喀斯特坡地不同土地利用类型土壤水分差异性研究

对比分析桂西北喀斯特坡地5种土地利用类型0~20cm表层土壤含水量的差异,结果表明:喀斯特生境条件下坡地土壤含水量受降水的影响明显,雨季和旱季差异显著。各土地利用类型间,灌丛类型由于枯枝落叶层而增强了土壤的保水持水能力;生态恢复林(板栗、木豆)种植初期,土表接近于裸地,蒸发强烈,应采取一定的蓄水保墒措施;混种有匍匐类作物的复垦坡耕地,其土壤水分条件则与撂荒多年草地相似。比较土壤层间含水量的季节差异,灌丛类型土壤有明显的层间蓄水补水能力。喀斯特山地应通过建立合理的土地利用类型,改变地表覆被状况进而改善土壤水分条件,为生态重建服务。     

Predicted trends of soil erosion and sediment yield from future land use and climate change scenarios in the Lancang–Mekong River by using the modified RUSLE model

Soil erosion and sediments in the Lancang-Mekong River Basin as a result of climate change and changes in land use pose a threat to the existence of the riparian people, biodiversity and ecosystems. This study seeks to assess the annual soil erosion in terms of spatial distribution and the trends of sediment yield with the climate and land changes in future scenarios in 2030 and 2040 through the modified RUSLE model. Future lands were simulated by using the MLP artificial neural network and the Markov chain analysis. The future climate was examined by using the Max Planck Institute model, which showed a corrected bias and downscaled grid size under the Representative Concentration Pathways (RCPs). The simulated land use indicated that the forest areas were converted mostly to agricultural lands and urban areas. In the future, the average rainfall under all RCP scenarios is higher than that from the historical period. The R and C factors changed constantly, thereby affecting the soil erosion rate and sediment yield. The maximum erosion was estimated at approximately 21,000 and 21,725 t/km²/y under RCP8.5 in both years. Meanwhile, the results of sediment yield in 2030 and 2040 under RCP scenarios were much higher when compared to historical sediment data around 66.3% and 71.2%, respectively. Thailand's plateau, some parts of Cambodia and Laos PDR and the Mekong Delta are vulnerable to increase soil erosion and sediment yield. Measures to address these issues need to be planned to prepare and mitigate the possible effects, especially the loss of storage capacity in dams.     

Influence of landuse on soil erosion risk in the Cuyaguateje watershed (Cuba)

Landuse changes may dramatically enhance erosion risk. Besides deforestation, also arable landuse may have an important influence on soil loss. We investigated the erosion risk in a 151 km² subwatershed of the Cuyaguateje watershed (Cuba) using the RUSLE model. It was found that the valleys used for agriculture have the highest erosion risk, with actual erosion surpassing soil loss tolerance. Over the period 1985–2000, about 14 km² of forest has been converted into arable land. As a result, the area with a very high erosion risk increased with 12%. On arable land it was found that the crop management factor C of a “tobacco/maize” rotation was 0.478, compared to 0.245 for a rotation of various crops (sweet potato, beans, maize, cassava and fallow). When maize in the “tobacco/maize” rotation was intercropped with a leguminous crop (hyacinth bean) the C factor decreased to a value of 0.369. Also contouring may halve soil loss on moderate slopes (< 10%) when high ridges are applied, which is in Cuba generally the case for maize, cassava and sweet potato.     

Assessing air-drying and rewetting pre-treatment effect on some soil enzyme activities under Mediterranean conditions

