避洪耐涝生态农业的发展方向与思路——洞庭湖退田还湖区案例研究

在退田还湖区发展避洪耐涝生态农业，是提高移民收入、脱贫致富奔小康、提高移民安置质量和拓展安置容量的重要途径。根据洞庭湖区的农业优势和退田还湖区发展高效生态农业的基础和条件，将其发展的总体方向确定为实现避洪耐涝高效特色生态农业产业化。其基本思路是：（1）双退垸行洪区面对洪水渍水重点发展耐涝性强的水生蔬菜、水生饲料及特种名优渔类产业；（2）单退垸区避开洪水重点发展粮油、林草、畜牧业等主导产业；面对洪水、渍水发展耐涝性强的水禽和特种水产养殖业；（3）蓄洪垸区避开特大洪水大力发展粮食、经济作物，突出发展草食牧畜业，积极发展水禽和特种渔类养殖业。通过发展差异性的避洪耐涝生态农业，建设具有支柱产业链特色的粮油生产基地、畜禽生产基地、林木、蔬菜生产基地，特种水产养殖基地，最终实现高效生态农业产业化。     

Sustainable Agriculture is Humane,Humane Agriculture is Sustainable

Procedures that increase the sustainability of agriculture often result in animals being treated more humanely:both livestock in animal and mixed farming and wildlife in arable farming. Equally, procedures ensuring humane treatment of farm animals often increase sustainability, for example in disease control and manure management. This overlap between sustainability and humaneness is not coincidental. Both approaches can be said to be animal centered, to be based on the fact that animal production is primarily a biological process. Proponents of both will gain from recognition of commonality and development of cooperation. A collaborative approach to humane sustainable agriculture will benefit animals, people, and the environment.     

关于提高秦皇岛市农业可持续发展能力的对策思考

2004年,秦皇岛市的农业开始走出连续五年徘徊不前的影阴,呈现出了良好的发展势头.但是,农业的综合生产能力并没有根本改观,农业增长的不稳定性依然存在.本文分析了制约秦皇岛市农业可持续发展的因素,提出了提高秦皇岛市农业可持续发展能力的对策.     

Natural resources assessment in the Okavango Delta, Botswana: Case studies of some key resources

This article makes an assessment of the following key natural resources in the Okavango Delta: arable land, basket-making resources, fish stocks, and river reeds. Non-data-intensive socio-economic indicators (as opposed to conventional data-intensive indicators) of trends in resource prices, trends in labour time for resource extraction, substitution of less preferred commodities, maximum sustainable yield and perceived scarcity were utilized to assess the scarcity of the resources. The study reveals that basket-weaving resources, land for flood recession arable (molapo) agriculture, and river reeds are increasingly becoming scarce in the harvesting areas, whereas fish stocks are still abundant. It is recommended that appropriate policies should be introduced for the management of natural resources. Property rights could be granted to communities to manage natural resources such as fish and veld products in line with the wildlife model for community based natural resources management (CBNRM). In addition, the authors suggest that the Government of Botswana should take the responsibility for allocating land for molapo arable farming in order to make it more accessible.     

RISK IN IRRIGATION WATER SUPPLY AND THE EFFECTS ON FOOD PRODUCTION1

ABSTRACT: This paper examines irrigation water supply deficit and associated risk indicators due to random climate events and potential effects on irrigated food production during the period 1996 to 2025 for seven river basins in the USA, China, and India. An integrated water and food model with global scope is applied for the analysis. The global climate regime during 1961 to 1990 is used to generate 30 climatic scenarios for the time period 1996 to 2025, and these scenarios are applied to the model in order to characterize the randomness of precipitation, runoff, and evapotranspiration, which affects both irrigation water supply and demand. The risk with random climate events is represented by reliability, variability, and vulnerability from different perspectives. Regarding irrigation water supply, Colorado will bear an increasingly unstable situation although the average water supply relative to the demand will maintain at a relatively high level; selected basins in China and India indicate that significantly lower levels of reliability and more deleterious affects from drought can be expected, but under a less variable condition due to assumed water storage increase. From 1996 to 2025, the effects of water deficits on irrigated food production are characterized with a nonlinear phenomenon and food production loss will be more sensitive to irrigation water supply deficit in the future. Future work following this paper needs to consider the impact of global climate change and the water quality of the irrigation return flow and result verification by local studies.     

