Crop consumptive water use is recognized as a key element to understand regional water management performance. This study documents an attempt to apply a regional evapotranspiration model(SEBAL) and crop information...Crop consumptive water use is recognized as a key element to understand regional water management performance. This study documents an attempt to apply a regional evapotranspiration model(SEBAL) and crop information for assessment of regional crop(summer maize and winter wheat) actual evapotranspiration(ET a) in Huang-Huai-Hai(3H) Plain, China. The average seasonal ET a of summer maize and winter wheat were 354.8 and 521.5 mm respectively in 3H Plain. A high-ET a belt of summer maize occurs in piedmont plain, while a low ET a area was found in the hill-irrigable land and dry land area. For winter wheat, a high-ET a area was located in the middle part of 3H Plain, including low plain-hydropenia irrigable land and dry land, hill-irrigable land and dry land, and basin-irrigable land and dry land. Spatial analysis demonstrated a linear relationship between crop ET a, normalized difference vegetation index(NDVI), and the land surface temperature(LST). A stronger relationship between ET a and NDVI was found in the metaphase and last phase than other crop growing phase, as indicated by higher correlation coefficient values. Additionally, higher correlation coefficients were detected between ET a and LST than that between ET a and NDVI, and this significant relationship ran through the entire crop growing season. ET a in the summer maize growing season showed a significant relationship with longitude, while ET a in the winter wheat growing season showed a significant relationship with latitude. The results of this study will serve as baseline information for water resources management of 3H Plain.展开更多
The sown area of winter wheat in the Huang-Huai-Hai(HHH) Plain accounts for over 65% of the total sown area of winter wheat in China. Thus, it is important to monitor the winter wheat growth condition and reveal the...The sown area of winter wheat in the Huang-Huai-Hai(HHH) Plain accounts for over 65% of the total sown area of winter wheat in China. Thus, it is important to monitor the winter wheat growth condition and reveal the main factors that influence its dynamics. This study assessed the winter wheat growth condition based on remote sensing data, and investigated the correlations between different grades of winter wheat growth and major meteorological factors corresponding. First, winter wheat growth condition from sowing until maturity stage during 2011–2012 were assessed based on moderate-resolution imaging spectroradiometer(MODIS) normalized difference vegetation index(NDVI) time-series dataset. Next, correlation analysis and geographical information system(GIS) spatial analysis methods were used to analyze the lag correlations between different grades of winter wheat growth in each phenophase and the meteorological factors that corresponded to the phenophases. The results showed that the winter wheat growth conditions varied over time and space in the study area. Irrespective of the grades of winter wheat growth, the correlation coefficients between the winter wheat growth condition and the cumulative precipitation were higher than zero lag(synchronous precipitation) and one lag(pre-phenophase precipitation) based on the average values of seven phenophases. This showed that the cumulative precipitation during the entire growing season had a greater effect on winter wheat growth than the synchronous precipitation and the pre-phenophase precipitation. The effects of temperature on winter wheat growth varied according to different grades of winter wheat growth based on the average values of seven phenophases. Winter wheat with a better-than-average growth condition had a stronger correlation with synchronous temperature, winter wheat with a normal growth condition had a stronger correlation with the cumulative temperature, and winter wheat with a worse-than-average growth condition had a stronger correlation with the pre-phenophase temperature. This study may facilitate a better understanding of the quantitative correlations between different grades of crop growth and meteorological factors, and the adjustment of field management measures to ensure a high crop yield.展开更多
