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Ecological comparisons between Eastern Asia and North America: historical and geographical perspectives
Author(s) -
Guo Qinfeng
Publication year - 1999
Publication title -
journal of biogeography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.7
H-Index - 158
eISSN - 1365-2699
pISSN - 0305-0270
DOI - 10.1046/j.1365-2699.1999.00290.x
Subject(s) - biogeography , ecology , geography , biodiversity , endemism , floristics , vegetation (pathology) , taxon , biology , medicine , pathology
Summary The close floristic affinities between eastern Asia and North America have long been recognized and intensively studied, however, the ecological and biogeographical consequences of such a floristic relationship between these two remotely separated regions has been largely neglected until recently. Quantitative investigations of such relationships could greatly improve our understanding of many global and historical aspects of species diversity, vegetation dynamics, and biogeography, especially with the rapid developments of cladistic methods of phylogenetic reconstruction. All comparisons and predictions will depend on understanding past and present physical and biological processes (i.e. geological history of the continents and the evolutionary history of organisms), as well as human impacts in both regions. Both species level (life history characteristics, distribution, ecological functions) and community level (species composition, structure, endemism) variables should be investigated. Comparisons should be conducted spatially across vegetation zones and temporally through geological episodes. Emphases on the phylogeny and geological history of component taxa by analysing and synthesizing multidisciplinary data would be helpful, especially with regard to the current trends in global climate change. Diversity measured on different scales (i.e. α‐, β, and g‐diversity) could provide invaluable information about local‐regional relationships and their ecological implications in continental or even global biodiversity patterns.

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