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1.
Soil depth reflects the quantity and ecosystem service functions of soil resources. However, there is no universal standard to measure soil depth at present, and digital soil mapping approaches for predicting soil depth at the regional scale remain immature. Using observation of soil profile morphology, we compared the soil depth nomenclatures from the World Reference Base for Soil Resources, Chinese Soil Taxonomy, and Soil Taxonomy. For this study, shallow soils were defined as those with an effective soil depth < 100 cm. Based on legacy data and field soil survey, the spatial distribution of shallow soils in Xinjiang, China, and the main controlling environmental factors were explored. Results showed that shallow soils in Xinjiang are mainly distributed in high altitude regions such as the Tian Mountains. At the regional scale, significant correlations were observed between soil depth and climate factors, as well as between soil depth and vegetation fractional coverage. Contrary to previous conclusions at small spatial scales, terrain attributes could not explain soil depth variation at the regional scale. This study addressed knowledge gaps on soil depth prediction at regional scales while elucidating climate‐vegetation‐soil coevolution.  相似文献   
2.

Purpose  

Climate factors, considered significant factors in regulating soil organic carbon (SOC), are not equally important at all spatial scales. However, the scale which provides the optimal relationship between climate and SOC and how that relationship varies at multiple scales are still unclear. Thus, it is crucial to study the relationship between climate factors and SOC at multiple scales when attempting to accurately predict the SOC pool and evaluate the influence of climate change on global carbon cycling. The objective of this research is to examine the scale effect of climate factors on SOC content in the Uplands of Northeast China.  相似文献   
3.
Precision Agriculture - In developing countries, the use of proximal and remotely sensed data is of critical importance as a less expensive means of obtaining soils information. While proximal...  相似文献   
4.
As a case study on landscape pattern analysis of soil erosion change, Xingguo County in Jiangxi Province, China, was once one of the most severely eroded regions in Subtropical China. However, its soil erosion has been completely controlled in recent years. This county was historically full of forest as well as waterways that were well protected and soil erosion was seldom seen even by the mid-19th century. However, large areas of forest were destroyed after that period due to over-logging, which resulted in excessive erosion, bare hills, and mountains devoid of vegetation. Fortunately, soil erosion in Xingguo has been controlled gradually since 1982 after the county was appointed as 1 of the 8 Key National Level Erosion Control Regions. In this study, a raster (grid) soil erosion map was collected on the basis of soil erosion intensity maps from 1958, 1975, 1982 and 2000 with the aid of GIS software (ARC/INFO). Over 10 landscape indices were calculated using FRAGSTATS software for landscape pattern analysis. A set of free spatial statistics that address a fundamental problem in GIS, and soil erosion distribution patterns and their changes in the county were quantitatively analyzed at the landscape and class levels, respectively. Moreover, transformations of soil erosion types from 1958 to 1975, 1975 to 1982, and 1982 to 2000 were also calculated using the CROSSTAB module in IDRISI software. Results showed that at the landscape level, heterogeneity of soil erosion decreased. This was supported by decreasing tendencies of patch indices SHDI (Shannon’s diversity index), SHEI (Shannon’s evenness index), and IJI (Interspersion and juxtaposition index). This indicates that most of the severely eroded soil types were transformed into non-apparently eroded or slightly eroded types. Meanwhile, at the class level, a consistent pattern was found where the surface areas of non-apparently eroded or slightly eroded lands increased, and moderately, severely, very severely and extremely eroded lands deceased. In general, soil erosion in Xingguo County experienced three pronounced phases during the study periods: the exacerbation phase (1958–1975), the alleviation phase (1975–1982), and the overall alleviation phase (1982–2000). By the year 2000, 74.6% of total territory of this county was covered by land with no significant soil loss, indicating that severe soil erosion had been substantially controlled.  相似文献   
5.

