Linking tree physiological constraints with predictions of carbon and water fluxes at an old‐growth coniferous forest

Abstract

Old‐growth coniferous forests of the Pacific Northwest are among the most productive temperate ecosystems and have the capacity to store large amounts of carbon for multiple centuries. To date, there are considerable gaps in modeling ecosystem fluxes and their responses to physiological constraints in these old‐growth forests. These model shortcomings limit our ability to understand and project how the old‐growth forests of the Pacific Northwest will respond to global climate change. This study applies the cohort‐based Ecosystem Demography Model 2 (ED2) to the Wind River Experimental Forest (Washington, USA), a well‐studied old‐growth Douglas‐fir–western hemlock ecosystem. ED2 is calibrated and validated using an extensive suite of forest inventory, eddy covariance, and biophysical observations. ED2 is able to reproduce observed forest composition and canopy structure, and carbon, water, and energy fluxes at the site. In the simulations, the effect of limited water supply on ecosystem carbon fluxes is mediated primarily by the forest's gross primary productivity (GPP) response, rather than its heterotrophic respiration response. The simulation indicates that stomatal conductance is mainly determined by soil moisture during periods of low vapor pressure deficit (VPD). However, when VPD is high, stomatal conductance is greatly reduced regardless of soil moisture status. During summer droughts, reduced soil moisture and increased VPD result in considerable stomatal closure and GPP reduction, which in turn decreases net carbon uptake. Cohort‐based scheme integrates all canopy layers (species) that have distinct sensitivity to microclimate and respond distinctly to drought. This study is an initial first step to explore the potential importance of cohort‐based model in simulating forest with complex structure, and to lay the foundation for applying cohort‐based model at regional scales across the Pacific Northwest.

Imaging canopy temperature: shedding (thermal) light on ecosystem processes

“…Leaf energy budget theory is embedded in most LSMs. However, LSMs underestimate observed temporal and spatial variability in T can (Dong et al ., 2017; Jiang et al ., 2019), which implies that they are not capturing aspects of canopy structure and function. We suggest that T can observations can be used to help benchmark LSMs (Collier et al ., 2018) and test the accuracy of modeled T can and its implications for temperature‐dependent water and C cycling predictions.…”

Satellite data reveal differential responses of Swiss forests to unprecedented 2018 drought

“…Forest drought responses vary across temporal scales (Cavender‐Bares & Bazzaz, 2000). Short‐time responses (i.e., minutes to hours) include changes in stomatal closure (Jiang et al, 2019), altered energy balance (Sippel et al, 2018), a regulation of photosynthesis (Clark et al, 2016), and lowered hydraulic conductivity (Adams et al, 2017; Kukowski et al, 2013). Seasonal responses include phenological alterations, such as early wilting (Brun et al, 2020), leaf discoloration, leaf loss (MeteoSchweiz, 2018), growth reductions (Cailleret et al, 2017), and changes in resource allocation and repair mechanisms (Sippel et al, 2018).…”

Substantial understory contribution to the C sink of a European temperate mountain forest landscape

“…However, more detail in stand structure increases the dependence on initialization and parameter accuracy and decreases generality of the model results. Therefore, the use of 2-3 cohorts in the few process-oriented ecosystem models that are available is still a common choice (Deckmyn et al 2008;Jiang et al 2019).…”