滑县花生新黑地蛛蚧的发生与防治技术

花生新黑地蛛蚧是近年来滑县花生田新发现的一种地下害虫，对花生造成危害，影响花生的 品质和产量。本文主要介绍新黑地蛛蚧的形态特征、发生规律、生活习性、为害症状及防治措施。     

Impact of land‐use intensity on the relationships between vegetation indices,photosynthesis and biomass of intensively and extensively managed grassland fens

Vegetation indices are widely used as model inputs and for non‐destructive estimation of biomass and photosynthesis, but there have been few validation studies of the underlying relationships. To test their applicability on temperate fens and the impact of management intensity, we investigated the relationships between normalized difference vegetation index (NDVI), leaf area index (LAI), brown and green above‐ground biomass and photosynthesis potential (PP). Only the linear relationship between NDVI and PP was management independent (R² = 0·53). LAI to PP was described by a site‐specific and negative logarithmic function (R² = 0·07–0·68). The hyperbolic relationship of LAI versus NDVI showed a high residual standard error (s.e.) of 1·71–1·84 and differed between extensive and intensive meadows. Biomass and LAI correlated poorly (R² = 0·30), with high species‐specific variability. Intensive meadows had a higher ratio of LAI to biomass than extensive grasslands. The fraction of green to total biomass versus NDVI showed considerable noise (s.e. = 0·13). These relationships were relatively weak compared with results from other ecosystems. A likely explanation could be the high amount of standing litter, which was unevenly distributed within the vegetation canopy depending on the season and on the timing of cutting events. Our results show there is high uncertainty in the application of the relationships on temperate fen meadows. For reliable estimations, management intensity needs to be taken into account and several direct measurements throughout the year are required for site‐specific correction of the relationships, especially under extensive management. Using NDVI instead of LAI could reduce uncertainty in photosynthesis models.     

Effects of selective cutting and timing of herbicide application on growth and development of Cirsium arvense in spring barley

Recently, a new implement for controlling weeds in cereals (CombCut) has been developed. It cuts weeds in growing cereals without damaging them by using the physical differences (in height, stem thickness, straw stiffness and branching pattern) between crops and weeds. To evaluate and compare the effects of selective cutting with different timings of herbicide application on Cirsium arvense in spring barley, a randomised block experiment was conducted in Sweden in 2015–2017, in a field with a naturally occurring C. arvense population. Treatments consisted of control (C), herbicide application at 4–5‐leaf stage of C. arvense (H1), herbicide application at 8–10‐leaf stage (H2) and selective cutting at 10‐leaf stage (S). The treatments were performed in 2015 and repeated in 2016 in the same plots, and a final evaluation was performed in 2017. Compared to the control, S, H1 and H2 were equally efficient in reducing above‐ground biomass production of C. arvense and increasing spring barley grain yield per unit area. The number of C. arvense shoots per area was, however, higher in S compared to H1 and H2. No differences in control effects on shoot number were observed between H1 and H2. Our study indicates that (i) selective cutting (S) reduces C. arvense equally efficient as herbicide application and (ii) early herbicide spraying is as efficient as spraying later in the season.     

严格意义的无霜期统计方法探讨

根据霜冻和无霜期对农作物生长的影响及农业气候区划的指导意义,比较无霜期与严格意义上的“无冻期”的关系和区别,分析霜冻出现的初、终日与霜、结冰现象及气温、地面温度、草面温度≤0℃出现的初日、终日之间的关系,探讨“无霜冻期”的合理统计方法,并通过对鄂东地区的麻城、浠水、黄石三地的无霜期和“无冻期”的统计,总结两者的差异和特征,从而为正确理解和统计无霜冻期,提出一套新的观点和方法,为指导农业生产和农业气候区划提供依据。     

基于变分法的FY-3C土壤水分产品适用性分析

FY-3C作为我国风云三号首颗业务卫星,其上搭载的微波成像仪(MWRI)可提供全天候土壤水分数据。【目的】获取高质量土壤水分数据可以对合理利用土壤水资源提供参考,为农田干旱监控和预报提供基础参数。【方法】选取山东省农业气象站土壤水分数据对FY-3C土壤水分产品进行检验,为获取更高质量FY-3C土壤水分产品,选用变分订正方法对FY-3C土壤水分产品进行偏差订正。【结果】FY-3C升降轨土壤水分产品与地面站土壤水分相关系数R分别为0.481 6和0.408 2,RMSE分别为0.099 6和0.091 0 cm~3/cm~3。订正后FY-3C升降轨土壤水分产品与地面站土壤水分R分别为0.701 4和0.892 4,RMSE分别为0.021 7和0.011 cm~3/cm~3。对2016年3—4月山东省干旱过程订正前、后FY-3C土壤水分变化情况进行对比,订正后FY-3C土壤水分更准确地反映出此次干旱过程。【结论】FY-3C土壤水分产品可以准确反映土壤水分随时间的变化趋势,订正后FY-3C土壤水分产品与地面站土壤水分间误差减小、相关性提高。     

The importance of sub‐peat carbon storage as shown by data from Dartmoor,UK

Peatlands are highly valued for their range of ecosystem services, including distinctive biodiversity, agricultural uses, recreational amenities, water provision, river flow regulation and their capacity to store carbon. There have been a range of estimates of carbon stored in peatlands in the United Kingdom, but uncertainties remain, in particular with regard to depth and bulk density of peat. In addition, very few studies consider the full profile with depth in carbon auditing. The importance of sub‐peat soils within peatland carbon stores has been recognized, but remains poorly understood and is included rarely within peatland carbon audits. This study examines the importance of the carbon store based on a study of blanket peat on Dartmoor, UK, by estimating peat depths in a 4 × 1 km survey area using ground penetrating radar (GPR), extraction of 43 cores across a range of peat depth, and estimation of carbon densities based on measures of loss‐on‐ignition and bulk density. Comparison of GPR estimates of peat depth with core depths shows excellent agreement, to provide the basis for a detailed understanding of the distribution of peat depths within the survey area. Carbon densities of the sub‐peat soils are on average 78 and 53 kg C/m³ for the overlying blanket peat. There is considerable spatial variability in the estimates of total carbon from each core across the survey area, with values ranging between 56.5 kg C/m² (1.01 m total depth of peat and soil) and 524 kg C/m² (6.63 m total depth). Sub‐peat soil carbon represents between 4 and 28 per cent (mean 13.5) of the total carbon stored, with greater values for shallower peat. The results indicate a significant and previously unaccounted store of carbon within blanket peat regions which should be included in future calculations of overall carbon storage. It is argued that this store needs to be considered in carbon audits.