基于森林资源清查数据估算中国森林生物量固碳潜力

森林是全球陆地生态系统中最大的植被碳库和碳汇,森林固碳被认为是各国抵减工业温室气体排放的重要途径,通过森林资源清查数据编制国家温室气体清单也是大多数国家的选择。但是,由于森林固碳本身的复杂性,未来通过森林固碳能够抵消多少工业碳排放往往并不清楚。如何基于森林资源清查数据估算森林的固碳潜力,仍是一个值得深入研究的领域。通过能够公开获得的森林资源清查数据,分起源(人工林和天然林)、36个树种、5个林龄组建立了国家和省两级森林蓄积量年增长量模型,并以第六次森林资源清查期为起点,估算了基线情景(造林、管理、干扰、气候、采伐等条件不变)下2001—2200年前中国森林生物量变化和中国森林生物量固碳潜力。结果认为,天然林蓄积量年增长量一般低于人工林;多数天然林树种的蓄积量增长过程符合理论上认为的中间高、前后低的逻辑斯蒂曲线形式,即中龄林、近熟林、成熟林年增长量高,幼龄林和过熟林年增长量低;人工林蓄积量增长过程多为前期高、后期低的形式,即幼龄林、中龄林和近熟林年增长量高,成熟林和过熟林年增长量低。基线情景下中国森林碳容量为12.82 Pg C,其中人工林为6.6 Pg C,天然林为6.2 Pg C;相对于2001年碳储量来说,到2200年中国森林生物量固碳潜力为6.52 Pg C。综合已有研究认为,中国森林生物量固碳潜力为6.52—13.57 Pg C。本研究可以用于优化森林生长过程模型,为我国森林管理政策的制定提供参考。     

人工林碳汇潜力新概念及应用

定量确定森林碳汇潜力有助于科学地评估森林对碳汇的潜在贡献及制定实现这种潜力所需要的经营管理措施。目前,国内外有关森林碳汇潜力缺乏统一的概念及计量方法。在综述国内外有关固碳潜力概念的基础上,引入时间动态构架和可持续性的概念,提出了针对人工林的固碳潜力概念并利用FORECAST模型以杉木人工林为例阐明此概念的实际意义与应用。     

杭州市不同土地利用类型的树木生长和碳固存

随着全球城市化的加剧,城市作为一个受强人类活动支配的生态系统,在显著改变土地利用的同时,也改变了城市内植被的碳吸收和碳储存能力.本文选取杭州具有代表性的2个树种香樟(Cinnamomum camphora)和悬铃木(Platanus acerifolia)为研究对象,调查并测量了720株树木的胸径、株高、株距和冠幅,测量了230株样木近10年的平均轮面积增量,对城市不同土地利用类型上不同树种的碳储存和碳吸收速率进行了估算和比较.结果表明,香樟碳储存为45 kg C·m-2,悬铃木104 kg C·m-2.香樟碳吸收速率在政府机关用地上最大,住宅区最小;而悬铃木在住宅区碳吸收速率远远大干商业区和政府机构用地.冠幅是影响香樟碳吸收速率的主要影响因子,而悬铃木的碳吸收速率与冠幅相关外还受到年龄的影响.在城市土地利用类型中乔木碳吸收是野外相同年龄乔木的5倍甚至更多.     

