Determinates of the competitiveness of provincial forest health care industry in China

Due to the late start of China’s forest health industry,related research is lagging behind,which results in the inability to propose a corresponding path to enhance competitiveness.Based on this,the evaluation index system of provincial forest health industry competitiveness was constructed by using the Porter diamond model,and the Entropy-TOPSIS model is used to evaluate the competitiveness of China’s provincial forest health industry,and the key influencing factors of the forest health industry competitiveness are identified by using the grey correlation analysis method,and the specific promotion path was designed.The empirical results show that the grey correlation degree between related and supporting industries and the competitiveness score of the forest health industry is the highest,which confirms that it is the key influencing factor of the competitiveness of the forest health industry.Therefore,government departments should vigorously promote the integration of cultural tourism,medical care,pension and other related industries with the forest health care industry;enterprises should strengthen the construction of forest health infrastr ucture and supporting facilities to improve the level of forest health services.

Assessment of forest dieback on the Moroccan Central Plateau using spectral vegetation indices

Cork oak forests in Morocco are rich in resources and services thanks to their great biological diversity,playing an important ecological and socioeconomic role.Considerable degradation of the forests has been accentuated in recent years by signifi cant human pressure and eff ects of climate change;hence,the health of the stands needs to be monitored.In this study,the Google Engine Earth platform was leveraged to extract the normalized diff erence vegetation index(NDVI)and soil-adjusted vegetation index,from Landsat 8 OLI/TIRS satellite images between 2015 and 2017 to assess the health of the Sibara Forest in Morocco.Our results highlight the importance of interannual variations in NDVI in forest monitoring;the variations had a signifi cantly high relationship(p<0.001)with dieback severity.NDVI was positively and negatively correlated with mean annual precipitation and mean annual temperature with respective coeffi cients of 0.49 and−0.67,highlighting its ability to predict phenotypic changes in forest species.Monthly interannual variation in NDVI between 2016 and 2017 seemed to confi rm fi eld observations of cork oak dieback in 2018,with the largest decreases in NDVI(up to−38%)in December in the most-aff ected plots.Analysis of the infl uence of ecological factors on dieback highlighted the role of substrate as a driver of dieback,with the most severely aff ected plots characterized by granite-granodiorite substrates.

Evaluation of the forest ecosystem health in Beijing area

The evaluation of ecosystem health has become one of the main research topics of ecosystem science, thus more and more assessment methods and frameworks have been put forward in recent years. However, the attention people pay to ecosystem health is actually more about what the social functions the ecosystem affords, which depend on the integrity and maintenance of the ecosystem structure and function, and the intensity of disturbance from outside. Accordingly, this research commenced from three main aspects, selected the evaluation indices, and then established the Evaluation Index System of Beijing Forest Ecosystem Health （EIS-BFEH）. In the EIS-BFEH, each of the three foundations contained an easily-operated and standard sub-index system, which compounded the specific natural and social conditions of Beijing and was concrete enough to measure and evaluate. Then with the method of the Analytical Hierarchy Process （AHP）, the comprehensive index （CI） could be obtained, which represented the health of the forest ecosystem. As a case study, the forest ecosystems in the Badaling area were sampled, evaluated, compared and ranked by use of the EIS-BFEH. The result show that the health of natural forests is much better than that of plantations in the Badaling forest center： the average comprehensive index of the former is 7.9, while the latter is only 6.6. From the results, it could also be found that there are nine units in the healthy state, two units in the subhealthy state, and only one unit of Robiniapseudoacacia in the morbid state.

