地球化学示踪在现代土壤侵蚀研究中的应用

土壤侵蚀导致土地退化、农产品产量和品质下降、水环境污染等诸多问题 ,引起各方面的广泛关注 ,而且这个问题随着持续增长的人口压力和农业生产方式深刻变革的影响而日益严重。由于目前广泛使用的高差法、遥感研究法、RUSLE、野外调查法、水土流失监测点法等土壤侵蚀研究方法存在着一些不足 ,因此 ,核素地球化学示踪法、稀土元素示踪法、土壤地球化学指标法等地球化学示踪方法应运而生 ,在土壤侵蚀研究中发挥其独特作用。在比较了各种传统的土壤侵蚀研究方法的优势和不足的基础上 ,作者认为 :1 137Cs、 2 10 Pb可用于研究 30、 40年左右平均土壤侵蚀速率 ,7Be可用于示踪季节性土壤侵蚀和一次降雨事件的土粒运移 ,并说明这些核素的示踪原理和侵蚀速率的定量依据 ;2人为施放稀土元素 ( REE)示踪法适合定量一次或多次降雨事件的侵蚀速率 ,可用于土壤侵蚀理论的研究 ,尤其适合于室内模拟实验的研究 ;3土壤磁化率法和土壤理化性质指标法研究土壤侵蚀是一种处于起步阶段的侵蚀研究方法 ,适用于土壤质量退化研究 ,但要用于土壤侵蚀研究特别是侵蚀速率的定量研究还很不成熟。     

基于植被净初级生产力和水分利用效率的埃塞俄比亚土地退化趋势及驱动因素分析

土地退化对减缓和适应气候变化有重要影响,并威胁到全世界的可持续发展,造成一系列社会、经济和生态问题,是目前全球面临的最大环境挑战之一。基于2001—2020年埃塞俄比亚的归一化植被指数（NDVI）、气象数据及土地覆盖数据,通过CASA模型计算获得植被净初级生产力（NPP）和水分利用效率（WUE）,并使用Sen+MK趋势分析方法得到土地退化及其恢复趋势,同时采用多元逐步回归方法分析了土地退化及恢复的驱动因素。结果表明：2001—2020年,埃塞俄比亚土地退化整体呈现恢复趋势,恢复区域占全国面积的34.51%,主要分布在埃塞俄比亚西部以及索马里州;退化区域仅占全国面积的1.63%,主要分布在首都亚的斯亚贝巴。土地退化及恢复的主要驱动因素是人为与气候共同因素和人为单因素。土地退化的主要因素为人口的快速增长以及城市的扩张,土地恢复则与20年来实施的森林景观恢复以及可持续土地管理措施和政策有关。     

云南怒江流域泥石流敏感性空间分析

泥石流敏感性空间分析是通过评估诱发泥石流发生的因子,应用空间技术,进行泥石流发生的敏感性分析。本文探讨了GIS技术与敏感性分析的条件概率模型相结合的泥石流敏感性空间分析,并且阐述了GIS空间分析技术在泥石流敏感性制图中特有的优越性。研究区选择在遭受泥石流危害严重的云南怒江流域。用于泥石流敏感性分析评价的主要敏感因子包括地形坡度、岩土体类型、暴雨、河网密度、土地利用、地震动峰值加速度和人类活动。在对这些因子进行了敏感性空间分析的基础上,应用GIS的分析工具对敏感因子集成评价而产生了云南怒江流域泥石流敏感性评价图。泥石流敏感性评价图可以帮助规划者或工程师在土地发展规划中选择最佳建设场所,以减轻泥石流灾害的影响。     

中国南方地区土地退化动态变化及人类活动影响

中国南方典型研究区50 年代和80 年代土地退化的对比分析表明, 近几十年来, 不同人类活动地区土地退化变化呈现出各自不同的特点, 土地退化发展最严重的地区既不是人口密度较小和经济较落后的基岩山区,也不是人口密度大、经济发达和土地开垦程度高的低丘岗地区, 而是人口增长速度较快, 经济不够发达的低山丘陵地区。     

