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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 （16281）      PDF（pc） （2307KB）（23173）       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 | Comments（0）

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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 （16042）      PDF（pc） （2473KB）（11737）       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 | Comments（0） Cited: Baidu(1)

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Research Progress in Application of Crop Growth Models SUN Yang-yue, SHEN Shuang-he Chinese Journal of Agrometeorology    2019, 40 (07): 444-459.   DOI: 10.3969/j.issn.1000-6362.2019.07.004 Abstract （2104）      PDF（pc） （792KB）（6946）       Knowledge map    Save The crop growth model can not only simulate the dynamic growth of crops on a single point scale, but also evaluate the relationship between crop growth status and environmental factors from a systematic perspective. This paper reviews latest works related to crop growth model, with particular focuses on the research of climate change to agricultural production and application of crop growth model at regional scale. In addition, this paper summarizes the current research on the development of agricultural decision support systems(DSS) with crop growth models as the core. The research is intended to promote crop growth models to be more widely used in researches on ecology, agriculture, regional climate resources and climate change filed. Research results show that the crop growth model is widely and deeply used in China and abroad. Under the background of climate change, the application research of crop growth model to the impact of historical period climatic conditions and agrometeorological disasters on crop production status and yield has been extensive and relatively mature. Using global climate models (GCMs) or regional climate models (RCMs) to construct future climate change scenarios, coupled with crop growth models, has evolved into an important tool for assessing the impact of future climate change on agricultural production. By integrating and consolidating multi-crop growth model, multi-climate model ensemble simulation and optimizing climate simulation data correction methods, the uncertainty of climate change impact assessment on agricultural production can be effectively reduced. The remote sensing data assimilation technology can apply the site model to the regional scale to evaluate the impact of different meteorological factors on agricultural production, broaden the application scale range of the crop growth model and effectively improve the accuracy of crop yield estimation. The research and application of agricultural decision support system with crop growth model as the core is more and more diversified, and it is an important tool to assist agricultural production management and decision-making. However, due to the complexity of crop ecosystems, there are still great uncertainties in crop growth model simulation results. In the future, the exploration of crop growth and process coupling mechanism needs to be strengthened in order to improve the model and promote it more widely used. Reference | Related Articles | Metrics | Comments（0）

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Progress of DSSAT-CSM Model Application in Maize Planting Research WANG Yu-ling, XU Chun-xia, BI Ya-qi, FAN Jun, GUO Rui-jia, WANG Jing, FAN Xing-ming Chinese Journal of Agrometeorology    2023, 44 (06): 492-501.   DOI: 10.3969/j.issn.1000-6362.2023.06.004 Abstract （553）      PDF（pc） （448KB）（4720）       Knowledge map    Save Crop models play an important role in the simulation, evaluation and prediction of maize production. Through literature review, the authors systematically summarized the development and application of DSSAT-CSM model in China; the composition, development and shortcomings of DSSAT-CSM model; and the process and results of using crop model to simulate the key factors affecting maize growth. It provided reference and technical support for crop model to optimize maize growth and yield by adjusting crop variety parameters, temperature variation, nitrogen fertilizer measures, irrigation system and key soil factors. Uncertainty and deficiencies of current crop models were the key factors that limited simulation accuracy and efficiency. Therefore, standardizing data collection, coupling multiple types of crop models, optimizing dynamic management processes, and modifying and optimizing models are the future trends of crop models. Related Articles | Metrics | Comments（0）

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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 （15749）      PDF（pc） （3315KB）（3935）       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 | Comments（0） Cited: Baidu(6)

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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 （14803）      PDF（pc） （1287KB）（3514）       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 | Comments（0） Cited: Baidu(15)

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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 （13134）      PDF（pc） （3488KB）（3493）       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 | Comments（0） Cited: Baidu(28)

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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 （16489）      PDF（pc） （13964KB）（3467）       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 | Comments（0）

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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 （16146）      PDF（pc） （2536KB）（3403）       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 | Comments（0） Cited: Baidu(9)

