An exploratory analysis of benthic macroinvertebrates as indicators of the ecological status of the Upper Yellow and Yangtze Rivers

This study presents findings of the first systematic analysis of aquatic biotic assemblages in the source region of the Yellow and Yangtze Rivers. It provides an initial basis with which to select representative organisms as indicators to assess the aquatic ecological status of rivers in this region. Macroinvertebrates are considered to be good indicators of long-term environmental changes due to their restricted range and persistence over time. Field investigations of macroinvertebrates were conducted in August 2009 in the source region of the Yellow River, and in July 2010 in the source region of the Yangtze River. Altogether 68 taxa of macroinvertebrates belonging to 29 families and 59 genera were identified. Among them were 8 annelids, 5 mollusks, 54 arthropods and 1 other animal. In the source region of the Yellow River, taxa number, density and biomass of macroinvertebrates were 50, 329 individuals m2 and 0.3966 g dry weight m2, respectively. Equivalent figures for the source region of the Yangtze River were 29, 59 individuals m2 and 0.0307 g dry weight m-2. The lower benthic animal resources in the source region of the Yangtze River are ascribed to higher altitude, higher sediment concentration and wetland degradation. Preliminary findings of this exploratory study indicate that hydroelectric power stations had a weak impact on benthic dwellers but wetland degradation caused by a series of human activities had a catastrophic impact on survival of macroinvertebrates. Ecological protection measures such as conservative grazing and vegetation management are required to minimize grassland degradation and desertification, and reduce soil erosion rate and river sediment discharge.     

侵蚀泥沙、有机质和全氮富集规律

Serious soil erosion has already resulted in degradation of the Loess Plateau of China. Soil erosion is commonly accompanied by extensive soil nutrient loss. Because of enrichment processes,sediment nutrient content is often higher than that of natural soil. The objective of this study is to determine the enrichments of organic matter and total nitrogen in sediment in hilly and gully loess areas on the Loess Plateau of China. Measurements of enrichment ratios (ER) of organic matter (EROM) and total nitrogen (ERTN) in sediment as affected by rainfall, slope gradient, tillage, and fertilization were made in the field under natural rainfall conditions. The results showed that the enrichment of clay in sediment resulted in the enrichment of organic matter (OM) and total nitrogen(TN) in sediment. The averages of sediment clay ER, EROM and ERTN for the various slope gradients were 1.77, 2.09 and 1.61, respectively. The soil erosive module was negatively correlated with EROM and ERTN. Our results indicate that measures to reduce soil erosion, i.e. reducing rainfall erosivity, decreasing soil slope gradient, decreasing fertilizer use, and using level trenches, may increase EROM and ERTN. Both quantity and quality of sediment yield should be considered when implementing erosion control measures.     

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（英文）

The formation mechanism and influencing factors identification of soil erosion are the core and frontier issues of current research. However, studies on the multi-factor synthesis are still relatively lacked. In this study, the simulation of soil erosion and its quantitative attribution analysis have been conducted in different geomorphological types in a typical karst basin based on the RUSLE model and the geodetector method. The influencing factors, such as land use type, slope, rainfall, elevation, lithology and vegetation cover, have been taken into consideration. Results show that the strength of association between the six influencing factors and soil erosion was notably different in diverse geomorphological types. Land use type and slope were the dominant factors of soil erosion in the Sancha River Basin, especially for land use type whose power of determinant(q value) for soil erosion was much higher than other factors. The q value of slope declined with the increase of relief in mountainous areas, namely it was ranked as follows: middle elevation hill> small relief mountain> middle relief mountain. Multi-factors interactions were proven to significantly strengthen soil erosion, particularly for the combination of land use type with slope, which can explain 70% of soil erosion distribution. It can be found that soil erosion in the same land use type with different slopes(such as dry land with slopes of 5° and above 25°) or in the diverse land use types with the same slope(such as dry land and forest with a slope of 5°), varied much. These indicate that prohibiting steep slope cultivation and Grain for Green Project are reasonable measures to control soil erosion in karst areas. Based on statistics of soil erosion difference between diverse stratifications of each influencing factor, results of risk detector suggest that the amount of stratification combinations with significant difference accounted for 55% at least in small relief mountain and middle relief mountainous areas. Therefore, the spatial heterogeneity of soil erosion and its influencing factors in different geomorphological types should be investigated to control karst soil loss more effectively.     