Health Effect of Forest Bathing Trip on Elderly Patients with Chronic Obstructive Pulmonary Disease

Forest bathing trip is a short, leisurely visit to forest. In this study we determined the health effects of forest bathing trip on elderly patients with chronic obstructive pulmonary disease （COPD）. The patients were randomly divided into two groups. One group was sent to forest, and the other was sent to an urban area as control. Flow cytometry, ELISA, and profile of mood states （POMS） evaluation were performed. In the forest group,

Forest ecosystem health assessment and analysis in China

Based on more than 300 forest sample plots surveying data and forestry statistical data, remote sensing information from the NOAA AVHRR database and the daily meteorological data of 300 stations, we selected vigor, organization and resilience as the indicators to assess large-scale forest ecosystem health in China and analyzed the spatial pattern of forest ecosystem health and influencing factors. The results of assessment indicated that the spatial pattern of forest ecosystem health showed a decreasing trend along latitude gradients and longitude gradients. The healthy forests are mainly distributed in natural forests, tropical rainforests and seasonal rainforests; secondarily orderly in northeast national forest zone, subtropical forest zonation and southwest forest zonation; while the unhealthy forests were mainly located in warm temperate zone and Xinjiang-Mongolia forest zone. The coefficient of correction between Forest Ecosystem Health Index (FEHI) and annual average precipitation was 0.58 (p<0.01), while the coefficient of correlation between FEHI and annual mean temperatures was 0.49 (p<0.01), which identified that the precipitation and temperatures affect the pattern of FEHI, and the precipitation’s effect was stronger than the temperature’s. We also measured the correlation coefficient between FEHI and NPP, biodiversity and resistance, which were 0.64, 0.76 and 0.81 (p<0.01) respectively. The order of effect on forest ecosystem health was vigor, organization and resistance.

Modeling of forest soil and litter health using disturbance and landscape heterogeneity indicators in northern Iran

This paper focuses on the indicators of soil and litter health, disturbance, and landscape heterogeneity as a tool for prediction of ecosystem sustainability in the northern forests of Iran. The study area was divided into spatial homogenous sites using slope, aspect, and soil humidity classes. Then a range of sites along the disturbance gradient was selected for sampling. Chemical and physical indicators of soil and litter health were measured at random points within these sites. Structural equation modeling(SEM) was applied to link six constructs of landscape heterogeneity, three constructs of disturbance(harvest, livestock, and human accessibility), and soil and litter health. The results showed that with decreasing accessibility, the total N and organic matter content of soil increased and effective bulk density decreased. Harvesting activities increased soil organic matter. Therefore, it is concluded that disturbances through harvesting and accessibility inversely affect the soil health. Unexpectedly, it was found that the litter total C and C:N ratio improved with an increase in the harvest and accessibility disturbances, whereas litter bulk density decreased. Investigation of tree composition revealed that in the climax communities, which are normally affected more by harvesting activities, some species like Fagus orientalis Lipsky with low decomposition rate are dominant. The research results showed that changes in disturbance intensity are reflected in litter and soil indicators, whereas the SEM indicated that landscape heterogeneity has a moderator effect on the disturbance to both litter and soil paths.

Relationship between Arthropods in Forest Litter and Forest Health

As an important part in forest ecosystems, the arthropod communities in the forest litter are closely related to forest health.Based on the ecological function,community structure and biology of the arthropods,we discuss the theoretical basis for the selection of particular groups of arthropods as bio-indicators in this paper,and suggest that the evenness and richness of Collembola(Collembolan), Coleoptera(Beetle) and Hymenoptera(Ant) can serve as forest health indicators.In terms of the relationship between forest litter arthropods and forest health,we summarize the main groups of forest litter arthropods suitable as bio-indicators and their ecological functions in forest ecosystems,and subsequently introduce a simple and accurate new method for selecting forest health indicator species by comparing the frequencies of the various species in different habitats.This method was tested with a real case using forest litter arthropods as a bio- indicator to evaluate rain forest health.Finally,the problems in using forest litter arthropods to evaluate and monitor forest habitat health are discussed and the use of multiple bio-indicator species in order to establish a balanced index system is recommended.

