Remote sensing monitoring on regional crop water productivity in the Haihe River Basin

Crop water productivity （CWP） agricultural development in water scarcity is one of the important indicators for sustainable area. There is serious conflict between water sup- ply and requirement in the Haihe River Basin. CWP of winter wheat and summer maize from 2003 to 2007 in the Haihe River Basin is estimated based on large-scale evapotranspiration （ET） and crop yield obtained by remote sensing technology. Spatial and temporal distribution of CWP of winter wheat and summer maize is investigated in this study. Results show that CWP of winter wheat in most parts of the study area varies from 1.02 kg/m3 to 1.53 kg/m3, and CWP of summer maize varies from 1.31 kg/m3 to 2.03 kg/m3. Multi-year averaged CWP of winter wheat and summer maize in the study area is about 1.19 kg/m3 and 1.59 kg/m3. CWP results show certain promotion potential to alleviate the water shortage in the Haihe River Basin. Correlation analysis of CWP, crop yield and ET shows that there is great potential for crop yield promotion without the growth in irrigation water. Large-scale CWP estimated by remote sensing technology in this study shows spatial distribution features, which could be used to real-time agricultural water resource management combined with crop yield and ET.     

2008-2014年祁连山区夏季降水的日变化特征及其影响因素（英文）

To investigate the diurnal variation of summer precipitation in the Qilian Mountains in the northeast Tibetan Plateau,the hourly precipitation amount for this region during the summers of 2008–2014 are analyzed using an hourly merged precipitation product at 0.1°×0.1° resolution.The main results are as follows.(1) The spatial distribution and temporal variation of mean hourly precipitation amount and frequency are generally similar and hourly precipitations in the eastern and middle portions are larger and more frequent than that in the western portion.The high value area of precipitation intensity is obviously different from that of precipitation amount and frequency.(2) The spatial distribution of daytime precipitation is generally similar to that of nighttime precipitation,and the daytime precipitation is heavier than the nighttime precipitation.(3) The change rate of precipitation has a maximum at 20:00 Beijing time,and a minimum at 12:00.The hourly precipitation amount significantly correlated with frequency,especially for the middle and eastern portions.     

近30年中国东北地区玉米种植体系的时空动态分析(英文)

Understanding crop patterns and their changes on regional scale is a critical requirement for projecting agro-ecosystem dynamics. However, tools and methods for mapping the distribution of crop area and yield are still lacking. Based on the cross-entropy theory, a spatial production allocation model(SPAM) has been developed for presenting spatio-temporal dynamics of maize cropping system in Northeast China during 1980–2010. The simulated results indicated that(1) maize sown area expanded northwards to 48°N before 2000, after that the increased sown area mainly occurred in the central and southern parts of Northeast China. Meanwhile, maize also expanded eastwards to 127°E and lower elevation(less than 100 m) as well as higher elevation(mainly distributed between 200 m and 350 m);(2) maize yield has been greatly promoted for most planted area of Northeast China, especially in the planted zone between 42°N and 48°N, while the yield increase was relatively homogeneous without obvious longitudinal variations for whole region;(3) maize planting density increased gradually to a moderately high level over the investigated period, which reflected the trend of aggregation of maize cultivation driven by market demand.     

基于格点数据的1961-2012年祁连山山区面雨量特征分析（英文）

Based on a 0.5°×0.5° daily gridded precipitation dataset and observations in meteorological stations released by the National Meteorological Information Center,the interannual variation of areal precipitation in the Qilian Mountains during 1961–2012 is investigated using principal component analysis(PCA) and regression analysis,and the relationship between areal precipitation and drought accumulation intensity is also analyzed.The results indicate that the spatial distribution of precipitation in the Qilian Mountains can be well reflected by the gridded dataset.The gridded data-based precipitation in mountainous region is generally larger than that in plain region,and the eastern section of the mountain range usually has more precipitation than the western section.The annual mean areal precipitation in the Qilian Mountains is 724.9×108 m3,and the seasonal means in spring,summer,autumn and winter are 118.9×108 m3,469.4×108 m3,122.5×108 m3 and 14.1×108 m3,respectively.Summer is a season with the largest areal precipitation among the four seasons,and the proportion in summer is approximately 64.76%.The areal precipitation in summer,autumn and winter shows increasing trends,but a decreasing trend is seen in spring.Among the four seasons,summer have the largest trend magnitude of 1.7×108 m3?a–1.The correlation between areal precipitation in the mountainous region and dry-wet conditions in the mountains and the surroundings can be well exhibited.There is a negative correlation between drought accumulation intensity and the larger areal precipitation is consistent with the weaker drought intensity for this region.     

