兰州市农牧业源氨排放清单及其时空分布特征

通过实地调研等方式获取农牧业源的活动水平,采用NARSES模型确定氮肥施用排放因子,其它排放因子通过文献调研确定,建立了2016年兰州市农牧业源氨排放清单,并进一步分析了农牧业源氨排放的时空分布特征. 2016年兰州市农牧业源大气氨排放量为9 356. 90 t;其中畜禽养殖源氨排放量7 584. 03 t,分担率81. 05%;永登县是氨排放量最大的区县,氨排放量为2 820. 59 t,分担率为30. 14%.在兰州市各区县氨排放量分担率中,畜牧业源氨排放的分担率在65. 83%～97. 38%之间;氮肥施用源的分担率在2. 27%～28. 66%之间.从空间分布来看,兰州市农牧业源氨排放主要集中在皋兰县西北部与中部、红古区东南部、七里河区东西两部与榆中县东部.从时间分布来看,畜牧业源氨排放主要集中在4～9月,氮肥施用源的氨排放主要集中在3～7月和9月,其它月份排放量相对较小.     

中国农田土壤Cd累积分布特征及概率风险评价

通过检索2000~2022年国内外公开发表的文献资料,获得31个省240个市（县）区域160446个农田土壤样点的镉（Cd）含量数据,利用单因子污染指数、地累积指数和概率风险评价方法从整体上分析了我国农田土壤Cd污染时空分布特征及其健康风险,为农田土壤Cd污染治理和风险管控提供了科学依据.结果表明,我国农田土壤ω（Cd）范围在0.012~23.33 mg ·kg^-1,几何均值为0.473 mg ·kg^-1,是我国农用地土壤Cd风险筛选值（6.5华南>西北>东北>华东>华北;从时间尺度来看,我国农田土壤Cd含量在各时间段并无统计学意义的显著性差异（P>0.05）.我国农田土壤Cd对儿童、青年、成年人和老年人尚无非致癌风险,但其对成年人和老年人存在潜在致癌风险,约5.81%和4.49%的成年人和老年人的致癌风险超过美国环保署规定的限量值（1E-06）.为提高农田土壤Cd健康风险评价的准确性,概率生态风险评价中还需要进一步考虑土壤Cd的生物有效性和农产品的摄食暴露途径.     

论生态农业与中国农业现代化

本文首先分析了我国农业生态环境存在的一系列严重问题，潜伏着巨大的危机。继而指出造成这种现象的原因是多方面的，既有不可忽视的自然因素，更有人为作用的因素。既有历史原因，也有现实障碍。京山县生态环境建设案例的剖析再一次证明生态农业是我国农业现代化的必然选择。最后本文在分析我国生态农业建设障碍因素的基础上，提出了发展生态农业的对策措施。     

Structural Adjustment of Oasis Agriculture in Xinjiang

As a special basic economic region in China, Xinjiang is situated in the arid area in the Northwest China. Oasis agriculture is the basis of the national economy. The development of oasis agriculture helps to accelerate the development of economy, social and environment. After 50 years of practice, from 1949 to 2002, oasis agriculture in Xinjiang enhanced rapidly the scale of agricultural industry and had great changes in its structure. The amount of cultivated area rose from 120.97*102 ha t…     

回归分析综合模型在农用地定级估价中的应用

为了使农用地级别划分和基准地价评估真正统一，以黄金坪水电站水库淹没区为例，将淹没区农用地划分为119个定级估价单元，在Arcmap／info，SPSS软件技术平台上，用回归分析法建立水库淹没区农用地定级因素与纯收益之间关系的综合模型，划分农用地级别，然后用收益还原法计算各级别基准地价。结果为：估算纯收益与实际纯收益间绝对误差为0．05元／m^2，相对误差为13．85％，相关系数达0．86；一级地价23元／m^2，二级地价19元／m^2，三级地价15元／m。，四级地价12元／m^2。表明：回归分析综合模型在淹没区农用地定级估价中取得了较理想的效果，使定级估价数据资料直接共享，省去了专家确定权重的难关，适合水库淹没区农用地市场不发育的现状。     

