The Experts below are selected from a list of 324 Experts worldwide ranked by ideXlab platform

Igor M. Belkin - One of the best experts on this subject based on the ideXlab platform.

  • Remote Sensing of Ocean Fronts in Marine Ecology and Fisheries
    Remote Sensing, 2021
    Co-Authors: Igor M. Belkin
    Abstract:

    This paper provides a concise review of the remote sensing of ocean fronts in Marine Ecology and fisheries, with a particular focus on the most popular front detection algorithms and techniques, including those proposed by Canny, Cayula and Cornillon, Miller, Shimada et al., Belkin and O’Reilly, and Nieto et al.. A case is made for a feature-based approach that emphasizes fronts as major structural and circulation features of the ocean realm that play key roles in various aspects of Marine Ecology.

  • Remote Sensing of Ocean Fronts in Marine Ecology and Fisheries
    2020
    Co-Authors: Igor M. Belkin
    Abstract:

    This paper provides a concise review of remote sensing of ocean fronts and its applications in Marine Ecology and fisheries, with a particular focus on the most popular front detection algorithms/techniques: Canny (1986), Cayula and Cornillon (1990, 1992, 1995), Miller (2004, 2009), Shimada et al. (2005), Belkin and O’Reilly (2009), and Nieto et al. (2012). A case is made for feature-based approach in Marine Ecology and fisheries that emphasizes fronts as major structural and circulation features of the ocean realm that play key roles in various aspects of Marine Ecology.

Peter G. Beninger - One of the best experts on this subject based on the ideXlab platform.

  • Strengthening statistical usage in Marine Ecology: Linear regression
    Journal of Experimental Marine Biology and Ecology, 2016
    Co-Authors: Inna Boldina, Peter G. Beninger
    Abstract:

    Abstract Linear regression is a frequently-used statistical technique in Marine Ecology, either to model simple relationships or as a component of more complex models. The apparent simplicity of this technique often obscures its far more complex underpinnings, upon which its validity, and ultimate ecological interpretations, wholly depend. We present a non-technical review of the foundations of linear regression and its application in Marine Ecology, with emphasis on correct model specification, the different concepts of linearity, the issues surrounding data transformation, the assumptions which must be respected, and validation of the regression model. The necessity of reporting the results of regression diagnostics is stressed; contrary to widespread practice in Marine Ecology, R2 and p-values alone do not provide sufficient evidence to form conclusions.

  • Strengthening statistical usage in Marine Ecology
    Journal of Experimental Marine Biology and Ecology, 2012
    Co-Authors: Peter G. Beninger, Inna Boldina, Stelios Katsanevakis
    Abstract:

    article i nfo Article history: Although within their own disciplines, the statistical, social science, medical, and terrestrial Ecology literatures are replete with accounts of the widespread misapplication and misuse of statistical testing and interpretation, aware- ness of these issues is weak among Marine scientists who are not statisticians, but whose work is nonetheless situ- ated within the expanse of Marine Ecology. Moreover, the major recent developments in statistical approaches in these fields are, as yet, poorly-represented in the Marine ecological literature. We present a non-technical review of (1) the most fundamental, yet pervasive, problems concerning classical statistics, with suggestions for improved practice, (2) alternate, often more appropriate and intuitive, approaches to statistical design and interpretation, and (3) the crucial roles of reviewers, and especially of editors and editorial boards. It is hoped that increasing the aware- ness of these issues will strengthen statistical usage in Marine Ecology.

Stelios Katsanevakis - One of the best experts on this subject based on the ideXlab platform.

  • Strengthening statistical usage in Marine Ecology
    Journal of Experimental Marine Biology and Ecology, 2012
    Co-Authors: Peter G. Beninger, Inna Boldina, Stelios Katsanevakis
    Abstract:

    article i nfo Article history: Although within their own disciplines, the statistical, social science, medical, and terrestrial Ecology literatures are replete with accounts of the widespread misapplication and misuse of statistical testing and interpretation, aware- ness of these issues is weak among Marine scientists who are not statisticians, but whose work is nonetheless situ- ated within the expanse of Marine Ecology. Moreover, the major recent developments in statistical approaches in these fields are, as yet, poorly-represented in the Marine ecological literature. We present a non-technical review of (1) the most fundamental, yet pervasive, problems concerning classical statistics, with suggestions for improved practice, (2) alternate, often more appropriate and intuitive, approaches to statistical design and interpretation, and (3) the crucial roles of reviewers, and especially of editors and editorial boards. It is hoped that increasing the aware- ness of these issues will strengthen statistical usage in Marine Ecology.

Carlos M. Duarte - One of the best experts on this subject based on the ideXlab platform.

  • Marine Ecology warms up to theory
    Trends in ecology & evolution, 2007
    Co-Authors: Carlos M. Duarte
    Abstract:

    A recent report by O'Connor et al. demonstrates that planktonic larval duration time declines with temperature, as predicted from metabolic theory. This observation enabled the authors to develop a unified model predicting the effects of temperature on planktonic larval duration and, therefore, dispersal potential in the Marine environment. These results show metabolic theory to be a unifying ecological principle that bridges the Marine and terrestrial divide, helping to address fundamental problems in Marine biodiversity and conservation, as well as to understand the response of Marine organisms to climate change.

Inna Boldina - One of the best experts on this subject based on the ideXlab platform.

  • Strengthening statistical usage in Marine Ecology: Linear regression
    Journal of Experimental Marine Biology and Ecology, 2016
    Co-Authors: Inna Boldina, Peter G. Beninger
    Abstract:

    Abstract Linear regression is a frequently-used statistical technique in Marine Ecology, either to model simple relationships or as a component of more complex models. The apparent simplicity of this technique often obscures its far more complex underpinnings, upon which its validity, and ultimate ecological interpretations, wholly depend. We present a non-technical review of the foundations of linear regression and its application in Marine Ecology, with emphasis on correct model specification, the different concepts of linearity, the issues surrounding data transformation, the assumptions which must be respected, and validation of the regression model. The necessity of reporting the results of regression diagnostics is stressed; contrary to widespread practice in Marine Ecology, R2 and p-values alone do not provide sufficient evidence to form conclusions.

  • Strengthening statistical usage in Marine Ecology
    Journal of Experimental Marine Biology and Ecology, 2012
    Co-Authors: Peter G. Beninger, Inna Boldina, Stelios Katsanevakis
    Abstract:

    article i nfo Article history: Although within their own disciplines, the statistical, social science, medical, and terrestrial Ecology literatures are replete with accounts of the widespread misapplication and misuse of statistical testing and interpretation, aware- ness of these issues is weak among Marine scientists who are not statisticians, but whose work is nonetheless situ- ated within the expanse of Marine Ecology. Moreover, the major recent developments in statistical approaches in these fields are, as yet, poorly-represented in the Marine ecological literature. We present a non-technical review of (1) the most fundamental, yet pervasive, problems concerning classical statistics, with suggestions for improved practice, (2) alternate, often more appropriate and intuitive, approaches to statistical design and interpretation, and (3) the crucial roles of reviewers, and especially of editors and editorial boards. It is hoped that increasing the aware- ness of these issues will strengthen statistical usage in Marine Ecology.