黑龙江省不同地点蒙古栎林生态特点研究

通过对黑龙江省６个地点的天然蒙古栎林的结构和更新特点的分析,蒙古栎林可划分为不同特点的蒙古栎群落,即纯蒙古栎群落、蒙古栎桦树群落、蒙古栎槭树群落、蒙古栎红松群落和蒙古栎松混交林群落,其演替趋势如下：红蒙古栎群落、蒙古栎桦树群落至蒙古栎槭树落、蒙古栎红松群落,再至蒙古栎红松混交林群落,蒙古栎群落类型的多样性主要反应群落不同的演替阶段,造成蒙古栎群落多样的原因是人类活动和自然因素作用的结果,随着群落的演替,蒙古栎的优势地位逐渐被消弱,乔木种类丰富度增多,草本种类丰富度增多;蒙栎的相对密度下降,林内环境由于干燥逐渐变中性至较湿润,蒙古栎幼苗和幼树在总幼苗和幼树中所占的比例下降,耐荫物中色木槭等的幼苗和幼树所占比例上升;在演替过程中,蒙古栎分布格局－聚集分布的聚集程度逐渐降低,并向随机分布的方向发展。     

陕西子午岭生态因素对植物群落的影响

为探讨生境对植被格局分布的影响,对黄土高原马栏林区60块样地进行植被学调查的基础上,采用17个环境指标刻画植物群落的空间位置、地形和土壤特征;利用双向指示种分析(TWINSPAN)划分了该区不同演替阶段的植物群落类型;利用前向选择法(forward selection)及Monte Carlo检验对不同演替阶段植物群落物种组成影响显著(p＜0.05)的环境因子进行筛选;利用去势典范对应分析(DCCA)排序方法分析不同演替阶段植物群落分布格局与环境的关系;利用偏典范对应分析(partial CCA)定量分离环境、空间及其交互作用对植被格局总体变异的影响.结果表明:(1)马栏林区的植物群落可划分为13个类型,分别属于4个不同的演替阶段;(2)对演替初期阶段群落影响显著的环境因子是土壤含盐量和碱解氮,对演替过渡阶段群落影响显著的环境因子是海拔和腐殖质厚度,对演替亚顶级阶段群落影响显著的因子是海拔、坡向、枯落物厚度、腐殖质厚度和pH值,而对演替顶级阶段群落分异影响显著的因子是海拔、坡向、pH值和速效磷;(3)不同演替阶段群落的生态学特性和分布规律与环境空间的生态梯度格局吻合较好;(4)随着演替的进行,环境因子单独对植物群落的影响越来越大,而样地位置单独作用和样地位置与环境因子的交互作用之和越来越小.     

蒙古栎伴生种及邻体物种多样性的研究

采用点样地法对四个地点蒙古栎树种的邻体多样性进行了研究,结果表明,随着调查样点数的增加,蒙古栎邻体的物种丰富度和Shannon -Wiener(H′）物种多样性指数逐渐增加,最后趋于一固定值。用物种共同出现百分率测定了蒙古栎与其伴生种的种间联结值（PC值）,并引入LS值来测定单株蒙古栎相邻物种的平均个体数目,结果发现,不同地点蒙古栎邻体多样性不同,其相邻乔木和灌木种类也有较大差异,联结系数各有高低,比较PC值的大小,得出了蒙古栎的主要伴生乔木和主要伴生灌木物种（结构和组成）。物种（乔木和灌木）与蒙古栎伴生的原因主要是相似的环境需求和互惠互利,说明蒙古栎处在不同的群落演替阶段。     

东北南部蒙古栎径向生长对气候变化的响应——以千山为例

蒙古栎是东北森林中最重要的阔叶树种之一.本研究利用树木年代学方法研究中国东北南部千山地区蒙古栎的径向变化,结合1951—2010年的温度和降水等气象数据,利用相关函数分析了树木生长与气候变化的关系,揭示蒙古栎径向生长对气候响应规律.结果表明：研究区4—7月的降水量与蒙古栎年轮宽度呈显著正相关,是限制该地区蒙古栎径向生长的主要限制因子;5月极端最高温度与蒙古栎年轮宽度呈显著负相关,也是影响蒙古栎生长的关键因素.研究期间,蒙古栎年轮宽度与4月降水量的相关显著且稳定,自20世纪80年代开始蒙古栎径向生长对夏季温度的响应敏感性逐渐减弱,对温度的响应表现出从响应夏季温度向响应春季温度的转变.     