Attribution analysis for water yield service based on the geographical detector method: A case study of the Hengduan Mountain region

Ecosystem services, which include water yield services, have been incorporated into decision processes of regional land use planning and sustainable development. Spatial pattern characteristics and identification of factors that influence water yield are the basis for decision making. However, there are limited studies on the driving mechanisms that affect the spatial heterogeneity of ecosystem services. In this study, we used the Hengduan Mountain region in southwest China, with obvious spatial heterogeneity, as the research site. The water yield module in the In VEST software was used to simulate the spatial distribution of water yield. Also, quantitative attribution analysis was conducted for various geomorphological and climatic zones in the Hengduan Mountain region by using the geographical detector method. Influencing factors, such as climate, topography, soil, vegetation type, and land use type and pattern, were taken into consideration for this analysis. Four key findings were obtained. First, water yield spatial heterogeneity is influenced most by climate-related factors, where precipitation and evapotranspiration are the dominant factors. Second, the relative importance of each impact factor to the water yield heterogeneity differs significantly by geomorphological and climatic zones. In flat areas, the influence of evapotranspiration is higher than that of precipitation. As relief increases, the importance of precipitation increases and eventually, it becomes the most influential factor. Evapotranspiration is the most influential factor in a plateau climate zone, while in the mid-subtropical zone, precipitation is the main controlling factor. Third, land use type is also an important driving force in flat areas. Thus, more attention should be paid to urbanization and land use planning, which involves land use changes, to mitigate the impact on water yield spatial pattern. The fourth finding was that a risk detector showed that Primarosol and Anthropogenic soil areas, shrub areas, and areas with slope 5° and 25°–35° should be recognized as water yield important zones, while the corresponding elevation values are different among different geomorphological and climatic zones. Therefore, the spatial heterogeneity and influencing factors in different zones should be fully con-sidered while planning the maintenance and protection of water yield services in the Hengduan Mountain region.     

The causes and processes responsible for rocky desertification in karst areas of southern China

The karst region of southern China is a fragile ecological zone with widespread rocky desertification. This paper describes the rocky desertification occurring in this region in terms of both natural and anthropogenic factors. During geological time periods, the region’s changing environment governed the natural rocky desertification processes, whereas during historical and modern times, anthropogenic processes have been superimposed on these natural processes. Human activities have accelerated and exacerbated rocky desertification. The period from the beginning to the middle of the Qing dynasty was an important transitional period in which human activities began to exert a particularly strong influence on rocky desertification. Since then, the effect of anthropogenic factors has increasingly exceeded the effect of natural factors. The rocky desertification process in southern China’s karst region combines surface ecological processes (including vegetation degradation and loss, soil erosion, surface water loss, and bedrock solution) with a reduction of the land’s biological productivity, leading to degradation that produces rocky desert. Controlling rocky desertification requires comprehensive development of sustainable agriculture and economic development that provides employment alternatives to agriculture and thereby promotes the rehabilitation of rocky desertified land.     

Soil erosion and its response to the changes of precipitation and vegetation cover on the Loess Plateau

Soil erosion is a major threat to our terrestrial ecosystems and an important global environmental problem. The Loess Plateau in China is one of the regions that suffered more severe soil erosion and undergoing climate warming and drying in the past decades. The vegetation restoration named Grain-to-Green Program has now been operating for more than 10 years. It is necessary to assess the variation of soil erosion and the response of precipita- tion and vegetation restoration to soil erosion on the Loess Plateau. In the study, the Revised Universal Soil Loss Equation （RUSLE） was applied to evaluate annual soil loss caused by water erosion. The results showed as follows. The soil erosion on the Loess Plateau between 2000 and 2010 averaged for 15.2 t hm-2 a 1 and was characterized as light for the value less than 25 t hm-2 a-1. The severe soil erosion higher than 25 t hm-2 a-~ was mainly distributed in the gully and hilly regions in the central, southwestern, and some scattered areas of earth-rocky mountainous areas on the Loess Plateau. The soil erosion on the Loess Plateau showed a deceasing trend in recent decade and reduced more at rates more than 1 t hm 2 a 1 in the areas suffering severe soil loss. Benefited from the improved vegetation cover and ecological construction, the soil erosion on the Loess Plateau was significantly declined, es- pecially in the east of Yulin, most parts of Yah＇an prefectures in Shaanxi Province, and the west of Luliang and Linfen prefectures in Shanxi Province in the hilly and gully regions. The variation of vegetation cover responding to soil erosion in these areas showed the relatively higher contribution than the precipitation. However, most areas in Qingyang and Dingxi pre- fectures in Gansu Province and Guyuan in Ningxia Hui Autonomous Region were predomi- nantly related to precipitation.     

