Considering sink strength to model crop production under elevated atmospheric CO2

Climatic changes and elevated atmospheric CO₂ concentrations will affect crop growth and production in the near future. Rising CO₂ concentration is a novel environmental aspect that should be considered when projections for future agricultural productivity are made. In addition to a reducing effect on stomatal conductance and crop transpiration, elevated CO₂ concentration can stimulate crop production. The magnitude of this stimulatory effect (‘CO₂ fertilization’) is subject of discussion. In this study, different calculation procedures of the generic crop model AquaCrop based on a foregoing theoretical framework and a meta-analysis of field responses, respectively, were evaluated against experimental data of free air CO₂ enrichment (FACE) environments. A flexible response of the water productivity parameter of the model to CO₂ concentration was introduced as the best option to consider crop sink strength and responsiveness to CO₂. By varying the response factor, differences in crop sink capacity and trends in breeding and management, which alter crop responsiveness, can be addressed. Projections of maize (Zea mays L.) and potato (Solanum tuberosum L.) production reflecting the differences in responsiveness were simulated for future time horizons when elevated CO₂ concentrations and climatic changes are expected. Variation in future yield potential associated with sink strength could be as high as 27% of the total production. Thus, taking into account crop sink strength and variation in responsiveness is equally relevant to considering climatic changes and elevated CO₂ concentration when assessing future crop production. Indicative values representing the crop responsiveness to elevated CO₂ concentration were proposed for all crops currently available in the database of AquaCrop as a first step in reducing part of the uncertainty involved in modeling future agricultural production.     

农田土壤碳氮及其与气象因子的关系

为揭示土壤碳氮受外界环境因子的影响,基于辽宁省51个农业气象站的代表性,分析了土壤有机碳和全氮的剖面分布及其与气象因子、地理因子的关系。结果表明,土壤表层（0~20 cm）有机碳和全氮含量总体高于土壤下层（20~40 cm）;不同土层土壤有机碳和全氮受年降水量、年平均气温的影响程度不同。土壤表层有机碳和全氮受年降水量、年平均气温的显著或极显著影响（P〈0.05,P〈0.01）;土壤下层有机碳和全氮均与年平均气温呈显著负相关（P〈0.01）,而与年降水量不成显著相关。经度与土壤表层有机碳和土壤下层全氮呈显著正相关（P〈0.05）,而纬度和海拔不影响土壤有机碳和全氮。不同土层有机碳、全氮与气象因子的回归方程为农田生态系统的碳收支评估及养分循环提供基础资料。     

双环直径对土壤入渗速率的影响

双环法是测定土壤入渗速率最为广泛最为经典的方法,但双环直径可能影响土壤入渗速率测定结果,因其为地表积水有压入渗,在坡地上测定时,因整平地表时会产生很大扰动,从而产生测定误差。研究设计5组不同直径的双环入渗试验,分析双环直径对土壤初始入渗速率、稳定入渗速率、累计入渗量的影响。结果表明:当双环内环直径分别为15,20,25,30cm时,初始入渗速率分别是常规内环直径为35cm双环的88.3%,110.8%,119.9%,100.7%,稳定入渗率分别是54%,73%,85%,89%。对不同时刻入渗速率进行T值检验发现,用内环直径为20,25,30cm双环测定的入渗过程与常用内径为35cm的双环测定土壤入渗过程无显著差异。考虑地表扰动因素、试验需水量等多因素的影响,可用内环直径20cm、外环直径为35cm的双环替代目前常规内环直径为35cm,外环直径为50cm的双环,用于坡地土壤入渗速率测定,可以减少地表扰动,从而准确测定土壤入渗率,又能节约用水量。     

The effect of some watershed,soil characteristics and morphometric factors on the relationship between the gully volume and length in Fars Province,Iran

A survey consisting of 146 first order gullies selected from five sites with different land use, soil and watershed properties was carried out to estimate the parameters of the empirical power function in order to describe the relationship between the gully volume and length in Fars province, Iran. Subsequently, the gullies were clustered into seven groups (“A” to “G”) based on nine morphometric factors. The linearized functions were fitted to the natural logarithms of the volume and length in each group and the parameters “a” and “b” were determined. The obtained “a” and “b” parameters are in the ranges of 1.0–10.8 and 0.8–1.4, respectively. Comparison of “a” and “b” parameters in each group with the mean of nine factors and the mean soil, watershed and land use characteristics in each group showed that the gully volume and average cross section are correlated with the gully depths in different sections and the gully head slopes. Also it was shown that the parameters of fitted functions to the plots of gully volumes versus gully lengths are proportional to width at the gully heads. The gully widths at the top and bottom of the five meter sections are correlated with the average upstream watershed area of the gullies.     

