气候变化下长江中下游水稻灌溉需水量时空变化特征

选择长江中下游单季中稻为研究对象,结合45个气象站1961~2010年逐日气象资料,基于统计降尺度模型(SDSM),生成HadCM3气候模式A2和B2两种情景下各站点参考作物腾发量和降水数据。基于联合国粮食及农业组织(FAO)推荐的作物系数法,并考虑有效性降雨和不同地区深层渗漏量,分析历史和未来的水稻灌溉需水时空变化特征。结果表明:过去50年,除了太湖流域以外的长江中下游大部分区域的参考作物腾发量和水稻需水量都呈显著下降趋势,而显著下降的水稻灌溉需水量主要位于鄱阳湖流域;未来两种情景下,参考作物腾发量、水稻需水量和水稻灌溉需水量均值都呈下降趋势,但水稻灌溉需水量降幅最小;水稻需水量和水稻灌溉需水量在长江中下游地区的变化趋势具有明显的空间异质性,水稻需水量大幅减少的区域由太湖流域向汉江和洞庭湖流域扩展。未来水稻灌溉需水量减少的区域主要分布在太湖流域、汉江流域东部和洞庭湖流域北部,并随时间推移呈扩大趋势。     

商末气候变化对于稻作农业的影响——基于济南大辛庄、刘家庄遗址商代植物遗存观察

气候变化影响着农作物的生长。文章通过对比济南大辛庄遗址中、晚商时期的植物遗存和济南刘家庄遗址商末周初的植物遗存,发现两个遗址主要农作物均包括粟(Setaria italica (L.)Beauv.)、黍(Panicum miliaceum L.)、大豆(Glycine max(L.)Merr.)和小麦(Ttiticum aestivum L.),大辛庄遗址水稻(Oryza sativa L.)绝对数量较多,但刘家庄遗址未发现水稻。综合本地区其他遗址的植物考古研究结果,可以发现山东地区岳石文化时期、商代水稻仍是主要粮食作物之一,但到商末周初水稻数量急剧减少。同时,邻近的中原地区和关中地区,多处商周时期遗址水稻种植也普遍出现萎缩。多项地质记录表明,商末(3000 a B.P.前后)东亚夏季风快速减弱,降水量显著下降。山东地区受东亚季风影响,这一时期降水量减少,难以保证稻作农业所需的持续充足的水源,从而影响到水稻产量和种植规模。因此,商末气候变化很可能是刘家庄遗址商末周初水稻缺失以及山东地区商末周初水稻数量骤降的主要原因之一,也同时影响到整个黄河中下游这一时期的稻作农业。     

气候变化对中国农业温度阈值影响研究及其不确定性分析

气候变化影响的温度阈值已经成为国际谈判的焦点问题。利用区域气候模式和作物模型相连接的方法，在50 km×50 km的网格尺度上模拟了IPCC (International Panel of Climate Change) SRES (Special Report on Emissions Scenarios) A2和B2情景下2011—2040年、2041—2070年和2071—2100年我国3种主要粮食作物（水稻、小麦和玉米）的平均单产变化情景，结合同时段的中国地区温度升高状况分析了造成我国主要粮食作物产量持续下降的升温阈值，并对阈值研究中的不确定性进行了初步分析。结果表明：如果同时考虑升温和CO2的肥效作用对作物的影响，目前预测的气温升高范围（0.9～3.9℃）中将不存在威胁我国粮食生产的温度阈值；而如果仅考虑升温对作物的影响时，全国平均温度升高2℃以后，将导致我国粮食单产水平的持续下降，威胁未来的粮食生产；气候变化适应措施如充分灌溉、播种期的调整和品种更替对阈值的确定有一定的影响，如单考虑充分灌溉可以使上述升温阈值延后到2.5℃左右，而播种期的调整和品种的更替也会对产量和产量变率造成一定的影响，进而调整温度阈值；目前研究的不确定性主要来源于情景、方法和适应措施3个方面。     

气候适宜度国内外研究进展及展望

简要概述了国外在气候适宜度方面的研究现状,回顾了我国在气候适宜度方面的研究历程,将气候适宜度研究划分为3个阶段:研究的起步阶段、初步发展应用阶段及应用研究升温阶段。从气候适宜度模型的改进、气候适宜度应用的延伸及气候适宜度模型的发展3个方面介绍了我国在气候适宜度方面的主要成果和进展;从气候变化对农业的影响角度及气候适宜度研究存在的薄弱环节等方面,提出立足作物生长模型的气候适宜度模型研究、立足特色农业的气候适宜度研究、立足气候变化的气候适宜度研究、立足不同理论的气候适宜度模型研究和气候适宜度评价指标研究等方面将是未来气候适宜度研究的重点和热点。     