长江上游社会经济因子对侵蚀产沙的影响

In recent years,the role of human activities in changing sediment yield has become more apparent for the construction of hydraulic engineering and water conservation projec-tions in the Upper Yangtze River,but it has not been evaluated at the macro scale.Taking Sichuan Province and Chongqing City as an example,this paper studies the relationship between socio-economic factors and sediment yield in the Upper Yangtze River based on section data in 1989 and 2007.The results show that sediment yield is significantly correlated with population density and cultivated area,in which the former appears to be more closely related to sediment yield.Moreover,in the relation of sediment yield vs.population density,a critical value of population density exists,below which the sediment yield increases with the increase of population density and over which the sediment yield increases with the decrease of population density.The phenomenon essentially reflects the influence of natural factors,such as topography,precipitation and soil property,and some human activities on sediment yield.The region with a higher population density than critical value is located in the east of the study area and is characterized by plains,hills and low mountains,whereas the opposite is located in the west and characterized by middle and high mountains.In the eastern region,more people live on the lands with a low slope where regional soil erosion is slight;therefore,sediment yield is negatively related with population density.In contrast,in the western region,the population tends to aggregate in the areas with abundant soil and water resources which usually lead to a higher intensity of natural erosion,and in turn,high-intensity agricultural practices in these areas may further strengthen local soil erosion.It is also found that popu-lation tends to move from the areas with bad environment and high sediment yield to the areas with more comfortable environment and less sediment yield.The natural factors have greater influence on sediment yield of western region than that of eastern region.Generally,the natural factors play a dominant role on sediment yield in the Upper Yangtze River.     

Distribution of winter-spring snow over the Tibetan Plateau and its relationship with summer precipitation in Yangtze River

The distribution of winter-spring snow cover over the Tibetan Plateau(TP) and its relationship with summer precipitation in the middle and lower reaches of Yangtze River Valley(MLYRV) during 2003–2013 have been investigated with the moderate-resolution imaging spectrometer(MODIS) Terra data(MOD10A2) and precipitation observations. Results show that snow cover percentage(SCP) remains approximately 20% in winter and spring then tails off to below 5% with warmer temperature and snow melt in summer. The lower and highest percentages present a declining tendency while the middle SCP exhibits an opposite variation. The maximum value appears from the middle of October to March and the minimum emerges from July to August. The annual and winter-spring SCPs present a decreasing tendency. Snow cover is mainly situated in the periphery of the plateau and mountainous regions, and less snow in the interior of the plateau, basin and valley areas in view of snow cover frequency(SCF) over the TP. Whatever annual or winter-spring snow cover, they all have remarkable declining tendency during 2003–2013, and annual snow cover presents a decreasing trend in the interior of the TP and increasing trend in the periphery of the TP. The multi-year averaged eight-day SCP is negatively related to mean precipitation in the MLYRV. Spring SCP is negatively related to summer precipitation while winter SCP is positively related to summer precipitation in most parts of the MLYRV. Hence, the influence of winter snow cover on precipitation is much more significant than that in spring on the basis of correlation analysis. The oscillation of SCF from southeast to northwest over the TP corresponds well to the beginning, development and cessation of the rain belt in eastern China.     

