Crop evapotranspiration in the Nile Delta under different irrigation methods

Eddy correlation measurements within the Nile Delta allowed the determination of evapotranspiration (E) for seven crops (rice, maize, cotton, sugar beet, berseem, wheat and fava beans) using basin irrigation (BI), furrow irrigation (FI), BI with increased intervals (BI_i), FI with increased intervals (FI_i), strip irrigation (SI) and drip irrigation (DI). Total E values over the cropping season for rice (BI, BI_i) were the highest (>600 mm), while those for sugar beet (DI), maize (SI and DI) and berseem (BI_i) were the lowest (<250 mm). The differences were due to a combination of atmospheric demand, soil moisture, the presence of surface standing water, root depth, and the length and timing of the cropping season. The DI and SI methods had the advantage for water saving, while the FI_i and BI_i methods were effective for crops with shallow root lengths. Estimated annual E was 566–828 mm/year (water-saving irrigation) and 875–1225 mm/year (conventional irrigation).     

Soil erosion in the Anthropocene: Research needs

Soil erosion is a geomorphological and, at the same time, a land degradation process that may cause environmental and property damage, loss of livelihoods and services as well as social and economic disruption. Erosion not only lowers soil quality on‐site, but causes also significant sediment‐related problems off‐site. Given the large number of research papers on this topic, one might therefore conclude that we know now almost everything about soil erosion and its control so that little new knowledge can be added. This conclusion can be refuted by pointing to some major research gaps. There is a need for more research attention to (1) improved understanding of both natural and anthropogenic soil erosion processes and their interactions, (2) scaling up soil erosion processes and rates in space and time, and (3) innovative techniques and strategies to prevent soil erosion or reduce erosion rates. This is illustrated with various case studies from around the world. If future research addresses these research gaps, we will (1) better understand processes and their interactions operating at a range of spatial and temporal scales, predict their rates as well as their on‐site and off‐site impacts, which is academically spoken rewarding but also crucial for better targeting erosion control measures, and (2) we will be in a better position to select the most appropriate and effective soil erosion control techniques and strategies which are highly necessary for a sustainable use of soils in the Anthropocene. Copyright © 2017 John Wiley & Sons, Ltd.     

Non-point source pollution in Indian agriculture: Estimation of nitrogen losses from rice crop using remote sensing and GIS

The paper presents a detailed understanding of nitrogenous fertilizer use in Indian agriculture and estimation of seasonal nitrogen loosses from rice crop in Indo-Gangetic plain region, the ‘food bowl’ of the Indian sub-continent. An integrated methodology was developed for quantification of different forms of nitrogen losses from rice crop using remote sensing derived inputs, field data of fertilizer application, collateral data of soil and rainfall and nitrogen loss coefficients derived from published nitrogen dynamics studies. The spatial patterns of nitrogen losses in autumn or ‘kharif’ and spring or ‘rabi’ season rice at 1 × 1 km grid were generated using image processing and GIS. The nitrogen losses through leaching in form of urea-N, ammonium-N (NH₄-N) and nitrate-N (NO₃-N) are dominant over ammonia volatilization loss. The study results indicate that nitrogen loss through leaching in kharif and rabi rice is of the order of 34.9% and 39.8% of the applied nitrogenous fertilizer in the Indo-Gangetic plain region. This study provides a significant insight to the role of nitrogenous fertilizer as a major non-point source pollutant from agriculture.     

黄河流域气候与农业种植面积变化对径流的影响

根据黄河流域1960—2005年5个水文站逐日流量、77个气象站1959—2013年逐日降水数据,结合流域内主要农作物种植面积及大型水库资料,全面探讨气候与农业面积变化及人类活动对黄河流域径流变化的影响.研究表明:黄河流域所有流量分位数总体呈下降趋势,并于1980s中后期到1990s中期发生突变.降水变化是黄河流域径流变化的主要影响因素.在考虑不同流量分位数情况下,农作物种植面积变化对不同分位数径流变化的影响也有差异性.花园口站农作物种植面积变化对径流量量级和可变性均有显著影响;其余4站各项气候变化与农作物种植指标参数较大,虽均未达到10%的显著性水平,但仍会对径流的量级变化产生影响.对唐乃亥站,农作物耕作面积的下降减少了灌溉用水,在0.5流量分位数时有高达60%增加径流量的间接作用.对于头道拐站,农作物耕作面积的增加使得流域总蒸发量增加,灌溉用水增加,在0.3流量分位数时有高达40%减少径流量的间接作用.该研究为气候变化与人类活动影响下黄河流域水资源优化配置提供重要理论依据.     

