StreamNet Project20120112000000v 8.0vector digital dataStreamNet Spatial Data derived from tabular databasePortland, ORStreamNet, Pacific States Marine Fisheries Commissionftp://ftp.streamnet.org/pub/streamnet/gisdata/map_data_biological/StreamNet_FishDist_July2010.zipftp://ftp.streamnet.org/pub/streamnet/gisdata/map_data_biological/StreamNet_FishDist_July2010.zipThis dataset is a record of fish distribution and activity for ALL SPECIES contained in the StreamNet database. This feature class was created based on linear event data extracted from the StreamNet database on January 12, 2012. Distribution is based upon the best professional judgement of local fish biologists, in the Pacific Northwest Region (Oregon, Washington, Idaho and Montana). These data were collected by biologists at the state fish & wildlife agencies of Washington (WDFW), Oregon (ODFW), Idaho (IDFG) and Montana (MFWP). Data were then compiled by StreamNet staff into paper maps or event tables at the state level. These event tables were submitted to the StreamNet regional staff at Pacific States Marine Fisheries Commision (PSMFC) where this regional distribution feature class was created from the source route event tables. All data is referenced to StreamNet's Best Available Mixed-Scale Routed Hydrography as of January 2012 (MSHv3) on the LLID-based stream routing system.These data are intended for use in a variety of applications where fish distribution and activity is important. Note that the StreamNet database contains distribution information for numerous species. Within the source database, overlap does not exist for a particular species/run/subrun combination. See information under the spatial process log for specific information regarding the query that was used to construct this particular feature class.20120112publication dateCompleteAnnually-125.478373-109.50302149.63919241.537519Nonegeneralized fish distributionresident fish distributionspecies distributionsalmonanadromous fish distributionISO 19115 Topic CategoriesinlandWatersbiotaenvironmentNoneIDColumbia River BasinMTOregonWAORWashingtonMontanaPacific NorthwestIdahoNoneData are collected at various scales by StreamNet's partners. Only streams that are included in StreamNet's Mixed-Scale Hydrography LLID-based routing system make it into this feature class. Smaller tributaries that are not included in this routing system are not included in this layer - however, every effort is made to add streams to the route system to provide coverage where fish data is available. This dataset represents believed instances of fish distribution or habitat that likely supports fish distribution, and as every stream has not been fully evaluated, this is not an all-inclusive list of fish distribution in this region. Each line included in this feature class represents a stream segment of suitable habitat currently believed to be utilized by wild, natural, and/or hatchery fish populations and/or streams where sightings of wild, natural, and/or hatchery fish have been documented..Pacific States Marine Fisheries CommissionStreamNet Regional GIS SpecialistStreamNet Regional GIS Specialistmailing and physical

205 SE Spokane Street, Suite 100

