印度农田扩张对区域气候影响的数值模拟

选取耕地面积居世界第二位的印度作为研究区域,利用中国自主研发的区域气候模式(RIEMS2.0)和土地利用变化资料,进行潜在植被和雨养农田的长时间积分模拟对比试验,分析了印度农田扩张对区域气候的影响及其机制。结果表明:农田扩张使得印度区域平均气温升高0.1℃,平均降水强度减少0.1 mm·d~(-1),总降水量减少12.8%;农田扩张的气候效应存在明显区域差异和季节差异,在副热带湿润区气温增加0.5~1.0℃,在干旱和半干旱区气温增加0.3~0.5℃,在热带地区气温则下降;农田扩张使得季风前期和冬季气温分别增加0.5℃和0.2℃;季风后期气温降低0.5℃,季风季节气温没有明显变化;在副热带湿润区、干旱和半干旱区降水明显减少,干旱季节特别是季风前期降水减少最为显著,达到0.3 mm·d~(-1);印度农田扩张使得年平均感热通量增加、潜热通量减少,其中植被的蒸散作用引起的潜热通量的变化,尤其是季风前期潜热通量明显减少,是区域气温升高、降水减少的重要原因;农田扩张使得印度大陆上空(850 h Pa高度)受较弱的辐散环流控制,辐散下沉气流是造成当地气温升高、降水减少的又一原因。     

内蒙古温带荒漠草原生态系统水热通量动态

基于2008年全年内蒙古温带荒漠草原的水热通量观测数据,对荒漠草原水、热通量的日、季动态进行了分析.结果表明：温带荒漠草原感热通量和潜热通量的日动态均呈单峰型曲线,在12:00-13:30左右达最大值,其与地表净辐射的日变化趋势基本一致,但感热和潜热的峰值出现时间较地表净辐射峰值出现时间滞后约1 h;温带荒漠草原感热通量和潜热通量的日累积最大值分别为319.01和425.37 W·m^-2,分别出现在5月30日和6月2日;月均感热通量与潜热通量的最大值分别出现在5月和6月,最小值分别出现在1月和12月.研究区土壤含水量与降水的相关性较好,表层土壤含水量对降水的反应最敏感,深层土壤水分对降水的反应存在位相滞后.感热通量和潜热通量的季节动态与地表净辐射基本一致,均受降水影响.感热通量受地表净辐射的影响明显,而潜热通量对降水的反应较敏感,且土壤含水量在潜热通量中起主要作用.     

黄土高原农牧交错带稀疏自然植被生态系统的地表能量特征

基于2011-2012年黄土高原农牧交错带稀疏自然植被生态系统的地表能量通量以及气象数据,对该地区能量平衡各分量(净辐射、感热、潜热和土壤热通量)以及波文比进行日、季节动态的特征分析,研究了潜热通量和感热通量对不同强度降雨事件响应程度的差异,并分析了潜热通量和感热通量的主控因子.结果表明:该地区净辐射、感热、潜热和土壤热通量的日、季节动态曲线均为单峰型曲线,净辐射、感热通量、潜热通量和土壤热通量的年平均值分别为78.19、33.32、24.91和2.65 W·m-2.在全年能量收支平衡中,感热通量占净辐射的43％,潜热通量占32％,土壤热通量占3％,表明对于黄土高原农牧交错带自然稀疏灌木生态系统,全年能量主要以感热的形式交换.生长季感热和潜热占净辐射的比例相同(36％);而在非生长季,感热占主导,占净辐射的比例高达54％.潜热通量在强、弱降雨事件发生后明显升高,感热通量则明显下降.潜热通量与净辐射、水汽压差及植被参数均显著相关,感热通量与净辐射及空气温度梯度显著相关.     