三江源地区气候变化及其对径流的驱动分析(英文)

Based on the precipitation and temperature data of the 12 meteorological stations in the "Three-River Headwaters" region and the observed runoff data of Zhimenda in the headwater sub-region of the Yangtze River, Tangnaihai in the headwater sub-region of the Yellow River and Changdu in the headwater sub-region of the Lancang River during the period 1965-2004, this paper analyses the trends of precipitation, temperature, runoff depth and carries out significance tests by means of Mann-Kendall-Sneyers sequential trend test. Makkink model is applied to calculate the potential evaporation. The runoff model driven by precipitation and potential evaporation is developed and the influence on runoff by climate change is simulated under different scenarios. Results show that during the period 1965-2004 the temperature of the "Three-River Headwaters" region is increasing, the runoff of the three hydrological stations is decreasing and both of them had abrupt changes in 1994, while no significant trend changes happen to the precipitation. The runoff model suggests that the precipitation has a positive effect on the runoff depth, while the potential evaporation plays a negative role. The influence of the potential evaporation on the runoff depth of the Lancang River is found to be the significant in the three rivers; and that of the Yellow River is the least. The result of the scenarios analysis indicates that although the precipitation and the potential evaporation have positive and negative effects on runoff relatively, fluctuated characteristics of individual effect on the runoff depth in specific situations are represented.     

Spatiotemporal variations of aridity index over the Belt and Road region under the 1.5℃ and 2.0℃ warming scenarios

Aridity index reflects the exchanges of energy and water between the land surface and the atmosphere, and its variation can be used to forecast drought and flood patterns, which makes it of great significance for agricultural production. The ratio of potential evapotranspiration and precipitation is applied to analyse the spatial and temporal distributions of the aridity index in the Belt and Road region under the 1.5℃ and 2.0℃ global warming scenarios on the basis of outputs from four downscaled global climate models. The results show that:(1) Under the 1.5℃ warming scenario, the area-averaged aridity index will be similar to that in 1986–2005(around 1.58), but the changes vary spatially. The aridity index will increase by more than 5% in Central-Eastern Europe, north of West Asia, the monsoon region of East Asia and northwest of Southeast Asia, while it is projected to decrease obviously in the southeast of West Asia. Regarding the seasonal scale, spring and winter will be more arid in South Asia, and the monsoon region of East Asia will be slightly drier in summer compared with the reference period. While, West Asia will be wetter in all seasons, except winter.(2) Relative to 1986–2005, both areal averaged annual potential evapotranspiration and precipitation are projected to increase, and the spatial variation of aridity index will become more obvious as well at the 2.0℃ warming level. Although the aridity index over the entire region will be maintained at approximately 1.57 as that in 1.5℃, the index in Central-Eastern Europe, north of West Asia and Central Asia will grow rapidly at a rate of more than 20%, while that in West Siberia, northwest of China, the southern part of South Asia and West Asia will show a declining trend. At the seasonal scale, the increase of the aridity index in Central-Eastern Europe, Central Asia, West Asia, South Asia and the northern part of Siberia in winter will be obvious, and the monsoon region in East Asia will be drier in both summer and autumn.(3) Under the scenario of an additional 0.5℃ increase in global temperature from 1.5℃ to 2.0℃, the aridity index will increase significantly in Central Asia and north of West Asia but decrease in Southeast Asia and Central Siberia. Seasonally, the aridity index in the Belt and Road region will slightly increase in all other seasons except spring. Central Asia will become drier annually at a rate of more than 20%. The aridity index in South Asia will increase in spring and winter, and that in East Asia will increase in autumn and winter.(4) To changes of the aridity index, the attribution of precipitation and potential evapotranspiration will vary regionally. Precipitation will be the major influencing factor over southern West Asia, southern South Asia, Central-Eastern Siberia, the non-monsoon region of East Asia and the border between West Asia and Central Asia, while potential evapotranspiration will exert greater effects over Central-Eastern Europe, West Siberia, Central Asia and the monsoon region of East Asia.     

青藏高原夏季上空水汽含量演变特征及其与降水的关系(英文)

By using the observed monthly mean temperature and humidity datasets of 14 radiosonde stations and monthly mean precipitation data of 83 surface stations from 1979 to 2008 over the Tibetan Plateau(TP),the relationship between the atmospheric water vapor(WV) and precipitation in summer and the precipitation conversion efficiency(PEC) over the TP are analyzed.The results are obtained as follows.(1) The summer WV decreases with increasing altitude,with the largest value area observed in the northeastern part of the TP,and the second largest value area in the southeastern part of the TP,while the northwestern part is the lowest value area.The summer precipitation decreases from southeast to northwest.(2) The summer WV presents two main patterns based on the EOF analysis:the whole region consistent-type and the north-south opposite-type.The north-south opposite-type of the summer WV is similar to the first EOF mode of the summer precipitation and both of their zero lines are located to the north of the Tanggula Mountains.(3) The summer precipitation is more(less) in the southern(northern) TP in the years with the distribution of deficient summer WV in the north while abundant in the south,and vice versa.(4) The PEC over the TP is between 3% and 38% and it has significant spatial difference in summer,which is obviously bigger in the southern TP than that in the northern TP.     

