Data-driven approaches to linking soil moisture and soil carbon

Khamis, Doran; Fry, Matt ORCID: https://orcid.org/0000-0003-1142-4039; Cooper, Hollie ORCID: https://orcid.org/0000-0002-1382-3407; Morrison, Ross ORCID: https://orcid.org/0000-0002-1847-3127; Blyth, Eleanor ORCID: https://orcid.org/0000-0002-5052-238X. 2022 Data-driven approaches to linking soil moisture and soil carbon. [Poster] In: 2022 UK Conference on Environmental Data Science, Lancaster, 5-7 July 2022. (Unpublished)

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Abstract/Summary

Soil moisture has a close relationship with soil carbon. The carbon content of soil affects the response of the moisture content to meteorological input; the moisture content of soil affects the amount and type of respiration that can occur. This work seeks to elucidate this relationship by building a predictive data-driven model of soil moisture using data from the COSMOS-UK sensor network and using it as a predictor of soil organic carbon. We roll this model out across the UK and compare results to the Countryside Survey carbon map. Further, using flux tower observations of night time net ecosystem exchange (of CO2), a model linking soil moisture to respiration is created and used to propose functional forms for respiration in land surface models.

Item Type:	Publication - Conference Item (Poster)
UKCEH and CEH Sections/Science Areas:	Water Resources (Science Area 2017-) Hydro-climate Risks (Science Area 2017-)
Date made live:	22 Mar 2023 11:56 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/534255

Item Type:

Publication - Conference Item (Poster)

UKCEH and CEH Sections/Science Areas:

Water Resources (Science Area 2017-)
Hydro-climate Risks (Science Area 2017-)

Date made live:

22 Mar 2023 11:56 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/534255