Testing a generalized leaf mass estimation method for diverse tree species and climates of the continental United States-Reference-Cited by-同舟云学术

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Testing a generalized leaf mass estimation method for diverse tree species and climates of the continental United States

Published:2022-06-16 Issue:7 Volume:32 Page:
ISSN:1051-0761
Container-title:Ecological Applications
language:en
Short-container-title:Ecological Applications

Author:

Dettmann Garret T.¹,MacFarlane David W.²,Radtke Philip J.¹,Weiskittel Aaron R.³^ORCID,Affleck David L. R.⁴,Poudel Krishna P.⁵,Westfall James⁶

Affiliation:

1. Virginia Tech, Forest Resources and Environmental Conservation Blacksburg Virginia USA

2. Department of Forestry Michigan State University East Lansing Michigan USA

3. Center for Research on Sustainable Forests University of Maine Orono Maine USA

4. WA Franke College of Forestry and Conservation University of Montana Missoula Montana USA

5. Department of Forestry Mississippi State University Mississippi State Mississippi USA

6. USDA Forest Service, Northern Research Station Newtown Square Pennsylvania USA

Funder

National Institute of Food and Agriculture

Publisher

Wiley

Subject

Ecology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/eap.2646

Reference103 articles.

1. Leaf structural characteristics of 31 hardwood and conifer tree species in central Wisconsin: Influence of light regime and shade-tolerance rank

2. Biophysical climate impacts of recent changes in global forest cover

3. Effects of neighbours on crown length of Abies lasiocarpa and Picea engelmannii in two old-growth stands in British Columbia

4. Impact of growth temperature on scaling relationships linking photosynthetic metabolism to leaf functional traits

5. Auguie B. andA.Antonov.2017. “GridExtra: Miscellaneous Functions for “Grid” Graphics (version 2.3).”https://CRAN.R-project.org/package=gridExtra.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluating the Development and Application of Stand Density Index for the Management of Complex and Adaptive Forests;Current Forestry Reports;2024-02-08

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