Leveraging environmental research and observation networks to advance soil carbon science
Weintraub, Samantha R.; Flores, Alejandro N.; Wieder, William R.; Sihi, Debjani; Cagnarini, Claudia; Gonçalves, Daniel Ruiz Potma; Young, Michael H.; Li, Li; Olshansky, Yaniv; Baatz, Roland; Sullivan, Pamela L.; Groffman, Peter M.. 2019 Leveraging environmental research and observation networks to advance soil carbon science. Journal of Geophysical Research: Biogeosciences, 124 (5). 1047-1055. https://doi.org/10.1029/2018JG004956
Before downloading, please read NORA policies.
|
Text
©2019. American Geophysical Union. All Rights Reserved. N522763JA.pdf - Published Version Download (354kB) | Preview |
Abstract/Summary
Soil organic matter (SOM) is a critical ecosystem variable regulated by interacting physical, chemical and biological processes. Collaborative efforts to integrate perspectives, data, and models from interdisciplinary research and observation networks can significantly advance predictive understanding of SOM. We outline how integrating three networks – the Long‐Term Ecological Research, with a focus on ecological dynamics, the Critical Zone Observatories with strengths in landscape/geologic context, and the National Ecological Observatory Network with standardized multi‐scale measurements—can advance SOM knowledge. This integration requires improved data dissemination and sharing, coordinated data collection activities, and enhanced collaboration between empiricists and modelers within and across networks.
Item Type: | Publication - Article |
---|---|
Digital Object Identifier (DOI): | https://doi.org/10.1029/2018JG004956 |
UKCEH and CEH Sections/Science Areas: | Soils and Land Use (Science Area 2017-) |
ISSN: | 2169-8953 |
Additional Keywords: | soil organic matter, soil carbon, soil modelling, observatory network, data synthesis |
NORA Subject Terms: | Agriculture and Soil Science |
Date made live: | 02 Apr 2019 14:38 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/522763 |
Actions (login required)
View Item |
Document Downloads
Downloads for past 30 days
Downloads per month over past year