Modeling whole-tree carbon assimilation rate using observed transpiration rates and needle sugar carbon isotope ratios.
*Understanding controls over plant-atmosphere CO(2) exchange is important for quantifying carbon budgets across a range of spatial and temporal scales. In this study, we used a simple approach to estimate whole-tree CO(2) assimilation rate (A(Tree)) in a subalpine forest ecosystem. *We analysed the carbon isotope ratio (delta(13)C) of extracted needle sugars and combined it with the daytime leaf-to-air vapor pressure deficit to estimate tree water-use efficiency (WUE). The estimated WUE was then combined with observations of tree transpiration rate (E) using sap flow techniques to estimate A(Tree). Estimates of A(Tree) for the three dominant tree species in the forest were combined with species distribution and tree size to estimate and gross primary productivity (GPP) using an ecosystem process model. *A sensitivity analysis showed that estimates of A(Tree) were more sensitive to dynamics in E than delta(13)C. At the ecosystem scale, the abundance of lodgepole pine trees influenced seasonal dynamics in GPP considerably more than Engelmann spruce and subalpine fir because of its greater sensitivity of E to seasonal climate variation. *The results provide the framework for a nondestructive method for estimating whole-tree carbon assimilation rate and ecosystem GPP over daily-to weekly time scales.
Hu
Jia
J
Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO 80309, USA. jia.hu@colorado.edu
Moore
David J P
DJ
Riveros-Iregui
Diego A
DA
Burns
Sean P
SP
Monson
Russell K
RK
D002241:Carbohydrates / Q000737:chemistry*; D002244:Carbon / Q000378:metabolism*; D002245:Carbon Dioxide / Q000378:metabolism; D002247:Carbon Isotopes; D016001:Confidence Intervals; D008685:Meteorological Concepts; D008954:Models, Biological; D009010:Monte Carlo Method; D010788:Photosynthesis / Q000502:physiology; D018515:Plant Leaves / Q000378:metabolism*; D018526:Plant Transpiration / Q000502:physiology*; D012044:Regression Analysis; D012914:Snow; D014197:Trees / Q000378:metabolism*; D014867:Water / Q000378:metabolism
D002241:Carbohydrates; D002247:Carbon Isotopes; D014867:Water; D002245:Carbon Dioxide; D002244:Carbon