基于人体健康的3种城市森林夏季林内紫外线辐射环境特征比较研究

以中波紫外线为主的紫外辐射对人体健康具有多种生物学影响,城市森林能够为居民提供温和的紫外辐射环境。为了解林下紫外线辐射环境特征是否存在树种间差异,对北京市3种常见遮荫树种的夏季林下紫外辐射(UV)强度、林内与林外UV辐射的比值(SR)、UV-B在总UV辐射中占比(UV-B/UV),以及VD合成和红斑效应两种人体作用有效辐射强度(UV_(VD)、UV_(er))进行了测算。结果表明:(1)三种林分林内紫外辐射总量是林外的3%-10%,不同林分的林内UV强度具有显著差异,元宝枫林对UV屏蔽能力最强,其次是栾树林和国槐林;(2)三种林分林冠对不同波长上紫外辐射能量的屏蔽能力具有明显的一致性,林冠对UV-B的屏蔽能力没有在UVA波段强和稳定,林内UV-B/UV普遍高于林外,其中元宝枫林最高,其次为栾树林,国槐林最低;(3)林冠明显改变了日光UV_(VD)和UV_(er)两种人体作用光谱曲线的形态,三种林分内的人体作用光谱曲线形态相似,强度上,林内外UV_(VD)/UV_(er)值均接近1,不同林分间没有显著差异;(4)胸径、无截取散射、平均叶倾角、叶面积指数和叶片透光性等树种特性或林冠结构特征会影响林内UV的强度,但不同林分内的紫外辐射光谱曲线变化趋势和波峰、波谷的位置基本一致,说明林内UV光质特征的树种间差异不明显。

江苏省森林康养产业优化对策研究

为了能够更好地利用各种林草资源,实现生态发展与百姓富裕的有机统一,国家相关部门出台了一系列的政策促进和推动我国森林康养产业的发展。江苏省拥有类型丰富、特色鲜明的自然资源条件,在林业向多种产业融合联动的背景下,森林康养产业逐渐发展起来,但是森林康养产业目前仍在起步阶段,在产业发展中还存在比较多的问题。文章对江苏森林康养产业发展现状及条件,存在的问题进行分析,并提出针对性的优化对策和建议。

乡村振兴背景下森林康养特色旅游高质量发展探讨

乡村振兴战略,其根本在于推进乡村产业发展,森林康养特色资源的挖掘,为解决乡村发展难题提供了有效路径。作为新型旅游业态,森林康养品牌的打造,要坚持高质量发展规划,将产业资源整合、保护与开发衔接起来,挖掘地方资源禀赋,优化完善相关配套设施,重视现代康养医疗技术与旅游产业链的跨界发展,促进森林康养产业成为推动乡村经济转型升级的新的增长点。

乡村振兴背景下的林业产业融合发展路径探索——基于“森林康养+”的林下经济新业态分析

在国家推进乡村全面振兴的背景下,“森林康养+”模式在林下经济发展中迅速占据了重要位置。这一林下经济新业态不仅为传统的林业产业带来了新的发展机遇,而且为乡村振兴战略提供了一种创新和可持续的发展路径。通过对“森林康养+中医养生+生态旅游”融合的内在逻辑及发展要素分析,为“森林康养+”模式提出了建立配套产业协调发展联盟、打造个性化健康与养生定制服务、系统完成产业融合功能区设计和建立并推动林下生态旅游认证体系的对策建议,旨在为林下产业融合发展和乡村产业振兴提供一定的理论与实践路径参考。

基于AHP的丽水市森林康养村产业资源评价探究

为探索森林康养村及其产业资源评价体系的构建,文章基于层次分析法(AHP)建立了一套森林康养村产业资源评价体系。以自然资源康养价值、人文资源康养价值、配套服务水平和产业运营水平为准则层,对丽水市11个森林康养村进行了应用分析,验证了评价体系的可靠性,并对丽水市森林康养村产业资源的评价方法、开发利用和发展路径提出了建议,以期为森林康养村的高质量建设与可持续性发展提供参考依据。

基于随机森林模型分析共情心理对大学生心理健康的影响

目的运用随机森林算法分析共情心理对大学生心理健康的影响。方法采取方便抽样的方法,以问卷调查的方式于2022年8月对河北省某大学的1383名学生进行在线调查,内容包括调查对象一般情况以及基本共情量表和症状自评量表。使用最小二乘法回归模型分析共情心理是否为大学生心理健康的影响因素,构建随机森林模型分析共情心理对大学生心理健康的重要性。结果共回收问卷1383份,有效问卷1348份,问卷有效率为97.5%。回归模型结果表明,共情心理对大学生心理健康水平的影响具有统计学意义(t=-2.051,P<0.05)。随机森林模型的结果显示,大学生心理健康重要性排名前3位的解释变量分别为共情心理、睡眠质量以及学业压力。结论共情心理是影响大学生心理健康的重要因素。建议合理开展提升共情心理能力的活动,关心学生的睡眠时长,适当减轻学生的学业压力。