甘肃省5种典型人工林生态系统固碳现状与潜力

基于野外调查与室内实测数据,结合第八次全国森林资源清查资料,分析了甘肃省5种典型人工林生态系统(刺槐、杨树、油松/华山松、落叶松及云杉林)森林生态系统碳密度、碳储量,并估算了乔木层固碳潜力.结果表明: 5种典型人工林生态系统平均碳密度和总碳储量分别为139.65 t·hm^-2和85.78 Tg,不同人工林类型之间差异较大.不同龄组间碳密度表现为近熟林(250.70 t·hm^-2)最大,其次是成熟林(175.97 t·hm^-2)和中龄林(156.92 t·hm^-2),幼龄林(117.56 t·hm^-2)最低.碳储量表现为幼龄林(45.47 Tg)>中龄林(19.54 Tg)>成熟林(11.84 Tg)>近熟林(8.93 Tg),幼中龄林碳储量占总碳储量的75.9%.5种典型人工林乔木层现实固碳潜力合计为7.27 Tg,刺槐林(2.49 Tg)和杨树林(2.10 Tg)最大;各龄组中,幼龄林现实固碳潜力最大(3.78 Tg),其次是中龄林(2.04 Tg),近熟林最小(0.45 Tg).5种典型人工林乔木层最大固碳潜力达27.55 Tg,表现为刺槐林(9.42 Tg)>落叶松林(6.22 Tg)≈云杉林(6.36 Tg)>杨树林(3.18 Tg)>油松/华山松林(2.37 Tg);其中,幼、中龄林最大固碳潜力分别为18.48和6.89 Tg,占总最大固碳潜力的92%.     

西藏森林植被乔木层碳储量与碳密度估算

利用第八次森林资源连续清查数据和不同树种的树干密度、含碳率等参数,运用生物量清单法,估算了西藏自治区森林乔木层植被碳储量和碳密度.结果表明: 西藏森林生态系统乔木层植被总碳储量为1.067×10⁹ t,平均碳密度为72.49 t·hm^-2.不同林分乔木层碳储量依次为:乔木林>散生木>疏林>四旁树.不同林种乔木层碳储量大小依次为:防护林>特殊用途林>用材林>薪炭林,其中前两者所占比例为88.5%;不同林种乔木层平均碳密度为88.09 t·hm^-2.不同林组乔木层碳储量与其分布面积排序一致,依次为:成熟林>过熟林>近熟林>中龄林>幼龄林.其中,成熟林乔木层碳储量占不同林组乔木层总碳储量的50%,并且不同林组乔木层碳储量随着林龄的增加呈先上升后下降的趋势.     

采伐对豫西退耕还林工程固碳的影响

以豫西退耕还林工程重点县嵩县为研究对象,收集了嵩县2002—2010年退耕还林工程逐年实施的造林面积、树种等数据,利用合适的人工林蓄积量生长方程和和中国退耕还林后的土壤有机碳变化的研究结果,结合各树种的木材密度、生物量扩展因子、碳含量等参数,在采伐和无采伐两种情景模式下对其退耕还林工程在2002—2050年的碳储量及其变化进行估算。结果表明:2010年,工程林总碳储量为0.470 Tg(Tg=10~(12)g),工程实施期间,工程前期碳储量高于后期;土壤有机碳库在2002—2010年期间年固碳量均为负值,表现为碳排放,2011年后土壤年固碳量开始增加;在两种情境模式下,工程林年固碳量最高峰都在2015年,2033年以后采伐情景的年固碳量大于无采伐情景。预计到2020、2030、2040和2050年,嵩县退耕还林工程在无采伐情境下的固碳增汇潜力分别为0.760、1.464、1.852和1.985 Tg,在采伐情景下的固碳增汇潜力分别为0.760、1.240、1.657和2.000 Tg,从长时间来看,豫西退耕还林工程林在采伐情景下具有较大的碳汇潜力,因此,对退耕还林工程林实施适度的采伐可以提高工程的碳汇能力。     

鼎湖山马尾松林生态系统碳素分配和贮量的研究

鼎湖山马尾松林中 ,马尾松各器官碳含量平均为 5 4.46%,灌木层植物 48.1 0 %,草本层植物40 .2 1 %,地表现存凋落物层 5 4.40 %,以上各组分总平均为 49.2 9%。土壤碳密度为 7.3 7kg· m- 2 (深 1 0 0cm)。生态系统各组分碳贮量分别为 :乔木层 68.876t·hm- 2 ,林下植物层 6.0 3 0 t· hm- 2 ,凋落物层 5 .892 t·hm- 2 ,土壤层 73 .70 5 t· hm- 2。根据研究结果 ,还对广东省马尾松林的现有碳贮量和碳吸存潜力进行了估算和讨论。     

