Algal blooms in a freshwater reservoir – A network community detection analysis of potential forcing parameters-Reference-Cited by-同舟云学术

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Algal blooms in a freshwater reservoir – A network community detection analysis of potential forcing parameters

Published:2020-11 Issue: Volume:60 Page:101168
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

Allen Gerald R.,Schwartz Franklin W.,Cole David R.,Lanno Roman P.,Prabhu Anirudh,Eleish Ahmed

Funder

Center for Energy Research, Training, and Innovation

Ohio State University

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Ecological Modelling,Modelling and Simulation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference38 articles.

1. An Analysis of the Fate and Transport of Nutrients in the Upper and Lower Scioto Watersheds of Ohio;Allen,2011

2. Effects of agricultural drainage on aquatic ecosystems: a review;Blann;Crit. Rev. Environ. Sci. Technol.,2009

3. Fast unfolding of communities in large networks;Blondel;J. Stat. Mech.,2008

4. Maintenance of terrestrial nutrient loss signatures during in-stream transport;Brookshire;Ecology,2009

5. Estimating effects of limiting factors with regression quantiles;Cade;Ecology,1999

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of algal bloom using a combination of sparse modeling and a machine learning algorithm: Automatic relevance determination and support vector machine;Ecological Informatics;2023-12

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