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Temporal and fine-scale variation in the biogeochemistry of Jervis Bay

Temporal and fine-scale variation in the biogeochemistry of Jervis Bay

Temporal and fine-scale variation in the biogeochemistry of Jervis Bay

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CERF Mar<strong>in</strong>e Biodiversity Hub <strong>Jervis</strong> <strong>Bay</strong> Survey Report, February 2009map patterns <strong>of</strong> biodiversity through <strong>the</strong> use <strong>of</strong> physical surrogates, wherebyenvironmental variables are used to predict patterns <strong>of</strong> mar<strong>in</strong>e biodiversity.Field surveys are currently be<strong>in</strong>g undertaken <strong>in</strong> <strong>the</strong> Surrogates Program <strong>of</strong> <strong>the</strong> CERFMar<strong>in</strong>e Biodiversity Hub to provide data that will enable a range <strong>of</strong> physical factors to betested as useful proxies for mar<strong>in</strong>e benthic biodiversity. In <strong>the</strong> context <strong>of</strong> this program,<strong>Jervis</strong> <strong>Bay</strong> has been selected to test surrogates for <strong>the</strong> distribution <strong>of</strong> s<strong>of</strong>t-sediment benthicspecies <strong>and</strong> communities. The ma<strong>in</strong> datasets be<strong>in</strong>g collected are multibeam sonarbathymetry, sediment samples, oceanographic measurements, <strong>in</strong>fauna samples <strong>and</strong> towedunderwater video (Anderson et al. 2009).Environmental variables can affect <strong>in</strong>vertebrate abundance <strong>and</strong> species richness (Radke etal. 2003), although <strong>the</strong> strength <strong>of</strong> such effects will be species-specific <strong>and</strong> vary acrossfeed<strong>in</strong>g modes <strong>and</strong> habitat requirements. Compared to epibenthic <strong>in</strong>vertebrates <strong>and</strong>demersal fish, <strong>in</strong>faunal <strong>in</strong>vertebrates are most likely to be strongly related to benthicfactors such as sediment gra<strong>in</strong> size <strong>and</strong> organic content, because <strong>the</strong>y are directly exposedto <strong>the</strong>se factors via burrow<strong>in</strong>g <strong>and</strong> feed<strong>in</strong>g.Surveys designed to <strong>in</strong>vestigate appropriate surrogates normally make a trade-<strong>of</strong>f <strong>in</strong> <strong>the</strong>irsampl<strong>in</strong>g plan between overall spatial coverage <strong>and</strong> replication. Larger spatial coverage<strong>of</strong>ten means less replication or <strong>f<strong>in</strong>e</strong>-<strong>scale</strong> sampl<strong>in</strong>g. F<strong>in</strong>e-<strong>scale</strong> sampl<strong>in</strong>g may beparticularly important <strong>in</strong> heterogeneous habitats <strong>and</strong> communities, where a s<strong>in</strong>gle sampleis unable to encompass <strong>the</strong> <strong>variation</strong> at that station <strong>and</strong> is <strong>the</strong>refore not representative(Archambault & Bourget 1996, Wahl 2001). S<strong>of</strong>t sediment habitats are <strong>of</strong>ten consideredhomogenous habitats because <strong>the</strong>y appear this way us<strong>in</strong>g common sampl<strong>in</strong>g methods thatonly focus on <strong>the</strong> seabed surface (e.g. video, multibeam, epibenthic sleds). However, s<strong>of</strong>tsedimenthabitats can also be heterogeneous, with organic enrichment, oxygenation, <strong>and</strong>gra<strong>in</strong> size sometimes vary<strong>in</strong>g across meters or less (Kelaher & Lev<strong>in</strong>ton 2003, Wodarska-Kowaczuk & Weslawski 2008). Indeed, a study <strong>of</strong> <strong>in</strong>faunal assemblages <strong>in</strong> <strong>Jervis</strong> <strong>Bay</strong>showed high levels <strong>of</strong> heterogeneity at <strong>f<strong>in</strong>e</strong> <strong>scale</strong>s, with assemblages vary<strong>in</strong>g greatlyamong replicates (Hutch<strong>in</strong>gs & Jacoby 1994). It is unknown if all s<strong>of</strong>t sediment habitats<strong>in</strong> <strong>Jervis</strong> <strong>Bay</strong> show this level <strong>of</strong> heterogeneity or if abiotic factors similarly vary across<strong>f<strong>in</strong>e</strong> spatial <strong>scale</strong>s. None<strong>the</strong>less, it is generally accepted that <strong>variation</strong> is greater acrosslarger spatial <strong>scale</strong>s (hundreds <strong>of</strong> meters) than <strong>f<strong>in</strong>e</strong>r spatial <strong>scale</strong>s (tens <strong>of</strong> meters), likelydue to differences <strong>in</strong> habitat types.The physical data upon which surrogacy research relies is <strong>of</strong>ten pooled from multipletimes, sometimes spann<strong>in</strong>g several seasons. Abiotic factors such as temperature, organicloads, <strong>and</strong> light attenuation vary across seasons (Holloway 1995, Przeslawski & Davis2007); <strong>and</strong> identification <strong>of</strong> <strong>the</strong>se factors as potential surrogates may <strong>the</strong>refore beh<strong>in</strong>dered if sampl<strong>in</strong>g times are pooled across weeks, months, or seasons.Although spatial <strong>and</strong> temporal <strong>variation</strong> have been well-studied <strong>in</strong> seagrass <strong>and</strong> fishcommunities <strong>of</strong> <strong>Jervis</strong> <strong>Bay</strong> (Hutch<strong>in</strong>gs & Jacoby 1994, Jacoby et al. 1995a), <strong>the</strong>re havebeen comparatively few similar studies on <strong>in</strong>vertebrate assemblages <strong>in</strong> deeper waters(Hutch<strong>in</strong>gs & Jacoby 1994) <strong>and</strong> none on spatio-temporal <strong>variation</strong> <strong>of</strong> seafloorgeochemistry <strong>and</strong> <strong>biogeochemistry</strong>.2

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