When tree rings go global : Challenges and opportunities for retro- and prospective insight
(2018) In Quaternary Science Reviews 197. p.1-20- Abstract
The demand for large-scale and long-term information on tree growth is increasing rapidly as environmental change research strives to quantify and forecast the impacts of continued warming on forest ecosystems. This demand, combined with the now quasi-global availability of tree-ring observations, has inspired researchers to compile large tree-ring networks to address continental or even global-scale research questions. However, these emergent spatial objectives contrast with paleo-oriented research ideas that have guided the development of many existing records. A series of challenges related to how, where, and when samples have been collected is complicating the transition of tree rings from a local to a global resource on the... (More)
The demand for large-scale and long-term information on tree growth is increasing rapidly as environmental change research strives to quantify and forecast the impacts of continued warming on forest ecosystems. This demand, combined with the now quasi-global availability of tree-ring observations, has inspired researchers to compile large tree-ring networks to address continental or even global-scale research questions. However, these emergent spatial objectives contrast with paleo-oriented research ideas that have guided the development of many existing records. A series of challenges related to how, where, and when samples have been collected is complicating the transition of tree rings from a local to a global resource on the question of tree growth. Herein, we review possibilities to scale tree-ring data (A) from the sample to the whole tree, (B) from the tree to the site, and (C) from the site to larger spatial domains. Representative tree-ring sampling supported by creative statistical approaches is thereby key to robustly capture the heterogeneity of climate-growth responses across forested landscapes. We highlight the benefits of combining the temporal information embedded in tree rings with the spatial information offered by forest inventories and earth observations to quantify tree growth and its drivers. In addition, we show how the continued development of mechanistic tree-ring models can help address some of the non-linearities and feedbacks that complicate making inference from tree-ring data. By embracing scaling issues, the discipline of dendrochronology will greatly increase its contributions to assessing climate impacts on forests and support the development of adaptation strategies.
(Less)
- author
- Babst, Flurin
; Bodesheim, Paul
; Charney, Noah
; Friend, Andrew D.
; Girardin, Martin P.
; Klesse, Stefan
; Moore, David J.P.
; Seftigen, Kristina
; Björklund, Jesper
; Bouriaud, Olivier
; Dawson, Andria
; DeRose, R. Justin
; Dietze, Michael C.
; Eckes, Annemarie H.
LU
; Enquist, Brian
; Frank, David C.
; Mahecha, Miguel D.
; Poulter, Benjamin
; Record, Sydne
; Trouet, Valerie
; Turton, Rachael H.
; Zhang, Zhen
and Evans, Margaret E.K.
(Less) - publishing date
- 2018-10-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Anthropocene, Climate change, Data integration, Dendrochronology, Forest growth, Forest inventory, Remote sensing, Scaling, Vegetation models
- in
- Quaternary Science Reviews
- volume
- 197
- pages
- 20 pages
- publisher
- Elsevier
- external identifiers
-
- scopus:85051103830
- ISSN
- 0277-3791
- DOI
- 10.1016/j.quascirev.2018.07.009
- language
- English
- LU publication?
- no
- additional info
- Funding Information: F.B., P.B., and M.D.M. acknowledge funding from the EU-H2020 program (grant 640176, “BACI”). F.B. acknowledges funding from the Swiss National Science Foundation (#P300P2_154543). S.K. acknowledges the support of the USDA-AFRI grant 2016-67003-24944. A.D.F and R.H.T acknowledge support from the Natural Environment Research Council through grant number NE/P011462/1. Publisher Copyright: © 2018 Elsevier Ltd Copyright: Copyright 2018 Elsevier B.V., All rights reserved.
- id
- 06beff56-cd5f-4836-9c56-7b1382fd9840
- date added to LUP
- 2021-05-12 13:46:01
- date last changed
- 2022-04-27 01:57:12
@article{06beff56-cd5f-4836-9c56-7b1382fd9840,
abstract = {{<p>The demand for large-scale and long-term information on tree growth is increasing rapidly as environmental change research strives to quantify and forecast the impacts of continued warming on forest ecosystems. This demand, combined with the now quasi-global availability of tree-ring observations, has inspired researchers to compile large tree-ring networks to address continental or even global-scale research questions. However, these emergent spatial objectives contrast with paleo-oriented research ideas that have guided the development of many existing records. A series of challenges related to how, where, and when samples have been collected is complicating the transition of tree rings from a local to a global resource on the question of tree growth. Herein, we review possibilities to scale tree-ring data (A) from the sample to the whole tree, (B) from the tree to the site, and (C) from the site to larger spatial domains. Representative tree-ring sampling supported by creative statistical approaches is thereby key to robustly capture the heterogeneity of climate-growth responses across forested landscapes. We highlight the benefits of combining the temporal information embedded in tree rings with the spatial information offered by forest inventories and earth observations to quantify tree growth and its drivers. In addition, we show how the continued development of mechanistic tree-ring models can help address some of the non-linearities and feedbacks that complicate making inference from tree-ring data. By embracing scaling issues, the discipline of dendrochronology will greatly increase its contributions to assessing climate impacts on forests and support the development of adaptation strategies.</p>}},
author = {{Babst, Flurin and Bodesheim, Paul and Charney, Noah and Friend, Andrew D. and Girardin, Martin P. and Klesse, Stefan and Moore, David J.P. and Seftigen, Kristina and Björklund, Jesper and Bouriaud, Olivier and Dawson, Andria and DeRose, R. Justin and Dietze, Michael C. and Eckes, Annemarie H. and Enquist, Brian and Frank, David C. and Mahecha, Miguel D. and Poulter, Benjamin and Record, Sydne and Trouet, Valerie and Turton, Rachael H. and Zhang, Zhen and Evans, Margaret E.K.}},
issn = {{0277-3791}},
keywords = {{Anthropocene; Climate change; Data integration; Dendrochronology; Forest growth; Forest inventory; Remote sensing; Scaling; Vegetation models}},
language = {{eng}},
month = {{10}},
pages = {{1--20}},
publisher = {{Elsevier}},
series = {{Quaternary Science Reviews}},
title = {{When tree rings go global : Challenges and opportunities for retro- and prospective insight}},
url = {{http://dx.doi.org/10.1016/j.quascirev.2018.07.009}},
doi = {{10.1016/j.quascirev.2018.07.009}},
volume = {{197}},
year = {{2018}},
}