1901–2013年中亚季节降水时空变化特征及其与ENSO的关系（英文）

The vulnerable ecosystem of the arid and semiarid region in Central Asia is sensitive to precipitation variations. Long-term changes of the seasonal precipitation can reveal the evolution rules of the precipitation climate. Therefore, in this study, the changes of the seasonal precipitation over Central Asia have been analyzed during the last century(1901–2013) based on the latest global monthly precipitation dataset Global Precipitation Climatology Centre(GPCC) Full Data Reanalysis Version 7, as well as their relations with El Ni?oSouthern Oscillation(ENSO). Results show that the precipitation in Central Asia is mainly concentrated in spring and summer seasons, especially in spring. For the whole study period, increasing trends were found in spring and winter, while decreasing trends were detected in summer and fall. Inter-annual signals with 3–7 years multi-periods were derived to explain the dominant components for seasonal precipitation variability. In terms of the dominant spatial pattern, Empirical orthogonal function(EOF) results show that the spatial distribution of EOF-1 mode in summer is different from those of the other seasons during 1901–2013. Moreover, significant ENSO-associated changes in precipitation are evident during the fall, winter, spring, and absent during summer. The lagged associations between ENSO and seasonal precipitation are also obtained in Central Asia. The ENSO-based composite analyses show that these water vapor fluxes of spring, fall and winter precipitation are mainly generated in Indian and North Atlantic Oceans during El Ni?o. The enhanced westerlies strengthen the western water vapor path for Central Asia, thereby causing a rainy winter.     

灌溉和施氮对甜叶菊(Stievia rebaudiana)光合作用和产量的影响

为了解水、氮供应水平对河西绿洲灌区甜叶菊(Stievia rebaudiana)光合作用和产量的调控效应,研究了灌溉量(常规灌溉,320mm;节水20%,灌溉256mm;节水40%,灌溉192mm)和施氮量(0、100、200、300kg·hm-2)对甜叶菊光合特性和产量的影响。结果表明:与不施氮相比,施氮可显著提高甜叶菊不同生育期光合速率和产量,施氮处理间光合速率和产量差异均不显著;灌溉量从192mm增加到320mm,甜叶菊产量随灌溉量的增加先增加后降低。施氮100、200、300kg·hm-2下甜叶菊产量分别较不施氮增产6.00%、9.17%、9.76%,256mm灌溉量和300kg·hm-2施氮量为甜叶菊高产的最优组合,产量达到4 177.50kg·hm-2。     

Water use, growth and yield of green gram under rainfed upland crop sequences in Gangetic plains of indian sub—tropics

A field experiment was conducted to study the effect of different crop sequences on water use, growth and yield of green gram (Vigna radiate (L) Wilezek) during 1992–93 and 1993–94 under rainfed upland condition in Indo-Gangetic plains of West Bengal. Green gram sown in the month of March as pre-rainy (summer) season crop, as and when the winter crops vacated the land, produced highest dry matter of 372 gm^-2 which was significantly highest in black gram-yellow sarson sequence. The results of the field experimentation revealed that green gram gave highest grain yield to the extent of 10.80 q/ha when sown after black gram (rainy season) followed by yellow sarson (winter season) while the crop produced 10.63 q/ha under sesame-yellow sarson sequence. Highest water use of 267 mm was achieved in green gram under black gram-yellow sarson sequence and the crop gave water use efficiency of 4.07 kg ha^-1mm^-1 under black gram-yellow sarson sequences.     

