基于森林清查资料的河南省森林植被碳储量动态变化

利用1994—1998年、1999—2003年、2004—2008年、2009—2013年河南省4期森林资源清查数据,运用生物量转换因子连续函数法和平均生物量法,估算了1998—2013年河南省森林植被的碳储量和碳密度变化。研究结果表明,河南省森林植被碳储量由1998年的45.57 Tg增加到2013年的107.98 Tg,年均碳汇量为4.16 Tg/a。乔木林碳储量和碳密度分别由1998年的33.54 Tg和22.39 Mg/hm~2增加到2013年的97.11 Tg和31.80 Mg/hm~2。乔木林碳储量在所有植被类型中占主体,4个森林清查时期乔木林碳储量占森林植被总碳储量的比例分别为73.60%、79.22%、85.63%和89.93%。2013年森林清查时,乔木林中杨树和栎类碳储量最大,分别占总碳储量的37.61%和25.22%,各龄组乔木林碳密度大小顺序依次为成熟林近熟林中龄林过熟林幼龄林。阔叶林面积、碳储量、碳密度均高于针叶林,阔叶林是河南省森林碳汇的主要贡献者。人工林面积、碳储量、碳密度增加幅度都要高于天然林,人工林碳储量由1998年的9.62 Tg增加到2013年的55.67 Tg,占乔木林碳储量总增量的77.15%,人工林碳密度由1998年的17.86 Mg/hm~2提高到2013年的32.01 Mg/hm~2,人工林在河南省森林碳汇中逐步发挥重要的作用,逐渐成为河南省森林碳汇的主体,随着人工林生长为具有较高碳密度的成熟林,河南省乔木林将具有较大的碳汇潜力。     

1950—2008年江西省森林火灾的碳损失估算

1950—2008年间江西省年均发生森林火灾762次、年均过火面积1.578×104hm2.本文利用江西省森林火灾统计数据,结合气象、森林分布和历次森林清查数据,分析了该省林火的特征,估算历年的林火碳释放量和碳转移量.结果表明:1950—2008年江西省森林火灾导致的森林生物量总损失约61.155 Tg,活生物量碳库损失约30.993 Tg C,占全省植被碳库的15.92%.20世纪70年代以前林火生物量碳损失率约占1950—2008年生物量总碳损失的74.3%;90年代以后,年均林火生物量碳损失小于0.097 Tg C.森林火灾释放的CO2、CH4和CO气体分别为5.408 Tg、0.047 Tg和0.486 Tg,有22.436 Tg C活生物量碳进入土壤碳库.2008年初雨雪冰冻灾害引发的高频率次生林火灾害导致森林活生物量碳损失(0.463 Tg C)是前5年平均值(0.181 Tg C)的2.56倍.     

1950—2008年江西省森林火灾的碳损失估算

1950—2008年间江西省年均发生森林火灾762次、年均过火面积1.578×10.4 hm².本文利用江西省森林火灾统计数据,结合气象、森林分布和历次森林清查数据,分析了该省林火的特征,估算历年的林火碳释放量和碳转移量.结果表明： 1950—2008年江西省森林火灾导致的森林生物量总损失约61.155 Tg,活生物量碳库损失约30.993 Tg C,占全省植被碳库的15.92%.20世纪70年代以前林火生物量碳损失率约占1950—2008年生物量总碳损失的74.3%;90年代以后,年均林火生物量碳损失小于0.097 Tg C.森林火灾释放的CO₂、CH₄和CO气体分别为5.408 Tg、0.047 Tg和0.486 Tg,有22.436 Tg C活生物量碳进入土壤碳库.2008年初雨雪冰冻灾害引发的高频率次生林火灾害导致森林活生物量碳损失(0.463 Tg C)是前5年平均值(0.181 Tg C)的2.56倍.     

2000~2050年中国森林生物量碳库: 基于生物量密度与林龄关系的预测

中国森林具有林龄小、平均碳密度低、人工林面积大的特点, 因而具有很高的固碳潜力. 本文根据1994~1998和1999~2003年两期森林资源清查资料中各主要森林类型的林龄组、以及各林龄组的面积和蓄积数据, 分别为36种森林类型建立生物量密度与林龄之间的关系. 在此基础上, 结合中国林业发展规划, 预测到2050年中国森林(不包括经济林和竹林)的生物量碳汇潜力. 结果显示, 在自然生长状况下, 到2050年, 中国现有森林生物量碳库将由1999~2003年的5.86 Pg C增加到10.23 Pg C, 碳汇量为4.37 Pg C; 新造森林将增加碳汇2.86 Pg C; 2000~2050年中国现有森林与新造森林的生物量碳汇合计为7.23 Pg C, 平均年碳汇量为0.14 Pg C/a, 表明中国森林具有较大的碳汇潜力.     

