LPJmL paleo-agroecological results
Agroecological results
Simple
- Date (Creation)
- 2017-02-16
- Purpose
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Scientific paper
- Status
- Completed
- Maintenance and update frequency
- As needed
- Discipline
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agroecological
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- Temporal
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Holocene
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GEMET - INSPIRE themes, version 1.0
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Geology
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- Access constraints
- Intellectual property rights
- Use constraints
- Intellectual property rights
- Spatial representation type
- Grid
- Language
- English
- Character set
- UTF8
- Topic category
-
- Geoscientific information
- Begin date
- 8400 BP
- End date
- 1400 BP
- Supplemental Information
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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
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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
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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
- English
- Character set
- UTF8
- Date stamp
- 2020-10-20T15:31:08
- Metadata standard name
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ISO 19115:2003/19139
- Metadata standard version
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1.0