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  <title><![CDATA[Prof. Mark Hay - Loss of detritivores and increases in bad-bugs on coral reefs?]]></title>
  <body><![CDATA[<p>&quot;Ecologists have long debated the importance of top-down (the effects of consumers) versus bottom-up (nutrients and productivity) forces in structuring populations and communities. &nbsp;There are numerous demonstrations of removing top consumers (wolves, sea otters, etc.) and the dramatic cascading effects on natural communities. Effects of removing lower trophic levels are relatively uninvestigated. &nbsp;Here, we ask about the potential effects of removing a major class of detritivores from coral reefs and the possible roles of microbes in mediating the effects we demonstrate. &nbsp;During recent decades, reefs have lost 50-90% of their live coral cover world-wide. &nbsp;There are many drivers of the loss (overfishing, global warming, pollution, disease, etc.), but how these stressors may interact with low-level trophic alterations of reef communities has not been addressed. Over the past 200+ years, many thousands of tons of dried sea cucumbers have been removed from tropical coastal systems; these once abundant animals are now rare. The impacts of removing these detritivores is unknown (think of them as previously abundant vacuum cleaners on coral reefs). &nbsp;In field experiments, we show that i) corals in areas with sea cucumbers produce extracts that are more suppressive of a common coral pathogen (<em>Vibrio coralliilyticus</em>) than corals where sea cucumbers have been excluded, ii) that corals without co-occurring sea cucumbers are more commonly killed by an apparent sediment-associated pathogen than corals with sea cucumbers, and iii) that damelfish that culture algal gardens on coral bases protect corals from these sediment-associated pathogens. &nbsp;We are presently investigating the dynamics of coral microbiomes in these different treatments and in various stages of infection in hopes of identifying the pathogen(s) involved.&quot;&nbsp;<br />
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      <value><![CDATA[2020-10-16T16:00:00-04:00]]></value>
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      <value><![CDATA[<p>&nbsp;</p>

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