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Integrative invasion science: model systems, multi‐site studies, focused meta‐analysis and invasion syndromes

Authors: Kueffer, C.; Pysek, P.; Richardson, D.M.;

Integrative invasion science: model systems, multi‐site studies, focused meta‐analysis and invasion syndromes

Abstract

SummaryInvasion 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.ContentsSummary615I.Introduction615II.A framework for an integrative invasion science616III.Model systems: accounting for the complexity of invasions618IV.Multi‐site studies: evaluating context‐dependencies622V.Focused meta‐analysis: improving prediction through fine‐tuning synthesis625VI.Invasion syndromes: advancing theoretical integration627VII.Conclusions628Acknowledgements628References628

Country
South Africa
Keywords

570, environment assessment, Alien plants, invasiveness, 610, Models, Biological, invasive species, Chapter 1, long-term research, IPBES, Biological invasions, invasion syndrome, non-native plants, Alien Invasive Species Assessment AIS, model organism, Ecosystem, biodiversity, Ecology, alien plants, Plants, meta-analysis, Introduced Species, invasibility

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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
233
Top 1%
Top 10%
Top 1%
bronze