PortlandOR97202US(503) 595-3100(503) 595-3232StreamNetGIS@psmfc.org9:00 AM to 5:00 PMhttp://map.streamnet.org/sn_logo.jpgStreamNet LogoJPEGData was compiled by the StreamNet project (<http://www.streamnet.org>), which is administered by the Pacific States Marine Fisheries Commission. Data was provided by Washington Dept. of Fish and Wildlife, Oregon Dept. of Fish and Wildlife, Idaho Dept. of Fish and Game and Montana Fish Wildlife and Parks.Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; ESRI ArcGIS 10.0.3.3600StreamNet20100515tabular digital dataPortland, ORStreamNet, Pacific States Marine Fisheries CommissionThis is a tabular data set of the events that were used to create this coverage.http://www.StreamNet.orgStreamNet20100515v2vector digital dataThis is the base hydrography used to map these events.http://www.streamnet.orgVerified that all submitted events are mapped onto this coverage by comparing a list of individual mapped events in this derivative coverage to events in the submitted event tables (used the StockID field as the unique event identifier.). Data have been verified with source maps and is considered to be accurate for general mapping and analysis but may not be precise in places. Generally, fish distribution extents may be considered accurate within approximately 500 feet.logically consistent (arcs connect to nodes, etc.)complete data setOregon Department of Fish and Wildlife, Idaho Department of Fish and Game, Washington Department of Fish and Wildlife, Montana Fish Wildlife and Parks20120201TablePortland, ORStreamNet, Pacific States Marine Fisheries CommisssionThe latest Generalized Fish Distribution data is available through StreamNet's On-line Query System at http://www.streamnet.org/ Alternately, the StreamNet database tables can be downloaded in its entirety as a Microsoft ACCESS database from http://www.streamnet.org/http://www.streamnet.org0onLine2001010120120112publication dateGeneralized Fish DistributionSpatial and attribute informationData submitted to StreamNet as tabular records (events) with LLIDs, Fmeas (Begft), and Tmeas (Endft) attributes to identify locations on streams. These data events were referenced to StreamNet's best available Mixed Scale Routed Hydrography (MSHv3) and a feature class was created based on these events. Each line segment in this feature class represents a fish distribution event record.ftp://ftp.streamnet.org/pub/streamnet/gisdata/map_data_biological/StreamNet_FishDist_July2010.zip20120112Pacific States Marine Fisheries CommissionStreamNet Regional GIS SpecialistStreamNet Regional GIS SpecialistLinear Referencing - Route event table tied to LLID Routed Hydrography (see abstract)VectorString56308NAD 1983 Lambert Conformal Conic42.3333333333333448.66666666666666-117.041.02999999.9999880.0coordinate pair0.000000026492763538499280.00000002649276353849928Foot_USD North American 1983GRS 19806378137.0298.257222101FishD_AllSpecies_January2012Generalized Fish DistributionStreamNet Data Exchange Format - Generalized Fish Distribution Table OBJECTIDInternal feature number.ESRISequential unique whole numbers that are automatically generated.LOCATIONIDUnique Location identifier relating to a whole stream route - Code is dereferenced by related attribute: STREAMNAMEStreamNetRecordIDBEGFTBeginning stream measurement of distribution event in feet (note: this attribute in combination with 'LocationID' and 'EndFt' is used to georeference the route event)StreamNetENDFTEnding stream measurement of distribution event in feet (note: this attribute in combination with 'LocationID' and 'BegFt' is used to georeference the route event)StreamNetSTREAMNAMEName of stream coded by: LOCATIONIDStreamNetStreamAndTribNamesQualified Stream Name including name of stream the feature is a tributary toStreamNetSPECIEIDCode for the species in the indicated