Smith, Thomas J. III, and Duke, Norman C. (1987) Physical determinants of inter-estuary variation in mangrove species richness around the tropical coastline of Australia. Journal of Biogeography, 14 (1). pp. 9-19.

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Abstract

The hypothesis that species richness in tropical, tidal (mangrove) forests in the eastern and western portions of the Australian continent is influenced by different suites of environmental parameters is investigated. Maximum and minimum temperatures were positively correlated with species richness in both regions. Increasing temperatures led to increases in species richness. Tidal amplitude is inversely related to species richness in the east and west. Estuary length, the size of the surrounding catchment, rainfall variation and the frequency of tropical cyclones have significant effects on species richness in eastern but not western mangrove forests. Estuaries which are long and have large catchments tend to have more species than those being shorter with smaller catchments. Although similarities do exist, there are important differences between eastern and western mangrove forests in the response of species richness to the environment.

Item ID:	48885
Item Type:	Article (Research - C1)
ISSN:	1365-2699
Keywords:	mangrove; plants; biogeography; distribution; cyclones; storms; effect; rainfall; Australia; IWP
Funders:	Australian Institute of Marine Science (AIMS), UNESCO
Date Deposited:	10 May 2017 01:15
FoR Codes:	06 BIOLOGICAL SCIENCES > 0603 Evolutionary Biology > 060302 Biogeography and Phylogeography @ 40% 05 ENVIRONMENTAL SCIENCES > 0501 Ecological Applications > 050102 Ecosystem Function @ 30% 05 ENVIRONMENTAL SCIENCES > 0502 Environmental Science and Management > 050202 Conservation and Biodiversity @ 30%
SEO Codes:	97 EXPANDING KNOWLEDGE > 970106 Expanding Knowledge in the Biological Sciences @ 30% 96 ENVIRONMENT > 9608 Flora, Fauna and Biodiversity > 960802 Coastal and Estuarine Flora, Fauna and Biodiversity @ 40% 96 ENVIRONMENT > 9603 Climate and Climate Change > 960305 Ecosystem Adaptation to Climate Change @ 30%
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