运城酥梨产区梨小食心虫发生动态监测及性诱剂诱捕防控效果调查

为明确梨小食心虫在山西省运城市的发生规律和性诱剂诱捕的田间防治效果,利用性诱剂三角形诱捕器对梨小食心虫成虫的发生动态进行了系统监测,并对两种性诱剂诱捕器在田间的防治效果进行了调查。监测结果表明,监测期间梨小食心虫成虫发生有3个高峰期：第一个高峰期在6月15日—7月1日,第二个高峰期在7月23—29日,第三个高峰期在8月28日—9月3日。性诱剂诱捕的防治效果调查表明,两种性诱剂诱捕器对梨小食心虫成虫的防治均有效果,且三角形诱捕器效果较好。本研究明确了梨小食心虫成虫在运城地区的发生动态及性诱剂诱捕的防治效果,为运城地区梨园梨小食心虫的预测预报及绿色防治提供了科学依据。     

Impact analysis of climate data aggregation at different spatial scales on simulated net primary productivity for croplands

For spatial crop and agro-systems modelling, there is often a discrepancy between the scale of measured driving data and the target resolution. Spatial data aggregation is often necessary, which can introduce additional uncertainty into the simulation results. Previous studies have shown that climate data aggregation has little effect on simulation of phenological stages, but effects on net primary production (NPP) might still be expected through changing the length of the growing season and the period of grain filling. This study investigates the impact of spatial climate data aggregation on NPP simulation results, applying eleven different models for the same study region (∼34,000 km²), situated in Western Germany. To isolate effects of climate, soil data and management were assumed to be constant over the entire study area and over the entire study period of 29 years. Two crops, winter wheat and silage maize, were tested as monocultures. Compared to the impact of climate data aggregation on yield, the effect on NPP is in a similar range, but is slightly lower, with only small impacts on averages over the entire simulation period and study region. Maximum differences between the five scales in the range of 1–100 km grid cells show changes of 0.4–7.8% and 0.0–4.8% for wheat and maize, respectively, whereas the simulated potential NPP averages of the models show a wide range (1.9–4.2 g C m⁻² d⁻¹ and 2.7–6.1 g C m⁻² d⁻¹ for wheat and maize, respectively). The impact of the spatial aggregation was also tested for shorter time periods, to see if impacts over shorter periods attenuate over longer periods. The results show larger impacts for single years (up to 9.4% for wheat and up to 13.6% for maize). An analysis of extreme weather conditions shows an aggregation effect in vulnerability up to 12.8% and 15.5% between the different resolutions for wheat and maize, respectively. Simulations of NPP averages over larger areas (e.g. regional scale) and longer time periods (several years) are relatively insensitive to climate data aggregation. However, the scale of climate data is more relevant for impacts on annual averages of NPP or if the period is strongly affected or dominated by drought stress. There should be an awareness of the greater uncertainty for the NPP values in these situations if data are not available at high resolution. On the other hand, the results suggest that there is no need to simulate at high resolution for long term regional NPP averages based on the simplified assumptions (soil and management constant in time and space) used in this study.     

Specific ion effect of H+ on variably charged soil colloid aggregation

Specific ion effects (Hofmeister effects) have recently attracted the attention of soil scientists, and it has been found that ionic non-classic polarization plays an important role in the specific ion effect in soil. However, this explanation cannot be applied to H⁺. The aim of this work was to characterize the specific ion effect of H⁺ on variably charged soil (yellow soil) colloid aggregation. The total average aggregation (TAA) rate, critical coagulation concentration (CCC), activation energy, and zeta potential were used to characterize and compare the specific ion effects of H⁺, K⁺, and Na⁺. Results showed that strong specific ion effects of H⁺, K⁺, and Na⁺ existed in variably charged soil colloid aggregation. The TAA rate, CCC, and activation energy were sensitive to H⁺, and the addition of a small amount of H⁺ changed the TAA rate, CCC, and activation energy markedly. The zeta potential results indicated that the specific ion effects of H⁺, K⁺, and Na⁺ on soil colloid aggregation were caused by the specific ion effects of H⁺, K⁺, and Na⁺ on the soil electric field strength. In addition, the origin of the specific ion effect for H⁺ was its chemical adsorption onto surfaces, while those for alkali cations were non-classic polarization. This study indicated that H⁺, which occurs naturally in variably charged soils, will dominate variably charged soil colloid aggregation.     

