植物群落的内禀冗余

植物落处于各种扰动之中，扰动导致群落的总体功能降低，为适应各种形式的扰动，群落的功能补偿作用就发生了，并由此产生了生长冗余，组分冗余及内颤冗余，内禀冗余是植物群落中组分冗余的一种特殊形式，是对波动的环境及人为或动物扰动适应的结果，是落功能最大化的产物，内禀冗余的作用是使群落多样性，物种多样性得以保持，使群落对各种扰动的抵抗能力增强，在一定条件下，内禀冗余阻碍了群落中当前有益物种产量最大限度地实现，但从生态学观点看，它对植物群落中目标物种的持续较高水平的输出具有重要作用，因此，保留以内禀冗余形式存在的非目标植物种对群落的稳定是有益的。     

RAPD技术对地方鸡种群体遗传结构的分析

利用ＲＡＰＤ技术对４个地方鸡种和１个引进鸡种的群体遗传结构进行分析，通过筛选的５个随机引物ＯＰＨ－０２、ＯＰＨ－０５、ＯＰＨ－１３、ＯＰＨ－１６、ＯＰＧ－０７对５个鸡种的池ＤＮＡ进行多态性研究，结果表明：５个引物共产生条带６１个，扩增产物片段的长度一般从１５０ｂｐ－４ｋｂ。     

松嫩平原羊草草地水淹干扰恢复过程的群落动态

根据随机取样的测定数据，经过幂函数和多元回归分析及相关检验，揭示了草地水淹干扰对羊草 寸草苔、羊草 杂类草群范数量性状的变化规律。水淹干扰对草地植被的物种组成及其比例有明显的影响。水淹后基本恢复到正常草地的种类数量和生产量配置大约需要6—7年。随着生境水分减少和土壤变干，羊草种群的数量和生物量均以幂函数形式增加，而寸草苔和杂类草的数量和生物量则呈先增后降的变化过程。     

Electrocorticogram disturbances detected in rats exposed from early stages of life to residual doses of lindane

Functional brain alterations induced by lindane were examined in Rat chronically exposed to low doses of lindane (1 and 2 μg L⁻¹ in drinking water) from conception. Histological and electrophysiological investigations were conducted at 14 weeks of age. Lindane did not induce histological changes. It did not significantly modify the sleep-wakefulness cycle and EEG did not show major alterations. The spectral EEG analysis, by recording cortical variations in both energy spectrum and energy levels of different frequency bands, showed an increase in the 11-15 Hz activity in both groups exposed to lindane. This activity was characterised by spindles well-depicted during slow wave sleep or associated with fast activity during wakefulness and theta activity in paradoxical sleep. These data suggest that chronic exposure to lindane doses as low as 1 μg L⁻¹ in drinking water could lead to central electrophysiological effects possibly involving GABA-benzodiazepine mechanisms.     

额尔齐斯河流域生态系统格局及变化

本文首先对额尔齐斯河流域气候，地貌，水文等环境因子特征进行了评述，进而阐述了流域生态系统的特征和格局以及在自然和人为干扰作用下的变化。分析结果表明在自然干扰作用下流域生态系统的格局与流域水文情势变化相适应，处于准稳定变化状态，而在人为对流域水文情势扰动下，流域生态系统的格局间接地受到影响。从而产生新的格局，其作用的强度，持久性和生态系统的格局变化程度过错大于大于自然干扰作用下的变化。引额调水工程对额尔齐斯河流域河谷生态系统内部单元格局变化具有重要影响。     

Characterizing historical and modern fire regimes in Michigan (USA): A landscape ecosystem approach