甘肃省森林碳储量现状与固碳速率北大核心CSCD

针对森林碳平衡再评估的重要性和区域尺度森林生态系统碳库量化分配的不确定性,该研究依据全国森林资源连续清查结果中甘肃省各森林类型分布的面积与蓄积比重以及林龄和起源等要素,在甘肃省布设212个样地,经野外调查与采样、室内分析,并对典型样地信息按照面积权重进行尺度扩展,估算了甘肃省森林生态系统碳储量及其分布特征。结果表明:甘肃省森林生态系统总碳储量为612.43 TgC,其中植被生物量碳为179.04 TgC,土壤碳为433.39 TgC。天然林是甘肃省碳储量的主要贡献者,其值为501.42 TgC,是人工林的4.52倍。天然林和人工林的植被碳密度均表现为随林龄的增加而增加的趋势,同一龄组天然林植被碳密度高于人工林。天然林土壤碳密度从幼龄林到过熟林逐渐增加,但人工林土壤碳密度最大值主要为近熟林。全省森林植被碳密度均值为72.43 Mg C·hm–2,天然林和人工林分别为90.52和33.79 Mg C·hm–2。基于森林清查资料和标准样地实测数据,估算出全省天然林和人工林在1996年的植被碳储量为132.47和12.81 TgC,2011年分别为152.41和26.63 TgC,平均固碳速率分别为1.33和0.92 TgC·a–1。甘肃省幼、中龄林面积比重较大,占全省的62.28%,根据碳密度随林龄的动态变化特征,预测这些低龄林将发挥巨大的碳汇潜力。     

长白落叶松人工林乔木层生物量分布特征及其固碳能力研究

基于8~56 a长白落叶松人工林样地生物量调查数据,建立了长白落叶松林各器官生物量模型,探讨了不同林龄长白落叶松人工林干材、树皮、树枝、树叶、树根的生物量分布与变化规律及单木与林分乔木层的固碳能力。结果表明:随着林龄的增大,长白落叶松人工林林木及各器官生物量均呈现不同程度的增加趋势,单株木生物量由8 a时的0.174 kg增加至56 a时的328.196 kg,林分乔木层生物量由8 a时的0.519 t·hm-2增加至56 a时的251.39 t·hm-2,其中树干所占比例最大,且增幅最大。长白落叶松人工林单木平均碳储量为74.822 kg,56 a林分乔木层碳密度为130.455 t·hm-2,平均碳密度达63.113 t·hm-2,各器官碳储量变化规律明显。长白落叶松人工林幼龄林、中龄林、近熟林、成熟林林分乔木层的年平均固碳量分别为0.087、1.193、1.703、2.124 t·hm-2,固碳量年平均增长率排序为中龄林幼龄林成熟林近熟林。研究认为,长白落叶松人工林单株木及林分各器官生物量随林龄增加具有明显的变化规律,成熟林分固碳水平最高,中龄林分后期固碳潜力最大。     

我国主要森林生态系统炭贮量和碳平衡

在广泛收集资料的基础上,估算了我国主要森林生态系统的碳贮量和碳平衡通量,分析了它们的区域特征。主要结果如下：１）我国森林生态系统的平均碳密度是２５８．８３ｔ．ｈｍ＾－２,基本趋势是随纬度的增加而增加;其中植被的平均碳密度是５７．０７ｔ．ｈｍ＾－２,随纬度的增加而减少;土壤碳密度约是植被碳密度的３．４倍,其区域特点与植被碳密度呈相反趋势,随纬度升高而增加;凋落物层平均碳密度是８．２１ｔ．ｈｍ＾－２,     

