20220308 15505400 1.0 TRUE TRUE Dashboard_CSIS The Community Subsistence Information System (CSIS) hosted by the Division of Subsistence, Alaska Department of Fish and Game (ADF&G) provides harvest data for over 270 communities. The Division of Subsistence has been collecting harvest data since 1981 for resources harvested by each community including large land mammals, marine mammals and migratory waterfowl. Data are organized by community and year of study with different levels of data available for each rural community. By creating a spatial interface for the CSIS database, managers and stakeholders will be able to more easily compare trends in subsistence harvest not only through time but across the landscape. A mapping interface of the spatial representation of subsistence data in Alaska. Division of Subsistence, Alaska Dept. of Fish and Game Alaska Subsistence Harvest Resources /9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDAREA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+gAo AKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgA oAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACg AoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAC gAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKA CgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAK ACgAoAZJIkSF5HVEHVmOAKL2AVWV1DIwZTyCDkGgDM1rV00azW4eGSUM4XCdvzrCvWVGHM036F06 bnKyZft5hPbRTBWUSIGAYYIyM81sndXIZNTAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgA oAKACgAoAKACgAoAKACgAoAKACgAoAKAGsSFJAyQOB60AZGh6ne6nHObyyNqY32rnPzD8RXPQqTq JucbGlSMYtcruX72zS+tmhdiASDkdiKqvRjXpunPZkJ2dx1pbJZ2yQoSVQYyetVTpqnBQjsgbuUl 0dRrk2pNcSOJI1TyG5VcZ5H51EqPNUVS+wJ6WNWtxBQA05IODg+tAGRolpqlqLj+0rtbje+Y8Ena PxArCjCpG/O79jSpKLtyqxs1uZhQAUAZbxagdXWRZB9kxyufb09c1ytV/bqSa5LarrcrS3maldRI UAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAVb77T9hm+x7ftG0+Xu6ZqJ83K +XcatfUraL/aH9mx/wBpbftOTnHpnjPviooe05F7W3N1sVU5eZ8mw611aC7upreNXDxZyWAwcHHH NRSxNOrUlTjvHclxaVySy1G3vi4hYnZ1yMZHrTo16Va/s3e2jBprcu10CCgBiur52sGwcHBzigB9 ABQBja9ealZ20Tadai4dnwwPYf54rnrzqQinTjd3NKcYyfvOxdkvobeOL7U6xPJjCnnmrnVhC3O7 XIt2LYORkdK1EBIAyTgUAZdne382q31vcWPk2sTAQTbs+aNoJPtySPwrDnqe15be7bfz7D0satbi