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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    2018, 39 (12): 778-785.   DOI: 10.3969/j.issn.1000-6362.2018.12.002 Abstract （580）      PDF（pc） （840KB）（3386）       Knowledge map    Save Studying the smash riding conservation tillage with green manure on rice filed soil infiltration is playing an importance role in improving the conservation tillage systems on rice field. In order to find out the effect of smash ridging conservation tillage with green manure on rice field soil infiltration in first season and its delayed action, a field experiment was carried out under 2 tillage modes and 4 manuring modes in Guangxi Academy of Agricultural Sciences from 2016 to 2017. The study measured the soil compaction and soil infiltration by SC-900 and single ring after early and late rice harvesting, and used cutting ring to measure the soil bulk density after late rice harvesting. The results showed that smash ridging conservation tillage with green manure had no significant effect on 0-15cm soil compaction, and can reduce plough layer soil compaction. At the same time, smash ridging conservation tillage with green manure can reduce soil stable infiltration rate in first season and second season, which result to soil infiltration capacity fell. Smash ridging conservation tillage with green manure increased soil bulk density and reduced soil porosity, which made soil ramming. Smash ridging conservation tillage with green manure had significantly effect on soil infiltration and soil structure in second season. Reference | Related Articles | Metrics | Comments（0）

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Research Progresses in Microbial Fuel Cells for Antibiotic Wastewater Treatment YANG Zhen-zhen, ZHU Chang-xiong, Tian Yun-long, Li Hong-na Chinese Journal of Agrometeorology    2020, 41 (05): 275-287.   DOI: 10.3969/j.issn.1000-6362.2020.05.002 Abstract （706）      PDF（pc） （333KB）（3318）       Knowledge map    Save  Antibiotics are widely used in the fields of medical treatment, animal husbandry, as well as aquaculture. A large amount of the parent antibiotics used are released into the environment through discharge via feces and urine, posing potential risks to human health and ecosystems. It also brings the issues of antibiotic resistant bacteria (ARB) and antibiotic resistance genes (ARGs). Antibiotic resistance has become the research focus in recent years. Microbial fuel cells (MFCs), which utilize microorganisms on the anode to produce electricity through biomass and simultaneously realize the purpose of wastewater treatment, has been widely studied these days. As a result, the aim of this paper was to review the degradation efficiency and degradation pathways of antibiotics, as well as the variation of microbial communities in MFCs. The effect and mechanism were also considered when MFCs was coupled with other technologies. Finally, the latest research on the on-line monitoring of antibiotics by MFCs sensor is also summarized. In total, the results indicated that MFCs showed a good removal effect on antibiotics. The removal efficiency of antibiotics and resistance genes and the microbial community of anodes are different with the reactor configuration, antibiotic types, as well as the initial concentrations and operation time. The coupling of MFCs and constructed wetlands is beneficial to enhance the removal efficiency of antibiotics, providing a new direction for the practical application of MFCs. As a biosensor, MFCs realizes the on-line monitoring of antibiotics content in wastewater by measuring the output voltage, but it is still in its infancy. However, it has been widely used in the on-line monitoring of biochemical oxygen demand and heavy metals, which can provide a reference for the on-line monitoring of antibiotics. Above all, MFCs can effectively remove antibiotics from wastewater, but the control of ARGs still needs to be further studied. The long-term stable operation and practical application of MFCs are the research focus in the future on the pollution control of antibiotic wastewaters. These conclusions will provide theoretical basis for the effective treatment of the follow-up antibiotic wastewater. Reference | Related Articles | Metrics | Comments（0）

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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 （1381）      PDF（pc） （484KB）（3219）       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 | Comments（0） Cited: Baidu(10)

