Estimating heterotrophic respiration at large scales: challenges, approaches, and next steps Public Deposited

http://ir.library.oregonstate.edu/concern/articles/jd472z30m

To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. This is the publisher’s final pdf. The article is copyrighted by the author(s) and published by John Wiley & Sons, Inc. on behalf of the Ecological Society of American. It can be found at:  http://esajournals.onlinelibrary.wiley.com/hub/journal/10.1002/%28ISSN%292150-8925/

Descriptions

Attribute NameValues
Creator
Abstract or Summary
  • Heterotrophic respiration (HR), the aerobic and anaerobic processes mineralizing organic matter, is a key carbon flux but one impossible to measure at scales significantly larger than small experimental plots. This impedes our ability to understand carbon and nutrient cycles, benchmark models, or reliably upscale point measurements. Given that a new generation of highly mechanistic, genomic-specific global models is not imminent, we suggest that a useful step to improve this situation would be the development of “Decomposition Functional Types” (DFTs). Analogous to plant functional types (PFTs), DFTs would abstract and capture important differences in HR metabolism and flux dynamics, allowing modelers and experimentalists to efficiently group and vary these characteristics across space and time. We argue that DFTs should be initially informed by top-down expert opinion, but ultimately developed using bottom-up, data-driven analyses, and provide specific examples of potential dependent and independent variables that could be used. We present an example clustering analysis to show how annual HR can be broken into distinct groups associated with global variability in biotic and abiotic factors, and demonstrate that these groups are distinct from (but complementary to) already-existing PFTs. A similar analysis incorporating observational data could form the basis for future DFTs. Finally, we suggest next steps and critical priorities: collection and synthesis of existing data; more in-depth analyses combining open data with rigorous testing of analytical results; using point measurements and realistic forcing variables to constrain process-based models; and planning by the global modeling community for decoupling decomposition from fixed site data. These are all critical steps to build a foundation for DFTs in global models, thus providing the ecological and climate change communities with robust, scalable estimates of HR.
Resource Type
DOI
Date Available
Date Issued
Citation
  • Bond‐Lamberty, B., Epron, D., Harden, J., Harmon, M. E., Hoffman, F., Kumar, J., ... & Vargas, R. (2016). Estimating heterotrophic respiration at large scales: challenges, approaches, and next steps. Ecosphere, 7(6), e01380. doi:10.1002/ecs2.1380
Series
Keyword
Rights Statement
Funding Statement (additional comments about funding)
Publisher
Peer Reviewed
Language
Replaces
Additional Information
  • description.provenance : Made available in DSpace on 2016-07-29T16:05:57Z (GMT). No. of bitstreams: 2 krauserp523626657.zip: 1795135 bytes, checksum: 54a3726fdbed3f3062645c409b503f20 (MD5) BondLambertyEstimatingHeterotrophicRespiration.pdf: 2053272 bytes, checksum: 24a440300411f5e9cf4635d5a9d7f3b2 (MD5) Previous issue date: 2016-06
  • description.provenance : Submitted by Open Access (openaccess@library.oregonstate.edu) on 2016-07-25T16:48:26Z No. of bitstreams: 1 BondLambertyEstimatingHeterotrophicRespiration.pdf: 2053272 bytes, checksum: 24a440300411f5e9cf4635d5a9d7f3b2 (MD5)
  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2016-07-29T16:05:57Z (GMT) No. of bitstreams: 2 krauserp523626657.zip: 1795135 bytes, checksum: 54a3726fdbed3f3062645c409b503f20 (MD5) BondLambertyEstimatingHeterotrophicRespiration.pdf: 2053272 bytes, checksum: 24a440300411f5e9cf4635d5a9d7f3b2 (MD5)

Relationships

In Administrative Set:
Last modified: 07/25/2016

Downloadable Content

Download PDF
Citations:

EndNote | Zotero | Mendeley

Items