Using Climatic data in Diva GIS

1. UsingClimatic data in Diva GIS Franck Theeten, Royal Museum for central Africa Cabin training 2013

2. Source data • 1. Go on the ‘downloads’ part of the DIVA GIS website (http://www.diva-gis.org ) • 2. Select « Free Spatial data -> Global Climat data» • 3. 3 versions of the Worldclimdatasets (Museum of vertebratezoology, University of Berkeley) are actuallyavailablethey do no cover the oceans • 3.1: a direct link to the Worldclimwebsite (http://www.worldclim.org) • 3.2: The current climat data (1950-2000) produced in 2004 • 3.3: a predictive model produced in 2003 by B. Govindsamy, P. B. Duffy, J. Coquard), correspondingto the CCM 3 model of the American National Center for AthmosphericResearch (NCAR)

3. Source data • For thisexercise, download and unzip • 3.2: The current climat data (1950-2000) produced in 2004

4. Data preparation • The climatic model must beused in combinationwith distribution data • Open a background layer with the world boundaries

5. Importation of delimitedtext distribution data • Open the ‘calipidae_exo_divagis_wgs84.csv’ file and import itintoDivaGIS 1->Data 2->Import point to Shapefile 3->’Fromtextfile (TXT)’ 4-> register the source file in ‘Input File’ 5-> Choose the appropriatedelimiter (here ‘tab’) 6-> Check that the X (latitude) and Y (longitude) columns correspond to the column and contain values fitting the samereference system as the project (here: decimaldegrees) 7-> a new shapefilewillbecreatedat the location defined in ‘Output File’ (by default, Diva GIS set it to the samefolder as the original input file)

6. Importation of delimitedtext distribution data

7. Importation of delimitedtext distribution data

8. Selection of the relevant points • 1: The calapiddaeshapefilescontaincoordinates in the wrongformat thatappearoutside of the world boundaries and disturb the processing of data (thisisactually a data quality issue) • 2: Wewillexcludethese data by creating a shapfiletakingonly the points withinbetween longitude -180 and 180 and latitude -90 and latitude 90

9. Selection of the relevant points • Ensurethat the layer with the distribution data is the active one • Go on « Layer -> Select Features» • Select the world boundaries by dragging the mouse on the screen to draw a bounding box (the points shouldbehighlighted in yellow)

10. Selection of the relevant points • Go on « Data-> Selection to new shapefile » to create a shapefilecontainingonly the slected points (the shapefileshouldappear in the project)

11. Importation of the climaticdatabase • 1: Go to the « tools » tab • 2: click on « Options » • 3: Select «the Climate » tab in the formthatappears

12. Importation of the Climaticdatabase • In the Folderwindows, give the location of the root of the directory containing the clumat files • Define an explicit namein the windowssituatedleft of the « Make default » button • Click « Make Default » • Click « Apply »

13. Importation of the climaticdatabase

14. Getclimatic information bound to a specific location • Enable the button • Clic on a location in the map

15. Getclimatic information bound to a specific location • Enable the button • Clic on a location in the map

16. Getclimatic information bound to a specific location • NB: the resolution of the gridlinked to thesestatisticsisavailable in « Tools->Options->Cell size»

17. Applying a colorscheme to the climatic data • 1) Click on « Data -> Climate->Map»

18. Applying a colorscheme to the climatic data • 2) Select the criteriayouwant to map in the « Output » drop down menu • 5 available • minimum temperature • meantemperature • maximum temperature • Altitude • precipitation • ‘bioclim’ (combination of 19 variables) • 3) Give the location of the output shapefile in « File »

19. Applying a colorscheme to the climatic data

20. Viewingclimatic data • Select the distribution layer as active (calappidae_exo_divagis_wgs84only) • Go on ‘Modeling’ • Go on ‘BioClim/Domain’

21. Viewingclimatic data • Severalwindows are available, linked to the 19 BioCLIM variables • BIO1 = Annual Mean Temperature • BIO2 = Mean Diurnal Range (Mean of monthly (max temp - min temp)) • BIO3 = Isothermality (BIO2/BIO7) (* 100) • BIO4 = Temperature Seasonality (standard deviation *100) • BIO5 = Max Temperature of Warmest Month • BIO6 = Min Temperature of Coldest Month • BIO7 = Temperature Annual Range (BIO5-BIO6) • BIO8 = Mean Temperature of Wettest Quarter • BIO9 = Mean Temperature of Driest Quarter • BIO10 = Mean Temperature of Warmest Quarter • BIO11 = Mean Temperature of Coldest Quarter • BIO12 = Annual Precipitation • BIO13 = Precipitation of Wettest Month • BIO14 = Precipitation of Driest Month • BIO15 = Precipitation Seasonality (Coefficient of Variation) • BIO16 = Precipitation of Wettest Quarter • BIO17 = Precipitation of Driest Quarter • BIO18 = Precipitation of Warmest Quarter • BIO19 = Precipitation of Coldest Quarter

22. Viewingclimatic data • Visualisation windows • Frequency (synchronizedwith the map) • Outliers data (global view on the 19 variables + highligthing of outliers) • Histograms • Enveloppe (combination of 2 variables, containedwithin a certain percentile, tje points within the envoeloppe are highlighted in yellow) • Predict

23. Frequency • The mapis interactive (clicking on a point highlight on the map)

24. Outliers • The horizontal axe corresponds to the 19 BioCLIM variables

25. Envelope • This calculation use 2 variables and a percentile (applied on the 2 variables and thencombined) to define an envelope. Points within the envelopeappearyellow on the map (rememberthat marine observation do not fit BioCASe)