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Title: Biological model of diversification and the biogeography of endemism

Abstract

Endemic taxa have restricted geographical distributions in some relative sense. This may arise via vicariant range fragmentation affecting entire biotas, or by dispersal and ecological specialization affecting individual species. Endemics arising because of vicariance will tend to show concordant, overlapping distributions, while endemics arising because of dispersal will be largely independently distributed. As a result, the extent to which a biota has experienced vicariant events should be manifest by geographical concentrations of endemic taxa. The evidence adduced in favor of this hypothesis is that the geographical distributions of endemic taxa are unusually concordant. The authors present a test of this hypothesis using the biogeographies of species and subspecies of birds distributed across the lowlands of northern South America. Their results indicate that the distributions of extant endemics is consistent with a major role for vicariant speciation within the Amazon basin. This approach to assessing the role of vicariance in speciation and biogeography is more robust than cladistic analyses because it is insensitive to variation in rates of evolution.

Authors:
;
Publication Date:
Research Org.:
Univ. of Virginia, Clark Hall (USA)
OSTI Identifier:
6614301
Report Number(s):
CONF-8510489-
Journal ID: CODEN: GAAPB
Resource Type:
Conference
Journal Name:
Geol. Soc. Am., Abstr. Programs; (United States)
Additional Journal Information:
Journal Volume: 17; Conference: 98. annual meeting of the Geological Society of America, Orlando, FL, USA, 28 Oct 1985
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; 59 BASIC BIOLOGICAL SCIENCES; BIRDS; GEOGRAPHICAL VARIATIONS; SPECIES DIVERSITY; BIOLOGICAL MODELS; AMAZON RIVER; BIOLOGICAL EVOLUTION; ECOLOGY; GEOGRAPHY; PALEOCLIMATOLOGY; PLEISTOCENE EPOCH; POPULATIONS; SOUTH AMERICA; ANIMALS; CENOZOIC ERA; GEOLOGIC AGES; LATIN AMERICA; PALEONTOLOGY; QUATERNARY PERIOD; RIVERS; STREAMS; SURFACE WATERS; VARIATIONS; VERTEBRATES; 580100* - Geology & Hydrology- (-1989); 550100 - Behavioral Biology

Citation Formats

Connor, E F, and McKenney, M S. Biological model of diversification and the biogeography of endemism. United States: N. p., 1985. Web.
Connor, E F, & McKenney, M S. Biological model of diversification and the biogeography of endemism. United States.
Connor, E F, and McKenney, M S. Tue . "Biological model of diversification and the biogeography of endemism". United States.
@article{osti_6614301,
title = {Biological model of diversification and the biogeography of endemism},
author = {Connor, E F and McKenney, M S},
abstractNote = {Endemic taxa have restricted geographical distributions in some relative sense. This may arise via vicariant range fragmentation affecting entire biotas, or by dispersal and ecological specialization affecting individual species. Endemics arising because of vicariance will tend to show concordant, overlapping distributions, while endemics arising because of dispersal will be largely independently distributed. As a result, the extent to which a biota has experienced vicariant events should be manifest by geographical concentrations of endemic taxa. The evidence adduced in favor of this hypothesis is that the geographical distributions of endemic taxa are unusually concordant. The authors present a test of this hypothesis using the biogeographies of species and subspecies of birds distributed across the lowlands of northern South America. Their results indicate that the distributions of extant endemics is consistent with a major role for vicariant speciation within the Amazon basin. This approach to assessing the role of vicariance in speciation and biogeography is more robust than cladistic analyses because it is insensitive to variation in rates of evolution.},
doi = {},
url = {https://www.osti.gov/biblio/6614301}, journal = {Geol. Soc. Am., Abstr. Programs; (United States)},
number = ,
volume = 17,
place = {United States},
year = {1985},
month = {1}
}

Conference:
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