为优化不同降水年型下春小麦高产稳产和高效利用水氮资源的管理决策方案,利用2009-2012年内蒙古自治区额尔古纳市上库力农场试验站与拉布大林农场试验站春小麦(内麦19)的试验观测资料,确定APSIM-wheat模型中小麦生长发育关键参数;基于...为优化不同降水年型下春小麦高产稳产和高效利用水氮资源的管理决策方案,利用2009-2012年内蒙古自治区额尔古纳市上库力农场试验站与拉布大林农场试验站春小麦(内麦19)的试验观测资料,确定APSIM-wheat模型中小麦生长发育关键参数;基于校准后的APSIM-wheat模型模拟分析1967-2017年雨养条件下春小麦生长发育过程,并依据降水量划分了3种降水年型(干旱、平水和湿润年型),根据土壤水分亏缺指数(soil water deficit on photosynthesis,SWD_(ef))确定最优水分管理时期;设计8个灌溉量梯度(15、30、45、60、90、120、150和180 mm)和13个施N量梯度(30、45、60、75、90、105、120、150、180、210、240、270和300 kg·hm^(-2))情景模式,结合水氮管理决策的遴选关键指标[水分利用效率(water use efficiency,WUE)、氮肥利用效率(nitrogen use efficiency,NUE)和产量],探究不同气候年型下最优春小麦水氮管理模式。结果表明:(1)校准后的APSIM-wheat模型春小麦发育期模块(出苗期、抽穗期和成熟期)模拟值与观测值的均方根误差(root mean square error,RMSE)在1.17~3.64 d范围内,归一化均方根误差(normalized root mean square error,NRMSE)在0.82%~1.90%范围内;产量模块模拟值与观测值的RMSE为371.50 kg·hm^(-2),NRMSE为8.54%,说明APSIM-wheat模型可以较好地反映不同降水年型下小麦的动态生长发育过程。(2)雨养条件下春小麦分蘖期—拔节期、拔节期—抽穗期和抽穗期—开花期的SWD_(ef)较低,且在生育期内仅灌溉一次的前提下,拔节期灌溉可以减轻干旱胁迫并显著提高产量。(3)干旱、平水和湿润年型春小麦拔节期最优水氮管理模式分别为灌溉量60 mm和施氮量105 kg·hm^(-2)、灌溉量60 mm和施氮量120 kg·hm^(-2)、灌溉量30 mm和施氮量150 kg·hm^(-2),其产量分别为4810.96±551.43、5378.06±768.86和6421.33±454.09 kg·hm^(-2)。展开更多
水分和氮肥是制约旱地农业生产的重要因素。基于2013—2022年内蒙古自治区突泉春玉米发育期、单产和田间管理数据,对农业生产系统模型(agricultural production system simulator,APSIM)调参验证;基于验证后的模型,结合1981—2022年突...水分和氮肥是制约旱地农业生产的重要因素。基于2013—2022年内蒙古自治区突泉春玉米发育期、单产和田间管理数据,对农业生产系统模型(agricultural production system simulator,APSIM)调参验证;基于验证后的模型,结合1981—2022年突泉气象数据,设计不同水分亏缺程度下水氮管理情景,以春玉米单产、水氮用量和效率为指标,提出春玉米最优水氮管理措施,并分析不同降水年型下春玉米适宜灌溉量和施氮量。结果表明:APSIM对春玉米出苗-开花日数、出苗-成熟日数和单产模拟值与实测值的归一化均方根误差分别为1.3%、1.2%和2.8%,APSIM可定量模拟春玉米发育期和单产。综合春玉米单产、灌溉量、施氮量、水分生产力和氮肥农学效率,最优管理措施为0~100 cm土壤剖面深度下水分亏缺程度为60%时补充灌溉,灌溉量为171.0 mm,施氮量为197.8 kg·hm^(-2)。当春玉米生长季降水量为200~400、401~600 mm和601~800 mm时,适宜的灌溉量分别为233.0~283.5、110.5~148.4 mm和125.0~155.0 mm,施氮量分别为176.9~219.3、218.3~241.5 kg·hm^(-2)和211.8~249.9 kg·hm^(-2)。展开更多
Trading water for carbon has cautioned large-scale afforestation in global drylands.However,model simulations suggested that the consumption of soil water could be partially offset by increasing precipitation due to v...Trading water for carbon has cautioned large-scale afforestation in global drylands.However,model simulations suggested that the consumption of soil water could be partially offset by increasing precipitation due to vegetation feedback.A systematic meta-analysis of long-term and large-scale field observations is urgently required to address the abovementioned limitations,and the implementation of large-scale afforestation since 1978 in northern China provides an ideal example.This study collected data comprising 1226 observations from 98 sites in northern China to assess the variation in soil water content(SWC)with stand age after afforestation and discuss the effects of tree species,precipitation and conversions of land use types on SWC.We found that the SWC has been decreased by coniferous forest and broadleaf forest at rates of 0.6 and 3.2 mm decade-1,respectively,since 1978.There is a significant declining trend of SWC with the stand age of plantations,and the optimum growth stage for plantation forest is 0-20 a in northern China.However,we found increases in SWC for the conversion from grassland to forest and in the low-precipitation region,both are corresponding to the increased SWC in coniferous forest.Our study implies that afforestation might lead to a soil water deficit crisis in northern China in the long term at the regional scale but depends on prior land use types,tree taxa and the mean annual precipitation regime,which sheds light on decision-making regarding ecological restoration policies and water resource management in drylands.展开更多
