Abstract

Sampling strategies may bias tree-ring datasets to not accurately represent the regional response to climate change. Here, Klesse et al. use a new representative dataset to show that the International Tree-Ring Data Bank in the U.S. Southwest overestimates climate sensitivity of forests by 41–59%

Details

Title
Sampling bias overestimates climate change impacts on forest growth in the southwestern United States
Author
Klesse, Stefan 1   VIAFID ORCID Logo  ; DeRose, R Justin 2 ; Guiterman, Christopher H 1 ; Lynch, Ann M 3 ; Christopher D O’Connor 4 ; Shaw, John D 2 ; Evans, Margaret E K 1 

1  Laboratory of Tree-Ring Research, University of Arizona, Tucson, AZ, USA 
2  U.S. Forest Service, Rocky Mountain Research Station, Forest Inventory and Analysis, Ogden, UT, USA 
3  Laboratory of Tree-Ring Research, University of Arizona, Tucson, AZ, USA; U.S. Forest Service, Rocky Mountain Research Station, Tucson, AZ, USA 
4  U.S. Forest Service, Rocky Mountain Research Station, Missoula, MT, USA 
Pages
1-9
Publication year
2018
Publication date
Dec 2018
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41467-018-07800-y
ProQuest document ID
2157867002
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.