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Basil V. Iannone

Researcher at University of Florida

Publications -  45
Citations -  1159

Basil V. Iannone is an academic researcher from University of Florida. The author has contributed to research in topics: Species richness & Ecosystem. The author has an hindex of 16, co-authored 43 publications receiving 827 citations. Previous affiliations of Basil V. Iannone include University of Illinois at Chicago & Purdue University.

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Global distribution of earthworm diversity

Helen Phillips, +145 more
- 25 Oct 2019 - 
TL;DR: It was found that local species richness and abundance typically peaked at higher latitudes, displaying patterns opposite to those observed in aboveground organisms, which suggest that climate change may have serious implications for earthworm communities and for the functions they provide.
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Automated content analysis: Addressing the big literature challenge in ecology and evolution

TL;DR: The goal is to introduce ecologists and evolutionary biologists to ACA and illustrate its capacity to synthesize overwhelming volumes of literature, and discuss how to maximize the utility and contributions of ACA.
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Exposure of Protected and Unprotected Forest to Plant Invasions in the Eastern United States

TL;DR: A macroscale assessment of the exposure of protected and unprotected forests to harmful invasive plants in the eastern United States shows any protection is better than none, and public ownership alone is as effective as some types of formal protection.
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Evaluating the evolution of forest restoration research in a changing world: a “big literature” review

TL;DR: In this article, the authors performed a review of all 29,766 abstracts published over the last 35 years (1980-2014) in 15 leading forestry journals using automated content analysis, a machine learning-based tool for automated review of large volumes of literature (big literature).
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A unified approach for quantifying invasibility and degree of invasion.

TL;DR: These proposed metrics clearly distinguish invasibility and DI from each other, which will help to (1) advance invasion ecology by allowing more robust testing of generalizations and (2) facilitate more effective invasive species control and management.