WPCU  l3nQ;Jkpӗ"$[]S6"h]dlABfF'G|?mxGa<$`.N-Iss|(p<#>wrz1^E95s3%B5![ȁπV*Mz F(HFk1N\RD9hDr+s=0}xתVR7ዱ9\uۉ;NC&Ӳ ۂ7 galQ!%Tg9 IiDeS$Ħc&)N ISdwLnW0Z4@s:`cv (X3 ^ q w} 4   m  1uK 72 0c HP LaserJet 6P,,,,,,,,0(9 Z6Times New Roman RegularX($USUS.,(hH  Z6Times New Roman Regular\  `&Times New Roman`%- A#-,Backup3|xU  2# ' snrsjholz0snrsjholz .   3#37=CIQYag1.a.i.(1)(a)(i)1)a)i)(;3$2#  0  .3  0  !USUS.,  _ &#%XX   DevelopmentofaComprehensiveLakeandReservoirClassificationStrategyforNebraskaasaModel  forAgriculturalDominatedEcosystems  JohnC._Holz_ 8 SchoolofNaturalResourceSciences ` UniversityofNebraska 8 103PlantIndustryBldg.   Lincoln,NE685830814   4024726648 p  jholz@unl.edu H   b &=%%&#  Inagriculturallydominatedregions,landusepracticeshaveanunusuallylargeimpactonwater   bodiesand,therefore,mayreducetheutilityofcurrent_ecoregion_Ԅbasedapproachestolakeclassification   bydampeningthesignalswhichunderliethe_ecoregion_Ԁframework.Thisresearchfocusesondeveloping   acomprehensiveclassificationschemeforagriculturallydominatedecosystemsby(1)establishinga X  protocolforaggregatingwaterbodiesinagriculturalecosystemsintoclassificationstrataandidentifying 0  referenceconditionsfortheseclassesand(2)establishingtheroleofremotesensingandGISina X classificationstrategy. 0   A  waterqualitydatabasefornearly325Nebraskalakesandreservoirshasbeenestablishedwith  allwaterbodiessampledmonthlyfromMaythroughSeptemberforcommon_limnolgical_Ԁparameters  (e.g.,nutrients,clarity,chlorophyll).#&#%%&=v#&=%%&#ԀFromthisdatabase,lakesandreservoirsarebeingclassified h hierarchicallyusingacombinationofrulebasedanddatabasedapproaches.#&#%%&=S#Thusfar,lakeandreservoir @ classeshavebeendefinedbyperformingafactoranalysisonthe_limnological_Ԁdataandplottingthe h significantfactorstoidentifygroupswithsimilarwaterqualitycharacteristics.Interesting,theLevelIV @ _Ecoregions_Ԁbasedonsoiltype,nativevegetationcover,topography,andgeologydonotaccurately  representwaterqualityofNebraskasreservoirsornaturalSandHillslakes.Limitedsurfacewater  inputs,combinedwithlocalhydrology,reducetheutilityoflandscapeclassificationapproachesinthe x SandHillsregionandthedominantimpactoflanduseminimizestheeffectivenessof_ecoregional_ P classificationforthereservoirs.&=%%&# (x   #&#%%&= #&=%%&#Improvedmethodsarealsobeingdevelopedfor#&#%%&=( #&=%%&#integratingfielddata,datacollectedviaairborne P andcloserangeremotesensing,datacollectedviaoperationalandnearfuturesatelliteremotesensing ( systems,andancillary_geospatial_Ԁdatainamultistageapproachtolakeclassification.#&#%%&= #Ԁ&=%%&#Biological   indicatorsthatintegratethelakeconditionsofeachstratum#&#%%&=#&=%%&#Ԁwillbedevelopedfromsummer  ! phytoplanktonandzooplanktoncollections#&#%%&=#andspecialemphasishasbeenplacedondevelopingmethods `!" toremotelysensebiologicalindicatorsofwaterqualitybasedonatheopticalphytoplanktonpigment 8"# structuresoflakes.Closerangeremotesensingtechniqueswereverysensitivetoevenslightvariationin #`$ chlorophyllconcentration(aswellasinturbidityand_Secchi_Ԁdepth),withstandarderrorsof<5mg/m3 #8% overarangeofchlorophyllconcentrationsfrom10to194mg/m3.#X$X%&#@#