高分辨率遥感影像的土地利用分类

高分辨率遥感影像在我国土地利用动态监测中展现出良好的应用前景,但与此相关的关键技术问题亟待解决.结合Ikonos影像,分析高分辨率遥感影像的特点,并在我国土地利用现状类型划分的基础上,针对高分辨遥感影像土地利用分类这一关键技术问题,概述常规分类方法,提出一套适宜高分辨率遥感影像土地利用分类的技术路线.     

Impact of Land Use on Soluble Organic Nitrogen in Soil

Although it has been hypothesized that soluble organic nitrogen (SON) plays a central role in regulating productivity in some terrestrial ecosystems, the factors controlling the size of the SON pool in soil remain poorly understood. Therefore our principal aim in this work was to assess the impact of seven different land use systems (rough and managed grassland, deciduous and coniferous woodland, heathland, wetland and tilled land) on the size of the SON and inorganic N (NO ₃ ^– , NH ₄ ⁺ ) pools in the surface soil layer (0–15 cm). After extraction with deionised water, we found that in most cases the size of the water extractable organic N (WEON) pool was similar in size to the inorganic N pool. In contrast, the KCl extractable organic N (KClEON) pool constituted the dominant form of soluble N in soils under all land uses, perhaps indicating that significant amounts were held on the soil exchange phase. In contrast to inorganic N, which varied significantly with land use, the size of the KClEON and WEON pool was similar for all land uses with the exception of KClEON in tilled land, where significantly lower amounts were observed. We conclude that SON constitutes an important soil N pool in a broad range of land uses, and that its role in microbial N assimilation, plant nutrition and ecosystem responses to atmospheric N deposition warrants further attention. SAFRD, University of Newcastle, Newcastle-upon-Tyne, NE1 7RU, U.K.     

葛藤的饲用价值及其在攀西地区畜牧业中的应用

葛藤的根、茎、枝、叶不但富含蛋白质、碳水化合物等易消化吸收的营养物质,而且还具有防治动物疾病的作用,是饲药合用、牲畜和家禽喜食的优质牧草和饲料.研究了葛藤的饲用价值和饲用方法,提出了在攀西地区畜牧业中的应用建议.     

作物秸秆资源的利用及其影响因素--以山西省夏县为例

作物秸秆资源的利用对提高食物安全,减轻环境污染,促进农业可持续发展具有重要意义.通过对农户的调查,分析了山西省夏县的秸秆利用途径,对该县秸秆利用现状进行了评价,并分析了造成这种现状的原因.结果表明,夏县作为典型的"小麦-玉米"二熟农作区,秸秆利用效率较高,其中小麦秸秆主要用于工业原料、饲料和还田,玉米秸秆则主要用于饲料和弃置堆放.这种利用方式与造纸业发展、传统的牲畜饲喂方式、农业机械化发展和气候特点有关.最后提出了进一步高效利用秸秆资源的建议.     

惠州市陈江镇土地定级暨基准地价评估与成果分析

2002年,陈江镇划归惠州市城区管辖,行政区划的改变给该镇的土地价格带来了明显变化.介绍了陈江镇土地定级与估价过程中资料的收集、评估参数的确定、估价技术方法的选择和土地定级的估价.在对比前后工业、商业、住宅用地的价格后,重点从级别范围的变动、地价体系的变化和地价水平三个方面详细分析了陈江镇的基准地价在行政区域变化前后土地价格变化的原因,并对基准地价与原惠州城区地价体系的衔接作了具体分析.     

