马奶子葡萄叶面积评估模型的建立

【目的】研究新疆南疆地区马奶子葡萄叶长、叶宽、叶长×叶宽及叶面积之间的关系,为田间快速估测葡萄叶面积提供方法。【方法】以南疆地区马奶子葡萄品种的叶片作为研究对象,测定叶片的叶长、叶宽、叶长×叶宽及叶面积值,分析不同指标和马奶子葡萄叶面积之间的关系。【结果】建立的叶面积估测的二元回归方程,是估测马奶子葡萄叶面积最佳的回归方程,估测的平均差异率仅为2.103%;建立的二元回归方程y₁=12.990x₁+2.501x₂-66.109为最优方程。【结论】马奶子葡萄叶片的叶长、叶宽、叶长×叶宽与叶面积均存在极显著相关,运用回归法估测马奶子葡萄叶面积,既不破坏树体,又具有简便易测、可靠性强、准确性高的优点。     

The effect of random and density‐dependent variation in sampling efficiency on variance of abundance estimates from fishery surveys

Abundance indices (AIs) provide information on population abundance and trends over time, while AI variance (AIV) provides information on reliability or quality of the AI. AIV is an important output from surveys and is commonly used in formal assessments of survey quality, in survey comparison studies, and in stock assessments. However, uncertainty in AIV estimates is poorly understood and studies on the precision and bias in survey AIV estimates are lacking. Typically, AIV estimates are “design based” and are derived from sampling theory under some aspect of randomized samples. Inference on population density in these cases can be confounded by unaccounted process errors such as those due to variable sampling efficiency (q). Here, we simulated fish distribution and surveys to assess the effect of q and variance in q on design‐based estimates of AIV. Simulation results show that the bias and precision of AIV depend on the mean q and variance in q. We conclude that to fully evaluate the reliability of AI, both observation error and variability in q must be accounted for when estimating AIV. A decrease in mean q and an increase in the variance in q results in increased bias and decreased precision in survey AIV estimates. These effects are likely small in surveys with mean q ≥ 1. However, for surveys where q ≤ 0.5, these effects can be large. Regardless of the survey type, AIV estimates can be improved with knowledge of q and variance in q.     

几种特殊情况下索书号的给定

阐述了图书出版的几种特殊情况，并结合沈阳化工大学图书馆工作实践，对索书号的给出进行了探讨，以方便读者检索利用。     

运用数量化方法估测普洱县森林蓄积量

根据普洱县森林遥感调查资料 ,利用卫星影像特征判读数据与地面实测数据建立数学类型 ,估测森林蓄积量。首先将 2 0 0块有、疏林地数据输入数据本中 ,然后分析其与优势树种、龄组、郁闭度、海拔、坡向、坡度的关系 ,结果把样地分为针叶林、阔叶林、针阔混交林三个类型分别建立数学模型 ,以估测每公顷蓄积量。数学模型的建立是根据数量化模型的原理来编程 ,并通过计算机的不断调试 ,直到可行为止。蓄积量比较精度达到 90 3%。     

杉木人工林不同发育阶段土壤微生物数量及其生物量的变化

土壤微生物参与土壤中多种生物化学反应,如矿化-同化、氧化-还原等,是植物营养转化、有机碳代谢及污染物降解的驱动力,在土壤肥力演变,尤其是养分循环中具有重要意义。土壤微生物生物量是指除了植物根系和体积大于5×103μm3的土壤动物以外的土壤中所有活的有机体的量(Paulet a     

桤木采穗圃无性系管理技术研究

研究表明:桤木无性系植株嫩枝总芽数主要取决于树龄和无性系遗传特性,同时与无性系植株定干高度、修枝、施肥等密切相关。在桤木无性系采穗圃中,无性系植株定干高度以90 cm为宜,无性系植株枝条宜进行轻短截,并加强施肥管理,既可提高嫩枝总芽数,又能扩大树冠,增强树势,提高采穗圃穗条的产量和质量。     

长白赤松和红松土壤微生物活性对高浓度CO2的响应

Responses of soil microbial activities to elevated CO₂ in experiment sites ofPinus sylvestriformis andPinus koraiensis seedlings were studied in summer in 2003. The results indicated the number of bacteria decreased significantly (p<0.05) under elevated CO₂ forPinus sylvestriformis andPinus koraiensis. Amylase and invertase activities in soil increased forPinus sylvestriformis and decreased forPinus koraiensis with CO₂ enrichment compared with those at ambient (350 μmol·mol⁻¹). The size of microbial biomass C also decreased significantly at 700 μmol·mol⁻¹ CO₂. Bacterial community structure had some evident changes under elevated CO₂ by DGGE (Denaturing Gradient Gel Electrophoresis) analysis of bacterial 16S rDNA gene fragments amplified by PCR from DNA extracted directly from soil. The results suggested that responses of soil microorganisms to elevated CO₂ would be related to plant species exposed to elevated CO₂. Foundation item: The study was supported by Major State Basic Research Development Program of China (2002CB412502) and the Knowledge Innovation Project from Chinese Academy of Sciences (KZCX1-SW-01-03). Biography: JIA Xia (1975), female, Ph. D. candidate of Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, P. R. China. Responsible editor: Song Funan     

岷江干旱河谷几种乔木抗旱性研究

岷江上游干旱河谷地区是我国西部生态环境最恶劣的地区之一,也是我国最困难的造林地区之一。本试验以生理研究为基础,选择干旱河谷区造林地内具有相对较高成活率和保存率的针叶树种岷江柏(Cupressus chen-giana)、辐射松(Pinus radiata)和阔叶树种臭椿(Ailanthus altissima)、榆树(Ulmus pumilaL.)、刺槐(Robinia pseu-doacacia),分别采用主成分分析法和综合评价法对影响其抗旱性的主要生理指标和试验树种的抗旱性进行了分析研究。结果表明:①影响该地区试验树种抗旱性的主要生理指标为:可溶性糖含量、SOD活性、游离脯氨酸含量、水分饱和亏缺度、叶片含水量和24h失水率;②5个试验树种的抗旱性表现为岷江柏最高,其次榆树>刺槐>臭椿,辐射松的抗旱性最差。     

用岭估计研究以RS和GIS为基础的森林郁闭度估测

本文根据最小二乘估计（LS）及岭估计（R）原理，利用平均残差平方和准则，从样地对应的RS和GIS信息中，用计算机仿真方法筛选出影响郁闭度估测的主要信息。在分析LS估计存在缺陷的基础上，提出采用岭估计建立郁闭度估测方程。实例分析表明，当在影响郁闭度估测的变量间存在复共线性时，岭估计比LS估计具有较高的预报精度，可以满足生产的需要。     

黑龙江省水田耕整地机组技术经济分析

水田耕整地是水稻生产的重要环节,如何选择合适的机组进行耕整地作业则是保证作业质量、提高生产率、减少生产成本、增加农民收入的关键。为此,以黑龙江省绥棱县为例,运用技术经济分析的方法,对水田耕整地机组进行了评价分析,确定出合适的机组配备方案,为绥棱县水田耕整地机组的合理配备提出了可靠的依据,同时也为黑龙江省水稻机械化生产发展提供了参考。