近20 a黄河源园区土地退化时空演化分析

三江源黄河源园区作为黄河的发源地,它的生态系统对整个黄河流域至关重要。针对研究区2000—2020年存在的土地退化问题,选取土壤侵蚀模数、沙化特征指数与土壤湿度指数,采用空间托普利茨逆协方差聚类法开展了3个参数的聚类分析,从而进行黄河源园区土地退化时空演化分析,并采用极致梯度提升法进行时空演化影响因素分析。结果表明：（1） 土地退化现象最严重的地区是中部偏南地区与东北地区,其次为偏北地区。（2） 东北地区存在水土流失与土地沙化2种问题,中部偏南地区以严重的水土流失为主,偏北地区主要表现为土地沙化问题。（3） 近20 a来,土地退化指数呈现波动性下降,土地退化整体趋于好转,在偏南地区表现得更明显。（4） 水土流失问题整体好转,偏北地区有土地沙化的风险。该研究对掌握黄河源园区土地退化的时空分布及发展趋势、推进黄河源园区生态保护具有重要意义。     

基于逻辑回归模型的环北京地区土地退化态势分析

以环北京地区为研究区域,从土地利用类型变化和农用地质量下降两个方面分析了环北京地区土地退化状况,并利用逻辑回归模型分析了土地退化与气候、地貌、植被、土壤、人口、土地利用变化、社会经济因子之间关系,探讨土地退化的发展趋势。研究结果表明,风蚀土地是环北京地区土地退化的主要类型,主要分布在监测区内蒙古高原西北部、坝上高原北部及阴山北部地区,从监测区的西北到东南方向,土地退化数量逐渐减少;由牧草地退化而增加沙地是土地利用类型变化造成退化的重要类型,主要集中在浑善达克沙地监测区。基于建立的沙地增加、风蚀土地和水蚀土地逻辑回归模型,年均降雨量和土壤有机质对环北京地区沙地增加的影响最强,沙地增加最可能的区域将主要分布在浑善达克沙地的边缘地带和科尔沁沙地的东部区域;NDVI和土壤有机质对环北京地区风蚀土地影响最强,风蚀土地最可能发生的区域集中在浑善达克沙地南部;NDVI、坡度和土壤湿度对环北京地区水蚀土地影响最强,水蚀土地最可能发生的区域集中在监测区的东南部,并且所预测的最可能发生土地退化的区域与已存在的退化土地区域具有一定的相关性。通过以上分析,最后提出了环北京地区生态环境建设的建议。     

金沙江干热河谷土地荒漠化评价指标体系研究

土地荒漠化的评价是土地荒漠化研究中的重要理论问题,根据多年对金沙江干热河谷土地荒漠化形成机制、影响因子及荒漠化土地的表现特征等的研究,提出了土地荒漠化评价的原则,并通过对各影响因子在土地荒漠中贡献率的分析和筛选,选择出能显著评价土地荒漠化程度的三个因子,五个指标,即地貌因子的切割密度和坡度,土壤因子的土壤厚度和有机质含量,植被因子的植被指数。在大量样方测算和样品分析的基础上给出每个指标的量化标准,首次建立了金沙江干热河谷土地荒漠化的评价指标体系。针对土地景观生态系统的复杂性和模糊性,在建立评价指标体系的基础上,采用模糊综合评判的方法,对土地荒漠化程度进行定量评价,为荒漠化土地的预防和治理提供科学依据和决策支持。     

Assessment of land degradation in Mediterranean forests and grazing lands using a landscape unit approach and the normalized difference vegetation index

