FUNCTIONAL DIVERSITY OF MAMMALIAN PREDATORS AND EXTINCTION IN ISLAND BIRDS

By T. Blackburn, Owen L. Petchey, P. Cassey, Kevin J. Gaston. 2005

88 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/aeabbc9a4f99e49987da759f6d43aafd0dcad5f7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Julie L. Lockwood
2. Michael P. Marchetti
3. A. Ricciardi
4. M. Hoopes
5. Julian D. Olden
6. K. Thompson
7. A. Askew
8. Owen L. Petchey

In Ecology, Evolution, Behavior and Systematics

1. Owen L. Petchey
2. K. Thompson
3. A. Askew
4. N. Dunnett
5. A. Willis
6. Takehiro Sasaki
7. Kevin J. Gaston
8. M. Akasaka

In Nature and Landscape Conservation

1. Julie L. Lockwood
2. Owen L. Petchey
3. K. Thompson
4. A. Askew
5. N. Dunnett
6. A. Willis
7. Takehiro Sasaki
8. Kevin J. Gaston

Citations in the corpus

• How functional is functional? Ecological groupings in terrestrial animal ecology: towards an animal functional type approach (2011, background): “However, when the considered species’ traits sum up to a high number of possible trait combinations, using indicator groups might not lead to a simplification and nothing is won (Blackburn et al. 2005).”
• Little evidence for limiting similarity in a long‐term study of a roadside plant community (2010, methodology): “UPGMA clustering was used as it most often led to the highest cophenetic correlation (Blackburn et al. 2005; Petchey &Gaston 2007; Petchey et al. 2007).”
• Progress toward understanding the ecological impacts of nonnative species (2013, background): “However, several studies of native bird and fish assemblages found little evidence that trophic position is a strong predictor of community- level impact (e.g., Marchetti et al. 2004a, Blackburn et al. 2005).”
• On dendrogram-based measures of functional diversity (2006, unknown): “Blackburn et al. (2005) also used this method for finding the best clustering strategy for calculating FD in mammal assemblages.”
• Functional diversity: back to basics and looking forward. (2006, background): “This correlation can be maximized by selecting the distance measure and clustering algorithm that minimizes the difference between trait distances and phenetic distances (Sokal & Sneath 1973; Blackburn et al. 2005).”
• Consequences of the introduction of exotic and translocated species and future extirpations on the functional diversity of freshwater fish assemblages (2013, background): “The response of FD to extirpation depends on whether each species is functionally unique or whether some degree of functional redundancy exists (Blackburn et al., 2005).”