Alternate Trait-Based Leaf Respiration Schemes Evaluated at Ecosystem-Scale Through Carbon Optimization Modeling and Canopy Property Data
Leaf maintenance respiration (Rleaf,m) is a major but poorly understood component of the terrestrial carbon cycle (C). Earth systems models (ESMs) use simple sub-models relating Rleaf,m to leaf traits, applied at canopy scale. Rleaf,m models vary depending on which leaf N traits they incorporate (e....
Published in: | Journal of Advances in Modeling Earth Systems |
---|---|
Main Authors: | , , , , , |
Other Authors: | |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
American Geophysical Union
2019
|
Subjects: | |
Online Access: | http://hdl.handle.net/10919/104992 https://doi.org/10.1029/2019MS001679 |
id |
ftvirginiatec:oai:vtechworks.lib.vt.edu:10919/104992 |
---|---|
record_format |
openpolar |
spelling |
ftvirginiatec:oai:vtechworks.lib.vt.edu:10919/104992 2023-12-24T10:13:56+01:00 Alternate Trait-Based Leaf Respiration Schemes Evaluated at Ecosystem-Scale Through Carbon Optimization Modeling and Canopy Property Data Journal of Advances in Modeling Earth Systems Thomas, R. Quinn Williams, M. Cavaleri, M. A. Exbrayat, J. -F. Smallman, T. L. Street, L. E. Forest Resources and Environmental Conservation 2019-12-25 Pages 4629-4644 16 page(s) application/pdf http://hdl.handle.net/10919/104992 https://doi.org/10.1029/2019MS001679 en eng American Geophysical Union http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000504282900001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1 1942-2466 http://hdl.handle.net/10919/104992 https://doi.org/10.1029/2019MS001679 11 12 Thomas, R. Quinn [0000-0003-1282-7825] Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Physical Sciences Meteorology & Atmospheric Sciences carbon Nitrogen scaling ecosystem modeling Optimization respiration Rain forest Primary productivity ARCTIC TRANSECT AREA INDEX Plant Photosynthesis Exchange Climate Evapotranspiration 0401 Atmospheric Sciences Article - Refereed Article Journal Text 2019 ftvirginiatec https://doi.org/10.1029/2019MS001679 2023-11-30T19:04:14Z Leaf maintenance respiration (Rleaf,m) is a major but poorly understood component of the terrestrial carbon cycle (C). Earth systems models (ESMs) use simple sub-models relating Rleaf,m to leaf traits, applied at canopy scale. Rleaf,m models vary depending on which leaf N traits they incorporate (e.g., mass or area based) and the form of relationship (linear or nonlinear). To simulate vegetation responses to global change, some ESMs include ecological optimization to identify canopy structures that maximize net C accumulation. However, the implications for optimization of using alternate leaf-scale empirical Rleaf,m models are undetermined. Here we combine alternate well-known empirical models of Rleaf,m with a process model of canopy photosynthesis. We quantify how net canopy exports of C vary with leaf area index (LAI) and total canopy N (TCN). Using data from tropical and arctic canopies, we show that estimates of canopy Rleaf,m vary widely among the three models. Using an optimization framework, we show that the LAI and TCN values maximizing C export depends strongly on the Rleaf,m model used. No single model could match observed arctic and tropical LAI-TCN patterns with predictions of optimal LAI-TCN. We recommend caution in using leaf-scale empirical models for components of ESMs at canopy-scale. Rleaf,m models may produce reasonable results for a specified LAI, but, due to their varied representations of Rleaf,mfoliar N sensitivity, are associated with different and potentially unrealistic optimization dynamics at canopy scale. We recommend ESMs to be evaluated using response surfaces of canopy C export in LAI-TCN space to understand and mitigate these risks. Published version Article in Journal/Newspaper Arctic VTechWorks (VirginiaTech) Arctic Journal of Advances in Modeling Earth Systems 11 12 4629 4644 |
institution |
Open Polar |
collection |
VTechWorks (VirginiaTech) |
op_collection_id |
ftvirginiatec |
language |
English |
topic |
Physical Sciences Meteorology & Atmospheric Sciences carbon Nitrogen scaling ecosystem modeling Optimization respiration Rain forest Primary productivity ARCTIC TRANSECT AREA INDEX Plant Photosynthesis Exchange Climate Evapotranspiration 0401 Atmospheric Sciences |
spellingShingle |
