Literature DB >> 25205425

Forest ecosystem respiration estimated from eddy covariance and chamber measurements under high turbulence and substantial tree mortality from bark beetles.

Heather N Speckman1, John M Frank, John B Bradford, Brianna L Miles, William J Massman, William J Parton, Michael G Ryan.   

Abstract

Eddy covariance nighttime fluxes are uncertain due to potential measurement biases. Many studies report eddy covariance nighttime flux lower than flux from extrapolated chamber measurements, despite corrections for low turbulence. We compared eddy covariance and chamber estimates of ecosystem respiration at the GLEES Ameriflux site over seven growing seasons under high turbulence [summer night mean friction velocity (u*) = 0.7 m s(-1)], during which bark beetles killed or infested 85% of the aboveground respiring biomass. Chamber-based estimates of ecosystem respiration during the growth season, developed from foliage, wood, and soil CO2 efflux measurements, declined 35% after 85% of the forest basal area had been killed or impaired by bark beetles (from 7.1 ± 0.22 μmol m(-2) s(-1) in 2005 to 4.6 ± 0.16 μmol m(-2) s(-1) in 2011). Soil efflux remained at ~3.3 μmol m(-2) s(-1) throughout the mortality, while the loss of live wood and foliage and their respiration drove the decline of the chamber estimate. Eddy covariance estimates of fluxes at night remained constant over the same period, ~3.0 μmol m(-2) s(-1) for both 2005 (intact forest) and 2011 (85% basal area killed or impaired). Eddy covariance fluxes were lower than chamber estimates of ecosystem respiration (60% lower in 2005, and 32% in 2011), but the mean night estimates from the two techniques were correlated within a year (r(2) from 0.18 to 0.60). The difference between the two techniques was not the result of inadequate turbulence, because the results were robust to a u* filter of >0.7 m s(-1). The decline in the average seasonal difference between the two techniques was strongly correlated with overstory leaf area (r(2) = 0.92). The discrepancy between methods of respiration estimation should be resolved to have confidence in ecosystem carbon flux estimates.
© 2014 John Wiley & Sons Ltd.

Entities:  

Keywords:  EC; bark beetles; chambers; disturbance; ecosystem respiration; respiration modeling; soil efflux; turbulence; u* filtering

Mesh:

Year:  2014        PMID: 25205425     DOI: 10.1111/gcb.12731

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  4 in total

Review 1.  Climate controls over ecosystem metabolism: insights from a fifteen-year inductive artificial neural network synthesis for a subalpine forest.

Authors:  Loren P Albert; Trevor F Keenan; Sean P Burns; Travis E Huxman; Russell K Monson
Journal:  Oecologia       Date:  2017-03-25       Impact factor: 3.225

2.  Carbon dioxide fluxes in a farmland ecosystem of the southern Chinese Loess Plateau measured using a chamber-based method.

Authors:  Fengru Fang; Xiaoyang Han; Wenzhao Liu; Ming Tang
Journal:  PeerJ       Date:  2020-04-27       Impact factor: 2.984

3.  Revisiting the choice of the driving temperature for eddy covariance CO2 flux partitioning.

Authors:  Georg Wohlfahrt; Marta Galvagno
Journal:  Agric For Meteorol       Date:  2017-05-01       Impact factor: 5.734

4.  Evaluating the convergence between eddy-covariance and biometric methods for assessing carbon budgets of forests.

Authors:  M Campioli; Y Malhi; S Vicca; S Luyssaert; D Papale; J Peñuelas; M Reichstein; M Migliavacca; M A Arain; I A Janssens
Journal:  Nat Commun       Date:  2016-12-14       Impact factor: 14.919

  4 in total

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