Climate change has been documented as a major threat to current agricultural strategies.Progress in understanding the impact of climate change on crop yield is essential for agricultural climate adaptation,especially ...Climate change has been documented as a major threat to current agricultural strategies.Progress in understanding the impact of climate change on crop yield is essential for agricultural climate adaptation,especially for the Huang-Huai-Hai Plain(3H Plain)of China which is an area known to be vulnerable to global warming.In this study,the impacts of climate change on winter wheat(Triticum aestivum L.)yield between the baseline period(1981–2010)and two Representative Concentration Pathways(RCP8.5 and RCP4.5)were simulated for the short-term(2010–2039),the medium-term(2040–2069)and the long-term(2070–2099)in the 3H Plain,by considering the relative contributions of changes in temperature,solar radiation and precipitation using the DSSAT-CERES-Wheat model.Results indicated that the maximum and minimum temperatures(TMAX and TMIN),solar radiation(SRAD),and precipitation(PREP)during the winter wheat season increased under these two RCPs.Yield analysis found that wheat yield increased with the increase in SRAD,PREP and CO2 concentration,but decreased with an increase in temperature.Increasing precipitation contributes the most to the total impact,increasing wheat yield by 9.53,6.62 and 23.73%for the three terms of future climate under RCP4.5 scenario,and 11.74,16.38 and 27.78%for the three terms of future climate under RCP8.5 scenario.However,as increases in temperature bring higher evapotranspiration,which further aggravated water deficits,the supposed negative effect of increasing thermal resources decreased wheat yield by 1.92,4.08 and 5.24%for the three terms of future climate under RCP4.5 scenario,and 3.64,5.87 and 5.81%for the three terms of future climate under RCP8.5 scenario with clearly larger decreases in RCP8.5.Counterintuitively,the impacts in southern sub-regions were positive,but they were all negative in the remaining sub-regions.Our analysis demonstrated that in the 3H Plain,which is a part of the mid-high latitude region,the effects of increasing thermal resources were counteracted by the aggravated water deficits caused by the increase in temperature.展开更多
为探究黄淮海旱作区耕层土壤质量特征,基于土壤物理、化学及剖面特征,建立黄淮海旱作区耕层土壤质量评价指标体系,运用主成分分析法构建耕层质量评价指标的最小数据集(minimum data set,MDS),结合障碍因子诊断模型揭示黄淮海旱作区耕层...为探究黄淮海旱作区耕层土壤质量特征,基于土壤物理、化学及剖面特征,建立黄淮海旱作区耕层土壤质量评价指标体系,运用主成分分析法构建耕层质量评价指标的最小数据集(minimum data set,MDS),结合障碍因子诊断模型揭示黄淮海旱作区耕层土壤质量特征及其障碍因素。结果表明:1)研究区耕层土壤质量评价最小数据集由土壤有机质、土壤阳离子交换量、土壤pH、耕作层厚度、耕作层穿透阻力和耕作层压实度构成,基于最小数据集和全指标数据集的耕层土壤质量指数间显著正相关(R2=0.61,P<0.05),Nash有效系数和相对偏差系数分别为0.601和0.181,表明最小数据集的指标能够代替全部数据集指标对黄淮海旱作区耕层质量进行评价;2)研究区耕层土壤质量总体处于中等水平,质量指数为0.25~0.61;适宜耕层各项指标如下:耕作层厚度不小于17.20 cm,耕作层穿透阻力不大于896.10 kPa,耕作层土壤压实度不大于78.01%,pH值为8.01~9.37,有机质不小于17.87 g/kg,阳离子交换量不小于21.13 cmol/kg;3)黄淮海旱作区存在明显的障碍类型,耕层障碍可分为薄化紧实与养分贫瘠障碍耕层、养分贫瘠耕层、土壤紧实型耕层3类。其中有机质含量低、阳离子交换量低、耕作层压实度过高是黄淮海旱作区耕层质量主要障碍。研究为黄淮海旱作区耕层土壤质量提升和改善提供理论支撑。展开更多
