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1.
《Geoforum》2016
Pinole is a heritage foodstuff whose analysis provides the lens to understand the plight of Mexican farmers and the role translocal actors play in the articulation of global food heritage. To preserve and sell pinole, the pinole project was created from two groups of Mexicans born in Ozolco - a small rural village - and who now reside on either side of the Mexican and US border. By analysing members’ discourses, this article demonstrates how pinole is essentialised or commodified, and how it provides the platform for actors to formulate a variety of identities according to their socio-economic and geographical contexts. Bridging the literatures on food-studies and place-making, the multifunctionality of pinole transpires as inherently linked to the emergence of differing notions of place embedded in Ozolco. Exploring members’ varying priorities, from perpetuating rural lifestyles to preserving their hometown and its native blue corn, the project epitomises the struggle of farmers with Mexico’s migration drain and their efforts to economically engage with global markets of corn by circulating an added-value corn product within translocal networks as well as re-appropriate corn’s socio-cultural meaning. 相似文献
2.
根据1994-2004年黑山气象资料和玉米螟越冬期资料,采用通径分析方法,对玉米螟越冬期的气象条件与死亡率的关系进行分析,建立了4月和5月死亡率的预报模型。结果表明：玉米螟受3-5月的气象因子影响较大,死亡率明显高于越冬前的死亡率,建立的模型能够反映玉米螟越冬期气象条件与死亡率的响应关系,可在实际预报业务中作为参考依据。考虑越冬前死亡率的预报拟合率明显高于不考虑越冬前死亡率的模拟结果,说明在对玉米螟进行预报时,只考虑气象因子,不考虑虫源基数是不全面的。 相似文献
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Marcelo Chamecki René van Hout Charles Meneveau Marc B. Parlange 《Boundary-Layer Meteorology》2007,125(1):25-38
An expression for the vertical equilibrium concentration profile of heavy particles, including the effects of canopy on the
eddy diffusivity as well as corrections for atmospheric stability, is proposed. This expression is validated against measurements
of vertical concentration profiles of corn pollen above a corn field. The fitted theoretical profiles show that particle settling
is correctly accounted for. The sensitivity to variations in the turbulent Schmidt number, settling velocity and stability
corrections are explicitly characterized. The importance of independent measurements of the surface flux of pollen in future
experiments is noted. 相似文献
5.
Wusi Yue Marc B. Parlange Charles Meneveau Weihong Zhu René van Hout Joseph Katz 《Boundary-Layer Meteorology》2007,124(2):183-203
Turbulent flow in a corn canopy is simulated using large-eddy simulation (LES) with a Lagrangian dynamic Smagorinsky model.
A new numerical representation of plant canopies is presented that resolves approximately the local structure of plants and
takes into account their spatial arrangement. As a validation, computational results are compared with experimental data from
recent field particle image velocimetry (PIV) measurements and two previous experimental campaigns. Numerical simulation using
the traditional modelling method to represent the canopy (field-scale approach) is also conducted as a comparison to the plant-scale
approach. The combination of temporal PIV data, LES and spatial PIV data allows us to couple a wide range of relevant turbulence
scales. There is good agreement between experimental data and numerical predictions using the plant-scale approach in terms
of various turbulence statistics. Within the canopy, the plant-scale approach also allows the capture of more details than
the field-scale approach, including instantaneous gusts that penetrate deep inside the canopy. 相似文献
6.
Daniel R. Muhs 《自然地理学》2013,34(2):99-110
The threshold concept has been applied with considerable success to the understanding of geomorphic systems. Both intrinsic and extrinsic thresholds can be recognized in soil systems, but intrinsic thresholds have previously been largely ignored. Examples of intrinsic thresholds in soils include minimum levels of sesquioxides for immobilization of organic matter in spodic horizons, leaching of carbonates before clay movement can take place, and certain minimum clay mineral ratios before a pedogenic regime dominated by pedoturbation can occur. Recognition of intrinsic thresholds explains soil instability in the absence of environmental change. 相似文献
7.
在奈曼站农业观测场进行了5种水肥处理的玉米生长试验。结果表明,各处理的玉米株高快速生长期均从6月下旬始,至8月初达最高值。不施肥处理株高和茎粗生长在拔节后期落后于其他处理,早于其他处理停止生长。根量快速增长从6月底开始,至7月底结束,8月下旬根开始死亡,至9月20日,细根数量减少至峰值期的50%。高肥处理的根系增长率高于其他处理,其根密度值最大,不施追肥处理的最小。不浇水的处理在7月初雨季到来时根系开始快速增长。不施追肥的处理早于其他处理7d停止根系的增长。5种不同处理的根系生长动态趋势一致,均为单峰形。施肥量最大的处理(T1)产量最高,不施肥的处理产量最低。玉米生长期多次灌溉并不能促进生长,相反使产量减少。 相似文献
8.
