Increasing accuracy of lake nutrient predictions in thousands of lakes by leveraging water clarity data

Increasing accuracy of lake nutrient predictions in thousands of lakes by leveraging water clarity data

Abstract Aquatic scientists require robust, accurate information about nutrient concentrations and indicators of algal biomass in unsampled lakes in order to understand and predict the effects of global climate and land‐use change. Historically, lake and landscape characteristics have been used as p...

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Bibliographic Details
Main Authors: Tyler Wagner, Noah R. Lottig, Meridith L. Bartley, Ephraim M. Hanks, Erin M. Schliep, Nathan B. Wikle, Katelyn B. S. King, Ian McCullough, Jemma Stachelek, Kendra S. Cheruvelil, Christopher T. Filstrup, Jean Francois Lapierre, Boyang Liu, Patricia A. Soranno, Pang‐Ning Tan, Qi Wang, Katherine Webster, Jiayu Zhou
Format: Article
Language:English
Published: Wiley 2020-04-01
Series:Limnology and Oceanography Letters
Online Access:https://doi.org/10.1002/lol2.10134

Internet

https://doi.org/10.1002/lol2.10134

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