为探索未来气候变化对黄淮海地区农业气候资源和夏玉米气候适宜度及灾害的影响,以黄淮海地区1981-2021年56个农业气象观测站夏玉米生育期观测资料、84个气象站逐日气象要素观测资料及中尺度区域气候模式(Regional Climate Model Version...为探索未来气候变化对黄淮海地区农业气候资源和夏玉米气候适宜度及灾害的影响,以黄淮海地区1981-2021年56个农业气象观测站夏玉米生育期观测资料、84个气象站逐日气象要素观测资料及中尺度区域气候模式(Regional Climate Model Version 3,RegCM3)输出的未来气候情景(Intergovernmental Panel on Climate Change Special Report on Emissions Scenarios A1B,IPCC SRES A1B)下黄淮海2022-2100年0.25°×0.25°共897个格点逐日气象资料为基础,分析未来黄淮海地区光温水等农业气候资源演变特征,建立黄淮海夏玉米生长发育气候适宜度模型及气候适宜度灾害指数模型,研究未来气候变化对黄淮海夏玉米气候适宜度的影响特征,预估夏玉米农业气象灾害发生风险及特点。结果表明:(1)2022-2100年黄淮海地区夏玉米生长季热量资源呈明显增加趋势,降水资源总体为微弱上升趋势且阶段性变化明显,光照资源变化趋势不明显。(2)2022-2100年夏玉米全生育期气候适宜度呈总体平稳略有下降波动趋势,并具有一定阶段特征和发育期差异。各生育期相比,播种出苗期气候适宜度相对最差,成熟期最好。(3)全生育期温度适宜度总体呈稳定波动下降趋势,说明未来气候明显变暖趋势对夏玉米生长总体不利;水分适宜度和光照适宜度总体稳定、变化趋势不明显,说明未来水分和光照资源对夏玉米的生长基本有利。(4)由各年代来看,2080年代、2090年代温度适宜度最差,2020年代最好;2030年代水分适宜度最差,2080年代最好;2080年代、2090年代光照适宜度明显偏差,2020年代、2030年代明显偏好。综合来看,2061-2100年期间夏玉米气候适宜度总体偏差,2020年代最好。(5)抽雄吐丝期遭受高温热害风险最大,三叶至七叶期发生旱涝风险最大,播种出苗期发生寡照(连阴雨)风险最大,而成熟期发生各种农业气象灾害风险均最小。(6)2080-2098年期间夏玉米拔节期、抽雄吐丝期、灌浆至乳熟期遭受高温热害的风险大;2031-2035年、2046-2056年播种出苗至拔节期发生阶段性严重旱涝灾害风险等级高。2030年代和2040年代及2026年、2080-2093年播种出苗期出现寡照(连阴雨)的风险较大。展开更多
A two-way coupling simulation from the NCAR's regional climate model REGCM2 (called R-2 hereafter) and the SUCROS model for crop growth developed by the Wageningen Agricultural University,the Netherlands (both mod...A two-way coupling simulation from the NCAR's regional climate model REGCM2 (called R-2 hereafter) and the SUCROS model for crop growth developed by the Wageningen Agricultural University,the Netherlands (both models,when in combination,denoted as R/S) are carried out on the interactions between crops and atmosphere in the Huang-Huai-Hai Plain in East China. Evidence suggests that the R/S simulations can depict pretty well the dynamic biology-based interactions between the factors,revealing reasonably both the day-to-day variations in leaf area index (LAI) and land surface physics therein,and particularly the improvement of the simulation, independently by use of the R-2,of summer precipitation and surface temperature in the research region.As a result,the present research is of significance to the further understanding of the interaction between the climate system and the terrestrial ecological systems.展开更多
基金supported by the National Key Technologies R&D Program of China during the 12th Five-Year Plan period (2012BAD09B01)the National Basic Research Program of China (973 Program, 2012CB955904)the National Science Foundation for Young Scientists of China (41401510)
文摘Crop consumptive water use is recognized as a key element to understand regional water management performance. This study documents an attempt to apply a regional evapotranspiration model(SEBAL) and crop information for assessment of regional crop(summer maize and winter wheat) actual evapotranspiration(ET a) in Huang-Huai-Hai(3H) Plain, China. The average seasonal ET a of summer maize and winter wheat were 354.8 and 521.5 mm respectively in 3H Plain. A high-ET a belt of summer maize occurs in piedmont plain, while a low ET a area was found in the hill-irrigable land and dry land area. For winter wheat, a high-ET a area was located in the middle part of 3H Plain, including low plain-hydropenia irrigable land and dry land, hill-irrigable land and dry land, and basin-irrigable land and dry land. Spatial analysis demonstrated a linear relationship between crop ET a, normalized difference vegetation index(NDVI), and the land surface temperature(LST). A stronger relationship between ET a and NDVI was found in the metaphase and last phase than other crop growing phase, as indicated by higher correlation coefficient values. Additionally, higher correlation coefficients were detected between ET a and LST than that between ET a and NDVI, and this significant relationship ran through the entire crop growing season. ET a in the summer maize growing season showed a significant relationship with longitude, while ET a in the winter wheat growing season showed a significant relationship with latitude. The results of this study will serve as baseline information for water resources management of 3H Plain.
