Literature DB >> 30125446

Tree carbon allocation explains forest drought-kill and recovery patterns.

A T Trugman1, M Detto2, M K Bartlett2, D Medvigy3, W R L Anderegg1, C Schwalm4,5, B Schaffer6, S W Pacala2.   

Abstract

The mechanisms governing tree drought mortality and recovery remain a subject of inquiry and active debate given their role in the terrestrial carbon cycle and their concomitant impact on climate change. Counter-intuitively, many trees do not die during the drought itself. Indeed, observations globally have documented that trees often grow for several years after drought before mortality. A combination of meta-analysis and tree physiological models demonstrate that optimal carbon allocation after drought explains observed patterns of delayed tree mortality and provides a predictive recovery framework. Specifically, post-drought, trees attempt to repair water transport tissue and achieve positive carbon balance through regrowing drought-damaged xylem. Furthermore, the number of years of xylem regrowth required to recover function increases with tree size, explaining why drought mortality increases with size. These results indicate that tree resilience to drought-kill may increase in the future, provided that CO2 fertilisation facilitates more rapid xylem regrowth.
© 2018 John Wiley & Sons Ltd/CNRS.

Entities:  

Keywords:  CO2 fertilisation; Carbon metabolism; drought; hydraulic-carbon coupling; lagged mortality; optimality theory; plant hydraulics; stem respiration; vegetation model; xylem damage

Mesh:

Substances:

Year:  2018        PMID: 30125446     DOI: 10.1111/ele.13136

Source DB:  PubMed          Journal:  Ecol Lett        ISSN: 1461-023X            Impact factor:   9.492


  28 in total

1.  Rhizosphere activity in an old-growth forest reacts rapidly to changes in soil moisture and shapes whole-tree carbon allocation.

Authors:  Jobin Joseph; Decai Gao; Bernhard Backes; Corinne Bloch; Ivano Brunner; Gerd Gleixner; Matthias Haeni; Henrik Hartmann; Günter Hoch; Christian Hug; Ansgar Kahmen; Marco M Lehmann; Mai-He Li; Jörg Luster; Martina Peter; Christian Poll; Andreas Rigling; Kaisa A Rissanen; Nadine K Ruehr; Matthias Saurer; Marcus Schaub; Leonie Schönbeck; Benjamin Stern; Frank M Thomas; Roland A Werner; Willy Werner; Thomas Wohlgemuth; Frank Hagedorn; Arthur Gessler
Journal:  Proc Natl Acad Sci U S A       Date:  2020-09-21       Impact factor: 11.205

2.  Drought-Induced Xylem Embolism Limits the Recovery of Leaf Gas Exchange in Scots Pine.

Authors:  Romy Rehschuh; Angelica Cecilia; Marcus Zuber; Tomáš Faragó; Tilo Baumbach; Henrik Hartmann; Steven Jansen; Stefan Mayr; Nadine Ruehr
Journal:  Plant Physiol       Date:  2020-08-20       Impact factor: 8.340

3.  Temporal trade-off between gymnosperm resistance and resilience increases forest sensitivity to extreme drought.

Authors:  Xiangyi Li; Shilong Piao; Kai Wang; Xuhui Wang; Tao Wang; Philippe Ciais; Anping Chen; Xu Lian; Shushi Peng; Josep Peñuelas
Journal:  Nat Ecol Evol       Date:  2020-06-15       Impact factor: 15.460

4.  Tree growth sensitivity to climate varies across a seasonal precipitation gradient.

Authors:  Larissa Yocom; Kiona Ogle; Drew Peltier; Paul Szejner; Yao Liu; Russell K Monson
Journal:  Oecologia       Date:  2022-04-17       Impact factor: 3.225

Review 5.  Continent-wide synthesis of the long-term population dynamics of quaking aspen in the face of accelerating human impacts.

Authors:  Tyler K Refsland; J Hall Cushman
Journal:  Oecologia       Date:  2021-08-07       Impact factor: 3.225

6.  A meta-analysis of 1,119 manipulative experiments on terrestrial carbon-cycling responses to global change.

Authors:  Jian Song; Shiqiang Wan; Shilong Piao; Alan K Knapp; Aimée T Classen; Sara Vicca; Philippe Ciais; Mark J Hovenden; Sebastian Leuzinger; Claus Beier; Paul Kardol; Jianyang Xia; Qiang Liu; Jingyi Ru; Zhenxing Zhou; Yiqi Luo; Dali Guo; J Adam Langley; Jakob Zscheischler; Jeffrey S Dukes; Jianwu Tang; Jiquan Chen; Kirsten S Hofmockel; Lara M Kueppers; Lindsey Rustad; Lingli Liu; Melinda D Smith; Pamela H Templer; R Quinn Thomas; Richard J Norby; Richard P Phillips; Shuli Niu; Simone Fatichi; Yingping Wang; Pengshuai Shao; Hongyan Han; Dandan Wang; Lingjie Lei; Jiali Wang; Xiaona Li; Qian Zhang; Xiaoming Li; Fanglong Su; Bin Liu; Fan Yang; Gaigai Ma; Guoyong Li; Yanchun Liu; Yinzhan Liu; Zhongling Yang; Kesheng Zhang; Yuan Miao; Mengjun Hu; Chuang Yan; Ang Zhang; Mingxing Zhong; Yan Hui; Ying Li; Mengmei Zheng
Journal:  Nat Ecol Evol       Date:  2019-08-19       Impact factor: 15.460

7.  Declining carbohydrate content of Sitka-spruce treesdying from seawater exposure.

Authors:  Peipei Zhang; Nate G McDowell; Xuhui Zhou; Wenzhi Wang; Riley T Leff; Alexandria L Pivovaroff; Hongxia Zhang; Pak S Chow; Nicholas D Ward; Julia Indivero; Steven B Yabusaki; Scott Waichler; Vanessa L Bailey
Journal:  Plant Physiol       Date:  2021-04-23       Impact factor: 8.340

8.  The Widened Pipe Model of plant hydraulic evolution.

Authors:  Loren Koçillari; Mark E Olson; Samir Suweis; Rodrigo P Rocha; Alberto Lovison; Franco Cardin; Todd E Dawson; Alberto Echeverría; Alex Fajardo; Silvia Lechthaler; Cecilia Martínez-Pérez; Carmen Regina Marcati; Kuo-Fang Chung; Julieta A Rosell; Alí Segovia-Rivas; Cameron B Williams; Emilio Petrone-Mendoza; Andrea Rinaldo; Tommaso Anfodillo; Jayanth R Banavar; Amos Maritan
Journal:  Proc Natl Acad Sci U S A       Date:  2021-06-01       Impact factor: 11.205

9.  Splitting the Difference: Heterogeneous Soil Moisture Availability Affects Aboveground and Belowground Reserve and Mass Allocation in Trembling Aspen.

Authors:  Ashley T Hart; Morgane Merlin; Erin Wiley; Simon M Landhäusser
Journal:  Front Plant Sci       Date:  2021-05-14       Impact factor: 5.753

10.  Peak radial growth of diffuse-porous species occurs during periods of lower water availability than for ring-porous and coniferous trees.

Authors:  Loïc D'Orangeville; Malcolm Itter; Dan Kneeshaw; J William Munger; Andrew D Richardson; James M Dyer; David A Orwig; Yude Pan; Neil Pederson
Journal:  Tree Physiol       Date:  2022-02-09       Impact factor: 4.196

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