东北南部蒙古栎径向生长对气候变化的响应——以千山为例

蒙古栎是东北森林中最重要的阔叶树种之一.本研究利用树木年代学方法研究中国东北南部千山地区蒙古栎的径向变化,结合1951—2010年的温度和降水等气象数据,利用相关函数分析了树木生长与气候变化的关系,揭示蒙古栎径向生长对气候响应规律.结果表明:研究区4—7月的降水量与蒙古栎年轮宽度呈显著正相关,是限制该地区蒙古栎径向生长的主要限制因子;5月极端最高温度与蒙古栎年轮宽度呈显著负相关,也是影响蒙古栎生长的关键因素.研究期间,蒙古栎年轮宽度与4月降水量的相关显著且稳定,自20世纪80年代开始蒙古栎径向生长对夏季温度的响应敏感性逐渐减弱,对温度的响应表现出从响应夏季温度向响应春季温度的转变.     

黑龙江省大兴安岭林区火烧迹地森林更新及其影响因子

林火干扰是大兴安岭森林更新的影响因子之一,研究火烧迹地森林更新的影响因子(立地条件、火前植被、火干扰特征)对理解生态系统的结构、功能和火后演替轨迹具有重要意义。选取呼中及新林林业局55个代表性火烧样地,利用增强回归树分析法分析了火烧迹地森林更新的影响因素。结果表明:(1)立地条件是影响针、阔叶树更新苗密度的主要因素;海拔对针叶树更新苗密度的影响最大;坡度对阔叶树更新苗密度影响最大;(2)距上次火烧时间对针叶树更新苗比重影响最大,其次是林型;(3)中度林火干扰后森林更新状况好于轻度和重度火烧迹地。根据火烧迹地森林更新调查分析可知:林型影响火后演替模式,火前为针叶树或阔叶树纯林,火后易发生自我更新(火后树种更新组成与火前林型相同),而针阔混交林在火干扰影响下易于发生序列演替(火后初期以早期演替树种更新为主)。     

樟子松、油松、蒙古栎水分利用效率种间变化及其对环境因子的响应差异

以碳同位素值(δ~(13)C)作为反映植物水分利用效率的指标,对辽宁地区3种典型林型—樟子松人工林(Pinus sylvestris var.mongolica)、油松人工林(Pinus tabulaeformis)和蒙古栎天然林(Quercus mongolica Fischer ex Ledebour)进行调查并分别对樟子松、油松和蒙古栎进行样品采集,探讨其水分利用效率之间的差异特征及其对年均降水量、年均大气温度和海拔高度变化的响应。樟子松、油松和蒙古栎δ~(13)C值变化范围分别为-30.37‰~-25.10‰、-30.32‰~-24.07‰和-29.85‰~-23.51‰,且随经度的增加显著降低;统计分析也表明,樟子松、油松和蒙古栎δ~(13)C值在辽西显著高于辽东,说明3种树种水分利用效率在辽西较高。进一步分析发现,3种树种叶片δ~(13)C值受年均降水量和海拔的影响较大,均随年均降水量增加显著降低,随海拔的升高显著增大,而受温度的影响较小;其中,又以樟子松的水分利用效率受海拔的影响较大(P0.01);与蒙古栎相比,樟子松和油松受降水量的影响更加明显。综上所述,3种树种叶片δ~(13)C值以及由其衍生来的水分利用效率之间种间差异较小,而受环境因子及地理学指标降雨、海拔和经度的影响较大,这为今后基于δ~(13)C值的水分利用效率进一步科学研究奠定了基础。     

不同地点蒙古栎群落相似性的研究

通过13个地点蒙古栎群落物种相似性与两地之间距离的回归比较,发现蒙古栎群落物种相似性的大小一般决定于不同地点之间的地理位置,两地之间距离越近,其相似性越高,反之则越低,但是群落不同的演替阶段也影响群落的相似性。通过分析蒙古栎群落物种组成的差异及物种相似性系数的比较,蒙古栎群落可分为大兴安岭蒙古栎群落、长白山蒙古栎群落、辽西蒙古栎群落和辽冀蒙古栎群落等几种类型。     

不同地点蒙古栎群落相似性的研究①

通过13个地点蒙古栎群落物种相似性与两地之间距离的回归比较,发现蒙古栎群落物种相似性的大小一般决定于不同地点之间的地理位置,两地之间距离越近,其相似性越高,反之则越低,但是群落不同的演替阶段也影响群落的相似性.通过分析蒙古栎群落物种组成的差异及物种相似性系数的比较,蒙古栎群落可分为大兴安岭蒙古栎群落、长白山蒙古栎群落、辽西蒙古栎群落和辽冀蒙古栎群落等几种类型.     

