基于主成分分析和Copula函数的灌溉水利用系数影响因素研究

以新疆生产建设兵团第十二师中型灌区为研究对象，采用首尾法测算2018年和2019年4个样点灌区的灌溉水利用系数，在采用主成分分析法对指标体系降维处理的基础上，用Copula函数构建PCA-Copula评价分析方法，对灌溉水利用系数各影响因素的影响程度和影响规律进行计算分析。结果表明：两年测算数据表明，4个样点灌区灌溉水利用系数都在0.63以上，且最大值达到0.668，分别高于同期全疆、全国平均水平5.05%、10.15%；主成分分析得出，渠道衬砌率（0.944）、滴灌灌溉面积比（0.746）、作物需水量（0.635）、实际灌溉面积（0.734）等都具有超过60%的正贡献率，而葡萄种植比（-0.586）和灌区毛灌溉用水量（-0.645）等具有超过58%的负贡献率。利用PCA-Copula分析评估方法得出，作物种植比例和节水灌溉工程状况对十二师中型灌区灌溉水有效利用系数影响显著（P<0.05），其中葡萄净灌溉定额和灌区毛灌溉用水量对灌溉水有效利用系数的影响极其显著（P<0.01），相关系数分别为0.875、0.742，同时利用Spearman等级相关系数检验法和线型回归来检验PCA-Copula评价法与熵值法的密切程度，检验结果其相关系数分别为 0.87（P＜0.05）和0. 52（P＜0.001），表明PCA-Copula评价方法适用于研究灌溉水利用系数影响因素。     

长武塬区苹果园和农田相互转换的深层土壤水环境效应

研究长武塬区苹果园和农田相互转换后0~1 000 cm土壤含水量特征，分析了苹果园土壤干燥化和苹果园转换为农田后土壤水分的恢复效应。结果表明：2、7、17、23、29 a苹果园200~1 000 cm的平均土壤含水量分别为22.8%、21.4%、16.8%、15.4%、14.9%。500~1 000 cm土层中，29 a苹果园平均土壤含水量（14.5%）高于23 a的果园（13.3%）；17~29 a的苹果园均表现为轻度干燥化；基于苹果园和农田转换后土壤水分变化情况估算，苹果园最大种植年限为21 a。苹果园转换为农田1、5、10 a后，农田200~1 000 cm土层土壤含水量分别为：15.3%、15.7%和16.2%，恢复到土壤稳定湿度以上的土层厚度分别为140 cm（1 a）、220 cm（5 a）和400 cm（10 a）。     

黑果枸杞茎叶生长及其生态化学计量特征对灌水施肥的响应

在石羊河中游田间条件下,通过灌水和施肥调节黑果枸杞生长。测定不同时期黑果枸杞茎、叶生长量及其化学计量学特征变化,分析器官水平生长速率与化学计量学特征的关系,验证生态化学计量学理论"生长速率假说"。灌水施肥显著促进了茎长、基径和叶片长、宽及叶干重的生长(P<0.05),而茎长、基径、叶面积和叶干重的相对生长速率与对照之间无显著差异。各处理下黑果枸杞新梢C含量及C∶N、C∶P随生育期进程呈增加趋势,而N、P及N∶P呈降低趋势;灌水和施肥处理后茎C含量及C∶N、C∶P、N∶P低于对照,茎N、P含量高于对照。各处理叶片C、N、P含量在生育期内呈降低趋势,而C∶N、C∶P及N∶P呈增加趋势;灌水和施肥后叶片C含量及C∶N、C∶P、N∶P低于对照,叶片N、P含量高于对照。茎C含量及C∶N、C∶P显著高于叶片(P<0.05),而N、P含量及N∶P显著低于叶片(P<0.05)。生长速率假说认为,生物个体的生长速率与体内的N∶P、C∶P具有负相关关系,与N、P含量呈显著的正相关关系。各处理黑果枸杞茎、叶的生长速率与其N、P含量及C∶P、N∶P总体相关性不显著。表明施肥灌水调节下黑果枸杞茎叶生长及化学计量学特征不支持生长速率假说。     

Cultivation effects on soil texture and fertility in an arid desert region of northwestern China