江西省人工造林碳蓄积的时空过程

人工造林被认为是吸收CO2、减缓气候变暖最有效且最具生态效应的碳增汇方法之一。以江西省作为南方红壤丘陵区人工造林的典型研究区,综合应用树轮生态分析、模型模拟、尺度融合、文献整合分析、遥感反演和GIS空间分析等方法,基于树木年轮信息、森林样方资料和人工林分布数据等,驱动树木材积生长量模型和区域碳通量模型,从样地到区域模拟分析了人工林生产力和碳蓄积的时空变化规律。结果表明,1)1980年至2007年,江西省人工林净初级生产力(NPP)呈现先迅速下降而后缓慢增加的趋势,至今仍未恢复到之前的人工林质量水平,2)碳蓄积年变化在前8a处于平稳状态,而后变化速率增快,从2.19Tg C/a迅速增至8.02 Tg C/a,此后增速减缓;3)人工林NPP与降水量、温度的关系不明显,海拔对NPP值的影响较大而对NPP变化趋势的影响较小,NPP值随着坡度增加而增大;4)造林方式比较,人工造林碳增汇潜力最大,而封山育林在碳蓄积效应方面不具优势。     

南亚热带不同林龄红锥人工林碳贮量与碳固定特征

采用乡土珍贵阔叶树种改造大面积针叶人工纯林已经成为我国亚热带地区人工林近自然化经营的有效模式.采用样地调查与生物量实测方法,研究了我国南亚热带广西3个不同林龄红锥人工林(10、20和27年生)的不同器官、凋落物层和土壤层的碳含量,以及不同林龄红锥人工林的乔木层、凋落物层和土壤层碳贮量及其分配特征.结果表明:红锥不同器官碳含量为49.7％～57.9％;凋落物层碳含量为40.8％ ～ 50.5％,而且未分解层＞半分解层;土壤层(0～60 cm)碳含量随林龄增加而增大,随土层深度的增加而下降.10、20和27年生红锥人工林碳贮量分别为182.42、234.75和269.75 t·hm-2,其中,乔木层分别占19.8％、32.0％和32.8％,凋落物层分别占1.5％、1.6％和1.3％,土壤层分别占78.7％、66.4％和65.9％.3个红锥人工林的年净固碳量分别为4.70、5.64和5.18 t· hm-2.红锥具有较高的固碳能力,是发展多目标森林经营模式的理想树种.     

Organic carbon stocks and sequestration rates of forest soils in Germany

The National Forest Soil Inventory (NFSI) provides the Greenhouse Gas Reporting in Germany with a quantitative assessment of organic carbon (C) stocks and changes in forest soils. Carbon stocks of the organic layer and the mineral topsoil (30 cm) were estimated on the basis of ca. 1.800 plots sampled from 1987 to 1992 and resampled from 2006 to 2008 on a nationwide grid of 8 × 8 km. Organic layer C stock estimates were attributed to surveyed forest stands and CORINE land cover data. Mineral soil C stock estimates were linked with the distribution of dominant soil types according to the Soil Map of Germany (1 : 1 000 000) and subsequently related to the forest area. It appears that the C pool of the organic layer was largely depending on tree species and parent material, whereas the C pool of the mineral soil varied among soil groups. We identified the organic layer C pool as stable although C was significantly sequestered under coniferous forest at lowland sites. The mineral soils, however, sequestered 0.41 Mg C ha^?1 yr^?1. Carbon pool changes were supposed to depend on stand age and forest transformation as well as an enhanced biomass input. Carbon stock changes were clearly attributed to parent material and soil groups as sandy soils sequestered higher amounts of C, whereas clayey and calcareous soils showed small gains and in some cases even losses of soil C. We further showed that the largest part of the overall sample variance was not explained by fine‐earth stock variances, rather by the C concentrations variance. The applied uncertainty analyses in this study link the variability of strata with measurement errors. In accordance to other studies for Central Europe, the results showed that the applied method enabled a reliable nationwide quantification of the soil C pool development for a certain period.     