1985-2005年环渤海地区土地利用变化时空格局

Based on TM image data and other survey materials, this paper analyzed the spatiotemporal patterns of land use change in the Bohai Rim during 1985–2005. The findings of this study are summarized as follows: (1) Land use pattern changed dramatically during 1985–2005. Industrial and residential land in urban and rural areas increased by 643,946 hm², of which urban construction land had the largest and fastest increase of 294,953 hm² at an annual rate of 3.72%. (2) The outward migration of rural population did not prevent the expansion of residential land in rural areas by 184,869 hm². This increase reveals that construction of rural residences makes seriously wasteful and inefficient use of land. (3) Arable land, woodland and grassland decreased at a rate of −0.02%, −0.12% and −1.32% annually, while unused land shrank by 157,444 hm² at an annual rate of −1.69%. (4) The change of land use types showed marked fluctuations over the two stages (1985–1995 and 1995–2005). In particular, arable land, woodland and unused land experienced an inversed trend of change. (5) There was a significant interaction between arable land and woodland. Industrial construction land in urban and rural areas showed a net trend of increase during the earlier period, but only adjustment to its internal structure during the second period. The loss of arable land to the construction of factories, mines and residences took place mainly in the fringe areas of large and medium-sized cities, along the routes of major roads, as well as in the economically developed coastal areas in the east. Such changes are closely related to the spatial differentiation of the level of urbanization and industrialization in the region.     

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.     

气候变化对海河流域主要作物物候和产量影响简

基于海河流域30 个气象站点1960-2009年的实测资料,分析该流域1960年以来农业气象指标的变化趋势,并利用VIP模型模拟分析大气CO₂浓度增加、温度、降雨和日照时数变化对作物产量的影响。结果显示：冬季温度的显著上升使冬小麦种植北界在50年间向北移动大约70 km;在品种和灌溉条件不变的前提下,小麦产量平均每10年上升0.2%~3.4%,其中CO₂浓度增加、温度、降雨及日照时数变化对其产量的影响分别为11.0%、0.7%、-0.2%和-6.5%;大气CO₂浓度增加的产量正效应大于日照时数减少的负效应。气候变化使夏玉米产量呈下降趋势（0.6%~3.8%/10年）,其中大气CO₂浓度增加、温度、降雨及日照时数变化对其产量的影响分别为0.7%、-3.6%、-1.0%和-6.8%,温度上升和辐射下降是玉米产量下降的主要原因。研究结果可为气候变化影响的评估和适应性对策制定提供科学依据。     

基于逐级递减法的洞庭湖区晚稻生产潜力模拟与预测

洞庭湖区是中国的重要商品粮基地,也是长江流域重要的农产品产业区。本文利用2003~2007年气象数据及全国第二次土壤普查相关资料,按照光、温、水、土逐级递减的过程,采用逐级递减法,对水稻生产力不同预测方法进行了对比研究。结果显示:2003~2007年实际产量均值为5904 kg/hm²,逐级计算光温潜力法所得的均值为7808.072 kg/hm²;而基于FAO-AEZ方法计算的晚稻生产力5年均值仅为5687.45 kg/hm²,小于实测产量。基于逐级计算光温潜力的预测模型比较适合洞庭湖区域的晚稻生产潜力预测。晚稻生产力空间分布研究结果表明,洞庭湖区晚稻生产潜力呈现由西北向东南递减的过渡趋势,中高产区主要集中于常德市所属的澧县、安乡、汉寿和临澧一带,低产区则多分布于长沙市、益阳市和岳阳市等几个区域所属县市;洞庭湖区整体的水稻生产潜力偏低,低产潜力区域达到45%,通过各种耕作措施进一步增产的空间较大。     

The CERES‐Rice Model‐Based Estimates of Potential Monsoon Season Rainfed Rice Productivity in Bangladesh*

