This document discusses using DIVA-GIS software to link climate data with crop suitability for plant genetic resource management. It provides examples of how DIVA-GIS has been used to map pearl millet collecting sites in India against climate variables like temperature and rainfall. Probability analysis and diversity mapping of crop collections is demonstrated using FloraMap. Instructions for installing DIVA-GIS, Maxent, FloraMap and Google Earth software are also included.

1. DIVA-GIS: A tool to link climate date and
crop suitability – PGR management
1. DIVA-GIS: http://diva-
gis.org
2. Maxent:
http://www.cs.princeton.e
du~schapire/maxent
3. FloraMap: CD
4. Google Earth:
http://earth.google.com

2. What can we use it for?
1. Ecogeographic survey for locating
diversity
2. Planning field exploration and
germplasm collecting
3. Design, management and monitoring of
in situ reserves
4. Site identification for germplasm
introduction
5. Site identification for germplasm
evaluation

3. DIVA-GIS

4. DIVA-GIS

5. DIVA-GIS

6. DIVA-GIS

7. DIVA-GIS

8. Installation of DIVA-GIS
Version 7.0.6
Version 7.3.0
Version 7.4

9. Installation of DIVA-GIS

10. Installation of DIVA-GIS

11. Installation of DIVA-GIS

12. Installation of DIVA-GIS

13. GIS Application for PGR management
Major pearl
millet growing
areas in India

14. GIS Application for PGR management
Mapping of pearl millet
collecting sites against
cultivation area in India - 1993 •Looks for gaps
•Reasons for no
collections
Unique
collections •No efforts
•PM not grown
•Climate not
suitable
Gaps in •Climate
collection suitable-other
crops important

15. GIS Application for PGR management
Mapping of
collecting
sites against
soil types
Need some more
collections from red
and yellow soil
types

16. GIS Application for PGR management
Mapping of
Pearl millet
collections
from
different
climatic
zones of
India

17. GIS Application for PGR management
Pearl millet
collections from
major climatic zones
of India
 Most collections
are from arid and
semi-arid tropics
 Few collections
from sub-humid -
dry as well as wet
climate

18. GIS Application for PGR management
Mapping of pearl
millet collecting sites
against total annual
rainfall zones of
India
Majority of
collections are
up to 1000 mm
rainfall
Some are up
to 1400 mm
rainfall

19. GIS Application for PGR management
Mapping of pearl
millet collecting
sites against total
rainfall in growing
season (July –
November) in
India
Maps for
individual
months can
be generated

20. GIS Application for PGR management
Mapping
against average
minimum
temperature
grid
Most collections are
between temperature
range of 18-20
Followed by 20-22
Few from 22-24 and
16-18

21. GIS Application for PGR management
Maximum
temperature
grid
Most
collections are
from 30-35 0C
Gaps in
collection
from low
max.
temp

22. GIS Application for PGR management
Elevation grid
Most of the
collections
between 0 to 400
elevation
Some from
between 400 to
800
Few from
from 800 to 1000
Rare from
greater than
2000

23. GIS Application for PGR management
Minimum monthly average temperature of the major pearl millet growing areas
in India
25.00
20.00 Jan
Minimum temperature (0C)
Feb
Mar
15.00 Apr
May
Jun
10.00
Jul
Aug
Sep
5.00
Oct
Nov
Dec
0.00
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Mean Mean
Months

24. GIS Application for PGR management
Maximum monthly average temperature for the major pearl millet growing
areas in India
40.00
35.00
Jan
Maximum temerature ( C)
30.00 Feb
0
Mar
25.00 Apr
May
20.00 Jun
Jul
15.00 Aug
Sep
Oct
10.00
Nov
Dec
5.00
Mean
0.00
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Mean
Months

25. GIS Application for PGR management
Monthly vaerage rainfall pattern of the major pearl millet growing areas in India
1000
900
Jan
800
Feb
700 Mar
Apr
Rainfall (mm)
600
May
500 Jun
Jul
400 Aug
Sep
300
Oct
200 Nov
Dec
100
Total
0
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Total
Months

26. GIS Application for PGR management
Temperature and rainfall pattern of the major pearl millet growing areas in
India
40.00 300
35.00
Monthly average temperature( 0 C)
Monthly average rainfall (mm)
250
30.00
200
25.00
20.00 150
15.00
100
10.00
50
5.00
0.00 0
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Months
TMIN TMAX Rainfall TMIN TMAX

27. GIS Application for PGR management
Comparison of minimum temperature for pearl
millet cropped area and collecting sites in India
30
25
Temperature ( 0 C)
20
15
10
5
0
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Months
Min. temp.-coll Min.temp-crop

28. GIS Application for PGR management
Diversity
analysis for
days to
flowering
Sites for
re-collecting
High
diversity
areas

29. GIS Application for PGR management
Diversity index for
plant height - Kharif
Can not
have for
more than
High one trait at
diversity one time
areas

30. GIS Application for PGR management
Cowpea collections
from Sri Lanka
Mapping of:
•Roads
•Rivers
•Rail
•Cowpea
collections

31. GIS Application for PGR management
Cowpea
collections in Sri
Lanka
Observation:
Most of the
collections
are from
road side

32. On-farm participatory network for climate change
adaptation and visualization in the Indo-Gangetic Plains
(IGP) – Phase II - Rice

33. On-farm participatory network for climate change
adaptation and visualization in the Indo-Gangetic Plains
(IGP) – Phase II - Rice

43. GIS Application for PGR management
Mapping and
probability
analysis
using
FlraMap
Probability distribution of sites
based on climatic data

44. Mapping and probability
analysis using FloraMap

45. Cluster 5-3 Cluster 5-2
Cluster 5-1
Cluster 6
Cluster 4
Cluster 3
Cluster 2
Cluster 1

46. Cluster 5-3 Cluster 5-2
Cluster 5-1
Cluster 6
Cluster 4
Cluster
3
Cluster
2
Cluster
1

47. Mapping Taro Collection
Mapping PNG taro collections using
FloraMap

48. Taro Diversity Prediction across regions
Similar sites for
taro diversity or
introduction
(based on PNG
taro collections)
Prediction based on

49. Cowpea
collections
Climatic
matching
probability
distribution map
of Sri Lanka

50. Cowpea Observe
change in
growing areas pattern?
prediction
maps after
taking out
information
from highland
cultivation

51. Prediction of
similar
climatic grids
across region

52. Prediction of similar climatic
grids across continents

53. Installation of Maxent

54. Installation of Maxent

55. Installation of Maxent

56. Installation of Google Earth

57. Installation of Google Earth

58. Thank you
For more information:
www.bioversityinternational.org