金钟山亚热带森林林窗特征与木本植物多样性的关系

开展林窗空间格局与林下木本植物多样性关系的研究,对于认识森林物种共存、生物多样性维持以及生态系统可持续发展具有重要意义。本研究以广西金钟山自然保护区24 hm²永久森林动态监测样地为对象,采用机载激光雷达获取样地点云数据,通过R语言提取林窗并计算各林窗的形状复杂指数,利用相关分析量化林窗特征与林下木本植物多样性的关系。结果表明：该研究区林窗空隙率为6.16%,密度为15.5个·hm^-2,平均面积为39.72 m²,整体以微小和中型林窗为主;林窗空间分布格局存在地形分异特征,多分布于低海拔和缓坡区域;林窗形状复杂指数与香农指数、物种丰富度指数均呈正相关,且在低海拔和陡坡处表现更加明显。本研究揭示了亚热带森林林窗植被更新特征,对区域生物多样性保护具有一定指导作用。     

南亚热带森林种群分布格局取样技术研究

森林群落中植物种群分布格局测定和分析的结果,密切依赖于野外取样的技术手段及资料的可靠性。本文通过鼎湖山自然保护区三个不同森林群落类型的取样,比较了随机样方、相邻格子样方、中心点四分法、最近相邻法和最近个体法在野外操作、数据整理以及种群分布格局测定分析中的效用,对各方法在南亚热带森林群落中进行种群分布格局研究中的适用性予以客观评价。研究表明,同一样地中不同取样方法和测定方法会导致不同结果。随机样方取样数据的测定结果受样方大小影响,而几种无样地方法在种类复杂的群落中,应用受到限制。相邻格子样方适用于各群落类型中种群分布格局的测定与分析。     

中国森林生物多样性监测网络(CForBio):二十年进展与展望

大型森林动态监测样地是研究群落尺度森林动态变化的最优途径之一。中国森林生物多样性监测网络(CForBio)始建于2004年,是全球森林生物多样性监测网络(ForestGEO)最活跃的组成部分之一。CForBio森林动态监测样地一般为20ha,同时建立3–5个1–3ha辅助样地,以统一技术规范对胸径≥1 cm的木本植物进行定位监测,旨在长期监测中国主要森林类型的生物多样性格局与动态,研究其形成和维持机制。本文简要介绍了CForBio的概况、主样地建设、数据共享、能力建设、基于长期监测数据的主要科学发现以及科学支撑和服务,夯实CForBio监测与研究、拓展专题网络并加强能力建设,可为以监测数据为基础的森林生物多样性保护管理决策以及国际履约提供科学依据。     

探讨我国森林野生动物红外相机监测规范

野生动物多样性是生物多样性监测与保护管理评价的关键指标, 因此对野生动物进行长期监测是中国森林生物多样性监测网络(CForBio)等大尺度生物多样性监测研究计划的一个重要组成部分。2011年以来, CForBio网络陆续在多个森林动态监测样地开展以红外相机来监测野生动物多样性。随着我国野生动物红外相机监测网络的初步形成, 亟待建立和执行基于红外相机技术的统一监测规范。基于3年来在我国森林动态监测样地红外相机监测的进展情况, 以及热带生态评价与监测网络针对陆生脊椎动物(兽类和鸟类)所提出的红外相机监测规范, 本文从监测规范和监测注意事项等方面探讨了我国森林野生动物红外相机监测的现状和未来。     

基于地统计学和CFI样地的浙江省森林碳空间分布研究

基于浙江省2009年CFI固定样地数据、森林资源规划设计调查林相图,利用地统计学方法对浙江省森林碳空间分布进行了模拟分析。结果表明,CFI固定样地数据用于省域范围的森林碳汇空间特征研究是合适的。数据显示,浙江森林植被平均碳密度为22.07Mg/hm2;与四川、福建、海南等地相比,平均碳密度较低。受人类活动、自然环境等因素影响,浙江省森林碳分布主要表现为:总体上森林碳密度空间变化趋势自西向东逐渐降低,与自然空间(海拔、地势等)趋势一致。基于地统计学和CFI固定样地,对省域范围的森林资源空间分布的研究,可以为省域森林碳汇管理提供依据,为我国特别是亚热带南方集体林区利用国家CFI数据进行大区域同类研究提供借鉴。     

