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Angela T. Moles

Researcher at University of New South Wales

Publications -  130
Citations -  19349

Angela T. Moles is an academic researcher from University of New South Wales. The author has contributed to research in topics: Introduced species & Seed dispersal. The author has an hindex of 44, co-authored 117 publications receiving 15934 citations. Previous affiliations of Angela T. Moles include Macquarie University & Victoria University of Wellington.

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Journal ArticleDOI

Plant Ecological Strategies: Some Leading Dimensions of Variation Between Species

Mark Westoby, +4 more
- 01 Nov 2002 - 
TL;DR: The leaf mass per area–leaf lifespan (LMA-LL) dimension expresses slow turnover of plant parts, long nutrient residence times, and slow response to favorable growth conditions.
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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.
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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.
Journal ArticleDOI

Three keys to the radiation of angiosperms into freezing environments

Amy E. Zanne, +25 more
- 06 Feb 2014 - 
TL;DR: It is shown that woody clades successfully moved into freezing-prone environments by either possessing transport networks of small safe conduits and/or shutting down hydraulic function by dropping leaves during freezing.
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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.