https://confluence-jwsm.ca/index.php/jwsm <p>Confluence: Journal of Watershed Science and Management is an open access science journal that aims to increase knowledge and awareness of watershed science and how it applies to management throughout the Pacific Northwest. All Confluence articles undergo technical peer review to ensure accuracy and relevancy to audiences interested in watershed management. The journal’s goal is to publish articles that will provide access to relevant, cutting edge information in a format that is easy to ready, reliable, and objective. Confluence is intended not only for the scientific community and water professionals, but for resource managers, government staff, stewardship groups, and other interested individuals who may not normally seek their information from journals.</p> <p>A key feature of Confluence is a preference for short (1500–2000 word) applied science articles that demonstrate how scientific learnings can be applied to water resources management. Types of articles accepted for Confluence include standard science manuscripts, applied “How to” articles, brief literature reviews, conference/ workshop summaries, and other extension-based articles. The focus of Confluence is on the extension of Watershed Management science primarily in Western North America, but submissions from other areas are most certainly welcomed.<br><br>Disclaimer: All articles published in Confluence are technically reviewed to ensure that we extend reliable and technically sounds content to our readers. All content published in Confluence is intended to provide general information and should not be relied upon as legal advice or legal opinion. The information and opinions expressed in Confluence are those of the respective authors and the editors and publisher do not warrant their accuracy or reliability and expressly disclaims any liability in relation there to.</p> en-US <p>Submission of an original manuscript to the Journal will be taken to mean that it represents original work not previously published, that it is not being considered elsewhere for publication; that the author is willing to assign copyright to the journal as per a contract that will be sent to the author just prior to publication and, if accepted for publication, it will be published in print and online and it will not be published elsewhere in the same form, for commercial purposes, in any language, without the consent of the publisher. The author licenses the right of exclusive publication to Confluence for one year and agrees to cite the journal as the original publisher in all subsequent uses under the author's control or influence.<br /><br />The journal takes the stance that the publication of scholarly research is meant to disseminate knowledge and, in a not-for-profit regime, benefits neither publisher nor author financially. It sees itself as having an obligation to its authors and to society to make content available online now that the technology allows for such a possibility.</p><p>Authors who publish in Confluence: Journal of Watershed Science and Management agree to release their articles under the Creative Commons Attribution-Noncommercial-No Derivative Works 2.5 Canada Licence. This licence allows anyone to copy and distribute the article for non-commercial purposes provided that appropriate attribution is given. For details of the rights an author grants users of their work, please see the <a title="Creative Commons license summary" href="http://creativecommons.org/licenses/by-nc-nd/2.5/ca/" target="_blank">licence summary</a> and the <a title="Creative Commons full license" href="http://creativecommons.org/licenses/by-nc-nd/2.5/ca/legalcode.en" target="_blank">full licence</a>.</p> editor@confluence-jwsm.ca (Dan Moore) managing_editor@confluence-jwsm.ca (Marilyn Bittman) Thu, 15 Feb 2024 09:10:02 -0800 OJS 3.3.0.8 http://blogs.law.harvard.edu/tech/rss 60 https://confluence-jwsm.ca/index.php/jwsm/article/view/53 <p>Many quantitative relationships in the environmental sciences, and specifically in watershed science, can effectively be modelled using a power-law function. Such relationships are often estimated using ordinary least squares regression after linearizing the relationship by log-transforming both the <em>x</em> and <em>y</em> variables. Alternative approaches include nonlinear least squares regression and generalized nonlinear least squares regression. However, there are some differences in the underlying characteristics of these models that can result in the generation of different relationships and associated prediction limits. This article provides an overview of the statistical models underlying these approaches, then illustrates their application using the R language for an example based on fitting a regional relationship to predict flood quantiles from catchment area.</p> <p><strong>Keywords:</strong> law relationships, log-transformation, nonlinear least squares regression, generalized nonlinear least squares regression</p> R. Dan Moore Copyright (c) 2024 R. Dan Moore http://creativecommons.org/licenses/by-nc-nd/2.5/ca/ https://confluence-jwsm.ca/index.php/jwsm/article/view/53 Thu, 15 Feb 2024 00:00:00 -0800