长白山阔叶红松林生长季热量平衡变化特征

根据长白山阔叶红松林2001年5月下旬至10月上旬微气象梯度观测资料和辐射、土壤热通量资料,用波文比-能量平衡方法(BREB方法)计算了森林的显热通量和感热通量,并计算了森林大气和植被体的储热量,分析了阔叶红松林热量平衡各项的日变化和季节变化,结果发现,热量平衡(净辐射)与太阳总辐射呈线性关系;热量平衡各项都与净辐射有相同的日变化特征,为昼正夜负的曲线．各项的绝对值一般表现为净辐射>潜热通量>感热通量>储热变化．受日照时间的影响,6～10月各分量正值的日持续时间逐渐缩短．月平均结果,白天净辐射6月份最大,10月上旬最小,变化于0～527W·m^-2,夜间的净辐射在0～-121W·m^-2．潜热通量白天和夜间分别在0～441、0～-81W·m^-2,感热通量昼夜分别在0～80、0～-26W·m^-2．储热变化则为0～44、0～-26W·m^-2．白天潜热通量占净辐射的比例8～10月逐渐下降,而感热通量和储热变化的比例9～10月明显上升,特别在严霜后2～3d,出现潜热通量比例突减、感热通量比例突增的现象．文中还对通量观测仪器、方法进行了简要分析．     

黄河小浪底人工混交林生长季能量平衡特征

利用涡度相关系统和小气候梯度观测系统,对黄河小浪底人工混交林2012年生长季(5—9月)各能量通量进行了连续观测,分析了该生态系统能量平衡各项的变化特征,讨论了能量闭合状况。结果表明:潜热通量、感热通量和土壤热通量均与净辐射有类似的日变化特征。各项的绝对值大小表现为净辐射潜热通量感热通量土壤热通量。受日照时数的影响,5—9月能量平衡各项正值的日持续时间逐渐缩短。生长季,净辐射、感热通量和土壤热通量在6月份最大,最大值分别为418.5、231.4和12.5 MJ m-2month-1);潜热通量在7月份达到最大,最大值为320.8 MJ m-2month-1)。潜热通量、感热通量和土壤热通量占净辐射的比例分别在0.48—0.62、0.15—0.55、0.02—0.05之间。人工混交林生长季的能量分配主要以潜热通量和感热通量为主,且潜热通量为感热通量的2倍。波文比呈单峰曲线:6月最大,8月最小。黄河小浪底人工混交林生长季全天能量闭合度为79%。其中,白天闭合程度较高(81%),夜晚较低(41%)。本研究站点存在21%的能量不闭合。其原因可能与通量源区面积不匹配、忽略冠层热储存、湍流能的相位差等有关。     

土地利用/覆盖变化对中国不同季节气温的影响

近几十年中国地区土地利用/覆盖变化(LUCC)较大,在区域气候模拟中尤其需要使用更加准确的土地利用/覆盖数据。基于模式原有的USGS和新开发的LUC90两种土地利用/覆盖资料,利用区域环境集成模拟系统(RIEMS2.0)分别进行连续10a模拟,分析LUCC对中国不同季节气温的影响。结果表明:1)采用LUC90资料后,中国及东北、华北、华南夏季平均气温增加,但只有东北模拟与观测值的偏差减小,且通过显著性检验(P0.01)。中国及东北、华南冬季平均气温增加,并且模拟与观测值的偏差减少。中国及华北和华南对冬季气温年际变率的模拟改善好于夏季。2)土地利用/覆盖变化通过影响潜热通量的变化和净吸收辐射通量的变化来影响不同季节气温的变化。冬季净辐射通量变化对气温变化的贡献较夏季大,而夏季潜热通量变化对气温变化的贡献较冬季大。雨养农田转变森林、草地、灌溉农田过程造成通量变化,其对气温变化的影响也存在不同分区季节的差异。     

宁南半干旱地区农田和草地生态系统能量通量的季节变化

根据2002~2003年宁南山区不同下垫面小气候考察资料,用能量平衡法计算了不同下垫面不同季节的感热、潜热通量。分析结果表明:(1)宁南半干旱地区夏季农田和草地的净辐射峰值可达到700W/m2以上,土壤热通量的值比净辐射小1个量级。同类下垫面净辐射通量日积分值夏季>春季>秋季>冬季。(2)宁南半干旱山区感热输送强度以典型草地的最大,其次是禁牧草地,稀树草地的最小。春季各类下垫面地表热量平衡以感热输送为主。在春、夏、秋季的晴天,感热通量日积分值为正,冬季为负。(3)农田在夏、秋季、冬季水汽输送大于各类草地的,其次是稀树草地的,典型草地向上的水汽输送量是最小的。夏季白天农田β在0.2~0.7,稀树草地β为0.2~1.0,能量输送以潜热为主。禁牧草地β为0.2~9.2,典型草地为1.5~13.1,能量输送以感热为主。(4)宁南半干旱地区宜退耕,发展典型草原,在水分充足的山地背阴坡少量发展稀树草地。     

