Abstract

Plant growth and distribution in high-latitude tundra ecosystems is strongly limited by nutrient availability and is critical for quantifying centennial-scale carbon-climate interactions. However, land model representations of plant–nutrient interactions are uncertain, leading to poor comparisons with high-latitude observations. Although it has been recognized for decades in the observational community that plants continue to acquire nutrients well past when aboveground activity has ceased, most large-scale land models ignore this process. Here we address the role tundra plant nutrient acquisition during the non-growing season (NGS) has on centennial-scale vegetation growth and dynamics, with a focus on shrub expansion. We apply a well-tested mechanistic model of coupled plant, microbial, hydrological, and thermal dynamics that explicitly represents nutrient acquisition based on plant and microbial traits, thereby allowing a prognostic assessment of NGS nutrient uptake. We first show that the model accurately represents observed seasonality of NGS plant nutrient uptake in a northern Alaskan tundra site. Applying the model across the North America tundra indicates that NGS nutrient uptake is consistent with observations and ranges between ∼5% and 50% of annual uptake, with large spatial variability and dependence on plant functional type. We show that NGS plant nutrient acquisition strongly enhances modeled 21st century tundra shrub growth and expansion rates. Our results suggest that without NGS nutrient uptake, total shrub aboveground dominance would be ∼50% lower, limited primarily by their inability to grow tall enough to maximize their inherent capacity for light competition. Evergreen shrubs would be more strongly affected because of their relatively lower capacity for nutrient remobilization and acquisition compared to deciduous shrubs. Our results highlight the importance of NGS plant and soil processes on high-latitude biogeochemistry and vegetation dynamics and motivate new observations and model structures to represent these dynamics.

Highlights

  • Earth’s warming over the coming decades in response to human activity will depend strongly on the terrestrial carbon cycle, which has gross uptake and release fluxes that are about an order of magnitude larger than anthropogenic fossil fuel CO2 emissions (Ciais et al 2013)

  • The terrestrial biosphere assimilates about a quarter of anthropogenic CO2 emissions, but the extent to which this service will continue is very uncertain in Earth System Models (ESMs) used to predict future climate (Friedlingstein et al 2014)

  • That observational study reported that tundra sedges absorbed about half of annual P uptake after net nutrient translocation belowground began while the model predicted a 30%–55% variation in non-growing season (NGS) P uptake across landscape position in the polygons

Read more

Summary

Introduction

Earth’s warming over the coming decades in response to human activity will depend strongly on the terrestrial carbon cycle, which has gross uptake (photosynthesis) and release (respiration) fluxes that are about an order of magnitude larger than anthropogenic fossil fuel CO2 emissions (Ciais et al 2013). The terrestrial biosphere assimilates about a quarter of anthropogenic CO2 emissions, but the extent to which this service will continue is very uncertain in Earth System Models (ESMs) used to predict future climate (Friedlingstein et al 2014). Observational studies have found increases in shrub abundance due to climate warming (e.g. Elmendorf et al 2012), which may increase ecosystem carbon storage via increased litter with higher C:N ratios or decrease it because of priming (Parker et al 2015). Nutrient constraints on terrestrial carbon cycling were either inaccurately represented (Bouskill et al 2014, De Kauwe et al 2017) or absent in ESMs that participated in the Coupled Model Inter-comparison Project 5 (CMIP5), many modeling groups have recently incorporated nutrient dynamics in preparation for the ongoing CMIP6 (Riley et al 2018)

Objectives
Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call