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John G. Lambrinos

Researcher at Oregon State University

Publications -  49
Citations -  4982

John G. Lambrinos is an academic researcher from Oregon State University. The author has contributed to research in topics: Species richness & Introduced species. The author has an hindex of 23, co-authored 47 publications receiving 4569 citations. Previous affiliations of John G. Lambrinos include University of California, Los Angeles & University of California, Davis.

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The spatial spread of invasions: new developments in theory and evidence

TL;DR: It is shown that invasive species spread is a much more complex process than the classical models suggested, as long range dispersal events can have a large influence on the rate of range expansion through time.
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Ecosystem engineering in space and time.

TL;DR: This work focuses on how temporal, spatial and organizational scales usefully inform the roles played by ecosystem engineers and their incorporation into broader ecological contexts.
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Productivity Is a Poor Predictor of Plant Species Richness

Peter B. Adler, +59 more
- 23 Sep 2011 - 
TL;DR: This article conducted a standardized sampling in 48 herbaceous-dominated plant communities on five continents and found no clear relationship between productivity and fine-scale (meters−2) richness within sites, within regions, or across the globe.
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Invasion in a heterogeneous world: resistance, coexistence or hostile takeover?

TL;DR: An environmental heterogeneity hypothesis of invasions is proposed, whereby heterogeneity both increases invasion success and reduces the impact to native species in the community, because it promotes invasion and coexistence mechanisms that are not possible in homogeneous environments.
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Using ecosystem engineers to restore ecological systems

TL;DR: A conceptual framework is presented that shows how consideration of ecosystem engineers can be used to assess the likelihood of restoration of a system to a desired state, the type of changes necessary for successful restoration and how restoration efforts can be most effectively partitioned between direct human intervention and natural ecosystem engineers.