Satellite Observations of Decadal Scale CO2 Fluxes Over Black Spruce Forests in Alaska Associated with Climate Variability

Takafumi Date, Yuji Ota, Toru Iwata, Susumu Yamamoto, Masahito Ueyama, Yoshinobu Harazono

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

We improved the satellite-based empirical model (Kitamoto et al, 2007) by adding additional effective parameters on vapor pressure deficit (VPD) and photosynthesis, and estimated the CO2 budget within black spruce forests in Alaska. In the stand scale validation, our modified model successfully reproduced the observed gross primary productivity (GPP), ecosystem respiration (RE), and net ecosystem exchange (NEE) by the eddy covariance measurement. The 10-day average of the model output was highly correlated with the observed GPP (r2=0.9), RE (r2=0.9), and NEE (r2=0.7). We used the modified model to estimate the regional GPP, RE, and NEE of black spruce forests over Alaska from 1982 to 2003 by using the normalized difference vegetation index (NDVI) from the Advanced Very High Resolution Radiometer (AVHRR) and climate data. The estimated regional averages of GPP, RE, and NEE were 2,172, 2,008, and -164 g CO m-2 y-1 during the past 22 years. Our model analysis showed that GPP was mainly affected by spring air temperature, whereas RE was affected by summer air temperature, indicating that the sink strength of the black spruce forests was controlled by the seasonality in air temperature between spring and summer. Path analysis enforced the notation that spring warming increased the CO2 sink, but summer warming decreased the sink.

Original languageEnglish
Pages (from-to)47-60
Number of pages14
JournalJournal of Agricultural Meteorology
Volume65
Issue number1
DOIs
Publication statusPublished - 2009

Fingerprint

Picea mariana
net ecosystem exchange
primary productivity
respiration
cell respiration
climate
productivity
air temperature
summer
warming
ecosystem respiration
radiometers
path analysis
eddy covariance
vapor pressure
AVHRR
NDVI
seasonality
photosynthesis
observation satellite

Keywords

  • Alaska
  • AVHRR
  • Black spruce forests
  • CO fluxes
  • High latitude warming

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Atmospheric Science

Cite this

Satellite Observations of Decadal Scale CO2 Fluxes Over Black Spruce Forests in Alaska Associated with Climate Variability. / Date, Takafumi; Ota, Yuji; Iwata, Toru; Yamamoto, Susumu; Ueyama, Masahito; Harazono, Yoshinobu.

In: Journal of Agricultural Meteorology, Vol. 65, No. 1, 2009, p. 47-60.

Research output: Contribution to journalArticle

Date, Takafumi ; Ota, Yuji ; Iwata, Toru ; Yamamoto, Susumu ; Ueyama, Masahito ; Harazono, Yoshinobu. / Satellite Observations of Decadal Scale CO2 Fluxes Over Black Spruce Forests in Alaska Associated with Climate Variability. In: Journal of Agricultural Meteorology. 2009 ; Vol. 65, No. 1. pp. 47-60.
@article{86769ceddcd343ceb68a3a1666aeb7b6,
title = "Satellite Observations of Decadal Scale CO2 Fluxes Over Black Spruce Forests in Alaska Associated with Climate Variability",
abstract = "We improved the satellite-based empirical model (Kitamoto et al, 2007) by adding additional effective parameters on vapor pressure deficit (VPD) and photosynthesis, and estimated the CO2 budget within black spruce forests in Alaska. In the stand scale validation, our modified model successfully reproduced the observed gross primary productivity (GPP), ecosystem respiration (RE), and net ecosystem exchange (NEE) by the eddy covariance measurement. The 10-day average of the model output was highly correlated with the observed GPP (r2=0.9), RE (r2=0.9), and NEE (r2=0.7). We used the modified model to estimate the regional GPP, RE, and NEE of black spruce forests over Alaska from 1982 to 2003 by using the normalized difference vegetation index (NDVI) from the Advanced Very High Resolution Radiometer (AVHRR) and climate data. The estimated regional averages of GPP, RE, and NEE were 2,172, 2,008, and -164 g CO m-2 y-1 during the past 22 years. Our model analysis showed that GPP was mainly affected by spring air temperature, whereas RE was affected by summer air temperature, indicating that the sink strength of the black spruce forests was controlled by the seasonality in air temperature between spring and summer. Path analysis enforced the notation that spring warming increased the CO2 sink, but summer warming decreased the sink.",
keywords = "Alaska, AVHRR, Black spruce forests, CO fluxes, High latitude warming",
author = "Takafumi Date and Yuji Ota and Toru Iwata and Susumu Yamamoto and Masahito Ueyama and Yoshinobu Harazono",
year = "2009",
doi = "10.2480/agrmet.65.1.12",
language = "English",
volume = "65",
pages = "47--60",
journal = "J. AGRICULTURAL METEOROLOGY",
issn = "0021-8588",
publisher = "Society of Agricultural Meteorology of Japan/Nihon Nogyo Kisho Gakkai",
number = "1",