文摘为优化不同降水年型下春小麦高产稳产和高效利用水氮资源的管理决策方案,利用2009-2012年内蒙古自治区额尔古纳市上库力农场试验站与拉布大林农场试验站春小麦(内麦19)的试验观测资料,确定APSIM-wheat模型中小麦生长发育关键参数;基于校准后的APSIM-wheat模型模拟分析1967-2017年雨养条件下春小麦生长发育过程,并依据降水量划分了3种降水年型(干旱、平水和湿润年型),根据土壤水分亏缺指数(soil water deficit on photosynthesis,SWD_(ef))确定最优水分管理时期;设计8个灌溉量梯度(15、30、45、60、90、120、150和180 mm)和13个施N量梯度(30、45、60、75、90、105、120、150、180、210、240、270和300 kg·hm^(-2))情景模式,结合水氮管理决策的遴选关键指标[水分利用效率(water use efficiency,WUE)、氮肥利用效率(nitrogen use efficiency,NUE)和产量],探究不同气候年型下最优春小麦水氮管理模式。结果表明:(1)校准后的APSIM-wheat模型春小麦发育期模块(出苗期、抽穗期和成熟期)模拟值与观测值的均方根误差(root mean square error,RMSE)在1.17~3.64 d范围内,归一化均方根误差(normalized root mean square error,NRMSE)在0.82%~1.90%范围内;产量模块模拟值与观测值的RMSE为371.50 kg·hm^(-2),NRMSE为8.54%,说明APSIM-wheat模型可以较好地反映不同降水年型下小麦的动态生长发育过程。(2)雨养条件下春小麦分蘖期—拔节期、拔节期—抽穗期和抽穗期—开花期的SWD_(ef)较低,且在生育期内仅灌溉一次的前提下,拔节期灌溉可以减轻干旱胁迫并显著提高产量。(3)干旱、平水和湿润年型春小麦拔节期最优水氮管理模式分别为灌溉量60 mm和施氮量105 kg·hm^(-2)、灌溉量60 mm和施氮量120 kg·hm^(-2)、灌溉量30 mm和施氮量150 kg·hm^(-2),其产量分别为4810.96±551.43、5378.06±768.86和6421.33±454.09 kg·hm^(-2)。
基金supported by the National Key Research and Development Program of China(2022YFF0801803)the National Natural Science Foundation of China(42161144008).
文摘Trading water for carbon has cautioned large-scale afforestation in global drylands.However,model simulations suggested that the consumption of soil water could be partially offset by increasing precipitation due to vegetation feedback.A systematic meta-analysis of long-term and large-scale field observations is urgently required to address the abovementioned limitations,and the implementation of large-scale afforestation since 1978 in northern China provides an ideal example.This study collected data comprising 1226 observations from 98 sites in northern China to assess the variation in soil water content(SWC)with stand age after afforestation and discuss the effects of tree species,precipitation and conversions of land use types on SWC.We found that the SWC has been decreased by coniferous forest and broadleaf forest at rates of 0.6 and 3.2 mm decade-1,respectively,since 1978.There is a significant declining trend of SWC with the stand age of plantations,and the optimum growth stage for plantation forest is 0-20 a in northern China.However,we found increases in SWC for the conversion from grassland to forest and in the low-precipitation region,both are corresponding to the increased SWC in coniferous forest.Our study implies that afforestation might lead to a soil water deficit crisis in northern China in the long term at the regional scale but depends on prior land use types,tree taxa and the mean annual precipitation regime,which sheds light on decision-making regarding ecological restoration policies and water resource management in drylands.