甘肃省森林碳储量现状与固碳速率

针对森林碳平衡再评估的重要性和区域尺度森林生态系统碳库量化分配的不确定性, 该研究依据全国森林资源连续清查结果中甘肃省各森林类型分布的面积与蓄积比重以及林龄和起源等要素, 在甘肃省布设212个样地, 经野外调查与采样、室内分析, 并对典型样地信息按照面积权重进行尺度扩展, 估算了甘肃省森林生态系统碳储量及其分布特征。结果表明: 甘肃省森林生态系统总碳储量为612.43 Tg C, 其中植被生物量碳为179.04 Tg C, 土壤碳为433.39 Tg C。天然林是甘肃省碳储量的主要贡献者, 其值为501.42 Tg C, 是人工林的4.52倍。天然林和人工林的植被碳密度均表现为随林龄的增加而增加的趋势, 同一龄组天然林植被碳密度高于人工林。天然林土壤碳密度从幼龄林到过熟林逐渐增加, 但人工林土壤碳密度最大值主要为近熟林。全省森林植被碳密度均值为72.43 Mg C·hm^-2, 天然林和人工林分别为90.52和33.79 Mg C·hm^-2。基于森林清查资料和标准样地实测数据, 估算出全省天然林和人工林在1996年的植被碳储量为132.47和12.81 Tg C, 2011年分别为152.41和26.63 Tg C, 平均固碳速率分别为1.33和0.92 Tg C·a^-1。甘肃省幼、中龄林面积比重较大, 占全省的62.28%, 根据碳密度随林龄的动态变化特征, 预测这些低龄林将发挥巨大的碳汇潜力。     

基于CO2FIX模型的华北落叶松人工林碳循环过程

为了探明华北落叶松(Larix gmelinii var. principis-rupprechtii)人工林的碳循环过程, 该研究以河北围场地区的华北落叶松人工林为例, 基于CO2FIX模型, 以在当地的实际调查数据、文献数据作为输入数据, 从生物量、土壤和木质林产品碳库3个方面探讨了华北落叶松人工林的碳循环过程和碳汇能力。结果表明: 华北落叶松人工林土壤碳库最大, 生物量碳库次之, 林产品碳库最小, 但是林产品碳库随时间呈逐渐增加的趋势; 在一个轮伐期内(50年), 每公顷华北落叶松人工林约固定了250 t碳, 其中约70%通过凋落物和采伐剩余物的方式进入土壤碳库, 约30%进入木质林产品碳库; 华北落叶松人工林在生长的大部分时间是一个碳的吸收汇, 而在森林采伐时成为暂时的排放源, 从长时间尺度上看, 每公顷华北落叶松人工林每年大约固定0.3 t左右的碳。该研究结果表明了木质林产品碳库在人工林碳循环中的重要作用, 这将有助于更加全面地认识人工林的碳循环过程和碳汇能力。     

1980—1999年大兴安岭灌木、草本和地被物林火碳释放估算

应用排放因子法,对大兴安岭林区1980-1999年间主要森林类型中灌木、草本和地被物因森林火灾释放的碳量及主要含碳温室气体量进行了估算．结果表明：不同森林类型灌木、草本和地被物的排放因子不同,以杜香-兴安落叶松林的灌木、草本和地被物层CO2排放因子最大,为93．08％,樟子松林最小,为82．56％;樟子松林CO和CxHy排放因子最大,分别为10．25％和0．84％,杜香-兴安落叶松林最小,分别为6．55％和0．30％．结合灌木、草本和地被物层生物量和碳储量数据,得出20年间大兴安岭典型森林类型灌木、草本和地被物层因森林火灾释放的总碳量为6．56Tg,年平均0．33Tg,约占全国森林火灾碳释放量的11．55％～16．30％;直接释放的含碳温室气体22．03Tg,其中CO2的释放量占总释放量的85．20％,CO占总释放量的14．21％,CxHy占总释放量的0．59％．     

Biomass carbon stocks in China’s forests between 2000 and 2050: A prediction based on forest biomass-age relationships

China’s forests are characterized by young forest age, low carbon density and a large area of planted forests, and thus have high potential to act as carbon sinks in the future. Using China’s national forest inventory data during 1994–1998 and 1999–2003, and direct field measurements, we investigated the relationships between forest biomass density and forest age for 36 major forest types. Statistical approaches and the predicted future forest area from the national forestry development plan were applied to estimate the potential of forest biomass carbon storage in China during 2000–2050. Under an assumption of continuous natural forest growth, China’s existing forest biomass carbon (C) stock would increase from 5.86 Pg C (1 Pg=10¹⁵ g) in 1999–2003 to 10.23 Pg C in 2050, resulting in a total increase of 4.37 Pg C. Newly planted forests through afforestation and reforestation will sequestrate an additional 2.86 Pg C in biomass. Overall, China’s forests will potentially act as a carbon sink for 7.23 Pg C during the period 2000–2050, with an average carbon sink of 0.14 Pg C yr⁻¹. This suggests that China’s forests will be a significant carbon sink in the next 50 years.     

