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Variation Characteristic of Soil Temperature at Deep Layers in Kashi City Abudoukerimu ABASI , Maihebureti MAIMAITIYIMING,Nu'erpatiman MAIMAITIREYIMU,Gulimiri Chinese Journal of Agrometeorology    2014, 35 (03): 237-242.   DOI: 103969/jissn1000-6362201403001 Abstract （16106）      PDF（pc） （2307KB）（22631）       Knowledge map    Save The variation of monthly average soil temperature at 0.8m,1.6m and 3.2m deep layers in Kashi from 1981 to 2010 was investigated by using linear trend analysis and accumulated variance methods The results showed that annual average soil temperature at deep layers of 0.8m, 1.6m and 3.2m decreased from 1984 to 1992 significantly(P<0.01) and increased significantly from 1996 to 2004 (P<0.01),but the liner trend of soil temperature was not significant during the whole period Soil temperature at different deep layers increases significantly in winter and spring but decreased significantly in summer and autumn,of which at 0.8m layer in summer(P<0.01),1.6m layer in autumn(P<0.05) was significant respectively From decadal variation, average soil temperature at different deep layer in 1980s was higher than that in 1990s and first 10 years of 21st century Air temperature variation was one of the main factors affecting deep layer soil temperature and there was positive correlation between them Precipitation also had a certain impact on the deep soil temperature,and average soil deeper temperature was related to precipitation increasing Annual average soil temperature at 0.8m and 1.6m depth had abrupt changes in 1985 and 2009,and 3.2m depth was in 1985 and 2008 by the Mann Kendall test The results could provide scientific reference to adapt to climate change for Kashi Reference | Related Articles | Metrics

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Simulation of Daily Air Temperature Inside Plastic Greenhouse Based on Harmonic Method LI Qian,SHEN Shuang he,TAO Su lin,ZOU Xue zhi Chinese Journal of Agrometeorology    2014, 35 (01): 33-41.   DOI: 10.3969/j.issn.1000-6362.2014.01.005 Abstract （15824）      PDF（pc） （2473KB）（11331）       Knowledge map    Save Micro-climate data inside plastic greenhouse in Cixi,Zhejiang province,during the period from 2006 to 2009 was analyzed based on three kinds of weather conditions in winter and spring seasons.Taking the weather elements outside plastic greenhouse as independent variables,the second-order harmonic model parameters were got by through the stepwise regression and a harmonic prediction model for hourly air temperature inside greenhouse was established and validated with three kinds of weather, ie,sunny day, partly cloudy day and overcast day in winter and spring respectively.The results showed that the coefficient of determination (R2)between the predicted and the measured value was more than 0.92 both in sunny day and partly cloudy day,and root mean square error (RMSE) and absolute error (AE) were less than 3.0℃ and 2.4℃ respectively R2 between the predicted air temperature and the measured value in overcast day was approximately 0.79,and RMSE was less than 3.0℃ and RE was approximately 2.0℃,which was lower than that of in partly cloudy day but higher than that of in sunny day.Under the same weather condition, predicted air temperature in winter was higher than that of in spring.Air temperature phase inside plastic greenhouse was a little ahead of outside, especially in sunny and partly cloudy day,and it was higher in winter than that of in spring.Daily minimum air temperature inside plastic greenhouse was lower than that of outside greenhouse,especially in spring.Application of the harmonic analysis to predict of air temperature inside plastic greenhouses under specific weather conditions was studied,and the research results could certainly provide scientific guidance for micro-scale cultivation management in plastic greenhouse. Reference | Related Articles | Metrics Cited: Baidu(1)

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Meteorological Disaster Risk Evaluation of Solar Greenhouse in North China YANG Zai qiang1,2,ZHANG Ting hua1,HUANG Hai jing3,ZHU Kai1,ZHANG Bo1 Chinese Journal of Agrometeorology    2013, 34 (03): 342-349.   DOI: 10.3969/j.issn.1000-6362.2013.03.015 Abstract （15538）      PDF（pc） （3315KB）（3413）       Knowledge map    Save The temperature prediction model indoor based on BP neural network was established,based on meteorological data inside typical solar greenhouse in North China and other meteorological stations.The temperature indoor of 243 meteorological stations was forecasted by the simulation model.Comprehensive meteorological risk assessment model for solar greenhouse was established based on real code accelerating genetic algorithm (RAGA) and projection pursuit evaluate model (PPE),with forecast temperature data indoor and precipitation,sunlight and wind speed from other meteorological stations.The meteorological disaster risk of solar greenhouse in North China was evaluated.The results showed that the standard error was 0.89-1.54℃ between forecasted temperature and observed data,and the determination coefficient was between 0.87-0.94.The highest meteorological disasters risk level of solar greenhouse was from January to March,which was located in North of Tianshan,North of Xing Anling and Tibetan,mainly because of low temperature and frequent winds dust.The lowest risk level of meteorological disasters was in September,which was located between south of the Great Wall and north of the Yellow River,mainly because of low temperature.The meteorological risk evaluation model could provide decision making support for distribution and defence of agro meteorological disaster risk. Related Articles | Metrics Cited: Baidu(6)