reach - dereferenced by related attribute: SPECIESStreamNetSPECIESCommon name of species in the indicated reach as coded by: SPECIEIDStreamNetSCINAMEScientific name of species in the indicated reach as coded by: SPECIEIDStreamNetRUNIDCode identifying the fish run in the indicated reach as coded by: RUNStreamNetRUNRun of species in the indicated reach coded by: RUNIDStreamNetSUBRUNIDCode for the fish subrun of the species/run in the indicated reachStreamNetSUBRUNsubrun of the species in the indicated reach as coded by: SUBRUNIDStreamNetLifeHistoryIDCode for the life history strategy(s) of the species in the reach.StreamNetLifeHistoryTypeUSETYPEIDCode describing how fish use the indicated stream segment.StreamNetUSETYPEDescription of how fish use the indicated stream segment as coded by: USETYPEIDStreamNetREFIDCode indentifying reference of data in the StreamNet reference library.StreamNetCOMPAGYThe agency that compiled the record and is responsible for updates. StreamNetCITATIONCitation for source reference stored in the StreamNet Library as coded by: REFIDStreamNetURLHyperlink address into StreamNet's Web Query System for all data tied to the stream featureStreamNetBASISIDCode identifying the basis for the information contained in the recordStreamNetBASISDescription of the basis for the information contained in the record as coded by: BASISIDStreamNetUPDDATEThe date and time that the underlying event record was created or updated. For data obrained in electronic format from another source it can reflect the date and time of data capture or of conversion to StreamNet format.StreamNetSHAPEFeature geometry.ESRICoordinates defining the features.EndExtentIDShape_LengthLength of feature in internal units.ESRIPositive real numbers that are automatically generated.Pacific States Marine Fisheries CommissionStreamNet Regional GIS SpecialistStreamNet Regional GIS Specialistmailing and physical

205 SE Spokane Street, Suite 100

PortlandOR97202(503) 595-3100(503) 595-3232StreamNetGIS@psmfc.org9:00 AM - 5:00 PMThis product was prepared as a cooperative effort of the U.S. Government, state governments, the region's tribes and tribal fish organizations, and the Pacific States Marine Fisheries Commission. None of these organizations, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe on privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the participating organizations. The views and opinions of authors expressed herein do not necessarily reflect those of the participating agencies.shape file, file-based geodatabase, or linear event table formatsESRI v9.3.1winzip1.895http://www.streamnet.org/none2012012520090626Pacific States Marine Fisheries CommissionStreamNet Regional GIS SpecialistStreamNet Regional GIS Specialistmailing and physical

205 SE Spokane Street, Suite 100

PortlandOR97202(503) 595-3100(503) 595-3232StreamNetGIS@psmfc.org9:00 AM - 5:00 PMFGDC Content Standard for Digital Geospatial MetadataFGDC-STD-001-1998local timeThese data are intended for use in a variety of applications where fish distribution and activity is important. Note that the StreamNet database contains distribution information for numerous species. Within the source database, overlap does not exist for a particular species/run/subrun combination. See information under the spatial process log for specific information regarding the query that was used to construct this particular feature class.