不同地点蒙古栎群落相似性的研究

通过１３个地点蒙古栎群落物种相似性与两地之间距离的回归比较,发现蒙古栎群落物种相似性的大小一般决定于不同地点之间的地理位置,两地之间距离越近,其相似性越高,反之则越低,但是群落不同的演替阶段也影响群落的相似性。通过分析蒙古栎群落物种组成的差异及物种相似性系数的比较,蒙古栎群落可分为大兴安岭蒙古栎群落、长白山蒙古栎群落、辽西蒙古栎群落和辽冀蒙古栎群落等几种类型。     

Carbon Storages in Plantation Ecosystems in Sand Source Areas of North Beijing,China

Afforestation is a mitigation option to reduce the increased atmospheric carbon dioxide levels as well as the predicted high possibility of climate change. In this paper, vegetation survey data, statistical database, National Forest Resource Inventory database, and allometric equations were used to estimate carbon density (carbon mass per hectare) and carbon storage, and identify the size and spatial distribution of forest carbon sinks in plantation ecosystems in sand source areas of north Beijing, China. From 2001 to the end of 2010, the forest areas increased more than 2.3 million ha, and total carbon storage in forest ecosystems was 173.02 Tg C, of which 82.80 percent was contained in soil in the top 0–100 cm layer. Younger forests have a large potential for enhancing carbon sequestration in terrestrial ecosystems than older ones. Regarding future afforestation efforts, it will be more effective to increase forest area and vegetation carbon density through selection of appropriate tree species and stand structure according to local climate and soil conditions, and application of proper forest management including land-shaping, artificial tending and fencing plantations. It would be also important to protect the organic carbon in surface soils during forest management.     

陆地生态系统碳平衡主要研究方法评述

陆地生态系统碳平衡是全球变化科学中的核心问题之一,目前也是生态科学中的前沿与热点问题,而陆地生态系统的复杂性与不确定性决定了对陆地生态系统碳平衡估测的复杂性和不确定性。为研究这一复杂性问题,已发展了许多研究方法。可分为“自下而上”与“自上而下”两种,各种方法都有其自身的优势和劣势。相关方向也已经有了大量的研究报道,但是,不同的研究由于在方法、时间与空间尺度等存在的差异,使得许多研究结果和预测很难被有效的整合或适用于大范围甚至全球水平。综述了陆地碳平衡的主要研究方法,分析和比较了各方法的特点,指出在研究中对不同方法的结果进行分析和比较,以及采用综合方法的必要性。     

Analysis on carbon stock distribution patterns of forest ecosystems in Shaanxi Province

 为明晰陕西省森林生态系统碳储量分布格局, 基于2009年森林资源清查资料和2011年调查所得样地实测数据, 对陕西省森林生态系统碳储量、碳密度及其空间分布特征进行了研究分析。结果表明: 陕西省森林生态系统总碳储量为790.75 Tg, 土壤层、植被层和枯落物层碳储量分别占总碳储量的72.14%、26.52%和1.34%; 其中, 栎类碳储量在各森林类型中所占比重最大(44.17%), 中、幼龄林是陕西省森林生态系统碳储量的主要贡献者, 约占总碳储量的49%。陕西省森林生态系统平均碳密度为123.70 t·hm^–2, 土壤层最大, 枯落物层最小, 植被层居中; 碳密度均随龄级增加而升高, 同一龄级表现为天然林高于人工林生态系统。此外, 陕西省森林生态系统碳储量、碳密度分布格局不尽一致, 反映了森林覆盖面积及森林质量对碳储量的影响。未来应加强林地抚育管理水平, 增加造林再造林面积以增加碳储存, 应对全球气候变化。     

Impacts of biogenic CO2 emissions on human health and terrestrial ecosystems: the case of increased wood extraction for bioenergy production on a global scale