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Variation of Temperature and Frost free Period in Different Time Scales in Northeast China HU Qi，PAN Xue biao，ZHANG Dan，Yang Ning，Li Qiu yue，SHAO Chang xiu Chinese Journal of Agrometeorology    2015, 36 (01): 2-8.   DOI: 10.3969/j.issn.1000-6362.2015.01.001 Abstract （16240）      PDF（pc） （13964KB）（3301）       Knowledge map    Save Based on observed data from 71 meteorological stations in Northeast China from 1961 to 2012，the variation of temperature and frost free period in decade scale，annual scale，month scale，and tenday scale，were analyzed.The results showed that both contour lines of temperature and frostfreeperiod moved northward in decade scale，and maximum value occurred in 1980-1999.Compared with 1961-1979，contour line of 3℃ temperature moved northward about 1latitude，and the area of temperature over 3℃ increased 1.14×10.5km2，and contour line of 155d frost free moved northward about 2.4 latitudes，and the area of frostfree 155d increased 2.02×10.5km2.The average temperature increasing rate in Northeast China was 0.30℃10y-1，and maximum increasing in winter at the rate of0.47℃10y-1.The frost free period increasing rate was 3.5d10y-1，and first/latest frost date delayed/advanced 8.1d and 9.8d，respectively.The temperature increasingrate in February was 0.8℃10y-1，which was key factor to large temperature increasing in winter.In which the final 10 days in February temperature increasing rate was 1.00℃10y-1.Climate warming might have some impacts on agricultural production and agro climatic zone in Northeast China，the results could provide references forheat resources utilization and crop cultivation under climate change. Reference | Related Articles | Metrics

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Effect of Smash Ridging Conservation Tillage with Green Manure on Rice Field Soil Infiltration and Its Delayed Action CHEN Sheng-nan, HU Jun-ming, XU Xian-li, WEI Xiang-hua, HE Tie-guang Chinese Journal of Agrometeorology    DOI: 10.3969/j.issn.1000-6362.2018.12.002

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Quantitative Effects of Environmental Factors on Climatic Yield in the Mountainous Area—A Case Study in Yunnan Province GU Zhi-jia, BAI Zhi-wei, DUAN Xing-wu, DING Jian-hong, FENG De-tai, SHI Xiao-ning, HAN Xu Chinese Journal of Agrometeorology    2015, 36 (04): 497-505.   DOI: 10.3969/j.issn.1000-6362.2015.04.014 Abstract （15872）      PDF（pc） （2536KB）（2773）       Knowledge map    Save The shortage of agricultural land resources in mountainous area leads to an inevitable conflict between human and land, which responses particularly for the vulnerability of crop yield in the mountainous area under the climate change conditions. To study the effects of environmental factors on climatic yield may provide a scientific basis for the rational utilization and protection of the land resources in mountainous area. A case study was focused in the Yunnan Province in this paper, grain yield per unit area of 122 counties from the year 1985 to 2012 were collected, biological simulation model was used to simulate the trend of yield and calculate climatic yield, seventeen environmental factors were extracted from each country during the same period. Correlation analysis and redundancy analysis (RDA) were used to analyze the quantitative impact of environmental factors on climatic grain yield. The results showed that the unit area climatic yield varied between -0.15 and -0.01t·ha-1 with a reduction tendency with the increasing of time in the study area. A significantly negative correlation was found between the soil total potassium, while a significant positive correlation between slope, aspect and climatic yield. There was no statistically significant correlation between climatic yield and other 14 environmental factors. Redundancy analysis showed that slope, aspect, soil carbon and nitrogen ratio, temperature, soil pH and TK were the minimum variables combination which could explain 44.6% variation of grain yield. Slope gradient was one of the most important environmental influential factors, which could explain 44.62% of grain actual yield and 26.29% climatic yield per unit area’s variation. In higher climatic yield region by transforming slope into terrace, improving soil fertility and other means to increase grain yield is an effective way to protect the regional grain production safety under the premise of climate change. Reference | Related Articles | Metrics Cited: Baidu(9)

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Distribution and Utilization of Climatic Resources in Gansu Corridor YANG Xiao-ling1,2,DING Wen-kui1,2,DONG An-xiang1,YUAN Jin-mei2(1.Institute of Arid Meteorology CMA,Key Laboratory of Arid Climate Change and Reducing Disaster,Key Open Laboratory of Arid Climate Change and Disaster Reduction CMA,Lanzhou 730020,China;2.Wuwei Meteorological Bureau City of Gansu Province,Wuwei 733000) Chinese Journal of Agrometeorology    2009, 30 (S1): 1-5.   Abstract （14541）      PDF（pc） （1287KB）（2687）       Knowledge map    Save The distribution of climatic resources in Gansu corridor was analyzed using statistics method.Combined with the strategy of sustainable development and the superiority of climate resources,the main fields and the prospect of rational exploiting and utilizing climatic resources in Gansu corridor was analyzed.The results showed that light-favored and thermophilic crops should be introduced and solar heater and solar cooker should be popularized vigorously in Gansu corridor so that could exploit and utilized climatic resources rational and maximum in Gansu corridor. Related Articles | Metrics Cited: Baidu(15)

