LEADER 01901nam  2200445 a 450 
001 9910701789803321
005 20120509151913.0
035   $a(CKB)5470000002420196
035   $a(OCoLC)793351642
035   $a(EXLCZ)995470000002420196
100   $a20120509d2012      ua             0
101 0 $aeng
135   $aurmn|||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aLinking urbanization to the Biological Condition Gradient (BCG) for stream ecosystems in the Northeastern United States using a Bayesian network approach$b[electronic resource] /$fby Roxolana Kashuba ... [and others] ; prepared in cooperation with Duke University
210  1$aReston, Va. :$cU.S. Dept. of the Interior, U.S. Geological Suvery,$d2012.
215   $a1 online resource (viii, 48 pages) $ccolor illustrations
225 1 $aScientific investigations report ;$v2012-5030
300   $aTitle from title screen (viewed on May 9, 2012).
320   $aIncludes bibliographical references (pages 33-34).
517   $aLinking urbanization to the Biological Condition Gradient 
606   $aWater quality biological assessment$zNortheastern States
606   $aStream ecology$zNortheastern States
606   $aWater quality$xResearch$zNortheastern States
606   $aBayesian field theory
615  0$aWater quality biological assessment
615  0$aStream ecology
615  0$aWater quality$xResearch
615  0$aBayesian field theory.
701   $aKashuba$b Roxolana$01397125
712 02$aDuke University.
712 02$aGeological Survey (U.S.)
801  0$bGPO
801  1$bGPO
906   $aBOOK
912   $a9910701789803321
996   $aLinking urbanization to the Biological Condition Gradient (BCG) for stream ecosystems in the Northeastern United States using a Bayesian network approach$93463009
997   $aUNINA