中亚热带丝栗栲次生林群落高度级结构分析

以高度级为参考坐标，应用衡量优势种群及群落结构动态的失稳率、群落垂直空间的分享度、α—多样性及群落高度级梯度β—多样性等指标对中亚热带丝栗栲次生林群落高度级结构特征及其动态进行分析评价。结果表明：丝栗栲群落及其优势种群个体数、群落物种数和种对级的分享度随高度级增加都呈下降趋势；各高度级物种数和个体数呈明显的正相关关系；级间失稳率显示，群落在第2、3、6、7高度级呈增长趋势，第4、5高度级呈衰退趋势，群落整体具有增长性结构；群落随高度级形成丰富度指数(dMa)、Shannon—Wiener指数(H)逐渐降低，均匀度指数(J)先增后减的变化趋势；随高度级梯度的增加，群落相邻高度级间Whittaker指数(βw)呈上升趋势，而Mofisita—Horn指数(CMH)呈不规则地跳跃式变化，表现了共有种在群落不同高度级的数量差异。图3表2参15。     

封育次生马尾松(Pinus massoniana)林优势种群竞争密度效应

以退化红壤区封山育林植被恢复过程中优势种群马尾松为研究对象,研究不同恢复阶段马尾松种群竞争密度效应,并提出一个适用性更强的竞争密度效应模型.研究表明,退化红壤区植被恢复过程中优势种群马尾松竞争密度效应明显,优势种群平均胸径(D)、平均胸高断面积(S)、平均单株材积(V)、林分蓄积量 (M)与种群密度 (ρ)的竞争密度关系密切,达到极显著水平(α<0. 01);新竞争密度效应模型较前人模型描述C-D效应效果更理想,可在森林竞争密度效应研究中应用. 表 4参 19     

马尾松纯林及其与阔叶树混交林的凋落量与养分通量

在25a生马尾松林下分别套种1a生火力楠、闽粤栲、苦槠、格氏栲、青栲和拉氏栲等阔叶树种的幼苗,16a后形成郁闭的针阔混交异龄林.通过定位监测和化学分析,对上述6种混交林类型及林下未套种阔叶树的马尾松纯林的森林凋落量及养分通量进行了研究.统计结果显示,6个混交群落的年凋落量分别为7137.3kghm-2、6741.1kghm-2、8041.7kghm-2、7151.3kghm-2、7533.2kghm-2和6149.1kghm-2,而马尾松纯林的年凋落量仅3442.8kghm-2.在所有林分的凋落物组成中,枯叶占绝对优势,占凋落物总量的49.7%~71.5%,其余依次为枯枝(5.7%~26.1%)、其它组分(5.5%~17.1%)、树皮(7.7%~18.9%)和果实(0.7%~2.0%).各混交林分中来自马尾松的凋落物占50.4%~58.0%,而来自阔叶树的凋落物占42.0%~49.6%,且两者的组成存在明显差异.各林分总凋落量的季节动态呈双峰型,第1次峰值出现在2~4月份,第2次峰值出现在8、9月份.凋落物中主要养分元素的含量依林分类型、凋落物组分和凋落时间不同而异,N、P、K、Ca和Mg的含量范围依次为3.25~12.98gkg-1、0.23~0.97gkg-1、0.42~4.02gkg-1、7.34~32.57gkg-1和1.34~5.58gkg-1.不同的林分类型,凋落物中各养分元素的年通量大小均为:Ca>N>Mg>K>P.马尾松纯林中,通过凋落物的5种养分元素的年流通量为142.01kghm-2;而在林下分别套种上述6种阔叶树后,其养分年流通量依次增加到204.95kghm-2、223.93kghm-2、304.12kghm-2、288.46kghm-2、213.77kghm-2、238.05kghm-2.图3表4参13     

