DETERMINATION OF AERODYNAMIC PARAMETERS OF CROP CANOPIES WITH A CENTER-OF-PRESSURE METHOD

Using data on leaf area density and wind profiles above and within canopies of wheat,rice,soybean and corn,thecenter-of-pressure method (CPM),originally proposed by Thom (1971),is first validated in the field.Aphysically-based model for directly calculating zero-displacement height (d) is derived.The comparison between thefriction velocity (u_*) estimated with CPM and that with eddy correlation technique shows that CPM not only works wellin the field,but also produces more steady and accurate estimates of aerodynamic parameters (which are hardly affectedby atmospheric thermal stability),than those with the widely-used log-profile fitting method in diabatic atmosphere.The results presented in this paper also demonstrate that the ratios of d,z_0 to crop height h usually vary with canopy ar-chitecture,atmospheric stratification and turbulent exchange intensity,and are not just constants as commonly assumedor used.d/h raises with an increase of relative height of the maximum foliage layer and wind extinction coefficientwithin the canopy.Only for crops with short stem and moderate foliage density,can the relations d= 0.64h,z_0=0.08hkeep stable.In addition,for long stem crops or sparse canopies,the fairly large shear stress at the soil surface and the va-riation of the exponent in the relationship between drag coefficient and wind speed undoubtedly influence the accuracyof CPM to a certain extent.     

The relationship between extreme weather events and crop losses in central Taiwan

The frequency of extreme weather events, which cause severe crop losses, is increasing. This study investigates the relationship between crop losses and extreme weather events in central Taiwan from 2003 to 2015 and determines the main factors influencing crop losses. Data regarding the crop loss area and meteorological information were obtained from government agencies. The crops were categorised into the following five groups: ‘grains’, ‘vegetables’, ‘fruits’, ‘flowers’ and ‘other crops’. The extreme weather events and their synoptic weather patterns were categorised into six and five groups, respectively. The data were analysed using the z score, correlation coefficient and stepwise regression model. The results show that typhoons had the highest frequency of all extreme weather events (58.3%). The largest crop loss area (4.09%) was caused by two typhoons and foehn wind in succession. Extreme wind speed coupled with heavy rainfall is an important factor affecting the losses in the grain and vegetable groups. Extreme wind speed is a common variable that affects the loss of ‘grains’, ‘vegetables’, ‘fruits’ and ‘flowers’. Consecutive extreme weather events caused greater crop losses than individual events. Crops with long production times suffered greater losses than those with short production times. This suggests that crops with physical structures that can be easily damaged and long production times would benefit from protected cultivation to maintain food security.     

Operational model for direct determination of evapotranspiration for well watered crops in Mediterranean region

Direct calculation of actual evapotranspiration ET_c based on Penman-Monteith type models gives more accurate values than indirect models, which need the determination of reference evapotranspiration and crop coefficient. However, the direct models need the measurement of weather variables above the crop, which is limiting and not easily feasible in practice. An operational version of a known ET_c direct model is described and tested. This new version is based on the determination of the weather variables collected in a standard agro-meteorological station. The original and the operational versions of the ET_c model were validated on two crops with contrasting height: soybean (0.8 m) and sweet sorghum (3 m). For soybean, ET_c calculated with the two versions gave results very similar at both hourly and daily scales. For sweet sorghum, ET_c calculated with the operational version is good at daily scale and not as good, although acceptable, at the hourly scale.     

全球农作物对大气CO2及其倍增的吸收量估算

根据农作物产量资料（ＦＡＯ１９９２年），计算出中国和全球各种作物对ＣＯ２的吸收总量分别为５．５×１０８ｔ／ａＣ和２８．９×１０８ｔ／ａＣ。同时以不同ＣＯ２浓度下小麦、玉米、大豆等全生育期光合速率实验数据直接计算的Ｃ吸收量为对照，与相应的中国产量资料计算结果比较，两者相差２．６％。从而进一步依据作物对ＣＯ２倍增反应诊断实验结果，推算出大气ＣＯ２浓度比目前倍增（７００ｐｐｍ）条件下，中国和全球农作物吸收ＣＯ２总量将增长２１％－２６％，分别为６．６×１０８ｔ／ａ—６．９×１０８ｔ／ａ和３４．１×１０８ｔ／ａ—３６．２×１０８ｔ／ａＣ。研究还表明，单位面积作物年吸Ｃ量全球（３．２ｔ／（ｈｍ２·８））比中国（４．２ｔ／（ｈｍ２·ａ））低２５．４％，而且Ｃ４作物普遍高于同类Ｃ３作物。     