应用序列指示条件模拟算法模拟森林类型空间分布

森林类型的空间分布是进行森林景观格局研究的基础和先决条件。当前林业实际生产过程中 ,森林分布图的获得要么具有很强的主观性 ,要么受环境因素的制约。空间统计学可以描述事物在空间上的分布特征 ,条件模拟算法是空间统计学中进行空间插值的一种有效手段。森林类型是一个区域化的分类变量 ,在研究区内可能存在森林类型破碎化严重情况 ,为此本文选用分类变量的序列指示条件模拟算法来模拟森林类型的空间分布。文中介绍了序列指示条件模拟算法的原理、计算步骤、优点及适用性 ,以东北汪清林业局局级样地为材料 ,应用序列指示条件模拟算法对汪清林业局森林类型空间分布进行模拟 ,模拟结果与森林经理调查得到的森林分布图相比较 ,模拟精度达到 73.80 %。精度分析结果表明 ,以样地为材料 ,应用序列指示条件模拟算法 ,可以作为获得森林类型分布图的一个有效途径     

基于局域统计量的黑龙江省多尺度森林碳储量空间分布变化

基于黑龙江省一类样地和生态公益林监测样地(共4163块)数据,应用局域Moran I及局域统计量(局域均值及局域标准差)检验4个尺度(25、50、100和150 km)下黑龙江省森林碳储量的空间分布模式、空间变异和空间相关性,并研究了2005和2010年森林碳储量的变化.结果表明: 黑龙江省森林碳储量空间分布存在显著空间正相关,森林碳储量均为相似的变化,而且都不是空间随机发生的;研究区森林碳储量受周围环境因子影响,空间分布存在异质性,且变异较大.2005—2010年,年均森林碳储量空间分布变化存在较大差异,呈增长趋势.局域统计量是描述森林碳储量随着空间和时间变化的有效方法,可以通过ArcGIS使结果可视化.     

中国森林生物多样性监测网络: 二十年群落构建机制探索的回顾与展望

中国森林生物多样性监测网络(CForBio)目前已经沿纬度梯度从寒温带到热带布设23个大型森林动态样地, 监测1,893种木本植物, 代表我国木本植物种类的近1/6。CForBio的主要目标之一是研究森林群落的构建机制。本文综述了近20年来CForBio在群落构建机制探索方面取得的进展, 包括生物多样性时空格局、生境过滤、生物相互作用、局域扩散和区域因素以及利用新技术取得的新认知等。CForBio研究发现: (1)生境过滤和扩散限制共同决定种-面积关系及β多样性等多样性格局, 但二者的相对作用在不同样地及不同尺度存在差异; (2)生境过滤对局域群落构建的作用广泛存在, 但很难量化其对群落构建的重要性; (3)同种负密度制约在不同气候带样地普遍存在, 负密度制约的强度主要由植物菌根类型介导, 并随植物生活史类型、功能性状及环境变化而变化; (4)扩散限制在局域群落构建中发挥关键作用, 而区域因素如区域地质历史、区域物种库大小等塑造不同生物地理区群落之间的生物多样性差异; (5)宏观和微观两个方面的新技术促进群落构建机制的研究。在宏观方面, 遥感技术以低成本使大范围、多尺度的连续群落生物多样性监测和时空比较研究成为可能; 另一方面, 叶绿体基因技术和代谢组学等微观技术能促进推导群落构建的分子机制。同时, 本文还总结了以往研究的不足, 并展望了基于森林动态样地开展群落构建机制研究的未来发展, 特别强调了: (1)关注群落构建研究中的尺度问题; (2)深入开展多维度(物种、功能和系统发育)、多营养级生物互作相关的研究; (3)拓展全球变化对群落构建影响的研究; (4)融合观测-实验-模型多种手段开展群落构建机制的研究; (5)连结“群落构建理论研究”和“森林管理实践”。总之, 中国森林生物多样性监测网络的长期监测和联网研究是森林群落构建机制研究的重要基础, 也是推动群落构建理论、解决森林管理难题的重要平台。     

