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Assessment on Forest Resources Change using Permanent Plot Data in National Forest Inventory

机译:使用国家森林清单中永久性样地数据评估森林资源变化

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摘要

Since 2006, new national forest inventory in Korea has been restructured to assess current status and and monitor the changes in forest resources based on permanent sample plots. The objective of estimate this study is to assess changes in forest resources such as land use/cover categories and forest stand variables. For this study, permanent plot data were collected between 2006-2008 and 2011-2013 in Chungcheongbuk-do, respectively. In order to produce land use/cover change matrix which plays an important role as an activity data for estimating GreenHouse Gas inventory, permanent plots were classified into six land use/cover categories. Additionally, matrixes for assessing the changes in age class and dominant tree species can provide more detailedinformation. For forest stand variables(tree density, basal area, growing stock, mean diameter at breath height, and mean height), their growth and change were assessed. The periodic annual growth ratios for tree density and basal area were slightly declined whereas that of growing stock was estimated to be about 3.7%. The uncertainty of changes in forest stand variables is less than 5%, except for tree density (RSE: 58%). The variation of tree density is relatively high compared to the other variables.
机译:自2006年以来,韩国对新的国家森林清单进行了重组,以评估当前状况并根据永久性样地监测森林资源的变化。估计本研究的目的是评估森林资源的变化,例如土地使用/覆盖类别和林分变量。对于本研究,分别在忠清北道2006-2008年和2011-2013年之间收集了永久样地数据。为了产生在评估温室气体存量活动数据中起重要作用的土地利用/覆盖变化矩阵,永久性地块被分为六个土地利用/覆盖类别。此外,用于评估年龄类别和优势树种变化的矩阵可以提供更详细的信息。对于林分变量(树木密度,基础面积,生长量,呼吸高度的平均直径和平均高度),评估了它们的生长和变化。树木密度和基础面积的周期性年增长率略有下降,而生长种群的周期性年增长率估计约为3.7%。除了树木密度(RSE:58%)以外,林分变量变化的不确定性小于5%。与其他变量相比,树木密度的变化相对较高。

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