Modeling light use efficiency in a subtropical mangrove forest equipped with CO2 eddy covariance

J. G. Barr, V. Engel, J. D. Fuentes, Douglas Fuller, H. Kwon

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

Despite the importance of mangrove ecosystems in the global carbon budget, the relationships between environmental drivers and carbon dynamics in these forests remain poorly understood. This limited understanding is partly a result of the challenges associated with in situ flux studies. Tower-based CO 2 eddy covariance (EC) systems are installed in only a few mangrove forests worldwide, and the longest EC record from the Florida Everglades contains less than 9 years of observations. A primary goal of the present study was to develop a methodology to estimate canopy-scale photosynthetic light use efficiency in this forest. These tower-based observations represent a basis for associating CO2 fluxes with canopy light use properties, and thus provide the means for utilizing satellite-based reflectance data for larger scale investigations. We present a model for mangrove canopy light use efficiency utilizing the enhanced green vegetation index (EVI) derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) that is capable of predicting changes in mangrove forest CO2 fluxes caused by a hurricane disturbance and changes in regional environmental conditions, including temperature and salinity. Model parameters are solved for in a Bayesian framework. The model structure requires estimates of ecosystem respiration (RE), and we present the first ever tower-based estimates of mangrove forest RE derived from nighttime CO2 fluxes. Our investigation is also the first to show the effects of salinity on mangrove forest CO2 uptake, which declines 5% per each 10 parts per thousand (ppt) increase in salinity. Light use efficiency in this forest declines with increasing daily photosyn-thetic active radiation, which is an important departure from the assumption of constant light use efficiency typically applied in satellite-driven models. The model developed here provides a framework for estimating CO2 uptake by these forests from reflectance data and information about environmental conditions.

Original languageEnglish (US)
Pages (from-to)2145-2158
Number of pages14
JournalBiogeosciences
Volume10
Issue number3
DOIs
StatePublished - Mar 27 2013

Fingerprint

light use efficiency
mangrove forests
eddy covariance
mangrove
modeling
canopy
salinity
reflectance
global carbon budget
forest decline
ecosystem respiration
environmental factors
hurricanes
moderate resolution imaging spectroradiometer
respiration
cell respiration
environmental conditions
ecosystem
carbon budget
vegetation index

ASJC Scopus subject areas

  • Earth-Surface Processes
  • Ecology, Evolution, Behavior and Systematics

Cite this

Modeling light use efficiency in a subtropical mangrove forest equipped with CO2 eddy covariance. / Barr, J. G.; Engel, V.; Fuentes, J. D.; Fuller, Douglas; Kwon, H.

In: Biogeosciences, Vol. 10, No. 3, 27.03.2013, p. 2145-2158.

Research output: Contribution to journalArticle

Barr, J. G. ; Engel, V. ; Fuentes, J. D. ; Fuller, Douglas ; Kwon, H. / Modeling light use efficiency in a subtropical mangrove forest equipped with CO2 eddy covariance. In: Biogeosciences. 2013 ; Vol. 10, No. 3. pp. 2145-2158.
@article{5408c93359374ecf9a42eb60f5a10141,
title = "Modeling light use efficiency in a subtropical mangrove forest equipped with CO2 eddy covariance",
abstract = "Despite the importance of mangrove ecosystems in the global carbon budget, the relationships between environmental drivers and carbon dynamics in these forests remain poorly understood. This limited understanding is partly a result of the challenges associated with in situ flux studies. Tower-based CO 2 eddy covariance (EC) systems are installed in only a few mangrove forests worldwide, and the longest EC record from the Florida Everglades contains less than 9 years of observations. A primary goal of the present study was to develop a methodology to estimate canopy-scale photosynthetic light use efficiency in this forest. These tower-based observations represent a basis for associating CO2 fluxes with canopy light use properties, and thus provide the means for utilizing satellite-based reflectance data for larger scale investigations. We present a model for mangrove canopy light use efficiency utilizing the enhanced green vegetation index (EVI) derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) that is capable of predicting changes in mangrove forest CO2 fluxes caused by a hurricane disturbance and changes in regional environmental conditions, including temperature and salinity. Model parameters are solved for in a Bayesian framework. The model structure requires estimates of ecosystem respiration (RE), and we present the first ever tower-based estimates of mangrove forest RE derived from nighttime CO2 fluxes. Our investigation is also the first to show the effects of salinity on mangrove forest CO2 uptake, which declines 5{\%} per each 10 parts per thousand (ppt) increase in salinity. Light use efficiency in this forest declines with increasing daily photosyn-thetic active radiation, which is an important departure from the assumption of constant light use efficiency typically applied in satellite-driven models. The model developed here provides a framework for estimating CO2 uptake by these forests from reflectance data and information about environmental conditions.",
author = "Barr, {J. G.} and V. Engel and Fuentes, {J. D.} and Douglas Fuller and H. Kwon",
year = "2013",
month = "3",
day = "27",
doi = "10.5194/bg-10-2145-2013",
language = "English (US)",
volume = "10",
pages = "2145--2158",
journal = "Biogeosciences",
issn = "1726-4170",
publisher = "European Geosciences Union",
number = "3",