江河源区NDVI时空变化及其与气候因子的关系(英文)

The source regions of the Yangtze and Yellow rivers are important water conservation areas of China. In recent years, ecological deterioration trend of the source regions caused by global climate change and unreasonable resource development increased gradually. In this paper, the spatial distribution and dynamic change of vegetation cover in the source regions of the Yangtze and Yellow rivers are analyzed in recent 10 years based on 1-km resolution multitemporal SPOTVGT-DN data from 1998 to 2007. Meanwhile, the correlation relationships between air temperature, precipitation, shallow ground temperature and NDVI, which is 3×3 pixel at the center of Wudaoliang, Tuotuohe, Qumalai, Maduo, and Dari meteorological stations were analyzed. The results show that the NDVI values in these two source regions are increasing in recent 10 years. Spatial distribution of NDVI which was consistent with hydrothermal condition decreased from southeast to northwest of the source regions. NDVI with a value over 0.54 was mainly distributed in the southeastern source region of the Yellow River, and most NDVI values in the northwestern source region of the Yangtze River were less than 0.22. Spatial changing trend of NDVI has great difference and most parts in the source regions of the Yangtze and Yellow rivers witnessed indistinct change. The regions with marked increasing trend were mainly distributed on the south side of the Tongtian River, some part of Keqianqu, Tongtian, Chumaer, and Tuotuo rivers in the source region of the Yangtze River and Xingsuhai, and southern Dari county in the source region of the Yellow River. The regions with very marked increasing tendency were mainly distributed on the south side of Tongtian Rriver and sporadically distributed in hinterland of the source region of the Yangtze River. The north side of Tangula Range in the source region of the Yangtze River and Dari and Maduo counties in the source region of the Yellow River were areas in which NDVI changed with marked decreasing tendency. The NDVI change was980 Journal of Geographical Sciences positively correlated with average temperature, precipitation and shallow ground temperature. Shallow ground temperature had the greatest effect on NDVI change, and the second greatest factor influencing NDVI was average temperature. The correlation between NDVI and shallow ground temperature in the source regions of the Yangtze and Yellow rivers increased significantly with the depth of soil layer.     

基于GIS的中国人口重心的密度分级与曲线特征

In this paper, with the spatial analysis functions in ArcGIS and the county-level census data of 2000 in China, the population density map was divided and shown by classes, meanwhile, the map system of population distribution and a curve of population centers were formed; in accordance with the geographical proximity principle, the classes of population densities were reclassified and a population density map was obtained which had the spatial clustering characteristic. The multi-layer superposition based on the population density classification shows that the population densities become denser from the Northwest to the Southeast; the multi-layer clustering phenomenon of the Chinese population distribution is obvious, the populations have a water-based characteristic gathering towards the rivers and coastlines. The curve of population centers shows the population densities transit from the high density region to the low one on the whole, while in low-density areas there are relatively dense areas, and in high-density areas there are relatively sparse areas. The reclassification research on the population density map based on the curve of population centers shows that the Chinese population densities can be divided into 9 classes, hereby, the geographical distribution of Chinese population can be divided into 9 type regions: the concentration core zone, high concentration zone, moderate concentration zone, low concentration zone, general transitional zone, relatively sparse area, absolute sparse area, extreme sparse area, and basic no-man's land. More than 3/4 of the population of China is concentrated in less than 1/5 of the land area, and more than half of the land area is inhabited by less than 2% of the population, the result reveals a better space law of China’s population distribution.     