中国全新世气候适宜期东亚夏季风时空变迁

本文据湖面、花粉和风成堆积等地质资料，分析１２０００年以来主要由夏季风决定的降水或湿度状况的时空分布，并运用数值模拟结果计算夏季(７月)降水增量、有效降水和季风强度指数。两者的结果一致表明，全新世适宜期有效降水增量的峰值在中国中、东部具有明显的穿时性，即以东亚夏季风降水或有效湿度为标志的全新世气候适宜期盛期在各地的出现时间并不相同，东北、西北和华北三区偏早，长江中下游区稍晚，华南区最晚，而西南区又偏早。作者对导致这种穿时性的轨道驱动力和季风锋面移动的机理进行了初步分析，对于尚待深入研究的问题也有简要讨论。     

作物模拟技术在气候变化对农业生产影响研究中的应用

近 2 0年来 ,作物模拟技术的高度发展为定量研究气候变化对农业生产的影响开辟了一条新途径。作物模拟模型分为经验模型 (又称 (统计 )回归模型、描述性模型 )和机理模型 (又称动力学模型、解释性模型 )。与利用回归分析、相关分析等统计学方法确定合适的指标来描述气候变化与作物产量或其他生育状况关系 (如温度与产量的关系 )的经验模型不同 ,机理模型是针对农作物生理生长特性发展起来的 ,能够动态地模拟作物的生长发育和产量形成过程 ,较准确地表达作物生长与气候因子变化之间的关系 ,并可以通过可控因子 (施肥、灌溉 )来调节作物的生长…     

长江中下游水沙数值模拟研究

根据长江中下游水沙运动特征,采用水动力学、河流动力学和数值模拟技术相结合的技术途径,建立了一、二维混合的非恒定流非均匀沙非平衡输沙的数学模拟模型,对长江中下游干流、河网区和洞庭湖水沙运动及其河床变形进行了数值模拟,并在水沙模拟的范围内着重对河网区内水沙动边界的处理、河网汊点分流分沙计算模式、动床阻力和河湖交换模式等问题进行了讨论,提出了解决问题的途径和技术处理方法.为了验证模型的适应性和有效性,采用1981年至1989年10年长江中下游水文资料对所建模型进行了检验,模拟结果较好地反映了长江中下游干流、河网区和洞庭湖水沙输运特征和河道冲淤的宏观效应.     

长江中下游成矿带庐枞矿集区新发现钨多金属矿床

庐枞矿集区是长江中下游成矿带内重要的铁铜矿集区,产出一系列典型的玢岩型铁矿床和斑岩型铜矿床。最近在庐枞矿集区北部东顾山地区,首次发现了钨多金属矿床,这是在长江中下游成矿带长江以北首次发现的钨矿化,为矽卡岩型。钨矿化主要呈浸染状或脉状产于东顾山岩体(黑云母花岗岩)与奥陶系(白云质灰岩)的接触带或大理岩层间破碎带中。矿石矿物主要为白钨矿及钼、铜、铅锌硫化物。钨矿化主要发育在华南地区,近年来在长江中下游成矿带的过渡带及以南的扬子地块如江南隆起等地发现多个新的大型钨矿床,但在长江以北地区一直未曾发现。庐枞矿集区北部东顾山钨矿床的发现,指明长江中下游成矿带燕山期除铁、铜大规模成矿作用以外,也有钨的成矿作用,指示该区具有良好的钨矿找矿前景。在长江中下游成矿带的其他矿集区要重视和加强钨矿化的成矿作用研究和找矿工作。     

中国主要江河径流变化成因定量分析

变化环境下中国主要江河实测径流量发生了较为明显的变化,科学理清径流变化原因是流域水资源评价和管理的重要基础工作。基于中国七大江河代表性水文站1956-2018年的实测径流量资料,诊断了变化环境下水文序列的变异性特征;采用水文模拟途径,定量评估了不同驱动要素对径流变化的影响。结果表明:①淮河、长江和珠江实测径流量变异性特征不明显,相比而言,北方主要江河实测年径流量系列存在较为明显的突变性,但最显著的变异点发生时间存在差异,变异前后降水径流关系发生较大变化。②RCCC-WBM模型能够较好模拟中国南方湿润区和北方干旱区江河天然径流量过程,该模型可以用来还原人类活动影响期间的天然径流量。③总体来看,人类活动对中国北方江河径流量的影响大于气候变化的影响,气候变化是中国淮河及其以南江河径流变化的主要原因。     

