Download the Tutorial

More documents

Recommendations

Info

We are now ready to add the statistical surface summaries of the Environmental RiskModel (ERS) and begin to identify planning units that have high RBN values (above themean) and low risk values (below the mean). These planning units could be candidatesites for high conservation value that are in relatively low-risk environments, accordingto our modeled ERS surface. If you have not already run Zonal Statistics using a modeledERS surface, follow the instructions in the first module, using theyour_output_name_RBI_SUMMARY output shapefile as the Zone dataset and join theoutput statistics table back to theyour_output_name_RBI_SUMMARYoutput shapefile.Now determine what the mean valuesare for both the ERS surface and the RBIoutput shapefile. This can be done bydouble clicking on each layer and goingto Symbology > “Classify” or“Histogram” option. In either option themean for the dataset will be reported.For the ERS surface, the mean is 12.55and for the your_output_name_RBI_SUMMARY output, the mean is 1.056.Now we will use these numbers tothreshold out high RBI pockets that havelow risk value.Go to Selection > Select by Attributes inthe main ArcGIS toolbar. When thedialog box appears, enter the followingformula:" your_output_name_RBI_SUMMARY.RBNT1" > 1.056 AND "ers_stats.MEAN" < 12.55TNC Protected Area Tools (PAT) Version 3.0The Nature Conservancy, August 200940
This selection routine will choose the planning units (highlighted in light blue) that areabove the mean RBI value and below the mean risk value, indicating high conservationvalue with low risk based on model inputs as shown in the figure below. This approach isan example of providing insight into potential conservation areas and setting priority sitesbased on target-specific strategies for maximum return on conservation investment.Similar analysis can be conducted using Marxan irreplaceability (number) values.An example of selecting planning units (highlighted in light blue) that are above the mean RBI value (>1.056) and below the mean risk value (< 12.55). Theseplanning units indicate areas of high conservationvalue within low risk areas, based on model inputs.TNC Protected Area Tools (PAT) Version 3.0The Nature Conservancy, August 200941
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 and 34: Normalized relative biodiversity in
Page 35 and 36: EXERCISE 2. Calculating the Relativ
Page 37 and 38: the targets (polygons with lots of
Page 39: Once this step is performed, you ca
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,

Download the Tutorial

Create successful ePaper yourself

Delete template?

Save as template?