施肥进步在粮食增产中的贡献及其地理分异

根据三个地点中长期田间试验联网研究发现,施肥在作物产量形成中的贡献受施肥制度和气候的热量因子所影响。在最佳施肥条件下,施肥在产量中的贡献率分别为海伦(温带)0．31,沈阳(暖温带)0．39和桃源(亚热带)0．42,存在明显的地理分异现象,由此可以得出,当其他技术条件不变时,施肥在产量中的贡献率最高可达30％～45％,随所在地区气候的热量条件而不同,通过对施肥与气候热量之间的交互影响研究还发现,沈阳与桃源间的交互影响远大于海伦与沈阳之间,有机肥与气候热量之间的交互影响大于化肥与热量之间的交互影响。     

农业生态系统养分循环再利用作物产量增益的地理分异

通过４个地点中长期田间试验联网比较获得以下结果,农业生态系统养分循环再利用的作物产量增益受气候的热量因素、化肥施用和养分循环再利用持续时间的长短等因素影响．在不施化肥情况下,保持０．８循环率养分循环再利用的平均粮食增产量自北向南分别是：温带黑龙江海伦２５３ｋｇ·ｈｍ－２（１０年平均）、暖温带辽宁沈阳１１２２ｋｇ·ｈｍ－２（６年）和喀左１３３２ｋｇ·ｈｍ－２（８年）、亚热带湖南桃源２８８４ｋｇ·ｈｍ－２（７年）;在施用ＮＰ化肥基础上保持养分循环再利用则分别为海伦２２５、沈阳６９４、喀左７８６、桃源１３２１ｋｇ·ｈｍ－２．循环回田的农家肥养分对作物增产有着明显的残效叠加作用,在施用ＮＰＫ化肥基础上保持养分循环再利用的作物增产率在试验期间的前３年平均为５％,后３年平均可上升至１４％．     

山西中条山植物区系的特征

中条山植物种类丰富,含种子植物１３２科,４７９属,９３５种。中条山植物区系起源古老。属的地理成分复杂,以温带成分占优势（２９５属,占６９．０９％）,反映出中条山植物区系的温带性质。中条山地处暖温带南部,成为热带、亚热带分布植物与温带分布植物的交汇地和由西南向东北分布的通道,说明中条山植物区系显著的过渡性。     

我国中东部不同气候带成熟林凋落物生产和分解及其与环境因子的关系

在大尺度气候梯度上研究森林凋落物生产分解与气候因子的关系,对于了解森林生态系统碳循环有着重要的作用.在寒温带的黑龙江呼中、温带的吉林长白山、暖温带的北京东灵山、北亚热带的湖北神农架、中亚热带的四川都江堰和浙江古田山,选择典型地带性成熟林,设置72个样地.观测和研究各地点森林凋落物的产量、凋落动态和分解速率,分析三者与环境因子之间的关系,结果表明:不同气候带森林生态系统凋落物年产量为亚热带森林＞暖温带森林＞温带森林＞寒温带森林.随纬度的增加,凋落物产量逐渐减少,凋落物产量与森林类型极显著相关,与年均温显著相关,而与年均降水关系不显著.凋落物生产动态表现为亚热带地区3个类型森林生态系统为双峰型,暖温带、温带、寒温带3个类型森林生态系统为单峰型.凋落物分解速率k表现出了与凋落物产量相似的变化趋势,即随着纬度的增加,分解速率k值逐渐降低,分解速率与年均温极显著相关,与年均降水显著相关.     

地带性植被

又称“显域植被”。地球上各种植被类型的分布,基本上取决于热量和水分等相应的气候条件。太阳辐射供给地球的热量,从赤道向南、北两极形成了不同的气候带,而在分布上与气候带界线大体相符的大面积的植被类型就称为地带性植被。所以地带性植被就住往被用来指水平地带上的各类典型植被,如热带雨林和季雨林、亚热带常绿阔叶林、温带草原、温带落叶阔叶林、温带荒漠、寒温带针叶林等。大多数生物圈保护区中的核心区,都包含了该保护区所在地的地带性植被的各种群落类型。     