Soil enzyme activities are useful indicators of soil quality as they are very sensitive to disturbance. Sample storage or pre-treatments could affect the results in these assays, which are normally determined in fresh samples, kept cold or frozen. The objectives of this study were to (i) evaluate the effect of air-drying or air-drying and rewetting on β-glucosidase, acid phosphatase and urease activities in soils from different locations, degradation status and sampling seasons, and (ii) assess if air-drying or air-drying and rewetting is an accurate sample storage and pre-treatment procedure for enzyme activities in soil quality evaluations under semiarid Mediterranean conditions. Our results showed that urease, phosphatase and β-glucosidase activities were hardly affected by air-drying of degraded and non-degraded soils from the two locations studied in all seasons. Short incubations (4, 8 and 12 d at 23 °C) of rewetted air-dried soil at 55% of water-holding capacity showed different patterns depending on the enzyme studied. Urease and β-glucosidase activities were relatively stable during incubation, with several significant (P<0.05) shifts up and down in some soils and samplings. However, acid phosphatase showed an increase in activity with incubation, of between 5% and 50% relative to air-dried samples. These increases followed no pattern and were unrelated to soil characteristics or sampling date. Hence, urease, phosphatase and β-glucosidase activities determined in air-dried soil samples seem to be representative of those obtained under field-moist conditions. In contrast, short incubations of rewetted soil samples can produce fluctuations in these enzyme activities, mainly of acid phosphatase, and estimations in these conditions are not so representative of field-moist soil values.     

Implications of decadal changes in precipitation and land use policy to soil erosion in Basilicata,Italy

This paper examines the implications of changes in precipitation and land use to soil erosion from 1955 to 2002 in Basilicata, a hilly portion of southern Italy. Analysis of daily precipitation records reveals statistically significant trends using both non-parametric and parametric approaches. The inter-annual variability of precipitation increases in intensity; primarily between October and January. From 1955 to 2000, the length of dry spells greatly increased, while wet days decreased. A land use change map was produced for the three study areas using aerial photos (1955) and orthophotos (1997 and 2002), integrated with field surveys. Results show that land use is highly dynamic in Basilicata, especially due to the application of the European Union's Common Agricultural Policy (CAP) measures. The EU policies resulted in reclamation of badlands and degraded grasslands for agriculture, principally the cultivation of durum wheat. This farming practice and the abandonment of some of the remodeled areas have increased the risk of soil erosion and desertification processes, and is manifest in land degradation by rill networks and gullying.     

Modeling spatial variation in productivity due to tillage and water erosion

The advent of precision farming practices has heightened interest in managing field variability to optimize profitability. The large variation in yields across many producer fields demonstrated by yield–monitor–equipped combines has generated concern about management-induced causes of spatial variation in soil productivity. Soil translocation from erosion processes may result in variation in soil properties across field landscape positions that produce long-term changes in soil productivity. The objective of this study was to examine the relationships between soil redistribution caused by tillage and water erosion and the resulting spatial variability of soil productivity in a soil catena in eastern South Dakota. An empirical model developed to estimate tillage erosion was used to evaluate changes expected in the soil profile over a 50-year period on a typical toposequence found in eastern South Dakota and western Minnesota. Changes in the soil profile due to water erosion over a 50-year period were evaluated using the WEPP hillslope model. The tillage erosion model and the WEPP hillslope model were run concurrently for a 50-year period to evaluate the combined effect of the two processes. The resulting changes in soil properties of the root zone were evaluated for changes in productivity using a productivity index model. Tillage erosion resulted in soil loss in the shoulder position, while soil loss from water erosion occurred primarily in the mid to lower backslope position. The decline in soil productivity was greater when both processes were combined compared to either process acting alone. Water erosion contributed to nearly all the decline in soil productivity in the backslope position when both tillage and water erosion processes were combined. The net effect of soil translocation from the combined effects of tillage and water erosion is an increase in spatial variability of crop yields and a likely decline in overall soil productivity.     

中国土壤可蚀性值及其估算

土壤可蚀性是评价土壤对侵蚀敏感程度的重要指标,也是进行土壤侵蚀预报的重要参数。本文运用野外观测资料,研究了我国不同水土流失区的土壤可蚀性值问题。根据实测资料,计算给出了一组土壤可蚀性实测值。并利用这组实测值。对我国土壤可蚀性估算问题进行了探讨。结果表明,国外现有的可蚀性估算模型不能直接应用于我国土壤的可蚀性计算,估算值明显大于实测值。但估算值与实测值之间存在有良好的线形关系。最后提出了我国不同地区及不同资料占有情况下的土壤可蚀性估算方法。本文研究结果可以直接用于我国土壤侵蚀预报中土壤可蚀性计算。     