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Chinese Journal of Agrometeorology

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Analysis of Spatial temporal Precipitation Variation in Anhui Province during 1959-2007 JIANG Jun-Jie, SUN Wei-Guo Chinese Journal of Agrometeorology    2012, 33 (01): 27-33.   DOI: 10.3969/j.issn.1000-6362.2012.01.004 Abstract （15924）      PDF（pc） （5049KB）（2497）       Knowledge map    Save Based on daily precipitation data of sixteen meteorological stations in Anhui province during 1959 to 2007,using linear regression method，MannKendall method，accumulative anomaly method and Morlet wavelet analysis method,the characteristics and tendencies of annual precipitation variation were analyzed.The results showed that the trend of annual precipitation increased unsignificantly.The linear increase trend was significant in summer and winter,but decrease trend in spring and autumn were not obvious.There was a significant decrease trend for annual total rain days in all areas,but the heavy and rainstorm days was increased.The total rain day was reduced from south to north,but the change rates of ≥25mm rain day is increased from the same direction.Both annual precipitation and seasonal precipitation presented two kinds of period,and 2～4 years cycle concussion was obvious.In Anhui province,the precipitation was more centralized because of less rain days and more rainfalls.Since the mid 1990s,the annual precipitation presented more prominent wide range shock and uncertainly,resulted in more drought and flood disasters and bringing bad effect of the local agricultural production. Related Articles | Metrics

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IDL Coding of Fy-3 VIRR-based Temperature Vegetation Drought Index and Application in Shaanxi Province WANG Wei-Dong，ZHAO Qing-lan，LI Hua-long，ZHOU Hui Chinese Journal of Agrometeorology    2015, 36 (04): 513-520.   DOI: 10.3969/j.issn.1000-6362.2015.04.016 Abstract （15686）      PDF（pc） （5709KB）（2415）       Knowledge map    Save The purpose of the present study is to monitor the soil drought of Shaanxi province based on the temperature vegetable drought index (TVDI). The visible and infrared rafiometer (VIRR) level-1 data from the FY-3 satellite was used as the source of data for the present study on cloud detection and inversion of land surface temperature and TVDI. The Interactive Data Language (IDL) was used to develop an application to preprocess FY3 VIRR level-1 data, implement cloud detection, and inverse the land surface temperature and TVDI-based soil drought. The data inversion proved that the TVDI obtained from FY-3 VIRR level-I data had a negative relation of about -0.535 with the relative humidity of the soil in 20cm underground.It can truly reflect the soil drought of Shaanxi Province. The TVDI data inversion truly reflected the soil drought for stations in Shaanxi province except Yulin where the vegetation coverage is low. Reference | Related Articles | Metrics Cited: Baidu(6)

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Effect of Source Size on Rice Pollen Diffusion under Field Experiments ZHANG Jie, WANG Yong-qun, HU Ning, JIANG Xiao-dong, LIU Zi-he, PEI Xin-wu Chinese Journal of Agrometeorology    DOI: 10.3969/j.issn.1000-6362.2018.12.004

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Influence of Light Quality and Photoperiod on Growth and Nutritional Quality of Three Leaf-color Lettuce Cultivars under Weak Light YU Yi, LIU Wen-ke Chinese Journal of Agrometeorology    2015, 36 (06): 739-745.   DOI: 10.3969/j.issn.1000-6362.2015.06.011 Abstract （750）      PDF（pc） （464KB）（2356）       Knowledge map    Save Three leaf-color lettuces were hydroponically cultivated in culturing room with artificial light in greenhouse to investigate the influence of light quality and photoperiod on their growth and nutritional quality. The results showed that the yield of three kinds of lettuce was mainly affected by photoperiod and the nutritional quality was primarily influenced by combined action of light quality and photoperiod. Extension of lighting period enlarged the leaf area of the three kinds of lettuce. Fresh weight unit leaf area of green lettuce and red lettuce didn’t changed much when the light quality and photoperiod altered. However, fresh weight unit leaf area of purple lettuce responded to the change of photoperiod differently with the variation of light quality. Shoot fresh weight of three lettuce improved more than 100% when the lighting period prolonged. The effects of photoperiod on nutritional quality of the three kinds of lettuce differed when the light quality varied. When under RB 1:2 light, total phenols and flavonoid relative contents, ascorbic acid and soluble protein contents dropped greatly after treated with lighting period extension. And anthocyanin and soluble sugar contents of red lettuce improved significantly when lighting period extended, while ascorbic acid and soluble protein contents decreased. Total phenols relative content of purple lettuce increased, but ascorbic acid content reduced. However, when under RB 2:1 light, total phenols and flavonoid relative contents of green lettuce increase remarkably, but ascorbic acid content lessened. And phenols and flavonoid relative contents, ascorbic acid, soluble sugar and soluble protein contents of red lettuce dropped strikingly. Total phenols relative content of purple lettuce improved significantly under treatment lighting period extension. To summarize，extending lighting period could enhance the yield of the three kinds of lettuce, and this phenomenon could be free from the effect of light quality. Extension of lighting period could lifted the contents of anthocyanin and soluble sugar of red lettuce under RB 1:2 light. While under RB 2:1 light, nutritional quality of green lettuce and purple lettuce could be improved greatly by lighting period extension. Reference | Related Articles | Metrics Cited: Baidu(3)

