宽甸地区林业资源及其特色产业发展研究

综述宽甸地区自然条件和林业资源概况,介绍林业特色产业的规划布局和建设现状。基于生态文明的发展理念,根据林业资源的特点和优势,提出进一步发展特色林业产业的可行性建议,为充分发挥宽甸地区林业资源潜力提供借鉴。     

白云国家森林公园适老性评价及优化分析

指出了人口老龄化是社会发展的必然趋势,也是当前中国面临的重要社会问题之一,国家和地方各级政府出台了一系列政策,切实保障老年人的权益。森林公园除保护其范围内自然环境和自然资源外,为人们的游憩、疗养、避暑和文化娱乐等提供了良好的环境,逐渐成为老年人休闲娱乐生活的选择。选取浙江丽水白云国家森林公园为研究对象,通过实地踏查、问卷调查和随机访谈等方法,深入调查了老年人个人基本资料及背景、活动状况和使用情况,对3类典型空间和4类景观元素进行了详细地分析,针对不足之处提出了相应的优化建议,以期为相关公园绿地的适老性规划设计提供建设思路。     

基于距离相关系数和KNN回归模型的森林蓄积量估测研究

【目的】探究Landsat8 OLI数据和KNN算法在森林蓄积量估测中的潜力。【方法】以湖南省湘潭县为研究区,采用Landsat8 OLI数据和同时期的二类调查数据,通过距离相关系数筛选特征,分别采用线性回归模型(MLR)、K-近邻模型(KNN)、距离加权KNN模型(DW-KNN)和优化欧式KNN模型(FW-KNN)对森林蓄积量进行估测。使用十折交叉方法进行精度检验,对检验结果进行对比分析。【结果】3种KNN模型的估测结果均高于传统的线性模型,并且在3种KNN模型中,FW-KNN算法效果最好,决定系数达到0.69,为3种模型中最高;3种KNN模型中,本研究优化欧氏距离KNN模型的估测精度最高,其均方根误差为30.3%,相比于传统KNN模型的均方根误差降低了5.1%,相比于DW-KNN模型降低了3.3%。【结论】采用DW-KNN蓄积量估测结果明显优于其他两种模型,说明通过特征与蓄积量的相关性优化样本间的距离是一种可行的KNN优化方法。     

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。     

Age estimation of different tree species using a special kind of an electrically recording resistance drill

The determination of tree age is an important issue for urban green planning, forestry and dendrology; finding non-destructive and quasi-non-destructive methods for this purpose is of great theoretical and practical importance. The resistance drilling method is quasi-non-destructive because the average diameter of an opening that remains after drilling does not exceed 3 mm. Do electrically recording resistance drills allow precise assessment of tree age? The aim of this study is to assess the accuracy of determining the number of tree rings based on an examination of this special kind of drilling resistance profiles for three tree species, the pine Pinus sylvestris L., the oak Quercus robur L., and the birch Betula pendula ROTH. In 2015 and 2016, 15 pine trees, 15 oak trees, and 15 birch trees were randomly selected. For each studied tree, a measurement was conducted using the electrically recording resistance drill IML-Resi E400 with a flat-tipped 1.5/3 mm steel needle (research sample), and an increment core was taken (reference sample). The drill used was not a real Resistograph^®. The analysis of the E400-profiles underestimated the number of tree rings; the mean bias error (MBE) values were –6.5, –2.5, and –6.0 years for pine, oak, and birch, respectively. The proportion of investigated trees with less than five years difference between the research and reference samples varied from 38.4 (birch) to 66.7 (oak) percent. The accuracy of tree age determination was lowest for birch and highest for oak. The binomial generalised linear model (GLM) revealed that the most accurate tree age assessments were obtained from tree rings wider than 2 mm. The measurements clearly showed that the electrically recording resistance drill IML-Resi E400 enables a quick, although approximate, tree age assessment. Future research should concentrate on electronically regulating and recording drills, providing a higher spatial and signal resolution, and a stronger correlation to wood density.     

不同秧龄对沿江地区双季晚稻秧苗素质及产量的影响

以早熟高产品种上农粳2号和镇稻18为材料,采用常规毯苗机械栽插,分别设置20 d、24 d、28 d、32 d等4个秧龄处理,研究不同秧龄对沿江地区双季晚稻秧苗素质、生育进程、茎蘖动态及产量构成的影响。结果表明,随秧龄天数增加,参试品种的绿叶数、茎基宽和根系盘结力均逐渐升高;与20 d、24 d和28 d秧龄的处理相比,32 d秧龄处理的成熟期提前4~5 d,茎蘖高峰期提早15 d左右,结实率显著升高;与24 d秧龄处理相比,上农粳2号和镇稻18在32 d秧龄处理下的产量分别提高10.26%和20.82%。在秧苗强化化控和苗床管理的条件下,安徽沿江地区常规毯苗机插的栽插秧龄可延长至32 d。     

王正非林火蔓延模型改进研究

王正非林火蔓延模型是目前国内比较先进的森林火灾蔓延模型,但是由于林火行为的复杂性,此模型在准确率和普适性方面仍存在许多不足。本文结合已有的成果进一步改进王正非模型,增加了可燃物湿度对林火蔓延速度的影响,改进了林火初始速度的计算方式。针对各种坡度对林火蔓延行为的影响给出了一个计算公式。与改进前相比,改进后的模型使其对林火蔓延情况的预估更为精准。     

Radioisotope and stable isotope ratios (Δ14C, δ15N) suggest larval lamprey growth is dependent on both fresh and aged organic matter in streams

Lampreys have a complex life cycle which includes a multi‐year infaunal larval stage (ammocoete). Gut content analysis has generally identified detritus (i.e., unidentifiable organic matter) as the major dietary component to ammocoetes, though algae can also be important. However, gut content preserves only a snapshot of the animal's diet and does not reflect assimilated material. In order to better characterise the nutritional sources supporting ammocoete growth, we analysed ammocoete body tissue and potential dietary sources at two streams using natural Δ¹⁴C and δ¹⁵N to estimate time‐integrated nutritional support. Bayesian isotope mixing models revealed differences in the importance of sources supporting ammocoetes between sites. Ammocoetes from a stream in a mixed land usage area (~50% agriculture, ~40% forest and ~10% developed) were primarily supported (mean: ~50%) by fresh terrestrial organic matter but were also supported by substantial contributions (mean: ~30%) by aged organic matter (AOM) and autochthonous material (algae; mean ~20%). In a predominantly forested (~90%) headwater stream, different modelling scenarios (uninformed or informed priors) suggested that algal support of ammocoete nutrition ranged from 7% to 45%. However, the model relying on informed priors developed from gut content analysis produced the low estimates, suggesting these were more reliable. When algae were a minor component of the nutrition at the forested site, ammocoetes were highly dependent on AOM (83 ± 26%; mean ± SD). Based on these findings, ammocoete growth and development are predicted to be strongly influenced by both land use and the availability of allochthonous and autochthonous materials of varying ages within streams.     

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。     

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。