基于森林资源清查、卫星影像数据与随机协同模拟尺度转换方法的森林碳制图

当前,全球变暖对地球生态系统的影响正引起世界的广泛关注.为减缓其影响进程,让决策者获得准确的碳源/碳汇空间分布信息与动态至关重要.目前面临的重大挑战是如何准确估计森林碳的空间分布和分析估计结果的不确定性.本研究基于森林资源连续清查样地数据和遥感影像数据发展了一个森林碳制图的一般方法.基于序列高斯协同模拟算法,结合样地数据与卫星影像数据进行模拟,将森林碳汇分布图的尺度从30 m×30 m转换到900m×900m(区域、国家和全球森林碳制图单位大小).以临安市为例,利用全市2004年森林资源清查样地数据和同年度Landsat TM影像数据,进行研究区森林碳(地上部分)模拟和尺度转换.结果显示,方法准确重现了森林碳空间分布和变异规律,在分布上模拟结果与地面样地属性具有较好的一致性,在数量上模拟结果的总体平均值较地面样地的总体平均值低约24.9%;模拟还提供了其估计结果的不确定性, 包括估计值的方差和估计值大于一定阈值的概率,这些可用于不确定性传播模型的模拟分析,进而实现对森林碳估计结果的评价.     

我国森林动态监测样地的野生动物红外相机监测

<正>自2004年以来的10年中,中国森林生物多样性监测网络(Chinese Forest Biodiversity Monitoring Network,CForBio)参照世界热带森林研究中心(Center for Tropical Forest Science,CTFS)的监测规范和标准在全国陆续建立了至少12个森林动态监测样地(www.cfbiodiv.org/)。这些样地涵盖了我国不同纬度带的主要森林植被类型,已成为我国生物多样性长期监测与研究的重要平台。野生动物多样性是各个样地的重要监测内容,2009–2013年陆续有7个样地采用红外相机技术来监测兽类和地面活动鸟类的多样性。本专辑内以"森林动态监测样地"专题来     

世界热带森林生态系统大样地定位研究进展

热带森林是世界上生物多样性最为丰富的生态系统,但人们对此却知之甚少.为了更好地了解和合理利用热带森林,美国的史密斯桑尼亚热带研究所成立了热带森林研究中心,中心联合世界各国科学家和科研机构,通过建立热带森林动态监测的大样地网络来从事热带森林的科学研究.从该中心于1980年在巴拿马Barro ColoradoIsland(BCI)建立第一个50 hm2的大样地以来,现加入该中心的森林大样地有3个洲的18个样地,共监测了全球已知热带树种的10%的物种,约6 000个物种的300万植株.2004年在中国云南的西双版纳开始筹建我国第一个热带森林大样地的定位研究站.本文从全球范围内热带森林生态系统定位研究的大样地建立的意义出发,论述了热带森林大样地的研究方法及研究进展以及我国热带森林大样地的建立和研究进展.     

Macroecology of Australian Tall Eucalypt Forests: Baseline Data from a Continental-Scale Permanent Plot Network

Tracking the response of forest ecosystems to climate change demands large (≥1 ha) monitoring plots that are repeatedly measured over long time frames and arranged across macro-ecological gradients. Continental scale networks of permanent forest plots have identified links between climate and carbon fluxes by monitoring trends in tree growth, mortality and recruitment. The relationship between tree growth and climate in Australia has been recently articulated through analysis of data from smaller forest plots, but conclusions were limited by (a) absence of data on recruitment and mortality, (b) exclusion of non-eucalypt species, and (c) lack of knowledge of stand age or disturbance histories. To remedy these gaps we established the Ausplots Forest Monitoring Network: a continental scale network of 48 1 ha permanent plots in highly productive tall eucalypt forests in the mature growth stage. These plots are distributed across cool temperate, Mediterranean, subtropical and tropical climates (mean annual precipitation 850 to 1900 mm per year; mean annual temperature 6 to 21°C). Aboveground carbon stocks (AGC) in these forests are dominated by eucalypts (90% of AGC) whilst non-eucalypts in the understorey dominated species diversity and tree abundance (84% of species; 60% of stems). Aboveground carbon stocks were negatively related to mean annual temperature, with forests at the warm end of the temperature range storing approximately half the amount of carbon as forests at the cool end of the temperature range. This may reflect thermal constraints on tree growth detected through other plot networks and physiological studies. Through common protocols and careful sampling design, the Ausplots Forest Monitoring Network will facilitate the integration of tall eucalypt forests into established global forest monitoring initiatives. In the context of projections of rapidly warming and drying climates in Australia, this plot network will enable detection of links between climate and growth, mortality and carbon dynamics of eucalypt forests.     