Land managers need sound, evidence-based information about land degradation patterns and about the effectiveness of their management responses. Obtaining such information is particularly difficult in Mediterranean grazing lands and forests, where a long history of anthropogenic pressure, high topographical and climatic variability, and frequent disturbances combine to create a highly diverse and unstable environment.Our study aimed at designing a methodology to provide land managers in three data-scarce drylands in Spain, Greece, and Cyprus with spatially explicit, up-to-date information on the state of their land, the pressures driving land degradation, and the effectiveness of their management efforts using remotely sensed NDVI data. To translate NDVI values into a land degradation assessment, we analysed the variance of the annual average NDVI within different landscape units, which we identified based on land cover, aspect, and slope steepness parameters. After calibrating and validating the land degradation mapping methodology using field observations, we related the obtained land degradation patterns with spatial information about grazing and wildfire, as well as controlled grazing and afforestation practices.Our methodology proved useful to assess land degradation and management measures in dry, semi-natural ecosystems. It also provided insights into the role of landscape in modulating land degradation. Results indicate that grazing is a significant cause of land degradation even in partially abandoned areas; repeated fires have a negative impact; slope steepness increases the land's sensitivity to grazing; north- and east-facing slopes are less sensitive to fire in the long term than south- and west-facing slopes; and the effectiveness of responses to land degradation is substantially affected by land cover and topography.The methodology presented can be used to overcome the lack of spatially explicit information on the state of the land in drylands of the Mediterranean and beyond, or as a basis for more in-depth studies to plan restoration interventions.     

Land degradation in north-western Jordan: causes and processes

Improper farming practices, overgrazing, the conversion of rangelands to croplands in marginal areas and uncontrolled expansion of urban and rural settlement at the cost of cultivable land are among the major causes of land degradation in north-western Jordan. The purpose of this study was to discuss the major causes of land degradation in the area.Six sites receiving different amounts of annual precipitation and with different vegetation types were selected to represent the major agricultural areas in north-western Jordan. The major soil properties that can be linked to land degradation were studied.Desertification in north-western Jordan is taking place through loss of soil fertility and productivity, overgrazing and water and wind erosion. Erosion by wind and water is considered the major cause of land degradation in the area. The soils contain little organic matter and their alkaline reactions reduce the availability of phosphorous and macronutrients and consequently lead to very low crop yields.     

基于全球土地退化零增长监测体系构建的中国沙化土地监测体系及效果评估

土地荒漠化是非常重要的生态环境问题,而科学评价荒漠化治理和零增长目标是否实现的必要前提是具有完善统一的评价体系。为此,联合国防治荒漠化公约（UNCCD）提出了土地退化零增长（LDN）的概念和监测指标。防治土地退化是中国的重要生态目标,中国已开展了多次全国土地荒漠化和沙化监测工作。但是,如何将这些监测结果用于土地退化的评估实践,尚未见报道。因此,本研究针对中国四大沙地,利用3期全国荒漠化和沙化监测数据,与基于UNCCD框架体系下的土地退化零增长（LDN）指标进行对比分析,并基于土地沙化程度变化趋势提出了中国沙化土地退化指标体系（CSLDN）。结果表明：UNCCD所提出的LDN监测指标与中国的荒漠化监测数据总体精度为0.51,中国沙化土地监测指标与LDN指标具有宏观一致性。此外,经本地优化后的CSLDN指标克服了低植被盖度区域LDN对土地退化和恢复的评价不准确的问题,更准确刻画了精细尺度空间内的土地动态变化状况,对土地退化防治意义重大。     

Factor analysis to detect the causes of land degradation in Maduo County, northeastern Qinghai-Tibet Plateau

The area of desertified land has increased by 27.3% from 1987 to 2000 in Maduo County,northeastern Qinghai-Tibet Plateau.Driving forces of land degradation has been extensively studied in the region.Using Factor Analysis (FA),we evaluate contribution of human activity and natural environmental change to land degradation.Four common factors were extracted in this study.The result shows that climate related other than human-related factors,are the major inducing factors of land degradation in Maduo County.Climate change and consequent change of permafrost account for 70% to the land degradation.Increasing evaporation and declining precipitation in the beginning of the growing season hamper seedling establishment.Decreasing frozen days and rising active layer lower bound make surface soil loose and less soil moisture available for plant.     