A WATER QUALITY MODEL FOR A CONJUNCTIVE SURFACE-GROUNDWATER SYSTEM: AN OVERVIEW1

ABSTRACT. A mathematical model to predict water quality in a surface-groundwater system is under development. This project is being sponsored by the Environmental Protection Agency. The ultimate goal of this study is to obtain cause and effect relationships between pollutant sources and the ensuing concentrations at different locations in a basin. Several programs are used to model the various hydrologic processes occurring in nature, namely: rainfall, runoff, flow in surface bodies of water, infiltration, and groundwater flow. At every time step in the simulation, the water quantity computations for the above hydrologic models are performed first. Subsequently, the results of these computations, typically in the form of flow velocities, are used as input to the water quality calculations. The water quality routines involve the modeling of the associated physical, chemical, and biological processes. In this study, emphasis is being placed on pollution in agricultural areas. Accordingly the Lake Apopka basin in Central Florida is being used as the application site.     

STRUCTURAL EQUATION MODELING OF DYNAMICS OF NITRATE CONTAMINATION IN GROUND WATER1

ABSTRACT: Most research on the temporal aspect of nitrate pollution in water resources has focused on surface water. Comprehensive studies on the dynamics of nitrate in ground water are lacking, especially on a drainage basin scale and for relatively long periods of time. In this study, structural equation modeling is applied in investigating the influences of climate, hydrology, and nitrogen management in agricultural production on nitrate concentration in the Big Spring Basin, Iowa, over a 10-year period. The study shows that for given hydrogeological settings, nitrogen management practices and climate are the two most important factors that affect nitrate dynamics. The long-term trend of nitrate is closely related to the nitrogen input primarily determined by management practices. The potential effects of nitrogen management, however, are contingent on the variations of climate. The improvements in water quality (reduced nitrate concentration and loads) in relation to improved nitrogen management are often overshadowed by the impact of climate, especially in extremely dry or wet years. The variations of climate and hydrology have much greater impacts on the nitrate dynamics than the changes in nitrogen input. This study reveals significant seasonal variation in the relations between nitrate concentration and influencing factors, which is also closely related to the seasonal variation in climate. Assessment of management practices and resultant water quality should consider the impact of short- and long-term climate dynamics.     

中国农业雹灾灾情及其季节分区

根据中国雹灾灾情数据库资料,中国雹灾受灾、成灾面积均呈下降趋势,但成灾率仍呈上升趋势。雹灾季节变化明显,春夏为全国降雹的主要时段,4～9月出现的冰雹次数约占全年总次数的92.3%。降雹与成灾在空间分布上有明显的差异,成灾中心集中在黄淮海平原及江南丘陵地区。本文基于县级雹灾季节类型图和农业综合区划图,采用"自上而下"和"自下而上"相结合的方法对雹灾进行了季节分区,将全国分为5个雹灾类型大区:夏季型(I)、春末夏初-夏季型(II)、春末夏初-双峰型(III)、春季型(IV)、夏季-双峰型(V),以及16个二级雹灾亚区,28个三级雹灾区。     

1997/1998厄尔尼诺与江苏气象灾害及对农业影响的分析

１９９７／１９９８厄尔尼诺事件在１９９７～１９９８年冬春给江苏省带来严重气象灾害， 导致三麦、油菜减产近３成。夏季长江出现仅次于１９５４年的全流域性特大洪涝， 形势十分严峻。本文以大量翔实的数据与灾情资料， 分析了厄尔尼诺与江苏气象灾害的密切关系， 提请人们关注厄尔尼诺， 预防气象灾害。