GB1LFQwLDqM8ii/QB9ABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAUb7VLLTfL+ 1zrF5hwue9ZzqQhbmdrlRhKWyJre8trveLeZJDGdrbTnBq009iLpmZa61Lca9Pp32NhFEP8AXbsg 1hGq3VdPl0XU1cEoKVzVSCKNmdIkVm+8QoBP1rZRSd0jM4/Sk/4rm9EEkkcKqcoVOGI4x14HNcNF JYiag7K21tPW50SVqSbRQWS91bxFqUdrqMr/AGZv9VtI7j7uD1Hv61z4qlia0pOjU1i00unozONa lJcqWq3O5tFnbT41uuJiuGI6/wD669OlzuC59+pD30OPvfB17bytc22uSQx797h84XnOeDya5HhJ QfNGo0r3d9To9vFq0oo7O0uY7m3WSKUSrjG4dyOtdlOpGpFSg7o52rFGw1yHUNSurJIZEe3JBZhw 2Diop14znKC3RcqbjFSfUqNa6rqFncQXL+XlhjqM+oBBziuR08XWpzhKSi76NdhXimgl0K0MFhHe 3svnQDYr+YB5g64Oc5HA/Kt6mGp1IwVXVx29RJvoWdP8QWV7fT2MW9JIOPnGN30rSnXhUlKEd0OV OUUm+pVka71f7TbMht/LbKsAfcYPIz6/jXJJVMUp0pJwSejvuGkbPczNN1TW3v7bzbdLXTELQyfa D8xKsRnPvjI+taUqtT2jg17sdLvroZS5+ZW2NbStQudS1e9mhuYJtLQ+XEE+8HXhs/8AAgavnlKt ywast/U0toXrXSILTU7u/SSZpLogurNlRgY4HatfYx9r7Xrawr6WNKthBQAUAFABQAUAFABQAUAF ABQAUAFABQAUAFABQAUAFACEgDJ4FADRIjLuDKV9c8UroCpf6XZ6kqC7gEojOVySMflUTpwnbmVy oylHZlTSvDlho/2o2QdGuWLMd2cZ9KUKUKd+VbmUYRje3UzLK2fwbpscDPdaiZ7sjexyVDt1Y+2a 55RdBTq3cr9P8jXeyN3Vbu5tNInurO0a5uEQskA6sfSutt8t0SYOmeJLm91WOFdGkRJMiS5AwMjt XDSxNWcFJ02nez/zNJwUeovhTUhfXuqiWO3juEuWQeXGFZlGME9z1q6VZvETpvpa34kcqSujU1nW 49Ka3g8p5J7ksIlVcjIx1/OtcTXVGHNa4JXZjwXniK4sJRqOnRESylVRUb7nGOM5HfvXBKtjHG7p pp20/Mu0e5qhLqwuLa2s7bFs2DITliCTzlia6FCdCUKVCC5OvkTo9Xua6RRq7OqKrN94gYJ+td5J h3Vvcz+Jrd4dTCRRrl7bPJ/CuaSk6ytPRbo0UoqDTWvcztU8NX2r+IVubm722cSkwhcZB7cY9cc1 nUw0qtZSm/dWy8zSFVQhaK1Zzfh83V7carFEge+tzuicgHzOcck89uxqcFUk3OEndp7jrxSUZJWu bFlrmvRauINRjnijCq2HVQH67sYWu85jb1G70HVolivplUQTK672K/MOhHrWNeEJ03Gpt1Gr30Na ytbO1iK2cUUaMSxEYGCTyTTpwglzQW4O5n69ql3a2c0ekwx3GpgDy4ZCdp79u+OauV7abiNS1aV7 aNrhAkpUFlHQGs6Lm4J1FZjdr6FithBQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAQ3ECXN tLA+dkqFGwcHBGKAMaTwxanRoNMinnhhhkEilH5OOx9RXL9Vgqcqa0uPm1ubiJsQLnOBit4R5YqP YQ+rAjllWGJpHOFUZNJu2oHL/wDCWNcrObe1KKmNsjHPUgYIHIPtXmRzF1qc5YeN3Ha+iZfJZq4+ +0nUtZutJ1CLUnsxAd08CMcPx04rpqQqVoJqXKwTS0sSavBaaNdPrcFsHv5VERYuQpABOT+tY46d PDwWImruO3zCKb0JNB8Rwa7azTPbGI2+N+7kZ9q3wuJjiYc6Q6lNwtqa9reRXsTSQ7sKcEMMEHGe n4iuozMm21XVZdVNvJp5W3yf3nlsMc+p4rzqWIxMq7hKnaPctpWvccrarfxzxOn2fa4wfmXIz0z1 /EVvh6lacpKrGyT080S0uhat9KihuEu5HLXCr8zbjgtjBOKawtJVnXt71rXDmdrGXq/jKx0uNl+Y