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T. Bekkby, Martin Isaeus (2008)
Mapping large, shallow inlets and bays: modelling a Natura 2000 habitat with digital terrain and wave-exposure modelsIces Journal of Marine Science, 65
Y. Golbuu, S. Victor, E. Wolanski, R. Richmond (2003)
Trapping of fine sediment in a semi-enclosed bay, Palau, MicronesiaEstuarine Coastal and Shelf Science, 57
Steven Phillips, R. Anderson, R. Schapire (2006)
Maximum entropy modeling of species geographic distributionsEcological Modelling, 190
T. Bekkby, F. Moy, T. Kroglund, J. Gitmark, M. Walday, E. Rinde, K. Norderhaug (2009)
Identifying Rocky Seabed Using GIS-Modeled Predictor VariablesMarine Geodesy, 32
T. Bekkby, E. Rinde, L. Erikstad, V. Bakkestuen, O. Longva, O. Christensen, Martin Isaeus, P. Isachsen (2008)
Spatial probability modelling of eelgrass (Zostera marina) distribution on the west coast of NorwayIces Journal of Marine Science, 65
J. Elith, Catherine Graham, Robert Anderson, Miroslav Dudı́k, Simon Ferrier, A. Guisan, R. Hijmans, F. Huettmann, J. Leathwick, Anthony Lehmann, Jin Li, Lúcia Lohmann, Bette Loiselle, G. Manion, Craig Moritz, Miguel Nakamura, Yoshinori Nakazawa, J. Overton, A. Peterson, Steven Phillips, Karen Richardson, R. Scachetti-Pereira, R. Schapire, Jorge Soberón, Stephen Williams, M. Wisz, N. Zimmermann (2006)
Novel methods improve prediction of species' distributions from occurrence dataEcography, 29
R. Boyd, R. Dalrymple, B. Zaitlin (1992)
Classification of clastic coastal depositional environmentsSedimentary Geology, 80
M. Pienkowski (1983)
Surface activity of some intertidal invertebrates in relation to temperature and the foraging behaviour of their shorebird predatorsMarine Ecology Progress Series, 11
M. R., Ichael, rwin, Uth, B. A., Eck (2007)
Restoration of Waterbird Habitats in Chesapeake Bay: Great Expectations or Sisyphus Revisited?, 30
P. Keddy (1982)
Quantifying within-lake gradients of wave energy: Interrelationships of wave energy, substrate particle size and shoreline plants in axe lake, OntarioAquatic Botany, 14
T. Piersma, P. Goeij, I. Tulp (1993)
An evaluation of intertidal feeding habitats from a shorebird perspective: Towards relevant comparisons between temperate and tropical mudflatsNetherlands Journal of Sea Research, 31
Martin Isaeus (2004)
Factors structuring Fucus communities at open and complex coastlines in the Baltic Sea
Kai Jing, Zhijun Ma, Bo Li, Jinhua Li, Jia-kuan Chen (2007)
Foraging strategies involved in habitat use of shorebirds at the intertidal area of Chongming Dongtan, ChinaEcological Research, 22
R. Butler, N. Davidson, R. Morrison (2001)
Global-scale shorebird distribution in relation to productivity of near-shore ocean watersWaterbirds, 24
C. Kraan, J. Gils, B. Spaans, Anne Dekinga, A. Bijleveld, Marc Roomen, R. Kleefstra, T. Piersma (2009)
Landscape-scale experiment demonstrates that Wadden Sea intertidal flats are used to capacity by molluscivore migrant shorebirds.The Journal of animal ecology, 78 6
J. Granadeiro, J. Andrade, J. Palmeirim (2004)
Modelling the distribution of shorebirds in estuarine areas using generalised additive modelsJournal of Sea Research, 52
Steven Phillips, Miroslav Dudík, J. Elith, C. Graham, A. Lehmann, J. Leathwick, S. Ferrier (2009)
Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data.Ecological applications : a publication of the Ecological Society of America, 19 1
Yuri Zharikov, R. Elner, P. Shepherd, D. Lank (2008)
Interplay between physical and predator landscapes affects transferability of shorebird distribution modelsLandscape Ecology, 24
S. Manel, H. Williams, S. Ormerod (2001)
Evaluating presence-absence models in ecology: the need to account for prevalenceJournal of Applied Ecology, 38
A. Guisan, N. Zimmermann (2000)
Predictive habitat distribution models in ecologyEcological Modelling, 135
M. Thomas (1986)
A physically derived exposure index for marine shorelinesOphelia, 25
A. Fielding, J. Bell (1997)
A review of methods for the assessment of prediction errors in conservation presence/absence modelsEnvironmental Conservation, 24
T. Bekkby, E. Rinde, L. Erikstad, V. Bakkestuen (2009)
