基于地理探测器的喀斯特不同地貌形态类型区土壤侵蚀定量归因

土壤侵蚀形成机制与影响因素识别是当前研究的核心与前沿议题,然而从多因素综合作用的角度进行定量归因仍需加强。以喀斯特典型峰丛洼地流域为研究区,基于GIS手段和RUSLE模型模拟土壤侵蚀,综合土地利用、坡度、降雨、高程、岩性、植被覆盖度等影响因子,应用地理探测器方法针对喀斯特不同地貌形态类型区进行土壤侵蚀的定量归因研究。结果表明,各影响因子对土壤侵蚀的解释力及因子间耦合作用程度在不同地貌形态类型区差异显著,其中土地利用和坡度是决定土壤侵蚀空间异质的主导因子,但在山地丘陵区,随着地形起伏度的升高,坡度的控制作用下降,即地理探测器q值表现为中海拔丘陵>小起伏中山>中起伏中山;生态探测器显示土地利用对土壤侵蚀的影响相比于其他因子有显著差异;双因子交互作用有助于增强对土壤侵蚀的解释力,土地利用与坡度的协同作用对土壤侵蚀的解释力达到70%以上;对于土壤侵蚀空间分布的差异性检验,风险探测器显示在小起伏中山、中起伏中山等地貌形态类型中,具有显著差异的影响因子分层组合数占比至少55%。因而,喀斯特地区土壤侵蚀的治理应综合考虑不同地貌形态类型区土壤侵蚀影响机制的空间异质性。     

藏东地区斜坡土壤冻融侵蚀力学机制及敏感性分析

冻融侵蚀是青藏高原草甸覆盖区的主要侵蚀方式,以气候条件一致的藏东地区斜坡表层土壤侵蚀为对象,基于区域地质条件和土体赋存特征,分析了土壤剥蚀输移的力学过程,探索了缓变的隐性因子和灾变的显性因子对冻融侵蚀的作用机制.结果表明:①地表冻融侵蚀是自基岩风化和土壤演化起始,经历冻融拉裂破坏与沙土输移,到重新裸露基岩的一个循环演化...     

地貌格局与流域侵蚀产沙过程关系定量分析——以黄河中游河龙区间为例

以河龙区间42个流域为对象,在流域地貌格局信息提取和侵蚀产沙过程特征指标计算及其相互关系分析的基础上,探讨地貌格局对流域侵蚀产沙过程的影响。结果表明:①在河道系统水平,河流数量、长度等几何特征指标和河流分叉率(Rb₁₂)、分级率(Rd₃₂)、相邻级别间的河流长度比等形状特征指标与流域侵蚀模数显著相关;②在流域系统水平,坡度粗糙度、相对高差、圆度比、高长比是影响流域侵蚀产沙过程的主要指标,其中坡度粗糙度是最根本的解释变量;③各地貌格局因子间相互作用复杂,且对侵蚀过程的影响要强于泥沙输移过程,其通径分析模型对流域侵蚀模数、输沙模数和泥沙输移比变化的解释度分别为65%、33%和20%。这对正确认识影响流域侵蚀产沙过程的格局因素和建立准确的过程模型,具有重要参考价值。     

黄土丘陵沟壑区坡面径流侵蚀产沙过程的环境解释

应用数量分类(TWINSPAN)和排序(DCCA)方法对陕北吴起县典型坡面侵蚀产沙过程进行了环境解释。结果表明：环境因子对土样侵蚀产沙量的解释量达83%,其中DCCA排序轴前4轴的解释量占总排序轴解释量的69%,且分别与坡位、土壤质量、海拔、干根重显著相关。坡面径流侵蚀产沙量随冲刷时间呈波浪式变化,环境因子对侵蚀产沙过程影响甚微。坡面径流侵蚀产沙量按地形部位表现为梁峁顶<梁峁坡<沟坡<沟底,按地类则表现为灌木林<针阔混交林<针叶纯林<阔叶纯林。     

