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GIS-based environmental analysis, remote sensing, and niche modeling of seaweed communities Pauly, K.; De Clerck, O. (2010). GIS-based environmental analysis, remote sensing, and niche modeling of seaweed communities, in: Israel, A. et al. Seaweeds and their role in globally changing environments. Cellular Origin, Life in Extreme Habitats and Astrobiology, 15: pp. 95-114. http://dx.doi.org/10.1007/978-90-481-8569-6_6 In: Israel, A.; Einav, R.; Seckbach, J. (Ed.) (2010). Seaweeds and their role in globally changing environments. Cellular Origin, Life in Extreme Habitats and Astrobiology, 15. Springer: Dordrecht. ISBN 978-90-481-8568-9. xxvii, 480 pp. https://dx.doi.org/10.1007%2F978-90-481-8569-6 In: Cellular Origin, Life in Extreme Habitats and Astrobiology. Springer: Dordrecht; Boston; London. ISSN 1871-661X; e-ISSN 2215-0048

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Beschikbaar in	Auteurs
VLIZ: Open Marine Archive 214452 [ download pdf ]

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Trefwoorden

Aquatic communities Flora > Weeds > Marine organisms > Seaweeds Information systems > GIS Remote sensing Marien/Kust

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Auteurs		Top
Pauly, K. De Clerck, O.

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Abstract

In the face of global change, spatially explicit studies or meta-analyses of published species data are much needed to understand the impact of the changing environment on living organisms, for instance by modeling and mapping species distributional shifts. A Nature Editorial (2008) recently discussed the need for spatially explicit biological data, stating that the absence or inaccuracy of geographical coordinates associated to every single sample prohibits, or at least jeopardizes, such studies in any research field. In this chapter, we show how geographic techniques such as remote sensing and applications based on geographic information systems (GIS) are the key to document changes in marine benthic macroalgal communities. Our aim is to introduce the evolution and basic principles of GIS and remote sensing to the phycological community and demonstrate their application in studies of marine macroalgae. Next, we review current geographical methods and techniques showing specific advantages and difficulties in spatial seaweed analyses. We conclude by demonstrating a remarkable lack of spatial data in seaweed studies to date and hence suggesting research priorities and new applications to gain more insight in global change-related seaweed issues.

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