黑龙江省大兴安岭森林生物量空间格局及其影响因素

基于样地实测数据和EVI指数,定量分析了黑龙江省大兴安岭森林生物量空间格局,并利用ArcGIS软件的空间分析与统计工具,分析了气候区、海拔、坡度、坡向和植被类型对森林生物量空间格局的影响.结果表明: 黑龙江省大兴安岭森林生物量为350 Tg,空间上呈聚集分布,生物量有巨大的增长空间.森林生物量密度大小顺序为:寒温带湿润区(64.02 t·hm^-2)＞中温带湿润区(60.26 t·hm^-2);各植被类型生物量密度大小顺序为:针阔混交林(65.13 t·hm^-2)＞云冷杉林(63.92 t·hm^-2)＞偃松 落叶松林(63.79 t·hm^-2)＞樟子松林(61.97 t·hm^-2)＞兴安落叶松林(61.40 t·hm^-2)＞落叶阔叶混交林(58.96 t·hm^-2).随海拔和坡度的增大,森林生物量密度先减小后增加,并且阴坡大于阳坡.大兴安岭森林生物量空间格局随气候区、植被类型和地形因子的梯度变化表现出差异性,在区域尺度上估算生物量密度时,需要充分考虑这种空间差异性.     

宁夏回族自治区森林生态系统固碳现状

根据宁夏回族自治区森林资源清查资料以及野外调查和室内分析的结果,研究了宁夏地区森林生态系统固碳现状,估算了该区森林生态系统的碳密度、碳储量,并分析了其空间分布特征.结果表明: 宁夏森林各植被层生物量大小顺序为: 乔木层(46.64 Mg·hm^-2)>凋落物层(7.34 Mg·hm^-2)>细根层(6.67 Mg·hm^-2)>灌草层(0.73 Mg·hm^-2).云杉类(115.43 Mg·hm^-2)和油松(94.55 Mg·hm^-2)的单位面积植被生物量高于其他树种.不同林龄乔木层碳密度中,过熟林最高,但由于幼龄林面积所占比例最大,其乔木层碳储量(1.90 Tg C)最大.宁夏地区森林生态系统平均碳密度为265.74 Mg C·hm^-2,碳储量为43.54 Tg C,其中,植被层平均碳密度为27.24 Mg C·hm^-2、碳储量为4.46 Tg C,土壤层碳储量是植被层的8.76倍.宁夏地区的森林碳储量整体呈南高北低分布,总量较低.这与其森林面积小和林龄结构低龄化有很大关系.随着林龄结构的改善和林业生态工程的进一步实施,宁夏森林生态系统将发挥巨大的固碳潜力.     

南岭小坑小红栲-荷木群落的地上生物量

采用皆伐法对南岭小坑800 m²小红栲 荷木次生群落(24 a)的生物量进行实测,并建立了生物量回归模型,分析群落地上部总生物量(AGB)在森林各层次、各树种及乔木层各器官中的分配规律.结果表明: 在亚热带次生常绿阔叶林,构建混合树种生物量模型的标准木数量最好在12株以上.基于伐倒实测265株阔叶乔木树木的群落混合阔叶树种地上生物量模型为:AGB=0.128D^2.372和AGB=242.331(D²H)^0.947,并且获得小红栲、荷木和萌条杉木单个树种的生物量模型.群落地上部总生物量为115.20 t·hm^-2,其中,乔木层和下木层分别为111.25和1.01 t·hm^-2,层间植物0.36 t·hm^-2,凋落物层2.58 t·hm^-2.小红栲和荷木分别占乔木层地上部总生物量的39.1%和28.7%.树干和枝叶生物量分别占乔木层地上部总生物量的81.0%和19.0%.     

