首页> 外文期刊>International journal of applied earth observation and geoinformation >Timber production assessment of a plantation forest: An integrated framework with field-based inventory, multi-source remote sensing data and forest management history
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Timber production assessment of a plantation forest: An integrated framework with field-based inventory, multi-source remote sensing data and forest management history

机译:人工林的木材产量评估:一个集成的框架,其中包含基于实地的清单,多源遥感数据和森林管理历史

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Timber production is the purpose for managing plantation forests, and its spatial and quantitative information is critical for advising management strategies. Previous studies have focused on growing stock volume (GSV), which represents the current potential of timber production, yet few studies have investigated historical process-harvested timber. This resulted in a gap in a synthetical ecosystem service assessment of timber production. In this paper, we established a Management Process-based Timber production (MPT) framework to integrate the current GSV and the harvested timber derived from historical logging regimes, trying to synthetically assess timber production for a historical period. In the MPT framework, age-class and current GSV determine the times of historical thinning and the corresponding harvested timber, by using a "space-for-time" substitution. The total timber production can be estimated by the historical harvested timber in each thinning and the current GSV. To test this MPT framework, an empirical study on a larch plantation (LP) with area of 43,946 ha was conducted in North China for a period from 1962 to 2010. Field-based inventory data was integrated with ALOS PALSAR (Advanced Land-Observing Satellite Phased Array L-band Synthetic Aperture Radar) and Landsat-8 OLI (Operational Land Imager) data for estimating the age-class and current GSV of LP. The random forest model with PALSAR backscatter intensity channels and OLI bands as input predictive variables yielded an accuracy of 67.9% with a Kappa coefficient of 0.59 for age-class classification. The regression model using PALSAR data produced a root mean square error (RMSE) of 36.5 m(3) ha(-1). The total timber production of LP was estimated to be 7.27 x 10(6) m(3), with 4.87 x 10(6) m(3) in current GSV and 2.40 x 10(6) m(3) in harvested timber through historical thinning. The historical process-harvested timber accounts to 33.0% of the total timber production, which component has been neglected in the assessments for current status of plantation forests. Synthetically considering the RMSE for predictive GSV and misclassification of age-class, the error in timber production were supposed to range from -55.2 to 56.3 m(3) ha(-1). The MPT framework can be used to assess timber production of other tree species at a larger spatial scale, providing crucial information for a better understanding of forest ecosystem service. (C) 2016 Elsevier B.V. All rights reserved.
机译:木材生产是管理人工林的目的,其空间和定量信息对于建议管理策略至关重要。先前的研究集中在不断增长的木材蓄积量(GSV)上,这代表了木材生产的当前潜力,但很少有研究调查过历史加工过的木材。这导致木材生产的综合生态系统服务评估出现差距。在本文中,我们建立了一个基于管理流程的木材生产(MPT)框架,以整合当前的GSV和来自历史采伐制度的采伐木材,试图对历史时期的木材产量进行综合评估。在MPT框架中,年龄级别和当前的GSV通过使用“时空”替代来确定历史间伐时间和相应的采伐木材时间。可以通过每次伐木中的历史采伐木材和当前的GSV来估算木材总产量。为了测试该MPT框架,对华北地区1962年至2010年的一个落叶松人工林(LP)进行了1962年至2010年的实证研究。基于实地的清单数据与ALOS PALSAR(高级陆地观测卫星)集成相控阵L波段合成孔径雷达)和Landsat-8 OLI(作战陆地成像仪)数据用于估算LP的年龄等级和当前GSV。以PALSAR背向散射强度通道和OLI波段作为输入预测变量的随机森林模型得出的年龄类别分类的准确度为67.9%,卡伯系数为0.59。使用PALSAR数据的回归模型产生的均方根误差(RMSE)为36.5 m(3)ha(-1)。 LP的木材总产量估计为7.27 x 10(6)m(3),目前的GSV中为4.87 x 10(6)m(3),而通过采伐的木材则为2.40 x 10(6)m(3)。历史变薄。历来经过加工的木材占木材总产量的33.0%,在对人工林现状的评估中忽略了这一组成部分。综合考虑RMSE预测的GSV和年龄分类的错误分类,木材生产的误差应在-55.2至56.3 m(3)ha(-1)范围内。 MPT框架可用于在更大的空间范围内评估其他树种的木材生产,提供关键信息以更好地了解森林生态系统服务。 (C)2016 Elsevier B.V.保留所有权利。

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