Abstract

Across temperate North America, interannual variability (IAV) in gross primary production (GPP) and net ecosystem exchange (NEE) and their relationship with environmental drivers are poorly understood. Here, we examine IAV in GPP and NEE and their relationship to environmental drivers using two state‐of‐the‐science flux products: NEE constrained by surface and space‐based atmospheric CO measurements over 2010–2015 and satellite up‐scaled GPP from FluxSat over 2001–2017. We show that the arid western half of temperate North America provides a larger contribution to IAV in GPP (104% of east) and NEE (127% of east) than the eastern half, in spite of smaller magnitude of annual mean GPP and NEE. This occurs because anomalies in western ecosystems are temporally coherent across the growing season leading to an amplification of GPP and NEE. In contrast, IAV in GPP and NEE in eastern ecosystems is dominated by seasonal compensation effects, associated with opposite responses to temperature anomalies in spring and summer. Terrestrial biosphere models in the MsTMIP ensemble generally capture these differences between eastern and western temperate North America, although there is considerable spread between models.

Highlights

  • Interannual variations (IAVs) in climate are a major driver of interannual variability (IAV) in gross primary productivity (GPP) and net ecosystem exchange (NEE)

  • We aggregate the NEE and GPP anomalies into large spatial regions and perform singular value decomposition (SVD) analysis to determine the dominant modes of IAV

  • Western Temperate North America We find that IAV in western temperate North America is dominated by an amplification component, wherein increased GPP and net uptake are associated with cooler-wetter conditions through the entire growing season

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Summary

Introduction

Interannual variations (IAVs) in climate are a major driver of IAV in gross primary productivity (GPP) and net ecosystem exchange (NEE). The mechanisms underlying the responses of ecosystems to climate variability are still not well understood and vary between ecosystems (Baldocchi et al, 2018; Niu et al, 2017). A long-standing challenge in carbon cycle science has been to study IAV in GPP and NEE on large subcontinental spatial scales (approximately thousands of km). Estimating fluxes on these scales from “bottom-up” estimates of ecosystem function based of site level experiments is challenging due to spatial heterogeneity. Top-down estimates of NEE obtained through observations of atmospheric CO2 have generally only provided constraints on CO2 fluxes on the largest (continental-to-global) scales, due to sparsity of observations

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