}

TY - JOUR

T1 - Satellite Observations of Decadal Scale CO2 Fluxes Over Black Spruce Forests in Alaska Associated with Climate Variability

AU - Date, Takafumi

AU - Ota, Yuji

AU - Iwata, Toru

AU - Yamamoto, Susumu

AU - Ueyama, Masahito

AU - Harazono, Yoshinobu

PY - 2009

Y1 - 2009

N2 - We improved the satellite-based empirical model (Kitamoto et al, 2007) by adding additional effective parameters on vapor pressure deficit (VPD) and photosynthesis, and estimated the CO2 budget within black spruce forests in Alaska. In the stand scale validation, our modified model successfully reproduced the observed gross primary productivity (GPP), ecosystem respiration (RE), and net ecosystem exchange (NEE) by the eddy covariance measurement. The 10-day average of the model output was highly correlated with the observed GPP (r2=0.9), RE (r2=0.9), and NEE (r2=0.7). We used the modified model to estimate the regional GPP, RE, and NEE of black spruce forests over Alaska from 1982 to 2003 by using the normalized difference vegetation index (NDVI) from the Advanced Very High Resolution Radiometer (AVHRR) and climate data. The estimated regional averages of GPP, RE, and NEE were 2,172, 2,008, and -164 g CO m-2 y-1 during the past 22 years. Our model analysis showed that GPP was mainly affected by spring air temperature, whereas RE was affected by summer air temperature, indicating that the sink strength of the black spruce forests was controlled by the seasonality in air temperature between spring and summer. Path analysis enforced the notation that spring warming increased the CO2 sink, but summer warming decreased the sink.

AB - We improved the satellite-based empirical model (Kitamoto et al, 2007) by adding additional effective parameters on vapor pressure deficit (VPD) and photosynthesis, and estimated the CO2 budget within black spruce forests in Alaska. In the stand scale validation, our modified model successfully reproduced the observed gross primary productivity (GPP), ecosystem respiration (RE), and net ecosystem exchange (NEE) by the eddy covariance measurement. The 10-day average of the model output was highly correlated with the observed GPP (r2=0.9), RE (r2=0.9), and NEE (r2=0.7). We used the modified model to estimate the regional GPP, RE, and NEE of black spruce forests over Alaska from 1982 to 2003 by using the normalized difference vegetation index (NDVI) from the Advanced Very High Resolution Radiometer (AVHRR) and climate data. The estimated regional averages of GPP, RE, and NEE were 2,172, 2,008, and -164 g CO m-2 y-1 during the past 22 years. Our model analysis showed that GPP was mainly affected by spring air temperature, whereas RE was affected by summer air temperature, indicating that the sink strength of the black spruce forests was controlled by the seasonality in air temperature between spring and summer. Path analysis enforced the notation that spring warming increased the CO2 sink, but summer warming decreased the sink.

KW - Alaska

KW - AVHRR

KW - Black spruce forests

KW - CO fluxes

KW - High latitude warming

UR - http://www.scopus.com/inward/record.url?scp=84879290448&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84879290448&partnerID=8YFLogxK

U2 - 10.2480/agrmet.65.1.12

DO - 10.2480/agrmet.65.1.12

M3 - Article

AN - SCOPUS:84879290448

VL - 65

SP - 47

EP - 60

JO - J. AGRICULTURAL METEOROLOGY

JF - J. AGRICULTURAL METEOROLOGY

SN - 0021-8588

IS - 1

ER -