}

TY - JOUR

T1 - Modeling light use efficiency in a subtropical mangrove forest equipped with CO2 eddy covariance

AU - Barr, J. G.

AU - Engel, V.

AU - Fuentes, J. D.

AU - Fuller, Douglas

AU - Kwon, H.

PY - 2013/3/27

Y1 - 2013/3/27

N2 - Despite the importance of mangrove ecosystems in the global carbon budget, the relationships between environmental drivers and carbon dynamics in these forests remain poorly understood. This limited understanding is partly a result of the challenges associated with in situ flux studies. Tower-based CO 2 eddy covariance (EC) systems are installed in only a few mangrove forests worldwide, and the longest EC record from the Florida Everglades contains less than 9 years of observations. A primary goal of the present study was to develop a methodology to estimate canopy-scale photosynthetic light use efficiency in this forest. These tower-based observations represent a basis for associating CO2 fluxes with canopy light use properties, and thus provide the means for utilizing satellite-based reflectance data for larger scale investigations. We present a model for mangrove canopy light use efficiency utilizing the enhanced green vegetation index (EVI) derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) that is capable of predicting changes in mangrove forest CO2 fluxes caused by a hurricane disturbance and changes in regional environmental conditions, including temperature and salinity. Model parameters are solved for in a Bayesian framework. The model structure requires estimates of ecosystem respiration (RE), and we present the first ever tower-based estimates of mangrove forest RE derived from nighttime CO2 fluxes. Our investigation is also the first to show the effects of salinity on mangrove forest CO2 uptake, which declines 5% per each 10 parts per thousand (ppt) increase in salinity. Light use efficiency in this forest declines with increasing daily photosyn-thetic active radiation, which is an important departure from the assumption of constant light use efficiency typically applied in satellite-driven models. The model developed here provides a framework for estimating CO2 uptake by these forests from reflectance data and information about environmental conditions.

AB - Despite the importance of mangrove ecosystems in the global carbon budget, the relationships between environmental drivers and carbon dynamics in these forests remain poorly understood. This limited understanding is partly a result of the challenges associated with in situ flux studies. Tower-based CO 2 eddy covariance (EC) systems are installed in only a few mangrove forests worldwide, and the longest EC record from the Florida Everglades contains less than 9 years of observations. A primary goal of the present study was to develop a methodology to estimate canopy-scale photosynthetic light use efficiency in this forest. These tower-based observations represent a basis for associating CO2 fluxes with canopy light use properties, and thus provide the means for utilizing satellite-based reflectance data for larger scale investigations. We present a model for mangrove canopy light use efficiency utilizing the enhanced green vegetation index (EVI) derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) that is capable of predicting changes in mangrove forest CO2 fluxes caused by a hurricane disturbance and changes in regional environmental conditions, including temperature and salinity. Model parameters are solved for in a Bayesian framework. The model structure requires estimates of ecosystem respiration (RE), and we present the first ever tower-based estimates of mangrove forest RE derived from nighttime CO2 fluxes. Our investigation is also the first to show the effects of salinity on mangrove forest CO2 uptake, which declines 5% per each 10 parts per thousand (ppt) increase in salinity. Light use efficiency in this forest declines with increasing daily photosyn-thetic active radiation, which is an important departure from the assumption of constant light use efficiency typically applied in satellite-driven models. The model developed here provides a framework for estimating CO2 uptake by these forests from reflectance data and information about environmental conditions.

UR - http://www.scopus.com/inward/record.url?scp=84894051701&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84894051701&partnerID=8YFLogxK

U2 - 10.5194/bg-10-2145-2013

DO - 10.5194/bg-10-2145-2013

M3 - Article

AN - SCOPUS:84894051701

VL - 10

SP - 2145

EP - 2158

JO - Biogeosciences

JF - Biogeosciences

SN - 1726-4170

IS - 3

ER -