森林康养步道五感体验需求与潜在游客体验意愿分析

【目的/意义】通过探索五感体验需求对潜在游客体验意愿的驱动影响,以期能够准确理解与把握潜在游客的行为意向,为森林康养步道设计提供理论参考。【方法/过程】以潜在游客为研究对象,借助AMOS构建结构方程模型,并引入“认知程度”这一调节变量进行层级回归分析。【结果/结论】结果表明:五感体验需求对潜在游客选择体验森林康养步道的意愿具有正向显著影响;在森林康养步道中,对五感体验需求影响最大的为触觉体验需求,其次为嗅觉体验需求、视觉体验需求和听觉体验需求,影响最小的是味觉体验需求;潜在游客对森林康养的认知程度对于五感体验需求与体验意愿之间的关系具有正向调节作用。     

Assessment of short-term mortality of granary weevil,Sitophilus granarius (Coleoptera: Curculionidae) triggered by different microwave irradiation powers

Abstract

The insecticidal efficacy of microwave irradiation against the at 12, 24, 48 and 72?h following exposure to microwave irradiations (100, 300?W) and the progeny production was assessed 45?days later. Linearly increasing irradiation power range (100, 200 and 300?W) was set up for determining mortality tendency. An increase of insect mortality caused by higher irradiation period and times elapsed after treatment has become evident commencing from 12?h after the treatment, which has significantly decreased at later elapsed time after treatment. The irradiation periods inducing the highest mortality at the examined powers were at 10?min and at 100?W power (72?h: 64.93%) and at 4.5?min. and at 300?W power (12?h: 87.01). In addition, a complete suppression of progeny production was achieved by 4.5?min treatment at 300?W power. Lognormal-type mortality process was caused by the linearly increased irradiation range. The properly chosen microwave irradiation can be used for management of Sitophilus granarius larval and adult developmental stages. This treatment could provide an effective and friendly environmental treatment technique in Integrated Pest Management (IPM) program.     

Improving wood volume predictions in dry tropical forest in the semi-arid Brazil

The volumetric variability of dry tropical forests in Brazil and the scarcity of studies on the subject show the need for the development of techniques that make it possible to obtain adequate and accurate wood volume estimates. In this study, we analyzed a database of thinning trees from a forest management plan in the Contendas de Sincorá National Forest, southwestern Bahia State, Brazil. The data set included a total of 300 trees with a trunk diameter ranging from 5 to 52 cm. Adjustments, validation and statistical selection of four volumetric models were performed. Due to the difference in height values for the same diameter and the low correlation between both variables, we do not suggest models which only use the diameter at breast height (DBH) variable as a predictor because they accommodate the largest estimation errors. In comparing the best single entry model (Hohenald-Krenn) with the Spurr model (best fit model), it is noted that the exclusion of height as a predictor causes the values of 136.44 and 0.93 for Akaike information criterion (AIC) and adjusted determination coefficient (R2 adj), which are poorer than the second best model (Schumacher-Hall). Regarding the minimum sample size, errors in estimation (root mean square error (RMSE) and bias) of the best model decrease as the sample size increases, especially when a larger number of trees with DBH≥15.0 cm are randomly sampled. Stratified sampling by diameter class produces smaller volume prediction errors than random sampling, especially when considering all trees. In summary, the Spurr and Schumacher-Hall models perform better. These models suggest that the total variance explained in the estimates is not less than 95%, producing reliable forecasts of the total volume with shell. Our estimates indicate that the bias around the average is not greater than 7%. Our results support the decision to use regression methods to build models and estimate their parameters, seeking stratification strategies in diameter classes for the sample trees. Volume estimates with valid confidence intervals can be obtained using the Spurr model for the studied dry forest. Stratified sampling of the data set for model adjustment and selection is necessary, since we find significant results with mean error square root values and bias of up to 70% of the total database.     

