scispace - formally typeset
S

Shawn W. Laffan

Researcher at University of New South Wales

Publications -  138
Citations -  5908

Shawn W. Laffan is an academic researcher from University of New South Wales. The author has contributed to research in topics: Endemism & Biodiversity. The author has an hindex of 33, co-authored 130 publications receiving 4869 citations. Previous affiliations of Shawn W. Laffan include Australian National University.

Papers
More filters
Journal ArticleDOI

Global patterns in plant height

TL;DR: A remarkably steep relationship between latitude and height is found, indicating a major difference in plant strategy between high and low latitude systems and new, surprising information about the correlations between plant height and environmental variables is provided.
Journal ArticleDOI

Endemism in the Australian flora

TL;DR: Endemism can be distinguished from species richness by using an appropriate index and mapping of such indices can detect centres of endemism, demonstrating the value of specimen based distributional data held in state herbaria and museums.
Journal ArticleDOI

Phylogenetic endemism: a new approach for identifying geographical concentrations of evolutionary history.

TL;DR: A new, broadly applicable measure of the spatial restriction of phylogenetic diversity, termed phylogenetic endemism (PE), which builds on previous phylogenetic analyses ofendemism, but provides a more general solution for mapping endemist of lineages.
Journal ArticleDOI

Which is a better predictor of plant traits: temperature or precipitation?

Angela T. Moles, +49 more
TL;DR: This work quantified the strength of the relationships between temperature and precipitation and 21 plant traits from 447,961 species-site combinations worldwide and used meta-analysis to provide an overall answer to the question.
Journal ArticleDOI

Biodiverse, a tool for the spatial analysis of biological and related diversity

TL;DR: Biodiverse is a tool for the spatial analysis of diversity using indices based on taxonomic, phylogenetic and matrix relationships and can be used both through a graphical user interface and scripts.