中国主要江河径流变化成因定量分析

变化环境下中国主要江河实测径流量发生了较为明显的变化，科学理清径流变化原因是流域水资源评价和管理的重要基础工作。基于中国七大江河代表性水文站1956—2018年的实测径流量资料，诊断了变化环境下水文序列的变异性特征；采用水文模拟途径，定量评估了不同驱动要素对径流变化的影响。结果表明：①淮河、长江和珠江实测径流量变异性特征不明显，相比而言，北方主要江河实测年径流量系列存在较为明显的突变性，但最显著的变异点发生时间存在差异，变异前后降水径流关系发生较大变化。② RCCC-WBM模型能够较好模拟中国南方湿润区和北方干旱区江河天然径流量过程，该模型可以用来还原人类活动影响期间的天然径流量。③总体来看，人类活动对中国北方江河径流量的影响大于气候变化的影响，气候变化是中国淮河及其以南江河径流变化的主要原因。     

Temporal-spatial Distribution of Suitable Areas for Major Food Crops in China Over 60 Years

Simulating the temporal-spatial distribution of areas suitable for crops is an important part of analyzing the effects of climate change on crop growth, reducing the vulnerability of crop growth, and assessing the adaptability of crop growth to climate change. This study selected climate factors that affect the growth of wheat, maize and rice, and it combined surface soil and ground elevation factors as environment variables, as well as data from agricultural observation stations as species variables. The MaxEnt ecological model was used to identify suitable areas for these three crops during the period of 1953-2012. The areas suitable for the three crops were analyzed to determine the temporal-spatial distribution of major food crops and to estimate the difference in crop growth adaptability under climate change. The results showed the following: \mathrm{①} The response to climate change of the areas suitable for food crops could be ranked from strongest to weakest as follows: wheat, rice, and maize. \mathrm{②} On the same space-time scale, for the growth of wheat and rice, the southern agricultural regions, mountainous areas and plateaus were relatively unsuitable for a wider variety of crops than the northern agricultural regions, plains and basins. \mathrm{③} The adaptability of wheat increased in the major agricultural regions slightly. The adaptability of maize increased in the northern agricultural regions and decreased in the southern agricultural regions, respectively. The adaptability of rice was stable in the southern agricultural regions, and it decreased in the Huang-Huai-Hai region and increased in the northeastern region. \mathrm{④} Over 60 years, the ability of the major food crops to adapt to climate change increased in the northeast region, Gansu-Xinjiang region, Southwest region and Loess Plateau region, but the adaptability of major food crops decreased in the Huang-Huai-Hai region and the Mid-and-Lower Reaches of the Yangtze River. \mathrm{⑤} The suitable areas of maize and rice were significantly correlated with planting areas and yields, respectively, which provided feasibility for simulating the distribution of suitable areas on maize and rice in different climate scenarios in the future. The suitable area of wheat is not significantly related to the planting area and yield. In the future, we will take more factors to model the suitable area of wheat accurately.     

全球气候增暖对甘肃农作物生长影响的研究进展

系统总结了甘肃省科技攻关重大项目“甘肃干旱生态环境对全球气候变暖的响应研究”等3个课题的主要成果和研究进展。在揭示甘肃省现代气候变化基本特征是冬暖夏干的基础上,比较系统地综述了越冬作物（冬小麦、冬油菜）、喜凉作物（春小麦、马铃薯、胡麻）和喜温作物（玉米、棉花、酿酒葡萄）等8种主要农作物的生长发育、适生种植区高度和种植面积、产量和品质等对现代气候变化的响应特征。现代气候变化对甘肃农作物生长的影响非常突出,已对农作物安全生产与农业可持续发展构成了严重威胁。其研究结果为建立现代农业发展模式,旱作农业生产机制,农作物安全生产提供科学的指导意见。     