模拟西伯利亚红松种植对大兴安岭中北部森林地上生物量的长期影响

西伯利亚红松是寒温带森林重要建群树种，其在大兴安岭引种种植将直接影响区域森林生态系统的结构和固碳功能。分析引种种植西伯利亚红松对大兴安岭森林地上生物量的长期影响，对厘清区域碳汇及碳中和有重要意义。本研究采用野外调查数据和森林景观模型相结合的方法，量化景观尺度西伯利亚红松不同种植强度对大兴安岭中北部森林及本地主要树种地上生物量动态影响。结果表明：引种种植西伯利亚红松对提高大兴安岭中北部林区森林地上生物量起积极作用，未来可在该区域大面积引种种植西伯利亚红松；不同种植强度预案下森林地上生物量变化趋势相似，均提高了森林地上生物量，其中低强度种植预案下森林地上生物量增幅最大，达8.66 Mg·hm^-2;西伯利亚红松引种种植对本地主要树种的影响存在明显差异，兴安落叶松和云杉地上生物量升高0.19～8.88 Mg·hm^-2,樟子松、山杨和白桦地上生物量降低0.42～12.86 Mg·hm^-2。     

利用皆伐法估算黔中喀斯特森林地上生物量

精确估算森林生物量对理解全球碳循环至关重要。已有的喀斯特森林地上生物量估算研究存在很高的不确定性,缺乏校准数据检验研究结果的精度。利用皆伐法,首次精确估算了我国西南贵州省中部喀斯特森林的地上生物量,并检验了已有生物量回归方程和平均标准木法对该喀斯特森林地上生物量的估算效果。该喀斯特森林的地上生物量为122.81 Mg/hm~2,胸径(D)≥1 cm的木本植物、D1 cm的木本植物和草本植物的地上生物量分别为120.00、2.56、0.24 Mg/hm~2。D在10—30 cm范围内的植株(83.89 Mg/hm~2)是地上生物量的主要贡献者。4个优势树种(云南鼠刺Itea yunnanensis、川钓樟Lindera pulcherrima、猴樟Cinnamomum bodinieri和化香树Platycarya strobilacea的地上生物量为103.03 Mg/hm~2,占森林总地上生物量的83.89%。干(61.04 Mg/hm~2)和枝(40.56 Mg/hm~2)的生物量远高于皮(11.61 Mg/hm~2)和叶(6.80 Mg/hm~2)。在物种水平上,已有生物量回归方程(误差-56.10%—84.61%)和平均标准木法(误差-36.43%—-5.14%)对该喀斯特森林地上生物量的估算效果均较差。最后,建立了5个新的生物量回归方程。本研究可为我国西南喀斯特地区精确估算森林碳储量提供基础校验数据和方法指导。     

祁连山天老池流域灌丛地上生物量空间分

采用野外样地调查法,以祁连山寺大隆林区天老池流域高山灌丛为研究对象,建立灌丛地上生物量与易测因子(冠幅周长和灌丛丛高)之间的关系,采用面向对象分类法对研究区的高分辨率影像(GeoEye-1)的土地利用类型进行分类,提取出灌丛盖度的空间分布,建立灌丛地上生物量与盖度之间的关系式,估算灌丛地上总生物量.结果表明： 研究区灌丛地上总生物量为1.8×10³ t,单位面积地上生物量为1598.45 kg·hm^-2;灌丛地上生物量主要分布在海拔3000～3700 m范围内,并且阳坡(1.15×10³ t)>阴坡(0.65×10³ t).     

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。     

鼎湖山五种植被类型群落生物量及其径级分配特征

根据鼎湖山自然保护区14次群落样地调查数据和生物量估算方程,研究了5种植被类型的乔木(DBH≥1cm)生物量及其径级分配特征。结果显示:(1)最近一次群落调查中,沟谷雨林、山地常绿阔叶林、南亚热带常绿阔叶林、针阔叶混交林和马尾松林的生物量分别为472.9t·hm^-2,165.1t·hm^-2,290.4t·hm^-2,164.1t·hm^-2和122.5t·hm^-2;(2)生物量径级分配的结果表明,鼎湖山14次植被调查的生物量径级分配总体上存在3种主要的分布类型,分别为递减分布、倒钟型分布和递增分布。鼎湖山生物量径级分配特征规律与其他地区研究结果一致。     