过去(1958-2007)和未来(2011-2060)50年淮河流域气候变化趋势分析

根据淮河流域1958-2007年观测资料和ECHAM5/MPI-OM模式对该流域2011-2060年气候变化的预估结果,分析淮河流域1958-2007年平均气温、极端高(低)温、农业界限温度和年降水量变化,并对2011-2060年气温和降水量变化趋势进行预估。结果表明:(1)淮河流域年平均气温,20世纪90年代以前以降温为主,90年代中后期增温显著;季节变化上,春秋两季气温呈波动增加趋势,冬季增温速率较高,夏季则呈下降趋势,极端气温事件出现次数和温度变化幅度均减小。淮河流域热量资源的时间变化以增温趋势为主,各界限温度初日提前,终日推迟,持续日数和累积温度增加。从区域分布上,流域东部增温趋势强于西部。1958-2007年年降水量和极端降水等无突变性的增加或减少趋势;季节变化上,流域夏季降水量变幅较大。(2)3种排放情景下淮河流域年平均气温升高趋势一致,且SRES-A1B情景升温幅度大于其它两种情景且约在2040年突变增温,3种情景下季节平均气温均为冬季升高最快;未来年降水量有微弱增加,但M-K检测均无显著变化趋势,未来50a淮河流域季节降水仍以春、夏季降水为主,约占全年降水量的70%。     

体积置换法直接测量土壤质量含水率及土壤容重

土壤含水率直接测量是相关研究和应用的基础,在土壤力学、作物栽培、农田灌溉、生态环境等研究和实践中十分重要。该文提出了一种与传统烘干称质量法相当的体积置换法直接测量土壤质量含水率及土壤容重。该方法在假设一定土壤颗粒密度的前提下,用一定体积的标准取样环刀取得土样后,通过向待测量土体补充水分使土壤达到饱和,用一定体积的水置换土壤中的充气空隙,直到土样达到饱和状态;再通过测量得到的初始/原始土样质量、饱和后土壤的质量以及已知土壤颗粒密度和水密度,计算得到被置换的充气空隙的体积,进而由此计算得到土壤质量含水率和土壤容重。采用3种不同土壤,即陕西杨凌黏黄土、北京粉壤土和江西黏红土,分别预配制成7种不同初始土壤体积含水率,含水率约为:风干土(含水率2%～3%)、5%、10%、15%、25%、30%和饱和含水率,以及3种不同土壤容重:1.25、1.35和1.45g/cm3进行室内试验。用类似的土样,采用传统方法烘干土样8、12、24、48h后,测量确定土壤的质量含水率,通过延长烘干时间测得数据表明,传统方法烘干8h所测得的质量含水率仍有1%～3.2%的含水率误差。最终试验结果表明体积置换方法测得的土壤含水率比传统烘干土样8h所测得的结果大2%～3%,比烘干土样48h所测得的结果大1%左右。体积置换方法测量操作过程简单,耗时较少,节约能源,测量结果具有较高精度。     

不同作物对坡耕地地表径流及氮素流失的影响

为了揭示坡耕地种植作物后径流和氮素流失间的差异,采用径流小区法对坡耕地种植玉米、莜麦和土豆3种作物后坡面径流、地面作物状况、氮素流失量及其关系进行了研究。结果表明:2014年7—9月6场侵蚀性降雨平均降雨量为31.49mm,径流量(Q)为Q_(莜麦-总)Q_(土豆-总)Q_(玉米-总),且与降雨量成线性关系;作物种类对径流中氮素浓度有显著影响,各形态氮浓度均值范围分别为:NO_3~-—N含量10.33~11.83mg/L,TN含量27.48~31.28mg/L,NH_4~+—N含量0.72~0.92mg/L,NO_2~-—N含量0.35~0.49mg/L;6次侵蚀性降雨全氮流失量(TNL)为TNL_(莜麦)TNL_(土豆)TNL_(玉米),均值分别为147.01,139.45,125.63mg;硝态氮流失量(NL_硝)占TNL的33.33%~43.14%,NL_硝和TNL与径流量之间存在线性关系;7—9月份,农作物进入生殖生长阶段,作物覆盖度变化较小,与降雨量和氮素流失量之间没有显著关系,不是影响坡面径流和养分流失的主要影响因素。     