基金financially supported by the National Nonprofit Institute Research Grant of Chinese Academy of Agricultural Sciences(IARRP-2015-8)the European Union seventh framework"MODEXTREME"(modelling vegetation response to extreme events)programme(613817)
文摘The sown area of winter wheat in the Huang-Huai-Hai(HHH) Plain accounts for over 65% of the total sown area of winter wheat in China. Thus, it is important to monitor the winter wheat growth condition and reveal the main factors that influence its dynamics. This study assessed the winter wheat growth condition based on remote sensing data, and investigated the correlations between different grades of winter wheat growth and major meteorological factors corresponding. First, winter wheat growth condition from sowing until maturity stage during 2011–2012 were assessed based on moderate-resolution imaging spectroradiometer(MODIS) normalized difference vegetation index(NDVI) time-series dataset. Next, correlation analysis and geographical information system(GIS) spatial analysis methods were used to analyze the lag correlations between different grades of winter wheat growth in each phenophase and the meteorological factors that corresponded to the phenophases. The results showed that the winter wheat growth conditions varied over time and space in the study area. Irrespective of the grades of winter wheat growth, the correlation coefficients between the winter wheat growth condition and the cumulative precipitation were higher than zero lag(synchronous precipitation) and one lag(pre-phenophase precipitation) based on the average values of seven phenophases. This showed that the cumulative precipitation during the entire growing season had a greater effect on winter wheat growth than the synchronous precipitation and the pre-phenophase precipitation. The effects of temperature on winter wheat growth varied according to different grades of winter wheat growth based on the average values of seven phenophases. Winter wheat with a better-than-average growth condition had a stronger correlation with synchronous temperature, winter wheat with a normal growth condition had a stronger correlation with the cumulative temperature, and winter wheat with a worse-than-average growth condition had a stronger correlation with the pre-phenophase temperature. This study may facilitate a better understanding of the quantitative correlations between different grades of crop growth and meteorological factors, and the adjustment of field management measures to ensure a high crop yield.
基金supported by the National Natural Science Foundation of China (41401510 and 41675115)the Agricultural Science and Technology Innovation Program of Chinese Academy of Agricultural Sciences (2017–2020)
文摘Climate change has been documented as a major threat to current agricultural strategies.Progress in understanding the impact of climate change on crop yield is essential for agricultural climate adaptation,especially for the Huang-Huai-Hai Plain(3H Plain)of China which is an area known to be vulnerable to global warming.In this study,the impacts of climate change on winter wheat(Triticum aestivum L.)yield between the baseline period(1981–2010)and two Representative Concentration Pathways(RCP8.5 and RCP4.5)were simulated for the short-term(2010–2039),the medium-term(2040–2069)and the long-term(2070–2099)in the 3H Plain,by considering the relative contributions of changes in temperature,solar radiation and precipitation using the DSSAT-CERES-Wheat model.Results indicated that the maximum and minimum temperatures(TMAX and TMIN),solar radiation(SRAD),and precipitation(PREP)during the winter wheat season increased under these two RCPs.Yield analysis found that wheat yield increased with the increase in SRAD,PREP and CO2 concentration,but decreased with an increase in temperature.Increasing precipitation contributes the most to the total impact,increasing wheat yield by 9.53,6.62 and 23.73%for the three terms of future climate under RCP4.5 scenario,and 11.74,16.38 and 27.78%for the three terms of future climate under RCP8.5 scenario.However,as increases in temperature bring higher evapotranspiration,which further aggravated water deficits,the supposed negative effect of increasing thermal resources decreased wheat yield by 1.92,4.08 and 5.24%for the three terms of future climate under RCP4.5 scenario,and 3.64,5.87 and 5.81%for the three terms of future climate under RCP8.5 scenario with clearly larger decreases in RCP8.5.Counterintuitively,the impacts in southern sub-regions were positive,but they were all negative in the remaining sub-regions.Our analysis demonstrated that in the 3H Plain,which is a part of the mid-high latitude region,the effects of increasing thermal resources were counteracted by the aggravated water deficits caused by the increase in temperature.
