The Organization and Management System of Closing Hillside for Forest as a Regeneration Project (CHFRP)

By investigation, the thesis analyses and summarizes the forming and developing of CHFRP In Xupu county. We select the Mayandong stock cooperation forest farm as object, adopt the methods such as semi-structure interview, analysing second data and surveying sample plots, analyse and study the process to clarify the property right, the profits allocated forms and the management forms. The results show that CHFRP can tentatively resolve the contradiction between the forestland using right scattered to every household and proper scale management demanded by forestry production. CHFRP can enhance economic result and stabilize the production form in countryside. The ecological result, economic result and social result of CHFRP are sufficient.     

云南省天保工程封山育林现状及对策措施

云南省天保工程于2000年正式启动,实施范围为13个州、市的66个县(市、区),17个森工局,总面积2 403万hm2,其中安排封山育林64.4万hm2,目前已累计完成31.38万hm2。通过调查,文章分析了在封山育林工作中存在的如认识不足、作业设计质量不高、资金不足、林权不清等问题。据此提出了行政、技术、管理、资金等几个方面需要采取的措施。     

封山育林对林木生长的影响及其生态效益分析

为了探讨封山育林对林木生长的影响和封山育林后林分树种组成及林地土壤的变化,在4种不同封禁年限的林分内,分别设置样地和小样方进行调查和分析.结果表明:封山育林能保证幼树较高的成活率,显著提高林分的生长量;随着封山育林时间的延长,在乔木层和幼树层中,亚热带常绿阔叶树种种类和数量明显增加,物种多样性增加,林分的组成和结构朝着更稳定的方向发展,森林的生态效益得到更充分的发挥;封山育林能明显改善林地土壤的物理性质,提高土壤中有机质、全N和速效K的含量,增加腐殖质层厚度,使土壤肥力得到提高.     

湖南省退耕还林工程社会经济效益调查研究

调查结果显示：①农户家庭总收入和净收入退耕后2004年,分别增长41．54％、62．95％,且退耕后农户家庭收入结构也发生了一定的变化;②农户家庭生活和文化消费总支出退耕后2004年增长率分别为37．28％、51．17％,且退耕后农户家庭的生活和文化消费支出结构也发生了一定的变化;③恩格尔系数退耕后2004年下降了3．56％,说明退耕后农民的生活水平得到了进一步提高;④农户家庭就医率和适龄儿童入学率上升到了退耕后2004年的84.5％、97．8％;⑤生态环境建设在我省干部和农户心目中的地住逐渐提高,说明生态环境建设在我省干部和群众中奠定了坚实的民意基础,产生了较为深远的影响力。     

金沙县天然林资源保护工程封山育林区调查分析

金沙县从1999年起实施天然林资源保护工程,完成封山育林面积5455.8 hm2。封育方法包括纯封、人工促进封育等;封育类型包括乔木型、乔灌型、灌木型、灌草型、乔灌草型等.通过调查数据与分析得出,封山育林是生态修复和重建的首选工程措施;生态脆弱的地块封育年限还应该延长到七年或七年以上。通过5年金沙县项目区封育成效分析,灌丛地在5年后覆盖度可提高20%以上;疏林地目的树种马尾松年均高生长可达70 cm以上,年均径生长可达0.7 cm左右。     

茶(饮)用菊花的引种初步研究

在武汉地区研究了引种的4个茶(饮)用菊花品种的生长势、抗逆(热、旱等)性、耐霜能力、散瓣状况、抗病性(抗菊花黑斑病Septoria chrysanthemella)、抗虫性(抗菊姬(小)长管蚜Macrosiphoniella sanborni)等。通过对各项指标的全面分析,最适合武汉地区露地种植的茶(饮)用菊花品种是‘杭白菊’,其次是‘黄山贡菊’。     

