Optimization of a biochemical model with eddy covariance measurements in black spruce forests of Alaska for estimating CO2 fertilization effects-Reference-Cited by-同舟云学术

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Optimization of a biochemical model with eddy covariance measurements in black spruce forests of Alaska for estimating CO2 fertilization effects

Published:2016-05 Issue: Volume:222 Page:98-111
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Ueyama Masahito,Tahara Narumi,Iwata Hiroki,Euskirchen Eugénie S.,Ikawa Hiroki,Kobayashi Hideki,Nagano Hirohiko,Nakai Taro,Harazono Yoshinobu

Funder

Ministry of the Environment, Japan

JSPS KAKENHI

National Science Foundation

U.S. Geological Survey

Publisher

Elsevier BV

Subject

Atmospheric Science,Agronomy and Crop Science,Global and Planetary Change,Forestry

Reference87 articles.

1. FLUXNET: a new tool to study the temporal and spatial variability of ecosystem-scale variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities;Baldocchi;Bull. Am. Meteorol. Soc.,2001

2. Measuring fluxes of trace gases and energy between ecosystems and the atmosphere—the state and future of the eddy covariance method;Baldocchi;Global Change Biol.,2014

3. A model predicting stomatal conductance and its contribution to the control of photosynthesis under different environmental conditions;Ball,1987

4. Improved temperature response functions for models of Rubisco-limited photosynthesis;Bernacchi;Plant Cell Environ.,2001

5. In vivo temperature response functions of parameters required to model RuBP-limited photosynthesis;Bernacchi;Plant Cell Environ.,2003

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