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Bill Shipley

Researcher at Université de Sherbrooke

Publications -  174
Citations -  20930

Bill Shipley is an academic researcher from Université de Sherbrooke. The author has contributed to research in topics: Specific leaf area & Trait. The author has an hindex of 61, co-authored 171 publications receiving 17546 citations. Previous affiliations of Bill Shipley include Centre national de la recherche scientifique & University of Guelph.

Papers
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TRY - a global database of plant traits

Jens Kattge, +136 more
TL;DR: TRY as discussed by the authors is a global database of plant traits, including morphological, anatomical, physiological, biochemical and phenological characteristics of plants and their organs, which can be used for a wide range of research from evolutionary biology, community and functional ecology to biogeography.
Journal ArticleDOI

The global spectrum of plant form and function

Sandra Díaz, +40 more
- 14 Jan 2016 - 
TL;DR: Analysis of worldwide variation in six major traits critical to growth, survival and reproduction within the largest sample of vascular plant species ever compiled found that occupancy of six-dimensional trait space is strongly concentrated, indicating coordination and trade-offs.
Book

Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference

Bill Shipley
TL;DR: In this article, the concept of testing multivariate causal hypotheses using structural equations and path analysis is demystified, using a minimum of statistical jargon, and using only a basic understanding of statistical analysis, a valuable resource for both students and practising biologists.
Journal ArticleDOI

TRY plant trait database : Enhanced coverage and open access

Jens Kattge, +754 more
- 01 Jan 2020 - 
TL;DR: The extent of the trait data compiled in TRY is evaluated and emerging patterns of data coverage and representativeness are analyzed to conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements.
Journal ArticleDOI

Confirmatory path analysis in a generalized multilevel context.

Bill Shipley
- 01 Feb 2009 - 
TL;DR: This paper describes how to test, and potentially falsify, a multivariate causal hypothesis involving only observed variables (i.e., a path analysis) when the data have a hierarchical or multilevel structure, and when different variables have different sampling distributions.