J
John P. Smol
Researcher at Queen's University
Publications - 692
Citations - 44928
John P. Smol is an academic researcher from Queen's University. The author has contributed to research in topics: Diatom & Arctic. The author has an hindex of 91, co-authored 655 publications receiving 41366 citations. Previous affiliations of John P. Smol include University of Alaska Fairbanks & University of Alberta.
Papers
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BookDOI
Tracking Environmental Change Using Lake Sediments
TL;DR: In this paper, the authors present an overview of numerical methods for the analysis of palaeolimnological data and present case studies of commonly used numerical techniques to evaluate surface water acidification and eutrophication.
Book
Tracking Environmental Change using Lake Sediments: Data Handling and Statistical Techniques
TL;DR: In this paper, the authors present an overview of numerical methods for the analysis of palaeolimnological data and present case studies of commonly used numerical techniques to evaluate surface water acidification and eutrophication.
Journal ArticleDOI
Emerging threats and persistent conservation challenges for freshwater biodiversity
Andrea J. Reid,Andrew K. Carlson,Irena F. Creed,Erika J. Eliason,Peter Gell,Pieter T. J. Johnson,Karen A. Kidd,Tyson J. MacCormack,Julian D. Olden,Steve J. Ormerod,John P. Smol,William W. Taylor,Klement Tockner,Jesse C. Vermaire,David Dudgeon,Steven J. Cooke +15 more
TL;DR: Efforts to reverse global trends in freshwater degradation now depend on bridging an immense gap between the aspirations of conservation biologists and the accelerating rate of species endangerment.
BookDOI
The diatoms : applications for the environmental and earth sciences
John P. Smol,Eugene F. Stoermer +1 more
TL;DR: Stoermer and Smol as mentioned in this paper used diatoms as indicators of water-level change in freshwater lakes and used them as mediators of biogeochemical silica depletion in the Laurentian Great Lakes.
Tracking environmental change using lake sediments. Volume 3: Terrestrial, algal, and siliceous indicators.
John P. Smol,H. J. B. Birks +1 more
TL;DR: In this article, a closed loop approach for time-lapse seismic monitoring is used for deblended data reconstruction using a closed-loop approach based on time lapse seismic monitoring.