The Shifting Role of mRUE for Regulating Ecosystem Production
Abstract
To design a comprehensive view of ecosystem resource use, in this work we integrated parallel resource use efficiency observations into a multiple-resource use efficiency (mRUE) framework using a dynamic factor analysis model. Results from 56 site-years of eddy covariance data and mRUE factors for a site in the US Midwest show temporal dynamics and coherence (using Pearson’s R) among resources are associated with interannual variation in precipitation. Loading factors are derived from mRUE observations and quantify how strongly data are connected to the underlying ecosystem state. Water and light resource use loading factors are coherent at annual timescales (Pearson’s R of 0.86), whereas declining patterns of carbon use efficiency loading factors highlight the ecosystem’s trade-off between carbon uptake and respiration during the growing season. At annual and monthly timescales, influence decreases from ~85 to ~65% for loading factors for carbon use, while influence of light use loading factors peaks to ~60% at growing season timescales. Quantifying variation in ecosystem function provides novel insights into the temporal dynamics of changing significance of multiple resources to ecosystem function.
- Authors:
-
- Michigan State Univ., East Lansing, MI (United States)
- Publication Date:
- Research Org.:
- Great Lakes Bioenergy Research Center (GLBRC), Madison, WI (United States)
- Sponsoring Org.:
- National Aeronautics and Space Administration (NASA); USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1550915
- Grant/Contract Number:
- SC0018409; FC02-07ER64494; NNX17AE16G; DEB 1637653
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Ecosystems
- Additional Journal Information:
- Journal Volume: 23; Journal ID: ISSN 1432-9840
- Publisher:
- Springer
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; multiple-resource use efficiency; ecosystem production; eddy covariance; dynamic factor analysis; carbon cycling; ecosystem function
Citation Formats
Reed, David E., Chen, Jiquan, Abraha, Michael, Robertson, G. Philip, and Dahlin, Kyla M. The Shifting Role of mRUE for Regulating Ecosystem Production. United States: N. p., 2019.
Web. doi:10.1007/s10021-019-00407-4.
Reed, David E., Chen, Jiquan, Abraha, Michael, Robertson, G. Philip, & Dahlin, Kyla M. The Shifting Role of mRUE for Regulating Ecosystem Production. United States. https://doi.org/10.1007/s10021-019-00407-4
Reed, David E., Chen, Jiquan, Abraha, Michael, Robertson, G. Philip, and Dahlin, Kyla M. Thu .
"The Shifting Role of mRUE for Regulating Ecosystem Production". United States. https://doi.org/10.1007/s10021-019-00407-4. https://www.osti.gov/servlets/purl/1550915.
@article{osti_1550915,
title = {The Shifting Role of mRUE for Regulating Ecosystem Production},
author = {Reed, David E. and Chen, Jiquan and Abraha, Michael and Robertson, G. Philip and Dahlin, Kyla M.},
abstractNote = {To design a comprehensive view of ecosystem resource use, in this work we integrated parallel resource use efficiency observations into a multiple-resource use efficiency (mRUE) framework using a dynamic factor analysis model. Results from 56 site-years of eddy covariance data and mRUE factors for a site in the US Midwest show temporal dynamics and coherence (using Pearson’s R) among resources are associated with interannual variation in precipitation. Loading factors are derived from mRUE observations and quantify how strongly data are connected to the underlying ecosystem state. Water and light resource use loading factors are coherent at annual timescales (Pearson’s R of 0.86), whereas declining patterns of carbon use efficiency loading factors highlight the ecosystem’s trade-off between carbon uptake and respiration during the growing season. At annual and monthly timescales, influence decreases from ~85 to ~65% for loading factors for carbon use, while influence of light use loading factors peaks to ~60% at growing season timescales. Quantifying variation in ecosystem function provides novel insights into the temporal dynamics of changing significance of multiple resources to ecosystem function.},
doi = {10.1007/s10021-019-00407-4},
journal = {Ecosystems},
number = ,
volume = 23,
place = {United States},
year = {Thu Jun 13 00:00:00 EDT 2019},
month = {Thu Jun 13 00:00:00 EDT 2019}
}
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