基于本科生科研能力培养的普通昆虫学课程教学改革探讨

本文从本科生科研能力培养的角度探讨了普通昆虫学理论课、实验课、实习课及考核方式的教学改革,以期促进创新型植物保护人才的培育。     

营业税改征增值税的税率评估——基于可计算一般均衡模型的研究

营业税改征增值税是完善我国税制的一个重要举措，确定各个产业部门改征增值税后的税率是其中一个关键的环节。运用可计算一般均衡模型可以评估营业税改征增值税之后不同税率的选择对宏观经济和产业结构的影响。政策模拟的结果显示，目前正在实施的营业税改征增值税的试点方案权衡了对财政收入和经济增长以及经济结构的影响，是对经济运行影响较小的稳健选择。     

The Economic Significance of Hunting Tourism in East Lapland,Finland

Uses of game resources are under constant debate. One such debate focuses on hunting tourism and its contributions to rural economics. To prioritize future investment and inform policy decisions, it is necessary to identify the full economic consequences of the operation of hunting tourism companies in rural areas. However, the true economic significance of these typically small-scale companies is not apparent when examined on an industrial scale. These companies may nevertheless serve as a sustainable solution to local-scale rural challenges. In this article, the regional economic significance of hunting tourism is estimated for the East Lapland sub-region of northern Finland through the use of Computable General Equilibrium simulation models. Although these models are known to effectively evaluate short- and long-term regional economic effects of industries such as tourism, they have not previously been applied to evaluate hunting tourism.     

玉米人工合成群体产量相关性状选择潜势及杂种优势模式分析

采用NCⅡ遗传交配设计 ,以分属于不同杂种优势群的 6个自交系做测验种 ,与 6个合成群体组配成 36个组合。结果表明 :单株产量的GCA以LBM最高 ,其次为WBM ,从株型、穗型性状的SCA分析合成群体与自交系组成了 9个优良杂种优势模式。单株产量最高的组合为HZ85×WBM ,其均值为 10 8 75g。通过对优良杂优模式内的变异参数估计 ,在群体内有丰富的变异个体 ,具有很强的选择潜势。组合内个体产量分布以及出现的频率对选系和轮回选择具有明确的指导意义。人工合成群体具有丰富的遗传变异 ,分属于不同的杂种优势类群 ,具有多元种质的特性。作为选系和轮回选择群体 ,具有明显的选择潜势     

应用GCMs和历史气候资料生成我国在CO2倍增时的气候情景

采用3种大气环流模型(GCMs)的输出结果,并结合我国各地有代表性气象台站20-30年的逐日气象资料,在微机上生成了我国在CO_2倍增时的3种气候情景.进而分析了我国未来温度、降水和太阳辐射3要素可能的时空分布特征和季节变化趋势,并推测我国易受全球气候变化不利影响的脆弱地区.     

四川洪雅丘陵草地植物群落经济性状与综合特征研究

论述了洪雅丘陵疏林草丛草地与农隙草丛草地两种草地类型中6个群落的植物性生产能力及相关的多项生态经济性状、种群优势度（SDR）、重要值（Ⅳ）；比较了两种草地类型各群落间SDR、Ⅳ及植物产量、经济类群组成、各项指标的差异性、共同性。说明自然因素（特别是气候）及人为因素（放牧、刈割、烧草）对草地植被组成及产量的影响。     

Predicting the age of fish using general and generalized linear models of biometric data: A case study of two estuarine finfish from New South Wales, Australia

Direct ageing of fish can be a laborious and expensive task when age estimates from a large population are required, and often involves a degree of subjectivity. This study examined the application of general and generalized linear models that predict the age of fish from a range of efficiently and objectively measured covariates. The data sampled were from yellowfin bream (Acanthopagrus australis (Sparidae) (Owen, 1853)) and sand whiting (Sillago ciliata (Sillaginidae) Cuvier, 1829) populations from New South Wales, Australia. The covariates evaluated in the models were fish length, otolith weight, sex and location (the estuary from which the fish were sampled). Akaike Information Criteria were used for model selection and residual plots of the final models revealed a satisfactory fit to the observations. The best fitting model for each species included all covariates. An additional investigation considered whether general and generalized linear models that predict age from two different categories of biometric information outperform age-length keys with respect to subsequent estimates of total mortality from catch-curve analysis. The two categories of biometric information differed in the ease and cost with which the information could be collected. The first category only included fish length and location as covariates, whilst the second category also included otolith weight and sex. It was found that traditional age-length keys outperformed the predictive models that estimated age from only fish length and location, because the results from the models were prone to significant bias. However, when otolith weight and sex were added as covariates to the predictive models, some of them, including a generalized linear model with a Poisson-distributed response variable, performed similarly to the age-length key. Given that otolith weight and the sex of fish are cheaper to quantify than age from a sectioned otolith in many situations, general or generalized linear models may represent a cheaper and faster method of estimating mortality compared to age-length keys. Such models can also easily incorporate the influence of spatial, temporal and demographic variation.     

毕节地区林业有害生物普查

对全区林业有害生物进行普查,初步查出林业有害生物共七大类147种,病害53种,虫害83种,鼠(兔)害8种,寄生性种子植物3种,蜱螨3种,软体动物2种,有害植物1种.发现林业外来有害生物松材线虫病1种,有害植物紫茎泽兰1种,本土有害生物145种.     

Catch per unit effort standardization of the eastern Bering Sea walleye pollock (Theragra chalcogramma) fleet

A general linear model (GLM) was used to standardize catch per unit effort (CPUE) data for Alaska walleye pollock (Theragra chalcogramma) from the Bering Sea fleet for the years 1995–1999. Data were stratified temporally by year and season and spatially by area using either Alaska Department of Fish and Game (ADF&G) or National Marine Fisheries Service (NMFS) reporting areas. Four factors were used: vessel identification (ID) number, vessel speed, percentage of pollock by weight in the haul (a measure of targeting), and whether most of the haul took place before or after sunset. At least 29 combinations of main effects, quadratic covariates, and interactions were tested for each year/area/season stratum. GLM models explained from 31 to 48% of the total sums of squares. Vessel identification number was included in all models and explained the most variability. Of the remaining factors, the square of the percentage of pollock in the haul was included in most models, following an F-test to determine parsimony. Analysis of the vessel identification number coefficients indicated that larger vessels tended to have higher CPUEs; and that this relationship differed between dedicated catcher vessels and offshore catcher processors. Coefficient estimates and response surfaces generally indicated increased CPUEs with the percentage of pollock in the haul and showed mixed results with vessel speed. The vessel identification number incorporated most vessel characteristics, leaving vessel speed primarily as a fitting variable with less biological meaning. The year/area/season stratification procedure was found to be necessary due to the unbalanced design, which otherwise would have factor levels with no data in a large combined model. In addition, the stratification procedure reduced the variability in CPUE substantially.     

浅析我国种子产业发展概况

该文将从种子产业的规模、行业集中度、科研现状、产品结构和经营模式、推广和流通服务等方面对我国种子产业发展概况进行分析,旨在为种子产业发展提供借鉴。