<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset is a record of fish distribution and activity for ALL SPECIES contained in the StreamNet database. This feature class was created based on linear event data extracted from the StreamNet database on January 12, 2012. Distribution is based upon the best professional judgement of local fish biologists, in the Pacific Northwest Region (Oregon, Washington, Idaho and Montana). These data were collected by biologists at the state fish &amp; wildlife agencies of Washington (WDFW), Oregon (ODFW), Idaho (IDFG) and Montana (MFWP). Data were then compiled by StreamNet staff into paper maps or event tables at the state level. These event tables were submitted to the StreamNet regional staff at Pacific States Marine Fisheries Commision (PSMFC) where this regional distribution feature class was created from the source route event tables. All data is referenced to StreamNet's Best Available Mixed-Scale Routed Hydrography as of January 2012 (MSHv3) on the LLID-based stream routing system.</SPAN></P></DIV></DIV></DIV>Data was compiled by the StreamNet project (<http://www.streamnet.org>), which is administered by the Pacific States Marine Fisheries Commission. Data was provided by Washington Dept. of Fish and Wildlife, Oregon Dept. of Fish and Wildlife, Idaho Dept. of Fish and Game and Montana Fish Wildlife and Parks.StreamNet Generalized Fish Distribution, All Species Combined (January 2012)generalized fish distributionresident fish distributionspecies distributionsalmonanadromous fish distributioninlandWatersbiotaenvironmentData are collected at various scales by StreamNet's partners. Only streams that are included in StreamNet's Mixed-Scale Hydrography LLID-based routing system make it into this feature class. Smaller tributaries that are not included in this routing system are not included in this layer - however, every effort is made to add streams to the route system to provide coverage where fish data is available. This dataset represents believed instances of fish distribution or habitat that likely supports fish distribution, and as every stream has not been fully evaluated, this is not an all-inclusive list of fish distribution in this region. Each line included in this feature class represents a stream segment of suitable habitat currently believed to be utilized by wild, natural, and/or hatchery fish populations and/or streams where sightings of wild, natural, and/or hatchery fish have been documented..2012012516500400FGDC1.0/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCACFAMgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9U6KK KACiijNACdRQAKAOKwPFXijT/BPhu/1zWblrTS7CJri5mETylEX/AGFDM3/AaIpylZAbrcUnX0Ne R+B/2pPhb8R7u4h8PeMbO9FpGks8siSwRRb3ZEVpZEVN7Mj/ACbt3y/drv77xVpFi8yzajb25iV3 leRwioiqjMzN0Vdskfzf7a1pUw1anLlqRlFk80ToRRVe3niu4FmhkWaKRdyurblYVYzWexQUUZpM 4oAzb7U7XS7Vrm5kWGFfvM3T0C/X/ZqDQPENr4ihmltBdIIm8p1u7SW1ZW2q33JEVujCq8/he0ut ffVbtVvJ0WOO2SZVZbYKd25M/wATN1b/AGU/u1h3nizTtH8aWjLqNtNb6iP7OlKTp/o08ayyoG9A y+f/AMCRP71bRp8y91akneE8UpGRXn+iX8uq+Mb3VLfUzd6LGktmZRcbbfz96fu4osbW2bZN0u7d vdk/g2p29xdRWcLSzSrFEi7md22qoqJU2tCi1SFaxj4k0vzI4/7UtN8mzYvnp828/J3/AIu36Vsh qlwlDcBaKKM4pAFFFFABRRRQAUUUUAFFFFADD0Irlrbx1os/ia58OpqUQ1yDO6yfKM3yo52bvv7V li3bd23eucV1JOATX5q/tW+E/F/hb9qK+vYLoWPhjxZcWbRXE9zK3lT+VbwCWKISptkRoN3ybX+5 8+1ttexlOXwzKvKhKfL7rMqkuXU/SxTkViarapqtvd2d5Dv0x4GSdZFz5qsO21vr/DmvDPC3irxO PD9g8Hi+4mkjup9O+3XWmLdWU77ZWhKxfJcysNiqyrO/8XzNu81dT4V/GzW7seHtK8bW0L69rMt1 surC1axtIlg3K37qd/PX59i/Mu75/mVNrVg8DVpOTX2S+Y+Y7FtI8L/EDxNoXgXwxcy2Phu7k064 sLb/AEhLyKf9/E915reUyJ9llSKJ2TckqeUyNt3eweIPibf+NIrrQLZEj1jVYUt54/EmlPbQ6ZO7 