Abstract

Abstract. Simulation of vegetation–climate feedbacks in high latitudes in the ORCHIDEE land surface model was improved by the addition of three new circumpolar plant functional types (PFTs), namely non-vascular plants representing bryophytes and lichens, Arctic shrubs and Arctic C3 grasses. Non-vascular plants are assigned no stomatal conductance, very shallow roots, and can desiccate during dry episodes and become active again during wet periods, which gives them a larger phenological plasticity (i.e. adaptability and resilience to severe climatic constraints) compared to grasses and shrubs. Shrubs have a specific carbon allocation scheme, and differ from trees by their larger survival rates in winter, due to protection by snow. Arctic C3 grasses have the same equations as in the original ORCHIDEE version, but different parameter values, optimised from in situ observations of biomass and net primary productivity (NPP) in Siberia. In situ observations of living biomass and productivity from Siberia were used to calibrate the parameters of the new PFTs using a Bayesian optimisation procedure. With the new PFTs, we obtain a lower NPP by 31 % (from 55° N), as well as a lower roughness length (−41 %), transpiration (−33 %) and a higher winter albedo (by +3.6 %) due to increased snow cover. A simulation of the water balance and runoff and drainage in the high northern latitudes using the new PFTs results in an increase of fresh water discharge in the Arctic ocean by 11 % (+140 km3 yr−1), owing to less evapotranspiration. Future developments should focus on the competition between these three PFTs and boreal tree PFTs, in order to simulate their area changes in response to climate change, and the effect of carbon–nitrogen interactions.

Highlights

  • Global land surface models are an essential component of Earth system models (ESMs)

  • This study focuses on the parameterisations of these three new plant functional types (PFTs), their interactions as part of the dynamic global vegetation models (DGVMs) of ORCHIDEE being treated in a subsequent study

  • For nonvascular plants (NVPs) the model mean across all sites for biomass and net primary productivity (NPP) is close to the observed mean, but the cross-site spread is not well captured

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Summary

Introduction

Global land surface models are an essential component of Earth system models (ESMs) These land surface models describe the carbon, water and energy exchanges between the land surface and the atmosphere at large spatial scales and a broad range of temporal scales. Henderson-Sellers et al, 1996) were developed and coupled with general circulation models (GCMs) that provide the meteorological forcing used as input to SVATs. Several studies show that the terrestrial biosphere plays an important role in controlling the spatial and temporal distribution of carbon, water and energy fluxes, and indirectly, in modulating regional- to continental-scale climate. Reduced tree cover led to an increase in albedo and snow cover, a reduction in temperature and precipitation and changes in atmospheric circulation and cooling at high latitudes

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