Biofuels are a potentially important source of energy for our society. Common practice in life cycle assessment (LCA) of bioenergy has been to assume that any carbon dioxide (CO₂) emission related to biomass combustion equals the amount absorbed in biomass, thus assuming no climate change impacts. Recent developments show the significance of contributions of biogenic CO₂ emissions during the time they stay in the atmosphere. The goal of this article is to develop a global, spatially explicit method to quantify the potential impact on human health and terrestrial ecosystems of biogenic carbon emissions coming from forest wood extraction for biofuel production. For this purpose, changes in aboveground carbon stock (ΔC_forest) due to an increase in wood extraction via changes in rotation time are simulated worldwide with a 0.5° × 0.5° grid resolution. Our results show that both impacts and benefits can be obtained. When the extraction increase is reached by creating a longer rotation time, new growth is allowed resulting in carbon benefits. In a case study, we assessed the life cycle impacts of heat production via wood to determine the significance of including biogenic CO₂ emissions due to changes in forest management. Impacts of biogenic CO₂ dominate the total climate change impacts from a wood stove. Depending on the wood source country, climate change impacts due to heat production from wood either have an important share in the overall impacts on human health and terrestrial ecosystems, or allow for a large additional CO₂ sink.     

Multi-scale Drivers of Spatial Variation in Old-Growth Forest Carbon Density Disentangled with Lidar and an Individual-Based Landscape Model

Forest ecosystems are the most important terrestrial carbon (C) storage globally, and presently mitigate anthropogenic climate change by acting as a large and persistent sink for atmospheric CO₂. Yet, forest C density varies greatly in space, both globally and at stand and landscape levels. Understanding the multi-scale drivers of this variation is a prerequisite for robust and effective climate change mitigation in ecosystem management. Here, we used airborne light detection and ranging (Lidar) and a novel high-resolution simulation model of landscape dynamics (iLand) to identify the drivers of variation in C density for an old-growth forest landscape in Oregon, USA. With total ecosystem C in excess of 1?Gt?ha^?1 these ecosystems are among the most C-rich globally. Our findings revealed considerable spatial variability in stand-level C density across the landscape. Notwithstanding the distinct environmental gradients in our mountainous study area only 55.3% of this variation was explained by environmental drivers, with radiation and soil physical properties having a stronger influence than temperature and precipitation. The remaining variation in C stocks was largely attributable to emerging properties of stand dynamics (that is, stand structure and composition). Not only were density- and size-related indicators positively associated with C stocks but also diversity in composition and structure, documenting a close link between biodiversity and ecosystem functioning. We conclude that the complexity of old-growth forests contributes to their sustained high C levels, a finding that is relevant to managing forests for climate change mitigation.     

南亚热带格木、马尾松幼龄人工纯林及其混交林生态系统碳氮储量

研究比较了南亚热带6年生格木(Erythrophleum fordii)、马尾松(Pinus massoniana)幼龄人工纯林及马尾松与格木混交林生态系统碳氮储量及其分配特征。结果表明,生态系统总碳储量依次为马尾松-格木混交林(137.75 t/hm2)格木纯林(134.07 t/hm2)马尾松纯林(131.10 t/hm2),总氮储量则为格木纯林(10.19 t/hm2)马尾松-格木混交林(8.68 t/hm2)马尾松纯林(7.01 t/hm2)。3种人工林生态系统碳氮库空间分布基本一致,绝大部分储存于0—100 cm土壤层,平均占生态系统总储量的81.49%和96.91%,其次为乔木层(分别占17.52%和2.69%),林下植被和凋落物层所占比例最小。林地土壤碳主要集中于表土层,其中0—30 cm土层平均碳储量为52.52 t/hm2,占土壤总碳储量(0—100 cm)的47.99%,土壤氮的分布则无明显规律。相比于纯林,与固氮树种混交的营林方式表现出更大的碳储存能力。3种幼龄人工林生态系统较低的地上与地下部分碳氮分配比,表明其仍具有较强的碳氮固持潜力。     

Assessing the effect of climate change on carbon sequestration in a Mexican dry forest in the Yucatan Peninsula

