Abstract

Understanding the differences in carbon and water vapor fluxes of spatially distributed evergreen needleleaf forests (ENFs) is crucial for accurately estimating regional or global carbon and water budgets and when predicting the responses of ENFs to current and future climate. We compared the fluxes of ten AmeriFlux ENF sites to investigate cross-site variability in net ecosystem exchange of carbon (NEE), gross primary production (GPP), and evapotranspiration (ET). We used wavelet cross-correlation analysis to examine responses of NEE and ET to common climatic drivers over multiple timescales and also determined optimum values of air temperature (T a) and vapor pressure deficit (VPD) for NEE and ET. We found larger differences in the NEE spectra than in the ET spectra across sites, demonstrating that spatial (site-to-site) variability was larger for NEE than for ET. The NEE and ET were decoupled differently across ENF sites because the wavelet cospectra between ET and climate variables were similar at all sites, while the wavelet cospectra between NEE and climate variables were higher (i.e., closer coupling between NEE and climatic drivers) in semi-arid and Mediterranean sites than in other sites. Ecosystem water use efficiency (EWUE) based on annual GPP/ET ranged from 1.3 ± 0.18 to 4.08 ± 0.62 g C mm−1 ET, while EWUE based on annual net ecosystem production (NEP)/ET ranged from 0.06 ± 0.04 to 1.02 ± 0.16 g C mm−1 ET) among ENFs. Responses of NEE and ET to T a varied across climatic zones. In particular, for ENF sites in semi-arid and Mediterranean climates, the maximum NEE and ET occurred at lower ranges of T a than in sites with warm and humid summers. The optimum T a and VPD values were higher for ET than for NEE, and ET was less sensitive to high values of T a and VPD. Large spatial variability in carbon and water vapor fluxes among ENFs and large variations in responses of NEE and ET to major climate variables among climatic zones necessitate sub-plant functional type parameterization based on climatic zones to better represent climate sensitivity of ENFs and to reduce uncertainty in model predictions.

Highlights

  • Understanding the differences in carbon and water vapor fluxes of spatially distributed evergreen needleleaf forests (ENFs) is crucial for accurately estimating regional or global carbon and water budgets and when predicting the responses of evergreen needleaf forests (ENF) to current and future climate

  • Seasonality and magnitudes of carbon uptake and ET Seasonal patterns and magnitudes of carbon uptake (NEE and gross primary production (GPP)) and ET varied among sites (Fig. 2) because carbon uptake was suppressed during extreme winters, mainly for continental temperate or montane sites where Ta was generally less than 0 °C before Day of the Year (DOY) 100 and after DOY 300, and dry summers, mainly for US-SP1, US-Wrc, and US-Fuf

  • Unlike the different magnitudes of the wavelet cospectra between net ecosystem exchange of carbon (NEE) and climate variables, the wavelet cospectra between ET and climate variables were similar in magnitude at all sites because the optimum Ta and vapor pressure deficit (VPD) values were higher for ET than for NEE, and ET was less sensitive to high values of Ta and VPD

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Summary

Introduction

Understanding the differences in carbon and water vapor fluxes of spatially distributed evergreen needleleaf forests (ENFs) is crucial for accurately estimating regional or global carbon and water budgets and when predicting the responses of ENFs to current and future climate. With the exception of the 10– 20 years following a stand-replacement disturbance, ENFs are generally net sinks of carbon from the atmosphere (Amiro et al 2010; Law et al 2001) These independent site-level studies have reported varying rates of carbon and water vapor exchange and carbon uptake period (CUP) among ENFs due to substantial differences in forest age, land use history, topography, edaphic and climatic conditions, and species composition. The broad distribution of ENFs across climatic gradients adds to the complexity of estimating fluxes for large regions and widespread vegetation types, since the sensitivity of fluxes for different ENF ecosystems to climate variability is not completely understood Such understanding is necessary to enhance our ability to predict the potential responses of ENFs to the changing climate

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