Applications and future challenges in marine species distribution modeling

被引:78
作者
Dambach, Johannes [1 ]
Roedder, Dennis [1 ,2 ]
机构
[1] Zool Forsch Museum Alexander Koenig, Dept Mol Biodivers & Herpetol, D-53113 Bonn, Germany
[2] Univ Trier, Biogeog Dept, D-54296 Trier, Germany
关键词
spatially explicit models; marine biodiversity; glacial; great white shark; SHARKS CARCHARODON-CARCHARIAS; CLIMATE-CHANGE; POTENTIAL DISTRIBUTION; ECOLOGICAL NICHES; HABITAT SUITABILITY; ENVIRONMENTAL DATA; SAMPLE-SIZE; MIGRATION; TEMPERATURE; BIODIVERSITY;
D O I
10.1002/aqc.1160
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
1. Anthropogenic climate change affects both phenology and distribution patterns of the world's biota including marine species. During the last decade, species distribution models have been more frequently used to assess the potential distributions of species and possible effects of climate change. However, unlike for terrestrial species, there have been few investigations assessing climate change effects on distribution patterns of marine organisms. 2. An overview of marine species distribution modelling is given. Possibilities of how to characterize and project the environmental niches of species onto climatic change scenarios are highlighted and novel techniques for addressing specific needs in a 3-D context are proposed. A detailed introduction into different modelling tools and databases for environmental parameters given provides a starting point for the application of these models. 3. Application of a species distribution model and its projections onto a glacial and future scenario on a global scale are presented for the great white shark (Carcharodon carcharias) for illustrative purposes. An approach for addressing marine migratory species with seasonal distribution patterns is presented. Copyright (C) 2010 John Wiley & Sons, Ltd.
引用
收藏
页码:92 / 100
页数:9
相关论文
共 106 条
[61]  
Locarnini RA., 2010, World Ocean Atlas 2009, V1
[62]   Large-scale species-richness gradients in the Atlantic Ocean [J].
Macpherson, E .
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2002, 269 (1501) :1715-1720
[63]   Evaluation of consensus methods in predictive species distribution modelling [J].
Marmion, Mathieu ;
Parviainen, Miia ;
Luoto, Miska ;
Heikkinen, Risto K. ;
Thuiller, Wilfried .
DIVERSITY AND DISTRIBUTIONS, 2009, 15 (01) :59-69
[64]   Evolution of seasonal ecological niches in the Passerina buntings (Aves: Cardinalidae) [J].
Martínez-Meyer, E ;
Peterson, AT ;
Navarro-Sigüenza, AG .
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2004, 271 (1544) :1151-1157
[65]   Climate change and the future for coral reef fishes [J].
Munday, Philip L. ;
Jones, Geoffrey P. ;
Pratchett, Morgan S. ;
Williams, Ashley J. .
FISH AND FISHERIES, 2008, 9 (03) :261-285
[66]   White Shark Offshore Habitat: A Behavioral and Environmental Characterization of the Eastern Pacific Shared Offshore Foraging Area [J].
Nasby-Lucas, Nicole ;
Dewar, Heidi ;
Lam, Chi H. ;
Goldman, Kenneth J. ;
Domeier, Michael L. .
PLOS ONE, 2009, 4 (12)
[67]   GENERALIZED LINEAR MODELS [J].
NELDER, JA ;
WEDDERBURN, RW .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-GENERAL, 1972, 135 (03) :370-+
[68]   Predicting the past distribution of species climatic niches [J].
Nogues-Bravo, David .
GLOBAL ECOLOGY AND BIOGEOGRAPHY, 2009, 18 (05) :521-531
[69]   Modeling current and future potential wintering distributions of eastern North American monarch butterflies [J].
Oberhauser, K ;
Peterson, AT .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2003, 100 (24) :14063-14068
[70]  
OHara T., 2008, Bioregionalisation of the Waters Around Lord Howe and Norfolk Islands Using Brittle Stars (Echinodermata: Ophiuroidea)