文摘为探索未来气候变化对黄淮海地区农业气候资源和夏玉米气候适宜度及灾害的影响,以黄淮海地区1981-2021年56个农业气象观测站夏玉米生育期观测资料、84个气象站逐日气象要素观测资料及中尺度区域气候模式(Regional Climate Model Version 3,RegCM3)输出的未来气候情景(Intergovernmental Panel on Climate Change Special Report on Emissions Scenarios A1B,IPCC SRES A1B)下黄淮海2022-2100年0.25°×0.25°共897个格点逐日气象资料为基础,分析未来黄淮海地区光温水等农业气候资源演变特征,建立黄淮海夏玉米生长发育气候适宜度模型及气候适宜度灾害指数模型,研究未来气候变化对黄淮海夏玉米气候适宜度的影响特征,预估夏玉米农业气象灾害发生风险及特点。结果表明:(1)2022-2100年黄淮海地区夏玉米生长季热量资源呈明显增加趋势,降水资源总体为微弱上升趋势且阶段性变化明显,光照资源变化趋势不明显。(2)2022-2100年夏玉米全生育期气候适宜度呈总体平稳略有下降波动趋势,并具有一定阶段特征和发育期差异。各生育期相比,播种出苗期气候适宜度相对最差,成熟期最好。(3)全生育期温度适宜度总体呈稳定波动下降趋势,说明未来气候明显变暖趋势对夏玉米生长总体不利;水分适宜度和光照适宜度总体稳定、变化趋势不明显,说明未来水分和光照资源对夏玉米的生长基本有利。(4)由各年代来看,2080年代、2090年代温度适宜度最差,2020年代最好;2030年代水分适宜度最差,2080年代最好;2080年代、2090年代光照适宜度明显偏差,2020年代、2030年代明显偏好。综合来看,2061-2100年期间夏玉米气候适宜度总体偏差,2020年代最好。(5)抽雄吐丝期遭受高温热害风险最大,三叶至七叶期发生旱涝风险最大,播种出苗期发生寡照(连阴雨)风险最大,而成熟期发生各种农业气象灾害风险均最小。(6)2080-2098年期间夏玉米拔节期、抽雄吐丝期、灌浆至乳熟期遭受高温热害的风险大;2031-2035年、2046-2056年播种出苗至拔节期发生阶段性严重旱涝灾害风险等级高。2030年代和2040年代及2026年、2080-2093年播种出苗期出现寡照(连阴雨)的风险较大。
基金National Key Basic Research and Development Program granted by the Ministry of Science and Technology of China(MOST)with project number G1999043500the Innovation Program of the Chinese Academy of Sciences with project number ZKCX2-SW-210the National Natural Science Foundation of China(NSFC)under Grant No.49975016
文摘A two-way coupling simulation from the NCAR's regional climate model REGCM2 (called R-2 hereafter) and the SUCROS model for crop growth developed by the Wageningen Agricultural University,the Netherlands (both models,when in combination,denoted as R/S) are carried out on the interactions between crops and atmosphere in the Huang-Huai-Hai Plain in East China. Evidence suggests that the R/S simulations can depict pretty well the dynamic biology-based interactions between the factors,revealing reasonably both the day-to-day variations in leaf area index (LAI) and land surface physics therein,and particularly the improvement of the simulation, independently by use of the R-2,of summer precipitation and surface temperature in the research region.As a result,the present research is of significance to the further understanding of the interaction between the climate system and the terrestrial ecological systems.