基于生态信息诊断框架的杉木人工林生物量生态预测研究

森林生物量会直接影响森林生态系统服务的评估。如何运用景感生态学,准确预测区域尺度下森林生物量的时空演变趋势,是关乎国家重大方针政策制定和生态产业体系建设的关键性战略课题。本研究目的是构建一套生态信息诊断框架,优化趋善化模型（3PG2模型）结构,解决由于模型结构设计所导致在森林景感营造过程中生态预测的不确定性。以杉木林分布广泛的福建南靖县为研究区域,选择合适的阈值范围和空间统计分析识别出模拟生物量的不确定性区域,构建包含Geogdetector软件、遗传技术和计算机程序3个部分组成的生态信息诊断框架,使用Geogdetector软件阐明多重因素交互作用对模型模拟的影响及机理,采用遗传技术优化模型结构以提升模拟精度,运用计算机程序和3PG2模型准确预测区域尺度杉木林生物量的时空演变趋势。结果表明：林龄是导致3PG2模型生物量模拟结果不确定性的主导因素。通过景感生态学（谜码数据和趋善化模型）构建的生态信息诊断框架可以准确预测森林生物量,实现区域尺度上的可持续森林管理。     

Phytoplankton and ecological status of forest lakes in the Omsk Priirtyshye

According to the materials of multiyear studies, the author estimates the ecological status of forest lakes in the Omsk Priirtyshye with respect to the phytoplankton development indicators. The species composition, structure, and floristic similarity degree of the phytoplankton of polytypic forest lakes are described. The author also determines the trophic status and water quality of these lakes. It is found that excessive recreation has a negative impact on the ecological status of the lakes.     

吉林东部天然林林下光质分布特征

天然林林下光质对乔木幼苗以及灌草的组成与更新具有重要的生态学意义。但目前对于林下光质的研究仍然有限。以吉林东部地区天然林为例,通过调查乔木数据和林下光质数据,基于移动窗口法分析不同空间尺度森林冠层结构与林下光质的关系。结果表明：不同林型下红光光子通量密度(R)与蓝光光子通量密度(B)存在差异。其中沙松-千金榆-花楷槭混交林林下蓝光光子通量密度最小,而沙松-紫椴-臭冷杉混交林和长白落叶松纯林林下最大。随着尺度的增大,天然林乔木胸高断面积与R/PFD(红光/光子通量密度比值)和B/PFD(蓝光/光子通量密度比值)的比值呈显著正相关(P<0.05)。并且随着尺度的增加,相关系数总体逐渐增大,在35m处达到峰值。在此基础上在南向、东向和西向各延伸10m时呈现显著正相关(P<0.05)。在该尺度下分析优势树种对林下R/PFD和B/PFD比值的影响时发现：R/PFD与B/PFD比值随着针叶林胸高断面积的增加而增加。相对于阔叶林来说,多数林型针叶林下的冠层结构与林下R/PFD和B/PFD比值之间显著正相关(P<0.05)。在不同树种下,乔木冠层结构对R/PFD和B/PFD比值的影响...     

省域森林生态安全评价——基于5省的经验数据

生态安全是国家安全体系的重要组成部分。面对严峻的生态环境形势,以及大气污染、水污染、土壤污染等严重的生态环境问题,改善生态环境的需求和呼声越来越迫切。作为陆地生态系统的主体和重要资源,森林是人类生存发展的重要生态保障,森林关系国家生态安全。基于森林生态系统与自然、人类社会系统的交互关系,从森林资源状况、地理气候条件、地区社会经济压力、人类管护响应状况四个方面构建省域森林生态安全评价指标体系,并建立森林生态安全指数模型。选取我国五个具有代表性的省份:贵州、湖北、浙江、吉林、青海作为试点省份,对其2004—2014年的森林生态安全状况进行评价和对比。结果表明:影响森林生态安全状况的最主要因素是森林资源类因子,在研究期内,5省森林生态安全状况大体上处于改善状态,但省与省之间森林生态安全状况差异显著,吉林省在研究期内森林生态安全整体状况最好,青海省森林生态安全状况较脆弱。在发展经济的同时,应该加强造林,重视对森林资源的管护,尤其要注意对天然林的保护,维护森林生态安全。     