陕北长城沿线地区土地退化态势分析

以陕北长城沿线农牧交错区为例，运用遥感与GIS技术，定性与定量相结合的方法，对研究区1985－1998年土地利用类型转换及土地退化时空规律，趋势和机制等进行了评价与分析。研究表明：该区土地退化的主导类型及土地沙漠化。从成因分析，土地沙漠化主要是长期以来的人口超载，不合理的土地利用方式和高强度的土地开发行为激发了地表自然过程伯退化性演替，致使潜在的自然环境脆弱怀转化为现实的破坏。过去13年土地退化程度部体上在不断剧，而且退化类型正向多样化发展。最后，依据评价与分析结果，进一步对该区土地退化防治和沙漠化土地生态恢复的措施与对策进行了讨论。     

The influence of land use change on karst water quality of Shuicheng Basin in Guizhou Province

The influence of land use and land cover on ecological environment is a focus of global change research. The paper chooses an industrial city-Shuicheng in Guizhou Province-as a study area because the karst water quality around the city is deteriorating with land use and land cover change. The natural susceptibility of karst water system is an important factor leading to karst water pollution. But land use and land cover change is also a main factor according to the chemical analysis of karst water quality and land use change. So it is a good way to protect karst water through rational planning and managing of land use and land cover.     

土地利用变化对水城盆地岩溶水水质的影响

The influence of land use and land cover on ecological environment is a focus of global change research. The paper chooses an industrial city-Shuicheng in Guizhou Province-as a study area because the karst water quality around the city is deteriorating with land use and land cover change.The natural susceptibility of karst water system is an important factor leading to karst water pollution.But land use and land cover change is also a main factor according to the chemical analysis of karst water quality and land use change. So it is a good way to protect karst water through rational planning and managing of land use and land cover.     

冀北地区植被指数变化特征及影响因素分析

利用8km分辨率的NOVV/AVHRR NDV I数据、土地利用/覆被变化TM影像解译数据、气候数据、DEM数据和经济统计数据,对冀北地区1987~2000年植被覆被变化特征及影响因素进行了分析,得出主要结论如下:冀北地区土地覆被变化下NDVI平均增加值为0.35,变化特征为集中连片。土地利用变化导致NDVI平均减小值为0.17,变化特征呈斑块状离散分布。土地利用类型变化、错季蔬菜生产等人为因素对土地覆被变化下NDVI变化贡献率较低,降水、特别是生长季降水分布特征是影响NDVI变化的重要因素。     

Characteristics of grassland degradation and driving forces in the source region of the Yellow River from 1985 to 2000*

The source region of the Yellow River is located in the middle east of the Tibetan Plateau in northwest China. The total area is about 51,700 km2, mainly covered by grassland (79%), unused land (16%) and water (4%). The increasing land utilization in this area has increased the risk of environmental degradation. The land use/cover data (1985 and 2000) provided by the Data Center of Resources and Environment in the Chinese Academy of Sciences were used to analyze the land cover change in the source region of the Yellow River. DEM (1:250,000) data, roads and settlement data were used to analyze the spatial characteristics of grasslands degradation. The ArcGIS 9 software was used to convert data types and do the overlay, reclassification and zonal statistic analysis. Results show that grassland degradation is the most important land cover change in the study area, which occupied 8.24% of the region’s total area. Human activities are the main causes of the grassland degradation in the source region of the Yellow River: 1) the degradation rate is higher on the sunny slope than on the shady slope; 2) the grassland degradation rate decreases with an increase in the elevation, and it has a correlation coefficient of -0.93; 3) the nearer to the settlements the grassland is, the higher the degradation rate. Especially within a distance range of 12 km to the settlements, the grassland degradation rate is highly related with the distance, with a coefficient of -0.99; and 4) in the range of 4 km, the degradation rate decreases with the increase of distance to the roads, with a correlation coefficient of -0.98. Besides some physical factors, human activities have been the most important driving forces of the grassland degradation in the source region of the Yellow River since 1985. To resolve the degradation problems, population control is essential, and therefore, it can reduce the social demand of livestock products from the grassland. To achieve sustainable development, it needs to improve the management of grassland ecosystem.     

