Understanding and quantifying carbon cycling in managed grasslands through model-data fusion

VM Myrgiotis, Rob Clement, SK Jones, Ben Keane, Mark Lee, Peter E Levy, RM Rees, Ute M. Skiba, Thomas Luke Smallman, Sylvia Toet , Mathew Williams, Emanuel Blei

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Abstract

Managed grasslands are extensive terrestrial ecosystems that provide a range of services. In addition to supporting the world’s various livestock production systems they contain climatically significant amounts of carbon (C). Understanding and quantifying the C dynamics of managed grasslands is complicated yet crucial.This presentation describes a process-model of C dynamics in managed grasslands (DALEC-Grass). DALEC-Grass is a model of intermediate complexity, which calculates primary productivity, dynamicallyallocates C to biomass tissues and describes the impacts of grazing/harvesting activities. The model is integrated into a Bayesian model-data fusion framework (CARDAMOM). CARDAMOM uses observations of ecosystem functioning (e.g. leaf area,
biomass, C fluxes) to optimise the model’s parameters while respecting a set of biogeochemical
and physiological rules. The model evaluation results presented demonstrate the model’s skill in
predicting primary productivity and C allocation patterns in UK grasslands using both ground and
satellite based leaf area index (LAI) time series as observational constraints.
Original languageEnglish
Pages4984
Number of pages1
DOIs
Publication statusFirst published - 4 May 2020
EventEGU General Assembly -
Duration: 4 May 20208 May 2020
https://egu2020.eu/

Conference

ConferenceEGU General Assembly
Period4/05/208/05/20
Internet address

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    Myrgiotis, VM., Clement, R., Jones, SK., Keane, B., Lee, M., Levy, P. E., Rees, RM., Skiba, U. M., Smallman, T. L., Toet , S., Williams, M., & Blei, E. (2020). Understanding and quantifying carbon cycling in managed grasslands through model-data fusion. 4984. Abstract from EGU General Assembly, . https://doi.org/10.5194/egusphere-egu2020-4984