Water Resource Management in Botswana: Balancing Sustainability and Economic Development*

Botswana is a rapidly developing country in southern Africa. Over the last three decades, diamond mining and tourism have provided double-digit rates of economic growth. Yet most of Botswana’s land is in the Kalahari desert where the climate is subject to sustained periods of severe drought. In this environment, water resources are the most crucial of all environmental resources. Water use directly affects economic development because water utilization impacts all the major national economic sectors. A sustainable water use resource management plan must stretch several decades into the future to assure the availability of adequate supplies of water to future generations while not compromising the ability of the current generation to reasonable rates of economic development. Yet thinking about sustainability is present in Botswana water policy mostly only in rhetoric. A series of cultural traditions and political constraints, coupled with bureaucratic managerial weaknesses, serve to maintain a system of water allocation that is unsustainable in the long run and inefficient in the short-term. Unless sustainable water use patterns are adopted, the results for the short-term, as well as the long-term, will be devastating. Drawing on data obtained through a series of interviews with government officials, leaders of non-governmental organizations (NGOs), and water resource researchers, this paper explores water policy in Botswana within the larger context of sustainable natural resource management practice and the pressures of economic development. This research was partially funded under U.S. Department of State, College and University Affiliations Grant # ASCS-1095.     

Introduction: Natural Capital, Poverty and Development

Can development occur without running down natural resources in an unsustainable way? The concept of natural capital offers a way for those with divergent views (ecologists and economists for example) to discuss this difficult question. Four aspects are examined in detail. First, the role of institutions in facilitating sustainable development is discussed, with examples from forestry. Then examples from (eco)tourism illustrate the potential – and limits – of applicability of the concept. Measurement issues for natural capital are then considered in detail. Finally, the concept is applied to agricultural strategy in fragile lands, where the tradeoff between the environment and development is likely to be most severe. Some implications for future research and policy are developed.     

Energy-Based Land Use Predictors of Proximal Factors and Benthic Diatom Composition in Florida Freshwater Marshes

The Landscape Development Intensity index (LDI), which is based on non-renewable energy use and integrates diverse land use activities, was compared to other measures of LU (e.g., %agriculture, %urban) to determine its ability for predicting benthic diatom composition in freshwater marshes of peninsular Florida. In this study, 70 small, isolated herbaceous marshes located along a human disturbance gradient (generally agricultural) throughout peninsular Florida were sampled for benthic diatoms and soil and water physical/chemical parameters (i.e., TP, TKN, pH, specific conductance, etc.). Landscape measures of percent agriculture, percent urban, percent natural, and LDI index values were calculated for a 100 m buffer around each site. The strongest relationships using Mantel's r statistic, which ranges from −1 to 1, were found between benthic diatom composition, the combined soil and water variables, and LDI scores (r=0.51, P<0.0001). Although similar, soil and water variables alone (r=0.45, P<0.0001) or with percent agriculture or percent natural were not as strongly correlated (both Mantel's r=0.46, P<0.0001). Little urban land use was found in the areas surrounding the study wetlands. Diatom data were clustered using flexible beta into 2 groups, and stepwise discriminant analysis identified specific conductance, followed by LDI score, soil pH, water total phosphorus, and ammonia, as cluster-separating variables. The LDI explained slightly more of the variation in species composition than either percent agriculture or percent natural, perhaps because the LDI can combine disparate land uses into a single quantitative value. However, the ecological significance of the difference between land use metrics and diatom composition is controvertible, and additional tests including more varied land uses appear warranted.     

辽东山区微型小流域“特色农业”开发──以清源县大石沟村为例

本文立足于辽东山区微型小流域的地域空间,以经营开发“特色农业”为主线,着眼于山区小流域的特产资源的培育与开发。通过资源培育和对初级产品的深加工,将山区小流域的资源优势转化为产品优势和商品优势,从而实现山区流域经济运行的良性循环。