Using remote-sensing technologies in combination with Cesium-137 measurements to estimate soil-erosion quantity in semi-arid steppe areas

Soil erosion by wind is one of the most important processes in the changing the earth’s surface in semi-arid areas,Thus it is of great importance to study soil-erosion action.Using integrated technologies of remote sensing and geochemistry radioactivity iso-tope to extract regional soil-erosion information and to calculate quantity of soil erosion is accomplished successfully in this paper by means of beneficial experiments in the Talatan region of the Gonghe Basin,which is located in northeastern Qinghai-Tibet Pla-teau in China.The results show that the soil erosion by wind is not intensive in this region;the erosion types belong to the classes of very-soft erosion and soft-erosion type,which account for 47.12 percent and 35.58 percent,respectively,of the total study area.In total,two kinds of soil erosion account for 82.70 percent of the study area;only a small area belongs to the classes of severe erosion and very-severe erosion;this area is about 22.14 km2.Severe deposition activity has taken place in this region,and has appeared in a large area(322.67 km2),which accounts for 11.78 percent of the total study area.The results of this study show that soil erosion and deposition inventories are 870,000-1,150,000 tons and 550,000-780,000 tons,respectively,per year.The soil in-ventory shows about 320,000-370,000 tons from Talatan to Longyangxia reservoir per year.Using remote-sensing technology and 137Cs techniques is a valid means to analyze and to evaluate the quantity of soil erosion by wind in semi-arid environments.     

Soil erosion risk evaluation using GIS in the Yuanmou County, a dry-hot valley of Yunnan, China

Soil erosion is a major threat to sustainable agriculture. Evaluating regional erosion risk is increasingly needed by national and in-ternational environmental agencies. This study elaborates a model (using spatial principal component analysis [SPCA]) method for the evaluation of soil erosion risk in a representative area of dry-hot valley (Yuanmou County) at a scale of 1:100,000 using a spatial database and GIS. The model contains seven factors: elevation, slope, annual precipitation, land use, vegetation, soil, and population density. The evaluation results show that five grades of soil erosion risk: very low, low, medium, high, and very high. These are divided in the study area, and a soil erosion risk evaluation map is created. The model may be applicable to other areas of China because it utilizes spatial data that are generally available.     

长江上游侵蚀产沙与社会经济因子的关系

近年来,随着一系列水利水保工程的建设和使用,长江上游地区人类活动改变泥沙过程的作用越发明显,有必要对其地位和作用进行宏观层面的分析。以四川省和重庆市为例,利用2007 年和1989 年县域截面数据研究了长江上游侵蚀产沙与社会经济因子的关系,结果表明：人口密度、耕地面积与侵蚀产沙具有显著的相关性,其中人口密度与侵蚀产沙的联系更为紧密,并且存在一个临界区间,当人口密度超过这个临界,侵蚀产沙随着人口密度与耕地面积的增加而减少;反之,则侵蚀产沙随着人口密度的增加而增加。这种临界现象实质上体现了地形、降水、土壤等自然环境对产沙的影响,也有部分人为作用。从时空变化来看,人口在不断的向产沙较少、自然条件良好的地区集中,从产沙较多、不适宜生产生活的地区迁离。自然因子对东部高人口密度地区产沙影响较小,对西部低人口密度地区的影响较大。总体上,自然因子对长江上游产沙格局的影响占主导。     

长江中上游土壤自然侵蚀量及其估算方法

首先阐述了土壤侵蚀可分为自然侵蚀和人为加速侵蚀,自然侵蚀是自地球形成以来就普遍存在的一种自然现象;继而从夷平面、河流阶地、沉积盆地等侵蚀和堆积地貌形迹论述了第四纪以来长江中上游土壤自然侵蚀存在的佐证事实;在此基础上,依据侵蚀沉积相关原理,利用沉积物的厚度、面积和沉积时段分别计算了洞庭湖流域、鄱阳湖流域和古云梦泽流域全新世以来的自然侵蚀量,它们分别为264.2t/km² · a、 312.5t/km² · a和297.0t/km² · a;同时,本文还辅以川西和三峡地区的对比实验小区资料,现代自然侵蚀量分别为342.0t/km² · a、 75~270t/km² · a佐证历史自然侵蚀量。长江上中游区域的自然侵蚀量介于264.0t/km² · a ~342.0t/km² · a之间。流域平均自然侵蚀量是现代侵蚀量的50%~60%之间;本研究成果有助于对长江中上游现代土壤侵蚀的属性、演变过程有一个科学的认识;同时可为生态保护、环境友好建设目标提供背景参照物。     

