Is the soil moisture precipitation feedback enhanced by heterogeneity and dry soils? A comparative study

The interaction between the land surface and the atmosphere is a crucial driver of atmospheric processes. Soil moisture and precipitation are key components in this feedback. Both variables are intertwined in a cycle, that is, the soil moisture – precipitation feedback for which involved processes and interactions are still discussed. In this study the soil moisture – precipitation feedback is compared for the sempiternal humid Ammer catchment in Southern Germany and for the semiarid to subhumid Sissili catchment in West Africa during the warm season, using precipitation datasets from the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), from the German Weather Service (REGNIE) and simulation datasets from the Weather Research and Forecasting (WRF) model and the hydrologically enhanced WRF-Hydro model. WRF and WRF-Hydro differ by their representation of terrestrial water flow. With this setup we want to investigate the strength, sign and variables involved in the soil moisture – precipitation feedback for these two regions. The normalized model spread between the two simulation results shows linkages between precipitation variability and diagnostic variables surface fluxes, moisture flux convergence above the surface and convective available potential energy in both study regions. The soil moisture – precipitation feedback is evaluated with a classification of soil moisture spatial heterogeneity based on the strength of the soil moisture gradients. This allows us to assess the impact of soil moisture anomalies on surface fluxes, moisture flux convergence, convective available potential energy and precipitation. In both regions the amount of precipitation generally increases with soil moisture spatial heterogeneity. For the Ammer region the soil moisture – precipitation feedback has a weak negative sign with more rain near drier patches while it has a positive signal for the Sissili region with more rain over wetter patches. At least for the observed moderate soil moisture values and the spatial scale of the Ammer region, the spatial variability of soil moisture is more important for surface-atmosphere interactions than the actual soil moisture content. Overall, we found that soil moisture heterogeneity can greatly affect the soil moisture – precipitation feedback.     

江苏省耕地转化为建设用地的经济学分析

江苏省建设占用耕地现象越来越严重,耕地保护面临着巨大的困难。该文利用经济学的均衡分析方法、制度分析方法及非线性动力学方法,初步探讨了耕地转化为建设用地的内在机制。边际产出的差距是耕地转化为建设用地的直接动力,目前存在的一些制度和政策降低了耕地转化为建设用地的交易成本,外资的涌入、经济的快速发展消除了资本的限制。根据其转化的内在机制提出如下建议：1)把耕地减少上升到社会问题的高度来认识;2)改变当前的征地方式;3)把耕地保护纳入政绩考核的范围;4)提高农业的产出。     

区域土地利用变化信息图谱模型研究

信息图谱为区域土地利用变化提供了一种谱系化、定量化与定位化相结合的研究方法,借助信息图谱模型探讨区域土地利用变化及其时空过程的多维性与复杂性,为土地利用变化的驱动力诊断、机理模型与预测模型的构建提供科学依据。选取吉林省长岭县为研究区,在遥感与GIS技术支持下,以土地利用时空演变模式、空间扩展过程、景观特征等为框架,建立土地利用变化信息图谱模型,对图谱方法在土地利用变化研究中的应用进行实证分析。     

区域土地资源配置与社会经济发展

文章在阐述土地资源配置与区域社会经济发展的辩证关系的基础上,分别从土地资源供给约束、资源禀赋和利用结构方面探讨了土地资源配置对区域社会经济发展的影响与制约,并对实现十六大提出的全面建设小康社会目标,从土地资源配置角度提出对策与建议。     

山东耕地动态变化与粮食总产量相关分析

文章收集1949—2000年山东省耕地、人口、粮食等资料,定量定性分析耕地的数量、质量变化与粮食产量的相关性。用SPSS中的一元线性回归法预测人口变化趋势,对粮食总产量与其影响因素进行相关分析,发现粮食单产对粮食总产量影响最大,同时耕地质量的逐年下降是粮食增产是重要的制约因素。提出外延式和内涵式开发耕地资源是增产粮食的有效途径,为解决粮食安全问题实现耕地的可持续发展提供科学决策依据。     