SfYrZYp1VdzPt+ctKrONq7t0S14X+01p1p4E+PdrpOi3GpXWjeMEi1HVdNmvl0zSnulaV3lnfavz b7eJ9u7+N9u1mTd9EeHfhv4k07x7qqaNqt3pF2r2mp3h1q9+3y3iuzRfvNsqs6RJaxIv+qba252d lKt9tjFSVOliZ/ajzR5u+i97r8V/wOSP8p0eqal4j+Gng/wtbTabaWel2ZgvNWu7Bls49Oii27ov KLtuT7qsyyyt8z/L9xa7nwv4ot4vhzdeIJ9Sk15Utm1CRneJ3SMxLLFGwiXaD5TRN93+Ld/FVe/u fCnxn0m/0P7Zb3F9bTMDF5u2VZI1icuu1t3lvFcQbmRvmiulXd89cHbWLaBoOm/DrVtMvZ4W1Bpt U/siNmiuYp3nlgVG83zYomli8ra33Vi2O+z5m+RtCtTtONpc2v8Ah/r9DqPbvB+k/wDCPeEdD0th tNlZQWu0f7CKtct8QjrB1nwmNDeKC4ur5rO4uZWXzYbZomeR4VZdvmL5S43ccH5W3VL4f8R2eiSN bXMOraZBPFPfpNrNy0u6KPyt7/O7PEP3qfI23o3yrVq71JdT+IOn6faiYS6dDLNeT+Q3lqrqu2Dd 93czbZf4uIP9quCMXGfM/Mo+Cv8AgqClx4MsPhv4Y06ZNO8PXv8AaV1Kyt5txPcqsShm3fN919m7 f0lbK7U218y+GLyy0/wW18ljqFtqVrcyxWdzpkbum+WK3RHZFlSVlV7jZE3719jorp+6r9G/2v8A 9krUP2ivEHhDWYvFNr4es/DAuJQ01q7vEzlWaXcrru/1Ufyt/c+98zV+fdr4ctrTTryy1q8srrwh eskWn+I9KjleKWJUT7RFbqHiaBXf7Vv/AHW5meWL+Nmr9p4cxuGrZZTw8X78fi/7ek/v0PMrxlzH Q69f/afG+t6RfanrdzardNceUmnW6Inm+UybV8pN+5Ps6tv2t+6T/Wq61r+MItI0v4ZaevmWV3rU 72rXNppKt9oi81Gi/e7n+ZfK/dI6bvvRNFu37awPF3hLTL7wzp1lpUzaXFa/bNNiFzcrEnlXP2hL ffuXe294mZvuL87qyu/mq2h4XvofFn2vTLy2Nva3Hkfabiy+2I8u+1XfLtnZ4pd863DIny7W/j3u q17DpwtGUV8PoQcp4ce98JeM2+Iuk3d3NB8r6hDYztvi+dJYomSVfvPKrOqO7f6rzYnZYvNr9Qf2 ZPi9c/FHwpfR6zqllqHiTTdQura8htl2+UqzNtQfKqtsGE3L/dG75s18aeGfhHaXPi7wnpP2FdW8 Kpp/22+sl89op0nSVP3D+V8sq/bbV2R9rt9l+fdsRm8O8P694t+GPxlt9U0xrm01dUgaBNRZ7jzW VPuO7K/73d9tife3yt8qOuxtngZhgqPEFOdKHuzj8Mu/93+vI3jL2W5+1JBzQRkV5L+z98c4fjx4 On1hdB1Lw9eWs4tbm1vbeVYy+1W3QSvGnmp8/wB7arf3kWvWjwf6V+L1qNTD1JUqsbSid8Zcw8cU UUVmMKKKKACiiigAoopD0oATOTXzP+2f4Eh8S+HPDOqJJFZ6hpl+62l4mPtfnTpsW3gVl8t2lbZ8 jsqsyp977jfS+cgV5z8cvDOj+Kvhdr1nrUd5JYLbNO62EbS3B2gnCIv3j/Dt6fNzXdl9b6vi6dTz IlHmifMXgn4rad4Xe5utR1O2u7LQbbdZO9xbP/adxA3zvFdSOzt5UW9fKgg+VVfY8u+uU8UfHC5+ JX7QmrW+naDcajoDS2Fmyy2b3Utwvmp5XlP9yKLdsl2/dl3N87fwfFFpc2sfjuK7tfFy3up2F9Yf ZtSdv9Eg2y27bkRUdvKi/er/ALq/xb0Vvtz4c/HHTfBXh7xDYaHd2lhp4up703mr6jBHq+oLLPcB 7gSNuVH3LA3lNA3morsquz1+sY/KI4D/AGiMOeUl/htscUanOcp8Tg/jL9rfWNMuNZs9BnXXbO/v pbyBbmNLKCG3iRtku6Nvkll+ZomXf82/bE1fVHjDQfCPw7lddL1FPI8Taf8A2TDoNpCn2SWa68uJ Lx2i2+UrLAq/3fkbyl3bt/gfwu0n7d8fD430uSV9R1KykTTI7/T1lvdSMVtBLJvlln+VVZZEj+Xc qvE3zoyV2/i68uvGFpoOg+JNKtPD2ranYPBc6v4f821s1n+3/JbzphtkErrEyTpL5qtLvVdru1fP ZhFVJ0KcZe7GMeb+vKxcCDQLO907xjrX9mfaPC+taZqcTaB5d4+o2F15tv5XkSp57qu77VFtnfZ1 i+X76P8AXGjaAuiNO73FxqN1cMjT311s82Xau1c7FVRx0VVx1/vGvJ/gp4Kt/B8V74Q8UWWnXHiR Uluomt4TLbyae/lxBI3aJT0giWRG3MzjexbeK7/4PtqC+AdNt9WgS1vLRprFoUl80KsEzxL8+1N3 yovzbF/3V6V8pmNb2zvDp+P620OmmdPrXh7TPEdp9m1PTbTUoD/yyu4FlT/vlq5iD4WaLYa6daso 5tP1RnRTcxPucRKWYwLu3BImZyzIu0bvm613ZHvR29a8eNWcVaLNDA119Uks0h06ys7kTKyTtd3L RbF29VUROH6/dbbX4+fF74i32geFtM+GejXuuG18Nyz/AGnULyedJdYvvNifc0XlblWJYHXyvl2q u773yN+z4IA4r4S/bx+B/iTWvELePPCuk32pQ6faF9TZL2WHMce3fEu2Xd5fl7/lSJ13O+//AGft OEsbh8PjFTxEdJbf4tl+Zz1oycdD478I+KYrWaK4vNMuodBtoBMllKJYknuYE/0dHiZl3xb12+Ui y7t25du3bFau/FniTWrnRdSguV0rU9LW1vbn7crJDLFFE8Sv+9Z9rbFVN77F+5t+5uXkkh1y8t4m tvEGrNo8Vj+9d2/0iL54k2W6qsTRfOy7kTcu6JPnfdtrr/hZqs+nWesQNHaWcX2l2ktJne3sr9v3 vmy7l/exKnmojKrbdqOzfMu6v2uvRjGEqqR5p+lvhnw/pvhzwd4G8G6dpumqdQtLiybULCJfK8hF Yy7djbR5u92VNzKjN91tlfnr8ddbXTvGnxU+yaZd2dyNdnv1ijn+aWKfY3moyN+9Xfbxbv8AWorS /wAXzI3beEvjzr/w9bQLkXN1ZaYkCy6al1cy37ptdbV/N3SrFt2xOq7Ni7VlX5XVWXyv4kXOpfE7 WZPEs8cA1W1jS4lt7u5nRYtLglRH2q2xlii8iV2f5ZWllfZt2bW+KybLKuBxMq2I+GV9f73MdNWf PE/U34AfE7RPiR8ONMn0jUIrm7sIIbO+tN6+dZzqgykqJjYfTKr8teqAZOcV+L/we+NHjv4Oalre raJA+j6h5sDz6VDp6pa3jq7wIssEWzZ9xFZ9u75mbYjNur9ZPg94u1fx18ONA17XdKGi6lqNpFdP aI25PnXcrDP3dww2z7y8bq+A4hyOeVVvac14y2OmjU50d+OKKKK+SOgKKKKACiiigApD0paDzQA0 