Physical Sciences Meteorology & Atmospheric Sciences carbon Nitrogen scaling ecosystem modeling Optimization respiration Rain forest Primary productivity ARCTIC TRANSECT AREA INDEX Plant Photosynthesis Exchange Climate Evapotranspiration 0401 Atmospheric Sciences Thomas, R. Quinn Williams, M. Cavaleri, M. A. Exbrayat, J. -F. Smallman, T. L. Street, L. E. Alternate Trait-Based Leaf Respiration Schemes Evaluated at Ecosystem-Scale Through Carbon Optimization Modeling and Canopy Property Data |
topic_facet |
Physical Sciences Meteorology & Atmospheric Sciences carbon Nitrogen scaling ecosystem modeling Optimization respiration Rain forest Primary productivity ARCTIC TRANSECT AREA INDEX Plant Photosynthesis Exchange Climate Evapotranspiration 0401 Atmospheric Sciences |
description |
Leaf maintenance respiration (Rleaf,m) is a major but poorly understood component of the terrestrial carbon cycle (C). Earth systems models (ESMs) use simple sub-models relating Rleaf,m to leaf traits, applied at canopy scale. Rleaf,m models vary depending on which leaf N traits they incorporate (e.g., mass or area based) and the form of relationship (linear or nonlinear). To simulate vegetation responses to global change, some ESMs include ecological optimization to identify canopy structures that maximize net C accumulation. However, the implications for optimization of using alternate leaf-scale empirical Rleaf,m models are undetermined. Here we combine alternate well-known empirical models of Rleaf,m with a process model of canopy photosynthesis. We quantify how net canopy exports of C vary with leaf area index (LAI) and total canopy N (TCN). Using data from tropical and arctic canopies, we show that estimates of canopy Rleaf,m vary widely among the three models. Using an optimization framework, we show that the LAI and TCN values maximizing C export depends strongly on the Rleaf,m model used. No single model could match observed arctic and tropical LAI-TCN patterns with predictions of optimal LAI-TCN. We recommend caution in using leaf-scale empirical models for components of ESMs at canopy-scale. Rleaf,m models may produce reasonable results for a specified LAI, but, due to their varied representations of Rleaf,mfoliar N sensitivity, are associated with different and potentially unrealistic optimization dynamics at canopy scale. We recommend ESMs to be evaluated using response surfaces of canopy C export in LAI-TCN space to understand and mitigate these risks. Published version |
author2 |
Forest Resources and Environmental Conservation |
format |
Article in Journal/Newspaper |
author |
Thomas, R. Quinn Williams, M. Cavaleri, M. A. Exbrayat, J. -F. Smallman, T. L. Street, L. E. |
author_facet |
Thomas, R. Quinn Williams, M. Cavaleri, M. A. Exbrayat, J. -F. Smallman, T. L. Street, L. E. |
author_sort |
Thomas, R. Quinn |
title |
Alternate Trait-Based Leaf Respiration Schemes Evaluated at Ecosystem-Scale Through Carbon Optimization Modeling and Canopy Property Data |
title_short |
Alternate Trait-Based Leaf Respiration Schemes Evaluated at Ecosystem-Scale Through Carbon Optimization Modeling and Canopy Property Data |
title_full |
Alternate Trait-Based Leaf Respiration Schemes Evaluated at Ecosystem-Scale Through Carbon Optimization Modeling and Canopy Property Data |
title_fullStr |
Alternate Trait-Based Leaf Respiration Schemes Evaluated at Ecosystem-Scale Through Carbon Optimization Modeling and Canopy Property Data |
title_full_unstemmed |
Alternate Trait-Based Leaf Respiration Schemes Evaluated at Ecosystem-Scale Through Carbon Optimization Modeling and Canopy Property Data |
title_sort |
alternate trait-based leaf respiration schemes evaluated at ecosystem-scale through carbon optimization modeling and canopy property data |
publisher |
American Geophysical Union |
publishDate |
2019 |
url |
http://hdl.handle.net/10919/104992 https://doi.org/10.1029/2019MS001679 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000504282900001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1 1942-2466 http://hdl.handle.net/10919/104992 https://doi.org/10.1029/2019MS001679 11 12 Thomas, R. Quinn [0000-0003-1282-7825] |
op_rights |
Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1029/2019MS001679 |
container_title |
Journal of Advances in Modeling Earth Systems |
container_volume |
11 |
container_issue |
12 |
container_start_page |
4629 |
op_container_end_page |
4644 |
_version_ |
1786187473797251072 |