Early-Warning Signals of Individual Tree Mortality Based on Annual Radial Growth : научное издание

Описание

Тип публикации: статья из журнала

Год издания: 2019

Идентификатор DOI: 10.3389/fpls.2018.01964

Ключевые слова: tree mortality, ring-width, forest, growth, resilience indicators, drought, biotic agents, variance

Аннотация: Tree mortality is a key driver of forest dynamics and its occurrence is projected to increase in the future due to climate change. Despite recent advances in our understanding of the physiological mechanisms leading to death, we still lack robust indicators of mortality risk that could be applied at the individual tree scale. Here,Показать полностьюwe build on a previous contribution exploring the differences in growth level between trees that died and survived a given mortality event to assess whether changes in temporal autocorrelation, variance, and synchrony in time-series of annual radial growth data can be used as early warning signals of mortality risk. Taking advantage of a unique global ring-width database of 3065 dead trees and 4389 living trees growing together at 198 sites (belonging to 36 gymnosperm and angiosperm species), we analyzed temporal changes in autocorrelation, variance, and synchrony before tree death (diachronic analysis), and also compared these metrics between trees that died and trees that survived a given mortality event (synchronic analysis). Changes in autocorrelation were a poor indicator of mortality risk. However, we found a gradual increase in inter- annual growth variability and a decrease in growth synchrony in the last similar to 20 years before mortality of gymnosperms, irrespective of the cause of mortality. These changes could be associated with drought-induced alterations in carbon economy and allocation patterns. In angiosperms, we did not find any consistent changes in any metric. Such lack of any signal might be explained by the relatively high capacity of angiosperms to recover after a stress-induced growth decline. Our analysis provides a robust method for estimating early-warning signals of tree mortality based on annual growth data. In addition to the frequently reported decrease in growth rates, an increase in inter-annual growth variability and a decrease in growth synchrony may be powerful predictors of gymnosperm mortality risk, but not necessarily so for angiosperms. Tree mortality is a key driver of forest dynamics and its occurrence is projected to increase in the future due to climate change. Despite recent advances in our understanding of the physiological mechanisms leading to death, we still lack robust indicato

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Издание

Журнал: FRONTIERS IN PLANT SCIENCE

Выпуск журнала: Vol. 9

Номера страниц: 1964

ISSN журнала: 1664462X

Место издания: LAUSANNE

Издатель: FRONTIERS MEDIA SA

Персоны

  • Cailleret Maxime (Swiss Fed Inst Technol, Dept Environm Syst Sci, Inst Terr Ecosyst, Forest Ecol, Zurich, Switzerland; Swiss Fed Inst Forest Snow & Landscape Res WSL, Birmensdorf, Switzerland)
  • Dakos Vasilis (Univ Montpelier, EPHE, CNRS, ISEM,IRD, Montpellier, France)
  • Jansen Steven (Ulm Univ, Inst Systemat Bot & Ecol, Ulm, Germany)
  • Robert Elisabeth M. R. (CREAF Cerdanyola Valles, Catalonia, Spain; Vrije Univ Brussel, Ecol & Biodivers, Brussels, Belgium; Royal Museum Cent Africa, Lab Wood Biol & Xylarium, Tervuren, Belgium)
  • Aakala Tuomas (Univ Helsinki, Dept Forest Sci, Helsinki, Finland)
  • Amoroso Mariano M. (Consejo Nacl Invest Cient & Tecn, CCT Patagonia Norte, San Carlos De Bariloche, Rio Negro, Argentina; Univ Nacl Rio Negro, Inst Invest Recursos Nat Agroecol & Desarrollo Ru, Sede Andina, San Carlos De Bariloche, Rio Negro, Argentina)
  • Antos Joe A. (Univ Victoria, Dept Biol, Victoria, BC, Canada)
  • Bigler Christof (Swiss Fed Inst Technol, Dept Environm Syst Sci, Inst Terr Ecosyst, Forest Ecol, Zurich, Switzerland)
  • Bugmann Harald (Swiss Fed Inst Technol, Dept Environm Syst Sci, Inst Terr Ecosyst, Forest Ecol, Zurich, Switzerland)
  • Caccianaga Marco (Univ Milan, Dipartimento Biosci, Milan, Italy)
  • Camarero Jesus-Julio (CSIC, IPE, Zaragoza, Spain)
  • Cherubini Paolo (Swiss Fed Inst Forest Snow & Landscape Res WSL, Birmensdorf, Switzerland)
  • Coyea Marie R. (Univ Laval, Dept Sci Bois & Foret, Ctr Forest Res, Fac Foresterie, Quebec City, PQ, Canada)
  • Cufar Katarina (Univ Ljubljana, Biotech Fac, Ljubljana, Slovenia)