渭北矿区土壤侵蚀评估及驱动因素分析

陕西省渭北矿区地处黄土高原,受到自然环境和煤炭开采等人类活动的双重影响,该地区土壤侵蚀更为严重,生态环境更加脆弱。以渭北矿区为研究对象,基于RUSLE模型对渭北矿区土壤侵蚀进行了评估,并综合植被覆盖度、多年平均降水量、坡度、土地利用类型和煤炭年产量等影响因子,应用地理探测器方法对渭北矿区土壤侵蚀进行定量归因。研究结果对矿区水土流失防治具有一定参考价值。结果表明：（1）渭北矿区土壤侵蚀以微度和轻度侵蚀为主,土壤侵蚀严重的区域主要位于研究区西南部、中部和东南部。（2）植被覆盖度和多年平均降水量是造成研究区土壤侵蚀的主导因子,坡度介于20°~25°的地区、植被覆盖度小于0.3的区域和裸地是发生土壤侵蚀的高风险区。（3）渭北矿区各因子协同作用对土壤侵蚀的解释力均大于单因子解释力,因此多个因子共同作用会对土壤侵蚀造成显著影响。     

岳西县土壤侵蚀空间分布与环境因子的关系

以岳西县2004年TM影像为数据源,通过目视解译的方法,得到2004年土壤侵蚀强度矢量图。利用Arc-GIS软件,将土壤侵蚀图与不同的环境因子图进行叠加分析,探讨了岳西县2004年土壤侵蚀空间分布与环境因子的关系。结果表明:从土壤侵蚀与土壤类型的关系看,土壤侵蚀主要发生在麻石黄棕壤、黄棕壤性麻石土及麻石棕壤上。从不同土地利用方式看,侵蚀土壤主要发生在有林地、灌木林、水田、高覆盖草地地区。从土壤侵蚀与坡度的关系看,土壤侵蚀主要发生在3°～25°的坡度上,尤其在8°～25°坡度上居多。从土壤侵蚀与坡向的关系看,山地的北坡、西南坡、西坡及西北坡容易发生土壤侵蚀。从土壤侵蚀与海拔的关系看,200～1000 m地区土壤侵蚀比较显著,尤其500～1000 m的地区土壤侵蚀发生量多。     

The effects of loess erosion on soil nutrients, plant diversity and plant quality in Negev desert wadis

Severe erosion, initiated by climatic changes during the Late Pleistocene-Early Holocene period and resultant declines in dust deposition, causes the formation of waterfalls during the winter floods in many wadi systems in the central Negev desert of Israel. In some areas, erosion of the original loess substrate has been complete, so that the underlying rock has been exposed. We examined the effects of this erosion in four wadis in the central Negev desert on soil nutrients, plant community structure and plant quality. We predicted that erosion has caused reductions in soil nutrients. Reductions in soil nutrients should result in reductions in plant cover. Furthermore, reduced soil nutrient availability should cause reductions in the nutrient status and quality of the plants growing there. In addition to the loss of biodiversity that may result, this erosion may result in economic hardship for the Bedouin peoples whose herds depend on these resources. In this study, there were significant negative effects of erosion on soil organic carbon, nitrate nitrogen and water-holding capacity, but not on soil phosphorus, conductivity or pH. Furthermore, there was a negative effect of soil erosion on an overall measure of soil quality derived from a principal components analysis in three of the four wadis we studied. Erosion resulted in an increase in plant species richness and significantly altered plant community structure in eroded areas of wadis. Increased plant species richness in eroded sites is consistent with the intermediate disturbance hypothesis of plant community structure. Plants growing in eroded areas did not differ in two quality indices (nitrogen content and digestibility), although plants typical of eroded areas had significantly lower levels of common digestion inhibitors (total polyphenols) and toxins (alkaloids) than plants from undisturbed sites. These last-mentioned results are contrary to our prediction and are consistent with the notion that plants growing in disturbed (e.g. eroded) sites maximize growth at the expense of investments in defense.     

