An ecohydrological perspective on drought-induced forest mortality

Published

Journal Article

Regional-scale drought-induced forest mortality events are projected to become more frequent under future climates due to changes in rainfall patterns. The occurrence of these mortality events is driven by exogenous factors such as frequency and severity of drought and endogenous factors such as tree water and carbon use strategies. To explore the link between these exogenous and endogenous factors underlying forest mortality, a stochastic ecohydrological framework that accounts for random arrival and length of droughts as well as responses of tree water and carbon balance to soil water deficit is proposed. The main dynamics of this system are characterized with respect to the spectrum of anisohydric-isohydric stomatal control strategies. Using results from a controlled drought experiment, a maximum tolerable drought length at the point where carbon starvation and hydraulic failure occur simultaneously is predicted, supporting the notion of coordinated hydraulic function and metabolism. We find qualitative agreement between the model predictions and observed regional-scale canopy dieback across a precipitation gradient during the 2002-2003 southwestern United States drought. Both the model and data suggest a rapid increase of mortality frequency below a precipitation threshold. The model also provides estimates of mortality frequency for given plant drought strategies and climate regimes. The proposed ecohydrological approach can be expanded to estimate the effect of anticipated climate change on drought-induced forest mortality and associated consequences for the water and carbon balances. Key Points Drought-induced forest mortality is modeled using a stochastic framework Plant drought strategies are defined by soil and leaf hydraulic feedbacks Mortality is a threshold process linking plant, soil, and climate properties ©2014. American Geophysical Union. All Rights Reserved.

Full Text

Duke Authors

Cited Authors

  • Parolari, AJ; Katul, GG; Porporato, A

Published Date

  • January 1, 2014

Published In

Volume / Issue

  • 119 / 5

Start / End Page

  • 965 - 981

Electronic International Standard Serial Number (EISSN)

  • 2169-8961

Digital Object Identifier (DOI)

  • 10.1002/2013JG002592

Citation Source

  • Scopus