Quantifying Tropical Dry Forest Type and Succession: Substantial Improvement with LiDAR

Improved technologies are needed to advance our knowledge of the biophysical and human factors influencing tropical dry forests, one of the world's most threatened ecosystems. We evaluated the use of light detection and ranging (LiDAR) data to address two major needs in remote sensing of tropical dry forests, i.e., classification of forest types and delineation of forest successional status. We evaluated LiDAR‐derived measures of three‐dimensional canopy structure and subcanopy topography using classification‐tree techniques to separate different dry forest types and successional stages in the Guánica Biosphere Reserve in Puerto Rico. We compared the LiDAR‐based results with classifications made from commonly used remote sensing data, including Landsat satellite imagery and radar‐based topographic data. The accuracy of the LiDAR‐based forest type classification (including native‐ and exotic‐dominated forest classes) was substantially higher than those from previously available data (kappa = 0.90 and 0.63, respectively). The best result was obtained when combining LiDAR‐derived metrics of canopy structure and topography, and adding Landsat spectral data did not improve the classification. For the second objective, we observed that LiDAR‐derived variables of vegetation structure were better predictors of forest successional status (i.e., mid‐secondary, late‐secondary, and primary forests) than was spectral information from Landsat. Importantly, the key LiDAR predictors identified within each classification‐tree model agreed with previous ecological knowledge of these forests. Our study highlights the value of LiDAR remote sensing for assessing tropical dry forests, reinforcing the potential for this novel technology to advance research and management of tropical forests in general.     

退耕还林地结构与生态功能的耦合关系

退耕还林的林地结构与生态功能效益是退耕还林工程的关键性问题。基于典型黄土高原丘陵沟壑地7种代表性的退耕还林模式的野外调查和取样分析结果,选取14个林地结构因子和2个代表性生态功能因子,对林地结构进行因子分析,并构建了林地结构与生态功能的灰色关联度模型和耦合协调度模型。用建立的模型分析吴起县退耕还林地7种模式的林地结构、土壤侵蚀及地表径流数据,结果表明,不同林地结构因子间相关度不同,经过主成分分析降维为4个主成分因子,分别反映了林分的乔木层结构指标、上层结构生物量指标、土壤层指标及其它指标;不同林地结构因子与生态功能的关联度系数不同,林地结构因子对地表径流的影响明显高于对土壤侵蚀率的影响,其中林分组成对径流的影响最明显,土壤因子影响最不明显;草本层生物量、枯落物生物量等近地表的相关结构对土壤侵蚀的作用明显。不同退耕还林模式的林地结构与生态功能的耦合协调度状况都不良好,仍需要进行调整和改善。     

秭归县防护林健康评价指标体系的建立及应用

以秭归县防护林为研究对象,通过传统生态学调查和相关室内分析,在林分水平上建立了包括林分结构、林分功能、生态环境和健康风险4个一级指标、20个二级指标的防护林健康评价指标体系。在综合相关林分健康评价的基础上,制定防护林健康评价指标优劣等级表,采用Delphi-AHP法设置指标权重,利用生态系统健康综合指数模型计算防护林健康指数,分析秭归县防护林健康状况。结果表明:秭归县防护林健康综合指数的范围在0.5000—0.9000之间,健康指数均值为0.6921,秭归县防护林整体处于亚健康状态;9种防护林类型健康状况排序为:阔叶混交林针阔混交林针叶混交林阔叶纯林马尾松纯林柏木纯林其它针叶纯林经济林灌木林,即是混交林纯林经济林灌木林;秭归县防护林健康指数具有空间变异性,在水平方向上,秭归县辖下乡、镇防护林健康指数从南向北有逐渐递减的趋势,在垂直方向上,防护林健康指数随海拔增高逐渐增大,海拔1000 m以上逐渐降低,健康指数表现出随海拔升高由小变大、又由大变小的变化特点。     

