泡桐属植物育种值预测方法的研究

分别用最佳线性无偏预测和最佳线性预测方法预测了泡桐属植物的育种值。结果表明，根据亲缘相关距阵对育种值的最佳线性无偏预测结果没有显著影响：数据量较大时，可用小区平均值取代单株值，同时也可用最佳线性预测代替最佳线性无偏预测方法预测育种值；预测育种值与真正育种值之间的相关系数与预测育种值之间的方法或误差方差存在极显著的相关关系，可用前者作预测育种值的精度指标。通过比较毛泡桐种源所预测育种值之间的方差和误差方差可以得出：在对研究材料评选时，最佳线性预测比最小平方估算法具有优越性，但当重复数大于5次，每个小区内的植株多于6时，这两种预测方法的精度非常接近。     

Predicting regeneration establishment in Norway spruce plantations using a multivariate multilevel model

This study predicts the regeneration establishment on 3-year-old Norway spruce (Picea abies (L.) Karst.) plantations in southern Finland using regeneration survey data. Regeneration establishment was described by seven response variables: number of planted spruces, natural Scots pines (Pinus sylvestris L.), natural spruces, natural seed-origin birches (Betula pubescens Ehrh. and B. pendula Roth.) and other broadleaves (i.e. sprout-origin birches and other broadleaves than birch), as well as height of crop-tree spruce and dominant height of broadleaves. Due to the multivariate (several responses for each plot) and multilevel (plot, stand, municipality, forest centre) structure, regeneration establishment was modelled by fitting a multivariate multilevel model with explanatory variables such as temperature sum, site fertility, soil quality and method of site preparation. In the model, the numbers of tree seedlings were modelled using over-dispersed Poisson distributed equations, and the tree heights were modelled using normally distributed linear equations. The estimated fixed and random parameters of the equations were logical, and there was no serious bias in predicting the regeneration establishment in the independent test data set. This modelling approach can be used to predict the regeneration establishment stochastically by taking into account the large unexplained variation in regeneration models.     

森林防火3S平台的构建及其应用初探

介绍了3S系统的概念、特点及其在森林防火中的应用意义、国内外3S技术研究及应用进展;从实用性和可靠性、方便性和高效性、安全性和保密性、系统性和整体性、先进性和前瞻性等方面阐述了构建森林防火3S平台的原则;提出通过林火信息管理子系统、林火扑救指挥和实时监测子系统、林火预测预报子系统、林火设施的布局分析子系统、灾后评估及后处理子系统等的建立与应用,构建森林防火3S平台;并展望了3S技术在森林防火中的应用前景。     

外界生态因子对油茶品质影响的研究

对21个地区58个油茶物种(或优良品种)进行了含油率、脂肪酸组成、碘值和粗蛋白质等化学品质的分析。通过选取14个不同地区的普通油茶(Camellia oleifera Abel)的品质与19个生态因子进行多元线性逐步回归分析,揭示了不饱和脂肪酸含量与纬度成明显的正相关;种仁蛋白质含量与8、9月份的降雨量呈负相关的趋势。品质之间的相关分析表明:不饱和脂肪酸含量与蛋白质含量存在明显的负相关关系;不同物种之间,其不饱和脂肪酸含量与果实的大小成负相关。     

无卡轴旋切机变速进给模型与恒线速旋切运动轨迹模型的研究

详细分析了无卡轴旋切机的工作原理,推导了旋切过程中刀刃进给速度与圆木直径的数学模型,同时得出旋切时间的近似计算式。从中可知,旋切过程中刀刃进给速度必须按一定规律变化才能保证旋切机正常工作。建立了旋切机恒线速旋切的运动轨迹模型,推导出旋切机恒线速旋切时间的精确计算式,并在此基础上提出了旋切时间简便的近似计算式。这些研究结果均可用于指导设计和进行实际生产。     

Using model scenarios to predict and evaluate forest-management impacts on soil base saturation at landscape level

Silviculture, forest conversion and technical tools of ecosystem management, such as forest liming, display their effects at the landscape level. Therefore their planning and control should take place at the same scale. The primary objective of this work was to assess soil chemical properties and their changes in relationship to ecosystem management, especially forest conversion and forest liming. We calculated scenario models, based on regression analysis, which allow such an examination in the context of understanding landscape processes which can be expected to operate in the sampling region. Stepwise multiple linear regression analysis was used to predict soil chemical attributes (base saturation, pH, C/N content and stock, exchangeable stocks of Ca and Mg) as indicators of site stability or off-site effects of forest ecosystems such as effects on clean drinking water from forested watersheds. Because of space limitations, in this paper only the modelling results of base saturation are presented. Base saturation was used as an integrative example for other soil chemical properties. The transformation of measurements to the regional scale, i.e., the regionalization, was calculated for the forested parts of two test regions in the Black Forest on the basis of measured chemical properties of 90–150 soil profiles per test region. The models have a spatial resolution of 50×50 m, which is a spatial scale relevant for forestry practice and forest management. Topographic variables (e.g., elevation, aspect, slope gradient, and slope length), the stratigraphic classification of the geologic substrate, stand characteristics from forest inventory data, and finally technical information about forest liming were the auxiliary variables (secondary site properties) that provided indirect information about base saturation and were available for the whole forested area of the test regions. Base saturation could be predicted with an accuracy of ~50–70% (in terms of the multiple R²) by using these properties as predictor variables in multiple linear regression analyses. The explained proportion of variance was unexpectedly high considering the high geomorphological heterogeneity of the two test regions. Based upon the regionalization models, it was possible to establish scenarios showing the landscape-related effects on base saturation that may be achieved by forest conversion towards a higher proportion of forests with broad-leaved mixed stands and by forest liming. These scenarios allow the interactions between several influencing factors and management strategies and the impacts on the target variable to be synoptically judged. Thus the presented regionalization models achieve the role of decision support tools for the planning of forest management at the landscape level. They allow an assessment of the environmental effects of forest management strategies in terms of site sustainability or preservation of water resources in forested catchments.     

