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Glenda M. Wardle

Researcher at University of Sydney

Publications -  109
Citations -  4379

Glenda M. Wardle is an academic researcher from University of Sydney. The author has contributed to research in topics: Population & Ecosystem. The author has an hindex of 29, co-authored 100 publications receiving 3541 citations. Previous affiliations of Glenda M. Wardle include University of Illinois at Chicago & Michigan State University.

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Value of long-term ecological studies

TL;DR: In this paper, the benefits of long-term ecological studies are discussed and five key values of such studies are briefly discussed, including quantifying ecological responses to drivers of ecosystem change, understanding complex ecosystem processes that occur over prolonged periods, providing core ecological data that may be used to develop theoretical ecological models and to parameterize and validate simulation models, acting as platforms for collaborative studies, thus promoting multidisciplinary research, and providing data and understanding at scales relevant to management, and hence critically supporting evidence-based policy, decision making and the management of ecosystems.
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Emergent insights from the synthesis of conceptual frameworks for biological invasions

TL;DR: In this paper, a more inclusive and mechanistic conceptual framework for invasion should facilitate quantitative and testable evaluation of causal factors, and can potentially lead to a better understanding of the biology of invasions.
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A fresh framework for the ecology of arid Australia

TL;DR: Fourteen propositions distil the argument that most features of the Australian deserts are explicable in terms of two dominant physical and climatic elements: rainfall variability, leading to extended droughts and occasional flooding rains; and widespread nutrient poverty.
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The compadre Plant Matrix Database: an open online repository for plant demography

TL;DR: The compadre Plant Matrix Database version 3.0 is introduced, an open‐source online repository containing 468 studies from 598 species world‐wide, with a total of 5621 matrices, a similarly data‐rich and ecologically relevant resource for plant demography.