气候变化和林火干扰对大兴安岭林区地上生物量影响的动态模拟

预测森林地上生物量对气候变化和林火干扰的响应是陆地生态系统碳循环研究的重要内容,气温、降水等因素的改变和气候变暖导致林火干扰强度的变化将会影响森林生态系统的碳库动态.东北森林作为我国森林的重要组成部分,对气候变化和林火干扰的响应逐渐显现.本文运用LANDIS PRO模型,模拟气候变化对大兴安岭森林地上生物量的影响,并比较分析了气候变暖对森林地上生物量的直接影响与通过林火干扰强度改变所产生的影响.结果表明: 未来气候变暖和火干扰增强情景下,森林地上生物量增加;当前气候条件和火干扰下,研究区森林地上生物量为(97.14±5.78) t·hm^-2;在B1F2预案下,森林地上生物量均值为(97.93±5.83) t·hm^-2;在A2F3预案下,景观水平第100～150和150～200年模拟时期内的森林地上生物量均值较高,分别为(100.02±3.76)和(110.56±4.08) t·hm^-2.与当前火干扰相比,CF2预案(当前火干扰增加30%)在一定时期使景观水平地上生物量增加(0.56±1.45) t·hm^-2,CF3预案(当前火干扰增加230%)在整个模拟阶段使地上生物量减少(7.39±1.79) t·hm^-2.针叶、阔叶树种对气候变暖的响应存在差异,兴安落叶松和白桦生物量随气候变暖表现为降低趋势,而樟子松、云杉和山杨的地上生物量则随气候变暖表现出不同程度的增加;气候变暖对针阔树种的直接影响具有时滞性,针叶树种响应时间比阔叶树种迟25～50年.研究区森林对高CO₂排放情景下气候变暖和高强度火干扰的共同作用较为敏感,未来将明显改变研究区森林生态系统的树种组成和结构.     

基于随机森林模型的青藏高原森林地上生物量遥感估算

遥感数据可以实时快速获取森林属性信息，利用遥感技术数据估算的森林地上生物量(aboveground biomass, AGB)具有空间连续性且精度较高的优势。与低纬度或低海拔的森林生态系统相比，高寒区因地形复杂、气候特殊，森林属性信息的获取更加困难，因此遥感是获取大尺度高寒区森林属性的重要手段。本研究以青藏高原为研究区，利用MODIS卫星影像和样地调查数据，建立随机森林模型(RF)估算森林AGB,并结合K最近邻算法(KNN)进一步探究该区域主要树种AGB。本研究在不同尺度上验证了模型预测精度，并分析预测变量的重要性。结果表明：(1)建立的AGB估算模型在像元(R²=0.82,RMSE=64.93 t·hm^-2)和景观尺度(t=0.15,P=0.88)上皆表现较好；(2)青藏高原森林AGB空间分布呈现由东南向西北逐渐降低的趋势，平均森林AGB为181.28±104.54 t·hm^-2;最高的森林AGB出现在海拔1000 m以下，为237.66±60.92 t·hm^-2;树种水平上，冷杉、云杉和云南松A...     

Field observed relationships between biodiversity and ecosystem functioning during secondary succession in a tropical lowland rainforest

The relationship between biodiversity and ecosystem functioning (BEF) is one of the most concerned topics in ecology. However, most of the studies have been conducted in controlled experiments in grasslands, few observational field studies have been carried out in forests. In this paper, we report variations of species diversity, functional diversity and aboveground biomass (AGB) for woody plants (trees and shrubs) along a chronosequence of four successional stages (18-year-old fallow, 30-year-old fallow, 60-year-old fallow, and old-growth forest) in a tropical lowland rainforest recovered after shifting cultivation on Hainan Island, China. Fifty randomly selected sample plots of 20 m × 20 m were investigated in each of the four successional stages. Four functional traits (specific leaf area, wood density, maximum species height and leaf dry matter content) were measured for each woody plants species and the relationships between species/functional diversity and AGB during secondary succession were explored. The results showed that both plant diversity and AGB recovered gradually with the secondary succession. AGB was positively correlated with both species and functional diversity in each stage of succession. Consistent with many controlled experimental results in grasslands, our observational field study confirms that ecosystem functioning is closely related to biodiversity during secondary succession in species rich tropical forests.     

