skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Estimating Carbon Flux Phenology with Satellite-Derived Land Surface Phenology and Climate Drivers for Different Biomes: A Synthesis of AmeriFlux Observations

Abstract

Carbon Flux Phenology (CFP) can affect the interannual variation in Net Ecosystem Exchange (NEE) of carbon between terrestrial ecosystems and the atmosphere. In this paper, we proposed a methodology to estimate CFP metrics with satellite-derived Land Surface Phenology (LSP) metrics and climate drivers for 4 biomes (i.e., deciduous broadleaf forest, evergreen needleleaf forest, grasslands and croplands), using 159 site-years of NEE and climate data from 32 AmeriFlux sites and MODIS vegetation index time-series data. LSP metrics combined with optimal climate drivers can explain the variability in Start of Carbon Uptake (SCU) by more than 70% and End of Carbon Uptake (ECU) by more than 60%. The Root Mean Square Error (RMSE) of the estimations was within 8.5 days for both SCU and ECU. The estimation performance for this methodology was primarily dependent on the optimal combination of the LSP retrieval methods, the explanatory climate drivers, the biome types, and the specific CFP metric. In conclusion, this methodology has a potential for allowing extrapolation of CFP metrics for biomes with a distinct and detectable seasonal cycle over large areas, based on synoptic multi-temporal optical satellite data and climate data.

Authors:
 [1];  [2];  [3];  [3];  [3]
  1. Beijing Normal University, Beijing (China). State Key Laboratory of Earth Surface Processes and Resource Ecology
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Division
  3. Beijing Normal University, Beijing (China). College of Resources Science and Technology
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1265293
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
PLoS ONE
Additional Journal Information:
Journal Volume: 8; Journal Issue: 12; Journal ID: ISSN 1932-6203
Publisher:
Public Library of Science
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Zhu, Wenquan, Chen, Guangsheng, Jiang, Nan, Liu, Jianhong, and Mou, Minjie. Estimating Carbon Flux Phenology with Satellite-Derived Land Surface Phenology and Climate Drivers for Different Biomes: A Synthesis of AmeriFlux Observations. United States: N. p., 2013. Web. doi:10.1371/journal.pone.0084990.
Zhu, Wenquan, Chen, Guangsheng, Jiang, Nan, Liu, Jianhong, & Mou, Minjie. Estimating Carbon Flux Phenology with Satellite-Derived Land Surface Phenology and Climate Drivers for Different Biomes: A Synthesis of AmeriFlux Observations. United States. doi:10.1371/journal.pone.0084990.
Zhu, Wenquan, Chen, Guangsheng, Jiang, Nan, Liu, Jianhong, and Mou, Minjie. Fri . "Estimating Carbon Flux Phenology with Satellite-Derived Land Surface Phenology and Climate Drivers for Different Biomes: A Synthesis of AmeriFlux Observations". United States. doi:10.1371/journal.pone.0084990. https://www.osti.gov/servlets/purl/1265293.
@article{osti_1265293,
title = {Estimating Carbon Flux Phenology with Satellite-Derived Land Surface Phenology and Climate Drivers for Different Biomes: A Synthesis of AmeriFlux Observations},
author = {Zhu, Wenquan and Chen, Guangsheng and Jiang, Nan and Liu, Jianhong and Mou, Minjie},
abstractNote = {Carbon Flux Phenology (CFP) can affect the interannual variation in Net Ecosystem Exchange (NEE) of carbon between terrestrial ecosystems and the atmosphere. In this paper, we proposed a methodology to estimate CFP metrics with satellite-derived Land Surface Phenology (LSP) metrics and climate drivers for 4 biomes (i.e., deciduous broadleaf forest, evergreen needleleaf forest, grasslands and croplands), using 159 site-years of NEE and climate data from 32 AmeriFlux sites and MODIS vegetation index time-series data. LSP metrics combined with optimal climate drivers can explain the variability in Start of Carbon Uptake (SCU) by more than 70% and End of Carbon Uptake (ECU) by more than 60%. The Root Mean Square Error (RMSE) of the estimations was within 8.5 days for both SCU and ECU. The estimation performance for this methodology was primarily dependent on the optimal combination of the LSP retrieval methods, the explanatory climate drivers, the biome types, and the specific CFP metric. In conclusion, this methodology has a potential for allowing extrapolation of CFP metrics for biomes with a distinct and detectable seasonal cycle over large areas, based on synoptic multi-temporal optical satellite data and climate data.},
doi = {10.1371/journal.pone.0084990},
journal = {PLoS ONE},
issn = {1932-6203},
number = 12,
volume = 8,
place = {United States},
year = {2013},
month = {12}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 3 works
Citation information provided by
Web of Science

Save / Share:

Works referenced in this record:

Modeling CO2 and water vapor exchange of a temperate broadleaved forest across hourly to decadal time scales
journal, August 2001


Remote estimation of gross primary production in maize and support for a new paradigm based on total crop chlorophyll content
journal, April 2011

  • Peng, Yi; Gitelson, Anatoly A.; Keydan, Galina
  • Remote Sensing of Environment, Vol. 115, Issue 4
  • DOI: 10.1016/j.rse.2010.12.001

Red and near-infrared sensor response to off-nadiir viewing
journal, January 1984


Influence of spring phenology on seasonal and annual carbon balance in two contrasting New England forests
journal, January 2009


Interannual variability of net ecosystem productivity in forests is explained by carbon flux phenology in autumn: Autumn phenology and NEP
journal, February 2013

  • Wu, Chaoyang; Chen, Jing M.; Black, T. Andrew
  • Global Ecology and Biogeography, Vol. 22, Issue 8
  • DOI: 10.1111/geb.12044

Variations in satellite-derived phenology in China's temperate vegetation
journal, April 2006


