When tree rings go global: Challenges and opportunities for retro- and prospective insight

QUATERNARY SCIENCE REVIEWS

卷:197

Review

Babst, Flurin^1,2,3  Bodesheim, Paul⁴  Charney, Noah⁵  Friend, Andrew D.⁶  Girardin, Martin P.⁷  Klesse, Stefan³  Moore, David J. P.⁸  Seftigen, Kristina^9,14  Bjorklund, Jesper^1,10  Dawson, Andria⁸  Eckes, Annemarie H.⁶  Enquist, Brian⁵  Frank, David C.^1,3  Mahecha, Miguel D.⁴  Poulter, Benjamin¹¹  Record, Sydne¹²  Trouet, Valerie^3,8  Turton, Rachael H.⁶  Zhang, Zhen^1,13  Evans, Margaret E. K.³ 

[1] Swiss Fed Res Inst WSL, Dendro Sci Grp, Zurcherstr 111, CH-8903 Birmensdorf, Switzerland

[2] Polish Acad Sci, W Szafer Inst Bot, Dept Ecol, Ul Lubicz 46, PL-31512 Krakow, Poland

[3] Univ Arizona, Tree Ring Res Lab, 1215 E Lowell St, Tucson, AZ 85721 USA

[4] Max Planck Inst Biogeochem, Jena, Germany

[5] Univ Arizona, Dept Ecol & Evolutionary Biol, Tucson, AZ USA

[6] Univ Cambridge, Dept Geog, Cambridge, England

[7] Nat Resources Canada, Laurentian Forestry Ctr, Quebec City, PQ, Canada

[8] Univ Arizona, Sch Nat Resources & Environm, Tucson, AZ USA

[9] Univ Gothenburg, Dept Earth Sci, Gothenburg, Sweden

[10] Czech Univ Life Sci, Fac Forestry & Wood Sci, EXTEMIT K, Prague, Czech Republic

[11] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA

[12] Bryn Mawr Coll, Dept Biol, Bryn Mawr, PA 19010 USA

[13] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA

[14] Catholic Univ Louvain, Earth & Life Inst, Georges Lemaitre Ctr Earth & Climate Res TECLIM, Leuven, Belgium

关键词: Dendrochronology;    Scaling;    Data integration;    Climate change;    Forest growth;    Vegetation models;    Remote sensing;    Forest inventory;    Anthropocene;   

DOI  :  10.1016/j.quascirev.2018.07.009

来源: Elsevier

【 摘 要 】

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. (C) 2018 Elsevier Ltd. All rights reserved.

【 授权许可】

Free