Evidence of non‐stationary relationships between climate and forest responses: Increased sensitivity to climate change in Iberian forests

Climate and forest structure are considered major drivers of forest demography and productivity. However, recent evidence suggests that the relationships between climate and tree growth are generally non‐stationary (i.e. non‐time stable), and it remains uncertain whether the relationships between climate, forest structure, demography and productivity are stationary or are being altered by recent climatic and structural changes. Here we analysed three surveys from the Spanish Forest Inventory covering c. 30 years of information and we applied mixed and structural equation models to assess temporal trends in forest structure (stand density, basal area, tree size and tree size inequality), forest demography (ingrowth, growth and mortality) and above‐ground forest productivity. We also quantified whether the interactive effects of climate and forest structure on forest demography and above‐ground forest productivity were stationary over two consecutive time periods. Since the 1980s, density, basal area and tree size increased in Iberian forests, and tree size inequality decreased. In addition, we observed reductions in ingrowth and growth, and increases in mortality. Initial forest structure and water availability mainly modulated the temporal trends in forest structure and demography. The magnitude and direction of the interactive effects of climate and forest structure on forest demography changed over the two time periods analysed indicating non‐stationary relationships between climate, forest structure and demography. Above‐ground forest productivity increased due to a positive balance between ingrowth, growth and mortality. Despite increasing productivity over time, we observed an aggravation of the negative effects of climate change and increased competition on forest demography, reducing ingrowth and growth, and increasing mortality. Interestingly, our results suggest that the negative effects of climate change on forest demography could be ameliorated through forest management, which has profound implications for forest adaptation to climate change.     

黄土丘陵区退耕还林地刺槐人工林碳储量及分配规律

采用样地调查与生物量实测方法,研究了甘肃黄土丘陵区不同坡向(阳坡、阴坡)和退耕年限(退耕5a、8a和11a)刺槐人工林乔木不同器官、灌草层、枯落物层和土壤层的碳含量,以及刺槐人工林乔木层、灌草层、枯落物层和土壤层碳储量及其分配特征。结果表明:刺槐不同器官碳含量均值变化范围为43.02%—50.89%%,从高到低排列顺序为树干细枝中枝粗枝叶根桩大根粗根小根中根树皮细根;灌木层碳含量为35.76%—42.74%;草本层碳含量为35.83%—43.64%;枯落物层碳含量为39.55%—41.77%;土壤层(0—100 cm)碳含量均值变化范围0.22%—0.99%,随退耕年限增加而增大,土壤深度的增加而逐渐下降。刺槐人工林生态系统碳库空间分布序列为土壤层(0—100 cm)植被层枯落物层。阳坡和阴坡退耕5a、8a、11a刺槐林生态系统碳储量分别为52.52、58.93、73.72 t/hm2和49.95、61.83、79.03 t/hm2。退耕年限和坡向是影响刺槐人工林碳储量增加的主要因素。刺槐人工林具有良好的固碳效益,是黄土丘陵区的理想树种。     

