Plant Ecology

, Volume 217, Issue 9, pp 1105–1114 | Cite as

Canopy foliation and area as predictors of mortality risk from episodic drought for individual trees of Ashe juniper

  • H. Wayne Polley
  • Daniel M. Johnson
  • Robert B. Jackson
Article

Abstract

Drought is killing an increasing number of trees globally, yet mortality risk remains difficult to predict at fine spatial scales. We sought to identify metrics of living individuals that could be used to estimate mortality risk of Ashe juniper (Juniperus ashei) trees and eventually to estimate the fraction of juniper populations at risk from drought. Ashe juniper is a keystone species in the Edwards Plateau region in central Texas, USA. We analyzed tree rings from both living and dead trees to determine growth rate prior to an historic drought in 2011 and measured morphological, physiological, and stand-level variables hypothesized to link growth rate and mortality risk. Slowly growing trees were disproportionately vulnerable to mortality. Fractional mortality of sampled trees was correlated to the difference between the mean predrought basal area increment (BAI) per tree and the predrought BAI of minimally stressed trees growing on deep soil (=BAI90 − BAI). Slowly growing trees had sparsely foliated canopies. BAI90 − BAI was positively correlated to the difference between: (1) leaf area per unit of projected canopy area per tree (LA) and the LA of minimally stressed trees and (2) projected canopy area (CA) and the CA of comparably sized trees. By contrast, there was no correlation between growth of living trees and light interception by neighboring trees, soil depth, or two functional metrics, the stem–leaf Ψ gradient and leaf light use efficiency. Mortality risk in Ashe juniper populations can be estimated from nondestructive measurements of leaf and canopy area of individual trees using relationships among risk, growth, and leaf and canopy area.

Keywords

Basal area increment Canopy area Climate change Leaf area Growth rate Woodland 

Abbreviations

BA

Basal area (cm2)

BAI

Basal area increment (cm2)

BAI90

BAI estimated from a quantile regression (0.90 quantile) model fit to the BAI-canopy area relationship (cm2)

CA

Projected canopy area per tree (m2)

LA

Leaf area per tree (m2)

LA90

LA estimated from a quantile regression (0.90 quantile) model fit to the LA–CA relationship (m2)

LAI

Leaf area index

PAR

Photosynthetically active radiation

PRI

Photochemical reflectance index

Supplementary material

11258_2016_636_MOESM1_ESM.docx (40 kb)
Supplementary material 1 (DOCX 40 kb)

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Copyright information

© Springer Science+Business Media Dordrecht (outside the USA) 2016

Authors and Affiliations

  • H. Wayne Polley
    • 1
  • Daniel M. Johnson
    • 2
  • Robert B. Jackson
    • 3
  1. 1.Grassland, Soil & Water Research LaboratoryUSDA–Agricultural Research ServiceTempleUSA
  2. 2.Department of Forest, Rangeland and Fire SciencesUniversity of IdahoMoscowUSA
  3. 3.School of Earth SciencesStanford UniversityStanfordUSA

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