低丘红壤区农田水热通量变化特征及气候学足迹

农田水热通量的变化特征以及气候学足迹分析对加强区域气候资源管理和提高红壤地区水热资源利用率有重要意义.利用低丘红壤区的大孔径闪烁仪和自动气象站数据,在保证数据质量的基础上,详细分析了低丘红壤区农田在非雨季、作物生长旺期不同时间尺度水热通量的变化特征和观测通量的源区分布特征.结果表明: 水热通量的日变化呈单峰型,但与晴天相比较,多云天的日变化曲线波动更为复杂;无论是旬尺度还是月尺度, 8月的水热通量整体上都大于9月,且净辐射通量都更多地用于潜热交换,但9月潜热通量所占净辐射比例相较于8月有所减少,感热通量则相反;受气象条件(尤其是风)、稳定度和下垫面状况影响,不同时间尺度的观测通量源区特征不同;结合下垫面作物来看,不同时间尺度源区的通量贡献来源也不同.     

北方典型农牧交错带草地开垦对地表辐射收支与水热平衡的影响

以北方典型农牧交错带草原和农田生态系统的涡度相关数据为基础,对比分析了生长季两种不同土地利用类型的辐射和水热通量之异同,揭示了草地开垦影响地表辐射收支与水热平衡的机制。结果表明:在植被生长季(5月—9月),草地开垦引起太阳总辐射增加了10.74%,短波反射辐射减少了14.20%,净辐射增加了35.16%;在水热通量方面,草地开垦引起潜热通量日积分平均值增加了0.20MJ/m~2,同时显热通量减少了0.09 MJ/m~2;生长季内地表反照率减小,表征地表吸收太阳辐射增加,有升高气温的趋势;非生长季内地表反照率增加,有降低气温趋势,此外地表反照率与土壤湿度存在负指数关系;波文比在植被生长早期和末期增加,生长旺期减小,说明草地开垦与影响着近地表大气状态,从而改变了区域气候。     

低丘红壤区集水区和田块尺度农田能量平衡特征比较

分析农田能量平衡特征及其影响因素对提高红壤地区农业生产和水热资源利用率有重要意义。利用低丘红壤试验区的大孔径闪烁仪、波文比仪和自动气象站观测数据,分析了低丘红壤区集水区和田块尺度农田能量平衡特征及其水热通量与气象要素的相关关系。结果表明:受天气条件影响,两种尺度农田能量平衡分量的日变化呈单峰型趋势,农田潜热通量数值最大,感热通量和土壤热通量数值较小;两种尺度农田能量平衡分量的月变化趋势一致,集水区尺度感热通量小于田块尺度,集水区尺度潜热通量大于田块尺度;相关分析表明,净辐射、气温、相对湿度、大气压、平均风速是两种尺度农田水热通量的主控因子,但水汽压和降水量在两种尺度农田对水热通量有不一致的影响。     

The implication of irrigation in climate change impact assessment: a European‐wide study

