Results 261 to 270 of about 1,566,030 (299)

Species abundance distributions

Ecology Letters, 2007
Species abundance distributions (SADs) follow one of ecology's oldest and most universal laws - every community shows a hollow curve or hyperbolic shape on a histogram with many rare species and just a few common species. Here, we review theoretical, empirical and statistical developments in the study of SADs. Several key points emerge.
McGill, Brian J., Etienne, Rampal S., Gray, John S., Alonso, David, Anderson, Marti J., Benecha, Habtamu Kassa, Dornelas, Maria, Enquist, Brian J., Green, Jessica L., He, Fangliang, Hurlbert, Allen H., Magurran, Anne E., Marquet, Pablo A., Maurer, Brian A., Ostling, Annette, Soykan, Candan U., Ugland, Karl I., White, Ethan P.   +17 more
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Extrapolating Species Abundance Across Spatial Scales

Science, 1998
The analysis, measurement, and management of species abundance is central to ecology and conservation biology, but it has proved difficult to find a single index that adequately reflects the commonness or rarity of species across a range of spatial scales.
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Invariance in species-abundance distributions

Theoretical Ecology, 2008
Many attempts to explain the species-abundance distribution (SAD) assume that it has a universal functional form which applies to most assemblages. However, if such a form does exist, then it has to be invariant under changes in the area of the study plot (the addition of neighboring areas or subdivision of the original area) and changes in taxonomic ...
Arnošt L. Šizling, David Storch, Jiří Reif, Kevin J. Gaston   +3 more
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The form of species-abundance distributions

Journal of Theoretical Biology, 1980
Abstract Small, isolated communities in harsh environments are sometimes found to contain many, very rare species together with a few, extremely abundant ones. The species-abundance distribution (frequencies of species vs. abundance levels) drops rapidly from an initial peak to an elongated tail.
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On species occupancy-abundance models

Écoscience, 2002
One of the most pronounced generalizations in macroecology is the positive interspecific relationship between the distribution and abundance of species.
Fangliang He, Kevin Gaston, Jianguo Wu
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Species-Abundance Relation and Diversity

1984
The scenic affluence of nature is attributable to the fact that most ecological communities contain a rich variety of biological species with widely differing abundances. Ecologists long have been interested in the distribution of abundances of species within a given area.
Ei Teramoto, Nanako Shigesada, Kohkichi Kawasaki   +2 more
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Prioritize wild species abundance indicators

Science, 2023
Geldmann, Jonas, Byaruhanga, Achilles B., Gregory, Richard D., Visconti, Piero, Xu, Haigen   +4 more
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A statistical theory for sampling species abundances

Ecology Letters, 2007
AbstractThe pattern of species abundances is central to ecology. But direct measurements of species abundances at ecologically relevant scales are typically unfeasible. This limitation has motivated a long‐standing interest in the relationship between the abundance distribution in a large, regional community and the distribution observed in a small ...
Jessica L, Green, Joshua B, Plotkin
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Species-abundance distributions under colored environmental noise

Journal of Mathematical Biology, 2016
Natural communities at all spatiotemporal scales are subjected to a wide variety of environmental pressures, resulting in random changes in the demographic rates of species populations. Previous analyses have examined the effects of such environmental variance on the long-term growth rate and time to extinction of single populations, but studies of its
Fung, Tak, O'Dwyer, James P., Chisholm, Ryan A.   +2 more
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Species Abundance: Natural Regulation of Insular Variation

Science, 1963
Variation in numbers of land plant species on islands in the Galapagos Archipelago can be predicted on the basis of elevation, area of the adjacent island, distance from the nearest island, and distance from the center of the archipelago, but not on the basis of the area of the host island. Multiple linear regression (y = bx 1
T H, Hamilton, I, Rubinoff, R H, Barth, G L, Bush   +3 more
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