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Research Progresses in Yield Forecasting Method Based on Crop Growth Simulation Model in China HUANG Wan-hua1,4,XUE Chang-ying2,LI Zhong-hui3,YANG Xiao-guang4(1.Institute of Meteorological Sciences of Hunan Province,Changsha 410007,China;2.Institute of Meteorological Sciences of Henan Province,Zhengzhou 450003;3.Institute of Meteorological Sciences of Jiangxi Province,Nanchang 330046; 4.College of Resources and Environment,China Agricultural University,Beijing 100193) Chinese Journal of Agrometeorology    2009, 30 (S1): 140-143.   Abstract （15502）      PDF（pc） （1672KB）（2269）       Knowledge map    Save The development processes of yield forecasting methods and crop growth simulation models were introduced firstly,as well as the current applications status of main yield forecasting methods.It is prospected that applications of crop simulation models in yield forecasting would be an inevitable trend.Yield forecasting by crop simulation models is based on mechanisms of crop growth and development,and is a dynamic forecasting method.Its applications in food crops and other economic crops have obtained relatively good results.However,the operational dynamic model of yield forecasting based on crop simulation model still needs to be established,and this would become the main direction for yield forecasting. Related Articles | Metrics Cited: Baidu(29)

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Effects of Biochar on the Key Soil Nitrogen Transformation Processes in Agricultural Soil ZHANG Xing, ZHANG Qing-wen, LIU Xing-ren, XU Ying-chun，REN Jian-qiang Chinese Journal of Agrometeorology    2015, 36 (06): 709-716.   DOI: 10.3969/j.issn.1000-6362.2015.06.007 Abstract （957）      PDF（pc） （484KB）（2260）       Knowledge map    Save Biochar, as an unique soil amendment, can effectively improve soil structure, improve the ability of absorbing nutrients, reduce greenhouse gas emissions and increase biological nitrogen fixation. Therefore, it has great prospects in agriculture production and mitigating climate change. Biochar input will directly affect the agricultural soil nitrogen cycle and transformation, so this review focuses on the effects of biochar on soil nitrogen transformation processes such as nitrogen mineralization, nitrification, denitrification, the relevant nitrogen loss, and biological nitrogen fixation processes and relevant mechanisms. Based on the review on published literature, we proposed that the future research should strengthen the mechanism nitrogen transformation and the long-term positive or negative effects of biochar on environment, to carry out research on related microbial community diversity, abundance and activity in terms of soil, as well as biochar studies should be based on a unified standard to clearly distinguish the effect of different biochar and its mechanism. Reference | Related Articles | Metrics Cited: Baidu(10)

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Study on the Influences and Countermeasures of Climatic Change to the Sustainable Development of Water Resources in Beijing Area WU Chun-yan,XUAN Chun-yi,LIU Zhong-li(Beijing City Climatic Centre,Beijing 100089,China) Chinese Journal of Agrometeorology    2009, 30 (S2): 200-204.   Abstract （11296）      PDF（pc） （902KB）（2257）       Knowledge map    Save Water is seriously insufficient in Beijing.Now average possession quantity of water per citizen is 300m3 in Beijing,only 4 percent of average value of the world and 16 percent of the whole China.With the development of the city,the shortage of water resources will be an obstacle of the sustainable development in Beijing.In this paper,characteristics,the status and shortcoming of water resource utilization in Beijing were analyzed,including surface water and ground water.Climate change and its influences on water resource were analyzed emphatically.In addition,demand and possible supply quantity of water resource in the future fifty years was predicted.Based on the above analyses,some meteorological countermeasures were presented to prevent the serious shortage of water resource in order to maintain its sustainable development and utilization. Related Articles | Metrics Cited: Baidu(7)

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Analysis of Drought-flood Spatial-temporal Characteristics Based on Standard Precipitation Index(SPI) in Heibei Province during 1965-2005 CHE Shao-jing1,2,LI Chun-qiang3,SHEN shuang-he1(1.School of Applied Meteorology,NUIST,Nanjing 210044,China;2.Shijiazhuang Meteorologocal Bureau,Shijiazhuang 050081;3.Meteorological Institute of Hebei Province/Hebei Provincial Key Lab for Meteorology and Eco-environment,Shijiazhuang 050021) Chinese Journal of Agrometeorology    Abstract （7451）      PDF（pc） （945KB）（2213）       Knowledge map    Save Drought is one of the major natural hazards in Hebei province.Based on standard precipitation index(SPI),the spatial-temporal characteristics of drought-flood in Hebei province during 1965-2005 were studied by empirical orthogonal function method.The results showed that drought-flood varies with time,in total.Drought was more severe in the periods of 1965-1972 and 1997-2005,and flood was more frequent in 1970s and early 1990s.Occurrence of drought in spring and autumn tends to decrease,while in summer tends to be more severe.There was no obvious change for winter.However,extreme drought and water logging hazards were frequent in Hebei province since 1990s.Hebei could be divided into four sub-regions(east,north,south and west) in terms of the spatial distribution of drought and water logging.There was a consistence among these regions and the whole province,though there were north-south gaps and east-west gaps.The most drastic drought-flood changes had occurred in the 1990s.These Changes were also obvious in the early 1970s,but lest obvious in the 1980s.But,the change rate had been high in the south part since 2000. Related Articles | Metrics Cited: Baidu(43)