城市森林康养发展潜力与展望

森林康养是林业与健康养生融合发展的新业态。近年来,有关森林康养产业发展以及森林康养功能研究受到广泛关注,但大多数研究主要集中在条件优越的自然森林,关于城市森林康养研究却相对较少。城市森林作为城市生态系统的重要组成部分,具有改善城市环境、维持生物多样性、促进人类健康等普适性功能,但因与居民生活区较近,受居民活动干扰严重等特点,影响其康养功能的发挥,目前对城市森林康养产业发展潜力和方向仍不清晰。本研究通过综述森林康养相关理论和产业发展现状,结合城市森林的特点探讨了城市森林发展康养产业的优缺点,并对未来城市森林康养发展与应用前景进行展望,以期为城市林业的可持续化发展提供指导。

台江苗族民俗生活中的森林康养元素分析

社会的快速发展带来的压力使人们焦虑、抑郁情绪急剧上升,森林康养的模式也应随之调整。通过文献搜集、田野调查对台江苗族生活习俗进行分析、总结,并用相关现代科学知识加以佐证,发现台江苗族的艺术疗法、酸汤野味食疗和苗药疗法等教育学、营养学和医学元素可应用于森林康养活动中,为森林康养提供苗族康养模式。

基于GF-5高光谱数据的昆嵛山区域森林胁迫研究

为更好地分析森林植被胁迫的生理过程,建立有效的森林监测系统,使用GF-5号高光谱数据对昆嵛山区域植被应力进行遥感健康度估测,GF-5号高光谱数据能够使非破坏性监测叶绿素、类胡萝卜素和花青素含量等叶片色素等重要指标反映植被健康成为可能,适用于当前研究区域的动态健康监测系统。结果显示,混交林健康度均值最高,其次为落叶阔叶林,常绿针叶林和落叶针叶林健康度均值相当;阳坡森林健康度均值最高,其次为半阴坡与半阳坡的森林健康度均值相当,阴坡森林健康度最低;植被健康度与土壤类型呈现一定相关性,与砂土呈现正相关,与粉砂土、黏土呈现负相关关系。研究表明使用与植被冠层中不同类型与胁迫有关的遥感指数来定量表示植被特殊状态、生物物理和生物化学特性,使森林资源的调查监测和管理得以实现。

基于Entropy-TOPSIS模型的中国省域森林康养产业竞争力实证研究

为明晰中国各省域森林康养产业竞争力状况,将产业竞争力相关理论进行融合,从竞争潜力、竞争实力、竞争转化力、竞争支撑力四个维度构建省域森林康养产业竞争力评价指标体系,依据2015—2020年森林康养产业发展相关指标动态数据,运用Entropy-TOPSIS模型对中国省域森林康养产业竞争力进行评价。结果表明:从动态趋势来看,全国森林康养产业综合竞争力水平总体呈现上升趋势,森林康养产业发展速度显著提升;当前中国省域森林康养产业竞争力水平差异悬殊,竞争力总体上呈现“西南及南部地区较高,西北地区最弱”的空间特征,各地森林康养产业准则层竞争力发展状况较不均衡;森林康养产业发展与地区森林资源发展状况吻合度较高,同时经济发展状况也在很大程度上影响森林康养产业竞争力。据此提出强化薄弱地区的基础设施建设、鼓励发展都市林业、注重森林康养与相关产业的融合发展以及制定相应帮扶政策等建议。

