J
Jonathan W. Moore
Researcher at Simon Fraser University
Publications - 124
Citations - 7303
Jonathan W. Moore is an academic researcher from Simon Fraser University. The author has contributed to research in topics: Population & Oncorhynchus. The author has an hindex of 33, co-authored 116 publications receiving 6019 citations. Previous affiliations of Jonathan W. Moore include National Marine Fisheries Service & University of California, Santa Cruz.
Papers
More filters
Journal ArticleDOI
Incorporating uncertainty and prior information into stable isotope mixing models
TL;DR: A Bayesian-mixing model is developed that estimates probability distributions of source contributions to a mixture while explicitly accounting for uncertainty associated with multiple sources, fractionation and isotope signatures.
Journal ArticleDOI
Best practices for use of stable isotope mixing models in food-web studies
Donald L. Phillips,Richard Inger,Stuart Bearhop,Andrew L. Jackson,Jonathan W. Moore,Andrew C. Parnell,Brice X. Semmens,Eric J. Ward +7 more
TL;DR: Stable isotope mixing models are increasingly used to quantify consumer diets, but may be misused and misinter- preted, and major challenges to their effective application are addressed.
Posted Content
Bayesian Stable Isotope Mixing Models
Andrew C. Parnell,Donald L. Phillips,Stuart Bearhop,Brice X. Semmens,Eric J. Ward,Jonathan W. Moore,Andrew L. Jackson,Richard Inger +7 more
TL;DR: In this article, stable isotope mixing models (SIMMs) are used to quantify the proportional contributions of various sources to a mixture, and a compositional component of the model is based on the isometric log ratio (ilr) transform of Egozcue (2003).
Journal ArticleDOI
Bayesian stable isotope mixing models
Andrew C. Parnell,Donald L. Phillips,Stuart Bearhop,Brice X. Semmens,Eric J. Ward,Jonathan W. Moore,Andrew L. Jackson,Jonathan Grey,David J. Kelly,Richard Inger +9 more
TL;DR: This paper proposes a compositional mixture of the food sources corrected for various metabolic factors based on the isometric log‐ratio transform, which can apply a range of time series and non‐parametric smoothing relationships.
Journal ArticleDOI
Pacific salmon and the ecology of coastal ecosystems
Daniel E. Schindler,Mark D. Scheuerell,Jonathan W. Moore,Scott M. Gende,Tessa B. Francis,Wendy J. Palen +5 more
TL;DR: One of the most spectacular phenomena in nature is the annual return of millions of salmon to spawn in their natal streams and lakes along the Pacific coast of North America The salmon die after spawning, and the nutrients and energy in their bodies, derived almost entirely from marine sources, are deposited in the freshwater ecosystems This represents a vital input to the ecosystems used as spawning grounds as mentioned in this paper.