This study evaluates the impacts of projected climate change on irrigation requirements and yields of six crops (winter wheat, winter barley, rapeseed, grain maize, potato, and sugar beet) in Europe. Furthermore, the uncertainty deriving from consideration of irrigation, CO₂ effects on crop growth and transpiration, and different climate change scenarios in climate change impact assessments is quantified. Net irrigation requirement (NIR) and yields of the six crops were simulated for a baseline (1982–2006) and three SRES scenarios (B1, B2 and A1B, 2040–2064) under rainfed and irrigated conditions, using a process‐based crop model, SIMPLACE . We found that projected climate change decreased NIR of the three winter crops in northern Europe (up to 81 mm), but increased NIR of all the six crops in the Mediterranean regions (up to 182 mm yr^?1). Climate change increased yields of the three winter crops and sugar beet in middle and northern regions (up to 36%), but decreased their yields in Mediterranean countries (up to 81%). Consideration of CO₂ effects can alter the direction of change in NIR for irrigated crops in the south and of yields for C3 crops in central and northern Europe. Constraining the model to rainfed conditions for spring crops led to a negative bias in simulating climate change impacts on yields (up to 44%), which was proportional to the irrigation ratio of the simulation unit. Impacts on NIR and yields were generally consistent across the three SRES scenarios for the majority of regions in Europe. We conclude that due to the magnitude of irrigation and CO₂ effects, they should both be considered in the simulation of climate change impacts on crop production and water availability, particularly for crops and regions with a high proportion of irrigated crop area.     

Observation of irrigation‐induced climate change in the Midwest United States

Irrigated agriculture alters near‐surface temperature and humidity, which may mask global climate change at the regional scale. However, observational studies of irrigation‐induced climate change are lacking in temperate, humid regions throughout North America and Europe. Despite unknown climate impacts, irrigated agriculture is expanding in the Midwest United States, where unconfined aquifers provide groundwater to support crop production on coarse soils. This is the first study in the Midwest United States to observe and quantify differences in regional climate associated with irrigated agricultural conversion from forests and rainfed agriculture. To this end, we established a 60 km transect consisting of 28 stations across varying land uses and monitored surface air temperature and relative humidity for 31 months in the Wisconsin Central Sands region. We used a novel approach to quantify irrigated land use in both space and time with a database containing monthly groundwater withdrawal estimates by parcel for the state of Wisconsin. Irrigated agriculture decreased maximum temperatures and increased minimum temperatures, thus shrinking the diurnal temperature range (DTR) by an average of 3°C. Irrigated agriculture also decreased the vapor pressure deficit (VPD) by an average of 0.10 kPa. Irrigated agriculture significantly decreased evaporative demand for 25% and 66% of study days compared to rainfed agriculture and forest, respectively. Differences in VPD across the land‐use gradient were highest (0.21 kPa) during the peak of the growing season, while differences in DTR were comparable year‐round. Interannual variability in temperature had greater impacts on differences in DTR and VPD across the land‐use gradient than interannual variability in precipitation. These regional climate changes must be considered together with increased greenhouse gas emissions, changes to groundwater quality, and surface water degradation when evaluating the costs and benefits of groundwater‐sourced irrigation expansion in the Midwest United States and similar regions around the world.     

农田灌溉对气候的影响研究综述

过去200年全球灌溉农田面积迅速扩张,灌溉对气候的影响逐渐受到世界各国研究者的关注。回顾了过去有关灌溉对气候的影响研究,归纳了前人的研究手段,指出了目前研究中存在的问题和困难,并提出了未来灌溉对气候的影响研究应该注重如下几个方面:1)同时利用观测数据分析方法和模型模拟研究方法进行灌溉对区域气候的影响,并将两者的结果进行对比分析,以求做到互相验证;2)对于缺乏地面观测数据或者地面数据受其他因素(比如:城市化)影响大的区域,建议利用遥感观测数据进行灌溉对地表参数的影响研究;3)注意对灌溉四大属性(灌溉位置、灌水量、灌溉方式和灌溉时间)的精确模拟,可以考虑耦合气候模型和作物模型进行模拟研究,并注意区分灌溉旱地和灌溉水田。4)提倡利用多模式集合的方式研究灌溉对区域气候的影响,以减少灌溉对气候影响(强度和方向)模拟结果的不确定性;5)未来也应该考虑模拟灌溉和气候变化间的互馈影响。     