fdrz745eKY/BXwn8UavLcG2eGykWF13/AOtZdqfc+b7zD5v4fvfw16D2ryv9pYJcfAfxxZS3lppk N9pktjLeXrukMUcwETMzKjN912+6rV04OKniacZfzIiXwn5KfD6wg0S4uP7X8jRItUtvsSprH72K 6lilii83777vkeVWRv3X3vn3J+66DwPqMXgr4hz6n4ksGhZ4p1urzW4rd7dfm8iVJ1if/Vb4tm3+ FpYtz/Ltet4ovtPmuvCFz4N8Euvhq4iit/s/2m6lmv8AbLvZJfnfbF86IsUqs3lRfe2bJa9C0jx/ Bc/ES60nUdSXTrpLt4rzT7eb7baxItvtXfeSt5ErxbJX824RmVdnzM/m1/RFetKdOTcPi/rzPLif ZmnfFTx1qXhnSLqz8N/2hdanBi18Zzae9uivLcMsS/Y9jS+WiOv+t8jzf4du/cmP+0dps2uarLpW s2zeJNMtNJeeexsrXZdXLQeU32qe4fbAqRNc7/KVZWXflE+dhXe/DL4taTd/EG38FweMtE1VhpEd xa6fpdttjQr8jRpO07tJt8piU2bk3fO3KrUfxF8KadefGvw4moyWtnb65GjSSJM8FxLLZR3DbFZN v3luly277sTrt+fK/ilOr7HFXdPl0k9unz8r7fI9H7JzHwT+IL3XiTQr3U/FGm69oWo2smnaDrJK pcySyJby/ZZ/3smZG8qVl3tu+RvvV6Z4i+FFxqp1loRpouLuSWeK8nSXz97rhVV0ZfI/iVni+Zlb +9lm8ytvgt4E+JnxF1tbyayv7ezjs/7MsLbbH9ls1f5mQQJHtVm3qjb2+VmavR73wp4TvtKGkat4 xuNW0eCdo/7PvdVjCPJFKrOkrLtafDbFdJWb7/zferDFSpqpGdOTi/te7/X6FROx0TV9L0nwbFdh P7G0jTrZ1eO4dCLOKDKMrMrMvybDn5m+6a5nxJ8UNb8Mta3MvgfVbnTplkeWW2lWWWApllDRxb/v L/Fu25+WuU1PT9S03Q5NP8K22q+OtFtbRp7azmmhRFuSxaJXll2faRlyzKz/AC+V8293Wvn74ufF 3xhqtvcaBpNn4m8FTJP5V5c61qUsUrNLau8Lfxxf88pXRHVVf90yMj7mMFlzxdWy97+vvCUuQ92+ Hn7QGra3dz3viIaVZadJdrFHFYN/q4pZfKibzXl/e7HRll/dRsu9chdrLXF/tIfEP/hNPEOh6BoP igjwzDFcXmt3elzzNFEEd7ZopZYYmVY/3su9XbrCn3P+WvAW8jXIXTzqusW2vXzS3N9c6Vo09rdW 9sz+a90s88vmrBE/zRfLFueWJmRt+2tX4WyaF490iw13WtRu7PULO2eyne7025SyNhu3xJcy/Ptg SCWJ1RbjYzfffd5te5HBUcPUWKjHSPkY80p+6fNXiv4O+PfiB4T1P4mXy+Ep9M0zTLrSW8mZbO43 QROmzyvKTzJX+9sfY277nlbl2eKDTNR0u4i1kW76VqFveRLE97ErvPO0W1dit8rbvlXYmxU2Ir/3 3+kP2vhB4Q8Rp8NNJuLa+tNWMGsatDYWk6xb4o93muvmy/L5SJK7I3m7bf8AdbVZt3gN5bTw6Xp6 2djpaanYefcS3FjPFcI6L8sssVqqJt/1Tp86b9tfrWUVqlagqlT4ZfDp9nzOKfxG5/wkdjPpHiq7 sJ00ia1iurjyr258+V4J0l2W/wBnni2ssu5HbYq/Mj7EVJUWuq8Q+B9b8Ea7plrBpcEmuRyW93c6 Tqf2Xet/EzxbbdZV+b5pd7Ku5fnRt7LsZeM0rTLHxh8K/FETectxtgurlba6g/dRfPvlaL/YRreJ tjb2XZt/jV/W9Fi8c/E34kW+keHr1dR8TxXKbfEEUTSxbFl82KeXcn+q+WVkb5f7m/8AiWcXL2N3 9iPxc3/boQJfG3iey8ZeKNN0vXtC8P2GlXVzdf2ndX0H2Vp597PbyyzwMkqvt+dViWLd5u7ypUSv tr9i/wAVeLPFnwhS88Yx3yanHcrbxPexKm+Jbe3Vmj2RIvl+b5uNu5f9tvvV474v/Yx1vTmsorTT 4/FNrPfyxSxPdxM1jYNu8q3SWdfNiiTbEzNE+93b7i/fr6r+DmuXWvfD3T5L+9XUdRs2l069u/s3 2fzbi2leCVtm5tvzxP3r8pzzG4bEYSEcP72vf4f+H/JI7KcZc3vHe0UUV8EdYUUUUAFFFFABSHpS 0UAMA5r5y/bx1yTS/wBnHWrG2gN3qOsXNtptnaJKyNLO8oZU+Xlh8nzL/dD19HHpXxV/wUO+INz4 RTwJZyKz+HDdT3WrRZ+Sdtu20t5flOyKWQsjS/ej3Bk3NivbyKhKtmNKMej5v/AdTKr8J4d4W0TT brwZpFn4inn8Pf2tfRWmm+ItalnsrLTniXzWlS1uHbczI8CqiIv72J/3/wByWotd1mL4d/2/JPps 7eKLqxg0t/FOmJFcQQeavlRP5X7376+bt3ssv7pml2s+2uqsrj4QeH9M1SPT/Dlxc2V8FsILjWdQ uEtIBPBvvNu3fEsX2d/ll3MyrK7JLs3su5bWV5q/jnxF4lv/ABDod3Hf+IxdWaypPLdfZdy77dt1 vLAy7Yrf/Vfe8hP3v3a/SZYiSqSlOMuR/wA3y9f+3unkcZh6lby3fgDRT4K8Ra3J8RIdDutXTRtY n+yuoltW33lnOu1Jdvmvtl3S/fT51VFiZ/wq8D/GHRdH2anpY8NWmnXUsU+oeJViuri8lSaVIorN Z1ZnaWKfyl+Xyt0UUvzs8qP9D6JrPijwP4W8Spp2m6fd22mPElhq8N79qlt0lndWg3rFL5nkHbui 2RLErbE+VFasO9+Llr8SNf8ABmpT6xd6GJovtSaTcN9lW2dry1s2dZWi/efLLdMjb93z/dTa1fPP H1pQlTVOMo/zfF/etp69TXlM3xPq9jp3xTuLPVfDVzrXhjUGtP7VuZNc/fWsoWWe18yJUWVnYQbl g3FU81Nu3e619PaX4d8PjRZotHsrK307UYT82mqsSzowPzK0f+/94f3q+XfFuueJ/hv4p8WWGsan btaahDY3WoRaRpaXHmPKv2VbmdWtXV1laBUl3OrbE/dKzMlczrf7T3j74Z6dqY8ILdfFmwupWi0V l0uTyrGIRRC3WWdFWRm+bzWV1bejoyy7Wry6uXV8eqcaH5vlf36XNYyjD4j3jx/rN/8ADrUvDPhX Q/HVh4fi1e5mx/btm9/JZw7JG3LK86Ksfm+VEiybv9aqL/Dt+Vv2gNY8balqPiiG/mXxHr+kzJFe S+HtJgsTbwf8srxZ1le5jdEb5Vd1iXzdzS/LXi3jT9qr4m+N7HT18SXxvLmdMS2lvp8EXkeU7+bE su391LvSJ2+7/wAsm3/6pl9f/ZG/Z8+Hfxx1DxTfTT6prFvZ/wChR30Wpo6Q/wAcS/d3M373d954 v3W35kb5/qqOUPIqX1zGuL5f5YqXX+bQ5va+29yBz/grTtT+Lmvwaumo2Pg/xHLbi6t/Et5bNZpr