The consequences of land-cover changes on soil erosion distribution in Slovakia

Soil erosion is a complex process determined by mutual interaction of numerous factors. The aim of erosion research at regional scales is a general evaluation of the landscape susceptibility to soil erosion by water, taking into account the main factors influencing this process. One of the key factors influencing the susceptibility of a region to soil erosion is land cover. Natural as well as human-induced changes of landscape may result in both the diminishment and acceleration of soil erosion. Recent studies of land-cover changes indicate that during the last decade more than 4.11% of Slovak territory has changed. The objective of this study is to assess the influence of land-cover and crop rotation changes over the 1990–2000 period on the intensity and spatial pattern of soil erosion in Slovakia. The assessment is based on principles defined in the Universal Soil Loss Equation (USLE) modified for application at regional scale and the use of the CORINE land cover (CLC) databases for 1990 and 2000. The C factor for arable land has been refined using statistical data on the mean crop rotation and the acreage of particular agricultural crops in the districts of Slovakia. The L factor has been calculated using sample areas with parcels identified by LANDSAT TM data. The results indicate that the land-cover and crop rotation changes had a significant influence on soil erosion pattern predominately in the hilly and mountainous parts of Slovakia. The pattern of soil erosion changes exhibits high spatial variation with overall slightly decreased soil erosion risks. These changes are associated with ongoing land ownership changes, changing structure of crops, deforestation and afforestation.     

基于RUSLE的广东南岭土壤侵蚀敏感性研究

基于修正的通用水土流失方程RUSLE和GIS技术,分析了影响土壤侵蚀敏感性的降雨侵蚀力因子、土壤可蚀性因子、坡度坡长因子以及植被覆盖与管理因子,并生成单要素敏感性评价图,在此基础上,评价研究区土壤侵蚀敏感性,探讨不同土壤侵蚀敏感性的分布规律及其主导因子的空间分异特征。结果表明：降雨侵蚀力因子的变化范围为8 181.52~14 621.56（MJ·mm）/（hm2·h·a）,土壤可蚀性因子为0.146~0.238（t·hm2·h）/（hm2·MJ·mm）,坡度坡长因子为0~612.615,植被覆盖与管理因子为0.101~1.183,土壤侵蚀的最大值和平均值分别为7 016.44和137.69 t/（km2·a）,土壤侵蚀敏感性以低度敏感和较低敏感为主,不同影响因子在敏感性分区的变化范围不同,其中地形因子和植被覆盖与管理因子对土壤侵蚀最为敏感。     

我国土壤侵蚀与地理环境的关系

本文论述我国土壤侵蚀类型与自然地带性和非地带性因素的关系,分析影响侵蚀强度时空分布和侵蚀泥沙输移的环境因素及流域条件。     

隶属度判别法在水土流失快速评估中的应用

引入隶属度判别法对水土流失快速评估方法进行改进。在GIS的支持下,选取标准参照区域对反映水土流失状况的表现因子--输沙模数进行聚类,建立标准参照组,计算由各个环境因子特征值决定的水土流失对标准参照组的隶属度;采用特尔菲法确定选取的环境因子对表现因子的影响权重向量;对待测区域的环境因子进行分析,确定待测区域对标准参照组的隶属度矩阵和标准化隶属度向量;依据经验公式确定待测区域的输沙模数。以陕西省安塞县纸坊沟小流域为例进行了方法应用,结果表明该方法在小流域尺度上对输沙模数有较好的预测精度和较快的预测速度。     

威连滩冲沟砂黄土的风蚀与降雨侵蚀模拟实验

 通过风洞与模拟降雨实验，研究了风力与降雨对青海省贵南县威连滩冲沟砂黄土的复合侵蚀作用。实验得出：①风蚀后的降雨使砂黄土表面在风干过程中形成了一层较为坚硬的结壳，增大了土壤的抗蚀性，降低了第二次风洞实验后期的风蚀率;②土壤水分与人为扰动是影响土壤风蚀的两个重要因素。当土壤水分较小时，风蚀率受人为扰动影响巨大;当土壤水分较大时，人为扰动对土壤风蚀的影响较小;③在持续降雨的实验条件下，砂黄土的产流、产沙量随着雨强的变化而改变。这种变化与表土的侵蚀率、可蚀性物质的多少、土壤水分以及土壤的入渗率等都有很大的关系。     