应用全天空照片估计林分透光孔隙度(郁闭度)

林分结构通过影响林内环境与生物因子,决定森林生态系统服务功能发挥;同时,通过调整林分结构亦可达到森林合理经营的目标。林分透光孔隙度(郁闭度)是决定林分结构的重要因子之一,它可以用来表征光、水等环境因子通过林冠进入林内的再分布状况。因此,合理、精确地确定林分内的郁闭状况,无论在森林经营与管理,还是在森林生态精细研究中,都显得十分重要。本文在以往研究的基础上,详细介绍了应用全天空照片(Hemispherical photograph/whole sky photograph)确定林分内一定高度(通常为1 m)的林分郁闭度或林分透光孔隙度(两者互补)的方法与步骤,重点讨论了在应用全天空照片确定林分郁闭度/透光孔隙度时选择的有效范围和应注意的实际问题。     

广东南岭天然常绿阔叶林林下光环境对林下幼树功能性状的影响

光环境与幼树功能性状的关系对天然林的更新与演替具有重要的生态学意义。以广东南岭区域天然常绿阔叶林下不同林龄(幼龄林,中龄林,老龄林)的森林群落为研究对象,通过监测冠层结构、林下光照数据和林下幼树功能性状等指标,研究林龄梯度下其冠层结构与林下光环境之间的关系,以及林下幼树功能性状对光环境的响应。结果表明:(1)中龄林叶面积指数显著高于幼龄林和老龄林(P0.05),随着林龄的增长,林冠开度和透光率逐渐下降,林龄梯度下透光率、R/FR(红光/远红光比值)、Bw/Rw(宽带蓝光/宽带红光比值)差异极显著(P0.001);(2)天然常绿阔叶林中透光率与光质之间极显著相关(P0.001),R/FR随着透光率的增加而增加,Bw/Rw随着透光率的增加而减少。(3)林下幼树功能性状在光环境之间差异显著(P0.05),老龄林林下幼树叶片氮含量显著高于幼龄林,而叶片重叠率显著低于幼龄林;(4)在本试验地中,R/FR和Bw/Rw的变化对林下幼树的高径比和光合作用并无显著影响,光强对同种植物不同光环境下最大净光合速率的影响较大。总体而言,林龄梯度冠层结构和光环境的差异能在一定程度上解释幼树功能性状的差异,这将有助于我们理解光环境对林下幼树更新的影响机制,同时为天然植被恢复和森林经营提供指导。     

中西方森林游憩者生态行为影响研究——基于解说驱动机制视角

森林生态系统作为游憩经济系统的基础,保持生态结构完整是森林旅游协调发展的前提,但生态功能的发挥并非为旅游活动自然结果,很大程度有赖于游憩者的环境保护行为。选取加拿大班夫国家公园和中国张家界国家森林公园为问卷调研地,以解说驱动机制视角对森林游憩者生态行为影响进行研究,旨在运用相关分析、结构方程模型实证检验中西方森林游憩者生态行为生成的内在关联。结果表明:形成森林游憩者生态行为的过程逻辑定式为"生态知识-生态体验-生态态度-生态行为";1中西方森林游憩者生态知识、生态体验、生态态度与生态行为均存在正向相关;2森林旅游解说对中西方森林游憩者生态知识、生态体验、生态态度、生态行为均具有正向影响。     

小尺度森林生态功能分区研究——以台湾惠荪林场为例

基于景观生态学中结构与功能相互依存的理念 ,选定小尺度森林为研究对象 ,根据生态系统内部结构特性 ,确立森林生态功能的空间定位 ,以提高森林生态系统的功能与价值。研究首先基于森林生态系统具有生物生产、环境服务及文化支持等基本功能 ,提出上述功能应通过森林生产、教学实习、科学研究、休闲游憩和生态保护等功能区加以体现。后依据研究区环境特征进行影响因子分析 ,结合景观生态与生态规划相关理论 ,构建森林生态功能分区方案。在案例实践中 ,选择台湾惠荪林场进行研究 ,配合研究区现况 ,期望通过功能区与结构的空间调整 ,达到服务功能的优化。     