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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    2018, 39 (04): 233-244.   DOI: 10.3969/j.issn.1000-6362.2018.04.003 Abstract （975）      PDF（pc） （1817KB）（3207）       Knowledge map    Save Based on data collected from 19 agro-meteorological stations located in the winter wheat belt of Northern China from 1993 to 2013, this study analyzed temporal and spatial variability of winter wheat phenology and accumulated temperature in each growing period. Pearson correlation analysis and other methods were used to analyze the effects of accumulated temperature in each growing period on winter wheat phenology. The results showed that,（1）the spatial distribution of ≥0℃accumulated temperature during sowing to emergence and regreening to jointing periods along with the negative accumulated temperature value during the overwintering period (NATop) increased from east to west, and ≥0℃ accumulated temperature during jointing to heading, heading to milk-ripe, milk-ripe to maturity and sowing to maturity periods increased from southeast to northwest, while the distribution during emergency to start of overwintering period was contrary. The ≥0℃accumulated temperature for jointing to heading and milk-ripe to maturity periods decreased significantly at 21% of the investigated stations. The value of NATop, ≥0℃accumulated temperature during regreening to jointing, heading to milk-ripe and sowing to maturity periods increased significantly at 42%, 26%, 37% and 21% of the investigated stations, respectively. The variations of ≥0℃ accumulated temperature during sowing to emergency and emergency to the start of overwintering periods were much smaller. (2) Sowing and emergency date in the east was later than the counterpart in the west, of which variation trend was contrary to heading, milk-ripe and maturity date. Start of overwintering date in the southeast was later than the counterpart in the northwest, of which variation trend was contrary to regreening date. The stations of earlier jointing date were mainly located in the east. Sowing, emergency, regreening, jointing, milk-ripe and maturity date delayed significantly at 21%, 16%, 37%, 26%, 42% and 21% of the investigated stations, respectively. And most of these stations were in the east of the study area. Overwintering and heading date changed significantly only at 5% of the investigated stations. (3) Correlation analysis showed that the correlation between ≥0℃ accumulated temperature (or NATop) and multiple development stages was significant, which indicated that the growth and development of winter wheat might be directly or indirectly influenced by the accumulated temperature during growing periods. The NATop had the highest correlation with regreening, jointing, heading, milk-ripe and maturity date, and showed consistent spatiotemporal variation characteristics with multiple post-winter development stages. Spatiotemporal variability of the NATop might be the factor that caused spatiotemporal variations of winter wheat post-winter phenology. Reference | Related Articles | Metrics | Comments（0）

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Advances of Impacts and Adaptation of Climate Change on Crop Rotations in China LIU Huan, XIONG Wei, LI Ying-chun, YANG Di Chinese Journal of Agrometeorology    2017, 38 (10): 613-631.   DOI: 10.3969/j.issn.1000-6362.2017.10.001 Abstract （1204）      PDF（pc） （789KB）（3080）       Knowledge map    Save As a major agricultural practice in mainland China, crop rotation that experiences multiple harvests during a certain period and in a same land plays a vital role in increasing its land productivity and securing national food production. To devise better adaption and increase national food production under a fasting warming world, it is necessary to add the understandings regarding statues of current crop rotation systems in China, impacts of climate change on the systems, and responses of the systems to various warming trajectories. This paper reviews latest works related to crop rotations, with particular focuses on the responses of crop rotations to historical and future climate change. Most studies investigate the interactions between crop rotation and climate change based on three methods: crop modeling, statistical analysis, and field experiment, each method exhibits specific defects and merits. Authors summarize current understandings about the influence of climate change on crop rotation from four aspects: crop growth, crop spatial distribution, cost and benefits, and production risks. Authors explore adaptive practices in rotations and in the end recommend research directions for the future. This review increases the understandings about the impact of climate change on crop rotations and provides useful information for developing wise rotation strategy in coping with climate change. Previous studies illustrated that climate change has already affected and would continue to influence crop rotations, but discrepancies existed among studies because differences in spatial and temporal scales, methodology, and research subjective. Majority of the studies showed that warmer climate and increasing heat resource made it possible for some rotation systems to move north, which had substantially altered crop patterns and shifted planting area for a few major crops. Higher temperature physiologically speeds up crop growth, accelerating crop phenology and leading to lower yield. But this acceleration, on the other hand, creates great opportunities for switching of crop varieties and replacement of crop type. The increases in total heat resources during the growing-season lead to spatial and temporal variations of climatic disasters, requiring reconsideration of conventional copping strategies. For example, although reduction of cold disaster has been observed in many crop areas, on the contrary, the occurrence of the cold disaster actually has increased recently in many crop areas due to shifting of planting boundaries and over-adaptations. Together with increased heat stresses under warming climate, these new disaster patterns posed additional threats for alleviation of agricultural climate disasters, jeopardizing the productivity, stability, and sustainability of many rotation systems. Theoretically, yield loss caused by climate change could be offset by appropriate adjustment of crop patterns, adoption of new crop varieties, such as cultivars with longer growth period, and optimization of management practices. However, because of complexity of the systems, we failed to make a concrete and consistent conclusion regarding the interactions between climate change and crop rotation based on reviewed researches. Future works are recommended to emphasize the integration of multi methods to increase understandings related to mechanism, comprehension, and systematization of crop rotation systems, and to pursue in-depth investigation with wider connection between climate change and crop rotation and decreasing research uncertainty. Reference | Related Articles | Metrics | Comments（0）

