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Title: Using greenhouse gas fluxes to define soil functional types

Abstract

Soils provide key ecosystem services and directly control ecosystem functions; thus, there is a need to define the reference state of soil functionality. Most common functional classifications of ecosystems are vegetation-centered and neglect soil characteristics and processes. We propose Soil Functional Types (SFTs) as a conceptual approach to represent and describe the functionality of soils based on characteristics of their greenhouse gas (GHG) flux dynamics. We used automated measurements of CO2, CH4 and N2O in a forested area to define SFTs following a simple statistical framework. This study supports the hypothesis that SFTs provide additional insights on the spatial variability of soil functionality beyond information represented by commonly measured soil parameters (e.g., soil moisture, soil temperature, litter biomass). We discuss the implications of this framework at the plot-scale and the potential of this approach at larger scales. This approach is a first step to provide a framework to define SFTs, but a community effort is necessary to harmonize any global classification for soil functionality. A global application of the proposed SFT framework will only be possible if there is a community-wide effort to share data and create a global database of GHG emissions from soils.

Authors:
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Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1427916
Report Number(s):
PNNL-SA-126427
Journal ID: ISSN 0032-079X; KP1702010
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Resource Relation:
Journal Name: Plant and Soil; Journal Volume: 423; Journal Issue: 1-2
Country of Publication:
United States
Language:
English

Citation Formats

Petrakis, Sandra, Barba, Josep, Bond-Lamberty, Ben, and Vargas, Rodrigo. Using greenhouse gas fluxes to define soil functional types. United States: N. p., 2017. Web. doi:10.1007/s11104-017-3506-4.
Petrakis, Sandra, Barba, Josep, Bond-Lamberty, Ben, & Vargas, Rodrigo. Using greenhouse gas fluxes to define soil functional types. United States. doi:10.1007/s11104-017-3506-4.
Petrakis, Sandra, Barba, Josep, Bond-Lamberty, Ben, and Vargas, Rodrigo. Mon . "Using greenhouse gas fluxes to define soil functional types". United States. doi:10.1007/s11104-017-3506-4.
@article{osti_1427916,
title = {Using greenhouse gas fluxes to define soil functional types},
author = {Petrakis, Sandra and Barba, Josep and Bond-Lamberty, Ben and Vargas, Rodrigo},
abstractNote = {Soils provide key ecosystem services and directly control ecosystem functions; thus, there is a need to define the reference state of soil functionality. Most common functional classifications of ecosystems are vegetation-centered and neglect soil characteristics and processes. We propose Soil Functional Types (SFTs) as a conceptual approach to represent and describe the functionality of soils based on characteristics of their greenhouse gas (GHG) flux dynamics. We used automated measurements of CO2, CH4 and N2O in a forested area to define SFTs following a simple statistical framework. This study supports the hypothesis that SFTs provide additional insights on the spatial variability of soil functionality beyond information represented by commonly measured soil parameters (e.g., soil moisture, soil temperature, litter biomass). We discuss the implications of this framework at the plot-scale and the potential of this approach at larger scales. This approach is a first step to provide a framework to define SFTs, but a community effort is necessary to harmonize any global classification for soil functionality. A global application of the proposed SFT framework will only be possible if there is a community-wide effort to share data and create a global database of GHG emissions from soils.},
doi = {10.1007/s11104-017-3506-4},
journal = {Plant and Soil},
number = 1-2,
volume = 423,
place = {United States},
year = {Mon Dec 04 00:00:00 EST 2017},
month = {Mon Dec 04 00:00:00 EST 2017}
}