Decreasing the error in the measurement of the ecosystem effective leaf area index of a Pinus massoniana forest

Decreasing the error in the measurement of the ecosystem effective leaf area index of a Pinus... J. For. Res. https://doi.org/10.1007/s11676-018-0698-2 ORIGINAL PAPER Decreasing the error in the measurement of the ecosystem effective leaf area index of a Pinus massoniana forest 1,2 1,2 1,2 1,2 1,2 • • • • Zhanghao Chen Kunyong Yu Jian Liu Fan Wang Yi Zhong Received: 28 September 2017 / Accepted: 18 December 2017 Northeast Forestry University and Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract Decreasing the forest ecosystem leaf-area index pre-recomputation and post-recomputation of the canopy 2 2 error (LAIe) helps accurately estimate the growth and light and forest ecosystem LAIe (R C 0.96 and R C 0.99, energy utilization of aboveground foliage. Analyzing light respectively); thus, the error was decreased. Measuring transmission in forest ecosystems can effectively determine field LAIe with the LAI-2200 PCA and recomputation LAIe. The LAI-2200 plant canopy analyzer (PCA) is used should compensate for LAIe underestimation in complex extensively for rapid field-effective LAI (LAIe) measure- forest ecosystems. ments and primarily to measure forest canopy LAIe values. However, sometimes this parameter must also be measured Keywords LAI-2200 PCA  Field LAIe measurement in forests with small clearings. In this study, we used the error  Error reduction  Pinus massoniana forest LAI-2200 PCA to http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Forestry Research Springer Journals

Decreasing the error in the measurement of the ecosystem effective leaf area index of a Pinus massoniana forest

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Publisher
Springer Journals
Copyright
Copyright © 2018 by Northeast Forestry University and Springer-Verlag GmbH Germany, part of Springer Nature
Subject
Life Sciences; Forestry
ISSN
1007-662X
eISSN
1993-0607
D.O.I.
10.1007/s11676-018-0698-2
Publisher site
See Article on Publisher Site

Abstract

J. For. Res. https://doi.org/10.1007/s11676-018-0698-2 ORIGINAL PAPER Decreasing the error in the measurement of the ecosystem effective leaf area index of a Pinus massoniana forest 1,2 1,2 1,2 1,2 1,2 • • • • Zhanghao Chen Kunyong Yu Jian Liu Fan Wang Yi Zhong Received: 28 September 2017 / Accepted: 18 December 2017 Northeast Forestry University and Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract Decreasing the forest ecosystem leaf-area index pre-recomputation and post-recomputation of the canopy 2 2 error (LAIe) helps accurately estimate the growth and light and forest ecosystem LAIe (R C 0.96 and R C 0.99, energy utilization of aboveground foliage. Analyzing light respectively); thus, the error was decreased. Measuring transmission in forest ecosystems can effectively determine field LAIe with the LAI-2200 PCA and recomputation LAIe. The LAI-2200 plant canopy analyzer (PCA) is used should compensate for LAIe underestimation in complex extensively for rapid field-effective LAI (LAIe) measure- forest ecosystems. ments and primarily to measure forest canopy LAIe values. However, sometimes this parameter must also be measured Keywords LAI-2200 PCA  Field LAIe measurement in forests with small clearings. In this study, we used the error  Error reduction  Pinus massoniana forest LAI-2200 PCA to

Journal

Journal of Forestry ResearchSpringer Journals

Published: Jun 1, 2018

References

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