利用RAPD标记评价桃种间杂交一代群体的分离方式

以毛桃2-7(Prunus persica)、山桃白山碧桃(Prunus davidiana)以及两者的F_1代为试材,对RAPD标记的分离方式进行分析。结果表明,RAPD标记在F_1代呈3种分离方式:孟德尔分离、偏离孟德尔分离规律、异常分离。3种分离位点出现的频率和数量分别为:80%、240,14%、42,6%、18。呈孟德尔分离的情况有:不分离、1:1分离和3:1分离,其中不分离的频率为64％。并对偏离孟德尔分离比例和异常分离的RAPD标记进行分析。其研究结果可为该群体是否适合构建遗传连锁图谱进行评价及进一步利用该群体奠定良好基础。     

鸡腿蘑菌丝体的同工酶研究

用8种不同培养基配方，培养鸡腿蘑菌丝体，其同工酶分析结果表明，鸡腿蘑菌丝体酯酶(EST)同工酶谱差异明显，过氧化物酶(POD)同工酶谱差异明显。     

晋西昕水河流域生态经济型防护林体系景观格局动态分析

本文以晋西昕水河流域为典型实例，概述了流域生态经济型防护林体系建设背景。依据流域内各类型区在不同时段的土地利用结构和生态经济特征，进行流域生态经济型防护林体系景观格局变化分析，表明了流域内景观多样性和异质性不断增加的发展趋势，以及确定各区主要发展方向，实行综合开发与治理的必要性，并提出了相应的流域生态经济型防护林体系动态调控途径。     

按不同氨基酸模式配制肉鸭日粮的比较研究

试验比较了不同氨基酸模式对肉鸭生产性能的影响。将320只1日龄的樱桃谷鸭随机分为4组,每组80只,设4个重复,每个重复20只,公母各半,分别饲喂四种日粮(按四种氨基酸模式配制),试验期21天。结果表明:日粮的氨基酸模式为Lys∶Met∶Trp∶Thr=100∶45∶21∶62时,其2周和3周体重高于其它各组,但差异不显著(P>0.05),且F/G和血清尿酸水平最低。     

基于GIS的祁连山森林景观格局分析

在地理信息系统软件ArcGIS环境下 ,将祁连山区DEM图和坡向图分别同植被图叠加 ,分析研究区各景观组分在空间的分布特征 ;用定量分析景观结构和景观格局程序Fragstats计算景观和各景观组分的相关指数 ,分析其连通性、完整性、破碎化程度及聚集程度。结果表明 :研究区各景观组分分布受海拔高度和坡向的影响非常明显。各景观组分的完整性、连通性和破碎化程度也很不均衡。草地是研究区面积最大、连通性和完整性最好的景观组分 ;青海云杉林呈斑块状或带状分布在阴坡和半阴坡 ,形状最为不规则 ,平均斑块面积小且距离近 ,易受干扰而发生重大变化 ;宜林地和祁连圆柏林相对于农田、疏林地有较强的扩张特征 ;而杨类阔叶林各斑块间相隔距离大 ,斑块之间的邻接性差 ,破碎化程度最为严重。     

Quantifying patch distribution at multiple spatial scales: Applications to wildlife-habitat models

Multiscale analyses are widely employed for wildlife-habitat studies. In most cases, however, each scale is considered discrete and little emphasis is placed on incorporating or measuring the responses of wildlife to resources across multiple scales. We modeled the responses of three Arctic wildlife species to vegetative resources distributed at two spatial scales: patches and collections of patches aggregated across a regional area. We defined a patch as a single or homogeneous collection of pixels representing 1 of 10 unique vegetation types. We employed a spatial pattern technique, three-term local quadrat variance, to quantify the distribution of patches at a larger regional scale. We used the distance at which the variance for each of 10 vegetation types peaked to define a moving window for calculating the density of patches. When measures of vegetation patch and density were applied to resource selection functions, the most parsimonious models for wolves and grizzly bears included covariates recorded at both scales. Seasonal resource selection by caribou was best described using a model consisting of only regional scale covariates. Our results suggest that for some species and environments simple patch-scale models may not capture the full range of spatial variation in resources to which wildlife may respond. For mobile animals that range across heterogeneous areas we recommend selection models that integrate resources occurring at a number of spatial scales. Patch density is a simple technique for representing such higher-order spatial patterns.     

