土壤生态环境损害鉴定评估中基线确定方法讨论

随着近年来我国经济的高速发展,各地生态环境污染和破坏形势日益严重,特别是涉及土壤环境的污染和破坏事件日益增加,需要对发生土壤污染的场地进行损害鉴定评估工作。根据生态环境部《生态环境损害鉴定评估技术指南总纲和关键环节第1部分:总纲》(GB/T39791.1-2020)等技术规范,规定了4种基线确定方法:即历史数据法、对照数据法、标准基准和专项研究等方法。通过相关案例,主要分析了土壤生态环境损害鉴定评估工作中对照数据法中基线值确定方法,为后续开展相关土壤环境损害鉴定评估工作提供一定的参考。     

生猪保险查勘定损工作中的生物安全风险防范措施探讨

在非洲猪瘟防控新形势下,各猪场都高度重视生物安全,对生物安全风险防范工作提出了新的要求。在这种情况下,过去生猪保险查勘定损中的一些传统做法已经不能适应新形势,出现了猪场封闭式管理和查勘定损工作相冲突,病死猪理赔监督不到位、死亡原因不明、处理不及时以及部分查勘员生物安全意识淡薄等现象。对此,有关部门和机构应加强生物安全培训,采用网络和电子化等手段变革传统工作方式,在保险机构和畜牧兽医部门间加强联动和信息共享,把查勘定损、无害化处理和疫病监测溯源工作有机结合,把生物安全风险降到最低。     

Impact of the COVID-19 pandemic on agricultural exports

The COVID-19 outbreak has shocked the world's economies in the year of 2020. As this pandemic spreads around the globe, many experts feared that the global food supplies might start running short, especially if supply chains were disrupted. COVID-19 also added to the uncertainty of the business operation. Therefore, it is critical to understand how COVID-19 pandemic affected global food supply and market. In this study, we investigate the impact of COVID-19 on agricultural export companies in China using a unique firm-level survey data. We found that although on average agricultural businesses experienced declines in the exports, exports of some agricultural products especially grain and oil held strong and even increased, implying the essential demand for staple food during the pandemic. Not surprisingly, exports of medicinal herb also increased significantly during the pandemic. However, exports of goods such as edible fungus and horticultural products sharply decreased. Our results also showed that in general, impact of COVID-19 on smaller firms was more severe than that on larger firms. The results of this study can provide useful guidance and implications for agricultural businesses and policy makers on their COVID-19 mitigation efforts to navigate this global pandemic.     

基于无人机与激光测距技术的农田地形测绘

平整地技术是提高作物单产的重要措施，而获取高精度的农田地形测绘数据与农田数字地形模型，是进行精准平整地作业的必要条件。为了解决传统接触式地形测绘效率低、基于航拍摄影技术的遥感地形测绘精度差及作业成本高等问题，该研究提出了一种基于多旋翼无人机与激光测距技术的农田地形测绘方法。在多旋翼无人机测绘平台上搭载激光测距模块与后处理动态差分全球定位系统设备（Post-Processing Kinematic Global Positioning System，PPK-GPS），获取激光测距序列、PPK-GPS三维定位数据以及无人机的飞行姿态数据。首先使用均值滤波器处理原始激光测距序列，并将得到的激光测距序列与PPK-GPS定位数据进行同步处理，使二者建立空间对应关系。根据无人机倾斜状态时的测距激光方向与理论竖直方向的空间几何关系，使用从无人机的飞行控制器中提取的姿态信息校正激光测距序列，消除无人机平台在飞行过程中俯仰与横滚姿态变化对激光测距精度的影响。最后，根据PPK-GPS定位数据的海拔高度分量与激光测距序列计算试验地块内地面测量点的海拔高度，共获取1 417组地面测量点的有效测绘数据。利用手持PPK-GPS设备对地面测量点的海拔高度进行测绘精度检验。验证试验结果表明，本文提出的无人机农田地形测绘系统获取的海拔高度与手持PPK-GPS设备采集的海拔高度的均方根误差为5.2 cm，表明该无人机农田地形测绘系统具有较高的测绘精度。与利用手持GPS设备进行地形测绘作业的方法相比较，本文提出的无人机农田地形测绘系统具有自动化程度高、作业效率高等优点。该研究可为促进精准平整地技术的大规模应用提供数据支持。     