Agricultural practices in Bangladesh are largely dependent on the monsoonal rainfall. Historically, Bangladesh often experiences severe droughts and floods during the monsoon months, with significant crop losses during both extreme conditions. This article provides a quantitative assessment of potential monsoon‐season aman rice for four transplanting dates: 1 June, 1 July, 15 July, and 15 August. A crop‐growth simulation model, the CERES‐Rice, is applied to sixteen locations representing major rice‐growing regions of Bangladesh to determine baseline yield estimates for four transplanting dates. The applications were conducted for 1975 through 1987. Average potential yield in Bangladesh is 6,907, 5,039, 3,637, and 1,762 kg ha^?1 for the above transplanting dates, respectively. In other words, Bangladesh would obtain 27 percent, 48 percent, and 75 percent less yield for 1 July, 15 July, and 15 August transplanting, respectively, than for 1 June transplanting. Potential yield vulnerability is the least for 1 June transplanting (up to 5 percent) and the highest (up to 66 percent) for 15 July transplanting date. The model applications show that regional variations exist for potential yield and yield vulnerability for a particular transplanting date. In addition, response of yield and vulnerability for a region changes with transplanting dates.     

中国半干旱区农田土壤碳、氮、磷含量对玉米生产的影响

中国干旱半干旱区占据陆地大片区域,主体位于内蒙古高原、黄土高原、新疆及青藏高原。半干旱区处于季风和非季风的边缘,降水稀少,生态环境脆弱,对气候变化敏感。探究半干旱区农田生态系统有机碳对作物生产和碳储存的影响机制及固碳潜力,对提高区域作物生产水平和生态安全具有重要意义。本研究区位于中国宁夏南部典型半干旱区,基于2017—2019年主要粮食作物玉米生产对土壤有机碳以及氮磷的响应,运用农田生态系统调查取样的方法,开展耕层土壤有机碳（SOC）、全氮（STN）、全磷（STP）及碳氮比（C/N）对玉米生产水平及有机碳储存的影响研究,分析农田SOC的合理贮存范围。结果表明：（1）SOC、STN、STP含量对玉米产量影响差异显著。一定阈值内SOC、STN、STP含量及土壤C/N对玉米产量表现出积极的正效应,而当SOC、STN、STP以及C/N分别超出10.00 g·kg^-1、1.00 g·kg^-1、0.85 g·kg^-1、8.50的阈值后,玉米产量的增长出现减缓,甚至下降趋势;（2）研究区域SOC含量从3.00 g·kg^-1增加至13.00 g·kg^-1的阈值,对籽粒有机碳、蛋白质、淀粉、粗脂肪、可溶性糖等含量的提升呈现积极的正效应,分别增长43.47%、77.13%、52.16%、56.92%、116.71%,均呈先快速增长,后逐渐趋于平缓趋势。而SOC对籽粒全氮和全磷呈现倒U型变化趋势。STN、STP对玉米品质的影响相对较弱;（3）研究区作物耕层SOC、STN、STP含量与生态系统固碳潜力具有较强的正相关性,而SOC、STN、STP含量过高,作物固碳潜力基本保持稳定。研究结果较好反映了研究时间段内SOC、STN、STP含量与作物生产水平及提高SOC储存的关系。本研究认为宁夏南部半干旱区,农田SOC、STN、STP、C/N的合理阈值分别为10.00—12.00 g·kg^-1、0.80—1.10 g·kg^-1、0.70—0.85 g·kg^-1、8.00—9.00。     

气候变化对海河流域主要作物物候和产量影响

基于海河流域30 个气象站点1960-2009年的实测资料,分析该流域1960年以来农业气象指标的变化趋势,并利用VIP模型模拟分析大气CO₂浓度增加、温度、降雨和日照时数变化对作物产量的影响。结果显示：冬季温度的显著上升使冬小麦种植北界在50年间向北移动大约70 km;在品种和灌溉条件不变的前提下,小麦产量平均每10年上升0.2%~3.4%,其中CO₂浓度增加、温度、降雨及日照时数变化对其产量的影响分别为11.0%、0.7%、-0.2%和-6.5%;大气CO₂浓度增加的产量正效应大于日照时数减少的负效应。气候变化使夏玉米产量呈下降趋势（0.6%~3.8%/10年）,其中大气CO₂浓度增加、温度、降雨及日照时数变化对其产量的影响分别为0.7%、-3.6%、-1.0%和-6.8%,温度上升和辐射下降是玉米产量下降的主要原因。研究结果可为气候变化影响的评估和适应性对策制定提供科学依据。