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John L. Bailey

Researcher at Indian Ministry of Environment and Forests

Publications -  7
Citations -  1043

John L. Bailey is an academic researcher from Indian Ministry of Environment and Forests. The author has contributed to research in topics: Surface water & Global warming. The author has an hindex of 5, co-authored 7 publications receiving 794 citations. Previous affiliations of John L. Bailey include Ontario Ministry of the Environment & Laurentian University.

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Rapid and highly variable warming of lake surface waters around the globe

Catherine M. O'Reilly, +63 more
TL;DR: In the first worldwide synthesis of in situ and satellite-derived lake data, this paper found that lake summer surface water temperatures rose rapidly (global mean = 0.34°C decade−1) between 1985 and 2009.
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A global database of lake surface temperatures collected by in situ and satellite methods from 1985–2009

Sapna Sharma, +73 more
- 17 Mar 2015 - 
TL;DR: A database of summer lake surface temperatures for 291 lakes collected in situ and/or by satellites for the period 1985-2009 offers an invaluable baseline perspective on global-scale lake thermal conditions as environmental change continues.
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Random forests as cumulative effects models: A case study of lakes and rivers in Muskoka, Canada.

TL;DR: It is demonstrated that Random forests can be used to describe the combined and singular effects of multiple stressors and natural environmental factors, and furthermore, that random forests can been used to evaluate the performance of monitoring indicators.
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Arrive, survive and thrive: essential stages in the re-colonization and recovery of zooplankton in urban lakes in Sudbury, Canada

TL;DR: This paper employed 40-year records from weekly to monthly crustacean zooplankton samples from Middle and Clearwater lakes near Sudbury, Canada, to identify the main mechanistic bottlenecks in this recovery process.
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A tiered method for discriminant function analysis models for the Reference Condition Approach: model performance and assessment

TL;DR: An alternative to standard DFA in which a series of tiered models are used was examined, which was similar to or slightly better than the standard single-step DFA models in correctly matching validation sites to reference groups, but this improvement in accuracy did not necessarily translate into improved bioassessment error rates.