How is CO2 affecting yields and technological progress? A statistical analysis

This paper analyzes the impact of climate, crop production technology, and atmospheric carbon dioxide (CO₂) on current and future crop yields. The analysis of crop yields endeavors to advance the literature by estimating the effect of atmospheric CO₂ on observed crop yields. This is done using an econometric model estimated over pooled historical data for 1950–2009 and data from the free air CO₂ enrichment experiments. The main econometric findings are: 1) Yields of C3 crops (soybeans, cotton, and wheat) directly respond to the elevated CO₂, while yields of C4 crops (corn and sorghum) do not, but they are found to indirectly benefit from elevated CO₂ in times and places of drought stress; 2) The effect of technological progress on mean yields is non-linear; 3) Ignoring atmospheric CO₂ in an econometric model of crop yield likely leads to overestimates of the pure effects of technological progress on crop yields of about 51, 15, 17, 9, and 1 % of observed yield gain for cotton, soybeans, wheat, corn and sorghum, respectively; 4) Average climate conditions and climate variability contribute in a statistically significant way to average crop yields and their variability; and 5) The effect of CO₂ fertilization generally outweighs the effect of climate change on mean crop yields in many regions resulting in an increase of 7–22, 4–47, 5–26, 65–96, and 3–35 % for yields of corn, sorghum, soybeans, cotton, and wheat, respectively.     

基于气候适宜度的玉米产量动态预报方法

夏玉米是河北省主要粮食作物之一, 其生长发育及产量形成受气象条件影响很大, 开展玉米产量动态预报对河北省农业生产和粮食安全具有重要意义。该文结合夏玉米生理特性, 建立了夏玉米气候适宜度模型, 利用此模型借助于SPSS统计软件, 计算了1972—2005年河北省8个市夏玉米生育期内逐旬气候适宜度, 以此为基础, 建立了河北省8个市夏玉米不同时段产量预报模型。结果表明:夏玉米气候适宜度与产量相关显著; 1972—2005年历史预报检验和2006—2007年预报试验平均准确率分别为88.8%和96.8%, 能够满足业务服务需要。     

Limitations of an eddy-correlation technique for the determination of the carbon dioxide and sensible heat fluxes

A modified infrared CO₂ gas analyzer, a small thermocouple assembly, a heated-thermocouple anemometer for horizontal wind, and a propeller-type vertical wind sensor were used to measure the eddy fluxes of heat and CO₂ above a corn crop. Experimental results of these fluxes are discussed. The main sources of errors of the eddy fluxes using these instruments were estimated:

1. Sensors with a time constant of 0.5 s appear to be fast enough to detect most of the vertical CO₂ transfer as long as the sensors are located at least one meter above the crop surface.
2. The deviation from steady-state conditions for 10-min periods was found to have a significant effect on the eddy flux estimates.
3. Temperature fluctuations of the air sample passing through the CO₂ infrared gas analyzer were found to be non-negligible but could be easily corrected.
4. A 1° misalignment of the vertical anemometer affected these eddy fluxes by less than 10% under all circumstances studied.

     

Crop yield response to economic, site and climatic variables

This paper examines the effects of climatic and non-climatic factors on the mean and variance of corn, soybean and winter wheat yield in southwestern Ontario, Canada over a period of 26 years. Average crop yields increase at a decreasing rate with the quantity of inputs used, and decrease with the area planted to the crop. Climate variables have a major impact on mean yield with the length of the growing season being the primary determinant across all three crops. Increases in the variability of temperature and precipitation decrease mean yield and increase its variance. Yield variance is poorly explained by both seasonal and monthly climate variable models. Projections of future climate change suggest that average crop yield will increase with warmer temperatures and a longer growing season which is only partially offset by forecast increases in the variability of temperature and rainfall. The projections would also depend on future technological developments, which have generated significant increases in yield over time despite changing annual weather conditions.     