海河流域产沙模数尺度效应的空间分异

基于流域完整性、地形的相似性,将整个海河流域分为9 个分区,分析了各分区产沙模数的尺度效应。结果表明,在双对数坐标系上,产沙模数与流域面积的关系呈现出3 种类型：① 线性负相关,即产沙模数随流域面积的增大而减小;② 无显著相关,即产沙模数随流域面积的增大基本保持不变;③ 线性正相关,即产沙模数随流域面积的增大而增大。从地形、分区的位置以及土地利用状况方面对所有分区产沙模数的尺度效应进行分析,并对1000 km²标准面积下产沙模数进行校正。基于校正后的数据,利用ArcGIS 的Kriging 空间插值法,绘制了校正后的产沙模数图。校正结果显示,流域侵蚀模数的空间分布总体表现为自西向东逐渐减小的趋势,这与流域地形的总体变化趋势是一致的。流域西部以山地为主,因而侵蚀强度大,产沙模数高;东部以平原为主,是泥沙的淤积区域,因而产沙模数低。最后,对图中产沙模数的高值区域,从气候、植被和侵蚀作用力3 个方面进行了成因分析。     

长江上游输沙尺度效应研究

利用长江上游DEM、降雨、土地利用、土壤类型数据库,计算出通用土壤流失方程中代表影响侵蚀产沙的各因子,建立这些因子以及流域面积与长江上游268个水文站以上流域输沙模数回归关系,探讨上游侵蚀输沙的尺度效应。结果显示长江上游输沙模数与流域面积之间呈负幂函数单元回归关系,而且这一关系主要产生于降雨侵蚀力因子和土壤可蚀性因子随流域面积的变化。长江上游输沙模数随流域面积增大而降低主要发生在大约1×10⁴~1.58×10⁵km²之间。在考虑了影响侵蚀产沙因子对输沙模数的作用后,输沙模数与流域面积之间呈正幂函数相关,反映出上游输沙近源沉积的特征。分析还发现长江上游各主要支流输沙模数变化与流域尺度大小的关系和原因有明显不同。     

The contribution of gully erosion to total sediment production in a small watershed in Southwest China

Determining the contribution of gully erosion to the total sediment yield is important for enhancing decision-making regarding sediment abatement and soil conservation measures. The dry-hot valley region of the Jinsha River is one of the most intensive areas of gully erosion in China. However, the contribution of gully erosion to total sediment production in this region is unclear. Instead of using the source tracing technique commonly employed in other studies, this study provides a method of rapidly reconstructing historical sediment yields based on the properties of sediment that accumulated in an undrained pond at a small gully watershed outlet. We produced a three-dimensional model in geographical information system software to calculate the volume of each layer of accumulated pond deposits from 2006 to 2011. Moreover, we estimated sheet erosion amounts using the Universal Soil Loss Equation. The results showed that sheet erosion accounted for between 14.28 and 23.39% of the total sediment yield in the watershed in the case that the sediment delivery ratio was 100%. Therefore, gully erosion is the major source of total soil loss in this area, and effective soil measures of gully erosion mitigation are crucial for managing the sediment yield.     

长江上游山区聚落与水土保持的耦合机制

运用地理学、生态学和物理学的理论，从全新的角度对长江上游山区聚落形成的环境机制进行了系统的分析，提出山区聚落与水土保持之间存在的内在联系：1．山区聚落场所地处山体的自然截流部位，山区耕地的数量和质量是人类聚落对山地坡面过程中水、土资源截流效果的指示器，截留的规模决定聚落规模；2．小流域综合治理是一个完整的截流或节流体系，水土保持的本质就是对山地坡面过程截留；3．通过水土保持，人类获得赖以生存的物质和能量。因此，水土保持是山区聚落生态建设的基础工程，是链接人口、资源与环境协调发展的纽带，沟通人文聚落与自然环境和谐共处的桥梁。     

1960-2009年中国降雨侵蚀力的时空变化趋势

降雨侵蚀力反映了降雨对土壤侵蚀的潜在能力,因此降雨侵蚀力已经成为土壤侵蚀、产沙和水环境建模的主要参数之一。利用中国590个气象站1960-2009年逐日降雨量资料估算了中国每个气象站的降雨侵蚀力,并使用趋势系数、气候倾向率和Kriging空间插值方法分析了中国降雨侵蚀力的时空变化趋势。结果表明:我国年均降雨侵蚀力从东南沿海向西北内陆逐渐递减,与年均降水量空间分布基本一致;近50年来我国大部分地区年降雨侵蚀力呈现不显著的上升趋势,存在四个明显的上升区域和两个明显的下降区域;59个气象站年降雨侵蚀力变化趋势通过了0.05显著水平的置信度检验,年降雨侵蚀力显著增加的气象站主要分布在青藏高原中东部、东缘、天山山脉以及东南沿海区域。青海省的诺木洪-都兰-曲麻莱-伍道梁一带近50年来年降雨侵蚀力增加趋势最为显著,有可能加剧长江、黄河源头土壤侵蚀的风险。     