Hmz+VE118zKs7Ou7YjMvmxeVubbsrVv9b8ReGPHmswaN4huNVsvCcUFkdYuIJbj7ZcQXSzvKyxIn mtue4ZYpfNVdu9Gb5Wr6vHwS1XwlYeMNVjt9N8R6rLBnTbe1t3ilVl2+VJ80v+tVk3/fXcyptaLb XhXw9/Zu1JUuvhtca+LbxLZ20V1fan9td3D/ALrzdsK7lXerIzbmXet7Kvz7d6c9PNMLiOacpXhG 1o6fPz02L9nKJ8leNdEv/GmqRa/HrWrQSpp8AaVW3eVFLBFBcWqSq3n+QqzxRfd8r57hfu75a5DW Ly28MahaWlrp8c1vqnmtHLqFqnk/aPmiuPK2t5Uqu23c22Xbt2r/ALX2t+1Z4Hvfhj+zl4O1u4WE 6rpWspp+sz3bfZU1CCfckrPtdlZ/u/vfl+dDKqp8m3411e61DxVB9htoHm1+yg8p7i4sYvsiSs7y /P5/3Wd5dn+9/D/DX6DkuNWPoe0gvdXu/cctWPIaU015eeH7qx0++bxC8V99qguLSV0t4IvNR0t1 iWLymd2+z7t25lZ4tiV90/8ABN3xHYy6N4z8Pf2Haafrdhcw3M+oW0qvLf284eWB5cNn7jbk/h2y /J/FXwxpWpeH9Kmtby00iDWNcn1HymfzWRN+/wAjymtdvmts27n2fLtbbvf7tenfCv4p694D+I2g eI7TxObvUUuoo9RbxE32Vbqwnt7eBfNaRF/higl3M6qvlL93/VVw59gp43A1cPDpr/28i6UuWXMf rnRjFUrG8t9Qt457aZJ4pVDpIjblZW+b+VXc1/PjTWjPUCiopJFhTczKij+JqlzSAKKKKACiiigA ooooAaeDX5ef8FAdSsNY/aOsJ7i0mvrfSrW00GW2S5W3dnnfz2aJ/vq2yeLdsX+NFbcH21+oRPX8 K/GX9p3xnD4z+NfxY1xbLS9yXq2Gm6tcXPlSWqxb7dni3MySrLt2y7l+X5E/dfK1ffcFUefMJVba Rj/6Vp/mcuJ+E+xfBXwhg8WJ4T8Q3Vy2q6Fq2kNqkemalfSrpEU6/Z4mit2l/frF9mWV1+XZ8qv8 1WvgzrupLrtnonhzSLS90trPZZ6pIM2s9jueJNlurLFv2RW/mtEzK+/cqRfvdvgvwp+Nmt/HH4IW 3wt8Q2d4914durZZPEdtBPdZsXd4HilWCXcr+U09v/y13r/C2/dXqHhf4I6tc3VhoXjbxDCniTUt Ml+xaelxL5Xkqgit/ss7Xn+meUzrL5Uqtsldm3Rb4mbuxmHqYb2tLGz1v7q/u99PK3bzIhK/wnun xX8JaBbeEdHGny6daaAniSNplitd/wBkMaNA0VnHAm9H8+Jd2za3+u+Zar+FfGaeE/BHixvFmlan JrV9eOsp1KzFsmqO0cVrarLNEnkRPKqW6bfl27v4l+duuubTRvh94Is7e4sn0SHQ0+2xW6WhmtUn l3N+5/vMrNLtQP8AL1b5drV1nijwrL4h8GPpX9p3EWpCON7fUvk8xbmJlkilYKuxj5iqxXZtbn5c V8Z7eKjGlNe7zb/1+PyOnlPzu8bfG221G+uE8RWcWo6qlilveQ6hp0//ABNoVSV0Tz4HeXYip87f d81P3qL5v7rgPiV8QdN1TxlFct4WsNO1J9iXf9krK6S73ZN/lSsm1Wf7LAyKivu/eq670VvqXxF+ zx4/a9u/GWuazbQQWNrJdvbXspvGZoIYnRpfkZpPmib7r/8ALJJEVd7RL5h8f/2cvhx8M9cvvDnh y1sbe9tdHj1cHXZpZ4pSzPF5U7earKj/AGVpU2/KkkX3du0L+nZfj8uVWEI357fZ+H9DjlCZ8x+J 7HSkumu9N0iXw/pS3y28EP2OJEuJ/K/e7ka3VV3fvf3W/wCbyvk/gr9Qv2MfCcugfArRLy+0rRNO 1HUGe6ml0Dc0Vyu7bHKzO7MzOiq+3+HcE2qy14v8IvgFoPxi8Qalrkl8bjSrW0EmhSSQrA6CVpfs +GgSJZbZY4tyRK+1fOlXav3q+tfAvhseCftWg21mINJ82S/sxAq+Tb+bIZJYOOflld2X5VG1lX+C vC4nziGMowwcVaUfiNaNLklzGv4v1yTw7oU19FCtxcl0hgiZtqvLJIscYZv4V3Mu4/WotF8Habox spfssdxqdurqNTmiVrh2k2eaxf73zmJN3+4v90VsappttrNhLZXsK3FrOu14n6EVzXw8LL4dbbdS Xdot3dR27zTtKVhSd0TMrFmf5V3bmb+KvzqLtT906jyX49vdePv2ePGOl20l7p99eXt5YWaafbOs t5tuH+4sq7mXarMzrtX5HZX8rDt+X/iQx32pXdsGtm037QlvY2Sfav3vm3Du9ui/xP8Av50bf97f 8jpvTd+xXxP8DXPjiyismS1utPkgubea2upJYhmeLyDKrxfN8sTzpt4/127cNlfCusWPhfUvF1j4 F1rRdVtfD2qT3jR2ljbLZwyrbWv8ESvKsUXm/KiK37r7KzNtX7v6VwrmKoU5wUb/AGv6+44q8D5f 8M+EptQCaM1zHd3TRxKEitIvK8pbhZ7pIFZN25EWL5F+b55dzbW219X/ABh/Y2l8LXOiJH4dfUfD Fy8duiaUH822upFiVvPWLbvidvl3t93yot8v3a8m/Z9/Zv8AG3xC0bQNd8G6Vp+m30U9/wCXrV2i qtrLA6onm7E/1u9t29Nrf3fufJ+nOg/DgxeE/Culaxquoaze6FJDcvfTXL7rq4VW+aX5tzLufdtb uq+lerxDn31PEweGqLrzRIpUuaOp4t+xb4W8S6Zo99q2ppp8VleRrZywiS6bUYrm2YxOlysvyZX5 lXYv3Ej+dl2V614B+MUXjq41G0j0DU7HVLGwiv5LGbyvnWV5liWJ9+193kM277nzL81V/Bnhdvhx 4tubVrm5Ona0BPBDFGI7GC73s86pF/yy35DL/e2vn5vmf0K6jtLIG+nWGFLWJv8ASJQq+VH95vm/ hX5V/wC+RX5hjcRHEVpVZRvzbf1+B2wjyRMvxZ4bt/FuhajpGpQvdWd06KUg+R41+Q7t277ytlv/ AGVv4m2njDRbbUbnSG1VGv8AT4ojdGZuVDZVGdvu7m2v/wB8t/drxfx3+0jcw2eu32npp2keBY7W WOPxlPqsUT+ftHzRROj7WXduRZU2y/e+79/xP4A6joupeLfG0x1ceN59Qhvp31rU3WbyJY8JsbZE 8uyXy3+X91uiZNsDJKu3qo5VWqYeVar8Mf6/DtuKVT3j7g0HxXpXimFp9J1G21KFXaJ3tZVfDLj0 P0/76Fb1Yvh8m6sbe+uNMGmX8sK+bbnazxH72wsv+9W1Xgz5eb3TUKKKKQBRRQaAPGv2p/i1N8E/ gnrvii0ureyvYXt4IZruNnVGluEidgOm5UZmXd8u5V3fLmvzi+Cms+Kv+FTfEXTLKG0uNDu1l03W /Ec2n/atsuxYEZPvMVZpZd+75drS/cZq+1P20NC1G81PwLqqyWl1YWslzax6VNavdNLdzoqIyxLK