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Integrative invasion science: model systems, multi‐site studies, focused meta‐analysis and invasion syndromes
Author(s) -
Kueffer Christoph,
Pyšek Petr,
Richardson David M.
Publication year - 2013
Publication title -
new phytologist
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.742
H-Index - 244
eISSN - 1469-8137
pISSN - 0028-646X
DOI - 10.1111/nph.12415
Subject(s) - context (archaeology) , generality , predictive power , ecology , data science , computer science , suite , management science , biology , epistemology , political science , psychology , engineering , paleontology , philosophy , law , psychotherapist
Summary Invasion science is a very active subdiscipline of ecology. However, some scientists contend that theoretical integration has been limited and that predictive power remains weak. This paper, focusing on plants, proposes a new multi‐pronged research strategy that builds on recent advances in invasion science. More intensive studies on particular model organisms and ecosystems are needed to improve our understanding of the full suite of interacting factors that influence invasions (‘model system research’). At the same time, comparative studies across many study systems are essential for unravelling the context‐dependencies of insights that emerge from particular studies (‘multi‐site studies’); and quantitative synthesis based on large datasets should be constrained to well‐defined theoretical domains (‘focused meta‐analysis’). We also suggest ways for better integration of information about species biology and ecosystem characteristics (‘invasion syndromes’). We expect that a resulting theory of invasions will need to be conceived as a somewhat heterogeneous conglomerate of elements of varying generality and predictive power: laws that apply to well‐specified domains, general concepts and theoretical frameworks that can guide thinking in research and management, and in‐depth knowledge about the drivers of particular invasions.ContentsSummary 615 I. Introduction 615 II. A framework for an integrative invasion science 616 III. Model systems: accounting for the complexity of invasions 618 IV. Multi‐site studies: evaluating context‐dependencies 622 V. Focused meta‐analysis: improving prediction through fine‐tuning synthesis 625 VI. Invasion syndromes: advancing theoretical integration 627 VII. Conclusions 628Acknowledgements 628References 628

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