A comparison of multiple phenology data sources for estimating seasonal transitions in deciduous forest carbon exchange
journal, December 2011


A continental phenology model for monitoring vegetation responses to interannual climatic variability
journal, June 1997

  • White, Michael A.; Thornton, Peter E.; Running, Steven W.
  • Global Biogeochemical Cycles, Vol. 11, Issue 2
  • DOI: 10.1029/97GB00330

A phenological classification of terrestrial vegetation cover using shortwave vegetation index imagery
journal, December 1990


Optical remote sensing of vegetation: Modeling, caveats, and algorithms
journal, January 1995


Canopy duration has little influence on annual carbon storage in the deciduous broad leaf forest
journal, July 2003


Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI
journal, February 2006

  • Beck, Pieter S. A.; Atzberger, Clement; Høgda, Kjell Arild
  • Remote Sensing of Environment, Vol. 100, Issue 3
  • DOI: 10.1016/j.rse.2005.10.021

Effects of climatic variability on the annual carbon sequestration by a boreal aspen forest
journal, January 1999


Characteristics of vegetation phenology over the Alaskan landscape using AVHRR time-series data
journal, April 1995


Climate controls on vegetation phenological patterns in northern mid- and high latitudes inferred from MODIS data
journal, July 2004


Influence of spring and autumn phenological transitions on forest ecosystem productivity
journal, October 2010

  • Richardson, Andrew D.; Andy Black, T.; Ciais, Philippe
  • Philosophical Transactions of the Royal Society B: Biological Sciences, Vol. 365, Issue 1555
  • DOI: 10.1098/rstb.2010.0102

Increased carbon sequestration by a boreal deciduous forest in years with a warm spring
journal, May 2000

  • Black, T. A.; Chen, W. J.; Barr, A. G.
  • Geophysical Research Letters, Vol. 27, Issue 9
  • DOI: 10.1029/1999GL011234

Linear Model Selection by Cross-validation
journal, June 1993


Net carbon dioxide losses of northern ecosystems in response to autumn warming
journal, January 2008

  • Piao, Shilong; Ciais, Philippe; Friedlingstein, Pierre
  • Nature, Vol. 451, Issue 7174
  • DOI: 10.1038/nature06444

Atmospheric conditions for monitoring the long-term vegetation dynamics in the Amazon using normalized difference vegetation index
journal, September 2005


Changes in satellite-derived spring vegetation green-up date and its linkage to climate in China from 1982 to 2010: a multimethod analysis
journal, December 2012

  • Cong, Nan; Wang, Tao; Nan, Huijuan
  • Global Change Biology, Vol. 19, Issue 3
  • DOI: 10.1111/gcb.12077

Underestimated effects of low temperature during early growing season on carbon sequestration of a subtropical coniferous plantation
journal, January 2011


Air temperature triggers the recovery of evergreen boreal forest photosynthesis in spring
journal, October 2003


Comparison of carbon dioxide fluxes over three boreal black spruce forests in Canada
journal, January 2007


Responses of spring phenology to climate change
journal, May 2004


Global response of terrestrial ecosystem structure and function to CO 2 and climate change: results from six dynamic global vegetation models
journal, April 2001


A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky–Golay filter
journal, June 2004

  • Chen, Jin; Jönsson, Per.; Tamura, Masayuki
  • Remote Sensing of Environment, Vol. 91, Issue 3-4
  • DOI: 10.1016/j.rse.2004.03.014

Measuring phenological variability from satellite imagery
journal, October 1994

  • Reed, Bradley C.; Brown, Jesslyn F.; VanderZee, Darrel
  • Journal of Vegetation Science, Vol. 5, Issue 5
  • DOI: 10.2307/3235884

Monitoring vegetation phenology using MODIS
journal, March 2003


Noise reduction of NDVI time series: An empirical comparison of selected techniques
journal, January 2009


Seasonality extraction by function fitting to time-series of satellite sensor data
journal, August 2002

  • Jonsson, P.; Eklundh, L.
  • IEEE Transactions on Geoscience and Remote Sensing, Vol. 40, Issue 8
  • DOI: 10.1109/TGRS.2002.802519

FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem–Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities
journal, November 2001


Climate change, phenology, and phenological control of vegetation feedbacks to the climate system
journal, February 2013


The impact of growing-season length variability on carbon assimilation and evapotranspiration over 88 years in the eastern US deciduous forest
journal, February 1999

  • White, M. A.; Running, S. W.; Thornton, P. E.
  • International Journal of Biometeorology, Vol. 42, Issue 3
  • DOI: 10.1007/s004840050097

Predicting the onset of net carbon uptake by deciduous forests with soil temperature and climate data: a synthesis of FLUXNET data
journal, February 2005

  • Baldocchi, Dennis D.; Black, T. A.; Curtis, P. S.
  • International Journal of Biometeorology, Vol. 49, Issue 6
  • DOI: 10.1007/s00484-005-0256-4

Observed changes in seasons: an overview
journal, January 2002

  • Sparks, T. H.; Menzel, A.
  • International Journal of Climatology, Vol. 22, Issue 14
  • DOI: 10.1002/joc.821

Spatial analysis of growing season length control over net ecosystem exchange
journal, October 2005


Predicting deciduous forest carbon uptake phenology by upscaling FLUXNET measurements using remote sensing data
journal, November 2012


Land surface phenology from optical satellite measurement and CO 2 eddy covariance technique: LAND SURFACE PHENOLOGY INDEX
journal, September 2012

  • Gonsamo, Alemu; Chen, Jing M.; Price, David T.
  • Journal of Geophysical Research: Biogeosciences, Vol. 117, Issue G3
  • DOI: 10.1029/2012JG002070

Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982-2006
journal, October 2009