山区合适耕地经营规模确定的实证研究——以重庆市为例

在地形起伏、地块破碎、分布半径较远等约束下,山区多大的经营规模是合适的?这是目前必须弄清的科学问题之一。使用480份有效调查问卷,以投入农业的劳动力为测算单位,以劳均纯收入为评价指标,分作物类型和地块分布半径,构建计量经济模型,测算不同条件下合适的耕地经营,结果表明：① 在现有社会经济条件下,样本村农业土地适度规模经营面积为24~32亩,适度规模下的劳均纯收入远高于当前农村人均纯收入,且与城镇居民的差距明显缩小。② 作物类型对适度规模影响不大,但对农民纯收入产生较大作用。经济作物和粮食作物的适度规模分别为24.33亩、24.63亩,差异不显著,但种植经济作物和粮食作物在适度规模下的劳均纯收入相差3638元,巨大的差距将促使经济作物种植面积不断扩大。③ 距离对适度规模影响较大,但对劳均纯收入影响不大。0.5 km内、0.5~1 km的适度规模分别为28.62亩、31.83亩,单位劳动力的适度规模相差3亩,这表明距离是目前从事农业生产时劳动力投入时须考虑的重要因素。但是,对应的劳均纯收入相差较小,又说明伴随耕作距离的增加,更多的投入主要依靠机械来完成,从而带动适度规模的扩大。1 km外的建模未通过检验,也进一步说明未实现规模经营、没有进行机械化耕作、离家远的土地收支严重不平衡,撂荒严重,规模化经营、机械化耕作是解决距离问题的有效途径。本文得出的土地适度规模是可行的,也验证了推进土地适度规模经营的可行性和必要性。     

Fauna and standing crop of freshwater mussels in Poyang Lake, China

Freshwater mussels are a major component of the zoobenthos and they therefore play an important role in freshwater ecosystems. The community composition and the standing crop of freshwater mussels in Poyang Lake, the largest freshwater lake in China and one of two lakes connected to the Changjiang (Yangtze) River, were investigated from February 2008 to May 2009. Mussels were sampled in hydrologically and geographically distinct sampling areas. A total of 42 species and 13 genera were identified, of which 32 species were endemic to China. Two species, Unio douglasiae and Lamprotula caveata, dominated all sampling areas. The number of genera and species, and the number of species within each genus, differed significantly among sampling areas. Freshwater mussels were very abundant, with an overall density of 0.28 ± 0.22 ind./m2 and biomass of 4.08 ± 3.96 g/m2. Significant variation observed among sampling areas and among genera was probably due to the variety of habitats among the areas sampled and to the adaptability of different freshwater mussels to environments. This study suggests that Poyang Lake and other freshwater lakes in the region are important sites of freshwater mussel biodiversity and conservation.     

Impact of the shrinking winter wheat sown area on agricultural water consumption in the Hebei Plain简

This study firstly analyzed the shrinkage of winter wheat and the changes of crop- ping systems in the Hebei Plain from 1998 to 2010 based on the agricultural statistic data of 11 cities and meteorological data, including daily temperature, precipitation, water vapor, wind speed and minimum relative humidity data from 22 meteorological stations, and then calcu- lated the water deficit and irrigation water resources required by different cropping systems, as well as the irrigation water resources conserved as a result of cropping system changes, using crop coefficient method and every ten-day effective precipitation estimation method. The results are as follows. 1） The sown areas of winter wheat in the 11 cities in the Hebei Plain all shrunk during the study period. The shrinkage rate was 16.07% and the total shrinkage area amounted to 49.62×10^4 ha. The shrinkage was most serious in the Bei- jing-Tianjin-Tangshan metropolitan agglomerate, with a shrinkage rate of 47.23%. 2） The precipitation fill rate of winter wheat was only 20%-30%, while those of spring maize and summer maize both exceeded 50%. The irrigation water resources demanded by the winter wheat-summer maize double cropping system ranged from 400 mm to 530 mm, while those demanded by the spring maize single cropping system ranged only from 160 mm to 210 ram. 3） The water resources conserved as a result of the winter wheat sown area shrinkage during the study period were about 15.96×10^8 m^3/a, accounting for 27.85% of those provided for Beijing, Tianjin and Hebei by the first phase of the Mid-Route of the South-to-North Water Diversion Project.     

Biogeography and Genetic Diversity of Pearl Millet (Pennisetum glaucum) from Sahelian Africa

Sahelian Africa makes up the native range of pearl millet and the impact of domestication on the genetic diversity of wild, intermediate, and cultivated subspecies is still poorly understood. Wild populations are known to spontaneously germinate throughout this range and hybridize with cultivated material. To investigate genetic structure, populations of pearl millet from several African countries were analyzed at the morphological and molecular levels for diversity. Results demonstrate how little differentiation there is between subspecies and populations. It appears that pearl millet throughout the Sahel remains a metapopulation with large hybrid zones. These results have important implications for conservation of pearl millet.     