中国流动矿工结核病健康教育空间分布及影响因素基于随机森林模型

目的:利用空间分析描述流动矿工结核病健康教育空间分布与空间聚类,再利用随机森林模型和logistics有序回归筛选影响流动矿工人口结核病健康教育的因素,加强流动矿工人口的结核病管理。方法:基于2017年全国流动人口动态监测调查数据,使用全局和局部空间自相关描绘结核病健康教育空间分布格局,使用随机森林算法对影响因素进行重要性排序并降维,将筛选后的变量纳入有序logistic回归。结果:在1165流动矿工人口中共计545(46.78%)人接受结核病健康教育,矿工中男性比重较大,年龄大部分集中于30~50岁。流动矿工的结核病健康教育水平较高的地区分布在四川、陕西和山西。通过全局空间自相关分析,显示流动矿工接受结核病健康教育的分布具有一定空间集聚特征。随机森林模型显示,变量数为10时袋外估算误差率最低,依次为年龄,教育,和谁来往,就业身份,居住意愿,和谁流动,周劳动时间,性别,婚姻,参保情况。有序logistics回归分析显示,小学及以下(OR=1.585,95%IC:0.074~0.847)、无固定雇主的雇员(0.538,95%IC:-1.225~-0.016)、家庭型或团体性迁移(0.714,95%IC:-0.593~-0.08)、没想好居留(0.536,95%IC:-1.01~~-0.238)的流动矿工接受结核病健康教育的可能性更小;与其他人员交往(1.593,95%IC:0.192~0.739)、已参保(2.069,95%IC:0.032~1.422)的流动矿工接受结核病健康教育的可能性更大。结论:2017年全国流动矿工人口结核病健康教育水平较低。较低的文化水平、考虑是否留居本地、家庭型迁移、无固定的雇主、未参保是影响流动矿工人口接受结核病健康教育的危险因素。

基于随机森林算法的COPD病人功能障碍的影响因素

目的:探讨慢性阻塞性肺疾病(COPD)病人的功能障碍现状及其影响因素,为COPD的防控提供参考依据。方法:选取2020年6月—2021年3月天津市3所三级甲等医院的214例COPD病人,采用一般资料调查表、改良版呼吸困难问卷(mMRC)、COPD疾病评定量表(CAT)以及简明版ICF-COPD核心集进行问卷调查,通过随机森林算法对影响因素进行重要性排序,筛选出重要影响因素,应用Logistic回归模型探索其影响因素。结果:COPD病人功能障碍总得分为(15.13±8.36)分。随机森林算法选取的6个影响因素为CAT得分、近1年有无急性加重、个人消费用的用品或物质、气候、慢性阻塞性肺疾病全球倡议(GOLD)分级以及有无合并症。将这6个变量纳入Logistic回归分析,结果显示CAT评分(OR=11.091)、个人消费用的用品或物质(OR=5.136)、有无合并症(OR=2.480)、近1年急性加重(OR=2.347)是COPD病人功能障碍的影响因素。结论:疾病症状严重、药物获取或有效利用存在障碍、具有合并症、近1年有急性加重史和GOLD分级较高对COPD病人功能障碍影响较大。临床护理人员应重视COPD病人的功能障碍,有针对性地进行早期识别与干预。

基于空间分析的森林公园对游憩者健康的影响研究

以福州国家森林公园为例,结合AHP法、问卷调查法与GIS空间分析法量化评价景观元素、空间特征与健康效益评估状况,利用相关性分析与Johnson-Neyman技术解析三者之间的影响,并对空间特征的调节效应与调节阈值进行评估,揭示其作用逻辑和影响边界。结果表明:1)森林公园景观元素对健康效益评估具有显著影响,植被(0.1213)、自然互动体验(0.0962)、动物(0.0914)是重要指标;2)绿视率、植被覆盖度、归一化植被指数、空间可达性、空间围合度与健康效益评估存在显著相关性,但不同要素之间的影响关系具有差异性;3)森林公园景观元素对健康效益评估产生影响的过程中,空间特征对于局部路径存在显著调节作用,绿视率、植被覆盖度、归一化植被指数和空间围合度的正向调节效应阈值分别为34.489、0.2316、0.1911、0.664。结合森林公园评价和空间特征分析,通过相关性分析与调节效应检验,解析了森林公园景观元素、空间特征与健康效益评估的影响,为健康导向的森林公园景观规划设计提供参考借鉴与实践价值。