中国种子植物属的地理成分分布格局及其与气候和地理的关系

基于覆盖了全中国各地理区的204个地区植物区系研究资料和这些地区的841个气象站资料,我们对中国种子植物属的地理成分分布格局及其与气候、经纬度分布的关系进行了研究,并结合这些分布格局探讨了中国植被分带和植物区系分区。结果如下：（1）除世界分布、栽培和入侵成分外,大部分中国种子植物属的地理成分的分布与地理相关密切;（2）热带分布属（泛热带分布、热带亚洲至热带美洲间断分布、旧世界热带分布、热带亚洲至热带大洋洲分布、热带亚洲至热带非洲分布及热带亚洲分布合计）占各地方植物区系的0．84％到94．38％,其最低值出现在中国西北部的新疆和青海地区,最高值出现在中国云南南部和海南;（3）热带分布属在〈北纬30°的地区占优势,除热带亚洲至热带美洲间断分布外,其它热带成分随纬度增加迅速减少;（4）温带分布属（北温带分布、东亚和北美间断分布、旧世界温带分布、温带亚洲分布、地中海区、西亚到中亚分布、中亚分布和东亚分布合计）占各地方植物区系的5．1％至98．83％,其最高值出现在中国西北部的新疆地区,最低值出现在中国云南南部和海南;（5）除东亚和北美间断分布、东亚分布和中国特有分布外,其它温带成分随纬度增加迅速增加;（6）在温带成分中,东亚和北美间断分布及东亚分布属主要出现在中国亚热带到暖温带地区,北温带分布、旧世界温带分布和温带亚洲分布属在中国北部占优势,而地中海区、西亚到中亚分布和中亚分布属则在中国西北部占优势;（7）除世界分布、东亚和北美间断分布、东亚分布和中国特有分布外,所有其他成分都显示了与气候因素（主要是气温和降雨量）密切相关,其中,北温带分布属与年均温和年降雨量最为密切相关。中国种子植物属的地理成分的分布格局与现行的中国植被分带和植物区系分区密切匹配。支持现行的中国植被分带和植物区系分区方案。     

中国油松林群落特征及生物量的研究

本文根据现有的文献资料,用植物生态学方法系统地分析了中国油松林群落的特征,按不同气候分区探讨了油松林群落的生物量,年净生产量及在不同层次上的分布,比较分析了不同气候区油松林年干物质累和只速率（ＮＰ／Ｂ）。结果表明：３０ａ 左右生的已郁闭的油松林群落生物量为暖温一不部湿润区（Ｃ）（１５１．１３ｔ／ｈｍ＾２）＞亚热带湿润区（Ｄ）（１４５．５９３ｔ／ｈｍ＾２） ＞暖温带南部湿润半湿润区（Ｂ）（１１３．９     

粳稻穗部结构性状的QTL分析

利用温带粳稻‘沈农265’和‘丽江新团黑谷’构建的重组自交系群体,在沈阳和哈尔滨两地对15个穗部结构性状进行了QTL分析。共检测到61个相关QTL,其中沈阳检测到的38个QTL在第1、4、6、11和12号染色体上形成了sir-QTL簇;而在哈尔滨检测到的31个QTL也在第3、9和10号染色体上形成了QTL簇。仅有8个QTL是在两地同时被检测到的,分别是控制一次枝梗数#＇．jqPBN4、控制穗长的qPL6和qPL9、控制一次枝梗实粒数的qGNPB4、控制一次枝梗颖花数的qTSNPBJ、控制结实率的qPSSIO、以及控制着粒密度qSD3和qSD9。其中,qPBN4（最高表型贡献率43．2％）、qPL9（最高表型贡献率63．2％）、qGNPB4（最高表型贡献率30．9％）和qSD9（最高表型贡献率42．9％）是主效QTL。通过进一步的分析发现控制穗长qPL9和控制着粒密度qSD94于DEPl所在区间。同时控制一次枝梗数和一次枝梗实粒数的位于第4号染色体长臂端的穗部结构主效QTL,qPBN4qGNPB4极富研究与应用价值。     

长青国家自然保护区种子植物区系初步分析

长青国家自然保护区有种子植物１４６科、７３０属、１７９２种。对保护区子植物区系统计分析的结果表明：（１）保护区内种子植物种类丰富,有裸子植物７科、１６属、２４种;被子植物１３９科、７１４属、１７６８种。（２）区系成分复杂,属的地理分布类型有１５个及变型１９个。其中温带分布占６５．２％,热带分布占３０．３％,温带分布占一定的优势,但同时表现出与热带－亚热带成分过渡的特点。（３）原始、残遗植物成分较     

