A nonparametric method for separating photosynthesis and respiration components in CO2 flux measurements -: art. no. L17107

被引:19
|
作者
Yi, CX
Li, RZ
Bakwin, PS
Desai, A
Ricciuto, DM
Burns, SP
Turnipseed, AA
Wofsy, SC
Munger, JW
Wilson, K
Monson, RK
机构
[1] Penn State Univ, Dept Meteorol, University Pk, PA 16802 USA
[2] Penn State Univ, Dept Stat, University Pk, PA 16802 USA
[3] NOAA, Climate Monitoring & Diagnost Lab, Boulder, CO 80305 USA
[4] NCAR Atmospher Chem Div, Boulder, CO USA
[5] Harvard Univ, Dept Earth & Planetary Sci, Cambridge, MA 02138 USA
[6] NOAA, Atmospher Turbulence & Diffus Div, Oak Ridge, TN 37831 USA
关键词
D O I
10.1029/2004GL020490
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Future climate change is expected to affect ecosystem-atmosphere CO2 exchange, particularly through the influence of temperature. To date, however, few studies have shown that differences in the response of net ecosystem CO2 exchange (NEE) to temperature among ecosystems can be explained by differences in the photosynthetic and respiratory processes that compose NEE. Using a new nonparametric statistical model, we analyzed data from four forest ecosystems. We observed that differences among forests in their ability to assimilate CO2 as a function of temperature were attributable to consistent differences in the temperature dependence of photosynthesis and respiration. This observation provides empirical validation of efforts to develop models of NEE from the first-principle relationships between photosynthetic and respiratory processes and climate. Our results also showed that models of seasonal dynamics in NEE that lack specific consideration of the temperature dependence of respiration and photosynthesis are likely to carry significant uncertainties.
引用
收藏
页码:L171071 / 5
页数:5
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