松嫩平原西部典型农田需水规律研究

采用联合国粮农组织最新推荐的模型方法(FAO56),利用近10年的日气象资料对松嫩平原西部玉米、大豆、高粱等作物近10年的农田逐日需水量进行了系统研究。得出了本区不同作物的需水规律,并根据当地的有效降雨量,获得了不同作物不同时段的水分亏缺规律,为节水灌溉和提高作物产量提供科学依据。     

宁夏固原地区山坡地的水分再分配与退耕还林问题

宁夏固原地区是我国水土流失最为严重的地区之一。在进行坡耕地退耕还林还草时,应根据土壤的物理特性和山坡地水分再分配的特点,在山顶和山坡,建立以灌木和草类植物为主组成的人工植被;在水分条件较好的沟谷地带,适量建立一定面积以乔木为主的植被。     

延津沙地间套复种四熟栽培模式研究

根据小麦、西瓜、花生、玉米的不同生育特性,合理选用不同熟期的品种,安排空间和生育期调控,提出了小麦西瓜花生玉米四熟的间套复种栽培模式,并对模式的基本原理、主要栽培技术和经济效益加以分析和总结。     

遥感物候学研究进展

植物物候现象是环境条件季节和年际变化最直观、最敏感的生物指示器,其发生时间可以反映陆地生态系统对气候变化的快速响应.近年来,遥感物候观测因其具有多时相、覆盖范围广、空间连续、时间序列较长等特点,已成为揭示植被动态对全球气候变化响应与反馈的重要手段.文章在介绍植物物候遥感监测的数据集及其预处理方法的基础上.从植物物候生长季节的划分、植物物候与气候变化、植物物候与净初级生产量、植物物候与土地覆盖、植物物候与农作物估产等方面系统阐述了近5年来国内外遥感物候学研究的重要进展,并针对目前研究中存在的问题,提出近期遥感物候研究的主要方向:(1)发展一种更具普适性的物候生长季节划分方法;(2)通过开展植物群落的物候观测和选择合适的尺度转换方法,统一地面与遥感的空间信息;(3)定量分析植物物候变化对人类活动的响应机制;(4)选择适宜的数学方法和模型,实现各种不同分辨率遥感数据的融合;(5)通过动态模拟,预测植物物候对未来气候变化的响应.     

基于作物生长期的江苏省沿海地区气候生产潜力估算

江苏沿海地区是中国重要的耕地后备资源基地之一,气候生产潜力能够反映该地区粮食安全保障能力大小。考虑作物不同生长期光温水协调程度,对现有气候生产潜力模型基于作物生长期进一步改进,估算江苏沿海地区14个县市三大粮食作物气候生产潜力。结果表明：基于作物生长期的气候生产潜力模型具有可行性。江苏省沿海地区水稻和小麦作物气候生产潜力受太阳有效辐射、温度和降水因素共同影响;玉米气候生产潜力主要受太阳有效辐射和温度影响,不受降水因素限制。从地域分布特征看,江苏沿海地区水稻和玉米气候生产潜力南北方向呈现梯度递增规律;小麦气候生产潜力南北方向差异不大。     

ASSESSING THE SUITABILITY OF THE EPIC CROP MODEL FOR USE IN THE STUDY OF IMPACTS OF CLIMATE VARIABILITY AND CLIMATE CHANGE IN WEST AFRICA

The EPIC (Erosion Productivity Impact Calculator) crop model, developed by scientists of the United States Department of Agriculture (USDA), has been successfully applied to the study of erosion, water pollution, crop growth and production in the US but is yet to be introduced for serious research purposes in other countries or regions. This paper reports on the applicability of the EPIC 8120 crop model for the assessment of the potential impacts of climate variability and climate change on crop productivity in sub‐Saharan West Africa, using Nigeria as the case study. Among the crops whose productivity has been successfully simulated with this model are five of West Africa's staple food crops: maize, millet, sorghum (guinea corn), rice and cassava. Thus, using the model, the sensitivities of maize, sorghum and millet to seasonal rainfall were demonstrated with coefficients of correlation significant at over 98 per cent confidence limits. The validation tests were based on a comparison of the observed and the model‐generated yields of rice and maize. The main problems of validation relate to the multiplicity of crop varieties with contrasting performances under similar field conditions. There are also the difficulties in representing micro‐environments in the model. Thus, some gaps appear between the observed and the simulated yields, arising from data or model deficiencies, or both. Based on the results of the sensitivity and validation tests, the EPIC crop model could be satisfactorily employed in assessing the impacts of and adaptations to climate variability and climate change. Its use for the estimation of production and the assessment of vulnerabilities need to be pursued with further field surveys and field experimentation.