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Description of a new procedure to estimate the carbon stocks of all forest pools and impact assessment of methodological choices on the estimates

机译:描述一种估算所有森林池碳储量的新程序,以及评估方法选择对估算的影响

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摘要

Forest ecosystems play a major role in atmosphericcarbon sequestration and emission. Comparableorganic carbon stock estimates at temporal and spatial scalesfor all forest pools are needed for scientific investigationsand political purposes. Therefore, we developed a new carbonstock (CS) estimation procedure that combines forestinventory and soil and litter geodatabases at a regional scale(southern Belgium). This procedure can be implemented inother regions and countries on condition that availableexternal carbon soil and litter data can be linked to forestinventory plots. The presented procedure includes a specificCS estimation method for each of the following forest poolsand subpools (in brackets): living biomass (aboveground andbelowground), deadwood (dead trees and snags, coarsewoody debris and stumps), litter, and soil. The total CS of theforest was estimated at 86 Tg (185 Mg ha-1). Soil up to0.2 m depth, living biomass, litter, and deadwood CSsaccount, respectively, for 48, 47, 4, and 1 % of the total CS.The analysis of the CS variation within the pools acrossecoregions and forest types revealed in particular that: (1) theliving biomass CS of broadleaved forests exceeds that ofconiferous forests, (2) the soil and litter CSs of coniferousforest exceed those of broadleaved forests, and (3) beechstands come at the top in carbon stocking capacity. Becauseour estimates differ sometimes significantly from the previousstudies, we compared different methods and theirimpacts on the estimates. We demonstrated that estimatesmay vary highly, from -16 to ?12 %, depending on theselected methods. Methodological choices are thus essentialespecially for estimating CO2 fluxes by the stock changeapproach. The sources of error and the accuracy of the estimateswere discussed extensively.
机译:森林生态系统在大气碳固存和排放中起着重要作用。为了科学研究和政治目的,需要对所有森林库进行时空尺度的可比有机碳储量估算。因此,我们开发了一种新的碳储量(CS)估算程序,该程序在区域范围内(比利时南部)结合了森林清单以及土壤和垃圾地理数据库。该程序可以在其他地区和国家/地区执行,条件是可用的外部碳土壤和垃圾数据可以与森林清单区划相关联。提出的程序包括针对以下每个森林池和子池(在括号中)的特定CS估计方法:活生物量(地上和地下),枯木(死木和断枝,粗木屑和树桩),枯枝落叶和土壤。森林的总CS估计为86 Tg(185 Mg ha-1)。高达0.2 m深度的土壤,活生物量,枯枝落叶和枯木CS分别占总CS的48%,47%,4%和1%。对整个生态区和森林类型中的CS变化进行分析后发现认为:(1)阔叶林的生物量CS超过针叶林;(2)针叶林的土壤和垃圾CS超过阔叶林;(3)山毛榉碳储量最高。由于我们的估计有时与以前的研究大不相同,因此我们比较了不同的方法及其对估计的影响。我们证明了估计值可能会变化很大,从-16%到?12%,这取决于所选的方法。因此,方法的选择尤其对于通过库变化方法估算CO2通量至关重要。误差的来源和估计的准确性得到了广泛的讨论。

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