水热积指数的估算及其在中国植被与气候关系研究中的应用

试图利用大气年平均气温、年降水量、可能蒸散和土壤水分平衡之间的关系建立一个水热积指数,并应用年平均气温、年土壤水分盈亏值和水热积指数三个气候变量来限定植物群落组合,构成一个圆形的生命-气候图式。根据全国689个标准气象台站的气候资料,计算了中国8个植被地带和26个亚地带的年平均气温、年土壤水分盈亏和水热积指数,绘制了各气候指标在中国的分布图及散点图,较好表现了中国各植被类型与气候指标的关系和格局,包括寒温带针叶林、冷温带针阔叶混交林、暖温带落叶阔叶林、亚热带常绿阔叶林、热带雨林和季雨林、温带草原、温带荒漠、青藏高原高寒植被,并得到了中国各植被地带的气候指标范围及界限。通过分析可以看出,年平均气温的等值线较好地反映了中国大陆的热量梯度,经度和纬度方向的区分均较明显;年土壤水分盈亏曲线的等值线则比较零乱;综合了热量和水分差异的水热积指数等值线与热量梯度和水分梯度均有一定的对应性,与植被类型的对应也较好。这是在宏观尺度上进行的植被与气候关系研究的一种尝试。     

不同施肥制度下茬口对作物产量增益、土壤养分状况及施肥贡献率的影响

根据1991—2002年共12年的田间试验,研究了不同施肥制度下,茬口对作物产量增益、土壤养分状况及对施肥贡献率的影响。结果表明:与重茬相比,豆茬较有利于作物的高产和稳产;施用氮肥使其产量增益减小,并且施用氮肥愈多,产量增益愈小;增施有机肥情况下,产量增益的减小更为明显。在土壤养分方面,豆茬不仅能提高土壤的供氮能力,还能改善土壤的供磷、供钾量,有助于土壤养分状况的改善;施肥制度进步能够提高作物产量;施肥贡献率随着施肥制度的进步逐渐增大,但其增幅趋缓;随着施肥制度的进步,施肥贡献率在豆茬和重茬上所表现的差异逐渐缩小,最后趋同。     

Impacts of climate change on paddy rice yield in a temperate climate

The crop simulation model is a suitable tool for evaluating the potential impacts of climate change on crop production and on the environment. This study investigates the effects of climate change on paddy rice production in the temperate climate regions under the East Asian monsoon system using the CERES‐Rice 4.0 crop simulation model. This model was first calibrated and validated for crop production under elevated CO₂ and various temperature conditions. Data were obtained from experiments performed using a temperature gradient field chamber (TGFC) with a CO₂ enrichment system installed at Chonnam National University in Gwangju, Korea in 2009 and 2010. Based on the empirical calibration and validation, the model was applied to deliver a simulated forecast of paddy rice production for the region, as well as for the other Japonica rice growing regions in East Asia, projecting for years 2050 and 2100. In these climate change projection simulations in Gwangju, Korea, the yield increases (+12.6 and + 22.0%) due to CO₂ elevation were adjusted according to temperature increases showing variation dependent upon the cultivars, which resulted in significant yield decreases (?22.1% and ?35.0%). The projected yields were determined to increase as latitude increases due to reduced temperature effects, showing the highest increase for any of the study locations (+24%) in Harbin, China. It appears that the potential negative impact on crop production may be mediated by appropriate cultivar selection and cultivation changes such as alteration of the planting date. Results reported in this study using the CERES‐Rice 4.0 model demonstrate the promising potential for its further application in simulating the impacts of climate change on rice production from a local to a regional scale under the monsoon climate system.     