陕北黄土区退耕还林(草)地土壤质量特征及其对降水的响应

为了解陕北黄土区退耕还林（草）地土壤质量差异特征及其对降水的响应，该文沿370～470 mm的降水梯度，选取了陕西省吴起县境内的王洼子（370～395 mm）、大吉沟（440～445 mm）和白豹（460～470 mm）3个降水梯度区作为研究区，并结合土壤质量指数法，定量评价降水梯度区广泛栽植的刺槐林（Robinia pseudoacacia）、沙棘林（Hippophae rhamnoides）和草地的土壤物理结构、持水性、盐碱度、碳汇指标以及速效养分指标方面的综合得分，明确植被恢复后土壤质量随降水梯度的变化特征。结果表明：1）降水量、植被类型以及二者的交互作用对土壤指标影响显著（P<0.05）。2）在460～470 mm降水量区，刺槐林（0.829）对土壤质量改良效果最好，其次为沙棘林（0.808），二者土壤质量均达到肥沃水平，且差异不显著，草地（0.679）土壤质量指数最低，土壤为较肥沃水平；在440～445 mm降水量区，沙棘林（0.74）对土壤改良效果最好，其次为刺槐林（0.601），二者均达到较肥沃水平，草地（0.479）土壤质量指数最低为中等水平；在370～395 mm降水量区，3种植被类型土壤质量指数由大到小表现为沙棘林（0.744）>刺槐林（0.387）>草地（0.251），沙棘林土壤质量等级为较肥沃、刺槐林和草地为贫瘠水平。3）在370～470 mm降水梯度内，3种植被类型土壤质量综合指数均随着降水量的减少而降低，其中沙棘林土壤质量指数变异性较低（4.1%），刺槐林（30.1%）和草地（37.2%）土壤质量变异性较高。该研究结果可为陕北黄土区370～470 mm降水梯度下的植被恢复与重建等林业生态工程实施提供数据支撑与理论支持。     

基于体验经济的乡村花卉旅游产品提升策略研究

旅游从诞生之初就具备了体验经济的属性，而创造独特的、难忘的、新奇的旅游体验，让旅游 者在旅行过程中获得多层次需求的满足成为旅游企业努力的方向。在体验经济时代背景下，针对乡 村花卉旅游市场，了解游客市场需求，发挥资源优势，转变运营思路，对原有的花卉旅游产品进行提升 和创新是目前值得思考研究的课题。根据模型提出乡村花卉旅游产品的提升策略，主要是针对存在 的问题提出相应的解决方案，结合理论给出系统的产品建议，同时也提出了政府、企业、乡村、人才培 养等方面保障建议以促进花卉旅游的可持续发展。     

森林抚育技术要点及其合理化建设策略

随着我国经济的发展和社会的进步，国家需要不断提高对于森林资源的重视程度，并且在对 森林抚育技术的应用过程中，提出更加有作用的要点和建设策略。     

林麝肺源ST1249型铜绿假单胞菌的分离鉴定及其全基因组序列分析

【目的】对分离自林麝化脓肺脏的1株疑似铜绿假单胞菌(PA)进行鉴定,并分析其致病和耐药机制,为林麝PA感染化脓性疾病的防控奠定基础。【方法】将病原菌分离纯化后,依次进行生化试验、16S rRNA序列分析、药敏试验和小鼠致病性试验,并通过全基因组测序,对分离菌株进行群体进化和物种分型分析以及基因功能注释。【结果】分离自林麝化脓肺脏的1株疑似铜绿假单胞菌经鉴定与PA相符,命名为FMDP001。药敏试验显示其对阿莫西林、头孢曲松、氨曲南、多粘菌素B和林可霉素耐药;对小鼠半数致死量为9.4×10~5 CFU/mL。全基因组序列分析显示该菌基因组大小为6 955 100 bp,序列类型为ST1249,与B136-33株同源性最高,且两菌株基因组平均核苷酸一致性(ANI)值达98.93%;全基因组中共有357个序列编码FMDP001与致病性相关的基因,根据功能分为黏附、铁摄取、胞外毒性蛋白和调控系统;84个序列编码耐药基因,其中多药耐药外排泵为主要成分。【结论】从林麝化脓肺脏中分离到1株致病性较强的PA,并获得ST1249型林麝源PA的全基因组序列,序列显示该菌携带大量药物外排泵及生物膜形成相关基因,决定其具有多重耐药特性,哌拉西林等可作为该类型PA感染的临床用药。     

九连山国家森林公园负氧离子浓度时空变化及影响要素研究

负氧离子不仅对空气质量具有改善作用，而且对人体健康起到重要的影响。通过连续观测九连山国家森林公园空气负氧离子浓度，分析负氧离子浓度的时空变化规律及与各气象要素之间的相互关系。结果表明，九连山国家森林公园负氧离子浓度水平达到Ⅰ级标准，对人体健康极有利。原始阔叶林中负氧离子浓度明显高于人工林中负氧离子的浓度，且原始阔叶林和人工林中负氧离子浓度都呈现夏秋高于冬春，夏季最高，冬季最低；早晚浓度明显高于白天浓度的规律。因此九连山国家森林公园适合出游时间为夏秋季，且上午或傍晚最佳。此外，负氧离子的浓度与空气温度、湿度以及降水量都有明显的相关性，同时也受其他气象因素的影响。这些结果可以为推进森林旅游业的建设提供科学支持，特别是自然保护区内负氧离子资源和旅游产品的开发。