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Estimation of Rice Canopy LAI with Different Growth Stages Based on Hyperspectral Remote Sensing Data XIN Ming-yue, YIN Hong, CHEN Long, ZHANG Mei-ling, REN Zhi-yong, MIAO Jing Chinese Journal of Agrometeorology    2015, 36 (06): 762-768.   DOI: 10.3969/j.issn.1000-6362.2015.06.014 Abstract （710）      PDF（pc） （665KB）（2155）       Knowledge map    Save To explore the relationship between hyperspectral reflectance, vegetation indexes and LAI, the experiment was conducted from 2011 and 2012. Rice canopy hyperspectral data was measured at different growth stages by using the ASD Field Spec Hand Held portable field spectrometer, rice canopy leaf area index (LAI) was collected at the same time by using SUNSCAN canopy analysis system. LAI estimation model was established and the simulation results were compared. The results showed that LAI was better simulated by spectral log form heading stage to maturity stage, but could not simulated by reflectance during the stage of tillering to heading. Among all of vegetation indexes estimation methods, LAI was best simulated by MSAVI (modified soil-adjusted vegetation index) [758, 805], the correlation coefficient between simulating data and testing data was significant (R=0.7754). From the heading stage to maturity stage, LAI was best simulated by MSAVI [758, 817], the correlation coefficient between simulating data and testing data was significant (R=0.6488). The results indicated that MSAVI could simulated LAI of rice at different growth stages. Reference | Related Articles | Metrics Cited: Baidu(8)

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Analysis of Distributional Characteristics and Primary Causes of Maize Drought in Northeast China ZHANG Shu jie1，ZHANG Yu shu1，SUN Long yu2，JI Rui peng1，CAI Fu1，WU Jin wen1，Li Guang xia3 Chinese Journal of Agrometeorology    2013, 34 (03): 350-357.   DOI: 10.3969/j.issn.1000-6362.2013.03.016 Abstract （15806）      PDF（pc） （3102KB）（2153）       Knowledge map    Save Based on the observational data collected from 124 meteorological stations in Northeast China from 1961 to 2008, water deficit indices were defined for maize in different growth stage, and then spatial and temporal distributional characteristics of drought were analyzed on the basis of inter annual variation features. The results indicated that the occurrences of drought showed distinct seasonal and regional features. In the view of growth stage, drought occurred with high frequency at the seedling stage and the frequency decreased evidently at afterwards growth stages. Slight drought happened in higher frequency than moderate and severe drought. The main cause of drought was the seasonal distribution characteristics of precipitation. In the view of spatial scale, the occurrence frequency of drought for different degrees reduced gradually from west to east. The most frequent areas of drought were northwestern of Liaoning province, western of Jilin province and southwest of Heilongjiang province, respectively. For interdecadal variation characteristics, drought frequency decreased from 1960s to 1980s, increased slightly in the early of 1990s and increased apparently after the middle of 1990s, especially increased dramatically from 2000 to 2004. In view of different growth stage in the years, the trend of drought frequency was seedling stage＞jointing booting stage＞ filling maturation stage＞tasseling flowering stage. The most frequent water stress was slight drought for seedling stage during 1960s and 1990s, slight drought stress occurred frequently at tasseling and flowering stage during 1990s. All kinds of drought happened frequently at kernel filling to mature stage from 2001-2008. Thus it can be seen that the occurrence frequency of drought has increased in this area over the past several decades, especially in the critical period of yield formation of maize, and has dramatically adverse effect on maize yield. The results show positive significance to better understand the causes and distribution characteristics of drought for different growth stages of maize in Northeast China and then it will be beneficial to take appropriate measures. Related Articles | Metrics Cited: Baidu(8)

