Utility of a spatial habitat classification system as a surrogate of marine benthic community structure for the Australian margin

被引:15
作者
Przeslawski, Rachel [1 ]
Currie, David R. [2 ]
Sorokin, Shirley J. [2 ]
Ward, Tim M. [2 ]
Althaus, Franziska [3 ]
Williams, Alan [3 ]
机构
[1] Geosci Australia, Marine & Coastal Environm Grp, Canberra, ACT 2601, Australia
[2] S Australian Res & Dev Inst, Henley Beach, SA 5022, Australia
[3] CSIRO Wealth Oceans Flagship, Marine Labs, Hobart, Tas 7001, Australia
关键词
benthic invertebrates; continental margin; interpolation; seascapes; sponge; surrogacy; ASSEMBLAGES; DIVERSITY; DEPTH; SEA; BIODIVERSITY; EXPOSURE; DENSITY; GEOLOGY; BIGHT;
D O I
10.1093/icesjms/fsr106
中图分类号
S9 [水产、渔业];
学科分类号
0908 ;
摘要
This study tests whether a continental-scale classification of Australian benthic habitats (termed "seascapes") and the interpolated environmental data from which they are derived are useful as abiotic surrogates of biodiversity at a local [tens of kilometres, Great Australian Bight (GAB)] and regional scale [hundreds of kilometres, Western Australian (WA) margin]. Benthic invertebrate community structure is moderately associated with specific seascapes in both the GAB (R = 0.418) and WA margin (excluding hard substrata, R = 0.375; all substrata, R = 0.313). Mud content, seafloor slope, and seafloor temperature are significantly correlated with invertebrate communities at both scales, with disturbance and primary production correlated with GAB communities. Seascapes are not consistently useful surrogates because the strength and significance of relationships between seascapes and community structure differs among seascapes, regions, and spatial scales. Nevertheless, a national system of seascapes is an appropriate surrogate for broad-scale benthic invertebrate community patterns when biological data are limited, provided the uncertainty is acknowledged and, where possible, an assessment made of each seascape's ability to differentiate biological communities. Further refinement of seascape derivations may include updated and additional environmental data (particularly for hard vs. soft substrata) and validation among biological datasets from a range of habitats and scales.
引用
收藏
页码:1954 / 1962
页数:9
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