Forest biomass carbon sinks in East Asia,with special reference to the relative contributions of forest expansion and forest growth

Forests play an important role in regional and global carbon (C) cycles. With extensive afforestation and reforestation efforts over the last several decades, forests in East Asia have largely expanded, but the dynamics of their C stocks have not been fully assessed. We estimated biomass C stocks of the forests in all five East Asian countries (China, Japan, North Korea, South Korea, and Mongolia) between the 1970s and the 2000s, using the biomass expansion factor method and forest inventory data. Forest area and biomass C density in the whole region increased from 179.78 × 10⁶ ha and 38.6 Mg C ha^?1 in the 1970s to 196.65 × 10⁶ ha and 45.5 Mg C ha^?1 in the 2000s, respectively. The C stock increased from 6.9 Pg C to 8.9 Pg C, with an averaged sequestration rate of 66.9 Tg C yr^?1. Among the five countries, China and Japan were two major contributors to the total region's forest C sink, with respective contributions of 71.1% and 32.9%. In China, the areal expansion of forest land was a larger contributor to C sinks than increased biomass density for all forests (60.0% vs. 40.0%) and for planted forests (58.1% vs. 41.9%), while the latter contributed more than the former for natural forests (87.0% vs. 13.0%). In Japan, increased biomass density dominated the C sink for all (101.5%), planted (91.1%), and natural (123.8%) forests. Forests in South Korea also acted as a C sink, contributing 9.4% of the total region's sink because of increased forest growth (98.6%). Compared to these countries, the reduction in forest land in both North Korea and Mongolia caused a C loss at an average rate of 9.0 Tg C yr^?1, equal to 13.4% of the total region's C sink. Over the last four decades, the biomass C sequestration by East Asia's forests offset 5.8% of its contemporary fossil‐fuel CO₂ emissions.     

2004-2013年山东省森林碳储量及其碳汇经济价值

森林作为陆地生态系统的主体,其林分碳储量及其碳汇经济价值的估算是全球碳循环研究的热点和重要内容。基于2004-2008年和2009-2013年山东省森林资源清查数据以及实测样地数据改进的生物量蓄积量转换参数,利用生物量转换因子连续函数法,估算2004-2013年山东省森林碳储量及其碳汇经济价值动态。研究结果表明,2004-2013年山东省森林面积、碳储量和碳密度分别从2004-2008年的156.12×10⁴hm²、34.75Tg C和22.26Mg C/hm²增加到2009-2013年161.44×10⁴hm²、43.98Tg C和27.24Mg C/hm²。人工林是森林面积、碳储量和碳密度增加的主要贡献者,人工林和天然林对森林生物量碳汇的贡献分别为97.3%和2.7%。两次森林清查期间,杨树和硬阔软阔类森林的碳储量之和分别占全省总量的70.2%和69.6%,杨树的碳储量和碳密度增加最为显著。各龄组森林碳储量由大到小依次为：幼龄林 > 中龄林 > 成熟林 > 近熟林 > 过熟林。森林碳汇经济价值从2004-2008年的243.37亿元增长到2009-2013年的253.42亿元,年均增长2.01亿元,杨树的碳汇经济价值占全省所有森林类型的60%,赤松单位面积碳汇经济价值最强为2.08万元/ha。     

基于遥感降尺度估算中国森林生物量的空间分布

森林生物量是陆地生态系统重要的碳库,其大小与空间分布特征直接影响森林的碳汇潜力。基于空间降尺度技术,以中国第六次国家森林资源清查资料为基础,同时结合1∶100万植被分布图及同期的基于MODIS反演的NPP空间分布,定量估算了1 km分辨率下我国森林生物量的空间分布。结果表明:(1)降尺度技术能有效结合遥感数据的空间特征与地面详查资料的统计特征,从而较好地解决当前生物量估算的区域尺度转化问题;(2)我国森林生物量存在明显的空间分布规律,与水热条件的空间分布格局基本一致,表现为西部较低东部较高,大型山脉分布处较高;(3)我国森林生物量总量11.0 Pg,平均生物量74.8 Mg/hm2,其中高值区主要集中在东北大小兴安岭和长白山地区、新疆山区、西南横断山脉地区以及东南武夷山地区。     