Assessing the Representativeness of the Oldest Permanent Inventory Plots in Northern Arizona Ponderosa Pine Forests

A network of permanent plots established between 1909 and 1913 (the Woolsey plots) contains the oldest measured data in northern Arizona ponderosa pine forests. These forest inventory data offer a unique opportunity to reconstruct pre-settlement reference conditions, as well as detect and quantify changes in southwestern forest structure and composition. However, the selection of plot locations in the early 1900s followed a subjective nonrandom approach. To assess the applicability, or inference space, of results obtained from these historical plots, we compared their environmental characteristics (terrestrial ecosystem unit [TEU, based on a U.S. Forest Service (USFS) ecological classification system], site index, elevation, insolation index, and soil parent material) as well as contemporary forest structure (trees per hectare, basal area, and quadratic mean diameter) with two large inventory samples: USFS Forest Inventory and Analysis (FSFIA) and Arizona State Land Department Continuous Forest Inventory (AZCFI). Analytical methods included multivariate permutation tests, ratios of variance, and Kolmogorov–Smirnov two-sample tests. Results indicated that the Woolsey plots (1) were neither historically nor contemporarily representative of the entire study area because of environmental and current forest structural differences with respect to the FSFIA and AZCFI and (2) may be considered historically representative of their corresponding TEUs. Our study supports the use of TEUs for defining the applicability of information obtained from the Woolsey plots.     

长白山阔叶红松林样地(CBS)：群落组成与结构

 阔叶红松(Pinus koraiensis)林是中国东北地区的地带性植被,长白山区是阔叶红松林的核心分布区。参照巴拿马Barro Colorado Island (BCI) 50 hm² 热带雨林样地的技术规范,于2004年在长白山自然保护区的阔叶红松林内建立了一块25 hm²的固定样地（简称CBS）,这是目前中国科学院生物多样性委员会中国森林多样性动态研究网络中最北端的一块,也是全球温带地区最大的一块森林样地。2004年夏的第一次调查结果表明,样地内胸径≥1 cm的木本植物有52种,隶属于18科32属。总的独立个体数为38 902,包括分枝的总个体数为59 121。植物组成上属典型的长白山植物区系,同时混有一些亚热带和亚寒带成分。群落优势种明显,个体数最多的前3个种的个体数占到总个体数的60%,前14个种占到95%,而其余38个种只占到5 %。从物种多度、 胸高断面积、平均胸径和重要值来看,群落成层现象显著,具有比较明显的优势种。主要树种的径级结构近似于正态分布或双峰分布,而次林层和林下层树种则表现出倒 “J" 形或 “L"形。红松、紫椴(Tilia amurensis)、蒙古栎(Quercus mongolica)、 水曲柳(Fraxinus mandshurica)、色木槭(Acer mono)和春榆(Ulmus japonica )几个主要树种的空间分布随物种、径级的变化表现出不同的分布格局,其它一些树种的分布格局也表现出一定的空间异质性。     

Structure and dynamics in seasonal dry evergreen forest in northeastern Thailand

Abstract. Studies of tropical forest dynamics have often been based on one large-scale permanent plot, representative of a given forest type. Broad classifications of tropical forest types are expected to include a wide range of stand structures, dynamics patterns and species compositions – a range which cannot be represented in a single plot. To demonstrate this problem two 1-ha permanent plots, dominated by Hopea ferrea and Shorea henryana (both Dipterocarpaceae), respectively, were established in 1987 in seasonal dry evergreen forest at the Sakaerat Environmental Research Station in northeastern Thailand. In 1997 the plots were remeasured as to patterns of recruitment, mortality and growth. The Hopea plot was relatively static with low mortality, recruitment and growth. The Shorea plot was very dynamic with high rates of growth, mortality and recruitment. If the current trends continue, the plots are likely to further diverge. Even if the study of a large forest plot provides a good insight into tropical forest dynamics, it is necessary to consider the entire local pattern of variation.     

Quantifying variation in forest disturbance,and its effects on aboveground biomass dynamics,across the eastern United States