农田水氮关系及其协同管理

作物施氮反应及其氮肥利用率不仅取决于氮肥管理,还与水资源管理有关,并且受到地区气候因素的影响。针对中国灌溉农区氮肥环境污染问题日益突出,协调农田水氮管理,如通过改善水资源管理,发挥水氮协同效应,以提高水分利用效率来改善氮肥利用率,实现水氮利用率双赢,是当前农业水氮管理中亟待探讨和回答的问题。通过对农田水氮协同相关研究文献资料的综述,以华北平原集约种植体系水氮管理为例,根据历年统计数据,分析了该区年水热条件下粮食产量与水、氮及水氮利用效率之间的关系。研究表明,水和氮与作物产量在一定范围表现为水氮的协同效应。水分利用效率一般随灌溉水量减少及氮肥用量增加而提高;氮肥利用效率随氮用量增加而下降。适量节水和减氮分别有助水分利用效率和氮肥利用效率的改善。在气候变暖、变干条件下,适量施氮成为改善水氮利用效率的关键对策。     

Two Challenges for U.S. Irrigation Due to Climate Change: Increasing Irrigated Area in Wet States and Increasing Irrigation Rates in Dry States

Agricultural irrigation practices will likely be affected by climate change. In this paper, we use a statistical model relating observed water use by U.S. producers to the moisture deficit, and then use this statistical model to project climate changes impact on both the fraction of agricultural land irrigated and the irrigation rate (m³ha⁻¹). Data on water withdrawals for US states (1985–2005) show that both quantities are highly positively correlated with moisture deficit (precipitation – PET). If current trends hold, climate change would increase agricultural demand for irrigation in 2090 by 4.5–21.9 million ha (B1 scenario demand: 4.5–8.7 million ha, A2 scenario demand: 9.1–21.9 million ha). Much of this new irrigated area would occur in states that currently have a wet climate and a small fraction of their agricultural land currently irrigated, posing a challenge to policymakers in states with less experience with strict regulation of agriculture water use. Moreover, most of this expansion will occur in states where current agricultural production has relatively low market value per hectare, which may make installation of irrigation uneconomical without significant changes in crops or practices by producers. Without significant increases in irrigation efficiency, climate change would also increase the average irrigation rate from 7,963 to 8,400–10,415 m³ha⁻¹ (B1 rate: 8,400–9,145 m³ha⁻¹, A2 rate: 9,380–10,415 m³ha⁻¹). The irrigation rate will increase the most in states that already have dry climates and large irrigation rates, posing a challenge for water supply systems in these states. Accounting for both the increase in irrigated area and irrigation rate, total withdrawals might increase by 47.7–283.4 billion m³ (B1 withdrawal: 47.7–106.0 billion m³, A2 withdrawal: 117.4–283.4 billion m³). Increases in irrigation water-use efficiency, particularly by reducing the prevalence of surface irrigation, could eliminate the increase in total irrigation withdrawals in many states.     

A decade of irrigation transforms the soil microbiome of a semi‐arid pine forest

The impact of climate change on the soil microbiome potentially alters the biogeochemical cycle of terrestrial ecosystems. In semi‐arid environments, water availability is a major constraint on biogeochemical cycles due to the combination of high summer temperatures and low rainfall. Here, we explored how 10 years of irrigation of a water‐limited pine forest in the central European Alps altered the soil microbiome and associated ecosystem functioning. A decade of irrigation stimulated tree growth, resulting in higher crown cover, larger yearly increments of tree biomass, increased litter fall and greater root biomass. Greater amounts of plant‐derived inputs associated with increased primary production in the irrigated forest stands stimulated soil microbial activity coupled with pronounced shifts in the microbiome from largely oligotrophic to more copiotrophic lifestyles. Microbial groups benefitting from increased resource availabilities (litter, rhizodeposits) thrived under irrigation, leading to enhanced soil organic matter mineralization and carbon respired from irrigated soils. This unique long‐term study provides new insights into the impact of precipitation changes on the soil microbiome and associated ecosystem functioning in a water‐limited pine forest ecosystem and improves our understanding of the persistency of long‐term soil carbon stocks in a changing climate.     