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Climate Change during Winter Wheat Growing Period and Its Impacts on Winter Wheat Yield in Puy ang of Henen Province ZHANG Ming-jie,WANG Yun-hang,ZHAO Gui-fang,LIU Jiu-ling,FU Ye-zhen,LIU Juan,TIAN Guo-wei(Meteorological Bureau of Puyang City of Henan Province,Puyang 457000,China) Chinese Journal of Agrometeorology    Abstract （16544）      PDF（pc） （887KB）（2123）       Knowledge map    Save The variation characteristics of the temperature,precipitation and sunshine on the multiple time scales and their impacts on winter wheat growth and yield in Puyang of the Henen Province was analyzed by using the linear analysis method.The results showed that the anomalous temperature in the winter abruptly changed from-0.3℃ to 0.8℃ in 1991,while the anomalous temperature in the spring abruptly changed from-0.6℃ to 0.9℃ in 1997.The climate temperature coefficient for each ten days of the 23 ten days among 25 ten days of the whole year was positive,and its maximum value was 0.42 in the last ten day in March.The cold days and cool cold days averagely decreased 4.30 days and 1.81 days for each ten years during the winter wheat growing period respectively.The phase of rainfall anomaly percentage was obvious in winter.The extreme events increased,while it reduced in spring.The changes of the precipitation tended to be moderate.The precipitation climatic trends coefficient for each ten days of the 17 ten days among 25 ten days of the whole year was positive and its maximum value was in the second ten day in January.Whereas the overall change trend in precipitation was not obvious.The abnormal sunshine in winter abruptly decreased from 0.1 in 1984 to-2.2 in 1985,while it changed from 0.3 in 1983 to-1.1 in 1984 in spring.The climatic trends coefficient for each ten days of 19 ten-day periods among 25 ten days of the whole year was negative and its absolute values were larger in the second ten days in January and the first ten days in June.It was concluded that the warming up during winter wheat growing period in winter was obvious and benefit for the over-wintering of the winter wheat.The decline of the precipitation during winter wheat growing period had adverse impacts on the stability of the winter wheat yield.The rapid reduction of the sunshine hours,particularly in the late growing period,was not favorable for the maturity of the winter wheat. Related Articles | Metrics Cited: Baidu(63)

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Advances in Research of Impacts of Climate Change on Agriculture ZHAO Jun-fang1,GUO Jian-ping1,ZHANG Yan-hong2,XU Jing-wen3(1. Chinese Academy of Meteorological Sciences,Beijing 100081,China; 2. National Meteorological Center,Beijing 100081; 3. College of Resource and Environment,Sichuan Agricultural University,Yaan 625014) Chinese Journal of Agrometeorology    Abstract （13404）      PDF（pc） （957KB）（2098）       Knowledge map    Save In this paper we summarized a series of scientific achievements about the impacts of climate change on agriculture in recent decades,mainly about the impacts of climate change on crop growth,yield,quality,planting distribution,agriculture cost,and so on. Finally,based on the current researches,we pointed out the insufficiency which existed at present studies and some areas to be improved,and then put forward prospects in the future. Related Articles | Metrics

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Responses of Summer Maize Main Phenology to Climate Change in the North China Plain MENG Lin,LIU Xin jian, WU Ding rong, WANG Chun yi Chinese Journal of Agrometeorology    2015, 36 (04): 375-382.   DOI: 10.3969/j.issn.1000-6362.2015.04.001 Abstract （12775）      PDF（pc） （3488KB）（2082）       Knowledge map    Save Knowledge about response of crop phenology to current climate change is of much importance to predict its response to future climate change scenario,since it helps reduce the prediction uncertainty.In this paper,based on phonological observation data of summer maize from agricultural meteorological station records and daily meteorological data during 1981-2009 in the North China Plain (NCP),responses of summer maize phenology to climate change were analyzed using linear regression method and significance analysis.Results showed that:(1) over the past 30 years,minimum and average temperature increased significantly(P<0.05)during summer maize growing season in NCP with a trend of decline negatively correlated with latitude.Sunshine hours declined substantially (P<0.01)and precipitation change was not significant;(2)The dates of main growth period of summer maize in the Beijing-Tianjin-Hebei region and Shandong province delayed significantly(P<0.05),while in the Henan province they advanced significantly(P<0.05);(3)The whole growth days in NCP increased with a rate of 2.72d·10y-1(P<0.01),and those in the Beijing-Tianjin-Hebei region had the highest rate of 3.36d·10y-1;(4)The whole growth days were mainly negatively correlated with average temperature during the same period. Regression coefficient varied in -7.16～3.17.The reproductive days were also negatively correlated with average temperature.Regression coefficient varied in -3.56～1.87.The results indicated that while temperature increased by 1oC,the daysof whole growth period and reproductively stage of summer maize would shorten by 2.71d and 1.07d, respectively.Summer maize in different regions of NCP had different ways of responding to climate change.Suitable seeding time and variety types should be selected according to local response features. Reference | Related Articles | Metrics Cited: Baidu(28)

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Effect of Hose Material and Length on the Stability Time of CO2 /H2O Analyzer in Farmland Microclimate WANG Zhi-wei, WANG Meng, WANG Qiu-tao, ZHU Xiao-wei, WANG Chun-shan, WANG Hao, Chinese Journal of Agrometeorology    DOI: 10.3969/j.issn.1000-6362.2019.12.006