Runoff and Soil Erosion on Slope Cropland: A Review

Soil erosion has become a serious environmental problem worldwide, and slope land is the main source of soil erosion. As a primary cover of slope land, crops have an important influence on the occurrence and development of runoff and soil erosion on slope land. This paper reviews the current understanding of runoff and soil erosion on slope cropland. Crops mainly impact splash detachment, slope runoff, and sediment yield. In this review paper, the effects of crop growth and rainfall on the splash detachment rate and the spatial distribution of splash detachment are summarized. Crop growth has a significant impact on runoff and sediment yield. Rainfall intensity and slope gradient can influence the level of erosive energy that causes soil erosion. Furthermore, other factors such as antecedent soil water content, soil properties, soil surface physical crust, and soil surface roughness can affect soil anti-erodibility. The varying effects of different crops and with different influence mechanisms on runoff and soil erosion, as well as changes in their ability to influence erosion under different external conditions should all remain focal points of future research. The effect of crop vegetation on runoff and soil erosion on slope land is a very important factor in understanding large-scale soil erosion systems, and in-depth study of this topic is highly significant for both theory and practice.     

黄土高原典型地区土壤侵蚀共性与特点

通过对黄土高原典型地区土壤侵蚀以往的研究结论进行综合分析，在比较土壤侵蚀相似性和差异性的基础上，对这些典型地区土壤侵蚀的共性与特点进行了研究，结果表明：1、黄土高原典型地区土壤侵蚀影响因素有降雨、地形及土地利用；2、黄土高原各典型地区主要侵蚀类型为水蚀及重力侵蚀；主要侵蚀发生时间为汛期；主要侵蚀空间分布特征为具有垂直分带性；3、绥德地区侵蚀产沙强烈，天水地区侵蚀相对轻微，安塞地区各种侵蚀特征典型。西峰地区土壤侵蚀特殊。     

2000～2008年内蒙古中部地区土壤风蚀危险度评价

选择内蒙古中部为研究区,以地理信息系统技术与层次分析法为依托,在深入调研风蚀驱动因子的基础上,构建了一个驱动因子相对全面并且实践可行的土壤风蚀危险度模型;基于该模型,综合长时间序列的遥感数据、地面气象台站观测数据,对研究区2000~2008年土壤风蚀危险度的空间分布格局、变化动态及其驱动机制进行了分析。结果表明:在内蒙古中部地区,从东南到西北土壤风蚀危险度呈现逐渐增强的趋势,不同的风蚀危险等级区有着不一样的主导控制因子;在2000~2008年期间,区域土壤风蚀危险程度总体呈现下降趋势;2000年以来风场强度的持续下降及植被NDVI的持续上升是促使区域土壤风蚀危险度下降的控制因子,而气候干燥度在2005年的大幅上升则是当年区域土壤风蚀危险度上升的控制因素。     

基于灰色关联法和德尔菲法的土壤侵蚀敏感性评价——以云南金沙江流域3个典型露天矿区为例

灰色关联法和德尔菲法是对系统中各因子的价值或贡献率进行评估的有效方法.土壤侵蚀敏感性的评价涉及自然界诸多因素,包括定性因素和定量因素,因此采用灰色关联法和德尔菲法进行土壤侵蚀敏感性评价将提高评价的效率和准确性.金沙江流域从上游到下游地理环境差异大,采用灰色关联法和德尔菲法对不同地理环境下的露天矿区进行土壤侵蚀敏感性评价,有助于流域的生态环境保护与治理.分别在该流域（云南部分）高山峡谷区、宽谷湖盆区、喀斯特中山丘陵区等3种地理环境下选取3个典型露天矿区为研究对象,以土壤质地、地形起伏度、坡度、植被覆盖度、植被类型、降水等6个因子作为评价指标,采用灰色关联度法、德尔菲法,在GIS软件平台下对3个典型露天矿区进行了土壤侵蚀敏感性评价,得出了3个典型露天矿区的土壤侵蚀敏感性.实践证明,两种方法与GIS相结合是实现土壤侵蚀敏感性评价的有效工具.     