构建森林生态补偿机制的关键问题

构建森林生态补偿机制的关键问题主要有三个方面:利益相关者的界定、补偿金额的确定及补偿方式。目前存在的较大争议是森林生态效益货币化计量结果与实际补偿额度之间有巨大差异,一方面森林经营者认为补偿额远远不能满足投入需求,应以生态效益产出为补偿金额的计算依据;另一方面,森林生态效益的很大部分来自自然投入,不能以货币化的形势简单计量。森林生态补偿的国际案例表明:世界各国因森林资源产权制度不同,其森林生态补偿机制有所差异,私有林偏重于市场补偿机制,公有林则偏重于政府主导的补偿机制。森林生态补偿资金主要来自森林生态系统服务用户付费、政府代表受益方付费及国际组织捐赠;在补偿方式上,以政府投资为主,以用户付费和基于市场的认证授权交易为辅。借鉴国际经验,结合我国森林生态效益补偿现状,森林经营者是生态系统服务供给方是确定的,而森林生态系统服务获取方的确定则非常困难。因此,政府主导和第三方介入应是解决森林生态补偿资金来源和补偿的主要方式,受损方及其受损成本是森林生态补偿金额的计算依据。     

气候变化、林火和营林措施对寒温带典型森林生态弹性的影响

生态弹性是森林生态系统在遭受外在扰动后恢复到稳定状态的能力,是森林资源可持续发展的重要目标之一,且森林生态弹性对诸如气候变化、林火和营林措施等外部因子的影响较为敏感.探究这些外部因子对森林生态弹性的影响在未来森林生态系统管理方面有重要意义.本研究首先从森林组成、结构和功能等方面选取指标因子并估算了森林生态弹性值,然后运用LANDIS PRO模型,模拟气候变化、林火干扰和营林措施等对寒温带典型森林生态弹性的影响,并探讨了当前抚育采伐方案在未来气候下的可持续性.结果表明: 模型初始化的2000年林分密度和胸高断面积与2000年真实景观较为吻合,模拟的2010年森林景观与野外调查数据无明显差异,基于当前林火干扰状况的模拟结果与火烧迹地调查数据基本匹配,说明林火模块能很好地模拟当前研究区林火发生状况.林火干扰增加30%将会使该区模拟期内景观水平上森林生态弹性提高15.7%～40.8%,而林火干扰增加200%则会降低该区4.4%～24.6%的森林生态弹性.短期和中期林火干扰增加对森林生态弹性的影响大于气候变化的影响.与当前预案相比,B1气候(林火增加30%预案)和A2气候(林火增加200%预案)对整个模拟阶段景观尺度森林生态弹性的影响分别处于-15.9%～38.9%和-60.4%～34.8%范围内.与无采伐预案相比,B1和A2气候下在整个模拟时期内若继续实施当前抚育采伐方案,将不利于景观水平森林生态弹性的提高.在B1气候(林火增加30%预案)下,在各模拟时期内无需实施任何营林措施;而在A2气候(林火增加200%预案)下,建议实施中、高强度种植的营林措施以提升景观水平森林生态弹性.     

Is the degree of clonality of forest herbs dependent on gap age? Using fingerprinting approaches to assess optimum successional stages for montane forest herbs

