Literature DB >> 31397053

Ecological memory of daily carbon exchange across the globe and its importance in drylands.

Yao Liu1,2, Christopher R Schwalm3,4, Kimberly E Samuels-Crow2, Kiona Ogle2,4,5.   

Abstract

How do antecedent (past) conditions influence land-carbon dynamics after those conditions no longer persist? In particular, quantifying such memory effects associated with the influence of past environmental (exogenous) and biological (endogenous) conditions is crucial for understanding and predicting the carbon cycle. Here we show, using data from 42 eddy covariance sites across six major biomes, that ecological memory-decomposed into environmental and biological memory components-of daily net carbon exchange (NEE) is critical for understanding the land-carbon metabolism, especially in drylands for which memory explains ~ 32% of the variation in NEE. The strong environmental memory in drylands was primarily driven by short- and long-term moisture status. Moreover, the strength of environmental memory scales with increasing water stress. This universal scaling relationship, emerging within and among major biomes, suggests a potential adaptive response to water limitation. Our findings underscore the necessity of considering ecological memory in experiments, observations and modelling.
© 2019 John Wiley & Sons Ltd/CNRS.

Entities:  

Keywords:  Antecedent conditions; carbon exchange; carbon flux; dryland; ecological memory; environmental memory; hierarchical Bayesian model; lag effects; scaling relationship

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Substances:

Year:  2019        PMID: 31397053     DOI: 10.1111/ele.13363

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


  3 in total

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2.  Seasonal biological carryover dominates northern vegetation growth.

Authors:  Xu Lian; Shilong Piao; Anping Chen; Kai Wang; Xiangyi Li; Wolfgang Buermann; Chris Huntingford; Josep Peñuelas; Hao Xu; Ranga B Myneni
Journal:  Nat Commun       Date:  2021-02-12       Impact factor: 14.919

3.  The three major axes of terrestrial ecosystem function.

Authors:  Mirco Migliavacca; Talie Musavi; Miguel D Mahecha; Jacob A Nelson; Jürgen Knauer; Dennis D Baldocchi; Oscar Perez-Priego; Rune Christiansen; Jonas Peters; Karen Anderson; Michael Bahn; T Andrew Black; Peter D Blanken; Damien Bonal; Nina Buchmann; Silvia Caldararu; Arnaud Carrara; Nuno Carvalhais; Alessandro Cescatti; Jiquan Chen; Jamie Cleverly; Edoardo Cremonese; Ankur R Desai; Tarek S El-Madany; Martha M Farella; Marcos Fernández-Martínez; Gianluca Filippa; Matthias Forkel; Marta Galvagno; Ulisse Gomarasca; Christopher M Gough; Mathias Göckede; Andreas Ibrom; Hiroki Ikawa; Ivan A Janssens; Martin Jung; Jens Kattge; Trevor F Keenan; Alexander Knohl; Hideki Kobayashi; Guido Kraemer; Beverly E Law; Michael J Liddell; Xuanlong Ma; Ivan Mammarella; David Martini; Craig Macfarlane; Giorgio Matteucci; Leonardo Montagnani; Daniel E Pabon-Moreno; Cinzia Panigada; Dario Papale; Elise Pendall; Josep Penuelas; Richard P Phillips; Peter B Reich; Micol Rossini; Eyal Rotenberg; Russell L Scott; Clement Stahl; Ulrich Weber; Georg Wohlfahrt; Sebastian Wolf; Ian J Wright; Dan Yakir; Sönke Zaehle; Markus Reichstein
Journal:  Nature       Date:  2021-09-22       Impact factor: 49.962

  3 in total

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