杉木老龄林群落的种-多度关系研究

以杉木老龄林群落为研究对象,结合对数级数和对数正态分布模型,建立3 600 m2的大样地分析杉木老龄林群落的种-多度关系。结果表明:样方的平均物种数和个体数分别为6.86种和35.75株,各样方的物种数及个体数存在极显著正相关关系,说明杉木老龄林群落中生境空间对物种个体的承载能力,还未限制其物种数量。个体数-种序(p>0.05)和频度-种序(p>0.05)的分布曲线均符合对数级数分布;对数正态分布模型则能够较好拟合个体数-种序(p>0.05)的分布曲线,但频度-种序(p<0.05)的分布曲线则不适合用该模型来解释。随着尺度的增加,物种数和个体数的变异系数、二者间的相关性及物种数的方差逐步下降,个体数的方差却呈上升的趋势。     

三岔子林区黄檗野生种群资源状况的调查与分析

以吉林省三岔子林业局不同林龄的林分为对象,调查与分析黄檗野生种群的资源状况,结果表明:单位面积活立木平均株数在幼龄林林分中占12.3%,在中龄林中占3.8%,在成过熟林中占2.6%,3个龄组林分的平均株数比例为6.2%;单位面积活立木平均蓄积在幼龄林林分中占7.3%,在中龄林中占2.4%,在成过熟林中占1.3%,3个龄组林分的平均蓄积比例为3.7%。     

北京妙峰山森林文化条件价值评估

【目的】评价妙峰山森林文化价值，对我国其他地区的森林文化价值评估亦有一定的借鉴意义，为全面开展中国森林文化价值量化评估探索路径。【方法】采用条件价值评估法，调研受访者对森林文化的认同程度，评估妙峰山森林文化价值，继而采用逐步回归法分析受访者支付意愿的影响因素。【结果】古树名木、寓言典故和神山传说是受访者接触程度最高的文化符号；受访者了解森林文化的方式呈现多元化，互联网和书籍是最主要的途径；森林采摘是受访者最乐于接受的森林实践活动；94%以上的受访者认同森林具有文化价值，认可程度较高；舒缓心情是受访者最为认同的福利(占比为82.32%)，其次为锻炼身体(占比为62.20%)和休闲娱乐(占比为45.12%)；妙峰山森林文化的人均支付意愿为100元人民币，最重要的影响因素是个人年收入，其次是对森林文化价值的认同程度和学历；对所支付费用的使用透明度不放心是部分受访者拒绝支付的最主要原因；大部分受访者(占比为53.05%)愿意将所支付的费用使用在妙峰山森林文化艺术创作方面，捐款(占比为33.77%)是受访者最愿意接受的支付方式。【结论】理解偏差、心理账户偏差、支付方式偏差、投标起点偏差等多种偏差都会造成条件价值评估结果的误差。即使本研究只是初步估值，本研究的方法与结论仍然可以为建设与保护森林文化的相关管理决策提供依据。另外，如何提升国民对森林文化的认知和参与程度以及对森林文化所带来福利的感受，是提升国民对森林文化的认可程度，乃至提升森林文化价值的关键。森林文化的内涵随着人类对森林功能认识的不断深入、人类与森林相互作用关系的变化而不断拓展，如何正确认识森林文化并科学计量森林文化的价值仍然是一个有活力的课题，值得继续深入研究。     

浅谈内蒙古大兴安岭林区一期天保工程实施效果

文章对内蒙古大兴安岭林区一期天保工程实施效果进行了分析、评价,剖析了其存在的主要问题,并对今后经营提出了相应的建议。     

满归林业局森林资源现状与分析

文章对满归林业局的森林资源现状进行了阐述,并对其龄组的结构状况进行了必要的分析,同时,提出了建议与措施。     

森林类型对大气中PM2.5值的影响

从2014年9月开始到2015年8月,在长沙市郊湖南省林业科学院杜家冲试验林场选择不同森林类型林分,对其大气中PM2.5持续监测1年。结果表明:该区大气中PM2.5值最高的为阔叶混交林,其次为2个空旷地,最低的为樟树林;大气中PM2.5值在不同林分间差异不显著,在不同时间段间差异显著。     