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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    2016, 37 (03): 259-269.   DOI: 10.3969/j.issn.1000-6362.2016.03.001 Abstract （1245）      PDF（pc） （523KB）（3069）       Knowledge map    Save Africa shares the lowest portion of greenhouse gases emission in the world both in total and per capita, yet she suffers mostly from climate change. Climate change affects Africa’s water resources, agriculture, biodiversity, human health, and national security. Food and water security are the two major challenges facing Africa whilst have been deteriorated by climate change. This study reviews the new findings of climate change impacts on water system and agriculture in Africa and their limitations, with the attempt to facilitate and promote enhanced researches related to climate change impact and vulnerability. Observation shows that climate change has led to rapid melting of glaciers, reduced rainfall and increased variability. Hydrological simulation demonstrates that further climate change would decrease precipitation and runoff in some areas, worsening current fragile water supply in most of Africa. Africa’s agriculture faces unprecedented challenges under climate change. Both observation and simulation indicate climate change posed negative effects on Africa’s agriculture. Increased risks of drought, changed growth season and decreased crop yield, would likely threat food security in Africa. Uncertainties in these studies mainly come from climate scenarios, methods, quality and quantity of data. Compared to other regions, Africa is short of comprehensive and in-depth researches related to climate change impact and vulnerability, therefore expects substantial investment on such activities to devise effective strategies in mitigating the negative effects of climate change on water resources and agriculture. Reference | Related Articles | Metrics | Comments（0）

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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 （965）      PDF（pc） （665KB）（3039）       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 | Comments（0） Cited: Baidu(8)

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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 （1041）      PDF（pc） （464KB）（3038）       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 | Comments（0） Cited: Baidu(3)

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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 （11478）      PDF（pc） （902KB）（2987）       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 | Comments（0） Cited: Baidu(7)

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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 （15350）      PDF（pc） （917KB）（2954）       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 | Comments（0） Cited: Baidu(12)

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Evapotranspiration Characteristics and Crop Coefficient Estimation of Paddy Rice GAO Lei, SHEN Shuang-he, SHAO Li-ying, CHU Rong-hao, TAN Shi-qi Chinese Journal of Agrometeorology    2016, 37 (02): 158-165.   DOI: 10.3969/j.issn.1000-6362.2016.02.005 Abstract （912）      PDF（pc） （5255KB）（2934）       Knowledge map    Save Based on evapotranspiration data in a lysimeter of paddy rice, the data of biological and meteorological during the growth season in Nanjing in 2012, the reference evapotranspiration (ET0), actual evapotranspiration (ETc), and actual crop coefficient (Kc) of paddy rice were calculated, and the crop coefficient model was established. The results showed that the daily ET0 changed as a single peak curve, with the peak at tillering-jointing stage. While the daily ETc changed as a two-peak type, with the peak at tillering and heading stages respectively. Both ET0 and ETc obvious varied as seasonal. The actual crop coefficient (Kc) was consistent with the K corrected by FAO, but their values generally differed. The relationship between establishing model and its affected factors was well, with their R2 = 0.887. A model describing relationships between daily Kc and biological factor (LAI) as well as environmental factors (air temperature, net solar radiation) was established and its estimate agreed very well with the actual crop coefficient, and the model was capable of predicting ETc of paddy rice (R2 = 0.943) from a formula ETc=KcET0 by use of the Kc estimates. This model could help simplify computation of crop coefficient and define the effect of different factors and know well its dynamic characteristics. Reference | Related Articles | Metrics | Comments（0） Cited: Baidu(2)

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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 （16110）      PDF（pc） （5049KB）（2899）       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 | Comments（0）

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Research Advances on Anti-transpirant HE Shuang1,LI Mao-song1,SONG Ji-qing1,WANG Dao-long2(1.Institute of Environment and Sustainable Development in Agriculture,CAAS,Beijing 100081,China;2.Institute of Agricultural Resources and Regional Planning,CAAS,Beijing 100081) Chinese Journal of Agrometeorology    2009, 30 (S1): 77-81.   Abstract （7579）      PDF（pc） （909KB）（2898）       Knowledge map    Save Chemical drought resistance technology is a new approach of water-saving technology.It aimed to increasing crop yields and improving water use efficiency,considering soil,crops,water surface together.The paper mainly described Anti-transpirant traits in drought resistance and water-saving technology,including the principles,the types,the current research situations and the applications. Related Articles | Metrics | Comments（0） Cited: Baidu(10)

