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Results from an RBI and risk analysis for terrestrial habitats in Jamaica. This type of quartile analysis can be combined with Marxanoutput to guide prioritization of conservation areas. Areas are ranked from highest to lowest priority. High risk/high RBI areas may bemore expensive to acquire but these habitats may be irreversibly lost if immediate action is not taken.TNC Protected Area Tools (PAT) Version 3.0The Nature Conservancy, August 200934
EXERCISE 2. Calculating the Relative Biodiversity Index (RBI)REMEMBER• All layers used in the analysis must be in the same projection andhave the projection information defined. Do not use Geographicprojection (e.g. decimal degrees) since unit areas or lengths will becalculated incorrectly.• The RBI Module does NOT require an ArcGIS ArcInfo Level.• The Universe Domain is the total study area or landscape (i.e. largewatershed, political boundary)• The Query Domain is the analysis unit or planning unit layer (i.e.hexagons or sub-catchment watersheds) and must have an ID fieldwith a unique number assigned to each unit. A hexagon layer can begenerated using “HexGen” in the Marxan Tools.• The word “Target” refers to a conservation habitat or species and canbe represented as a point, line, or polygon. When using your own data,make sure any entry in the target name field does not contain anyspecial characters (e.g. ñ, ó, œ) or the program may fail.• The target layer must have a unique name or ID field that representseach unique target class or type (e.g. forest type, stream type, species).2.1 Running the RBI ModuleThe RBI tool requires three input data layersto operate on. The first layer is the targetlayer, or the layer that represents theconservation targets. These can be points,lines, or polygons. The second requiredlayer is the universe domain, a polygonfeature that represents the total analysisextent to be considered. This could be acountry boundary or a watershed. The finallayer needed is the query domain, also apolygon feature that represents the analysisor planning unit layer and the basic unit thatreceives the RBI calculation. This could behexagons, or other polygon features such aswatersheds.Prior to clicking on the RBI button, make sure you have the input files that will be used,loading into the view. For this exercise, this includes the target shapefiles(target_point_species.shp, target_line_habitats.shp, and target_polygon_habitats.shp);the Tydixton Park watershed boundary (tydixton_watershed.shp); and the analysis unithexagons (tydixton_planning_units.shp). Remember that the analysis extent is alsoTNC Protected Area Tools (PAT) Version 3.0The Nature Conservancy, August 200935
Page 1 and 2: Protected Area Tools (PAT)TMfor Arc
Page 3 and 4: AcknowledgementsThe idea for the de
Page 5 and 6: Mandatory Requirements Needed to Ru
Page 7 and 8: Installing the Protected Area Tools
Page 9 and 10: The majority of the work that goes
Page 11 and 12: data to spatially represent the spe
Page 13 and 14: 2003, Araújo et al. 2002). In some
Page 15 and 16: 1.1 Setting up the ERS TableSuccess
Page 17 and 18: 1.1.1 Overlay FunctionAnother item
Page 19 and 20: features have been added to the map
Page 21 and 22: the output will automatically defau
Page 23 and 24: Once you click OK in the previous m
Page 25 and 26: unit or feature (i.e. polygon) must
Page 27 and 28: higher elevations and ridges moving
Page 29 and 30: 1.3.4.2 Marine ERS ModelsDeveloping
Page 31 and 32: MODULE 2. Relative Biodiversity Ind
Page 33: Normalized relative biodiversity in
Page 37 and 38: the targets (polygons with lots of
Page 39 and 40: Once this step is performed, you ca
Page 41 and 42: This selection routine will choose
Page 43 and 44: 3.0 The MARXAN AlgorithmOne of the
Page 45 and 46: 6. All input features must have the
Page 47 and 48: grid of squares or lattice of hexag
Page 49 and 50: • To make "area" and "length" com
Page 51 and 52: Sug gested steps for preparing inpu
Page 53 and 54: 2. Planning Unit File (pu.dat)This
Page 55 and 56: ‘id2’ are set but no value for
Page 57 and 58: conservation target files are alrea
Page 59 and 60: An example of what an attribute tab
Page 61 and 62: values. These values will be used i
Page 63 and 64: Occurrence (OCC), Minimum Clump (CL
Page 65 and 66: 3.2.4 Combining Marxan Input FilesI
Page 67 and 68: 2. Click onto the Run Options tab p
Page 69 and 70: This is the folder where the output
Page 71 and 72: 3.4 Joining and Displaying Marxan O
Page 73 and 74: Figure 12. Results of joining the t
Page 75: McPherson, M, S. Schill, G. Raber,

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