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Edinburgh DataShare

Dataset . 2022

License: CC BY

Data sources: Bielefeld Academic Search Engine (BASE)

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The carbon budget of the managed grasslands of Great Britain - informed by earth observations ; Model-estimated carbon pools and fluxes of a sample of grassland ecosystems in Great Britain (2017-2018)

Name: The carbon budget of the managed grasslands of Great Britain - informed by earth observations ; Model-estimated carbon pools and fluxes of a sample of grassland ecosystems in Great Britain (2017-2018)
Keywords: climate change, biogeochemistry, carbon, grasslands, Veterinary Sciences Agriculture and related subjects::Agricultural Biochemistry

Research datakeyboard_double_arrow_right Dataset 23 Aug 2022 English Publisher:University of Edinburgh. School of GeoSciences. Global Change Ecology Lab

Authors: Myrgiotis, Vasilis; Williams, Mathew;

handle: 10283/4492

The carbon budget of the managed grasslands of Great Britain - informed by earth observations ; Model-estimated carbon pools and fluxes of a sample of grassland ecosystems in Great Britain (2017-2018)

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Abstract

Model inputs, model code and aggregated model outputs (seasonal, annual) for every grassland field simulated (2017-2018) in "Myrgiotis et al. The carbon budget of the managed grasslands of Great Britain - informed by earth observations, Biogeosciences, 2022". Input files include (1) climate data (sitecode_M.npy) and (2) satellite based observations of Leaf Area Index (sitecode_O.pkl). Model code written in fortran. Model outputs (i.e. carbon pools, fluxes and balance for 2017 and 2018) aggregated annually (annual_outputs.csv) and monthly (annual_outputs.csv).

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University of Edinburgh
United Kingdom

Keywords

climate change, biogeochemistry, carbon, grasslands, Veterinary Sciences Agriculture and related subjects::Agricultural Biochemistry

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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