Ecotonal changes and altered tree spatial patterns in lower mixed-conifer forests, Grand Canyon National Park, Arizona, U.S.A.

This research analyzes patch development and determines tree spatial patterns along the lower mixed-conifer ecotone on the North Rim of Grand Canyon National Park in Arizona (U.S.A.). Patterns of patch development were interpreted from spatial analyses, based on tree age and size, and past records of disturbance and climate. Five plots in the ecotone between mixed conifer forests and monospecific stands of ponderosa pine (Pinus ponderosa) were studied for patterns of patch development. The methods used include: (1) size-structure analyses, to compare species patch development; (2) dendrochronological dating of tree establishment; (3) tree ring master chronology, to determine periods of suppressed growth, compared to a Palmer Drought Severity Index; and (4) spatial analyses by species composition, size and age, with univariate and bivariate analyses of spatial association and spatial autocorrelation. We found an increased density of shade-tolerant and fire-intolerant species namely clusters of pole-sized white fir, and fewer large ponderosa pine. This revised version was published online in May 2005 with corrections to the Cover Date. This revised version was published online in July 2006 with corrections to the Cover Date.     

当归茎线虫病田间分布型及抽样技术研究

为提高当归茎线虫病(Ditylenchus destructor)田间抽样的准确度,用7种聚集指标判断了当归茎线虫病的田间分布型.结果表明,当归茎线虫病在田间呈聚集分布,其中奈曼分布(核心分布)的适合率为100%,嵌纹分布(负二项分布)的适合率为77.8%.理论抽样数量约820株.4种抽样方法差异均不显著,在保证抽样数量合理的情况下,4种方法均可采用.     

Modelling land cover transitions: A solution to the problem of spatial dependence in data

Raster-based spatial land cover transition models (LCTMs) are widely used in landscape ecology. However, many LCTMs do not account for spatial dependence of the input data, which may artificially fragment the output spatial configuration. We demonstrate the consequences of ignoring spatial dependence, thus assigning probabilities randomly in space, using a simple LCTM. We ran the model from four different initial conditions with distinct spatial configurations and results indicated that, after 20 simulation steps, all of them converged towards the spatial configuration of the random data set. From an ecological perspective this is a serious problem because ecological data often exhibit distinct spatial configuration related to ecological processes. As a solution, we propose an approach (region approach) that accounts for spatial dependence of LCTM input data. Underlying spatial dependence was used to apply spatial bias to probability assignment within the model. As a case study we applied a region approach to a Vegetation Transition Model (VTM); a semi-Markovian model that simulates forest succession. The VTM was applied to approximately 500,000 ha of boreal forest in Ontario, at 1 ha pixel resolution. When the stochastic transition algorithms were applied without accounting for spatial dependence, spatial configuration of the output data became progressively more fragmented. When the VTM was applied using the region approach to account for spatial dependence output fragmentation was reduced. Accounting for spatial dependence in transition models will create more reliable output for analyzing spatial patterns and relating those patterns to ecological processes.This revised version was published online in May 2005 with corrections to the Cover Date.     

植物化感作用影响因素的再认识

土壤养分、酶、微生物、本底特性,根茬还田、水分、植物根系、种植体系和种植模式与化感作用的互作关系,表明这些因子可通过对土壤养分有效性、微生物种群结构、土壤酶活性和化感物质浓度的影响而对化感作用产生直接或间接影响,这些可为通过化感作用途径构建高效农田生态系统提供新的思路.