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


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Date

2019-01-08

Publication Type

Journal Article

ETH Bibliography

yes

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Data

Abstract

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, we 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 ∼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.

Publication status

published

Editor

Book title

Volume

9

Pages / Article No.

1964

Publisher

Frontiers Media

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

tree mortality; Ring-width; Forest; Growth; Resilience indicators; drought; biotic agents; variance

Organisational unit

03535 - Bugmann, Harald / Bugmann, Harald check_circle
03648 - Buchmann, Nina / Buchmann, Nina check_circle

Notes

Funding

140968 - Predicting growth-dependent tree mortality: a key challenge for population ecology (SNF)

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