混交林的多样性及其光肩星天牛的抗性研究

应用DTV技术和理论 ,采用丰富度指数DMa、多样性指数H、均匀度指数JSW 及随林分中抗虫或感虫木比率由高到低变化时林分多样性指数累加值DV,分析人工混交林的多样性测度阈值与光肩星天牛危害率的关系。研究表明 ,多树种的人工混交林具有明显的抵抗蛀干害虫为害的能力 ,但混交林的抗虫力与所选配树种的抗性、抗性树种在混交林中所占的比率有关。当给定混交林分的树种数后 ,光肩星天牛的危害率PZ 与林分的多样性指数累加值DV 的关系符合Logistic模型 ;该模型中的系数a是林分本身的多样性测度值的起始位置 ,随树种数的增多a值具有稳定的增长规律 ;系数rm 的新意是混交林分对光肩星天牛扩大危害的阻力、即潜在的抗虫能力 ,rm 随林分中树种数的增多具有显著增大的趋势。林分的最大多样性测度值KDMa 、Kh、KJsw 也具有相同的变化规律。在 4～7个树种组成的系列混交林内 ,林分的多样性测度阈值DTV随树种数的增加而增高 ,但被害率极值Lvp反而降低。上述规律的意义还在于 ,随混交林中树种数的增加 ,设计或改造现有感虫林时选择树种的余地也增大。     

Population viability risk management (PVRM) for in situ management of endangered tree species—A case study on a Taxus baccata L. population

Population viability risk management (PVRM) provides a framework for explicitly including qualitative information about the possible outcomes of a management decision with regard to the viability of an endangered population in conservation management. Multi-criteria decision-making (MCDM) techniques enables managers to select the most preferred choice of action in a context where several criteria apply simultaneously. In that context a combined approach of the PVRM concept and a MCDM technique is presented for the development, evaluation and finally ranking of the in situ conservation strategies. We discuss the concept based on a case study for the maintenance of a gene conservation forest of an English yew population (Taxus baccata L.) in Styria, Austria. As part of the PVRM the analytic hierarchy process (AHP) is used to evaluate six conservation strategies with regard to the viability of the yew population. The viability of the population is evaluated based on the results of an analysis of the current environmental, social and economical state and a characterization of the ecological parameters of its population. The most significant risk factors (illegal cutting, browsing by game, tree competition, light availability and genetic sustainability) are structured and prioritised according to their impact on the viability of the yew population applying the AHP. Effects of the six conservation strategies on the viability of the yew population are determined through a qualitative assessment of the probability of a decrease of the population along with four different environmental scenarios. In this context strategy IV combining selective thinning, protection measures, game control with public relation activities seems to be the most effective alternative. The benefits of the combined approach of the PVRM concept with the AHP for the rational analysis of conservation strategies for this endangered tree species are discussed.     

Analysis of Basal Area for Chinese Fir Plantation Using Two Kinds of Nonlinear Mixed Effects Model(Two Levels)

Nonlinear mixed effects model（NLMEM） is based on the relationship between the fixed and random effects in the regression function.The NLMEM has a competitive advantage in analyzing repeated measures data,the longitudinal data and multilevel data.This paper chose two kinds of two-level nonlinear mixed model to analyze basal area growth for Chinese Fir（Cunninghamia lanceolata）. Model 1 is a general two-level NLMEM and Model 2 is based on Model 1 to further consider the fixed effects parameters changes with a specific factor. Firstly,through the analysis of these two models, this paper defined the basic model to build the two-level NLMEM.Secondly,665 kinds of models derived from Model 1 and 2 703 kinds of models derived from Model 2 were calculated and compared. The results showed that:for Model 1,there were 57 kinds of models converging,and when the formal parameter b₀ considered the block effects and plot effects,b₁ and b₄ only considered the block effects, the model fitted the best;and for Model 2,there were 24 kinds of model converging,and when the formal parameter bs considered the block effects and plot effects,b₁ only considered block effects and the fixed effects b₀ changed with any level of block level, Model 2 fitted the best.Finally,by comparing the traditional nonlinear regression model,Model 1 and Model 2,the results showed that Model 1 and Model 2 fitted better than the traditional nonlinear regression, and Model 2 was best fitting model.