Impacts of a Ghg-Induced Climate Change on Crop Yields: Effects of Acceleration in Maturation, Moisture Stress and Optimal Temperature

The present study involves using the Canadian Climate Centre (CCC) climate change scenario to evaluate the impacts of a CO₂-induced climate change on agriculture in Québec and vicinity. Climate change using the CCC General Circulation Model (GCM) data are fed into a crop model (FAO) so as to gauge the changes in agroclimatic factors such as growing season length and growing degree days, and subsequently potential yield changes for a variety of cereal (C₃ and C₄), leguminous, oleaginous, vegetable and special crops, for twelve major agricultural regions in southern Québec. Our results show that depending upon the agricultural zone and crop type, yields may increase (ex. corn and sorghum by 20%) or decrease (ex. wheat and soybean by 20 to 30%). Also, these crop yield changes appear to be related to acceleration in maturation rates, mainly to change in moisture stress and to shifts in optimal thermal growth conditions. These possible shifts in agricultural production potentials would solicit the formulation of appropriate adaptation strategies.     

北京地区玉米风灾损失定量评估模型研究

风灾是北京地区玉米减产的一个重要因素,是影响玉米产量最常见的一种气象灾害,严重的风灾可造成玉米绝收。为实现对玉米风灾造成损失的定量评估,利用收集到的历史上出现的玉米风灾及产量损失数据,结合自动气象站观测资料,分析了风灾发生过程中对玉米产量损失影响显著的气象因子,最终确定选取玉米受灾过程中的最大风速的最大值、持续时间内的最大风速的平均值、最大风速持续时间和过程降水量4个气象因子,并考虑到玉米不同生育期抗风能力的不同,增加了玉米生育期影响因子,利用这5个要素,运用统计学方法建立了北京地区玉米风灾损失定量评估统计模型。通过对样本数据的拟合及剩余样本的检验,建立的定量损失评估模型具有一定的准确性和实用性,可为政策性农业保险的定损,以及生产部门确定风灾损失及保险公司理赔提供科学依据。     

1971—2010年气候变化对河南省主要作物需水量的影响

以小麦、玉米、棉花、花生等主要农作物为研究对象,选取河南省12个气象站点1971—2010年的气象资料,采用联合国粮农组织（FAO）推荐的Penman-Monteith公式计算参考作物生育期内需水量,分析其生育期需水量变化规律.结果表明：河南省多个地区需水量的年内分布,都在6月达到全年的最高值,在11或12月降至全年的最低值;需水量最大的是棉花,其次是小麦、花生和玉米;近40年,棉花、小麦、花生和玉米的需水量都表现为减少趋势.通过分析各气象因子与需水量的相关性发现：平均风速与作物需水量显著正相关,由于平均风速大幅下降,从而在很大程度上抵消了因其他气象因子变化引起的需水量增加趋势,造成主要作物生育期需水量的减少.     

Spatial correlation of marine wind‐speed observations

Abstract

The spatial characteristics of the wind speeds from ships, drilling platforms, and satellites (SASS and SMMR) were investigated through autocorrelation analysis. Values of the spatial correlation coefficient in minimum separation classes revealed that SASS winds contained the least noise, followed by drilling‐platform and SMMR winds, measured ship winds and estimated ship winds. The variances explained by wind‐speed observations within a 100‐km radius of each other were found to be 86, 72, 62, 48 and 41%, respectively. Ship wind‐speed estimates made during hours of darkness showed significantly higher noise than daytime reports.     