The structural characteristics and climatic and human impacts of deciduous oak forests in China

中国落叶栎林群落结构特征及气候和人类活动的影响 落叶栎林是中国温带地区和亚热带山地典型的植被类型之一。虽然已有大量关于中国落叶栎林的群落结构特征研究,但以往研究多局限于局域尺度或单个类群,而在国家尺度上的系统性研究较为缺乏。本文采用统一的调查方法获取682个天然落叶栎林样方数据,基于此数据分析了我国落叶栎林的群落结构特征及其空间格局,探究了影响其特征的气候和人为因素。研究结果表明,中国落叶栎林乔木 层的平均胸径、平均树高、平均林分密度和平均总胸高断面积分别为：13.7 cm、10.0 m、1468株/ha 和 24.3 m²/ha。落叶栎林乔木层、灌木层和草本层的平均物种丰富度分别为：6种/600 m²、10种/100 m²和 4种/1 m²。随纬度的升高,落叶栎林平均树高、林分密度、总胸高断面积、乔木层物种丰富度和灌木层物 种丰富度均呈现显著降低趋势,林分平均胸径无显著变化,而草本层物种丰富度呈现显著增加趋势。 进一步分析发现,相比于林分密度和草本层物种丰富度,气候和人类活动可以更多地解释平均胸径、平均树高、总胸高断面积、乔木层物种丰富度和灌木层物种丰富度的空间分异。此外,与降水相关的气候因子在塑造群落结构特征的空间格局方面起着更为重要的作用。总之,本研究为认识中国落叶栎林群落结构特征的生物地理格局及其对全球变化的响应提供了基础。     

树种组成和径级结构对热带次生林生物量恢复影响的研究

本研究在海南尖峰岭和吊罗山热带林区海拔245～1255 m范围内根据林分恢复时间设立固定监测样地,探讨了森林地上生物量与树种组成和径级结构的关系.结果显示:海南热带次生林平均地上生物量为(155.38±37.16)×103 kg/hm2,其中低地次生雨林为(137.91±31.02)×103 kg/hm2,山地次生雨林...     

岷江上游亚高山林区老龄林地上生物量动态变化

中国川西亚高山森林中的天然林大部分为成过熟的老龄林,对其生物量动态研究有助于了解其碳储量的动态变化规律.利用全国森林资源连续清查的27个固定样地数据,基于地上各器官生物量与树干胸径(D)和树高(h)的异速生长方程,估算了岷江上游亚高林山老龄林地上生物量密度的动态变化特征及其时空变化规律.结果表明,(1)从1988～2002年期间,老龄林地上生物量密度净增量为(27.311±15.580)Mg·hm-2,平均每年增长率为(1.930±1.091 )Mg·hm-2·a-1,平均每年枯损率为(2 271±1.424)Mg·hm-2·a-1;(2)地上生物量变化受各径级保留木生长量、枯损量及进界生长量影响,其中20～40cm径级保留木生长量与生物量净增量最大,>80cm径级生物量增量最小,40～60cm和60～80cm径级生物量在调查期间净增量出现负增长.(3)岷江上游老龄林地上生物量动态变化具有时空异质性,同一样地在不同调查间隔期或同一调查期间不同样地间生物量变化不同,不仅有增量数值大小差异,还表现为生物量增量的正负差异.     

红灵山亚热带常绿阔叶林维管植物组成与群落结构特征

为了弄清四川天全县红灵山亚热带常绿阔叶林的群落类型及结构特征,在红灵山中山地段（海拔1700~2000 m）设置6个20 m×30 m的代表性样地,采用典型群落调查法,对其物种组成、群落结构、生物量和自然更新能力等进行研究。结果显示：（1）样地内调查到182个物种,属72科117属,显示出典型亚热带常绿阔叶林的植物区系组成特征;（2）以扁刺栲群系为主,可分为3个群丛组、5个群丛;（3）乔木层密度为2583~5383株/hm²,生物量为2.42×10⁵~4.26×10⁵ kg/hm²,冠层藤本植物地上生物量为1.01×10³ kg/hm²,死木质残体生物量为1.65×10⁵ kg/hm²,次生性特征明显;（4）幼苗丰富,其种类组成与乔木层的相似度为88.89%,说明其自然更新良好,群落结构正渐趋稳定。综合分析表明,红灵山的常绿阔叶林以扁刺栲群系为主,虽次生性明显,但目前保存较为完好,值得进一步强化生态保育。     