jS/J5qnCt8rv/f8Al8U1nwvJo3wfbQdL0q2vLXVoPsus3FvBP9n1S3gZ4oli2pKsTpEsW1pYl82X +Jtjq36ZkToYbARjy806kl/5K/6a82cVT4jy/wDZnj8T+Frm/Gg3UurWOtQfYZLJLGK5a5/1qeVv glaVol8i4bz4tv8AC277qP8AdHwk8BeINW8PaafGNzLDd6PIkEdoLazntnt/9HbYjbHO3zYNwb5H Vdv91Xr5A+HngDTIV1DxHpXiU+FPP0z7A2n6nBui/s6W4bzXi8hWZdrRSo6uqsqvu3o371vt39nX wVbeDPhlBe2FpOdS1pf7Tm/tFIIppZGUbd7wJ93bt27tzIjBf4dox4mxMZSlUj8X+H+vwLoRLnh3 wn4j1XxbqD67qovfDFpfSz2tld2bedNNu/dfOzbWhiXbt/dKzSDfvbbul9TJ645HpSkc5ry74ZfD O58FeIfFHiTWdQudV1jXbmI/aJp3lMFuq/Jbqu3aio7yfd+Xnd8tfn7ft4ycpWtsdR3uv6LF4g0W 902aWWCK8heBpYW2sgYEbl/2q5Cf4WaVafEO/wDFNnpVg93r9omm61NJFmWW3iWXZtbd/edVZcfM Nv8Acr0QGgk5rOFScNFIVjgPDfwj8P8AhW7huNKivYPs93LeRxTahPJGkrReRnYz42rEvlon3VXG 0DauO/zxXzD+1P8AGG/+Detx6xpV9YW+oJok7C01DO66UTxcwLwsjxfMzQ7kaVW2o6su4fQfhO8v dQ8MaRd6pbpaanPaRSXMCHKxSsi71X23Zrsr0KypU8RUd+YUZR+E2yOK4bSnm8D3Vpot3dM+jJb7 LG9u9uV27v3Ej5+8qbdjbfmVW3Fm+Y90Dmq15ZQahbPBcQx3EDj5opFDK351xxkloyjH8YWus3vh vUoNBvLex1h4mW2uLqHzUR+cZXcvt/8AZV88W37OemeLNBbQtBefwza29tK11J/ZbRuuq7otjt5j t5/lqjLvV3b5m/ftuO727TLTxL4Wlj02G1i1zRoVXyLua8MV3HGq7fKddu2Vum1tyBgfm2sm+U1H xT4ghey+z+C76W1eUR3PnX1sk0abWw8aCRlkO/buDOnylmG4qFb0MPXrYb+DL8iZR5jP+C3wpj+D vhP+wIbtLu2jkMissHlc/d7Nt+4qdFX5ldj96vST1rJ8O61beI9EsNUsmZrW8gSePfw21gDz71rH g1wVqlSrUlOp8Q0A4FUNWvLOw0y6ub+SGGyijZpnn+4qfxbqvA8V5H8YPjlovwjn26zHFdW72Mmp LEG2PH5DrueRm+SNPmXazsvzrt/3aw9KpXqKnTV5DZ8+/E34jabeX8fhbSTHLdaF4eWwS4fSJytz fRbmRV2/vf3D26vslXym3/e37ak+CFmZ59cu5r+5l8Su1neLpCajLdW95PE0W9/svmu0W14EiZn2 tBs27dv3/V/h7LpniGG8+LWieH7ez1fVrjy5bSNoJX1BVVIpPKlZI2En7rbt3bGaH/a315N8AbzW tH/a78SL4w0p9J8R65Ys9lp8V4ktva6azPKu1fv7t0Sqx27d7Mvy7U3/AG0ZwnhatCMeX2cer15v tHL9o+3x0ooor4Q6gooooAKKKDzQB89ftc6unhLwTbeJrqxs9VtNKkkmayv7Z7iCV9m5V2qHZWfZ 5QdV+USszNsDq/xJ9v8ADE9jYWUur2Lv4n2tIl80F1FE3msiOsEUTy+ei3lxAi/ulaVH/haLb+pe t6Lp/iHTptP1Oxt9SsZxiW1u4lljcf7Stwa5rQfhH4W8Py6XPbaNbPf6bC1vBfSxKZwjbs7m6t99 /wDvt/7zV9RlucUsFh/ZzjeX9fqc8qfPI+GY9Dae9trbUtZ1/wAPaxYC0gOlzafayXVxbQSusTW0 qQ+fP88UEq2exd23am9fmr63/Zy8Dap4O8II+pT2Nwt75M9s1hbzWqrFs+RDBIq+RtTavlRpEmdz eUhdlr1PUdGtNUt2jniJ+ZX3Ru0b7lPytuXmrNhZx2FpFAhkYRLtDTSNK3/fTfM1cmOzWeNpez5e UuNPkK+k3UVzbbIr37c9sxglk3qXEi/eVtvy7umRXkn7VB8RW/w0v7jQfEMHhoKq77iZZlPm+Ynl fvYnRo03fefcqr95tyBkb17S9Ns9Gs1tbK2is7dWdlhgjCKpZtzYUf7TGsfxx4O0/wAe+G7rRtWR pbO5Qo+ApC/KRuwwKt1/iVl6ZWvMw1WNHERm/hRcvhPkn4CfFbUdZ1XQtY03wquW02LSdMtbu7Sw t2Z5YFv7q3R08za0v2dtmxfl3Ou93Za+pNG0q38aR6T4nvxHdu0EV7psGwFbMSRozbXxuZi38XH8 Py/3vIfDn7Gtv4WUx2PjXVLzTluZ5INM1SJbiytopGUrsg3KvnRbfklfdt2r8ny19BaDotn4c0XT tK0+H7NY2MEdtbRF2bZGihUXc3zfdx1r1MzxGFqz58J/X3/1uRTjL7R5l8ZfgcPi/wCKPB89/PH/ AGTpFxJMyQBorpd0LqcuzMkkbN5W6Jo+dqtu+Ta/pul3FhFu0u0uYmmsUWJ7ZZNzxDb8u7Pzfd20 /U7e+uDafZLxbQR3CPMGgEvmx87o/wDZzx81cdcfCfTp/ie3joSsdaS2htIy2791Gnnb0G1lyrLO eG6MitXle1dSnGnUl7sfhLPRh0opBwKWuYoaRzWF4X1xPEmiW2ooAkc+5ggY7ovnPyP/AHXX7rr/ AAsrLW8TnivLPCVtrnh34sazpX2K7uPC99Z/2supTIm1b57qXfEu3/pk0S/9st3VmZrhFNMR1qeE bW31CW9tZr20mlO5kiu5fJ+Z9zfuGZossd25tu75qm1XxbpGjW2qXl7qlpa2mkp5moXE0yqlqmzf +8b+H5cNz/s/3q3ycivNvCNl4kGiXlhr2i2lxatdtZiCRl3XMGX33UnzOrB9y/uz83yszHc+xLj7 +rYjt9N1G01zT4ru0l822nXdHKAy717MP/iq5j4jeENM8VeAtS0XUUEumTWssVw13NJmOJkZHY/x P8rN8rferb0eK+mgt5dYt7KG8R28pLKRpUiGNo+dlXLYzk7V+9t920NTtWu7YxrNLbtuVvNh27vl YN/FSjJ0580Sz5P+IGi6/YeC4fC/h3QtI1Oz8XBpo7Gw/wBGFm8qyu9/KGtt8Ue5In3s25XmaL+7 IsnwJ8M+JNW+NOk+KfE0s8OqRaBJp+yWz857lLS5ljMrXaqq7m+1LuT7zNFuZduyvf8Axb8IvDHj meCXXtPbUDbokSLLPJtwqSqjH5vmZVnlG5sn52rsbKzisLaK2gUJBEqxog/hVRxXrzzGPsPZxj70 t2Y8nvFwHNFAOaK8M1CiiigAooooAKKKKACiiigAo60UUAFFFFABRRRQAUUUUAFJiiigBaKKKACi iigA6UdaKKACiiigAooooA//2Q==