Modelling of essential fish habitat based on remote sensing, spatial analysis and GIS

被引:144
作者
Valavanis, Vasilis D. [1 ]
Pierce, Graham J. [2 ,5 ]
Zuur, Alain F. [3 ]
Palialexis, Andreas [1 ]
Saveliev, Anatoly [4 ]
Katara, Isidora [5 ]
Wang, Jianjun [5 ]
机构
[1] Hellen Ctr Marine Res, Inst Marine Biol Resources, Marine GIS Lab, Thalassocosmos 71003, Heraklion Crete, Greece
[2] Inst Espanol Oceanog, Ctr Oceanog Vigo, Vigo 36200, Spain
[3] Highland Stat Ltd, Newburgh AB41 6FN, Scotland
[4] Kazan VI Lenin State Univ, Fac Geog & Ecol, Kazan 420008, Russia
[5] Univ Aberdeen, Sch Biol Sci Zool, Aberdeen AB24 2TX, Scotland
关键词
marine species; statistical modelling; fisheries; environment; ecology;
D O I
10.1007/s10750-008-9493-y
中图分类号
Q17 [水生生物学];
学科分类号
071004 ;
摘要
We review the variety of existing modelling approaches applied to species habitat mapping and we discuss issues arising from the availability and nature of sampled biological data and corresponding ecological and environmental habitat descriptors, as well as the different spatial analysis approaches that are selected according to specific hypotheses. We focus on marine species habitat mapping, presenting an overview of work on modelling fish habitat carried out through a European Communities Policy-Support Action, EnviEFH 'Environmental Approach to Essential Fish Habitat (EFH) Designation' (2005-2008). The selection of the appropriate habitat model is dataset-specific and the resulting EFH maps are often similar in spite of using different models. Derived EFH maps are based on either environmental ranges (used as minimum and maximum environmental habitat descriptors) or probability of occurrence values. We apply model outputs to regions larger than sampled areas making use of the capacity of satellite data to cover wide areas.
引用
收藏
页码:5 / 20
页数:16
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