基于人工神经网络与空间仿真模拟的区域森林碳估算比较——以龙泉市为例

森林是生态系统的重要组成部分,准确估算森林碳储量及其分布对于评价森林生态系统的功能具有重要意义。以龙泉市为研究区,利用2009年99个森林资源清查样地数据和同年度Landsat TM影像数据,采用高斯序列协同仿真(SGCS)与BP神经网络方法(BPNN)分别模拟森林地上部分碳密度及其分布,并进行了对比分析。随机将样本数据分成70个建模样本和29个检验样本。通过模型检验,BP神经网络预测值与实测值的相关性达到0.67,相对均方根误差为0.63,空间仿真方法预测值与实测值的相关性为0.68,相对均方根误差为0.63,空间仿真方法预测能力略高于神经网络方法。仿真结果表明,基于BP神经网络模拟的森林碳总量为11042990 Mg,平均碳密度为36.10 Mg/hm2,总体森林碳密度均值高于样地平均值8.82%。基于空间仿真模拟的森林碳总量为11388657 Mg,平均碳密度为37.23 Mg/hm2,总体森林碳密度均值高于样地平均值9.40%。对比分析可知:高斯协同仿真模拟和BP神经网络虽然在碳总量估算值上与抽样数据估计值相近,但两种方法在估测值的频率分布以及研究区碳分布上有较大的差异。与BP神经网络相比,序列高斯协同模拟结果更接近系统抽样样地实测值,全部样地预测值与实测值的相关性达到0.75,在估计区域森林碳空间分布上有明显优势。在碳密度值域与频率分布方面,序列高斯协同模拟结果分布更合理。综上所述,序列高斯协同模拟在森林碳空间估计方面要优于BP神经网络。     

Variation in biomass and carbon storage by stand age in pine (Pinus tabulaeformis) planted ecosystem in Mt. Taiyue,Shanxi, China

Forest ecosystems play dominant roles in global carbon budget because of the large quantities stored in live biomass, detritus, and soil organic matter. Researchers in various countries have investigated regional and continental scale patterns of carbon (C) stocks in forest ecosystems; however, the relationship between stand age in different components (vegetation, forest floor detritus, and mineral soil) and C storage and sequestration remains poorly understood. In this paper, we assessed an age sequence of 18-, 20-, 25-, 38-, and 42-year-old Pinus tabulaeformis planted by analyzing the vertical distribution of different components biomass with similar site conditions on Mt. Taiyue, Shanxi, China. The results showed that biomass of P. tabulaeformis planted stands was ranged from 88.59 Mg ha^?1 for the 25-year-old stand to 231.05 Mg ha^?1 for the 42-year-old stand and the major biomass was in the stems. Biomass of the ground vegetation varied from 0.51 to 1.35 Mg C ha^?1 between the five stands. The forest floor biomass increased with increasing stand age. The mean C concentration of total tree was 49.94%, which was higher than C concentrations of ground vegetation and forest floor. Different organs of trees C concentration were between 54.14% and 47.74%. C concentrations stored in the mineral soil for each stand experienced decline with increasing soil depth, but were age-independent. Total C storage of five planted forests ranged from 122.15 to 229.85 Mg C ha^?1, of which 51.44–68.38% of C storage was in the soil and 28.46–45.21% in vegetation. The study provided not only with an estimation biomass of P. tabulaeformis planted forest in Mt. Taiyue, Shanxi, China, but also with accurately estimating forest C storage at ecosystem scale.     

黄土丘陵区两种主要退耕还林树种生态系统碳储量和固碳潜力

黄土丘陵区是中华文明的起源地,而原有植被却遭受严重破坏。因此,自20世纪70年代末开始的三北防护林工程、退耕还林工程和天然林保护工程等大型生态恢复工程,在本区均有大面积分布。这些工程已经对生态恢复起到重要作用,并将对全球碳素循环起到积极作用。以黄土丘陵区的主要造林树种--油松(Pinus tabulaeformis Carr.)和刺槐(Robinia pseudoacacia L.)为研究对象,共设置样方28个,测定森林乔木、灌木、草本生物量及凋落物碳储量;钻取并分析土样516份,获得土壤有机碳储量。结合文献数据和农田碳储量数据,建立0-86年生油松林和0-56年生刺槐纯林生态系统碳储量-林龄序列;在此基础上分析造林对生态系统碳储量和固碳潜力的影响。结果表明,造林后的油松林和刺槐林生态系统的植被、凋落物及土壤碳储量逐渐增加;在没有人为干扰的情况下,19、27、36、86年生油松林生态系统碳储量分别为70.76、143.43、167.30、271.23-332.26 Mg/hm²;8、17、39年生刺槐林生态系统碳储量分别为80.37、94.08、140.77 Mg/hm²。受间伐干扰、45\,52年生油松林生态系统碳储量分别为136.42\,168.56 Mg/hm²,相对于没有人为干扰的油松林,其植被碳储量明显下降,而土壤碳储量保持稳定甚至升高。受乱砍滥伐干扰的71年生油松林和56年生刺槐林的生态系统碳储量分别为118.87\,76.99 Mg/hm²,相对于没有人为干扰的森林,其植被碳储量和土壤碳储量均呈明显下降趋势。种植油松林之后的86a时间内,其生态系统固碳潜力为211.61-272.64 Mg/hm²;而种植刺槐林、在39a时间内的生态系统固碳潜力为81.15 Mg/hm²。     

