A hierarchical framework for integrating invasibility experiments incorporating different factors and spatial scales

By A. Milbau, J C Stout, B. Graae, I. Nijs. Biological Invasions, 2009

114 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/41848e91412b3a21bf2d0b0bb9bd7a17a6b9e2e6

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In Ecological Modeling

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

Identifying hotspots for plant invasions and forecasting focal points of further spread (2009, background): “2009), nor during all phases of the invasion process (Milbau & Stout 2008; Milbau et al. 2009).”
Quantifying levels of biological invasion: towards the objective classification of invaded and invasible ecosystems (2011, background): “Invasibility is defined as the vulnerability of a habitat and the associated biological community to invasion (Alpert et al., 2000; Davis et al., 2000; Milbau et al., 2009).”
Plant invasions in the landscape (2011, background): “Factors affecting ecosystem vulnerability to invasions could be considered hierarchically, from the regional scale to the micro-site scale (Milbau et al. 2009).”
Plant invasions are context‐dependent: multiscale effects of climate, human activity and habitat (2014, background): “Climate, topography and human activity at regional level might drive invasion variability at large scales while local variability may be determined by changes in biotic interactions, disturbance or microclimate which are highly associated with habitat type (Milbau et al., 2009).”
Predicting species distribution and abundance responses to climate change: why it is essential to include biotic interactions across trophic levels (2010, background): “At a continental scale, climate is strongly determining which species can occur where (Field et al. 2009), and this also applies to exotic species when invading a new range (Milbau et al. 2009).”