| Item type |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2021-02-22 |
| タイトル |
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タイトル |
Timber production assessment of a plantation forest: An integrated framework with field-based inventory, multi-source remote sensing data and forest management history |
| 言語 |
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言語 |
eng |
| DOI |
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関連識別子 |
https://doi.org/10.1016/j.jag.2016.06.004 |
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関連名称 |
10.1016/j.jag.2016.06.004 |
| キーワード |
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主題 |
Larch plantation, Growing stock volume, Harvested timber, Age-class, Radar backscatter, ALOS PALSAR, Landsat-8 OLI, Random forest model, Logging regime |
| 資源タイプ |
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資源 |
http://purl.org/coar/resource_type/c_6501 |
|
タイプ |
journal article |
| 著者 |
Gao, Tian
Zhu, Jiaojun
Deng, Songqiu
Zheng, Xiao
Zhang, Jinxin
Shang, Guiduo
Huang, Liyan
|
| 信州大学研究者総覧へのリンク |
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氏名 |
Deng, Songqiu |
|
URL |
https://soar-rd.shinshu-u.ac.jp/profile/ja.OFfhupyC.html |
| 出版者 |
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出版者 |
ELSEVIER |
| 引用 |
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内容記述 |
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION.52:155-165(2016) |
| 書誌情報 |
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
巻 52,
p. 155-165,
発行日 2016-10
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| 抄録 |
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内容記述 |
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. |
| 資源タイプ（コンテンツの種類） |
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| ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
0303-2434 |
| 書誌レコードID |
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収録物識別子タイプ |
NCID |
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収録物識別子 |
AA11821649 |
| 権利 |
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|
権利情報 |
© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| 出版タイプ |
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出版タイプ |
AM |
|
出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
| WoS |
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URL |
http://gateway.isiknowledge.com/gateway/Gateway.cgi?&GWVersion=2&SrcAuth=ShinshuUniv&SrcApp=ShinshuUniv&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000383003500015 |
16K18716_08.pdf (1.8 MB)