2009年冬季南海北部浮游植物粒度分级生物量和初级生产力

2009年2月在南海北部海域现场观测粒度分级叶绿素a质量浓度和初级生产力(PP)的分布。结果表明,调查海域水柱平均叶绿素a质量浓度的变化范围为0.11～8.37 mg/m³,平均为(1.28±2.23) mg/m³,高值区出现在珠江口及近岸海域;初级生产力的范围为344.8～1 222.5 mgC/(m²·d),平均为(784.2±351.4) mgC/(m²·d),高值区位于近岸及陆架海域。浮游植物粒度分级测定结果表明,在生物量较高的近岸海域,叶绿素a的粒级结构以小型浮游植物占优势,其贡献率为40.9%,微型和微微型浮游植物对总叶绿素a的贡献率分别为34.6%和24.5%;而在生物量较低的陆坡和开阔海域,各粒级浮游植物对叶绿素a的贡献率由大到小依次为微微型浮游植物(78.9%),微型浮游植物(17.2%)和小型浮游植物(3.9%)。相关性分析结果表明,调查海域分级叶绿素a的区域化分布特征与洋流运动下营养盐的分布密切相关,同时叶绿素a又高度影响着此区域PP的分布。此外,我们将调查海域实测所得浮游植物最佳光合作用速率与采用垂向归一化初级生产力模型估算的数据进行对比,发现后者明显低于前者,这说明通过水温估算最佳光合作用速率的算法在冬季南海北部可能存在低估。     

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。     

Fe、Mn、Cu在锡林河流域温带草原植被中的含量特征

本文研究了Fe、Mn、Cu三个同周期的植物营养元素在内蒙古锡林河流域三个主要草原群落植被中的含量特征,研究表明:三个元素在凋落物及根系中的含量较高,在立枯中较低,在活体中最低;沿降水、气温和海拔梯度,活体、凋落物中的含量按贝加尔针茅草原、羊草草原、大针茅草原递减,Cu例外,在植物生长末期是递增的;立枯中的元素含量在生长初期递增,在后期递减,Cu也例外,初期和后期都是递增的;在植物系统各组成部分中,生长初期三个元素的含量要高于生长后期;地上部植物体分解程度越高,三个元素的含量也越高;Cu强烈富集于根系中;土壤及降水分别是影响植物元素含量及植物分解的重要因子;三个元素在各草原群落地上部活体中的含量都能够满足牲畜的需要。     

高原地区农作物水热指标与特点的研究进展

通过对作物农业气象条件鉴定、作物农业气象试验研究、作物生态气候适应性分析和作物农业气候区划以及农业气象灾害调查记载对比评估分析等手段, 整理和总结了髙原地区7种粮食作物、6种经济作物、6种特色作物、7种瓜果作物和4种中药材等共计30种农作物水热指标以及冬小麦和春小麦土壤水分指标. 高原地区作物水热指标具有4个明显特点, 釆用不同积温界限值来确定不同作物属性热量指标, 喜凉、中性、喜温和喜热作物分別釆用≥0 ℃、≥5 ℃、≥10 ℃和≥15 ℃积温界限值作热量指标. 不同温度带作物适宜的热量指标差异明显, 有随温度带愈冷凉作物热量指标呈偏低的趋势. 不同水分气候区作物水分指标差异较大, 有随湿润度增加作物水分指标呈递减的趋势. 作物水热指标随气候变化而发生缓慢变化, 气候变暖使作物全生长期延长, 对同一熟性品种而言, 需要热量指标比变暖前有提高趋势; 气候变干使作物水分指标有增加趋势. 农作物水热指标是衡量作物适生种植的重要标准, 是引种、作物布局、栽培管理、髙产优质安全生产的重要科学依据, 是气象为农业服务必不可少的基础资料, 也是服务工作的前提.     

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.     

基于统计模型识别气候变化对农业产量贡献的研究进展

从统计模型与作物机理模型的区别与联系出发, 介绍了识别气候变化对农业产量贡献的3 种主要统计模型, 即时间序列模型、截面模型和面板模型;综述了前人在站点和区域(全球、国家、省级、地区、县级) 尺度对这一问题的研究进展;总结了应用统计模型识别农业产量对气候变化响应敏感性的4 个主要问题, 包括时空尺度问题、产量的非气候趋势去除问题、气候要素间的自相关问题和忽略适应措施的问题;最后针对以上主要问题, 提出了改进建议及今后研究的发展趋势。