Reflections on food security under water scarcity

Forecasts on population growth and economic development indicate that there will be substantial increases in food demand for the forthcoming decades. We focus here on the water requirements of food production, on the issue of whether there would be enough water to produce sufficient food in the future, and we offer options to face this challenge based on recent trends observed in some agricultural systems. Given the competition for water faced by the agricultural sector, and the uncertainties associated with climate change, improving the efficiency of water use in both rain-fed and irrigated systems is the main avenue to face the challenge. In rain-fed agriculture, managing the risk associated with rainfall variability is a promising option to increase productivity. In irrigated systems, a case study on the improvements in water productivity in Andalusia, Spain, is used to illustrate some of the opportunities to make progress. Progress in reducing irrigation water use in recent decades has been substantial, but decreasing the consumptive use of crops is a much more difficult challenge. The need for more research and technology transfer on improving water-limited crop production is highlighted, and emphasis is placed on interdisciplinary approaches to gain the insight needed to achieve new breakthroughs that would help in tackling this complex problem.     

区域气候变化情景下气候变率对我国水稻产量影响的模拟研究

利用中国随机天气模型将中国区域气候模式ＲＣＭ与作物模式ＣＥＲＥＳ－Ｒｉｃｅ相连接，模拟了３种气候变率（０％，１０％，２０％）水平下未来气候（２０５０年，假定此时ＣＯ２浓度为５５０ｍｇ／Ｌ）对我国水稻主产区（广州，长沙，南京）灌溉水稻和雨养水稻在考虑ＣＯ２肥效与否条件下的产量，模拟结果表明；（１）气候变率对水稻产量的影响因经营方式和研究地区的不同而有差异，对灌溉水稻来说，气候变率对其产量有负面影响，     

Irrigating grazed pasture decreases soil carbon and nitrogen stocks

The sustainability of using irrigation to produce food depends not only on the availability of sufficient water, but also on the soil's ‘response’ to irrigation. Stocks of carbon (C) and nitrogen (N) are key components of soil organic matter (SOM), which is important for sustainable agricultural production. While there is some information about the effects of irrigation on soil C stocks in cropping systems, there is a paucity of such studies in pastoral food production systems. For this study, we sampled soils from 34 paired, irrigated and unirrigated pasture sites across New Zealand (NZ) and analysed these for total C and N. On average, irrigated pastures had significantly (P < 0.05) less soil carbon (C) and nitrogen (N) than adjacent unirrigated pastures, with differences of 6.99 t C ha^?1 and 0.58 t N ha^?1 in the uppermost 0.3 m. Differences in C and N tended to occur throughout the soil profile, so the cumulative differences increased with depth, and the proportion of the soil C lost from deeper horizons was large. There were no relationships between differences in soil C and N stocks and the length of time under irrigation. This study suggests SOM will decrease when pastures under a temperate climate are irrigated. On this basis, increasing the area of temperate pasture land under irrigation would result in more CO₂ in the atmosphere and may directly and indirectly increase N leaching to groundwater. Given the large and increasing area of land being irrigated both in NZ and on a global scale, there is an urgent need to determine whether the results found in this study are also applicable in other regions and under different land management systems (e.g. arable).     

Modelled biophysical impacts of conservation agriculture on local climates

Including the parameterization of land management practices into Earth System Models has been shown to influence the simulation of regional climates, particularly for temperature extremes. However, recent model development has focused on implementing irrigation where other land management practices such as conservation agriculture (CA) has been limited due to the lack of global spatially explicit datasets describing where this form of management is practiced. Here, we implement a representation of CA into the Community Earth System Model and show that the quality of simulated surface energy fluxes improves when including more information on how agricultural land is managed. We also compare the climate response at the subgrid scale where CA is applied. We find that CA generally contributes to local cooling (~1°C) of hot temperature extremes in mid‐latitude regions where it is practiced, while over tropical locations CA contributes to local warming (~1°C) due to changes in evapotranspiration dominating the effects of enhanced surface albedo. In particular, changes in the partitioning of evapotranspiration between soil evaporation and transpiration are critical for the sign of the temperature change: a cooling occurs only when the soil moisture retention and associated enhanced transpiration is sufficient to offset the warming from reduced soil evaporation. Finally, we examine the climate change mitigation potential of CA by comparing a simulation with present‐day CA extent to a simulation where CA is expanded to all suitable crop areas. Here, our results indicate that while the local temperature response to CA is considerable cooling (>2°C), the grid‐scale changes in climate are counteractive due to negative atmospheric feedbacks. Overall, our results underline that CA has a nonnegligible impact on the local climate and that it should therefore be considered in future climate projections.