Enhancing pedotransfer functions with environmental data for estimating bulk density and effective cation exchange capacity in a data‐sparse situation

Soil bulk density (BD) and effective cation exchange capacity (ECEC) are among the most important soil properties required for crop growth and environmental management. This study aimed to explore the combination of soil and environmental data in developing pedotransfer functions (PTFs) for BD and ECEC. Multiple linear regression (MLR) and random forest model (RFM) were employed in developing PTFs using three different data sets: soil data (PTF‐1), environmental data (PTF‐2) and the combination of soil and environmental data (PTF‐3). In developing the PTFs, three depth increments were also considered: all depth, topsoil (<0.40 m) and subsoil (>0.40 m). Results showed that PTF‐3 (R²; 0.29–0.69) outperformed both PTF‐1 (R²; 0.11–0.18) and PTF‐2 (R²; 0.22–0.59) in BD estimation. However, for ECEC estimation, PTF‐3 (R²; 0.61–0.86) performed comparably as PTF‐1 (R²; 0.58–0.76) with both PTFs out‐performing PTF‐2 (R²; 0.30–0.71). Also, grouping of data into different soil depth increments improves the estimation of BD with PTFs (especially PTF‐2 and PTF‐3) performing better at subsoils than topsoils. Generally, the most important predictors of BD are sand, silt, elevation, rainfall, temperature for estimation at topsoil while EVI, elevation, temperature and clay are the most important BD predictors in the subsoil. Also, clay, sand, pH, rainfall and SOC are the most important predictors of ECEC in the topsoil while pH, sand, clay, temperature and rainfall are the most important predictors of ECEC in the subsoil. Findings are important for overcoming the challenges of building national soil databases for large‐scale modelling in most data‐sparse countries, especially in the sub‐Saharan Africa (SSA).     

吉林省公益林管理地理信息系统研究

本文对公益林管理系统进行需求和可行性分析,应用Microsoft Visual C#、Java等编程语言,在个人电脑终端客户、服务器和手机上开发了公益林管理地理信息系统,该系统适用于公益林管理,工作效率高,达到了实时监管公益林森林资源的目的。     

基于贡献度随机森林模型的公司债信用风险实证分析

运用贡献度随机森林方法（CRF）方法探讨公司债财务指标比率与其违约率的关系.运用连续属性离散化方法（OB）进行财务指标最优降维；运用WOE变换进行模型变量约简.研究表明，CRF模型的分类性能显著优于其他模型，测试集评估总体正确率达90.47%，AUC统计量、AR比率及K-S值分别提升了2.6%、7.6%、4.38%，变量贡献度量化了各财务指标对违约率影响，为诠释随机森林预测机制提供了依据.     

S‐locus diversity and cross‐compatibility of wild Prunus avium for timber breeding

Prunus avium is primarily cultivated for its fruit, sweet cherries. However, it is also used to produce high‐quality timber. In a P. avium seed orchard, gametophytic self‐incompatibility is a restriction for free pollen flow and should be considered when establishing basic forest materials. In this study, S‐locus diversity and cross‐incompatibility of wild cherry individuals in clonal banks established for breeding for timber production were investigated. Wild cherry trees (140) with outstanding forest growth habit, collected in northern Spain, grafted and planted in two clonal banks, were genotyped at the S‐locus. The self‐incompatibility S‐locus genes, S‐RNase and SFB, were analysed by PCR. Twenty‐two S‐haplotypes, resulting in 72 different S‐genotypes, were identified. The genotypes were grouped into 33 incompatibility groups and 39 unique genotypes. This initial S‐locus analysis revealed large genetic diversity of wild cherry trees from the Spanish northern deciduous forest, and provides useful information for seed orchard design. Wild P. avium displays significantly more genetic diversity than what is detected in local cultivars, revealing a narrowing of genetic diversity during local domestication.