农地城市流转决策优化研究

农地保护与城市发展被认为是一对矛盾。农地城市流转决策应协调好二者的关系,以实现土地的可持续利用。而现行决策的片面性从某种程度上助长了农地的盲目流失,直接影响到我国土地资源的后续利用、粮食安全、生态环境等。文章从可持续利用的角度,通过对农地城市流转的选择价值和外部性的分析及评价,优化了农地城市流转决策。     

草地改良对陆地生态系统养分的影响--以福建省建瓯市牛坑龙草地生态系统试验站为例

Both land use/land cover change (LUCC) and the effects of nutrients cycles on terrestrial ecosystems and biodiversity are key environmental problems in the 21st century (Yang etal., 2002; Li, 1996; Bai and Bai, 1998). Land cover change is the accumulated result of land use, which includes three types, i.e., deterioration, transition and amelioration of land cover (Cai, 2001). The nutrient cycle is the main functional process to maintain stability and production of an ecosystem. Land cover …     

东北地区农业结构转型时期土地利用变化的成因与效应

During the last decade of the 20th century, extensive conversion in agricultural land use took place in Northeast China. The goal of this study is to ascertain its spatial distribution and regional differentiation, determine its causes, and analyze its environmental impact, Especially we attempt to elucidate how institutional constraints have facilitated the change at a time of agrarian restructuring when newly emerging free market was hybridized with the former planned economy. Information on six categories of land use was mapped from interpretation of Landsat TM images recorded in 1990,1995 and 2000. Most of land use changes took place during the first half of the decade, coinciding with abrupt and chaotic changes in government directives. Farmland was changed mainly to woodland,water body and built-up areas while woodland and grassland were converted chiefly to farmland.Spatially, the change from farmland to woodland was restricted to the west of the study area. The change from grassland to farmland took place in the grazing and farming interlocked west. These chaotic and occasionally conflicting changes were largely caused by lack of stability and consistency in agricultural land use policies promulgated. They have exerted adverse impacts on the local environment, including land degradation, increased flooding, and modified climate regime.     

徐州矿区土地利用变化遥感监测及塌陷地复垦利用研究

基于1987、1994和2000年三期TM遥感图像,将徐州矿区土地利用类型划分为建成区、耕地、林地、水体、塌陷地和其他土地等6类,编制了3个不同时段的土地利用结构变化图;提取并分析了土地利用结构转移变化的矩阵信息和土地利用结构的动态变化.研究表明:采煤塌陷土地面积在不断扩大,年均增加率为6.33%,塌陷地复垦速度仍赶不上塌陷速度.着眼于技术、规划、资金和管理等方面的综合视角,探明塌陷土地复垦的工程技术措施和对策,对于进一步加大土地复垦力度,促进矿区土地资源可持续利用,具有重要的现实意义和价值.     

土地利用变化空间模拟的进展--CLUE-S模型及其应用

土地利用变化的空间模拟是进行土地利用情景分析的重要基础。本文在介绍了国际上常用的细胞自控模型(CA)、土地利用变化及效应模型(CLUE)的基础上,重点分析了小尺度土地利用变化及效应模型(CLUE-S)的方法,并以邯郸地区为例进行了案例研究。认为CLUE-S模型采取经验模型的方法,通过建立土地利用空间分配和驱动因子之间的统计关系模拟近期土地利用变化的情景。同时也考虑了不同土地利用方式之间的竞争关系,因此可以较好地模拟小尺度地区的近期土地利用变化情景;考虑到短期或近期土地利用变化的因子主要与人类的社会经济活动有关,而社会经济因子的空间化尚存在一定难度。因此,突破这一瓶颈成为CLUE-S模型发展和应用的关键;CLUE-S模型主要解决的是不同空间尺度上的土地利用空间分配问题,在土地生产潜力评价、土地利用规划等方面具有广阔的应用前景。