云南松林下栽培滇黄精试验初报

[目的]探索云南松林下栽培滇黄精的技术。[方法]按照不同林分、坡位、密度设置样方,统计不同种苗类型、林龄类型、坡位类型、密度类型对林下栽培滇黄精生长的影响。[结果]在云南松林下栽培滇黄精,应选择块茎苗进行催芽处理,种植于排水较好的中坡位,郁闭度在0.6左右。[结论]为云南松林下栽培滇黄精提供了科学的依据。     

Impact of weather variables and season on sporulation of Phytophthora pluvialis and Phytophthora kernoviae

Phytophthora pluvialis and Phytophthora kernoviae are the causal agents of important needle diseases on Pinus radiata in New Zealand. Little is known about the epidemiology of the diseases, making the development of control strategies challenging. To investigate the seasonality and climatic drivers of sporulation, inoculum traps, consisting of pine fascicles floating on water in plastic containers, were exchanged fortnightly at five sites in P. radiata plantations between February 2012 and December 2014. Sections of needle baits were plated onto selective media and growth of Phytophthora pluvialis and P. kernoviae recorded. To explore the generalizability of these data, they were compared to detection data for both pathogens from the New Zealand Forest Health Database (NZFHDB). Further, equivalent analyses on infection of Rhododendron ponticum by P. kernoviae in Cornwall, UK allowed the comparison of the epidemiology of P. kernoviae across different host systems and environments. In New Zealand, inoculum of P. pluvialis and P. kernoviae was detected between January–December and March–November, respectively. Inoculum of both species peaked in abundance in late winter. The probability of detecting P. pluvialis and P. kernoviae was greater at lower temperatures, while the probability of detecting P. pluvialis also increased during periods of wet weather. Similar patterns were observed in NZFHDB data. However, the seasonal pattern of infection by P. kernoviae in the UK was the opposite of that seen for sporulation in New Zealand. Phytophthora kernoviae was likely limited by warmer and drier summers in New Zealand, but by colder winter weather in the UK. These results emphasize the importance of considering both environmental drivers and thresholds in improving our understanding of pathogen epidemiology.     

基于网络嵌入性的我国东北国有林区知识转移机理

文中从社会网络视角分析我国东北国有林区职工、家庭及林业企业知识转移的过程和影响因素，以期通过社会关系和网络结构促进林业企业转型。应用知识转移基本理论构建东北国有林区多层次知识转移理论模型，在此基础上从社会网络视角分析林区职工、家庭和林业企业3个层面的知识转移机理。研究表明:增强林区知识转移个体与利益相关者的联系程度、占据更多的结构洞位置以及提高个体网络中心度和凝聚程度有利于知识获取和内化；林区待岗职工与利益相关者的弱联系有利于其获得更多就业机会；国有森工企业由于过度嵌入社会网络，知识内化和创新动力不足。     

基于随机森林的高寒湿地地区土地覆盖遥感分类方法

高寒湿地是青藏高原典型独特的生态系统,是全球气候变化的敏感地带和预警区。利用遥感技术快速、准确地分类提取高寒湿地的土地覆盖信息,对当地生态安全监测和保护具有重要意义。本文以若尔盖湿地国家级自然保护区为研究区,首先,以高分一号(GF-1)遥感影像为数据源,融合光谱特征、水体指数、地形特征、植被指数和纹理信息等26个变量进行随机森林(Random forest,RF)分类实验;然后,根据袋外数据(Out of bag,OOB)的特征变量重要性得分和精度评价结果,选出高寒湿地地区土地覆盖类型的最优分类方案和特征;最后,对特征变量进行降维,并基于相同的变量,采用极大似然法(Maximum likelihood classification,MLC)、支持向量机(Support vector machine,SVM)、人工神经网络(Artificial neural network,ANN)和RF等方法进行分类,比较不同方法的优适性。结果表明:结合GF-1影像光谱、水体、植被、纹理特征和地形信息,使用26个变量的RF模型的分类精度最高,总体精度(Overall accuracy,OA)为90.07%,Kappa系数为0.86;通过RF模型的变量重要性分析可以有效选出重要的特征信息,在降低特征变量维度的同时,还能保证较高的分类精度; 4种分类方法中,RF算法是高寒湿地地区较合适的分类方法,OA比MLC基准方法高17.63个百分点,比SVM和ANN等机器学习算法分别高6.98、6.56个百分点。     