Energy balance and turbulent flux partitioning in a corn–soybean rotation in the Midwestern US

Quantifying the energy balance above plant canopies is critical for better understanding of water balance and changes in regional weather patterns. This study examined temporal variations of energy balance terms for contrasting canopies [corn (Zea mays L.) and soybean (Glycine max L. Merr.)]. We monitored energy balance for 4 years using eddy-covariance systems, net radiometers, and soil heat flux plates in adjacent production fields near Ames, Iowa. On an annual basis, soybean exhibited 20% and 30% lower sensible heat flux (H) and Bowen ratio than corn, respectively. As canopies developed, a gradual shift in turbulent fluxes occurred with decreasing H and increasing latent heat flux (LE), but with a more pronounced effect for corn. Conversely, during mid-growing season and as both canopies progressively senesced, H in general increased and LE decreased; however, soybean exhibited slightly greater LE and much lower H than corn. These temporal variations in magnitude and partitioning of turbulent fluxes translated into a pronounced energy imbalance for soybean (0.80) and an enhanced closure for corn (0.98) in August and September. These discrepancies could be directly associated with differences in momentum transport as shown by friction velocities of 0.34 and 0.28 m s^?1 for corn and soybean, respectively. These results support influential roles of plant canopy on intensity and mode of surface energy exchange processes.     

CAWS型自动站与人工观测风速记录的对比分析

利用平凉气象观测站2003年1~12月人工站和自动站平行观测的风速、风向资料,统计比较了2003年1~12月人工站与自动站风速观测值和极值,结果表明:受观测仪器系统偏差和观测取值时间差异的影响,人工站比自动站的日平均风速偏小0.4 m/s。风向完全相符的接近40%,2个以上方位的不相符率4%。     

Microclimate effects of crop residues on biological processes

Summary Residues from crops left on the soil surface have an impact on the microclimate, primarily temperature, within the soil and the atmosphere; but, the impact on the biological system is largely unknown. Residue is assumed to have a positive impact on the biological system in the soil and a negative impact on crop growth. This report investigates the effect of standing residue on the microclimate surrounding a cotton (Gossypium hirsutum L.) crop in a semi-arid environment and the effect of flat residue on the seasonal soil temperature and soil water regimes in a humid climate with a corn (Zea mays L.) and soybean [Glycine max (L.) Merr.] production system. A study was conducted during 1987 and 1988 in a semi-arid climate at Lubbock, Texas using standing wheat stubble to shelter cotton from wind. In this study soil water, microclimatic variables, and plant growth were measured within standing stubble and bare soil during the early vegetative growth period. Air temperatures were warmer at night within the standing residue and the air more humid throughout the day. This led to a reduction in the soil water evaporation rate and an increase in the water use efficiency of the cotton plant within the stubble. Studies on corn residue with continuous corn and corn-soybean rotations with no-till, chiselplow, and moldboard plow tillage practices in central Iowa showed that the average soil temperatures in the upper soil profile were not affected by the presence of flat residue after tillage. Diurnal temperature ranges were most affected by the residue throughout the year. The largest effect of the residue on soil temperature was in the fall after harvest when no-till fields cooled more slowly than tilled fields. In the spring, surface residue decreased the soil water evaporation rate and increased the soil water storage within the soil profile covered with residue. In years with below normal rainfall, the additional stored soil water due to the surface residue was used by the plant to maintain transpiration rates at optimal levels during the early vegetative growth period. The biological implications of crop residue on the soil surface can be more positive than negative and increasing our understanding of the physical environment and biological system interactions will lead to improved resource management.Contribution from the United States Department of Agriculture, Agriculture Research Service.With 6 Figures     

Influence d'un changement climatique dû à une hausse de gaz à effet de serre sur l'agriculture au quebec

Abstract

This study, using a climate change scenario generated by the Canadian Climate Centre (CCC) general circulation model (GCM) examines the impacts of such a climate change on agriculture in southern Quebec. Using a crop model from the Food and Agriculture Organization (FAO), yield responses of a variety of cereals, legumes, oleaginous and special crops to climate change are analysed and discussed.

Results show that under the 2 × CO₂ climate scenario the growing season would be longer and accumulation of corn heat units and growing degree days would be more important than under actual climate (1961–1990). One of the more important results of this study is that, on the one hand yield of C₃ cereals would be lower and that of C₄ cereals higher in most agricultural regions. On the other hand, the direct fertilisation effect of increased CO₂ is not considered. It must be cautioned however that we can not generalise results obtained for one legume crop to all legumes.     