The role of tree mortality in the global carbon balance is complicated by strong spatial and temporal heterogeneity that arises from the stochastic nature of carbon loss through disturbance. Characterizing spatio‐temporal variation in mortality (including disturbance) and its effects on forest and carbon dynamics is thus essential to understanding the current global forest carbon sink, and to predicting how it will change in future. We analyzed forest inventory data from the eastern United States to estimate plot‐level variation in mortality (relative to a long‐term background rate for individual trees) for nine distinct forest regions. Disturbances that produced at least a fourfold increase in tree mortality over an approximately 5 year interval were observed in 1–5% of plots in each forest region. The frequency of disturbance was lowest in the northeast, and increased southwards along the Atlantic and Gulf coasts as fire and hurricane disturbances became progressively more common. Across the central and northern parts of the region, natural disturbances appeared to reflect a diffuse combination of wind, insects, disease, and ice storms. By linking estimated covariation in tree growth and mortality over time with a data‐constrained forest dynamics model, we simulated the implications of stochastic variation in mortality for long‐term aboveground biomass changes across the eastern United States. A geographic gradient in disturbance frequency induced notable differences in biomass dynamics between the least‐ and most‐disturbed regions, with variation in mortality causing the latter to undergo considerably stronger fluctuations in aboveground stand biomass over time. Moreover, regional simulations showed that a given long‐term increase in mean mortality rates would support greater aboveground biomass when expressed through disturbance effects compared with background mortality, particularly for early‐successional species. The effects of increased tree mortality on carbon stocks and forest composition may thus depend partly on whether future mortality increases are chronic or episodic in nature.     

中国科学院清原森林生态系统观测研究站塔群平台的功能和应用

森林生态系统结构与生态服务功能关系是森林生态学和林学的永恒研究主题。受传统森林调查方法及技术手段的限制,对复杂地形下森林生态系统结构和功能的监测及二者关系的研究面临诸多挑战。在中国科学院野外站网络重点科技基础设施建设项目的支持下,中国科学院清原森林生态系统观测研究站在独立流域内建成了以观测塔群(三座观测塔覆盖各自子流域代表性森林类型)为主体,集激光雷达(LiDAR)、通量仪器、水文站网、固定标准地和数据中心为综合体的“次生林生态系统塔群激光雷达监测平台”(简称塔群平台)。塔群平台采用激光雷达扫描获取森林点云数据,描述森林生态系统的全息三维结构;依托独立流域/子流域内的通量监测系统、水文监测站网和通量源区内的长期固定标准地,可保证碳-水过程观测的可靠性,并用于验证复杂地形下的通量监测技术与方法,揭示森林生态水文与碳交换过程,准确估算森林生态系统主体生态服务功能(水源涵养和固碳)。所有“塔-站”数据通过无线网络实时汇集于数据中心,便于数据监视、管理与共享。此外,塔群平台将侧重研究森林生态系统结构量化的新方法和新指标,探索复杂地形森林生态系统中H₂O/CO₂/痕量气体通量观测的理论与方法,为阐明森林结构与功能的关系、服务于森林生态系统管理提供基础数据。     

The Tropical managed Forests Observatory: a research network addressing the future of tropical logged forests

While attention on logging in the tropics has been increasing, studies on the long-term effects of silviculture on forest dynamics and ecology remain scare and spatially limited. Indeed, most of our knowledge on tropical forests arises from studies carried out in undisturbed tropical forests. This bias is problematic given that logged and disturbed tropical forests are now covering a larger area than the so-called primary forests. A new network of permanent sample plots in logged forests, the Tropical managed Forests Observatory (TmFO), aims to fill this gap by providing unprecedented opportunities to examine long-term data on the resilience of logged tropical forests at regional and global scales. TmFO currently includes 24 experimental sites distributed across three tropical regions, with a total of 490 permanent plots and 921 ha of forest inventories.     

Climate Change Could Negate Positive Tree Diversity Effects on Forest Productivity: A Study Across Five Climate Types in Spain and Canada

A positive relationship between tree diversity and forest productivity is reported for many forested biomes of the world. However, whether tree diversity is able to increase the stability of forest growth to changes in climate is still an open question. We addressed this question using 36,378 permanent forest plots from National Forest Inventories of Spain and Québec (Eastern Canada), covering five of the most important climate types where forests grow on Earth and a large temperature and precipitation gradient. The plots were used to compute forest productivity (aboveground woody biomass increment) and functional diversity (based on the functional traits of species). Divergence from normal levels of precipitation (dryer or wetter than 30-year means) and temperature (warmer or colder) were computed for each plot from monthly temperature and precipitation means. Other expected drivers of forest growth were also included. Our results show a significant impact of climate divergences on forest productivity, but not always in the expected direction. Furthermore, although functional trait diversity had a general positive impact on forest productivity under normal conditions, this effect was not maintained in stands having suffered from temperature divergence (i.e., warmer conditions). Contrary to our expectations, we found that tree diversity did not result in more stable forest’s growth conditions during changes in climate. These results could have important implications for the future dynamics and management of mixed forests worldwide under climate change.