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Life History Strategies Drive Meso‐Scale Distribution Patterns in Coastal Benthic Macroinvertebrates
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Life History Strategies Drive Meso‐Scale Distribution Patterns in Coastal Benthic Macroinvertebrates
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Life History Strategies Drive Meso‐Scale Distribution Patterns in Coastal Benthic Macroinvertebrates
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Journal Article
Life History Strategies Drive Meso‐Scale Distribution Patterns in Coastal Benthic Macroinvertebrates
2024
Overview
The environment shapes the spatial distribution of species, but species also comprise suites of traits which may indicate their adaptability to a specific environment. This forms the basis of trait biogeography studies. We thus examined how a species distribution is not only influenced by its environment and traits, but by interactions among its traits. Trait information was collected for 150 intertidal macroinvertebrates along a 3000 km environmental and biogeographic gradient on the South African coast. This information was analysed, as functional entities (FEs) were species performing similar functions that have the same trait values and were further condensed into two trait domains (Reproduction and Lifestyle). We then defined Life History Strategies (LHS) as specific combinations of Lifestyle and Reproduction FEs. Seven combinations of Lifestyle and Reproduction formed LHS that dominated total biomass. Some of these LHS were ubiquitous, while others showed geographic patterns across our west‐east environmental gradient. For Lifestyle, filter‐feeders exhibited high abundances on the East (subtropical, oligotrophic) and West (cool‐temperate, eutrophic) extremes of the biogeographic gradient, but differed between the two in size at reproductive maturity and larval development type. This similarity in functionality of feeding mechanism and mobility with different reproductive strategies suggests a trait trade–off (investment in one trait reduces resources for others) between the Reproduction and Lifestyle domains. Within the Reproduction domain, gonochoristic, annual planktotrophic reproduction was common across bioregions, reflecting spin‐offs (investment in one trait facilitates another trait) among these traits. Gonochoristic investment in less frequent episodic reproduction is another trade‐off, with investment in large size and delayed maturation being a trade–off for many reproductive cycles. Overall, although our data supports the habitat templet model (i.e., the importance of environmental drivers), it further indicates that species distribution patterns observed along the South African coast reflect strong trait interactions and biomass patterns related to their LHS. The environment shapes the spatial distribution of species, but species comprise suites of traits which may indicate their adaptability to the specific environment. We examined how the distribution of a species is influenced not only by its combination of traits, or Life History Strategy but also by interactions among its traits. Overall, although our data supports the habitat templet model (i.e., the importance of environmental drivers), it also indicates that species distribution patterns observed along the South African coast reflect strong trait interactions and biomass patterns related to their Life History Strategies.