Comparison of Agricultural Impacts of Climate Change Calculated from High and Low Resolution Climate Change Scenarios: Part I. The Uncertainty Due to Spatial Scale

We investigated the effect of two different spatial scales of climate change scenarios on crop yields simulated by the EPIC crop model for corn, soybean, and wheat, in the central Great Plains of the United States. The effect of climate change alone was investigated in Part I. In Part II (Easterling et al., 2001) we considered the effects ofCO₂ fertilization effects and adaptation in addition to climate change. The scenarios were formed from five years of control and 2 ×CO₂ runs of a high resolution regional climate model (RegCM) and the same from an Australian coarse resolution general circulation model (GCM), which provided the initial and lateral boundary conditions for the regional model runs. We also investigated the effect of two different spatial resolutions of soil input parameters to the crop models. We found that for corn and soybean in the eastern part of the study area, significantly different mean yield changes were calculated depending on the scenario used. Changes in simulated dryland wheat yields in the western areas were very similar, regardless of the scale of the scenario. The spatial scale of soils had a strong effect on the spatial variance and pattern of yields across the study area, but less effect on the mean aggregated yields. We investigated what aspects of the differences in the scenarios were most important for explaining the different simulated yield responses. For instance, precipitation changes in June were most important for corn and soybean in the eastern CSIRO grid boxes. We establish the spatial scale of climate changescenarios as an important uncertainty for climate change impacts analysis.     

Prairie agroclimate boundary‐layer model: A simulation of the atmosphere/crop‐soil interface

Abstract

This paper describes a 1‐D agroclimatic model of the atmosphere/crop‐soil interface. Vertical profiles of wind, potential temperature and water vapour are constructed twice daily for the overnight‐low and maximum temperature times by combining 1200 and 0000 UTC upper‐air standard‐level grid‐point data with climatological observations. The vertical structure of the atmospheric boundary layer has a surface constant‐flux layer that is usually topped by a mixed layer by day but not at night. The crop‐soil boundary layer consists of a shallow top‐zone and a growing root‐zone. Vegetation cover and root depth depend upon crop type and phenological stage. Water‐balance accounting tracks the moisture contents of both the top‐ and root‐zones. Evapotranspiration or the vertical flux of water vapour in the atmospheric boundary layer is tied to the evolution of the crop‐soil boundary layer.

The model was calibrated using field data from the Regional Evaporation Study's primary site in an agricultural area of central Saskatchewan. The evolution of 1991's wheat‐soil boundary layer from the crop's heading to ripe stages was then successfully simulated at two additional sites in the same geographical area.     

阜新地区干旱发生规律研究

利用1953—2008年阜新县、彰武县两个气象站的降水量资料,分析阜新地区干旱发生时间、频率,对这一地区干旱发生规律进行探讨。结果表明：阜新地区平均年降水量为505mm,就这一降水量而言,基本能够满足大田作物生产对水分的需求,但降水年际变差大、年内分配不均是引发旱灾发生的主要原因;夏季降水集中,占全年降水的67%,多数年份能够保证大田作物生产;秋季常有秋吊发生,而漫长的冬季至春播之前降水较少,春旱最为频发。提出解决春旱的有效途径是高效保蓄夏、秋两季的降水,通过多种措施提高农田水分入渗、蓄水能力,抑制和减少地面蒸发。另外,这一地区年降水量呈现周期性变化,并表现出逐年减少的趋势,这可能使当地的干旱灾害更频发。     

Estimating sensible heat flux from radiometric temperature over crop canopy

The model devised by Lhommeet al. (1988) allows one to calculate the sensible heat flux over a homogeneous crop canopy from radiometric surface temperature by adding a so-called canopy aerodynamic resistance to the classical aerodynamic resistance calculated above the canopy. This model is reformulated in order to simplify the mathematical procedure needed to calculate this additional resistance. Analytical expressions of micrometeorological profiles within the canopy are introduced. Assuming a constant leaf area density, an analytical expression of canopy aerodynamic resistance is inferred, which is a function of wind velocity, inclination angle of the radiometer and crop characteristics such as crop height, leaf area index, inclination index of the foliage and leaf width. Sensitivity of this resistance to the different parameters is investigated. The most significant are wind velocity and LAI. Finally, the predictions of the model are tested against two sets of measurements obtained for two different crops, potato and maize.