夜间温度对薄皮甜瓜果实膨大及多胺含量的影响

 为探讨果实内源多胺对温度胁迫的响应及其与果实膨大之间的关系，以薄皮甜瓜(Cucumis melo L.)'玉美人'为试材,研究了不同夜间温度对果实膨大及内源多胺含量的影响。结果表明，12 ℃处理的单果质量、果实横径、纵径最大,其次是15 ℃处理，18 ℃处理的单果质量、果实横径、纵径显著低于15 ℃处理，而9 ℃处理又显著低于18 ℃处理。从果实多胺含量变化情况看，除精胺外，果实总多胺、亚精胺、腐胺均随着果实的发育而减少，但不同夜温处理间存在差异，在夜温处理6 d内的果实快速膨大期，腐胺、亚精胺、精胺和总多胺含量均是9 ℃夜温处理显著低于12 ℃、15 ℃和18 ℃处理，18 ℃处理又显著低于12 ℃和15 ℃处理，而15 ℃和12 ℃处理间无显著差异。腐胺、亚精胺、总多胺含量与单果质量增长率呈显著或极显著正相关。这些结果说明夜间温度对薄皮甜瓜果实膨大的影响可能与多胺含量的变化有关。     

基于特征筛选算法的数字土壤制图研究

平缓地带数字土壤制图中，环境协变量的选择是提高制图精度的关键。已有研究证明遥感影像可作为推理制图的辅助因子，而如何确定环境因子推理制图时各自的权重已成为现阶段研究的重点。选取湖北省麻城市乘马岗镇为研究区，采用3种特征筛选方法进行有效环境变量筛选，探索参与平原-丘陵混合区域制图的因子并确定其重要性，依据选择的相对稳定的指标，进一步探索提高土壤类型制图准确性的途径。根据141个野外独立样点的检验结果表明：在推理制图中，遥感因子在平原区域的重要性程度高于丘陵区域，且遥感因子中归一化植被指数(NDVI)和均值(Mean)较为稳定；基于递归特征算法的按地形推理制图精度最高为75.89%，分别高于ReliefF算法和基于Tree的特征筛选算法13.48%和4.97%；此外3种特征筛选算法制图结果中，按地形因子分区制图的精度均高于整体区域制图。因此，遥感因子作为辅助手段参与推理过程可有效提高制图精度。本研究采用的特征挖掘与机器学习算法对提升土壤制图精度具有一定的理论意义。     

土壤施硅对小麦和麦蚜的影响

为明确土壤施硅对小麦蚜虫的防控效果，本研究在小麦种植前分别配施0（CK）、40、80和120 kg/hm²四个浓度的硅肥，测量施硅后小麦生育期、生物量、叶面积、株高、产量指标以及荻草谷网蚜Sitobion miscanthi和禾谷缢管蚜Rhopalosiphum padi发生量。结果表明，施硅对小麦株高和穗数无显著影响，但80 kg/hm²和120 kg/hm²浓度施硅处理后小麦叶面积分别为1 786.03 mm²和2 033.54 mm²，生物量分别为133.68 g和134.50 g，小麦穗粒数分别为35.61粒和35.92粒，小麦千粒重分别为45.34 g和45.59 g，小麦产量分别为9 684.45 kg/hm²和9 835.05 kg/hm²，均显著高于对照，且小麦成熟期较对照提前3 d；80 kg/hm²和120 kg/hm²浓度施硅处理后禾谷缢管蚜发生量分别为90头和86头，均显著低于对照；40、80和120 kg/hm²浓度施硅处理后荻草谷网蚜发生量分别为128、117和105头，均显著低于对照。因此，田间土壤施硅80 kg/hm²和120 kg/hm²可以明显改善小麦农艺性状，提高小麦产量，并能减少麦蚜发生量。     

Predicting Carbon Stocks Following Reforestation of Pastures: A Sampling Scenario‐Based Approach for Testing the Utility of Field‐Measured and Remotely Derived Variables

Reforestation of agricultural lands is an important means of restoring land and sequestering carbon (C). At large scales, the labour and costs of direct measurement of ecosystem responses can be prohibitive, making the development of models valuable. Here, we develop a new sampling scenario‐based modelling approach coupled with Bayesian model averaging to build predictive models for absolute values in mixed‐species woody plantings and differences from their adjacent pasture, for litter stocks, soil C stocks and soil C:N ratios. Modelling scenarios of increasing data availability and effort were tested. These included variables that could be derived without a site visit (e.g. location, climate and management) that were sampled in the adjacent pasture (e.g. soil C and nutrients) or were sampled in the environmental planting (e.g. vegetation, litter properties, soil C and nutrients). The predictive power of models varied considerably among C variables (litter stocks, soil C stocks and soil C:N ratios in tree plantings and their differences to their adjacent pastures) and the model scenarios used. The use of a sampling scenario‐based approach to building predictive models shows promise for monitoring changes in tree plantings, following reforestation. The approach could also be readily adapted to other contexts where sampling effort for predictor variables in models is a major potential limitation to model utilization. This study demonstrates the benefit of exploring scenarios of data availability during modelling and will be especially valuable where the sampling effort differs greatly among variables. Copyright © 2016 John Wiley & Sons, Ltd.     