木论喀斯特峰丛洼地森林群落空间格局及环境解释

基于广西壮族自治区木论国家级自然保护区典型峰丛洼地景观尺度内不同微生境条件和植物群落类型50个样地 (20 m × 20 m)的系统取样调查, 用二元物种指示方法(TWINSPAN)对样地内胸径(DBH) ≥ 1 cm的木本植物进行分类, 选择10个土壤环境因子和5个空间因子, 利用除趋势典范对应分析(DCCA)研究了森林群落分布的土壤环境与空间格局, 并给予定量化的合理解释。结果如下: 1) TWINSPAN将森林群落划分为11组, 在三级水平上分为4类生态群落类型。2) DCCA第一排序轴集中了排序的大部分信息, 突出反映了各森林群落所在的坡向和土壤主要养分梯度, 沿第一轴从左到右, 坡向由阴转阳, 岩石裸露率越来越高, 土壤主要养分逐渐降低, 森林群落分别出现了由原生性和耐阴性强逐步向阳性先锋树种为主的次生林和人工林变化的格局。3)因子分离分析结果表明, 土壤环境因子对森林群落分布格局的解释能力为39.16%, 其中21.02%单纯由土壤环境因子所引起, 空间因子的解释能力为31.34%, 其中13.16%独立于土壤环境的变化, 18.15%是土壤环境和空间因子相互耦合作用的结果, 不可解释部分达47.66%, 表明喀斯特峰丛洼地森林群落的物种共存受生态位分化理论和中性理论双重控制。     

Forest biomass stocks and dynamics across the subtropical Andes

Forest biomass plays an important role in the global carbon cycle. Therefore, understanding the factors that control forest biomass stocks and dynamics is a key challenge in the context of global change. We analyzed data from 60 forest plots in the subtropical Andes (22–27.5° S and 300–2300 m asl) to describe patterns and identify drivers of aboveground biomass (AGB) stocks and dynamics. We found that AGB stocks remained roughly constant with elevation due to compensating changes in basal area (which increased with elevation) and plot‐mean wood specific gravity (which decreased with elevation). AGB gain and loss rates both decreased with elevation and were explained mainly by temperature and rainfall (positive effects on both AGB gains and losses). AGB gain was also correlated with forest‐use history and weakly correlated with forest structure. Mean annual temperature and rainfall showed minor effects on AGB stocks and AGB change (gains minus losses) over recent decades. Although AGB change was only weakly correlated with climate variables, increases in AGB gains and losses with increasing rainfall—together with observed increases in rainfall in the subtropical Andes—suggest that these forests may become increasingly dynamic in the future. Abstract in Spanish is available with online material     

A comparison of species composition and stand structure between planted and natural mangrove forests in Shenzhen Bay,South China

