2021
DOI: 10.1111/1365-2435.13882
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Concepts and applications in functional diversity

Abstract: This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as

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Cited by 141 publications
(148 citation statements)
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“…These often follow the Hutchinsonian niche concept (Hutchinson 1957), relying on the position of species or individuals within a multidimensional space. Among these, the convex hull hypervolume is one of the most used, despite some important limitations, such as the assumption that the multidimensional space is homogenously occupied, making it extremely sensitive to outliers (Mammola & Cardoso, 2021;Mammola et al, 2020). To overcome this limitation, new methods have used probabilistic hypervolumes (Blonder et al, 2018), of which the most popular uses high-dimensional kernel density estimations to delineate the shape and volume of the multidimensional space (Carvalho & Cardoso 2020;Mammola & Cardoso, 2021).…”
Section: Introductionmentioning
confidence: 99%
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“…These often follow the Hutchinsonian niche concept (Hutchinson 1957), relying on the position of species or individuals within a multidimensional space. Among these, the convex hull hypervolume is one of the most used, despite some important limitations, such as the assumption that the multidimensional space is homogenously occupied, making it extremely sensitive to outliers (Mammola & Cardoso, 2021;Mammola et al, 2020). To overcome this limitation, new methods have used probabilistic hypervolumes (Blonder et al, 2018), of which the most popular uses high-dimensional kernel density estimations to delineate the shape and volume of the multidimensional space (Carvalho & Cardoso 2020;Mammola & Cardoso, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…Among these, the convex hull hypervolume is one of the most used, despite some important limitations, such as the assumption that the multidimensional space is homogenously occupied, making it extremely sensitive to outliers (Mammola & Cardoso, 2021;Mammola et al, 2020). To overcome this limitation, new methods have used probabilistic hypervolumes (Blonder et al, 2018), of which the most popular uses high-dimensional kernel density estimations to delineate the shape and volume of the multidimensional space (Carvalho & Cardoso 2020;Mammola & Cardoso, 2021). Oceanic islands have long been used as living laboratories to understand ecological and evolutionary patterns and processes (Whittaker et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
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