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The Climatic Change Characteristics and Analysis on Effect of Wheat Yield SHANG Zhao-tang(Jiangsu Meteorological Bureau,Nanjing 21009,China) Chinese Journal of Agrometeorology    2009, 30 (S2): 185-188.   Abstract （15002）      PDF（pc） （1898KB）（2072）       Knowledge map    Save The temperature and sunshine and precipitation and wind and wheat yield of all counties in Jiangsu province are analyzed.It is shown that climatic variability annual mean temperature is 0.16～0.45℃/10 years,and the average is 0.28℃/10 years,annual total sunshine is-155.72～38.89hr/10 years,and the average is-65.37hr/10 years,annual total precipitation is-28.00～37.09mm/10 years,and the average is 5.77mm/10 years,annual mean wind speed is-0.57～-0.03 m/s per 10 years,and the average is-0.30 m/s per 10 years,rising rate of wheat is-3.00～0.98% per 10 years,and the average is-1.23% per 10 years.Whole provincial climate changes warmer and warmer,sunshine and precipitation and wheat yield increase in some area or decrease in other area,wind speed decreases.The climate and wheat yield show a regional pattern,the diversity of Sunan and Suzhong and Subei is explicit.The climatic variability of rising rate of wheat yield is not linearity relation with temperature and sunshine and precipitation sand wind speed. Related Articles | Metrics Cited: Baidu(1)

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Analysis of Changing Characteristics of Agricultural Climate Resources in the Main Planted Areas of Winter Wheat in China over Last 50 Years CAO Qian1,YAO Feng-mei1,LIN Er-da2,ZHANG Jia-hua3,WANG Pei-juan3,QIN Peng-cheng1(1.College of Earth Science,Graduate University of Chinese Academy of Sciences,Beijing 100049,China;2.Institute of Environment and Sustainable Development in Agriculture,Chinese Academy of Agricultural Sciences,Beijing 100081;3.Chinese Academy of Meteorological Sciences,Beijing 100081) Chinese Journal of Agrometeorology    Abstract （15742）      PDF（pc） （846KB）（2021）       Knowledge map    Save Based on the daily meteorological data of 113 weather stations in the main planted areas of winter wheat from 1961 to 2008,the characteristic of agricultural climate resources during the growing period of winter wheat was analyzed by using Mann-Kendall rank analysis and linear trend estimate method.The results indicated that the accumulated temperature higher than 0℃ during the growing period of winter wheat significantly increased,and it had an abrupt change in the beginning of 1990s.The precipitation and reference evapotranspiration had little change during the growing period of winter wheat over last 50 years,however,the fluctuation of precipitation and reference evapotranspiration inter-annual was intensified.The reference evapotranspiration decreased in 1980s and increased slightly after 1990s.The first frost date was delayed and the last frost date was ahead of time,which caused decrease of the frost days over the last 50 years.The first frost date delayed significantly and the last frost date became earlier since the beginning of 2000s. Related Articles | Metrics Cited: Baidu(66)

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Changes of High Temperature Events During Rice Growth Period in MLRYR Under RCP Scenarios FENG Ling-zhi, XIONG Wei, JU Hui, CAO Yang, YANG Di Chinese Journal of Agrometeorology    2015, 36 (04): 383-392.   DOI: 10.3969/j.issn.1000-6362.2015.04.002 Abstract （10693）      PDF（pc） （4014KB）（2011）       Knowledge map    Save Based on historical weather data from 1981 to 2009 and future climate data generated by HadGEM2-ES simulation with RCP2.6 and RCP8.5 emission scenarios from 2021 to 2050, frequency, duration and intensity of high temperature events during rice growth period in middle and lower reaches of Yangtze River (MLRYR) were analyzed by heat stress days (HSD), maximum continuous heat stress days (MCD) and heat degree days (HDD). The results indicated that high temperature events increased significantly in MLRYR in 1981-2009. Tmax（average of the maximum daily temperature）, HSD, MCD, HDD increased by 0.51℃·10y-1, 3.9d·10y-1, 0.6d·10y-1 and 8.2℃·d·10y-1, respectively. Except for MCD, detectable increases of Tmax, HSD and HDD were at the year around 2001-2002, indicating frequency and intensity of high temperature rise sharply since 2002. The largest increase of high temperature events mainly located in the south of the region. Relative to the reference period of 1981-2009, high temperature events increased substantially in 2021-2050. Tmax, HSD, MCD and HDD increased by 1.5℃, 11.3d, 5.6d and 45.3℃·d, respectively, under RCP2.6 scenario, and increased by 1.7℃, 15.4d, 6.2d, 61.1℃·d, respectively, under RCP8.5 scenario. The risk of extreme high temperature events increased more under RCP8.5 scenario than RCP2.6 scenario relative to baseline condition. Changes of Tmax, HSD and MCD showed similar spatial pattern, all increased from southeast to northwest. But for HDD, the largest increase mainly located in the middle of the region. Frequency, duration and intensity of high temperature events all largely increased in the regions of the middle and north part of Hubei, Anhui, Hunan and Jiangxi Province under future RCP scenarios. Adjusting the planting day and replacing high temperature tolerated varieties are the effective measures to reducing high temperature stress to rice in these regions. Reference | Related Articles | Metrics

