DOI: 10.1016/j.jag.2016.06.004
Scopus记录号: 2-s2.0-84997769353
论文题名: Timber production assessment of a plantation forest: An integrated framework with field-based inventory, multi-source remote sensing data and forest management history
作者: Gao T ; , Zhu J ; , Deng S ; , Zheng X ; , Zhang J ; , Shang G ; , Huang L
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 52 起始页码: 155
结束页码: 165
语种: 英语
英文关键词: Age-class
; ALOS PALSAR
; Growing stock volume
; Harvested timber
; Landsat-8 OLI
; Larch plantation
; Logging regime
; Radar backscatter
; Random forest model
Scopus关键词: age class
; ALOS
; backscatter
; forest management
; forestry production
; integrated approach
; inventory
; Landsat
; logging (timber)
; PALSAR
; plantation forestry
; radar
; remote sensing
; timber harvesting
; China
; Larix
英文摘要: 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 m3 ha−1. The total timber production of LP was estimated to be 7.27 × 106 m3, with 4.87 × 106 m3 in current GSV and 2.40 × 106 m3 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 m3 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. © 2016 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80046
Appears in Collections: 气候变化事实与影响
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作者单位: Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China; Qingyuan Forest CERN, Chinese Academy of Sciences, Shenyang, China; Institute of Mountain Science, Shinshu University, Nagano, Japan; University of Chinese Academy of Sciences, Beijing, China
Recommended Citation:
Gao T,, Zhu J,, Deng S,et al. Timber production assessment of a plantation forest: An integrated framework with field-based inventory, multi-source remote sensing data and forest management history[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,52