CCAB - DSSAT Model - Suitability for Wheat at Low CO2 (ds.mz.suit.lowCO2.tif)

Images show the projected suitability by DSSAT (ds) model for spring wheat (wh),

under simulations in which plant response to elevated CO2 was assumed to be

unenhanced (lowco2). The images are expressed as a fraction of 18 scenarios,

where 0 means all scenarios show no suitability, and 1 means all scenarios show

suitability.

Simple

Date (Publication)
Edition

1.0
Purpose

To illustrate the potential distributions of areas suitable for maize and wheat production under future climate change scenarios.
Status
On going
Custodian
  Princeton University - Lyndon Estes ( The GIS Officer )
Princeton University , Princeton , NJ , 08544 , USA
+1-202-431-0496
Maintenance and update frequency
As needed
Theme

  • Climate Change

  • Agriculture
Place

  • South Africa
Access constraints
Copyright
Use constraints
otherRestictions
Other constraints

Copyright holder: Princeton University
Spatial representation type
Vector
Denominator
50000
Language
English
Character set
UTF8
Topic category
  • Environment
Begin date
2016-01-01
N
S
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W
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Reference system identifier
WGS 1984

Distributor

Distributor
  SANBI
Name

ZIP
Version

1
OnLine resource
A list of services published are available at this URL. ( WWW:LINK-1.0-http--link )

BGIS Map Services

OnLine resource
A list of spatial data-sets are available at this URL. ( WWW:LINK-1.0-http--related )

BGIS Spatial Datasets

Hierarchy level
Dataset
Statement

Described in Estes et al. (in review, in prep)


Available documentation:

Estes, L.D., Bradley, B.A., Beukes, H., Hole. D.G., Lau, M., Oppenheimer, M., Schulze, R., Tadross, M., Turner, W. Comparing mechanistic and empirical model projections of crop suitability and productivity: Implications for projecting ecological change. Global Ecology and Biogeography, in revision.


Estes, L.D., Bradley, B.A., Oppenheimer, M., Ruane, A., Schulze, R., Tadross, M., Turner, W.R., Wilcove, D.S. Projected climate impacts to South African maize and wheat production in 2055: A comparison of empirical and mechanistic modeling approaches. In prep.
File identifier
5e90f9f2-1c5b-4a63-9684-440d1714db38 XML
Metadata language
English
Character set
UTF8
Date stamp
2017-05-24T11:15:15
Metadata standard name

SANS 1878
Metadata standard version

FGDC-STD-001-1998
Distributor
  SANBI - ( The Metadata Manager )
Kirstenbosch Research Centre , Cape Town , Claremont , 7735 , South Africa
+27 21 799 8738
 
 

Overviews

Spatial extent

N
S
E
W
thumbnail


Keywords

Agriculture Climate Change

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