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Global diversity patterns and cross-taxa convergence in freshwater systems
- Source :
- Journal of Animal Ecology, The journal of animal ecology
- Publication Year :
- 2013
-
Abstract
- Whereas global patterns and predictors of species diversity are well known for numerous terrestrial taxa, our understanding of freshwater diversity patterns and their predictors is much more limited. Here, we examine spatial concordance in global diversity patterns for five freshwater taxa (i.e. aquatic mammals, aquatic birds, fishes, crayfish and aquatic amphibians) and investigate the environmental factors driving these patterns at the river drainage basin grain. We find that species richness and endemism patterns are significantly correlated among taxa. We also show that cross-taxon congruence patterns are often induced by common responses of taxa to their contemporary and historical environments (i.e. convergent patterns). Apart from some taxa distinctiveness (i.e. fishes), the climate/productivity hypothesis is found to explain the greatest variance in species richness and endemism patterns, followed by factors related to the history/dispersion and area/environmental heterogeneity hypotheses. As aquatic amphibians display the highest levels of congruency with other taxa, this taxon appears to be a good surrogate candidate for developing global freshwater conservation planning at the river drainage basin grain.
- Subjects :
- 0106 biological sciences
Biology
Structural basin
010603 evolutionary biology
01 natural sciences
Models, Biological
Rivers
Species Specificity
Animals
mammals
14. Life underwater
species richness
Endemism
freshwater
Ecology, Evolution, Behavior and Systematics
Demography
fish
amphibians
crayfish
Ecology
endemicity
010604 marine biology & hydrobiology
congruence
Species diversity
Biodiversity
15. Life on land
Crayfish
Chemistry
Taxon
Productivity (ecology)
13. Climate action
birds
global scale
Animal Science and Zoology
Convergence (relationship)
Species richness
Environmental Monitoring
Subjects
Details
- ISSN :
- 00218790
- Database :
- OpenAIRE
- Journal :
- Journal of Animal Ecology, The journal of animal ecology
- Accession number :
- edsair.doi.dedup.....11575e0599d407c960465ab4b2568114