Benthic habitat mapping: A review of progress towards improved understanding of the spatial ecology of the seafloor using acoustic techniques

被引:469
作者
Brown, Craig J. [1 ,2 ]
Smith, Stephen J. [1 ]
Lawton, Peter [3 ]
Anderson, John T. [4 ]
机构
[1] Fisheries & Oceans Canada, Bedford Inst Oceanog, Dartmouth, NS B2Y 4A2, Canada
[2] Canadian Hydrog Serv, Bedford Inst Oceanog, Dartmouth, NS B2Y 4A2, Canada
[3] Fisheries & Oceans Canada, St Andrews Biol Stn, St Andrews, NB E5B 2L9, Canada
[4] Fisheries & Oceans Canada, NW Atlantic Fisheries Ctr, St John, NF A1C 5X1, Canada
关键词
side scan sonar; multi-beam sonar; single-beam sonar; classification; remote sensing; community; PREDICTING SUITABLE HABITAT; EASTERN ENGLISH-CHANNEL; GROUND-DISCRIMINATION SYSTEM; IMAGE-BASED CLASSIFICATION; NATIONAL MARINE SANCTUARY; SIDESCAN SONAR IMAGERY; PERTUSA CORAL-REEFS; MULTIBEAM SONAR; SCOTIAN SHELF; WEST-COAST;
D O I
10.1016/j.ecss.2011.02.007
中图分类号
Q17 [水生生物学];
学科分类号
071004 ;
摘要
This review examines the various strategies and methods used to produce benthic habitat maps using acoustic remote sensing techniques, coupled with in situ sampling. The applications of three acoustic survey techniques are examined in detail: single-beam acoustic ground discrimination systems, sidescan sonar systems, and multi-beam echo sounders. Over the past decade we have witnessed the nascence of the field of benthic habitat mapping and, on the evidence of the literature reviewed in this paper, have seen a rapid evolution in the level of sophistication in our ability to image and thus map seafloor habitats. As acoustic survey tools have become ever more complex, new methods have been tested to segment, classify and combine these data with biological ground truth sample data. Although the specific methods used to derive habitat maps vary considerably, the review indicates that studies can generally be categorized into one of three over-arching strategies; 1) Abiotic surrogate mapping; 2) Assemble first, predict later (unsupervised classification); 3) Predict first, assemble later (supervised classification). Whilst there is still no widely accepted agreement on the best way to produce benthic habitat maps, all three strategies provide valuable map resources to support management objectives. Whilst there is still considerable work to be done before we can answer many of the outstanding technological, methodological, ecological and theoretical questions that have been raised here, the review concludes that the advent of spatial ecological studies founded on high-resolution environmental data sets will undoubtedly help us to examine patterns in community and species distributions. This is a vital first step in unraveling ecological complexities and thus providing improved spatial information for management of marine systems. Crown Copyright (C) 2011 Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:502 / 520
页数:19
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