Articles | Volume 13, issue 12
Biogeosciences, 13, 3757–3776, 2016
https://doi.org/10.5194/bg-13-3757-2016
Biogeosciences, 13, 3757–3776, 2016
https://doi.org/10.5194/bg-13-3757-2016

Research article 29 Jun 2016

Research article | 29 Jun 2016

Combining livestock production information in a process-based vegetation model to reconstruct the history of grassland management

Jinfeng Chang et al.

Data sets

EC-JRC-MARS database (European Union, 2011-2014) European Commision http://mars.jrc.ec.europa.eu/mars/About-us/AGRI4CAST/Data-distribution/AGRI4CAST-Interpolated-Meteorological-Data

ORCHIDEE Institut Pierre Simon Laplace http://forge.ipsl.jussieu.fr/orchidee/browser/trunk#ORCHIDEE

CRU-NCEPv4, CRUNCEP dataset N. Viovy http://dods.extra.cea.fr/data/p529viov/cruncep/readme.htm

FAOSTAT DATA FAOSTAT http://faostat3.fao.org/

HYDE database PBL Netherlands Environmental Assessment Agency http://themasites.pbl.nl/tridion/en/themasites/hyde/landusedata/livestock/index-2.html

Global Climate Data WorldClim http://www.worldclim.org/

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Short summary
We derived the global maps of grassland management intensity of 1901–2012, including the minimum area of managed grassland with fraction of mown/grazed part. These maps, to our knowledge for the first time, provide global, time-dependent information for drawing up global estimates of management impact on biomass production and yields and for global vegetation models to enable simulations of carbon stocks and GHG budgets beyond simple tuning of grassland productivities to account for management.
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