Broad area mapping of monthly soil erosion risk using fuzzy decision tree approach: integration of multi-source data within GIS

Soil erosion poses a serious problem for sustainable agriculture and the environment. There is a need to develop a simple and practical approach for broad area mapping of soil erosion risk that uses the uncertain but available information as input data within the constraints of reasonable cost and time. In this work, a predictive approach for conducting analytical erosion risk assessment across broad areas is developed, which combines a fuzzy decision tree (FDT), remote sensing and Geographic Information System (GIS). This approach is applicable to situations with a limited amount of input data and can easily adjust assessment factors according to actual need. In this study, four dominating factors affecting soil erosion were considered: soil, topography, land cover and climate. GIS thematic layers of these factors were constructed followed by fuzzified analysis through trapezoidal shaped membership functions. Based on subdivided erosion response units (ERUs), an optimal FDT was determined to classify monthly soil erosion risk into five levels. High-risk and very high-risk soil erosion in the study area is mainly concentrated from June to August, with July and August showing the highest risk covering more than 80% of the study area. November to March is dominated by low risk over more than 90% of the study area, while medium risk is dominant in April, May, September and October. Compared with field survey data, the fuzzy decision erosion risk assessment approach was shown to be applicable and economical for rapidly identifying and locating soil erosion risk with limited input data by means of remote sensing and GIS.     

The effects of vegetation on runoff and soil loss: Multidimensional structure analysis and scale characteristics

This review summarizes the effects of vegetation on runoff and soil loss in three dimensions: vertical vegetation structures (aboveground vegetation cover, surface litter layer and underground roots), plant diversity, vegetation patterns and their scale characteristics. Quantitative relationships between vegetation factors with runoff and soil loss are described. A framework for describing relationships involving vegetation, erosion and scale is proposed. The relative importance of each vegetation dimension for various erosion processes changes across scales. With the development of erosion features (i.e., splash, interrill, rill and gully), the main factor of vertical vegetation structures in controlling runoff and soil loss changes from aboveground biomass to roots. Plant diversity levels are correlated with vertical vegetation structures and play a key role at small scales, while vegetation patterns also maintain a critical function across scales (i.e., patch, slope, catchment and basin/region). Several topics for future study are proposed in this review, such as to determine efficient vegetation architectures for ecological restoration, to consider the dynamics of vegetation patterns, and to identify the interactions involving the three dimensions of vegetation.     

关于我国土壤侵蚀模型研究进展

土壤侵蚀模型作为了解土壤侵蚀过程与强度,掌握土地资源发展动态,指导人们合理利用土地资源,管理和维持人类长期生存环境的重要技术工具,受到世界各国的普遍重视。本文总结了中国土壤侵蚀模型的主要成果,对经验统计模型、物理成因模型、国外模型在我国的应用方面作了详细的介绍。在总结和评价中国土壤侵蚀模型的基础上,提出了今后土壤侵蚀模型应该注重的发展方向:(1)注重土壤侵蚀模型的理论研究,将从以侵蚀因子为基础的侵蚀预报向侵蚀过程的量化研究和理论完善,研究各侵蚀因子及其交互作用对侵蚀过程的影响,泥沙在复杂坡面以及不同流域尺度间的分散、输移和沉积作用;(2)加强对重力侵蚀、洞穴侵蚀机制的研究,加强对大中流域侵蚀模型的研究;(3)充分利用先进的RS、GIS技术,为侵蚀模型的研究提供大量的数据源,以利于对土壤侵蚀模型的检验。     

基于RUSLE的流域土壤侵蚀敏感性评价——以福建省吉溪流域为例

以修正的通用水土流失方程(RUSLE)为核心,在分析流域土壤侵蚀敏感性影响因子的基础上,运用G IS技术对各敏感因子值进行估算,结合已有研究成果探讨了定量化的流域土壤侵蚀敏感性评价指标体系的建立,并以吉溪流域为例进行土壤侵蚀敏感性评价。同时分析了该流域土壤侵蚀敏感性与土壤侵蚀量的关系。最后,针对不同的流域土壤侵蚀敏感等级提出了相应的管理措施和建议。