基于Cobb-Douglas生产函数的新疆各地区典型作物生产水足迹驱动因素研究

水资源紧缺是限制我国西北干旱区农业发展的主要瓶颈,正确评估地区农业用水效率及其影响机制,可为提高农业用水效率提供理论依据。以新疆为研究区,基于1988-2015年的长系列数据,分别计算出历年北疆、南疆、东疆典型作物（小麦、棉花）生产水足迹,并采用Cobb-Douglas生产函数定量分析气象因素（年降雨量、年日照时数、年均温度、年均风速、年均湿度）和技术因素（农机总动力、有效灌溉率、化肥施用折纯量）对作物生产水足迹的影响贡献率。结果表明： 1988年至2015年,东疆小麦、棉花生产水足迹显著高于北疆和南疆,在气候变化和技术进步的综合影响下,各地区典型作物生产水足迹逐年降低,其中技术进步对新疆典型作物单产水足迹影响显著高于气候因素,是驱动新疆各地区典型作物生产水足迹变化的主要控制因素。地区尺度上,北疆、南疆、东疆气候变化和农业技术发展均呈现显著的地区差异,总体来看,北疆气候条件最适宜作物生长,东疆气候最为恶劣,北疆、南疆农业技术发展速率整体上高于东疆。     

The loss and maintenance of native crops in mountain agriculture

The fate of agricultural biodiversity varies among the native crops produced in a mountainous region. Four native crops (potatoes, maize, ulluco, quinoa) cultivated in the southern Peruvian sierra demonstrate different patterns of cultivar loss and cultivar maintenance. Contingent social, economic and environmental conditions in mountain agriculture shape the distinct fates befalling the cultivars in each crop. Three sets of specific conditions contribute to differences in the patterning of cultivar loss and maintenance: (1) proximate conditions in the local peasant economy, particularly access among agricultural households to land, labor, and capital, and changes in the availability and quality of the three endowments; (2) the social and cultural value of the crop in the local diet and cuisine; and (3) the biogeographic patterning of cultivars. Maintenance of cultivars currently marks the ulluco and quinoa crop as well as many potato and maize types. Cultivar loss besets the fast-maturing potato S. phureja and the slow-maturing maize types. To incorporate variable in situ crop-conservation programs into development planning for montane regions requires thoroughly assessing the contingent conditions for continued production.     

作物相对水分利用效率与理论节水潜力

作物水分利用效率是评价农业用水效率的重要指标,由于气候差异,采用作物水分利用效率评价不同区域的用水效率可能存在一定误差,尚缺乏深入研究。基于潜在水分利用效率指标和气象数据,计算了2014年中国小麦、玉米和水稻在充分灌溉条件下的潜在水分利用效率,分析了区域气候差异对作物水分利用效率的影响,提出了相对水分利用效率和理论节水潜力的概念和计算方法,并进行了实例研究。结果表明:各类作物在不同站点的潜在水分利用效率的标准差为0.49~1.01 kg/m3,多数作物潜在水分利用效率的空间差异大于实际水分利用效率的空间差异;主要作物的平均相对水分利用效率为50.7%,其理论节水潜力为884.8~4 064.5 m3/hm2;作物水分利用效率和广义节水潜力指标可能高估或低估作物的用水效率和节水潜力。研究认为在比较区域间作物的水分利用效率时不能忽略气候差异的影响;由于考虑了区域气候差异,相对水分利用效率和理论节水潜力指标更合理。     

西北干旱半干旱区春小麦生长对气候变暖响应的区域差异

对分别位于西北特干旱、干旱、半干旱3种主要气候类型区的敦煌、武威（1981—2005年）、定西3个农业气象观测站(1986—2005）年的气候变化对春小麦各个物候期及其产量的影响进行分析，结果显示：不同台站的气候变化模式在时间和空间上都不同，武威和定西的气温增加而降水量减少，气候均呈现暖干化趋势，但前者的变化量大于后者。所不同的是敦煌站的气温和降水量都呈增加趋势。相关分析结果，一方面显示了在不同的气候类型区，影响春小麦生长的主导因子不同，影响敦煌、武威、定西3站春小麦生长期天数和产量的主导气象因子分别为≥0℃积温、日均温、降水量。另一方面也显示了同一气象因子对不同地区作物的影响程度、强度和方向都不同，日均温的增加对不同地区春小麦生长期的负效应表现为武威＞敦煌＞定西；≥0℃积温对春小麦生长期和产量的正效应表现为敦煌＞定西，对武威春小麦的生长期有正影响，而对产量有负影响；降水量对半干旱雨养农业区定西春小麦生长期和产量的正影响最大且极为显著（P＜0.01）；日照时数对不同地区春小麦整个生长期和产量的正影响敦煌＞定西＞武威。气候变化最终导致敦煌站春小麦的产量以8.8 g/（m2·a）的速率显著增加，武威、定西受气候暖干化的影响，春小麦产量分别下降0.3 g/（m2·a）、5.5 g/（m2·a）。造成这些差异的主要原因可能是各地的气候条件不同，其次是各地的栽培条件、田间管理（如灌溉、施肥、病虫害防治）等非气象因子的不同所致，各地作物的生长及产量形成都是气象因子和非气象因子共同作用的结果。 [HT5H]关〓键〓词：[HT5K]区域差异；响应；气候变暖；春小麦  [HT5H]中图分类号：P463.2;S162.5〓〓〓文献标识码：A[HT5SS][HK]     