Purpose  

Mercury (Hg) accumulation and transfer in soil ecosystems has been altered on local, regional, and even global scales, and their environmental risk has increasingly been a concern to the public and the scientific community.  相似文献   
6.
Precision Agriculture - Precision agriculture provides detailed information on the spatial variability of soil properties, including nutrient content, allowing for local-specific decision making....  相似文献   
7.
Land classification assists in identifying optimal crop selection for a given field, and land use capability gives an indication of potential agronomic productivity. However, these approaches are most germane to farming systems managed with high technology. This study sought to adapt land use capability to farming systems managed with low and intermediate levels of technology. Assessment of the classification criteria was conducted using erosion data as a primary indicator. The adapted (and currently in effect) criteria were compared in three regions in Minas Gerais, Brazil, each one representing one of the management levels. Erosion often results from inappropriate practices in land use or management. Therefore, maps of adequacy of land use and management were used to measure how well each one corresponded to the erosion map. The adapted criteria changed the spatial distribution of the classes of land use capability in different ways. Correspondence between the land use/management map and the erosion map increased from 71% to 88.5% when the criteria adapted to an intermediate level of management were used. It also increased from 62.9% to 66.7% when the criteria adapted to a low level of management were considered, better reflecting current erosion. Therefore, adopting adapted classification criteria is recommended for planning land use in locations where farming systems with low and intermediate levels of management are common, requiring re‐adaptation and reassessment depending on socio‐environmental factors.  相似文献   
8.
Phosphorus losses in runoff from sugarcane fields can contribute to non-point source pollution of surface and subsurface waters. The objective of this study was to evaluate the effects of three different management practices on P losses in surface runoff and subsurface leaching from sugarcane (Saccharum officinarum L.) fields. Field experiments with treatments including conventional burning (CB), compost application with burning (COMB), and remaining green cane trash blanketing (GCTB) treatments were carried out to assess these management practice effects on P losses from sugarcane fields. In the CB treatment, sugarcane residue was burned after harvest. The COMB treatment consisted of compost applied at ??off bar?? with sugarcane residue burned immediately after harvest. Compost was applied in the amount of 13.4 Mg ha?1 annually, 8 weeks before planting. In the GCTB treatment, sugarcane residue was raked off from the row tops and remained in the wheel furrow after harvest. Surface runoff was collected with automatic refrigerated samplers, and subsurface leachate was collected with pan lysimeters over a period of 3 years. Measured concentrations of total P (TP), dissolved reactive P (DRP), and particulate P (PP) in surface runoff from the COMB treatment were significantly higher than concentrations from the CB and GCTB treatments. The mean losses of P (TP and DRP) after burning (postharvest, years 2 and 3) were significantly greater than the no-burn treatment (preharvest, year 1) in the CB, COMB, and CB/COMB/GCTB combined options. Additionally, the mean losses of total suspended solid and total combustible solids in residue burning were, on average, 2.7 and 2.2 times higher than the no-burn practices, respectively (preharvest and GCTB treatment). Annual P losses from surface runoff in the third year of study were 12.90%, 6.86%, and 10.23% of applied P in CB, COMB, and GCTB treatments, respectively. However, the percent of annual DRP losses from applied P in COMB and GCTB treatments was similar magnitude, and their values were less than 50% compared to the value from CB treatment. In the leaching study, percent of monthly mean TP and DRP losses in the COMB and GCTB treatments were greatly reduced. Based on these results, the COMB and GCTB procedures were equally recommended as sugarcane management practices that improve water quality in both surface runoff and subsurface leachate.  相似文献   
9.
Soil plays an important role in the global carbon cycle, and carbon sequestration in soil is important for mitigating global climate change. Historically, soil erosion led to great reductions of soil organic carbon (SOC) storage in China. Fortunately, with the economic development and remarkably effective soil erosion control measures in subtropical China over the past 20 years, soil erosion has been greatly decreased. As a result, soil organic carbon sequestration has gradually increased due to the rapid recovery of vegetation in the area. However, little information exists concerning the potential of soil carbon sequestration in the area. This paper introduces a case study in Xingguo County, Jiangxi Province, China, which used to be a typical area with significant soil loss in subtropical China. This work represents a systematic investigation of the interrelations of carbon sequestration potential with soil erosion types, altitudes, soil types and soil parent materials. In this study, 284 soil samples were collected from 151 sampling sites (51 are soil profile sites) to determine soil physicochemical properties including organic carbon content. Soil organic carbon distribution maps of the surface layer (0–20 cm) and whole profile (0–100 cm) were compiled by linking soil types to the polygons of digital soil maps using GIS. Assuming that SOC was lost following the destruction of native vegetation, these lands hold great promise for potentially sequestering carbon again. The potential of soil carbon sequestration in the study area was estimated by subtracting the organic carbon status in eroded soils from that in non-eroded soils under undisturbed forest. Results show that the potential of SOC in the surface layer is 4.47 Tg C while that in the whole profile is 12.3 Tg C for the entire county. The greatest potential for carbon sequestration (3.72 Tg C) is found in severely eroded soil, while non-eroded soil has the smallest potential. Also, soil carbon sequestration potential decreases with increasing altitude. Soils at altitudes of <300 m show the greatest potential (5.01 Tg C), while those of >800 m have the smallest potential (0.25 Tg C). Among various soil types, red earths (Humic Acrisols) have the greatest potential of carbon sequestration (5.32 Tg C), and yellow earths (Ferralic Cambisols) have the smallest (0.15 Tg C). As for soils derived from various parent materials, soils derived from phyllite possess the greatest carbon sequestration potential, and soils from Quaternary red clays have the smallest.  相似文献   
10.
Arid soil is common worldwide and has unique properties that often limit agronomic productivity, specifically, salinity expressed as soluble salts and large amounts of calcium carbonate and gypsum. Currently, the most common methods for evaluating these properties in soil are laboratory‐based techniques such as titration, gasometry and electrical conductivity. In this research, we used two proximal sensors (portable X‐ray fluorescence (PXRF) and visible near‐infrared diffuse reflectance spectroscopy (Vis–NIR DRS)) to scan a diverse set (n = 116) of samples from arid soil in Spain. Then, samples were processed by standard laboratory procedures and the two datasets were compared with advanced statistical techniques. The latter included penalized spline regression (PSR), support vector regression (SVR) and random forest (RF) analysis, which were applied to Vis–NIR DRS data, PXRF data and PXRF and Vis–NIR DRS data, respectively. Independent validation (30% of the data) of the calibration equations showed that PSR + RF predicted gypsum with a ratio of performance to interquartile distance (RPIQ) of 5.90 and residual prediction deviation (RPD) of 4.60, electrical conductivity (1:5 soil : water) with RPIQ of 3.14 and RPD of 2.10, Ca content with RPIQ of 2.92 and RPD of 2.07 and calcium carbonate equivalent with RPIQ of 2.13 and RPD of 1.74. The combined PXRF and Vis–NIR DRS approach was superior to those that use data from a single proximal sensor, enabling the prediction of several properties from two simple, rapid, non‐destructive scans.  相似文献   
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