000 01348 a2200373 4500
005 20250516024040.0
264 0 _c20110519
008 201105s 0 0 eng d
022 _a1520-5851
024 7 _a10.1021/es103054q
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aAzim, M Ekram
245 0 0 _aDetection of the spatiotemporal trends of mercury in Lake Erie fish communities: a Bayesian approach.
_h[electronic resource]
260 _bEnvironmental science & technology
_cMar 2011
300 _a2217-26 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't
650 0 4 _aAnimals
650 0 4 _aBayes Theorem
650 0 4 _aEnvironmental Monitoring
_xmethods
650 0 4 _aFishes
_xmetabolism
650 0 4 _aFresh Water
_xchemistry
650 0 4 _aHalf-Life
650 0 4 _aMercury
_xmetabolism
650 0 4 _aModels, Chemical
650 0 4 _aOntario
650 0 4 _aWater Pollutants, Chemical
_xmetabolism
650 0 4 _aWater Pollution, Chemical
_xstatistics & numerical data
700 1 _aKumarappah, Ananthavalli
700 1 _aBhavsar, Satyendra P
700 1 _aBackus, Sean M
700 1 _aArhonditsis, George
773 0 _tEnvironmental science & technology
_gvol. 45
_gno. 6
_gp. 2217-26
856 4 0 _uhttps://doi.org/10.1021/es103054q
_zAvailable from publisher's website
999 _c20606094
_d20606094