Using molecular fingerprinting (amplified fragment length polymorphism [AFLP] method), we explored the potential of small-scale population analysis for understanding colonization patterns of herb layer species in forests after canopy disturbance. We investigated three common forest understorey species with different life forms (Trientalis europaea, Calamagrostis villosa, and Vaccinium myrtillus) in the Harz Mountains in Germany in three different gap age classes and undisturbed forest. For two of them (T. europaea and C. villosa), we analyzed clone sizes and clonal structure. We hypothesized that clone sizes depend on age since gap formation and are affected by light availability. Mean patch sizes of V. myrtillus, T. europaea, and C. villosa formed were 3.7 m(2), 27.9 m(2), and 40.6 m(2), respectively. Trientalis europaea and C. villosa patches consisted mostly of more than one genet. Largest clone sizes of T. europaea were encountered in gaps of intermediate successional age (15-60 years, averaged minimum estimation of clone sizes: 6.56 m(2)) whereas clone size of C. villosa was found to be independent from gap age and had a mean minimum clone size of 0.49 m(2). In both species, clone size was positively related to light availability. Additionally, there was a positive relationship between clone size and ramet density for T. europaea and C. villosa. Genetic variation was higher within populations of T. europaea and C. villosa than among populations. Trientalis europaea was the only species with a clear genetic isolation by distance, pointing at an equilibrium between gene flow and genetic drift. In conclusion, we showed that forest canopy gap dynamics clearly affect the small-scale structure of populations of understorey plants. Species with high lateral growth rates, such as T. europaea offer the possibility to serve as "ecological clock" for dating ecological processes.     

Phylogenetic structure of angiosperm communities during tropical forest succession

The phylogenetic structure of ecological communities can shed light on assembly processes, but the focus of phylogenetic structure research thus far has been on mature ecosystems. Here, I present the first investigation of phylogenetic community structure during succession. In a replicated chronosequence of 30 sites in northeastern Costa Rica, I found strong phylogenetic overdispersion at multiple scales: species present at local sites were a non-random assemblage, more distantly related than chance would predict. Phylogenetic overdispersion was evident when comparing the species present at each site with the regional species pool, the species pool found in each age category to the regional pool or the species present at each site to the pool of species found in sites of that age category. Comparing stem size classes within each age category, I found that during early succession, phylogenetic overdispersion is strongest in small stems. Overdispersion strengthens and spreads into larger size classes as succession proceeds, corroborating an existing model of forest succession. This study is the first evidence that succession leaves a distinct signature in the phylogenetic structure of communities.     

激光雷达技术在动物生态学领域的研究进展

激光雷达(light detection and ranging, LiDAR)作为一门新兴的主动遥感技术, 近年来由于在提取和反演森林参数水平上不断提高, 被越来越多地应用于动物生态学研究中。本文通过整理和搜集国内外文献, 对激光雷达的技术特点及其在森林参数提取和动物生境上的研究进展进行综述, 指出当前基于LiDAR的森林参数反演算法主要服务于森林资源调查或林学研究, 缺少对动物生态或生理意义相关的参数量化信息。目前该技术在国内的动物生态学方面的应用较少, 尚未见文章发表。通过总结国外学者的研究, 分别从动物生境选择与三维森林结构的关系、栖息地立体生境制图、生物多样性评估和物种分布模型预测三个方面综述了LiDAR在动物生态学研究中的应用现状。相比传统方法, LiDAR技术提供的高精度三维结构信息, 能够显著提高动物生境质量的评估、生物多样性的监测水平和物种分布模型的评价精度, 有利于从机理上加深对物种生境选择和集群过程的理解。但目前LiDAR技术的应用主要集中在对已知的生态关系研究, 尤其是冠层结构与动物分布的关系, 缺少对林下层生活的动物生境质量和生物多样性的监测和评估, 同时很多有关动物生存和繁衍与立体生境的关系研究有待从LiDAR数据中进一步挖掘分析。未来应加强对森林林下层三维信息的提取, 提高林下层动物生境质量和生物多样性的监测水平, 同时建立适用于动物生态和生理意义相关的参数, 为动物生境质量和生物多样性的评估提供标准的量化指标。     

Still a one species genus? Strong genetic diversification in the world’s largest living odonate,the Neotropical damselfly Megaloprepus caerulatus

