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LPJmL paleo-agroecological results

Agroecological results

Simple

Date ( Creation )
2017-02-16
Purpose
Scientific paper
Status
Completed
Author
  IMBE UMR 6372 CNRS - Daniel CONTRERAS ( )
Maintenance and update frequency
As needed
Keywords ( Discipline )
  • agroecological
Keywords ( Temporal )
  • Holocene
GEMET - INSPIRE themes, version 1.0 ( Theme )
  • Geology
Access constraints
Intellectual property rights
Use constraints
Intellectual property rights
Spatial representation type
Grid
Metadata language
en
Character set
UTF8
Topic category
  • Geoscientific information
Begin date
8400 BP
End date
1400 BP
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Supplemental Information

This tar.gz contains four folders, for two parameterizations of two crops: wheat and peas. Par 1 and Par 2 for each crop represent high and low assumptions about agricultural intensity, respectively. See Contreras et al. 2018 for details or parameterizing LPJmL for past agriculture. The paleoclimate reconstruction used to generate these iterations of LPJmL is a downscaled version of the Guiot and Kaniewski 2015 dataset.

CONTRERAS, D.A., A. BONDEAU., J. GUIOT., A. KIRMAN., E. HIRIART., L. BERNARD., R. SUAREZ. & M. FADER. 2018. From Paleoclimate Variables to Prehistoric Agriculture: Using a Process-Based Agroecosystem Model to Simulate the Impacts of Holocene Climate Change on Potential Agricultural Productivity in Provence, France Quaternary International.

Reference system identifier
WGS 1984
OnLine resource
LPJmL_results.tar.gz (2.3 Go) ( WWW:LINK-1.0-http--link )

This tar.gz contains four folders, for two parameterizations of two crops: wheat and peas. Par 1 and Par 2 for each crop represent high and low assumptions about agricultural intensity, respectively. See Contreras et al. 2018 for details or parameterizing LPJmL for past agriculture. The paleoclimate reconstruction used to generate these iterations of LPJmL is a downscaled version of the Guiot and Kaniewski 2015 dataset.

Hierarchy level
Dataset
Statement

This dataset includes LPJmL (the Lund-Potsdam-Jena managed land model; see Bondeau et al. 2007 for details) results for high and low assumptions (Par 1 and and Par 2, respectively) about agricultural intensity for two crop types (wheat and peas) over the period 8400 – 1400 BP. Parameterization of LPJmL for past agriculture is based on archaeological, historic, ethnographic, and experimental data about pre-industrial agriculture, detailed in Contreras et al. 2018. These 300m-pixel annual reconstructions of potential agricultural productivity are based on paleoclimate data downscaled (see Contreras et al. 2018b) from Guiot and Kaniewski’s Mediterranean-wide Holocene reconstruction (Guiot and Kaniewski 2015).

BONDEAU, A., P.C. SMITH., S. ZAEHLE., S. SCHAPHOFF., W. LUCHT., W. CRAMER., D. GERTEN., H. LOTZE-CAMPEN., C. MÜLLER., M. REICHSTEIN. & B. SMITH. 2007. Modelling the role of agriculture for the 20th century global terrestrial carbon balance Global Change Biology 13: 679–706.

CONTRERAS, D.A., A. BONDEAU., J. GUIOT., A. KIRMAN., E. HIRIART., L. BERNARD., R. SUAREZ. & M. FADER. 2018a. From Paleoclimate Variables to Prehistoric Agriculture: Using a Process-Based Agroecosystem Model to Simulate the Impacts of Holocene Climate Change on Potential Agricultural Productivity in Provence, France Quaternary International.

CONTRERAS, D.A., J. GUIOT., R. SUAREZ. & A. KIRMAN. 2018b. Reaching the Human Scale: A Spatial and Temporal Downscaling Approach to the Archaeological Implications of Paleoclimate Data Journal of Archaeological Science 93: 54–67.

GUIOT, J. & D. KANIEWSKI. 2015. The Mediterranean Basin and Southern Europe in a warmer world: what can we learn from the past? Frontiers in Earth Science 3: 1–16.

File identifier
b51098e2-791d-46ed-a406-51194abc5225 XML
Metadata language
en
Character set
UTF8
Date stamp
2020-10-20T15:31:08
Metadata standard name
ISO 19115:2003/19139
Metadata standard version
1.0
Author
  IMBE UMR 6372 CNRS - Daniel CONTRERAS ( )
 
 

Overviews

Spatial extent

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Keywords

GEMET - INSPIRE themes, version 1.0
Geology

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Associated resources

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