2018年夏季南奥克尼群岛南极磷虾集群特征

基于2018年夏季南奥克尼群岛南极磷虾资源声学调查数据，本研究对该海域南极磷虾集群进行了分析。结果显示，检测到南极磷虾集群3 224个，反映集群特征的5个参数即深度、长度、厚度、面积及密度分别为(96.00±64.33) m、(218.52±455.66) m、(11.19±13.98) m、(1 894.40±9 345.72) m²和(114.11±159.60) 尾/m³；不同时间段之间集群密度无显著性差异，但集群深度、长度、厚度及面积之间均存在显著性差异。不同水层间集群厚度和面积之间无显著性差异，但集群深度，长度和密度均存在显著性差异。南极磷虾集群共分为三类，其中第Ⅰ类集群密度最大，为(325.90±221.30) 尾/m³；集群规模最小，为(379.64±433.73) m²；深度最深，为(158.06±67.54) m。第Ⅱ类集群的长度最长，为(1 089.60±1 189.56) m；集群面积为(15 601.25±30 243.33) m²，远大于其他集群。第Ⅲ类集群深度最浅，为(78.91±52.88) m；密度最小，为(48.87±50.33) 尾/m³，但数量最多。     

Effect of Pheromone Blend Components,Sex Ratio,and Population Size on the Mating of Cadra cautella (Lepidoptera: Pyralidae)

The almond moth Cadra cautella (Walker), a key pest of storage facilities, is difficult to manage using synthetic chemicals. Pheromone-based management methods remain a high priority due to advantages over conventional management practices, which typically use insecticides. Cadra cautella females release a blend of pheromone including (Z, E)-9,12-tetradecadienyl acetate (ZETA) and (Z)-9-tetradecadien-1-yl acetate (ZTA). The effect of these components on mating of C. cautella and how response varies with the population density and sex ratio remain unknown. In this study, the mating status of C. cautella was studied inside mating cages under different ratios of ZETA and ZTA diluted in hexane and at different population sizes either with equal or unequal sex ratio. The lowest percentage of mated females (highest mating disruption [MD] effects), corresponding to roughly 12.5%, was produced by a 5:1 and 3.3:1 ratio of ZETA:ZTA. Populations with equal sex ratio showed the lowest percentage of mated females, at 20% and 12.5% under lower and higher density, respectively. The next lowest percentage of mated females was produced when the sex ratio was set to 1: 2 and 2:1 male:female, with just 25% and 22.5% of moths mated, respectively. This study shows that mating status of C. cautella is influenced by ZETA:ZTA ratio, sex ratio, and population size. This current knowledge would have useful implications for mating disruption programs.     

K步稳定的鞋印花纹图像自动聚类

目的 鞋印是刑事侦查的重要物证之一,如何对积累的大量鞋印花纹图像进行自动归类管理是刑事技术迫切需要解决的问题之一。与其他类图像不同,鞋印花纹图像具有种类多但数目未知、同类花纹分布不均匀且同类花纹数目少的特点。基于鞋印花纹图像的这些特点,用目前典型的聚类算法对鞋印花纹图像集进行聚类,并不能取得很好的效果。在对鞋印花纹图像进行分析的基础上,提出一种K步稳定的鞋印花纹图像自动聚类算法。方法 对已标记的鞋印花纹图像进行统计发现,各类鞋印花纹之间在特征空间上存在互不相交的区域(本文称为隔离带)。算法的核心思想是寻找各类鞋印花纹之间的隔离带,来将各类分开。过程为:以单调递增或递减的方式调整特征空间中判定两点为一类的阈值,得到数据集的多次划分;若在连续K次划分的过程中,某一类的成员不发生变化,则说明这K次调整是在隔离带中进行的,即聚出一类,并从数据集中删除已标记的数据;选择下一个阈值对剩余的数据集进行划分,输出K步不变的类;依此类推,直到剩余数据集为空,聚类完成。结果 在两类公开测试数据集和实际鞋印花纹数据集上进行实验,本文算法的主要性能指标都超过典型算法,其中在包含5792枚实际鞋印花纹数据集上的聚类准确率和F-Measure值分别达到了99.68%和95.99%。结论 针对鞋印花纹图像特点,提出了一种通过寻找各类之间的隔离带进行自动聚类的算法,并在实际应用中取得了很好的效果。且算法性能受参数的变化以及类的形状影响较小。本文算法同样适用于具有类似特点的其他数据集的自动聚类。