Modeling tree mortality in relation to climate, initial planting density, and competition in Chinese fir plantations using a Bayesian logistic multilevel method-Reference-Cited by-同舟云学术

Modeling tree mortality in relation to climate, initial planting density, and competition in Chinese fir plantations using a Bayesian logistic multilevel method

Published:2017-09 Issue:9 Volume:47 Page:1278-1285
ISSN:0045-5067
Container-title:Canadian Journal of Forest Research
language:en
Short-container-title:Can. J. For. Res.

Author:

Zhang Xiongqing¹²,Cao Quang V.³,Duan Aiguo¹²,Zhang Jianguo¹²

Affiliation:

1. State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of the State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, P.R. China.

2. Collaborative Innovation Center of Sustainable Forestry in Southern China, Nanjing Forestry University, No. 159 Lonpan Road, Nanjing, 210037, Jiangsu, China.

3. School of Renewable Natural Resources, Louisiana State University, Agricultural Center, Baton Rouge, LA 70803, USA.

Publisher

Canadian Science Publishing

Subject

Ecology,Forestry,Global and Planetary Change

Link

http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfr-2017-0215

Reference74 articles.

1. Modeling individual-tree mortality in Pyrenean oak (Quercus pyrenaica Willd.) stands

2. Temperature sensitivity of drought-induced tree mortality portends increased regional die-off under global-change-type drought

3. Effects of planting density and cultural intensity on stand and crown attributes of mid-rotation loblolly pine plantations

4. A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests

5. Modeling survival of loblolly pine trees in thinned and unthinned plantations

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