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Characteristic Analysis of the Climatic Revolution in the Yellow River Extreme Temperature Index WU Can, ZHAO Jing-bo, WANG Ge-hui Chinese Journal of Agrometeorology    2015, 36 (05): 525-535.   DOI: 10.3969/j.issn.1000-6362.2015.05.001 Abstract （11122）      PDF（pc） （3887KB）（1948）       Knowledge map    Save In this paper, the spatiotemporal variation of extreme temperature events were investigated based on the daily maximum and minimum temperature data observed by 59 meteorological stations for the period 1963-2013 in the Yellow River Basin(YRB), with the help of liner regression, Mann-Kendall test, wavelet analysis, principal component analysis and correlation analysis. The results showed that, (1)cool days, cool nights, ice days, frost days and cold speel duration days displayed significant negative trend at rates of 1.06, 1.93, 2.40, 3.36 and1.12d·10y-1, respectively(P＜0.001), while warm days, warm nights, summer days, tropical nights, warm speel duration days and growing season length exhibited significant positive trend at rates of 1.56, 2.22, 2.66, 1.56, 1.48 and 3.47d·10y-1 (P＜0.001), respectively. Furthermore, the trends for annual minimum value of daily minimum (maximum) temperature, annual maximum value of daily minimum (maximum) and diurnal temperature range were 0.25(0.4), 0.18(0.27) and -0.09℃·10y-1 (P＜0.05), respectively. (2)The six sub-region’s extreme temperature indices remained same variation tendency, while the extreme temperature events of north-central Ningxia and south–central Inner Mongolia were more significant. (3)The change range of night indices(warm nights, cold night) were larger than those day indices (warm days, cold days), the range of variation in cold indices (annual minimum value of daily minimum/maximum) were smaller than warm indices (annual maximum value of daily minimum/maximum). (4)The upper-middle of Yellow River were more sensitive than downstream for the extreme temperatures change. (5)All of 16 indices had short cycles of 3 and 7 years, and had long cycles of 26 years, while warm/cold spell duration days, diurnal temperature range and growing season length also had another cycle of 16 years. (6)Besides, annual minimum value of daily minimum, diurnal temperature range and cold spell duration days, the time points of abrupt change for others were concentrated in 1990s. Reference | Related Articles | Metrics Cited: Baidu(6)

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Responses of Winter Wheat Phenology to Accumulated Temperature during Growing Periods in Northern China Wheat Belt MA Qian-qian，HE Yong，ZHANG Meng-ting，ZHANG Cong，XU Yin-long Chinese Journal of Agrometeorology    DOI: 10.3969/j.issn.1000-6362.2018.04.003

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Technological Options of Regional Agricultural Adaptation to Climate Change in China WANG Ya-qiong,MA Shi-ming(Institute of Environment and Sustainable Development in Agriculture,Chinese Academy of Agricultural Science,Key Laboratory of Agro-environment and Climate Change,The Ministry of Agriculture of China,Beijing 100081,China) Chinese Journal of Agrometeorology    2009, 30 (S1): 51-56.   Abstract （15187）      PDF（pc） （917KB）（1946）       Knowledge map    Save The geographic differences in China are distinct and the condition of agricultural production is diversity in different areas.Choosing the agricultural adaptation technologies to climate change according local conditions and making use of the benefit of climate change and mitigate its adverse effects are becoming very important.According to the current research results and agricultural practices in China,the actual and potential adaptation technologies were summarized.Two kinds of the adaptation technology were identified,namely adaptation measures and adaptation technology.Finally the remained existing problems were briefly analyzed in the adaptation research. Related Articles | Metrics Cited: Baidu(12)

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Application of Fourier Model Based on BP Filter in Crops Yield Prediction WANG Gui-zhi, HU Hui, CHEN Ji-bo, WU Xian-hua Chinese Journal of Agrometeorology    2015, 36 (04): 472-478.   DOI: 10.3969/j.issn.1000-6362.2015.04.011 Abstract （11225）      PDF（pc） （768KB）（1923）       Knowledge map    Save In order to improve the accuracy of yield prediction, we attempted to combine the power spectrum analysis (BP filter) in economics and the Fourier model in statistics, by using BP filter to choose the cycle, which had a great impact on the climate yield fluctuation, and established Fourier model to predict the climatic yield. At the same time, by using polynomial to predict the trend yield and the lag model to correct the residual. Grain yield data from 1961 to 2000 was taken as training data, by using three methods, Fourier method and polynomial lag method, BP neural network and grey model to construct the equations, and grain yield from 2001 to 2012 was used to test the three models. The three methods were compared by the fitting results. The results showed that the model was significant and the relative errors were all less than 5%. The predicted grain yields according to this model were at 6018.6-6466.7kg·ha?1 from 2013 to 2017. Meanwhile, the relative errors by BPNN were small, but the model could not be explained intuitively. The relative errors by the grey model reached up to 35%, it existed large differences with the actual yield. The results indicated that, in terms of predicting the grain yield, the Fourier model based on BP filter and the polynomial lag model had higher prediction accuracy and was more intuitive, which could not only predict the future grain yield, but also predict the impact of the future climate change on the grain yield. Reference | Related Articles | Metrics Cited: Baidu(2)

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A Review on Impacts of Climate Change on Water Resource and Agriculture in Africa YANG Di, XIONG Wei, XU Yin-long Chinese Journal of Agrometeorology    DOI: 10.3969/j.issn.1000-6362.2016.03.001