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  • 1
    Publication Date: 2001-06-09
    Description: A computer simulation of North American end-Pleistocene human and large herbivore population dynamics correctly predicts the extinction or survival of 32 out of 41 prey species. Slow human population growth rates, random hunting, and low maximum hunting effort are assumed; additional parameters are based on published values. Predictions are close to observed values for overall extinction rates, human population densities, game consumption rates, and the temporal overlap of humans and extinct species. Results are robust to variation in unconstrained parameters. This fully mechanistic model accounts for megafaunal extinction without invoking climate change and secondary ecological effects.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Alroy, J -- New York, N.Y. -- Science. 2001 Jun 8;292(5523):1893-6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉National Center for Ecological Analysis and Synthesis, University of California, 735 State Street, Suite 300, Santa Barbara, CA 93101, USA. alroy@nceas.ucsb.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/11397940" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Body Constitution ; Climate ; *Computer Simulation ; *Ecosystem ; Human Activities ; Humans ; *Mammals ; North America ; *Paleontology ; Population Density ; Population Dynamics ; *Population Growth ; Time
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2006-05-13
    Description: Ecological interactions, such as predation and bioturbation, are thought to be fundamental determinants of macroevolutionary trends. A data set containing global occurrences of Phanerozoic fossils of benthic marine invertebrates shows escalatory trends in the relative frequency of ecological groups, such as carnivores and noncarnivorous infaunal or mobile organisms. Associations between these trends are either statistically insignificant or interpretable as preservational effects. Thus, there is no evidence that escalation drives macroecological trends at global and million-year time scales. We also find that taxonomic richness and occurrence data are cross-correlated, which justifies the traditional use of one as a proxy of the other.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Madin, Joshua S -- Alroy, John -- Aberhan, Martin -- Fursich, Franz T -- Kiessling, Wolfgang -- Kosnik, Matthew A -- Wagner, Peter J -- New York, N.Y. -- Science. 2006 May 12;312(5775):897-900.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉National Center for Ecological Analysis and Synthesis, University of California, Santa Barbara, CA 93101, USA. madin@nceas.ucsb.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/16690862" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Biodiversity ; *Biological Evolution ; Calcium Carbonate/analysis ; Databases, Factual ; *Ecosystem ; *Fossils ; *Invertebrates/classification/physiology ; Locomotion ; Predatory Behavior ; *Seawater ; Statistics as Topic
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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