Aims For assisting faster restoration of damaged or severely disturbed coastal ecosystems, selected mangrove species have been planted on previously mangrove-inhabited sites of the tropical and subtropical coasts of southern China. The objective of this study was to understand the stand dynamics of the planted mangroves and their functional traits in comparison with natural mangrove forests under similar site conditions.Methods Species composition, stand density, tree size distribution, and aboveground production were investigated along three transects in a 50-year-old planted mangrove stand and three transects in an adjacent natural mangrove stand in Shenzhen Bay, South China. Measurements were made on tree distribution by species, stand structure, and aboveground biomass (AGB) distribution. Analyses were performed on the spatial patterns of tree size distribution and species association.Important findings We found that the planted and natural mangrove stands did not differ in stand density, average diameter at breast height (DBH), species composition, and AGB. Spatial distribution of AGB and frequency at species level were also similar between the planted and natural stands. However, the traits in stand structure were more variable in the planted stand than in the natural stand, indicating higher spatiotemporal heterogeneity in the development and succession of planted mangroves. Geostatistical analyses show that both DBH and AGB were spatially auto-correlated within a specific range in the direction perpendicular to coastline. More than 60% of the variance in these attributes was due to spatial autocorrelation. The Ripley's K -function analysis shows that the two dominant species, Kandelia obovata and Avicennia marina, clumped in broader scales in the natural stand than in the planted stand and displayed significant interspecific competition across the whole transect. It is suggested that interspecific competition interacts with spatial autocorrelation as the underlying mechanism shaping the mangrove structure. This study demonstrates that at age 50, mangrove plantations can perform similarly in stand structure, spatial arrangement of selected stand characteristics and species associations to the natural mangrove forests.     

Contribution of Dead Wood to Biomass and Carbon Stocks in the Caribbean: St. John, U.S. Virgin Islands

Dead wood is a substantial carbon stock in terrestrial forest ecosystems and hence a critical component of global carbon cycles. Given the limited amounts of dead wood biomass and carbon stock information for Caribbean forests, our objectives were to: (1) describe the relative contribution of down woody materials (DWM) to carbon stocks on the island of St. John; (2) compare these contributions among differing stand characteristics in subtropical moist and dry forests; and (3) compare down woody material carbon stocks on St. John to those observed in other tropical and temperate forests. Our results indicate that dead wood and litter comprise an average of 20 percent of total carbon stocks on St. John in both moist and dry forest life zones. Island-wide, dead wood biomass on the ground ranged from 4.55 to 28.11 Mg/ha. Coarse woody material biomass and carbon content were higher in moist forests than in dry forests. No other down woody material components differed between life zones or among vegetation categories ( P > 0.05). Live tree density was positively correlated with fine woody material and litter in the moist forest life zone ( R = 0.57 and 0.84, respectively) and snag basal area was positively correlated with total down woody material amounts ( R = 0.50) in dry forest. Our study indicates that DWM are important contributors to the total biomass and, therefore, carbon budgets in subtropical systems, and that contributions of DWM on St. John appear to be comparable to values given for similar dry forest systems.     

Predicting the responses of forest distribution and aboveground biomass to climate change under RCP scenarios in southern China

In the past three decades, our global climate has been experiencing unprecedented warming. This warming has and will continue to significantly influence the structure and function of forest ecosystems. While studies have been conducted to explore the possible responses of forest landscapes to future climate change, the representative concentration pathways (RCPs) scenarios under the framework of the Coupled Model Intercomparison Project Phase 5 (CMIP5) have not been widely used in quantitative modeling research of forest landscapes. We used LANDIS‐II, a forest dynamic landscape model, coupled with a forest ecosystem process model (PnET‐II), to simulate spatial interactions and ecological succession processes under RCP scenarios, RCP2.6, RCP4.5 and RCP8.5, respectively. We also modeled a control scenario of extrapolating current climate conditions to examine changes in distribution and aboveground biomass (AGB) among five different forest types for the period of 2010–2100 in Taihe County in southern China, where subtropical coniferous plantations dominate. The results of the simulation show that climate change will significantly influence forest distribution and AGB. (i) Evergreen broad‐leaved forests will expand into Chinese fir and Chinese weeping cypress forests. The area percentages of evergreen broad‐leaved forests under RCP2.6, RCP4.5, RCP8.5 and the control scenarios account for 18.25%, 18.71%, 18.85% and 17.46% of total forest area, respectively. (ii) The total AGB under RCP4.5 will reach its highest level by the year 2100. Compared with the control scenarios, the total AGB under RCP2.6, RCP4.5 and RCP8.5 increases by 24.1%, 64.2% and 29.8%, respectively. (iii) The forest total AGB increases rapidly at first and then decreases slowly on the temporal dimension. (iv) Even though the fluctuation patterns of total AGB will remain consistent under various future climatic scenarios, there will be certain responsive differences among various forest types.