Carbon Fluxes from Different Pools in a Mined Area under Reclamation in Minas Gerais State,Brazil

Despite the benefits of grass cultivation and organic fertilization in mining areas undergoing reclamation, these practices may be associated to CO₂ emissions and soil organic matter (SOM) losses by priming effect. In the present study, we evaluated the changes on SOM pools and C–CO₂ emissions in a bauxite‐mined area under reclamation fertilized with poultry litter (PL) (0, 10, 20, and 40 Mg ha⁻¹) and cultivated with Brachiaria brizantha . Increases of about 3·5 times in the soil labile C were observed 1 year after experiment establishment. High C–CO₂ fluxes and a significant positive priming effect were observed in the presence of B. brizantha , increasing native C mineralization by nearly 4·9 times. Nevertheless, no net soil C loss was detected, probably because of the C inputs derived from B. brizantha , which offset these losses. In fact, the grass increased total organic C by 45% when fertilized with 40 Mg PL ha⁻¹. The data obtained suggest that the cultivation of B. brizantha fertilized with PL can be a promising option for rapid recovery in SOM in areas under reclamation. Copyright © 2016 John Wiley & Sons, Ltd.     

土壤养分数据几种特异值处理方法的比较

利用贵州省平坝县马场镇栗木村的13项土壤养分测试数据,对比分析了3σ准则、估计邻域法、影响系数法、邻近点数据比较法4种识别与处理特异值方法的优劣。结果表明:将3σ准则与邻近点数据比较法相结合,对土壤养分测试数据进行特异值处理获得了较好的效果,对提高地质统计学研究结果的精度有积极的作用。     

Complexities Surrounding China's Soil Action Plan

China's soil pollution is serious, with 16·1% of all soil samples exceeding soil quality standard according to a national soil quality survey. On 31 May 2016, the Chinese government unleashed an ambitious plan to address its soil pollution problem. The large scale and fast pace of the proposed plan pose many challenges. There are biogeochemical complexities governing the fate and transport of soil contaminants that require more thorough study. There are also human‐related complexities and dynamic feedback loops, which determine the behaviour of farmers, industrial polluters, remediation practitioners and regulators. Soil pollution prevention and remediation also have externalities and spillover effects ranging from greenhouse gas emission to social justice. Rigorous policy instruments must be developed to account for complex human behaviour, to strengthen risk management and to encourage interdisciplinary scientific research. Copyright © 2017 John Wiley & Sons, Ltd.     

水保林水源涵养与防止侵蚀效益评价信息系统

密云水库上游水源保持林水源涵养与防止土壤侵蚀效益评价信息系统是以管理信息系统理论为指导，按照信息系统的设计流程研制开发的，为水源保护林水源涵养与防止土壤侵蚀效益评价及预测的专题性系统。     

温度对方斑东风螺生长与摄食影响的初步试验

本文是在小水体、自动控温的条件下,研究不同水温方斑东风螺(B.areolata)的生长、摄食和存活.2种不同时间的对比试验,分别为约1个月和3个月,不同时间的试验结果相近.在22～32℃的水温范围,水温22℃和32℃方斑东风螺的生长速度略有降低.但在此范围内,不同水温方斑东风螺的生长差异不明显.根据试验结果和养殖生产的实际情况,可以认为,方斑东风螺人工养殖适宜水温22℃～28℃,最适水温24℃～28℃.另外,方斑东风螺耐受的高温是34℃,35.5℃出现死亡.能耐受7～8℃的低温.     

甜椒耐低温弱光材料筛选方法的研究

以3个不同低温弱光耐性甜椒(Capsicum annuum L.)材料为试材,研究其在不同低温弱光下幼苗生长形态与生理指标的变化差异及其成株期产量水平的差异状况。结果表明:昼夜温度15℃/5℃、光照强度4 000 lx、光照8 h、处理时间15 d是筛选甜椒耐低温弱光材料的适宜选择压力,开展度变化量是最佳的形态鉴定指标,茎粗、株高的变化量可作形态鉴定的参考指标。在此条件下,开展度以及茎粗、株高变化量的大小与材料的低温弱光耐受性的表现相一致。耐低温弱光材料茎的增粗与株的增高明显、叶片萎垂现象轻微,生长受到的抑制程度较轻,且与不耐低温弱光材料在开展度变化指标上的差异显著,易于正确地鉴定出低温弱光耐性材料。