In arid desert regions of northwestern China, reclamation and subsequent irrigated cultivation have become effective ways to prevent desertification, expand arable croplands, and develop sustainable agricultural production. Improvement in soil texture and fertility is crucial to high soil quality and stable crop yield. However, knowledge on the long-term effects of the conversion of desert lands into arable croplands is very limited. To address this problem, we conducted this study in an arid desert region of northwestern China to understand the changes in soil physical-chemical properties after 0, 2, 5, 10, 17, and 24 years of cultivation. Our results showed that silt and clay contents at the 17-year-old sites increased 17.5 and 152.3 folds, respectively, compared with that at the 0-year-old sites. The soil aggregate size fraction and its stability exhibited an exponential growth trend with increasing cultivation ages, but no significant change was found for the proportion of soil macroaggregates (>5.00 mm) during the 17 years of cultivation. The soil organic carbon (SOC) content at the 24-year-old sites was 6.86 g/kg and increased 8.8 folds compared with that at the 0-year-old sites. The total (or available) nitrogen, phosphorus, and potassium contents showed significant increasing trends and reached higher values after 17 (or 24) years of cultivation. Changes in soil physical-chemical properties successively experienced slow, rapid, and stable development stages, but some key properties (such as soil aggregate stability and SOC) were still too low to meet the sustainable agricultural production. The results of this long-term study indicated that reasonable agricultural management, such as expanding no-tillage land area, returning straw to the fields, applying organic fertilizer, reducing chemical fertilizer application, and carrying out soil testing for formula fertilization, is urgently needed in arid desert regions.     

Effects of sediment load on the abrasion of soil aggregate and hydraulic parameters in experimental overland flow

The breakdown of soil aggregates under rainfall and their abrasion in overland flow are important processes in water erosion due to the production of more fine and transportable particles and, the subsequent significant effect on the erosion intensity. Currently, little is known about the effects of sediment load on the soil aggregate abrasion and the relationship of this abrasion with some related hydraulic parameters. Here, the potential effects of sediment load on soil aggregate abrasion and hydraulic parameters in overland flow were investigated through a series of experiments in a 3.8-m-long hydraulic flume at the slope gradients of 8.7 and 26.8%, unit flow discharges from 2×10~(–3) to 6×10~(–3) m~2 s~(-1), and the sediment concentration from 0 to 110 kg m~(–3). All the aggregates from Ultisols developed Quaternary red clay, Central China. The results indicated that discharge had the most significant(P0.01) effect on the aggregates abrasion with the contributions of 58.76 and 60.34%, followed by sediment feed rate, with contributions of 39.66 and 34.12% at the slope gradients of 8.7 and 26.8%, respectively. The abrasion degree of aggregates was found to increase as a power function of the sediment concentration. Meanwhile, the flow depth, friction factor, and shear stress increased as a power function along with the increase of sediment concentration at different slope gradients and discharges. Reynolds number was obviously affected by sediment concentration and it decreased as sediment concentration increased. The ratio of the residual weight to the initial weight of soil aggregates(Wr/Wi) was found to increase as the linear function with an increasing flow depth(P=0.008) or Reynolds number(P=0.002) in the sediment-laden flow. The Wr/Wi values followed a power function decrease with increasing friction factor or shear stress in the sediment-laden flow, indicating that friction factor is the best hydraulic parameter for prediction of soil aggregate abrasion under different sediment load conditions. The information regarding the soil aggregate abrasion under various sediment load conditions can facilitate soil process-based erosion modeling.     

稻麦化学农药减量控害技术集成与示范

采用试验示范,通过农业防治、物理防治、生物防治、科学用药等多种途径控制稻、麦病虫害,集成稻、麦化学农药减量控害技术,实现病虫综合治理、保护生态环境。     

Allometric Estimates of Aboveground Biomass Using Cover and Height Are Improved by Increasing Specificity of Plant Functional Groups in Eastern Australian Rangelands

Plant aboveground biomass (AGB) is a useful metric to assess ecosystem functioning, and its sensitivity to changing environmental conditions provides insight into potential global change impacts. Allometric estimates of AGB using vegetation characteristics such as plant cover or height provide nondestructive biomass proxies for repeated measurements but can introduce uncertainty to estimates. We estimated the relationship between both plant cover and a cover·height index and AGB for 15 plant species from six sites to identify the most reliable approach to estimate biomass nondestructively in semiarid eastern Australian rangelands. Estimates were made by grouping species at four different levels of specificity, to test whether generic estimates were more robust than grouping species based on life history and morphological characteristics. Estimates were then tested on a 1.5-m² plot at each site for validation. In all cases, models were highly significant (P < 0.001) with adjusted R² values ranging from 0.42 to 0.96 for cover models and 0.38 to 0.98 for cover·height index models. We found the addition of height improved model fits in four groups while reducing model fits in two groups. The error around AGB estimates for cover·height index−based models ranged from −66.8 to 4% (absolute mean 35%). Cover-based models had errors between −13.4% and 53% (absolute mean 14.2%). For cover-based estimates of AGB in validation plots, grouping plants by plant functional types (PFTs) increased accuracy (absolute mean error 17.3%) compared with estimates using data from all 15 species (absolute mean of 65.2%). Overall cover was a useful surrogate to estimate AGB (with the exception of one site, accuracy ranged from −2.3% to 11.5%), while height (thought to be a surrogate for canopy characteristics) provided benefit in a few circumstances. We suggest that future research should test additional nondestructive proxies and group species based on PFTs to improve AGB estimates using allometry.