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Published on: June 24, 2019
Coupling between carbon cycling and climate in a high-elevation, subalpine forest: a model-data fusion analysis
William J Sacks1, David S Schimel, Russell K Monson
1Center for Sustainability and the Global Environment, Nelson Institute for Environmental Studies, University of Wisconsin-Madison, 1710 University Avenue, Madison, WI 53726, USA. wsacks@wisc.edu
Climate significantly impacts terrestrial carbon exchange. Longer growing seasons can decrease CO2 uptake due to water limitations, while warmer springs increase uptake only with sufficient moisture.
Area of Science:
- Ecology
- Climate Science
- Biogeochemistry
Background:
- Terrestrial ecosystems play a crucial role in regulating atmospheric CO2. Understanding climate's influence on carbon cycling is vital for predicting future climate change.
- Net ecosystem CO2 exchange (NEE) is a key metric, but its components require further investigation to understand ecosystem responses to climate variability.
Purpose of the Study:
- To partition NEE into gross ecosystem CO2 exchange (GEE) and ecosystem respiration (RE) to analyze their climate-driven variability.
- To investigate the sub-components of ecosystem respiration (RE), specifically heterotrophic (RH) and autotrophic (RA) respiration.
- To assess the impact of climate factors on carbon fluxes at the Niwot Ridge AmeriFlux site.
Main Methods:
- Utilized an ecosystem process model integrated with 6 years of flux data from the Niwot Ridge AmeriFlux site.
- Separated observed NEE into GEE and RE using model-data fusion techniques.
- Attempted to partition RE into RH and RA, but faced challenges due to data limitations.
Main Results:
- Successfully separated GEE and RE, revealing that GEE variability drives most of the interannual NEE fluctuations.
- Found that longer growing seasons correlated with reduced net CO2 uptake due to late-season water scarcity.
- Observed that warmer spring temperatures enhanced CO2 uptake only when moisture was adequate, otherwise leading to reduced annual uptake.
Conclusions:
- Interannual NEE variability at Niwot Ridge is primarily driven by changes in GEE, not RE.
- Climate-water interactions, particularly snowmelt dynamics and spring moisture availability, critically influence the carbon balance of this ecosystem.
- Accurate partitioning of RE into RH and RA requires more distinct data contrasts than were available in this study.
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