Upscaling CO2 fluxes using leaf, soil and chamber measurements across successional growth stages in a sagebrush steppe ecosystem

被引:12
|
作者
Cleary, M. B. [1 ]
Naithani, K. J. [1 ,2 ]
Ewers, B. E. [1 ,2 ]
Pendall, E. [1 ,2 ]
机构
[1] Univ Wyoming, Dept Bot, Laramie, WY 82071 USA
[2] Univ Wyoming, Program Ecol, Laramie, WY 82071 USA
关键词
Artemisia tridentata; Gross primary productivity; Respiration; Net ecosystem exchange; Prescribed burn; Disturbance; NET ECOSYSTEM; PRECIPITATION PULSES; BOREAL FOREST; CARBON FLUXES; GAS-EXCHANGE; RESPIRATION; TEMPERATURE; PATTERNS; RECOVERY; DROUGHT;
D O I
10.1016/j.jaridenv.2015.05.013
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Understanding and upscaling CO2 flux drivers from components (leaf and soil) to net ecosystem exchange (NEE) is critical to modeling exchange of terrestrial ecosystems. Our main objectives were to determine abiotic and biotic drivers of NEE, upscale CO2 fluxes from component measurements and validate the upscaling method using independent ecosystem scale (chamber) measurements. We measured four big sagebrush successional stages Wyoming, USA: recent growth (2 years since disturbance, ysd), establishment (9 ysd), expansion (20 ysd), and mature (38 ysd). Leaf biomass correlated with NEE (p < 0.01) and month of the growing season (p < 0.01), but not with soil dryness (p = 0.26) or with ysd (p = 0.99). Upscaled component measurements correlated to chamber measurements better when all stages were combined for both GPP (p = 0.01, slope 0.29, intercept -6.8) and ecosystem respiration (R-E). R-E correlated without leaf respiration (R-L) added to soil respiration (R-S, p = 0.01, slope 1.2, intercept 1.44) and with R-L, added to R-S (p < 0.01, slope 1.2, intercept -0.30). Temporal changes in leaf biomass both in the short term (growing season) and long-term (ysd) can be discriminated to improve CO2 flux estimates when upscaling. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:43 / 51
页数:9
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