20160715 15151300 1.0 FGDC CSDGM Metadata TRUE The shapefile contains spatial data for sites surveyed between 2013 and 2015 as part of the tidal bass survey. At each site, the composition of the fish community was recorded by its presence. The composition of fishes was evaluated for the importance of species in the diet of largemouth bass. Published resources and gut contents work conducted for largemouth bass were used to help identify species that are important in the diets of largemouth bass. In some cases, species were aggregated to the level of genus because of redundancy in morphology and because accurate species identification for some species were occassionally difficult. Based upon occurrence of species, important species in diets of bass, and aggregation of some species to genus, the following 11 taxonomic groups were considered as fish forage for largemouth bass: Lepomis, Dorosoma, Notemogonus, Crassius, NOtropis, Fundulus, Amerius, Morone, Etheostoma, Perca, and Media. A reference community was one that contained representatives of each of those taxonomic groups. The composition of all sampled fish communities was compared to the reference community using a Jaccard's Index of Similaritiy. Higher values indicate greater similarity, with a value of 1.0 representing a site with a species composition that was exactly the same as the reference community. The Jaccard's Index was considered the Fish Forage Index, reflecting variation in the richness of fish forage species among sites. Fish forage index bass survey The shapefile contains spatial data for sites surveyed between 2013 and 2015 as part of the tidal bass survey Joe Love, Maryland DNR Fisheries /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAKKKKACiiigAooooAKKKKACiisvxDqp0XRJ7xUDyArHGGOF3swVSx7DJGf0ycCgCVNb0qR rkLqVoTbHE/75f3Rzj5ueOePqCKyvDfjSw8TXdxb2tvcxNEC6mZQA6Zxngkjn17fiBwOm+CrjxFp V7PaPaxnckQ+1xhy8iEs7b16A5XBweh4AxXaeBfC1/4ctZP7SuYbicxRwI0akbVTPc9ck59emeaU r3Vhxs0779DrqKKKYgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAprsVjZlUuw BIUHGT6c06qupQT3Ol3dvazeRcSwukUoONjlSA34HBoBHnXgv4qzaxeCx8Q2UVlczlfs/wBnyQu5 iu2QE5U54z356Y59MlijniaKWNZI2GGRxkEe4rjPD/g+/SLTxr9xBIum4+xw22cdc5kYjLHhfTpz nNdtUU3Jr3jWsoKVoEcFvBawrDbwxwxL0SNQqj8BUlFFWZBRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUEgDJOAKAMGXxbp0XiddBKXBuCBumCDykYjIQnOdxHYA9R W9Xmngm9vdd1+OTUntLmCCKa7tWhOSpkkBBbpzgnHGPxFel1MJcyuVKLi7MKKKKokKKKKACiiigA ooooAKKKKACiiigAooooApavf/2Zo93fbVYwRM4DHAJA4yewrN8Ka9Nr1jcyTpCJIJzEWgJMbDap yDzzyQR149xXJ/ELxzbpbXnh+yjd5pWS3lnVwojLOAwAI+YgdenXvVv4ZX32pdSHmwSDEUn+jf6u MkMNh5PzDbz+FNwktQUo7dT0CuA1DxdqK+M4NPt38qNb6O0eBwmyRTgsxJG4NtOQAcHjrya7+ub1 jwdYarrLam8Fq08lsbZ2lgDEc8Op6hh0z9ORjmJJ20GnY6SiiiqEFFFFABWF4wttVvfDdza6QN1x NhHUMoYxnhgC3GcevvyDzW7RQBxPw+8FzeGILi5vXU3c4CLGhG2KIYwvHfPXk9BzXbVzviPxdZ6B NHbM8LXLL5rpJIUWOMZ+ZmwQMkYGfc84xW3ZXK3tjb3aKVWeJZAGGCAwzz+dDnzSd9x8nLFNbE9F FFAgooooAKKKKACiiigAooooAKKKKACuX8V+Lv7CMFnYRQ3epTtgQvLtES4+8+MkDJUD1z+B6O6u EtLSa5k3eXDG0jbRk4AycCvLdO8KWHjK+Gpait3ZyLCH1CMyLieR1OSpU5VBtPUDOBwOcpt3SKjy 63HeCbPVtY8Trq0t7bC2tmeaeOEA7Z5dxaMegGTnOTgjvyPVapaRaadY6Vb22krEtjGuIhE25cfX Jz9au01e2ona+isFFFFAgooooAKKKKACiiigDy7XpEXxbOL3RZbqQSF7hbdX33FmFIBOPlZVJHuS Cvc59OieOSFJImVo2UFSvQg9MVla/o8uqQwtazCC5iY/MSV8yMghoyy8gH5Tx3UVe060Njp8NsWB Ma4O3OB7DOTgdB7VEVJNroU2nayLVFFFWSFFFFABRRRQAUUUUAFFFFABRRRQAEAjBGQa4vxB4Tlj 0uKy8PWUH2aWX/TLaSZlEybSACxz8oz93p0GK7SihBYwfCWgy+HdHa0mmjkd5TLtiXakeQBtGeT0 ySepJNb1FFCVht31YUUUUCCiiigAooooAKKKKACq1/f2ul2Mt5ezpBbxDLO5wPp9T0A71ZrD8U+G ofFGmRWc1xJB5UwmV0GeQrLgjuMMfxwe1AD/AA54lsvE1nLc2cc8Qik8t451AYHAIOATwQa2ay/D +gWfhzS1sbIOw3b5JZCC8r4ALNgAZwAOB0AFalN2voJXtqFFFFIYUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXI+I/H1hod2tnBGt5dZIkUShETGcqWwRuwCdo5AGT jjNTxh4hvI5P7NsZQXkn8iS3tPmu9pjLbgM8AnAz2yOQTwnhX4fW2nbL3U033Hmi4jtS26OCTBG7 PV25PJJHTqQGrLnbdomsYRUeab9Edtby+fbRTbGTzEDbWGCMjOD71JRRWpkFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAm0bt2BnGM0tFFABRRRQAUUUUAFFFFAH//Z