生物降解高分子材料的研究现状及应用前景

目前,处理高分子材料的一些传统方法,如焚烧法、掩埋法、熔融共混挤出法、回收利用等都存在一定的缺陷和局限性,给环境保护带来严重的困难。因此,开发环境可接受的降解性高分子材料是解决环境污染的重要途径。生物降解高分子是指通过自然界或添加的微生物的化学作用,将高分子物质分解成小分子化合物,再进入自然的循环过程。论述了生物降解高分子材料的研究现状,并对生物降解高分子材料的降解机理、影响因素及其在医学、农业、包装业和其他领域的潜在应用前景进行了探讨。     

Impact of Human Activities on Carbon Dioxide (CO<Subscript>2</Subscript>) Emissions: A Statistical Analysis

Summary The balance of evidence suggests a perceptible human influence on global ecosystems. Human activities are affecting the global ecosystem, some directly and some indirectly. If researchers could clarify the extent to which specific human activities affect global ecosystems, they would be in a much better position to suggest strategies for mitigating against the worst disturbances. Sophisticated statistical analysis can help in interpreting the influence of specific human activities on global ecosystems more carefully. This study aims at identifying significant or influential human activities (i.e. factors) on CO₂ emissions using statistical analyses. The study was conducted for two cases: (i) developed countries and (ii) developing countries. In developed countries, this study identified three influential human activities for CO₂ emissions: (i) combustion of fossil fuels, (ii) population pressure on natural and terrestrial ecosystems, and (iii) land use change. In developing countries, the significant human activities causing an upsurge of CO₂ emissions are: (i) combustion of fossil fuels, (ii) terrestrial ecosystem strength and (iii) land use change. Among these factors, combustion of fossil fuels is the most influential human activity for CO₂ emissions both in developed and developing countries. Regression analysis based on the factor scores indicated that combustion of fossil fuels has significant positive influence on CO₂ emissions in both developed and developing countries. Terrestrial ecosystem strength has a significant negative influence on CO₂ emissions. Land use change and CO₂ emissions are positively related, although regression analysis showed that the influence of land use change on CO₂ emissions was still insignificant. It is anticipated, from the findings of this study, that CO₂ emissions can be reduced by reducing fossil-fuel consumption and switching to alternative energy sources, preserving exiting forests, planting trees on abandoned and degraded forest lands, or by planting trees by social/agroforestry on agricultural lands.     

Quantifying forest fragmentation spatial process in the developing State of Selangor,peninsular Malaysia

Forest fragmentation has several phases; thus, the ecological significance of each phase during a particular period of time must be interpreted. To interpret, this study quantifies the magnitude of forest loss and the changes in the temporal pattern of fragmentation in the State of Selangor, peninsular Malaysia. Using the decision tree model of land transformation, five phases of forest fragmentation were identified: perforation, dissection, dissipation, shrinkage and attrition. This analysis showed that the magnitude of forest loss was the highest during the dissipation phase. The patchiness analysis showed that dissipation contributes to the highest environmental uncertainty found for the forest patches. This study can be considered a first step in the exploration of the properties and the behavioural pattern shown by the spatial process of forest fragmentation.     

Effectiveness of conservation easements in agricultural regions

Conservation easements are a standard technique for preventing habitat loss, particularly in agricultural regions with extensive cropland cultivation, yet little is known about their effectiveness. I developed a spatial econometric approach to propensity‐score matching and used the approach to estimate the amount of habitat loss prevented by a grassland conservation easement program of the U.S. federal government. I used a spatial autoregressive probit model to predict tract enrollment in the easement program as of 2001 based on tract agricultural suitability, habitat quality, and spatial interactions among neighboring tracts. Using the predicted values from the model, I matched enrolled tracts with similar unenrolled tracts to form a treatment group and a control group. To measure the program's impact on subsequent grassland loss, I estimated cropland cultivation rates for both groups in 2014 with a second spatial probit model. Between 2001 and 2014, approximately 14.9% of control tracts were cultivated and 0.3% of treated tracts were cultivated. Therefore, approximately 14.6% of the protected land would have been cultivated in the absence of the program. My results demonstrate that conservation easements can significantly reduce habitat loss in agricultural regions; however, the enrollment of tracts with low cropland suitability may constrain the amount of habitat loss they prevent. My results also show that spatial econometric models can improve the validity of control groups and thereby strengthen causal inferences about program effectiveness in situations when spatial interactions influence conservation decisions.