基于RUSLE模型的黑龙江省2000-2010年土壤保持量评价

黑龙江省是我国重要的粮食产区,同时也是东北地区重点生态保护区,黑龙江省土壤保持量的研究对维持生态安全与可持续发展有重要作用。基于黑龙江省2000年、2005年和2010年的降雨、土壤、高程等数据,结合GIS空间分析方法,运用修订的通用土壤流失方程(RUSLE),估算了2000—2010年黑龙江省土壤保持量,并对其空间分布及变化趋势进行模拟分析。结果表明:2000—2010年,黑龙江省土壤保持能力整体增强,土壤保持量增加了5.34%,且除牡丹江和哈尔滨地区外,各行政区的土壤保持量均有所增加;各土地利用类型的年均单位面积土壤保持量以森林最多,为3 384.36 t·km-2·a-1,裸地最少,为177.17 t·km-2·a-1,10年来除农田和灌丛外,各土地利用类型的单位面积土壤保持能力均增强;2000—2010年黑龙江省高等级土壤保持量比例及低等级转化成高等级土壤保持量的面积都在提高,黑龙江省土壤保持能力10年来趋于好转。     

华南丘陵区村级景观下土地利用/土地覆盖对土壤质量的影响

利用IKONOS高分辨率（1m）卫星遥感图,根据Ellis提出的村级景观分类体系,研究华南丘陵区村级景观中的土壤容重、土壤有机质、土壤全氮和土壤全磷的含量和分布特征。结果表明：不同土地利用景观中,表层土壤（0～15cm）的土壤容重、有机质和全氮均有显著差异,最大值分别为：1．42gcm^-3（建设用地）、18．67g kg^-1（水田）和0．95g kg^-1（水田）,而全磷差异不显著。由于林地面积最大,其土壤养分储量也最大,表层土壤有机质、全氮、全磷储量分别占整个地区表层总储量的55．05％、53．88％、46．23％。不同土地覆盖景观中,表层土壤的土壤容重、有机质、全氮也都有显著差异,最大值分别为：1．42gcm^-3（硬化地面）、15．96g kg^-1（混合植被）和0．68g kg^-1（混合植被）,而全磷差异也不显著。多年生植被在土地覆盖景观中所占面积最大,其表层土壤有机质、全氮、全磷储量分别占整个地区表层总储量的55．01％、54．53％、59．02％。由于下层受人为干扰较小,不论是在不同土地利用方式还是在土地覆盖下,下层土壤（15～30cm）的土壤容重、有机质、全氮和全磷均无显著差异。人为强烈干扰下,植被覆盖度低的交通用地、房屋及其附近的干扰地和荒地与植被覆盖度高的林地、水田相比较,土壤容重高,而土壤有机质、土壤全氮和土壤全磷含量低。     

A comparison of mineral-magnetic and distributed RUSLE modeling in the assessment of soil loss on a southeastern U.S. cropland

As geospatial technologies increasingly figure into resource management activities, there is a corresponding need to provide commensurately detailed high resolution spatial data. This study addresses the capacity of rapidly and cheaply acquired mineral-magnetic data to provide detailed spatially distributed assessments of long-term cumulative soil loss from agricultural fields. Model output from a simple distributed implementation of the Revised Universal Soil Loss Equation (RUSLE) and from a field-data-oriented soil magnetism-based erosion model are compared for a small Alabama (USA) farm lot. An undisturbed reference soil toposequence is used as input to the magnetism model, in contrast with earlier studies that relied on a single reference soil profile. Results from this procedure, while likely to be more dependable, proved primarily to further emphasize spatial patterns noted in prior studies. In addition, the use of a toposequence decreased the area over which RUSLE and magnetism models were in agreement. RUSLE underpredicted denudation relative to magnetism-model results over upper slopes, and overpredicted it on lower slopes. The locations of former access roads may explain underprediction on the upper slopes. The differences between the two method outcomes are discussed with regard to the potential for spatial variability in parent materials, the efficacies of non-fluvial soil redistribution processes, and the availability of detailed land use records for the 100+ years of agricultural activities at the site.