Soil and plant responses to degradation of alpine grassland in source region of the Yellow River

Land degradation has been rapidly taking place in source region of the Yellow River in China. This study was conducted during 2008 in Maduo County to investigate soil and plant changes in relation to land degradation. Several results were derived from this work. First, the soil organic carbon (SOC) and total nitrogen (TN) decreased significantly on the extremely degraded land comparing with the natural grassland. Second, soil bulk density increased as land degradation worsened. Soil bulk density of the extremely degraded land was significantly greater than that of the grassland. Third, pH showed no obvious variation pattern. Finally, aboveground biomass decreased from grassland to the moderately degraded land. But aboveground biomass increased on the extremely degraded land and very extremely degraded land with most aboveground biomass inedible for livestock.     

Impact of non-livelihood-based land management on land resources: the case of upland watersheds in Uporoto Mountains, South West Tanzania

Various land management strategies are used to prevent land degradation and keep land productive. Often land management strategies applied in certain areas focus on the context of the physical environment but are incompatible with the social environment where they are applied. As a result, such strategies are ignored by land users and land degradation becomes difficult to control. This study observes the impacts of land management in the upland watersheds of the Uporoto Mountains in South West Tanzania. In spite of various land management practices used in the area, 38% of the studied area experienced soil fertility loss, 30% gully erosion, 23% soil loss, 6% biodiversity loss and drying up of river sources. Land management methods that were accepted and adopted were those contributing to immediate livelihood needs. These methods did not control land resource degradation, but increased crop output per unit of land and required little labour. Effective methods of controlling land degradation were abandoned or ignored because they did not satisfy immediate livelihood needs. This paper concludes that Integrating poor people's needs would transform non-livelihood-based land management methods to livelihood-based ones. Different ways of transforming these land management methods are presented and discussed.     

黄土高原晋陕蒙毗邻地区土地退化遥感分析

本文利用遥感技术通过典型区的分析,对黄土高原土地退化现状及其成因过程进行了深入研究。结果表明,黄土高原地区由于特殊的自然条件,加以长期人类活动影响,土地退化十分严重,并处于不断发展之中,主要表现为水土流失和土地沙化等。     

The relevance of humus forms for land degradation in Mediterranean mountainous areas

In the Gavarras (NE Spain), a large number of plots on respective schists, leucogranite and granodiorite was studied for their soils and vegetation. Results were used to check conclusions from earlier studies of Mediterranean forest soils (mostly shallow Regosols and Cambisols) on such acidic to intermediate rocks. They confirmed that the humus form depends on catenary position and lithology, and that aggregate stability and infiltration characteristics of the upper mineral soil horizon relate to humus form type. Aggregate stability of the topsoil was found to be relatively high in mor and mull type humus forms, but differences with moder type humus forms were not statistically significant. Differences in aggregate stability are attributed to the presence of stable humus–clay–iron complexes in mulls and to high fungal activity and organic matter content of mors. Low infiltration rates were only encountered in topsoils with mor type humus form, in line with results from the earlier studies. In deeper soil horizons with low organic matter content, aggregate stability will be largely related to soil reaction and base saturation. On leucogranite and granodiorite, these were found to vary strongly, most probably largely due to local differences in fast acid neutralizing capacity (ANC_f). These local differences are primarily attributed to differences in the mineralogical composition and texture of the soil material, connected with differences in lithology and/or brought about by erosion, colluviation and soil formation. Consonant with earlier studies, it is concluded that the susceptibility of these forest soils to erosion largely depends on properties of the upper mineral soil horizon, which are controlled by or related with humus form development. General trends in the latter are clear and can be used to predict this susceptibility. In the case of land degradation, which implies a more severe erosion, deeper soil horizons are also involved. Spatial variability in properties of these horizons, relevant for degradation, is considerable and not clearly related to humus form development. Accordingly, the abovementioned trends in humus form development cannot be used to predict the susceptibility to land degradation.