输沙量 、侵蚀量与泥沙输移比的流域尺度关系——以赣江流域为例

输沙量、侵蚀量与泥沙输移比的流域尺度转换研究是当前流域侵蚀产沙研究领域的前沿课题,旨在通过尺度转换理论将坡面小区试验研究成果转换到流域的更大范围。以赣江流域实测输沙量和计算侵蚀量与泥沙输移比数据为基础,探讨了该流域3个变量的流域尺度关系,进而研究分析了3个变量尺度转换的可能性。3个变量与流域面积的关系散点图和相关方程都反映了这3者与流域面积不存在明显的相关关系,相悖于前人反比关系的结论。文章还阐述了流域面积的内涵及输沙量、侵蚀量和输移比的影响因素与流域面积的关系,发现3个变量的影响因素与流域面积不存在尺度效应。由此推断在赣江流域输沙量、侵蚀量和泥沙输移比实现尺度转换存在的可能性不大。这一研究结论是否成立或是否具有普遍性意义还有待于更多流域的研究成果来进一步证实。     

不同土地-气候情景下三江源地区产水和水土流失评价（英文）

探讨三江源地区产水和土壤保持对整个青藏高原地区、黄河流域、长江流域及澜沧江流域的生态稳定和人类社会的可持续发展具有重要意义。以4期(2000年、2005年、2010年、2015年)土地利用现状数据、降水及气温日值数据集、1∶1000000中国土壤数据库为研究的数据源,结合居民点、道路、河流等矢量数据及人口、经济栅格数据集和CCSM4通用气候模式预测成果数据,以三江源地区为案例区,基于FLUS模型和降尺度校正方法设计4种土地利用发展情景和2种气候变化情景,应用InVEST模型对研究区域2030年不同情景下的产水和土壤侵蚀进行定量模拟。结果表明:(1)不同土地利用发展情景下,草地仍然是三江源地区的优势土地利用类型,面积占比始终大于67%。(2)RCP4.5气候情景下,年产水量和土壤侵蚀量增加幅度分别超过7%和3.9%;RCP8.5气候情景下,年产水量和土壤侵蚀量的减少幅度分别超过3.3%和1.3%。(3)气候变化在产水量和土壤侵蚀量变化中起主导作用。气候变化对产水量变化的贡献率高达89.97%–98.00%,对土壤侵蚀模数变化的贡献率在60.49%–95.64%之间;而土地利用类型变化对区域产水量变化的贡献率仅在2.00%–10.03%之间,对土壤侵蚀模数变化的贡献率在4.36%–39.91%之间。因此,三江源地区土地开发策略应综合考虑区域发展、退耕还林还草的投入及产生的生态效益等多方面问题。     

基于TETIS模型的黑土区乌裕尔河流域径流与侵蚀产沙模拟研究

为科学地认识中国东北黑土区流域土壤侵蚀特征,探讨TETIS模型在该区的适用性,本文以乌裕尔河流域为例,利用1971-1987年日径流与泥沙实测数据对TETIS模型进行了校正与验证,进而分析了流域土壤侵蚀强度特征及其与坡度、土地利用方式的关系。研究结果表明：TETIS模型在乌裕尔河流域适用性好,日径流与日输沙量的纳什效率系数在0.52~0.70之间,决定系数在0.60~0.71之间,体积误差均不超过15%。流域平均侵蚀模数为397.2 t/(km²·a),流域以微度和轻度侵蚀为主,约90%的产沙来自于坡面。平均土壤侵蚀模数随坡度的增大而增大,流域侵蚀量主要来自于0°~5°坡面。不同土地利用方式具不同的土壤侵蚀模数,耕地土壤侵蚀模数最大,达556.3 t/(km²·a)。坡度较大的耕地和植被覆盖度较低的区域是水土流失治理的重点。研究表明,TETIS模型在黑土区模拟土壤侵蚀产沙应用前景好,可为研究区制定水土保持措施提供科学依据。