mass-based approaches to assess soil carbon and nitrogen losses due to land-use changes in karst area of southwestern China

Wang

et al. 2016

Solid Earth

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“…In Mediterranean environments, the high spatial and temporal variability of rainfall and high incoming solar radiation, typical of these regions, are the main factor controlling the variations of θ (Canton et al, 2004;Grayson et al, 2006;Martinez-Fernandez and Ceballos, 2003;Rivera et al, 2014;Wilson et al, 2004). Despite the fact that at coarse spatial scale factors such as rainfall and evapotranspiration constitute the main controls on θ, at small basin and hillslope scales, the variance of θ mainly depend on factors like soil properties, surface cover or topography (Calvo-Cases et al, 2003;Canton et al, 2001;Zhang et al, 2012;Zhao et al, 2013). In general, higher infiltration rates have been reported on coarse textured soils than on fine textured ones (Saxton et al, 1986), contributing to increase water movement into the soil.…”

Section: Introductionmentioning

confidence: 99%

“…The need for a better understanding of the complex interactions among factors that govern the spatial variability of θ on detailed spatial scales to adequately predict the movement of water in the soil and in the interphase soil-atmosphere is widely recognised by researchers (Canton et al, 2004;Famiglietti et al, 1998;Gomez-Plaza et al, 2001;Hébrard et al, 2006;Yoo et al, 2005;Zhang et al, 2012), especially in many Mediterranean coastal areas. On these areas water demand has undergone a significant increase due to the expansion in agriculture and tourism (Benoit and Comeau, 2005).…”

Section: Introductionmentioning

confidence: 99%

“…Many studies analysing θ patterns on semiarid areas at different spatial and temporal scales (Chamizo et al, 2013;Jia et al, 2013;Koster et al, 2004;Penna et al, 2013;Rivera et al, 2014) have been conducted. However, less attention has been paid to heterogeneous and hydrologically complex karst regions, in spite of the important role that θ plays on their structure, function and diversity (Zhang et al, 2012). In these areas, monitoring of θ is difficult to carry out because of soils are usually shallow, rocks are frequent and discontinuously distributed.…”

Section: Introductionmentioning

confidence: 99%

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Vertical and lateral soil moisture patterns on a Mediterranean karst hillslope

Cantón

Rodríguez‐Caballero

Contreras³

et al. 2016

Journal of Hydrology and Hydromechanics

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Abstract:The need for a better understanding of factors controlling the variability of soil water content (θ) in space and time to adequately predict the movement of water in the soil and in the interphase soil-atmosphere is widely recognised. In this paper, we analyse how soil properties, surface cover and topography influence soil moisture (θ) over karstic lithology in a sub-humid Mediterranean mountain environment. For this analysis we have used 17 months of θ measurements with a high temporal resolution from different positions on a hillslope at the main recharge area of the Campo de Dalías aquifer, in Sierra de Gádor (Almería, SE Spain). Soil properties and surface cover vary depending on the position at the hillslope, and this variability has an important effect on θ. The higher clay content towards the lower position of the hillslope explains the increase of θ downslope at the subsurface horizon throughout the entire period studied. In the surface horizon (0-0.1 m), θ patterns coincide with those found at the subsurface horizon (0.1-0.35 m) during dry periods when the main control is also exerted by the higher percentage of clay that increases downslope and limits water depletion through evaporation. However, in wet periods, the wettest regime is found in the surface horizon at the upper position of the hillslope where plant cover, soil organic matter content, available water, unsaturated hydraulic conductivity (K unsat ) and infiltration rates are higher than in the lower positions. The presence of rock outcrops upslope the θ sampling area, acts as runoff sources, and subsurface flow generation between surface and subsurface horizons also may increase the differences between the upper and the lower positions of the hillslope during wet periods. Both rock and soil cracks and fissures act disconnecting surface water fluxes and reducing run-on to the lower position of the hillslope and thus they affect θ pattern as well as groundwater recharge. Understanding how terrain attributes, ground cover and soil factors interact for controlling θ pattern on karst hillslope is crucial to understand water fluxes in the vadose zone and dominant percolation mechanisms which also contribute to estimate groundwater recharge rates. Therefore, understanding of soil moisture dynamics provides very valuable information for designing rational strategies for the use and management of water resources, which is especially urgent in regions where groundwater supports human consume or key economic activities.

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Special Issue: 2nd International Symposium on Sustainable Agriculture in Sub‐tropical Regions

2012

J Sci Food Agric

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Ancillary information improves kriging on soil organic carbon data for a typical karst peak cluster depression landscape

Cited by 51 publications

References 40 publications

Combined deep sampling and mass-based approaches to assess soil carbon and nitrogen losses due to land-use changes in karst area of southwestern China

Combined deep sampling and mass-based approaches to assess soil carbon and nitrogen losses due to land-use changes in karst area of southwestern China

Vertical and lateral soil moisture patterns on a Mediterranean karst hillslope

Special Issue: 2nd International Symposium on Sustainable Agriculture in Sub‐tropical Regions

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