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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 （15931）      PDF（pc） （5709KB）（2884）       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 | Comments（0） Cited: Baidu(6)

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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 （15694）      PDF（pc） （1672KB）（2839）       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 | Comments（0） Cited: Baidu(27)

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Characteristics of Evapotranspiration and Its Components Simulated Using Shuttleworth-Wallace Model in Rice Paddy Field WANG Yu, ZHOU Li, JIA Qing-yu, WANG Lei, XU Jun-liang Chinese Journal of Agrometeorology    2017, 38 (11): 709-719.   DOI: 10.3969/j.issn.1000-6362.2017.11.003 Abstract （688）      PDF（pc） （869KB）（2821）       Knowledge map    Save The simulation of evapotranspiration (ET) and its components in croplands is critical for the precise irrigation and accurate estimation of ecosystem productivity. Based on the eddy-covariance flux measurement and ancillary data during 2013-2015, evapotranspiration and its components were simulated using the Shuttleworth-Wallace model (S-W model) in a rice paddy field in Panjin. The controlling mechanism of the ratio of soil evaporation to evapotranspiration (ES/ET) was analyzed with the structural equation modeling (SEM) method. The results showed that: (1) the simulated ET was close to the observed ET in the late growing season, however, it was lower than the observed ET in the early growing season and higher in the peak growing season. (2) As for the seasonal variation, the simulated ET showed a drastic day-to-day fluctuation (0.5-10.4mm·d-1) but no clear seasonal pattern; the plant transpiration (TR) was higher in the peak growing season and lower at the start and the end of the growing season, with the range of 0.1-8.4mm·d-1; ES showed a U-type curve, with the range of 0.1-4.7mm·d-1. (3) The simulated mean annual ET was 892mm during 2013-2015. TR was equal to ES at the annual scale. As for the growing season scale, TR was the main consumer of the ET: TR was close to ES in the transplanting-tillering stage, while in the other growth stages and the whole growing season, TR was more than twice as ES. (4) The SEM results indicated that air temperature (Ta) was the primary controlling factor of the ES/ET (total effect=-0.82). Ta was shown to influence ES/ET both directly (direct effect=-0.50) and indirectly through its regulation on leaf area index (LAI, indirect effect=-0.32). In addition, the LAI and wind speed (WS) were also shown to have significant effects on ES/ET. ES/ET decreased with LAI (total effect=-0.39) and increased with WS (total effect=0.38). Reference | Related Articles | Metrics | Comments（0）

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Chinese Journal of Agrometeorology    2019, 40 (08): 1-.   Abstract （126）      PDF（pc） （1359KB）（2817）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Climate Suitability and Regionalization of Sugar Cane Cultivation in Hainan LIU Jian-bo1,PENG Yi1,CHEN Qiu-bo2(1.Environment and Plant Protection School,Hainan University,Danzhou 571737,China;2.Chinese Academy of Tropical Agricultural Sciences,Danzhou 571737) Chinese Journal of Agrometeorology    2009, 30 (S2): 254-256.   Abstract （9827）      PDF（pc） （796KB）（2815）       Knowledge map    Save By using 35 years data of 14 weather stations from 1971 to 2005 in Hainan and contrasting with main climatic index and climate condition for sugar cane cultivation and growth,hydrothermal condition of different region was analyzed in Hainan.Meanwhile,climate suitability was appraised.The results showed that the meteorological factors had little difference,and precipitation was the key factor for sugar cane cultivation.All regions were suitable to sugar cane planting except Dongfang city for precipitation<1000mm.Baisha,Qiongzhong,Dunchang,Wanning,Qionghai,Danzhou were the best regions,as the others were better regions. Related Articles | Metrics | Comments（0） Cited: Baidu(19)