We studied the relationships of landscape ecosystems to historical and contemporary fire regimes across 4.3 million hectares in northern lower Michigan (USA). Changes in fire regimes were documented by comparing historical fire rotations in different landscape ecosystems to those occurring between 1985 and 2000. Previously published data and a synthesis of the literature were used to identify six forest-replacement fire regime categories with fire rotations ranging from very short (<100 years) to very long (>1,000 years). We derived spatially-explicit estimates of the susceptibility of landscape ecosystems to fire disturbance using Landtype Association maps as initial units of investigation. Each Landtype Association polygon was assigned to a fire regime category based on associations of ecological factors known to influence fire regimes. Spatial statistics were used to interpolate fire points recorded by the General Land Office. Historical fire rotations were determined by calculating the area burned for each category of fire regime and dividing this area by fifteen (years) to estimate area burned per annum. Modern fire rotations were estimated using data on fire location and size obtained from federal and state agencies. Landtype Associations networked into fire regime categories exhibited differences in both historical and modern fire rotations. Historical rotations varied by 23-fold across all fire rotation categories, and modern forest fire rotations by 13-fold. Modern fire rotations were an order of magnitude longer than historical rotations. The magnitude of these changes has important implications for forest health and understanding of ecological processes in most of the fire rotation categories that we identified.This revised version was published online in May 2005 with corrections to the Cover Date.     

基于随机森林的高寒草地地上生物量高光谱估算

草地地上生物量（Aboveground biomass,AGB）是衡量草地生产力的关键因素,准确测定草地AGB具有重要意义。高光谱因具有时效性强、不破坏草地等特点被广泛用于草地生理生态指标的测定。本研究提取和计算了海北试验站高寒草地冠层的原始光谱（Original spectrum,OR）反射率、一阶微分光谱（First derivative spectrum,FD）反射率、光谱位置面积参数（Spectral parameters of spectral position and area,PA）和植被指数（Vegetation indices,VI）4种不同类型的特征变量,使用连续投影算法（Successive projections algorithm,SPA）和递归特征消除算法（Recursive feature elimination,RFE）进行特征选择,采用随机森林算法（Random forest,RF）构建草地AGB估测模型。结果表明：在由4种特征变量分别构建的草地AGB估测模型中,基于VI的RF模型精度最高（测试集R²=0.70,RMSE=557.87 kg·ha^-1）,实测AGB与估测AGB的线性R²达到0.72;不同类型特征变量组合构建的草地AGB估测模型中,PA+VI组合的RF模型精度最高（R²=0.71,RMSE=548.97 kg·ha^-1）,实测AGB和估测AGB的线性R²达到0.73。     

山区河流生态河道治理工程扰动区植被群落恢复的影响研究

工程扰动严重破坏原有地形地貌和生态植被,加剧生态环境的恶化与生态系统的退化,为减少水土流失和浅层滑坡,加速植被恢复和生态修复,对工程扰动区植被群落恢复进行研究是比较有意义的课题.研究选择生态治理后处于自然恢复期的石葵河作为研究对象,对工程扰动区不同水位的植被恢复进行季节性监测和实地调查,统计河道边坡植被恢复种类及数量、...     

基于多变量与RF算法的耕地土壤有机碳空间预测研究 ——以福建亚热带复杂地貌区为例

耕地土壤有机碳(Soil Organic Carbon,SOC)含量不仅是土壤质量的重要表征,还是农业温室气体的重要源库,而基于环境变量建立的随机森林算法(Random Forest,RF)是当前提高土壤有机碳空间预测精度的方法,但不同组合环境变量对RF模型预测精度的影响仍需深入研究.本文以福建闽东南复杂地貌区为例,以...     

随机变量多重Weibull统计模型及参数最优估计

利用Weibull分布函数兼容性好的特点,采用混合Weibull分布模型来描述复杂随机变量分布,并按照最小二乘法原则,对统计模型参数进行最优化估计,建立复杂随机变量分布的统计模型。对某汽车发动机工作转矩统计模型的建立示例表明,多重Weibull分布适合用来表达一些复杂随机变量的统计特性,参数估计的最优化模型适用,参数优化估计过程能可靠收敛。