Optimal planning and operation of irrigation systems under water resource constraints in Oman considering climatic uncertainty

In this contribution, we introduce a stochastic framework for decision support for optimal planning and operation of water supply in irrigation. This consists of (1) a weather generator for simulating regional impacts of climate change on the basis of IPCC scenarios, (2) a tailor-made evolutionary optimization algorithm for optimal irrigation scheduling with limited water supply, (3) a mechanistic model for simulating water transport and crop growth in a sound manner, and (4) a kernel density estimator for estimating stochastic productivity, profit, and demand functions by a nonparametric method. As a result of several simulation/optimization runs within the framework, we present stochastic crop-water production functions (SCWPF) for different crops which can be used as a basic tool for assessing the impact of climate variability on the risk for the potential yield for specific crops and specific agricultural areas. A case study for an agricultural area in the Al Batinah region of the Sultanate of Oman is used to illustrate these methodologies. In addition, microeconomic impacts of climate change and the vulnerability of the agro-ecological system are discussed.     

Climate extremes: an observation and projection of its impacts on food production in ASEAN

Climate change alters global food systems, especially agriculture and fisheries—significant aspects of the livelihoods and food security of populations. The 2014 IPCC Fifth Assessment Report identified Southeast Asia as the most vulnerable coastal region in the world, and highlighted the potential distribution of impacts and risks of climate change in the region. While climate hazards may differ across geographical regions, the impact of climate extremes on food production will affect marginal farmers, fishers and poor urban consumers disproportionately, as they have limited capacities to adapt to and recover from extreme weather events. Governments and other stakeholders need to respond to climate extremes and incorporate adaptation into national development plans. Unfortunately, there is still limited peer-review publication on the subject matter. This paper presents some findings from research on observed and projected loss and damage inflicted by climate extremes on agricultural crops in Southeast Asia.     

Simulation Study of the Climate Change Impact on the Rice and its Adaptability in Ningxia Province

Yinhuang Irrigation District in Ningxia, as the top rice production area of high quality and quantity, has a long history in rice planting. The studies of the effective measures for the rice production replying the climate change were very important for reducing the harm of the future climate change and crop supply safety in Ningxia Province. Based on the coupling of the PRECIS model and the crop model CERES Rice, the effects of climate change on the rice production and growth stage in Yinhuang Irrigation District in Ningxia Province were simulated and evaluated, and the adaptability measures of rice production were studied. The results showed that the CERES Rice model had the preferable simulation capability, and the modified PRECIS model also could preferably simulate the required climate parameter. The crop model simulation results showed that the climate change had some influence on the rice production and growth stage in Yinhuang Irrigation District. The rice production goes down under future climate change scenarios in Ningxia Province. The trend of reduction of 2050s is more apparent than that of 2020s under the same scenarios,but the spatial change trend is similar. The extent and range of reduction of A2 scenario are wider than that of B2 scenario in the same period, but spatial change trend is different. For the change of growth stage, there has no obvious change in the north and the central part of the Yinhuang Irrigation District. The duration in 2050s shortens more obviously than that of 2020s under the same scenario, and the duration under B2 scenario shortens more obviously than that under A2 scenario in the same period. The results of adjusting the sowing date and the rice variety parameter G4 showed that the negative impact of climate change on the rice production can be reduced by sowing date advance in Yinhuang Irrigation District in Ningxia Province. There has obvious difference for the optimal G4 values of different region in Yinhuang Irrigation District, and the rice production can also be effectively upraised by adjusting the rice variety characteristic and cultivating the heat resistant rice varieties. The optimal G4 values can mitigate the damage of climate change on the rice production in Yinhuang Irrigation District in Ningxia Province.