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Evolution and Adaptive Management of Farming Tillage System Under Climate Change in the Loess Plateau DENG Hao-liang，ZHOU Hong，ZHANG Heng-jia，MO Fei，YANG Tong，KONG Wei-ping， Chinese Journal of Agrometeorology    2015, 36 (04): 393-405.   DOI: 10.3969/j.issn.1000-6362.2015.04.003 Abstract （14395）      PDF（pc） （795KB）（2798）       Knowledge map    Save Farming system generally consists of several components including soil system, crop system and regional climatic system which are relatively independent but closely associated with each other. It is involved crop cultivation pattern, crop type, weeds, pests and soil & water resource management in farmland and so on, which plays an important role in ecosystem management and sustainable agricultural development in the Loess Plateau. Over past fifty years (1951-2000), the annual average temperature increased by 1.1℃, and its variability wasenhanced gradually in the Loess Plateau. Complex spatial-temporal heterogeneity existed in the rainfall and heat resource distribution. The changing crop area, developing cropping system, and increased agriculture disasters have promoted the innovation of farm management, which exerted a far-reaching influence on local farming system. This paper summarized the characteristics and development trend of the changing climate, and the evolution of farming system (included the evolvements of crop type, soil moisture and nutrient characteristics) and cropping system (included water requirements, phenology, crop cultivars and yield) under climate change, the interaction between crops and soil and the affect of meteorological disasters on farming system in the Loess Plateau. The approaches and strategies of adaptive cropping system management under climate change were suggested. The aims to provide novel theoretical potential for farming tillage technology and field management, and seek coping strategies for sustainable regional development under climate change. Reference | Related Articles | Metrics | Comments（0） Cited: Baidu(7)

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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    2018, 39 (12): 796-804.   DOI: 10.3969/j.issn.1000-6362.2018.12.004 Abstract （1863）      PDF（pc） （1204KB）（2784）       Knowledge map    Save Pollen-mediated gene flow from rice is one of the main ways of transgenic escape. Therefore, it is great significance to master the rule of pollen diffusion for the study of gene flow. In this study, three treatments with different source size of 5m×5m(TR1), 10m×10m(TR2) and 15m×15m(TR3) were designed. Rice panicles per unit area, flowering spikelets per panicle, pollen grains for each spikelet and pollen depositions along the main wind direction were observed to calculate pollen source strength per unit area and effective source strength ratio. The effect of source size on pollen source strength, pollen deposition, effective source strength ratio and pollen diffusion distance was studied. The results showed that: (1) source size did not affect the pollen source strength per unit area, while it could only change the total source strength. The proportion of total source strength between TR1, TR2 and TR3 was 1:4:9. (2) Source size did not change the characteristic of pollen deposition along the main wind direction. The pollen deposition first had a rapid increase and then declined after the peaks within the source area. In the downwind, pollen deposition could be expressed as the negative exponential function of distance. (3) The pollen source size was larger, the pollen deposition at different distances was greater, and the pollen diffusion distance was increased accordingly. However, this effect would levelled off with a larger pollen source size. (4) 27.9%?33.4% of the effective source strength ratio for three treatments meant that only about 30 percent pollen could escape and dropped down out of the source area, which might lead to gene flow. But, the effective source strength ratio would gradually decrease, when the pollen source size was increasing. (5) There were similar effects of wind on pollen diffusion between different treatments. The effective source strength ratio was larger and the pollen diffusion distance was farther at higher wind speed. Wind direction mainly affects the effective source strength ratio. It should be noted that the wind had a more significant influence on the larger pollen source. Reference | Related Articles | Metrics | Comments（0）

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Research Advances in Herbage Plant Phenology and Phenological Model of Grassland FU Yu, PAN Xue-Biao Chinese Journal of Agrometeorology    2011, 32 (3): 319-325.   Abstract （9490）      PDF（pc） （919KB）（2764）       Knowledge map    Save Grassland ecosystems are unassailable associated with global change.In this paper we summarized the research advances in herbage plant phenology and phenological model of grassland.We searched many literatures and found that the changes of plant phenology could reflect some effects of climate change directly.The environmental driving factors such as temperature,light and water would have different effects in controlling the progress of phenology.The development of plant phenological model had strong trends toward dynamic phenological model based on plant development mechanism from statistical model in the beginning.However,less was known about natural grassland phenological model.Some existing phenological models only could be used for specific species simulation,some couldn′t be used for largescale region,and the others were lack of description in development progress.Because of these problems we should enhance the research about the relationship between plant phenology and climate factors,especially water effect.We should explore all the characteristic of grass in every phenology stage and verify the phenological model step by step.An accurate natural grassland phenological model will be benefit for the study of climate change. Related Articles | Metrics | Comments（0） Cited: Baidu(6)