红外光谱结合多元线性回归法快速测定木塑复合材料中木粉含量

采用KBr压片法对杉木/聚丙烯(PP)复合材料样品进行了红外光谱分析,确定杉木特征吸收谱带为1740~1730、1610~1590、1270~1260、1060~1050以及1040~1030 cm-1,以PP在1377 cm-1处吸收强度(I)为内标,对木塑复合材料(WPC)中木粉含量和杉木特征峰相对吸收强度进行相关性分析,并采用逐步多元线性回归法建立木粉含量与相对峰强间的多元线性回归方程。结果表明,选取I(1060-1050)/I1377、I(1270-1260)/I1377为回归变量建立的二元线性回归方程和以I(1060-1050)/I1377、I(1040-1030)/I1377及I(1270-1260)/I1377为回归变量建立的三元线性回归方程,具有较高的预测精度。木粉含量的预测值和参照值之间具有强烈的相关性,校正决定系数(R2c)超过0.98,验证决定系数(R2p)超过0.96。外部验证结果表明,线性回归方程预测准确性较高,预测相对偏差范围为0.9%至7.4%,其中三元线性回归方程预测准确性稍好于二元线性回归方程。     

基于 GIS 的中国草地合理载畜量空间化

天然草地合理载畜量是反映草地合理利用强度的基本单位。为提高草地合理载畜量的划分精度,根据“极大似然逼近原理”,创建了异质因子控制下的“线性回归+区域化值残差修正”数据空间化方法。以全国草地资源调查汇总数据中县域理论载畜量和1∶400万中国草地资源图为基础数据,采用分省控制构建了理论载畜量与植被类型-生产力异质植被斑块的线性回归模型,其判定系数由全国模型下的0.867提高到0.937,拟合优势度较高,所获得的中国公里格网草地合理载畜量分布图空间化精度也较高。中国公里格网草地合理载畜量分布图不仅表明了不同类草地因生产力的不同有不同的放牧要求,也体现了不同环境条件下草地载畜能力的差别,有效反映了单位面积内草地植被载畜-生产力水平,为生态治理和草地资源保育工作中合理制定草地利用强度提供了理论参考。     

基于无人机偏振遥感的水稻冠层氮素含量反演模型

受水稻冠层几何结构的影响,传统的无人机高光谱获取到的反射光谱信息中包含与水稻内部组成物质无关的镜面反射信息,从而影响水稻氮素含量的反演精度,因此在利用无人机获取水稻冠层反射光谱信息时,有必要考虑通过偏振测量技术去除反射光谱中的镜面反射分量,进而实现提升水稻氮素含量反演精度的目的。基于无人机偏振遥感测量得到的水稻分蘖期多角度偏振光谱数据和与之对应的氮素含量数据,采用植被指数方法分析二者之间的相关性,得到了水稻冠层偏振光谱数据与其对应氮素含量相关性最高时对应的角度,选取该观测角度下的偏振光谱数据,利用连续投影法(Successive projections algorithm, SPA)提取特征波段,在此基础上,基于数学变换的方法,提出了构建植被指数的新思路,构建了由2个波段组成的偏振光谱植被指数(Polarisation spectrum vegetation index, PSVI),并利用线性回归方法建立水稻冠层氮素含量的反演模型。结果表明,通过对不同观测天顶角下水稻冠层偏振光谱数据与氮素含量相关性分析,得到最佳观测角度为-15°(后向观测15°);利用连续投影法提取得到该角度下偏振...     

助力知识产权强国建设的重点关切

[目的/意义]从构建知识产权信息化平台,完善高校复合型知识产权专业人才培养措施,健全海外知识产权保护政策,提升知识产权全链条治理能力,注重知识产权高质量创造,联动知识产权公共服务与市场服务等方面着手,助力知识产权强国建设。[方法/过程]围绕知识产权信息化、人才培养、法律保障、数据赋能、战略和服务等重点关切,访谈领域内专家,共同为知识产权强国建设路径出谋划策。[结果/结论]知识产权强国建设需要多方出力,尤其需要着力构建知识产权一站式服务平台,提高知识产权服务能力;以社会需求为导向,培养复合型知识产权专业人才;关注海外知识产权贸易与纠纷,提高企业知识产权布局与风险应对能力;以数据赋能知识产权高质量发展为导向,提升知识产权治理能力;在国家政策方面落实知识产权高质量发展战略,引领创新主体以发展战略思维来谋划知识产权能力的提升;大力推动各级各类知识产权公共服务机构的建立,提高知识产权服务的覆盖性。