The accurate and timely estimates of crop physiological growth stages are essential for efficient crop management and precise modeling of agricultural systems. Satellite remote sensing has been widely used to retrieve vegetation phenology metrics at local to global scales. However, most of these phenology metrics (e.g., green-up) are different from crop growth stages (e.g., emergence) used in crop management and modeling. As such, an integrated framework referred to as PhenoCrop was developed to: 1) establish a connection between remote sensing-derived phenology metrics and key crop growth stages based on Wang and Engle plant phenology model and 2) use fused MODIS-Landsat 30 m 8-day reflectance data generated using Kalman Filter-based data fusion technique to produce onset dates of key growth stages of corn (Zea mays L.) and soybeans (Glycine max L.) at 30 m spatial resolution. In this paper, we described the PhenoCrop framework, and tested its performance for the State of Nebraska for 2012–2016 by comparison to observations of estimated key growth stages at four experimental sites, and state-level statistical data from Crop Progress Reports (CPRs) published by the United States Department of Agriculture’s (USDA) National Agricultural Statistical Services (NASS). In addition, to evaluate the suitability of using coarse or high spatial resolution satellite imagery, fused MODIS-Landsat-based estimates were compared with those produced using EOS MODIS 250 m (MOD9Q1) reflectance data.The PhenoCrop estimates captured the typical spatial trends of gradual delay in the progression of the growing season from southeast to northwest Nebraska. Also inter-annual differences due to factors such as weather fluctuations and change in management strategies (e.g., early season in 2012) were evident in the estimates. Validation results revealed that average root mean square error (RMSE) of the state-level estimates of corn and soybean growth stages ranged from 1.10 to 4.20 days and from 3.81 to 7.89 days, respectively, while pixel level estimates had a RMSE ranging from 3.72 to 8.51 days for corn and 4.76–9.51 days for soybean growth stages. Although MODIS 250 m based estimates showed similar general spatial patterns observed in the fused MODIS-Landsat based estimates, the accuracy and ability to capture field scale variations was improved with fused MODIS-Landsat data. Overall, results showed the ability of PhenoCrop framework to provide reliable estimates of crop growth stages that can be highly useful in crop modeling and crop management during the growing season. 相似文献
9.
Leaf area index (LAI) and biomass are important indicators of crop development and the availability of this information during the growing season can support farmer decision making processes. This study demonstrates the applicability of RapidEye multi-spectral data for estimation of LAI and biomass of two crop types (corn and soybean) with different canopy structure, leaf structure and photosynthetic pathways. The advantages of Rapid Eye in terms of increased temporal resolution (∼daily), high spatial resolution (∼5 m) and enhanced spectral information (includes red-edge band) are explored as an individual sensor and as part of a multi-sensor constellation. Seven vegetation indices based on combinations of reflectance in green, red, red-edge and near infrared bands were derived from RapidEye imagery between 2011 and 2013. LAI and biomass data were collected during the same period for calibration and validation of the relationships between vegetation indices and LAI and dry above-ground biomass. Most indices showed sensitivity to LAI from emergence to 8 m2/m2. The normalized difference vegetation index (NDVI), the red-edge NDVI and the green NDVI were insensitive to crop type and had coefficients of variations (CV) ranging between 19 and 27%; and coefficients of determination ranging between 86 and 88%. The NDVI performed best for the estimation of dry leaf biomass (CV = 27% and r2 = 090) and was also insensitive to crop type. The red-edge indices did not show any significant improvement in LAI and biomass estimation over traditional multispectral indices. Cumulative vegetation indices showed strong performance for estimation of total dry above-ground biomass, especially for corn (CV ≤ 20%). This study demonstrated that continuous crop LAI monitoring over time and space at the field level can be achieved using a combination of RapidEye, Landsat and SPOT data and sensor-dependant best-fit functions. This approach eliminates/reduces the need for reflectance resampling, VIs inter-calibration and spatial resampling. 相似文献
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根据1984—1986年烟单14号玉米田间试验的大量数据,作者在引进弹性系数概念后,建立了烟单14号夏玉米产量的非线性模型: Q=Ay~α_1y~β_2y~γ_3e~ε通过对模型中弹性系数的统计分析,提出大面积烟单14号玉米不同产量水平增产的途径,低产水平区(<250公斤/亩),着重提高亩穗数:中产水平区(250—400公斤/亩),在一定亩穗数的基础上,着重提高穗粒数;高产水平区(>400公斤/亩),提高粒重对产量的增产效益较大。 相似文献