January 28, 2022
Journal Article

Climate drives modeled forest carbon cycling resistance and resilience in the Upper Great Lakes Region, USA

Abstract

Forests dominate the global terrestrial carbon budget, but their ability to continue doing so in the face of a changing climate is uncertain. A key uncertainty is how forests will respond (resistance) and recover from (resilience) to rising levels of disturbance of varying intensities. This knowledge gap can optimally be addressed by integrating manipulative field experiments with ecophysiological modeling. We used the ED-2.2 model to project carbon fluxes for a northern temperate deciduous forest subjected to a real-world disturbance severity manipulation experiment. ED-2.2 was run for 150 years, starting from near bare ground in 1900, and subjected to three disturbance treatments under an ensemble of climate conditions. Both disturbance severity and climate strongly affected carbon fluxes, and interacted with one another. We then calculated metrics of functional ecosystem stability. Modeled gross primary production exhibited a mean resistance of -0.13, -0.23, and -0.42 (unitless) in response to increasing disturbance severity of 45%, 65%, and 85% mortality, respectively; and resilience of 0.002, 0.004, 0.008 (yr-1) respectively. This pattern held true for other carbon fluxes, meaning that in general simulated GPP declined more initially but recovered more quickly from higher mortality. Notably, however, heterotrophic respiration responded more slowly to disturbance, and its highly variable response was affected by different drivers. This work provides insight into how future conditions might affect the functional stability of mature forests in this region under ongoing climate change and changing disturbance regimes.

Published: January 28, 2022

Citation

Dorheim K.R., C.M. Gough, L. Haber, K. Mathes, A.N. Shiklomanov, and B. Bond-Lamberty. 2022. Climate drives modeled forest carbon cycling resistance and resilience in the Upper Great Lakes Region, USA. Journal of Geophysical Research: Biogeosciences 127, no. 1:Art. No.e2021JG006587. PNNL-SA-165545. doi:10.1029/2021JG006587