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Based on the model results, we see that almost all the RBN scores for this planning unitwere calculated above 1. This indicates there is a high abundance of unique targetocc urrences/areas contained within this planning unit compared to the same target(s)occurring in the rest of the Tydixton Park watershed. Remember that these scores arerelative and their range of values can vary widely depending on the input data that isused. The highest two scores were for two rare bat species where there are very fewoccurrences throughout the watershed. Similarly, you will notice that Dry Alluvial Forestis a very rare habitat type and it occurs only in small amounts within the watershed ( totalof 38.8 hectares). If you look at planning unit 65, you will notice that a large majority ofwhat does exist for this habitat is located in that unit (approximately 28.79 hectares). Thiswas the highest individual RBN score in the entire watershed (73.87). Similarconclusions can be made for planning unit 65 where Wet_Alluvial_Forest andSmall_Rivers_Non_Karstic also scored relatively high RBN values (34.06 and 21.64,respectively). Please note that if you are only using point feature class targets, your RBIscores will be significantly lower, given the fact that there is no area to calculate forpoints.You can choose to symbolize the RBI values for a single Target using the“ your_output_name_RBI_ALL_TARGETS” feature class. To do this, go to the layer’sproperties dialog and select the “Definition Query” tab. Then use the query builder tocreate a query that will only display the information for the target you are interested in.See the example below.TNC Protected Area Tools (PAT) Version 3.0The Nature Conservancy, August 200938