中国珍稀格氏栲林的数量特征

运用伽玛分布，对数正态分布、韦布（Weibull)分布，正态分布等4种概率分布模型对格氏栲林的乔木层、灌木层、藤本层，草本层的物种-多度关系进行拟合分析，并用多种物种多样性指标测定格氏栲林各层次数量特征。结果表明：格氏栲林群落各层次物种-多度关系均符合伽玛分布，即伽玛分布模型应用于格氏栲林物种-多度分布研究是理想的；格氏栲林物种多样性指标介于中亚热带常绿阔叶林与南亚热带季风常绿阔叶林之间，表5参20。     

东北过伐林灌木层物种多样性与林分因子的典型相关分析

研究林分特征尤其是经营上可以控制的因子对生物多样性的影响，将有助于制定合理的经营措施来维持和保护生物多样性，本文作者以我国东北过伐林区3种典型天然林类型为对象，采用典型相关分析方法，研究影响灌木层物种多样性的主要因子。结果表明：影响灌木层物种多样性的主要因子包括土壤含水率，树种多样性和林分密度；灌木层多样性组的变异被林分组第一典型变量解释的比例为68.32%,仍有31.68%的变异不能得到解释。     

A Bayesian network approach to modelling land-use decisions under environmental policy incentives in the Brazilian Amazon

ABSTRACT

Deforestation driven by agricultural expansion is a major threat to the biodiversity of the Amazon Basin. Modelling how deforestation responds to environmental policy implementation has thus become a policy relevant scientific undertaking. However, empirical parameterization of land-use/cover change (LUCC) models is challenging due to the high complexity and uncertainty of land-use decisions. Bayesian Network (BN) modelling provides an effective framework to integrate various data sources including expert knowledge. In this study, we integrate remote sensing products with data from farm-household surveys and a decision game to model LUCC at the BR-163, in Brazil. Our ‘business as usual’ scenario indicates cumulative forest cover loss in the study region of 8,000 km² between 2014 and 2030, whereas ‘intensified law-enforcement’ would reduce cumulative deforestation to 1,600 km² over the same time interval. Our findings underline the importance of conservation law enforcement in modulating the impact of agricultural market incentives on land cover change.     

森林土地利用变化及其对碳循环的影响

由于人口剧增，人类活动的影响不断加大，在过去100年全球土地利用／土地覆被发生了巨大的变化。最常见的土地利用变化是由森林转变为农业用地。森林砍伐使森林生态系统地上部生物量大大减少，砍伐后作农业用地，降低了植被生产力，减少了土壤有机质的输入，增强了腐殖质的矿化作用，有机质分解速率增加，有机碳贮量随之降低，从而影响到森林生态系统的碳循环，使大量碳元素释放到大气中，引起温室效应，导致全球变暖。另一个常见的土地利用变化是植树造林和森林恢复，这一过程可以增加森林生态系统的碳储量，从而减缓大气CO2体积分数的上升。     

"3S"在森林病虫害预警中的应用与展望

对“3S”技术在森林病虫害预警中的应用现状、作用进行了分析．运用3S技术,结合森林病虫害发生的特点,对可能引发的各种森林病虫害可以进行预警,指出了实现森林病虫害预警应解决的问题及应用前景。     

Recovery of Faunal Communities During Tropical Forest Regeneration

Abstract:  As mature tropical forests are cleared, secondary forests may play an important role in the conservation of animal species, depending on how fast animal communities recover during forest regeneration. I reviewed published studies on the recovery of animal species richness and composition during tropical forest regeneration. In 38 of the 39 data sets I examined, conversion of forest to agriculture or pasture substantially reduced species richness. Given suitable conditions for forest recovery, the species richness of the animal taxa considered can be predicted to resemble that of mature forests roughly 20–40 years after land abandonment. At least for ants and birds, however, recovery of species composition appears to take substantially longer than recovery of species richness. Because species richness for many taxa appears to recover relatively rapidly in secondary forests, conservation of secondary forests may be an effective investment in future diversity. The slower recovery of species composition indicates, however, that some species will require stands of mature forest to persist.