Tradeoffs between Maize Silage Yield and Nitrate Leaching in a Mediterranean Nitrate-Vulnerable Zone under Current and Projected Climate Scenarios

Future climatic changes may have profound impacts on cropping systems and affect the agronomic and environmental sustainability of current N management practices. The objectives of this work were to i) evaluate the ability of the SALUS crop model to reproduce experimental crop yield and soil nitrate dynamics results under different N fertilizer treatments in a farmer’s field, ii) use the SALUS model to estimate the impacts of different N fertilizer treatments on NO₃^- leaching under future climate scenarios generated by twenty nine different global circulation models, and iii) identify the management system that best minimizes NO₃^- leaching and maximizes yield under projected future climate conditions. A field experiment (maize-triticale rotation) was conducted in a nitrate vulnerable zone on the west coast of Sardinia, Italy to evaluate N management strategies that include urea fertilization (NMIN), conventional fertilization with dairy slurry and urea (CONV), and no fertilization (N0). An ensemble of 29 global circulation models (GCM) was used to simulate different climate scenarios for two Representative Circulation Pathways (RCP6.0 and RCP8.5) and evaluate potential nitrate leaching and biomass production in this region over the next 50 years. Data collected from two growing seasons showed that the SALUS model adequately simulated both nitrate leaching and crop yield, with a relative error that ranged between 0.4% and 13%. Nitrate losses under RCP8.5 were lower than under RCP6.0 only for NMIN. Accordingly, levels of plant N uptake, N use efficiency and biomass production were higher under RCP8.5 than RCP6.0. Simulations under both RCP scenarios indicated that the NMIN treatment demonstrated both the highest biomass production and NO₃^- losses. The newly proposed best management practice (BMP), developed from crop N uptake data, was identified as the optimal N fertilizer management practice since it minimized NO₃^- leaching and maximized biomass production over the long term.     

Long-term soil transplant simulating climate change with latitude significantly alters microbial temporal turnover

To understand soil microbial community stability and temporal turnover in response to climate change, a long-term soil transplant experiment was conducted in three agricultural experiment stations over large transects from a warm temperate zone (Fengqiu station in central China) to a subtropical zone (Yingtan station in southern China) and a cold temperate zone (Hailun station in northern China). Annual soil samples were collected from these three stations from 2005 to 2011, and microbial communities were analyzed by sequencing microbial 16S ribosomal RNA gene amplicons using Illumina MiSeq technology. Our results revealed a distinctly differential pattern of microbial communities in both northward and southward transplantations, along with an increase in microbial richness with climate cooling and a corresponding decrease with climate warming. The microbial succession rate was estimated by the slope (w value) of linear regression of a log-transformed microbial community similarity with time (time–decay relationship). Compared with the low turnover rate of microbial communities in situ (w=0.046, P<0.001), the succession rate at the community level was significantly higher in the northward transplant (w=0.058, P<0.001) and highest in the southward transplant (w=0.094, P<0.001). Climate warming lead to a faster succession rate of microbial communities as well as lower species richness and compositional changes compared with in situ and climate cooling, which may be related to the high metabolic rates and intense competition under higher temperature. This study provides new insights into the impacts of climate change on the fundamental temporal scaling of soil microbial communities and microbial phylogenetic biodiversity.     

Negative effects of climate warming on maize yield are reversed by the changing of sowing date and cultivar selection in Northeast China

Northeast China (NEC) accounts for about 30% of the nation's maize production in China. In the past three decades, maize yields in NEC have increased under changes in climate, cultivar selection and crop management. It is important to investigate the contribution of these changing factors to the historical yield increases to improve our understanding of how we can ensure increased yields in the future. In this study, we use phenology observations at six sites from 1981 to 2007 to detect trends in sowing dates and length of maize growing period, and then combine these observations with in situ temperature data to determine the trends of thermal time in the maize growing period, as a measure of changes in maize cultivars. The area in the vicinity of these six sites accounts for 30% of NEC's total maize production. The agricultural production systems simulator, APSIM‐Maize model, was used to separate the impacts of changes in climate, sowing dates and thermal time requirements on maize phenology and yields. In NEC, sowing dates trended earlier in four of six sites and maturity dates trended later by 4–21 days. Therefore, the period from sowing to maturity ranged from 2 to 38 days longer in 2007 than it was in 1981. Our results indicate that climate trends alone would have led to a negative impact on maize. However, results from the adaptation assessments indicate that earlier sowing dates increased yields by up to 4%, and adoption of longer season cultivars caused a substantial increase in yield ranging from 13% to 38% over the past 27 years. Therefore, earlier sowing dates and introduction of cultivars with higher thermal time requirements in NEC have overcome the negative effects of climate change and turned what would have otherwise been a loss into a significant increase in maize yield.     