Biomass,Carbon, and Nitrogen Pools in Mexican Tropical Dry Forest Landscapes

Tropical dry forest is the most widely distributed land-cover type in the tropics. As the rate of land-use/land-cover change from forest to pasture or agriculture accelerates worldwide, it is becoming increasingly important to quantify the ecosystem biomass and carbon (C) and nitrogen (N) pools of both intact forests and converted sites. In the central coastal region of México, we sampled total aboveground biomass (TAGB), and the N and C pools of two floodplain forests, three upland dry forests, and four pastures converted from dry forest. We also sampled belowground biomass and soil C and N pools in two sites of each land-cover type. The TAGB of floodplain forests was as high as 416 Mg ha^–1, whereas the TAGB of the dry forest ranged from 94 to 126 Mg ha^–1. The TAGB of pastures derived from dry forest ranged from 20 to 34 Mg ha^–1. Dead wood (standing and downed combined) comprised 27%–29% of the TABG of dry forest but only about 10% in floodplain forest. Root biomass averaged 32.0 Mg ha^–1 in floodplain forest, 17.1 Mg ha^–1 in dry forest, and 5.8 Mg ha^–1 in pasture. Although total root biomass was similar between sites within land-cover types, root distribution varied by depth and by size class. The highest proportion of root biomass occurred in the top 20 cm of soil in all sites. Total aboveground and root C pools, respectively, were 12 and 2.2 Mg ha^–1 in pasture and reached 180 and 12.9 Mg ha^–1 in floodplain forest. Total aboveground and root pools, respectively, were 149 and 47 kg ha^–1 in pasture and reached 2623 and 264 kg ha^–1 in floodplain forest. Soil organic C pools were greater in pastures than in dry forest, but soil N pools were similar when calculated for the same soil depths. Total ecosystem C pools were 306. The Mg ha^–1 in floodplain forest, 141 Mg ha^–1 in dry forest, and 124 Mg ha^–1 in pasture. Soil C comprised 37%–90% of the total ecosystem C, whereas soil N comprised 85%–98% of the total. The N pools lack of a consistent decrease in soil pools caused by land-use change suggests that C and N losses result from the burning of aboveground biomass. We estimate that in México, dry forest landscapes store approximately 2.3 Pg C, which is about equal to the C stored by the evergreen forests of that country (approximately 2.4 Pg C). Potential C emissions to the atmosphere from the burning of biomass in the dry tropical landscapes of México may amount to 708 Tg C, as compared with 569 Tg C from evergreen forests.     

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.     

江西中南部红壤丘陵区主要造林树种碳固定估算

本文根据江西第6次森林清查小班数据,通过基于实地调查数据拟合的森林植被生物量与蓄积量的关系,估算了2003年江西中南部红壤丘陵区泰和县和兴国县主要人工造林树种马尾松、湿地松、杉木林的生物量和碳储量,并采用空间替代时间的方法,利用Logistic方程拟合了三个树种林龄与碳密度的曲线关系,估算了研究区1985-2002年的森林植被生物量和碳储量,分析了时空动态特征。结果表明：(1) 2003年研究区主要造林树种林分面积31.04?10⁴hm²,总生物量22.20Tg,总碳储量13.07TgC,平均碳密度42.36tC/hm²。(2) 1985、1994、2003年三个树种植被碳储量分别为4.91、11.41和13.07TgC,年均固碳量0.45 TgC.a^-1。(3) 海拔位于700-900m之间的树种平均碳密度最大,坡度位于25～35?之间的树种平均碳密度最大。森林植被碳密度总体上呈现随海拔高度的增加而增加,随坡度的增大而增大的分布。人工造林工程使江西中南部红壤丘陵区森林植被碳储量明显增加,合理的森林经营管理可以提高森林生态系统的固碳能力。     

祁连山青海云杉林生物量和碳储量空间分布特征

根据野外调查资料、祁连山地区青海云杉林相图和气象资料,在GIS技术的支持下估算了祁连山地区青海云杉林的生物量和碳储量及其空间分布.结果表明：2008年,研究区青海云杉林平均生物量为209.24 t·hm^-2,总生物量为3.4×10⁷ t;研究区水热条件的差异使青海云杉生物量在地理空间上存在较大的差异性;经度每增加1°,青海云杉生物量增加3.12t·hm^-2;纬度每增加1°,生物量减少3.8 t·hm^-2;海拔每升高100 m,生物量减少0.05 t·hm^-2;2008年,研究区青海云杉林碳密度在70.4～131.1 t·hm^-2,平均碳密度为109.8 t·hm^-2,幼龄林、中龄林、近熟林、成熟林和过熟林的平均碳密度分别为83.8、109.6、122、124.2和117.1 t·hm^-2,研究区青海云杉林总碳储量为1.8×10⁷ t.