zE7YyynYTkDJPYc1z1MyoRc4p3lHoXGlKWqRmeGdBun12TxDMUiWZWAiR2K4JHQZxjilhISlL6w1 bmW1tS6lROCh2Ot1DUbHTYVlv7iKGNjtBkIGTXfKUYq8mYpN7HnuoHS5tVmtJLcGxml3W8iTFsy4 ByoJwOvavJxWYUVOpQq/Cl031NVBcqktylZX12NQ3WNw723QxQAo/DY+crgbq4auNq8nLRfs4QVu Z7PTQFFddTcsddv4tRDXtl5zKkbCfbjcrYBJI+UYz37V7mDnWlTvWtfy7GcrX0O5tLkXdpHOqlQ4 zg9q6ySxQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQBw3iJL9b64u7zUo4NN gZTDscL5fAzu9ea5aiftLylaK/MuMrLY0bOPTPEmnOlnE1vFFK6ZEe3d1BOPQ1gvq+M9yOqi09Nr 7hrHU5q8gsNJ1W+tRd3TSxqJpSkQ2x7uF2qOpye3SlisNG3O5uKTvp5dBqeiVh1jeaxq0f2GBTJB Ku8szhiB0BJPTnHHXivOw9evXhOlRk5WerktLdimktWbui6JqdtFPbXczBJQdzGTcGJAAwO3Q12Y LB4ihzU3JKFtEt0yZST16jP+ETvrecNaaiUiIH7oMyKD3wF9ePypzwOI5Iwp1mrXu+rEpLqjVzqN k1pboDMuAHfGc89M9gBXQ3iKbpwiuZfab/MWjuzcruJMjxKkD+Hr37TM0MKxl2devHP9Kzqw54OP cqEuWSZ5XcWqXNs0+2M2lrFtEsYw5YjgkdeoHsK8vD3kuetDliu+9+5tOSadt39xo6FNqup6mynV LmBMLGIzdGZY2xwQQSATg1viqsJVIUY1OWT1XmjKK0bsafirR7eK1sv7RvHa4LsI+CygYGc56f8A 165cXSVHDJVpObvp3fkb0JyUm4IzrPwVZTyJPpJt7h1ZZJ1klPmxuODtPYHArpUHPD8tBqMrddbe TM5NuXNM3JbPxQ2mLbtbQPKSDwE6e5PcVnVhjJpU5RjJW1v39Aj7Pmu9joNI0c26wXFwAlwEG6NM bVbGDjFdNLCQhV9u17zVn2IlLotjcrtICgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACg AoAKACgDAn8I6TdR38dxE8sd9J5kqO2Rn29K53Qg6jqPfYd3axDFoE9jqHm6dMiQ7SSJCS27GAPp 3rKnhY0Uo0PdV9RuV9zi/GPhz7BY3Ov6hcBPLkDHe2488fzIrPG4P2icob/mb0ayj7s9jtbDU9P0 3RbBkjC/aEBCxLjPGSaaxtClRjUk7J6bdTFxbdkWNT8SWem+Wu2SVnUNhFPC+tGKzCjhmlN6vp+o owbMCbxxu1i3a1lt5NNdtjc/PnAJPpxkD8656uZxp4n2TXupK7t32KULxuaF/rNzfWNyunwzZUbl aH75Xvj3PUVrUxNWqqlOjFqUdm9n6CUUrNlbwbbaujNPfJIqOGBMgAZueCec59axy2jiIzlUqPSX fe45tbIPHU1zJHbachdYrkNvcKxBIHA4B6nHFes5pSUe5KjdXI/D3huSfRpV1FbmOaVAqtM4LqcH JGOg6cVNehCvDkqK6Em1qi1Z+DbewsZ0gSFLiRwwZcgAdMZ681lXoOpT5YPll0fYE7PU2rPTEj06 3trsi5aLJBfnHP8ATpWtODUEpu7XUL9hbHRrLTp557aMq8xy5Jz78UqdGFNtxVr7lSqSkkm9jTrY gKAMbXdQvdPhhaxszcs8gVgM8D8K569SpBJwjfU0pxjJvmdjWjLNGrMu1iASPQ10GZS1a5ubTT3n tYVllGMKxOB7nAJ/KgDI8O+IbvWLiSO4skiVQSrxvkHBI5BwRyDjIrNSlztNadxnT1oIKACgAoAK ACgAoAKACgAoAKACgAoAKACgAoAinnitomlmcIi9Saic4wi5SdkAQTx3EKyxNuRuhpRlGaUou6YE taAFABQBWu7O2v7dre6hSaFsZRxkHHNJq+gCPY2skUcTwIY4+UXH3aj2cWrW0C5U1DTNNndZrpUR xhVctt/Csa2EoV9asUxqTWxwFtY2Wp+OrzTbaCWyt7fCsqrt8zIBJHX8687E4OnWxcYTj7tvxXmb qSjT8z0q3tobG0WOFDsjXA9TivYjFQiorZHPucjdfESwt5p7SVTDOIiyN95Q2MgEDkGuKhmFOre6 