Spatial predictive distribution modelling of the kelp species Laminaria hyperborea.Ices Journal of Marine Science, 66
R. Cochard, S. Ranamukhaarachchi, G. Shivakoti, O. Shipin, P. Edwards, K. Seeland (2008)
The 2004 tsunami in Aceh and Southern Thailand: A review on coastal ecosystems, wave hazards and vulnerabilityPerspectives in Plant Ecology Evolution and Systematics, 10
H. Yokoyama (2003)
Environmental quality criteria for fish farms in JapanAquaculture, 226
Tatsuya Amano, T. Székely, Kazuo Koyama, Hitoha Amano, W. Sutherland (2010)
A framework for monitoring the status of populations: An example from wader populations in the East Asian–Australasian flywayBiological Conservation, 143
H. Lotze, H. Lenihan, B. Bourque, R. Bradbury, R. Cooke, M. Kay, S. Kidwell, M. Kirby, C. Peterson, J. Jackson (2006)
Depletion, Degradation, and Recovery Potential of Estuaries and Coastal SeasScience, 312
P. Atkinson (2003)
Can we recreate or restore intertidal habitats for shorebirds
M. Burrows, R. Harvey, L. Robb (2008)
Wave exposure indices from digital coastlines and the prediction of rocky shore community structureMarine Ecology Progress Series, 353
Kang Kang, Takahashi Takahashi, Kuroda Kuroda, Okudaira Okudaira (2002)
Characteristics of the topography and soil in foreshore tidal flats and its type classification: stability of foreshore tidal flats against wave actionProceedings of Civil Engineering in the Ocean, 18
Amano (2006)
Status of migratory birds that use mud flatsChikyu Kankyo, 11
J. Gray (2004)
Marine biodiversity: patterns, threats and conservation needsBiodiversity & Conservation, 6
Yoonkoo Kang, Shigeo Takahashi, T. Kuroda, A. Okudaira (2002)
CHARACTIERISTICS OF THE TOPOGRAPHY AND SOIL IN FORESHORE TIDAL FLATS AND ITS TYPE CALSSIFICATION, 18
A. Ruuskanen, S. Bäck, T. Reitalu (1999)
A comparison of two cartographic exposure methods using Fucus vesiculosus as an indicatorMarine Biology, 134
P. Hernández, C. Graham, L. Master, Deborah Albert (2006)
The effect of sample size and species characteristics on performance of different species distribution modeling methodsEcography, 29
P. Harris, A. Heap, S. Bryce, R. Porter-Smith, D. Ryan, D. Heggie (2002)
Classification of Australian Clastic Coastal Depositional Environments Based Upon a Quantitative Analysis of Wave, Tidal, and River PowerJournal of Sedimentary Research, 72
ABSTRACT Several recent studies have predicted potential habitats along coastal areas using large‐scale physical environmental variables to identify target areas for conservation. However, no indices or methodologies for predicting tidal‐flat habitats at a large spatial scale have been developed. Tidal flats supporting large populations of shorebirds have been identified in semi‐enclosed seas. Thus, bays are probably important topographic units for evaluating the locations of shorebirds' non‐breeding habitats. A GIS‐based methodology was developed to extract ‘bay units’ at any scale from coastline data. Using three environment variables (the area of the bay units at three spatial scales, the percentage of shallow water area in each bay unit, and the spring‐tide range), it was possible to predict tidal‐flat habitats for six shorebird species with high accuracy (AUC > 0.95, sensitivity >90%). Results showed that the percentage of shallow water area in small‐ and medium‐scale bays was the best predictor of tidal‐flat habitats, followed by the area of bays at a large spatial scale. This indicates that the size (scale) of a bay and the percentage of shallow water present are highly related to the presence of tidal‐flat habitats. The prediction maps for individual species of shorebirds clearly showed differences in the distribution patterns of species. These maps were overlaid to identify potentially species‐rich areas and thus where conservation and restoration of the tidal flats in these bays would be important. The model, which uses simple coastal data, is a useful, resource‐efficient method for identifying target conservation and restoration areas across broad scales. Copyright © 2011 John Wiley & Sons, Ltd.
Aquatic Conservation: Marine and Freshwater Ecosystems – Wiley
Published: Sep 1, 2011
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