Contribution of crop model structure,parameters and climate projections to uncertainty in climate change impact assessments

Climate change impact assessments are plagued with uncertainties from many sources, such as climate projections or the inadequacies in structure and parameters of the impact model. Previous studies tried to account for the uncertainty from one or two of these. Here, we developed a triple‐ensemble probabilistic assessment using seven crop models, multiple sets of model parameters and eight contrasting climate projections together to comprehensively account for uncertainties from these three important sources. We demonstrated the approach in assessing climate change impact on barley growth and yield at Jokioinen, Finland in the Boreal climatic zone and Lleida, Spain in the Mediterranean climatic zone, for the 2050s. We further quantified and compared the contribution of crop model structure, crop model parameters and climate projections to the total variance of ensemble output using Analysis of Variance (ANOVA). Based on the triple‐ensemble probabilistic assessment, the median of simulated yield change was ?4% and +16%, and the probability of decreasing yield was 63% and 31% in the 2050s, at Jokioinen and Lleida, respectively, relative to 1981–2010. The contribution of crop model structure to the total variance of ensemble output was larger than that from downscaled climate projections and model parameters. The relative contribution of crop model parameters and downscaled climate projections to the total variance of ensemble output varied greatly among the seven crop models and between the two sites. The contribution of downscaled climate projections was on average larger than that of crop model parameters. This information on the uncertainty from different sources can be quite useful for model users to decide where to put the most effort when preparing or choosing models or parameters for impact analyses. We concluded that the triple‐ensemble probabilistic approach that accounts for the uncertainties from multiple important sources provide more comprehensive information for quantifying uncertainties in climate change impact assessments as compared to the conventional approaches that are deterministic or only account for the uncertainties from one or two of the uncertainty sources.     

Fertilization regulates the response of wheat yield to interannual temperature variation in North China

Aims Understanding the effect of long-term fertilization on the sensitivity of grain yield to temperature changes is critical for accurately assessing the impact of global warming on crop production. In this study, we aim to assess the impacts of temperature changes on grain yields of winter wheat (Triticum aestivum L.) under different fertilization treatments in a long-term manipulative experiment in North China.Methods We measured grain yields of winter wheat under four fertilization treatments at the Yucheng Comprehensive Experimental Station each year from 1993 to 2012. We also measured air temperature at 0200, 0800, 1400 and 2000h each day since 1 January 1980. We then used the first-difference method and simple linear regression models to examine the relationship of crop yield changes to mean air temperature, mean daytime and nighttime air temperature in crop growing seasons.Important findings We found that increases in mean daily temperature, mean daytime temperature and mean nighttime temperature each had a positive impact on the grain yield of winter wheat. Grain yield increased by 16.7–85.6% for winter wheat in response to a 1°C increase in growing season mean daily temperature. Winter wheat yield was more sensitive to variations of nighttime temperature than to that of daytime temperature. The observed temperature impacts also varied across different fertilization treatments. Balanced fertilization significantly enhanced grain yields for winter wheat under a warming climate. Wheat plots treated with nitrogen and phosphorous balanced fertilization (NPK- and NP-treated plots) were more responsive to temperature changes than those without. This report provides direct evidence of how temperature change impacts grain yields under different fertilization treatments, which is useful for crop management in a changing global climate.     

气候变暖可能对东北三省农业生态环境的影响及其对策

随着未来气候变暖,我国东北三省农业生态环境可能发生较大的变化,其变化趋势为,热量条件变好,作物生育期延长,冷害频率降低,积雪期缩短,湿润条件变差,干旱频率增大,蒸发量增加。未来气候变暖,若平均气温升高2℃,那时东北三省粮食产量可增加36%左右,农业地带将大幅度地向北推移,并且提出相应的农业对策。     

气候变化对我国华北地区冬小麦发育和产量的影响

验证作物模型在我国华北冬小麦主产区是否适应的基础上,采用作物模型与气候模式相结合的研究方法,定量化地模拟预测了未来100年气候变化对华北冬小麦生产的影响.结果表明,从2000～2004年,华北地区冬小麦产量的模拟值与实测值的变化趋势基本一致,且生育期和产量变化不大.未来100年内华北地区冬小麦的生长期可能会有所缩短,平均缩短8.4 d;产量也会有不同程度的下降,平均减产10.1％.适当采取应对措施可以有效降低冬小麦的减产趋势.