气候变暖对新疆核桃种植气候适宜性的影响

基于新疆102个气象台站1961-2015年逐日平均气温、最低气温、最高气温资料,采用线性趋势分析、累积距平、t检验以及ArcGIS的空间插值技术,对影响新疆核桃种植的关键气候因子（≥10℃积温、最低气温≤-25℃日数、最高气温≥40℃日数、终霜冻日早于≥10℃初日天数）的时空变化特征进行分析的基础上,结合核桃种植气候适宜性区划指标,研究了气候变化对新疆核桃种植气候适宜性及其分布的影响。结果表明：新疆≥10℃积温的空间分布总体呈现“南疆多,北疆少;平原和盆地多,山区少”的格局,最低气温≤-25℃日数有“南疆少,北疆多;平原和盆地少,山区多”的特点,夏季最高气温≥40℃日数为“东部多,西部少;平原和盆地多,山区少”的特点;终霜冻日早于≥10℃初日的天数呈现“西部多,东部少;山区多,平原和盆地少”的格局。在上述气候要素空间分异的综合作用下,新疆核桃种植的气候适宜区主要在塔里木盆地西部平原;次适宜区在塔里木盆地大部和吐哈盆地南部;北疆大部,阿尔泰山、天山和昆仑山区以及吐哈盆地、塔里木盆地东部为核桃不适宜种植区。在气候变暖背景下,近55a新疆≥10℃积温、最高气温≥40℃日数和终霜冻日早于≥10℃初日的天数分别以64.7℃·d·10a-1、0.48d·10a-1、0.120d·10a-1的倾向率呈显著（P＜0.05）增多趋势,冬季日最低气温≤-25℃日数以-0.980d·10a-1的倾向率呈极显著（P＜0.001）减少趋势。上述各要素分别于1986年和1997年发生了突变,受其影响,1997年后较其之前,新疆核桃种植的气候适宜区和次适宜区明显扩大,而不适宜区明显减小,气候变暖对新疆核桃种植总体趋于有利。     

Characterizing Spatial Variability of Soil Textural Fractions and Fractal Parameters Derived from Particle Size Distributions

Soil particle size distribution (PSD) is a fundamental physical property affecting other soil properties. Characterizing spatial variability of soil texture is very important in environmental research. The objectives of this work were: 1) to partition PSD of 75 soil samples, collected from a flat field in the University of Guilan, Iran, into two scaling domains using a piecewise fractal model to evaluate the relationships between fractal dimensions of scaling domains and soil clay, silt, and sand fractions and 2) to assess the potential of fractal parameters as an index used in a geostatistical approach reflecting the spatial variability of soil texture. Features of PSD of soil samples were studied using fractal geometry, and geostatistical techniques were used to characterize the spatial variability of fractal and soil textural parameters. There were two scaling domains for the PSD of soil samples. The fractal dimensions of these two scaling domains (D₁ and D₂) were then used to characterize different ranges of soil particle sizes and their relationships to the soil textural parameters. There was a positive correlation between D₁ and clay content (R² = 0.924), a negative correlation between D₁ and silt content (R² = 0.801), and a negative correlation between D₂ and sand content (R² = 0.913). The geometric mean diameter of soil particles had a negative correlation with D₁ (R² = 0.569) and D₂ (R² = 0.682). Semivariograms of fractal dimensions and soil textural parameters were calculated and the maps of spatial variation of D₁ and D₂ and soil PSD parameters were provided using ordinary kriging. The results showed that there were also spatial correlations between D₁ and D₂ and particle size fractions. According to the semivariogram models and validation parameters, the fractal parameters had powerful spatial structure and could better describe the spatial variability of soil texture.     

山地丘陵区不同土地利用方式对空心村整治还田土壤团聚体特征的影响

以探明不同土地利用方式对土壤团聚体的影响为目的,为提高山地丘陵区空心村整治还田土壤稳定性及生产性能提供科学依据。在陕西澄县山地丘陵区空心村整治还田后,设置5种不同的土地利用方式,开展为期1年的种植试验,分别为玉米(C处理)、小麦(W处理)、蔬菜(V处理)、药材(M处理)及对照(未种:CK处理)。测定分析干筛法和湿筛法0—40cm土层土壤团聚体分布、平均质量直径(WMD)、几何平均直径(GMD)、团聚体破坏率(PAD)、不稳定团粒数(ELT)和分形维数(D)。结果表明:(1)各处理在0—40cm各土层土壤团聚体数量及大小均显著优于CK处理,各处理干筛下0—40cm土层0.25mm团聚体含量(DR0.25)和湿筛下该含量(WR0.25)随着土壤土层深度的增加呈现相反的趋势;(2)干筛法和湿筛法0—40cm土层各处理土壤平均重量直径(MWD)平均值和几何平均直径(GMD)平均值大小顺序均呈现W处理C处理M处理V处理CK处理,C处理有助于增加表层土壤大团聚体含量,W处理则有助于增加下层土壤大团聚体含量;(3)湿筛法分析表明,各处理土壤团聚体破坏率(PAD)和不稳定团粒指数(ELT)在0—40cm土层内均表现出近似"Z"字形趋势,各处理显著低于CK;(4)各处理的分形维数(D)在0—40cm土层平均值大小顺序为C处理W处理M处理V处理CK处理。土壤分形维数(D)与干筛法和湿筛法下0—40cm土层0.25mm团聚体含量之间存在良好的线性关系,分别为R2=0.74和R2=0.67。空心村整治还田后种植玉米和小麦有利于提高0—40cm土层大团聚体含量,增加土层稳定性,改善土壤结构。