The Species-Area Relationship

By E. Connor, E. McCoy. 2001

118 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/bd9847771565943c0a51937cb5ea7c83bf2b09d4

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In Ecological Modeling

In Ecology

In Nature and Landscape Conservation

Citations in the corpus

Anthropogenic modulators of species–area relationships in Neotropical primates: a continental‐scale analysis of fragmented forest landscapes (2013, background): “This typically positive area effect can be attributed to a greater habitat diversity; larger pools of trophic and/or structural resources; and larger populations, all of which can operate independently to reduce local extinction rates (Connor & McCoy, 2001).”
Which function describes the species–area relationship best? A review and empirical evaluation (2009, background): “…identifying biodiversity hotspots (e.g. Veech, 2000; Fattorini, 2007), for optimal reserve planning (e.g. Desmet & Cowling, 2004), for predicting species loss after habitat loss (e.g. Connor & McCoy, 2001; Ulrich, 2005) and for assessing human impacts on biodiversity (e.g. Tittensor et al., 2007).”
Forecasting the Effects of Global Warming on Biodiversity (2007, background): “Rosenzweig (1995) and Connor and McCoy (2001) summarize a variety of evidence suggesting that the primary, though not the only, cause of increases in species with increased area is that larger areas tend to have a greater variety of habitats, and thus a greater variety of niche opportunities.”
Habitat complexity and community composition: relationships between different ecosystem engineers and the associated macroinvertebrate assemblages (2011, background): “The underlying hypothesis is that a greater amount of structure will provide more resources, habitats and niches (Connor and McCoy 2001).”
The species–accumulation curve and estimation of species richness (2003, methodology): “…whether the species-area relationship is, following Arrhenius 1921), a log-log relationship or a semilog relationship as proposed by Gleason (1922) (see Williams 1964; McGuiness 1984; Rosenzweig 1995; Connor & McCoy 1979, 2001 Martin 1981; and Gotelli & Colwell 2001 for discussions of this issue).”