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

被引:0
作者
Vasilis D. Valavanis
Graham J. Pierce
Alain F. Zuur
Andreas Palialexis
Anatoly Saveliev
Isidora Katara
Jianjun Wang
机构
[1] Hellenic Centre for Marine Research,Marine GIS Laboratory, Institute of Marine Biological Resources
[2] Instituto Español de Oceanografía,Centro Oceanográfico de Vigo
[3] Highland Statistics Ltd,Faculty of Geography and Ecology
[4] Kazan State University,School of Biological Sciences (Zoology)
[5] University of Aberdeen,undefined
来源
Hydrobiologia | 2008年 / 612卷
关键词
Marine species; Statistical modelling; Fisheries; Environment; Ecology;
D O I
暂无
中图分类号
学科分类号
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.
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页码:5 / 20
页数:15
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共 284 条
[1]  
Akaike H(1974)A new look at the statistical model identification IEEE Transactions on Automatic Control 19 716-723
[2]  
Araujo MB(2005)Reducing uncertainty in projections of extinction risk from climate change Global Ecology and Biogeography 14 529-528
[3]  
Whittaker RJ(2007)Species distribution models and ecological theory: a critical assessment and some possible new approaches Ecological Modelling 200 1-19
[4]  
Ladle RJ(1989)Vegetation survey design for conservation: gradsect sampling of forests in north-east New South Wales Biological Conservation 50 13-32
[5]  
Erhard M(2006)A review of statistical methods for the evaluation of aquatic habitat suitability for instream flow assessment River Research and Applications 22 503-523
[6]  
Austin M(1992)A method for estimating the slope of upper bounds in plots of body size and abundance in natural animal assemblages Oikos 65 107-112
[7]  
Austin MP(2005)Putting a CART before the search: successful habitat prediction for a rare forest herb Ecology 86 2793-2804
[8]  
Heyligers PC(2002)Evaluating resource selection functions Ecological Modelling 157 281-300
[9]  
Behrouz A-N(1999)The use of artificial neural networks to assess fish abundance and spatial occupancy in the littoral zone of a mesotrophic lake Ecological Modelling 120 299-311
[10]  
St-Hilaire A(2004)Presence–absence versus presence-only modelling methods for predicting bird habitat suitability Ecography 27 437-448