Predicting individual tree growth using stand-level simulation, diameter distribution, and Bayesian calibration-Reference-Cited by-同舟云学术

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Predicting individual tree growth using stand-level simulation, diameter distribution, and Bayesian calibration

Published:2020-06 Issue:2 Volume:77 Page:
ISSN:1286-4560
Container-title:Annals of Forest Science
language:en
Short-container-title:Annals of Forest Science

Author:

Tian Xianglin,Sun Shuaichao,Mola-Yudego Blas,Cao Tianjian

Funder

National Natural Science Foundation of China

National Forest Management Program of China

Publisher

Springer Science and Business Media LLC

Subject

Ecology,Forestry

Link

https://link.springer.com/content/pdf/10.1007/s13595-020-00970-0.pdf

Reference56 articles.

1. Altrell D (2019) Multipurpose National Forest Inventory in Mongolia, 2014-2017-a tool to support sustainable forest management. Geogr Environ Sustain 12:167–183. https://doi.org/10.24057/2071-9388-2019-36

2. Assmann E (1970) The principles of forest yield study. Pergamon, Oxford

3. Bailey RL, Clutter JL (1974) Base-age invariant polymorphic site curves. For Sci 20:155–159

4. von Baur F (1876) Die Fichte in Bezug auf Ertrag, Zuwachs und Form. Springer, Berlin https://doi.org/10.1007/978-3-642-91377-8

5. Brooks SP, Gelman A (1998) General methods for monitoring convergence of iterative simulations. J Comput Graph Stat 7:434–455. https://doi.org/10.1080/10618600.1998.10474787

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