清澜省级自然保护区红树林资源调查分析

通过样点实地调查,调查到海南清澜省级自然保护区具有真红树植物11科24种,半红树植物15科20种；根据组成种类,群落特征和立地条件,把红树林植物群落划分为12个红树林群系和4个半红树林群系。     

基于边缘检测和区域定位的玉米根茎导航线提取方法

基于玉米根茎图像信息，提出一种基于边缘检测和区域定位的玉米根茎导航线提取方法。首先，利用最大类间方差法自动分割2G-R-B灰度图像，得到二值化图像，结合形态学处理、位置/面积去噪方法提高二值化图像质量，对去噪图像按列累加得到列像素累加曲线；针对传统方法得到的特征点中伪特征点较多的问题，引入高斯滤波器平滑累加曲线，并运用极值法减少玉米根茎伪特征点的干扰，在提取玉米茎秆边缘直线时，提出基于最远茎秆成像宽度的双侧边缘判别思路，通过扫描每条边缘直线的四边形封闭邻域有效剔除伪边缘直线；最后，根据边缘直线二次定位玉米的根茎区域范围，并剔除伪特征点，采用最小二乘线性拟合方法准确提取导航线。试验表明，本文算法处理一幅1280像素×720像素图像耗时约236ms，特征点拟合准确率为92%。与传统方法相比，本文算法精度高、实时性好，在缺苗、杂草较多和株距不标准的情况下仍具有较强的鲁棒性。     

An assessment of carcass counting surveys with increasing time lapse following a simulated fish kill on a small upland stream

A simulated fish kill was conducted on a small upland stream in Northern Ireland by planting out hatchery‐produced brown trout Salmo trutta L. carcasses of various size categories. Standard, post‐fish kill, assessment walkover surveys were conducted over time intervals to determine the number of carcasses visible. The sample variance between individual surveyors was generally low, with good agreement between the observed counts for the three, discrete, size fractions of fish up to 72 hr after the simulated fish kill. Despite low discharge rates, shallow water and good accessibility to the experimental stream, only 52% of the small category fish (<8 cm L_F) were recorded 4 hr after the start of the simulated fish kill. Larger carcasses (>17 cm L_F) were more visible, and >90% were detected 48 hr after the start of the simulated fish kill. After 96 hr, all size fractions of carcasses had reduced significantly, and the variability between replicate surveys increased markedly.     

不同薏苡品种黑穗病发生情况调查

为筛选出适合宁化县推广种植的抗黑穗病品种，于2013年对当地种植的5个薏苡品种黑穗病发生情况进行调查，结果表明：龙薏一号黑穗病发病率最低，表现对黑穗病的抗性强，且产量较高，每667m2产量为257．43kg，适宜在薏苡黑穗病重发区推广种植。     

Identification and distribution of fungal pathogens associated with seedling blight of rice in the southern United States

Surveys were conducted in the five southern rice-producing states of Arkansas, Louisiana, Mississippi, Missouri and Texas in the United States during the 2018 and 2019 cropping seasons to determine the distribution and pathogenicity of fungal pathogens associated with seedling blight in rice. A total of 349 pathogenic fungal isolates were collected and identified as belonging to four genera: Rhizoctonia solani, Fusarium spp., Sclerotium rolfsii and Marasmius graminum based on morphological characteristics, molecular analysis and Koch's postulates. R. solani (252 out of 349 pathogenic isolates) was the most prevalent fungus isolated from diseased samples. Of the 252 pathogenic R. solani isolates, 245 were further classified as anastomosis group 11 (AG-11) and 7 as AG-4. Isolates of R. solani AG-4 and M. graminum were the most aggressive, with the highest stand loss (63% to 100%) and median disease rating (DR; 5.0), followed by isolates of R. solani AG-11 (stand loss = 4% to 100% and DR = 0.6 to 5.0), Fusarium spp. (stand loss = 26% to 48% and DR = 2.0 to 5.0) and S. rolfsii (stand loss = 33% to 48% and DR = 2.0 to 3.0) in causing seedling blight in rice. R. solani (62% to 83% of total pathogenic isolates) and Fusarium spp. (10% to 24% of total pathogenic isolates) were predominant in all the five states surveyed. S. rolfsii and M. graminum were present only in Louisiana and Texas. The results of this first systematic survey of rice seedling diseases in the southern United States will help develop effective fungicide seed treatment strategies for control of stand loss caused by seedling blight, one of the major factors limiting rice production.