Assessing the effect of climate change on carbon sequestration in tropical forest ecosystems is important to inform monitoring, reporting, and verification (MRV) for reducing deforestation and forest degradation (REDD), and to effectively assess forest management options under climate change. Two process-based models, Forest-DNDC and Biome-BGC, with different spatial modeling scales were evaluated to estimate the potential effect of climate change on carbon sequestration in a tropical dry semi-deciduous forest in the Yucatan Peninsula of Mexico. The results from the simulations using the two models show that carbon sequestration in this dry forest is highly sensitive to warming. Carbon uptake in this forest may increase or decrease slightly with a corresponding increase or decrease in precipitation; however, with an increase in temperature, carbon uptake may decrease significantly, showing that warming may be the main climate factor that impacts carbon storage in this tropical dry forest. Model performance evaluation indicates that both models may be used to estimate C stocks, but DNDC may be better than BGC for assessing the effect of climate change on C dynamics.     

Sources or sinks? The responses of tropical forests to current and future climate and atmospheric composition.

How tropical rainforests are responding to the ongoing global changes in atmospheric composition and climate is little studied and poorly understood. Although rising atmospheric carbon dioxide (CO2) could enhance forest productivity, increased temperatures and drought are likely to diminish it. The limited field data have produced conflicting views of the net impacts of these changes so far. One set of studies has seemed to point to enhanced carbon uptake; however, questions have arisen about these findings, and recent experiments with tropical forest trees indicate carbon saturation of canopy leaves and no biomass increase under enhanced CO2. Other field observations indicate decreased forest productivity and increased tree mortality in recent years of peak temperatures and drought (strong El Niño episodes). To determine current climatic responses of forests around the world tropics will require careful annual monitoring of ecosystem performance in representative forests. To develop the necessary process-level understanding of these responses will require intensified experimentation at the whole-tree and stand levels. Finally, a more complete understanding of tropical rainforest carbon cycling is needed for determining whether these ecosystems are carbon sinks or sources now, and how this status might change during the next century.     

北京山区3种暖温带森林生态系统未来碳平衡的模拟与分析

使用LPJ-GUESS植被动态模型, 在北京山区研究了未来100a以辽东栎 (Quercus liaotungensis) 为优势种的落叶阔叶林、以白桦 (Betula platyphylla) 为主的阔叶林和油松 (Pinus tabulaeformis) 为优势种的针阔混交林的碳变化, 定量分析了生态系统净初级生产力 (NPP) 、土壤异养呼吸 (Rh) 、净生态系统碳交换 (NEE) 和碳生物量 (Carbon bio-mass) 对两种未来气候情景 (SRES A2和B2) 以及相应大气CO2浓度变化情景的响应特征。结果表明:1) 未来100a两种气候情景下3种森林生态系统的NPP和Rh均增加, 并且A2情景下增加的程度更大;2) 由于3种生态系统树种组成的不同, 未来气候情景下各自NPP和Rh增加的比例不同, 导致三者NEE的变化也相异:100a后辽东栎林由碳汇转变为弱碳源, 白桦林仍保持为碳汇但功能减弱, 油松林成为一个更大的碳汇;3) 3种森林生态系统的碳生物量在未来气候情景下均增大, 21世纪末与20世纪末相比:辽东栎林在A2情景下碳生物量增加的比例为27.6%, 大于B2情景下的19.3%;白桦林和油松林在B2情景下碳生物量增加的比例分别为34.2%和52.2%, 大于A2情景下的30.8%和28.4%。     

Global climate change and carbon balance in forest ecosystems of boreal zones: Simulation modeling as a forecast tool

The individual-based system of models EFIMOD simulating carbon and nitrogen flows in forest ecosystems has been used for forecasting the response of forest ecosystems to various forest management regimes with climate change. As input data the forest inventory data for the Manturovskii forestry of the Kostroma region were used. It has been shown that increase of mid-annual temperatures and precipitation influence the redistribution of carbon and nitrogen supply in organic form: supply increase of these elements in phytomass simultaneously with depletion of them in soil occurred. The most carbon and nitrogen accumulation in forest ecosystems occurs in the scenario without felling. In addition, in this scenario only the ecosystems of the modeling territory function as a carbon sink; in the other two scenarios (with selective and clear cutting) they function as a source of carbon. Climate changes greatly influence the decomposition rate of organic matter in soil, which leads to increased emission of carbon dioxide. The second consequence of the increase in the destruction rate is nitrogen increase in the soil in a form available for plants that entails productivity increase of stands.