Mesoamerican biodiversity is increasingly threatened by anthropogenic destruction of natural land cover. Habitat degradation and climate change are primary threats to specialized forest odonate species that are important model organisms for forest health and defining conservation units. The extreme niche specialization of Megaloprepus caerulatus, the world’s largest extant odonate, makes it well suited as an indicator for changing environmental conditions. Megaloprepus, which is considered to be a monospecific genus, is highly dependent on old growth forests whose water filled tree holes are limiting reproductive resources for this species. Here, we focus on the question how historical and recent fragmentation events, strong niche conservatism and ecological conditions have affected population dynamics, viability and the species status in this evolutionarily old genus. Two mitochondrial sequence markers (ND1 and 16S rRNA) and a set of microsatellites were used to analyze population structure and genetic diversity of M. caerulatus in the northern part of its distributional range. Results suggested an absence of gene flow and no shared haplotypes among the study populations. Statistical parsimony indicated high sub-structuring among populations with sequence diversity similar to levels found at the species level compared to other odonates. In sum, the genetic data suggest that Megaloprepus may actually consist of more than one species. The taxonomic status of the group should be revised in light of the three distinct genetic clusters found in different forest regions. The results may also allow insights into the impact of recent and historical habitat fragmentation on a strong Neotropical forest restricted insect species.     

长白山北坡林线灌木草本植物与岳桦的动态关系

本文以长白山北坡林线为研究区,调查125个样方内岳桦种群的径级结构与林线灌草植物的生态重要值。采用常规统计和聚类方法分析岳桦种群与8种常见灌草植物的动态特点,采用典型与单因子相关分析岳桦动态与林线灌草植物的变化关系。结果表明岳桦种群扩张带动林下灌草的相继移动,林线上侵不仅是单一乔木的变化,而是森林群落向苔原群落的入侵,从空间上挤占生态位的过程。另外,这种替代中各个成分变化也存在差异,由于各种植物在群落中的地位和生态竞争力的区别,在替代过程中不同植物变化也具有明显的异步性。     

太白山5种杜鹃属植物叶片光合特性及解剖结构的生态适应性研究

对分布于太白山海拔2 000～3 700 m的5种杜鹃属植物的叶片光合特性和形态解剖结构进行了研究.结果显示:头花杜鹃分布于高山灌丛,光饱和点、光补偿点高,强光适应性好,耐荫性差;爬枇杷分布于3 000～3 400 m的太白红杉林下,光饱和点较低,光补偿点最高,利用强光能力较弱,生态幅较窄;金背杜鹃、药枇杷、秀雅杜鹃分布于2 000～3 200 m的红桦、牛皮桦林下,光补偿点低,耐荫性强,生态幅宽.在形态结构上,5种杜鹃的栅海组织比均远小于1,属耐荫植物.头花杜鹃叶表密被鳞片,栅栏组织发达,通气组织发达;爬枇杷栅栏组织发达,排列紧密;金背杜鹃叶下表皮密被毛,气孔密度最高,海绵组织排列疏松;秀雅杜鹃叶上下表皮密被鳞片;药枇杷的栅栏组织厚度最小,栅海组织比最低.研究表明,5种杜鹃属植物叶片结构特征的形成是对生境条件长期适应的结果.     

Spatial analysis of structural and tree‐ring related parameters in a timberline forest in the Italian Alps

Abstract. We investigated the variability in spatial pattern of some structural, dendrochronological and dendroclimatological features of a mixed Larix decidua‐Pinus cembra forest at the timberline in the eastern Italian Alps at fine geographical and temporal scales. Forest structure variables such as stem diameter, tree height, age and tree‐ring related parameters (yearly growth index, mean sensitivity, first order autocorrelation and some dendroclimatic variables) have been compared at various scale levels. We observed that most of the variables show positive autocorrelated structures due to both forest dynamics and fine‐scale driving forces, probably related to microrelief. Spatial structure of yearly indexed radial growth appears sensitive to extreme climatic events. Secondary succession after past disturbances drives the forest towards a structure governed by a gap regeneration dynamics that seems to ensure the different requirements of the two main tree species present. Small spatial scale studies of forest structures, especially if integrated to dendro‐ecological data, seem an efficient tool to assess the disturbance regime and species sensitivity to environmental change.