黔东南州打造全域森林公园的可行性研究

指出了建设全域森林公园是经济和社会发展的必然要求。在对黔东南州发展全域森林公园进行必要性和打造条件后认为:黔东南州在打造全域森林公园方面具有明显的政策优势,有着优良的森林生态环境资源,以及良好的林业产业基础等优势条件。通过不断完善相关的配套服务体系,已具备了打造全域森林公园的可行性。     

基于农户视角的城郊区葡萄种植效益分析

基于陕西省西安市鄠邑区葡萄种植户的调查数据,在构建农户层面效益评价指标体系的基础上,评价了农户种植葡萄的效益状况。结果表明:第一,农户葡萄种植效益整体位于中等偏下的水平;第二,高效益农户与低效益农户在经济效益、生态效益以及就业机会上存在显著差异,而在对子女和老人的照顾上差异不大;第三,经验丰富、种植规模较大的纯农业型农户的效益较高。节水灌溉技术有助于提高农户的经济效益,而购买化肥的渠道、接受技术培训和有购买过假化肥经历对农户种植经济林的生态效益有影响。     

中国林产工业产业关联与波及效应分析——基于投入产出模型的国际比较

文中基于中国、美国、俄罗斯、印度、巴西、印度尼西亚6国2000—2014年投入产出数据，通过测算中间需求率、中间投入率、感应度系数和影响力系数，对林产工业产业关联与波及效应进行动态比较分析。研究结果表明:相较于其他国家，中国木材加工业、造纸业的中间产品型产业特征明显，对国民经济贡献程度较高，但同时也面临成为“瓶颈产业”的风险；中国家具制造业的最终需求型产业性质显著，受整体经济发展的拉动作用明显弱于其他国家。总体而言，中国林产工业对国民经济的推动作用整体上高于国民经济发展对其的拉动作用。需要重点提升木材加工业、家具制造业整体产业链竞争力，加大科研创新投入力度以提升产出效率，并进一步提高家具制造业整体产品的附加值。     

Development of a linear mixed-effects individual-tree basal area increment model for masson pine in Hunan Province,South-central China

ABSTRACT

An individual-tree basal area increment model was developed for masson pine based on 26276 observations of 13,138 trees in 987 sample plots from the 7th (2004), 8th (2009), and 9th (2014) Chinese National Forest Inventory in Hunan Province, South-central China. The model was built using a linear mixed-effects approach with sample plots included as random effects since the data have a hierarchical stochastic structure and biased estimates of the standard error of parameter estimates could be a consequence of applying ordinary least square (OLS) for regression. In addition, within-plot heteroscedasticity and autocorrelation were also considered. The final mixed-effects model was determined according to the Akaike information criterion (AIC), Bayesian information criterion (BIC), log-likelihood (Loglik), and the likelihoodratio test (LRT). The results revealed that initial diameter (DBH), the sum of the basal area (m²/ha) in trees with DBHs larger than the DBH of the subject tree (BAL), number of trees per hectare (NT), and elevation (EL) had a significant impact on individual-tree basal area increment. The mixed-effects model performed much better than the basic model produced using OLS. Additionally, the variance structure of the model errors was successfully modeled using the power function. However, the autocorrelation structures were not defined because there was no autocorrelation amongst the data. It is believed that the final model will contribute to the scientific management of the masson pine.     

千岛湖森林康养基地发展路径探析 ——基于千岛湖龙川湾的调查研究

国家相关管理部门联合提出按照“环境优良、服务优质、管理完善、特色鲜明、效益明显”的要求建设一批国家森林康养基地。以浙江千岛湖龙川湾为例,分析其森林资源、地理区位、产业链、发展规模、社会合作、管理保障、三大效益等方面建设森林康养基地的优势,整合提升游憩观赏、研学文化、垂钓休闲、扶犁耕地、康养保健、疗养康复、健身拓展区域空间布局与发展举措,从康养体验、休闲体验、运动健身等方面增强千岛湖龙川湾森林康养基地功能,推进森林康养产业发展。     

基于森林健康理念的森林康养产业发展研究

阐述了森林健康理念和森林康养的基本概念,介绍了森林健康理念和森林康养的发展现状,分析了森林健康与森林康养产业之间的关系。结果表明:森林康养产业的理论基础就是基于森林健康理念继承发展来的,必然会促进森林健康产业的发展。运用森林健康理念指导森林康养产业发展是森林康养产业可持续发展的有效途径,森林健康理念在中国会不断完善和发展,也更有利于中国森林康养产业的发展。展望康养产业,会形成一种新的经济形态,成为国民福祉。