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

被引:204
作者
Kueffer, Christoph [1 ]
Pysek, Petr [2 ,3 ]
Richardson, David M. [4 ]
机构
[1] Swiss Fed Inst Technol, Inst Integrat Biol Plant Ecol, CH-8092 Zurich, Switzerland
[2] Acad Sci Czech Republ, Inst Bot, Dept Invas Ecol, CZ-25243 Pruhonice, Czech Republic
[3] Charles Univ Prague, Fac Sci, Dept Ecol, CZ-12844 Prague, Czech Republic
[4] Univ Stellenbosch, Dept Bot & Zool, Ctr Invas Biol, ZA-7602 Matieland, South Africa
基金
新加坡国家研究基金会;
关键词
alien plants; invasibility; invasion syndrome; invasiveness; long-term research; meta-analysis; model organism; non-native plants; ALIEN PLANT INVASIONS; TERM ECOLOGICAL RESEARCH; ENEMY RELEASE; RESIDENCE TIME; CONCEPTUAL FRAMEWORKS; RESOURCE AVAILABILITY; BIOLOGICAL INVASIONS; PURPLE LOOSESTRIFE; LYTHRUM-SALICARIA; NATIVE PLANTS;
D O I
10.1111/nph.12415
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
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.
引用
收藏
页码:615 / 633
页数:19
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