Premium
Modelling respiration of vegetation: evidence for a general temperature‐dependent Q 10
Author(s) -
Tjoelker Mark G.,
Oleksyn Jacek,
Reich Peter B.
Publication year - 2001
Publication title -
global change biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.146
H-Index - 255
eISSN - 1365-2486
pISSN - 1354-1013
DOI - 10.1046/j.1365-2486.2001.00397.x
Subject(s) - ecosystem , environmental science , vegetation (pathology) , soil water , respiration , atmospheric sciences , climate change , constant (computer programming) , soil respiration , ecology , soil science , biology , botany , physics , medicine , pathology , computer science , programming language
Summary Temperature responses of rates of respiratory CO 2 efflux from plants, soils, and ecosystems are frequently modelled using exponential functions with a constant Q 10 near 2.0 (fractional change in rate with a 10 °C increase in temperature). However, we present evidence that Q 10 declines with short‐term increases in temperature in a predictable manner across diverse plant taxa. Thus, models using a constant Q 10 are biased, and use of a temperature‐corrected Q 10 may improve the accuracy of modelled respiratory CO 2 efflux in plants and ecosystems in response to temperature and predicted global climate changes.