13.4 Paleobiogeographic patterns and their ecological implications
3 min read•august 7, 2024
Paleobiogeographic patterns reveal how species distributions change over time and space. These patterns, like latitudinal diversity gradients and , help us understand past ecosystems and species movements.
Studying temporal changes in species distributions, including and , gives insights into how organisms responded to environmental shifts. This knowledge is crucial for predicting future biodiversity patterns and conservation planning.
Spatial Patterns in Paleobiogeography
Latitudinal Diversity Gradient and Biogeographic Provinces
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describes the trend of decreasing species richness from the equator to the poles
Caused by factors such as higher energy availability, reduced seasonality, and greater habitat diversity in the tropics
Observed in both modern and fossil ecosystems (, )
Biogeographic provinces are distinct geographic regions with unique assemblages of species
Provinces are shaped by physical barriers, environmental conditions, and evolutionary history
Examples include the Indo-Pacific, Eastern Pacific, and Western Atlantic marine provinces
Provinces can change over geological time due to tectonic events, climate shifts, and biotic interactions
Patterns of Species Distributions
occur when a species has a wide geographic range spanning multiple biogeographic provinces
Often associated with species that have high dispersal abilities or broad environmental tolerances
Examples include some species of , , and
are characterized by species occurring in tropical regions across different continents or ocean basins
Reflects the similarity of environmental conditions in tropical areas and the ability of some species to disperse across long distances
Pantropical distributions are observed in various marine and terrestrial taxa (, )
involve species occurring in both the Arctic and Antarctic regions, but not in the intervening temperate or tropical zones
May result from dispersal events during colder climatic periods or vicariance due to the breakup of ancient landmasses
Examples of bipolar distributions include certain species of marine invertebrates and seaweeds
Temporal Changes in Species Distributions
Refugia and Range Dynamics
Refugia are areas where species persist during periods of unfavorable environmental conditions, such as glaciations or droughts
Act as sources for recolonization when conditions improve
Identification of refugia is important for understanding the biogeographic history of species and their genetic diversity
Range expansions and contractions refer to changes in the geographic extent of a species over time
Range expansions can occur during periods of favorable climate or following the removal of dispersal barriers
Range contractions may result from environmental deterioration, competition, or other biotic interactions
Studying range dynamics helps reconstruct the biogeographic history of species and their responses to past environmental changes
Paleoendemism
refers to the occurrence of ancient or relict species with restricted geographic ranges
Paleoendemic species often have limited dispersal abilities and may be confined to specific habitats or regions
Examples include the in Australia and the in China
Paleoendemic species provide insights into the evolutionary and biogeographic history of a region and may require conservation efforts due to their limited distributions
Analytical Approaches
Paleobiogeographic Reconstruction Methods
Paleobiogeographic reconstruction methods aim to infer the biogeographic history of species and ecosystems based on
(PAE) identifies areas of endemism by minimizing the number of dispersal and extinction events required to explain the observed distribution patterns
(BPA) reconstructs the biogeographic history of species by mapping their phylogenetic relationships onto geographic areas
methods, such as (DIVA) and the , estimate the most likely ancestral ranges of species based on their current distributions and evolutionary relationships
Integration of fossil data, phylogenetic information, and geological history is crucial for accurate paleobiogeographic reconstructions
Advances in computational methods and the increasing availability of large-scale datasets have enhanced our ability to study paleobiogeographic patterns and processes