cbd1Yic4wlytljw/4gudSvY45oxJbSrviZkIdOM/NkY/EGtliP3yp23VzS2lzsK6hBQAUAFABQAU AFABQBgeJY9UltEGl7ixJVgrhTz0P06/nXBjoYiUF7B2d9fQqNr6nn0Wp6hpSS6fza3YZRO8IB5B JznPQhgPw6VyvFVaalRqLa1mtd+5rClzu6PSLTXbGaaO2ScM5UfOSME7QcdeuCK9Sl8CV7+Zi9zY rUQUAFABQAUAFABQAUAFABQAUAFABQAUAFAENzbRXcDQzLuRuorOpTjUi4TV0wTsZdjpc1lqDOk3 +i4O1Mk9ccfgcn8a5aOHnSqtqXuWSUbbFOSaNqu4kKACgCIzRBzH5qeZ/c3DP5UXAybTXVeZ47tV tzu2x5P3j6f59a46GJlUclOPLZ2V+pTj2OT8VT3niKVbC2tJ1eD95EYjks2cfNnAA49687EYqviK io0IbPVvT7hSpRlH3mdvpluyWVs9zFGt2IlWRlHOcete3G9lfcRoVQHNHwRokl/d3k1uZXujl1Y8 A5zxjn9ax+r03Jya3M/ZRbbfU34baG3REiiVFRdq4HQelapWNCamAUAFABQAUAFABQAUAFAHLajo It7qS7sbfzZbgnzQ4DBfoOPf1rz8RSqQfPh4pyk1e/Y19o2lGT0RwupJLa3E8Acwkkxu0vBUE7VZ CB6AV4UsVXwFSdKnH3btrr69SuVSV2d34V8QQ6latBNOReJIymKVgXXnuRwa9vLsQ6tCLqSvJ/Iz mrPQ1BqhOrmx8hgB/wAtM98Z6Y6fjXQsSniHQ5Xte/Qm2lzUrqEFABQAUAFABQAUAFABQAUAFABQ AUAFABQA1mCIWY4AGSaTdgMRPEdvNfRW0MbvvIBY8Yz047+tcEcwozqRhT9699VtoVyNK7NC/hnn s2SCTZIe/qO4z2zXVXhOdOUabs3s+wla+pzdt4KKalFqE2pTtKr72QH3zjPWuWlgnGUak5tyW/Z/ I29u+TksrG7qGjWeqT281yhLwHK4OPfB/IV1VKFOo05q9tjONSUE1F7misaKcqoB9QK2IH0AFABQ AUAFABQAUAFABQAUAFABQAUAFAGLrvhux8QQql15iFcfPG2Dj0rmr4WlXtzrYqM3HYpW3gvS7PWY tStPMhZFUNGp4cjoTnml9Upc8ZpW5dhczsdLtG7dgZ9a6hDqACgAoAKACgAoAKACgAoAKAIo5o5Q xjZX2kqcHOCO1JSTdkBVvNTgspY4pt+6TptXOBnGTXPWxVOjKMZuzk7Iai3sXgcjIrpELQBm6ob8 LF9h67vn6Z/Xt1rlxPt+Vewte+t+w1bqXlBaICUAkr8w7Z711CIbaxt7RSIIlTJznqfzrKnThTVo JJeQ277lqtRBQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQ AUAIRkYNAGdpej2mjwyRWaFUkleUgsT8zEk/qaxhRhGcpreW47lqa0t7h0eaGORozlCyglT7VcoR lZtbCLFWAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFA BQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAF ABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUA FABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAU AFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQA UAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQ AUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFAB QAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFA BQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAF ABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUA FABQAUAFABQAUAFABQAUAFABQB//2Q==