Climate‐ and successional‐related changes in functional composition of European forests are strongly driven by tree mortality

Intense droughts combined with increased temperatures are one of the major threats to forest persistence in the 21st century. Despite the direct impact of climate change on forest growth and shifts in species abundance, the effect of altered demography on changes in the composition of functional traits is not well known. We sought to (1) quantify the recent changes in functional composition of European forests; (2) identify the relative importance of climate change, mean climate and forest development for changes in functional composition; and (3) analyse the roles of tree mortality and growth underlying any functional changes in different forest types. We quantified changes in functional composition from the 1980s to the 2000s across Europe by two dimensions of functional trait variation: the first dimension was mainly related to changes in leaf mass per area and wood density (partially related to the trait differences between angiosperms and gymnosperms), and the second dimension was related to changes in maximum tree height. Our results indicate that climate change and mean climatic effects strongly interacted with forest development and it was not possible to completely disentangle their effects. Where recent climate change was not too extreme, the patterns of functional change generally followed the expected patterns under secondary succession (e.g. towards late‐successional short‐statured hardwoods in Mediterranean forests and taller gymnosperms in boreal forests) and latitudinal gradients (e.g. larger proportion of gymnosperm‐like strategies at low water availability in forests formerly dominated by broad‐leaved deciduous species). Recent climate change generally favoured the dominance of angiosperm‐like related traits under increased temperature and intense droughts. Our results show functional composition changes over relatively short time scales in European forests. These changes are largely determined by tree mortality, which should be further investigated and modelled to adequately predict the impacts of climate change on forest function.     

Long‐term effects of climate change on carbon storage and tree species composition in a dry deciduous forest

Forest vegetation and soils have been suggested as potentially important sinks for carbon (C) with appropriate management and thus are implicated as effective tools in stabilizing climate even with increasing anthropogenic release of CO₂. Drought, however, which is often predicted to increase in models of future climate change, may limit net primary productio (NPP) of dry forest types, with unknown effects on soil C storage. We studied C dynamics of a deciduous temperate forest of Hungary that has been subject to significant decreases in precipitation and increases in temperature in recent decades. We resampled plots that were established in 1972 and repeated the full C inventory by analyzing more than 4 decades of data on the number of living trees, biomass of trees and shrubs, and soil C content. Our analyses show that the decline in number and biomass of oaks started around the end of the 1970s with a 71% reduction in the number of sessile oak stems by 2014. Projected growth in this forest, based on the yield table's data for Hungary, was 4.6 kg C/m². Although new species emerged, this new growth and small increases in oak biomass resulted in only 1.9 kg C/m² increase over 41 years. The death of oaks increased inputs of coarse woody debris to the surface of the soil, much of which is still identifiable, and caused an increase of 15.5%, or 2.6 kg C/m², in the top 1 m of soil. Stability of this fresh organic matter input to surface soil is unknown, but is likely to be low based on the results of a colocated woody litter decomposition study. The effects of a warmer and drier climate on the C balance of forests in this region will be felt for decades to come as woody litter inputs decay, and forest growth remains impeded.