MODELING PHYTOPLANKTON ABUNDANCE IN SAGINAW BAY, LAKE HURON: USING ARTIFICIAL NEURAL NETWORKS TO DISCERN FUNCTIONAL INFLUENCE OF ENVIRONMENTAL VARIABLES AND RELEVANCE TO A GREAT LAKES OBSERVING SYSTEM1-Reference-Cited by-同舟云学术

MODELING PHYTOPLANKTON ABUNDANCE IN SAGINAW BAY, LAKE HURON: USING ARTIFICIAL NEURAL NETWORKS TO DISCERN FUNCTIONAL INFLUENCE OF ENVIRONMENTAL VARIABLES AND RELEVANCE TO A GREAT LAKES OBSERVING SYSTEM1

Published:2006-04 Issue:2 Volume:42 Page:336-349
ISSN:0022-3646
Container-title:Journal of Phycology
language:en
Short-container-title:J Phycol

Author:

Millie David F.,Weckman Gary R.,Pigg Ryan J.,Tester Patricia A.,Dyble Julianne,Wayne Litaker R.,Carrick Hunter J.,Fahnenstiel Gary L.

Publisher

Wiley

Subject

Plant Science,Aquatic Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1529-8817.2006.00209.x/fullpdf

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2. Retrospective analysis of the response of Saginaw Bay, Lake Huron, to reductions in phosphorus loadings

3. Modeling the Role of Zebra Mussels in the Proliferation of Blue-green Algae in Saginaw Bay, Lake Huron

4. Isolation and Characterization of Microcystins, Cyclic Heptapeptide Hepatotoxins from a Lake Erie Strain of Microcystis aeruginosa

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