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Shaping the Latitudinal Diversity Gradient: New Perspectives from a Synthesis of Paleobiology and Biogeography

生物地理学 生态学 温带气候 分类单元 消光(光学矿物学) 纬度 多样性(政治) 宏观生态学 热带 生物 地理 古生物学 人类学 大地测量学 社会学
作者
David Jablonski,Shan Huang,Kaustuv Roy,James W. Valentine
出处
期刊:The American Naturalist [University of Chicago Press]
卷期号:189 (1): 1-12 被引量:146
标识
DOI:10.1086/689739
摘要

An impediment to understanding the origin and dynamics of the latitudinal diversity gradient (LDG)—the most pervasive large-scale biotic pattern on Earth—has been the tendency to focus narrowly on a single causal factor when a more synthetic, integrative approach is needed. Using marine bivalves as a model system and drawing on other systems where possible, we review paleobiologic and biogeographic support for two supposedly opposing views, that the LDG is shaped primarily by (a) local environmental factors that determine the number of species and higher taxa at a given latitude (in situ hypotheses) or (b) the entry of lineages arising elsewhere into a focal region (spatial dynamics hypotheses). Support for in situ hypotheses includes the fit of present-day diversity trends in many clades to such environmental factors as temperature and the correlation of extinction intensities in Pliocene bivalve faunas with net regional temperature changes. Support for spatial dynamics hypotheses includes the age-frequency distribution of bivalve genera across latitudes, which is consistent with an out-of-the-tropics dynamic, as are the higher species diversities in temperate southeastern Australia and southeastern Japan than in the tropical Caribbean. Thus, both in situ and spatial dynamics processes must shape the bivalve LDG and are likely to operate in other groups as well. The relative strengths of the two processes may differ among groups showing similar LDGs, but dissecting their effects will require improved methods of integrating fossil data with molecular phylogenies. We highlight several potential research directions and argue that many of the most dramatic biotic patterns, past and present, are likely to have been generated by diverse, mutually reinforcing drivers.
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