Spatial prediction of coral reef habitats: integrating ecology with spatial modeling and remote sensing
2004; Inter-Research; Volume: 269; Linguagem: Inglês
10.3354/meps269141
ISSN1616-1599
AutoresJoaquín Rodrigo Garza-Pérez, Anthony Lehmann, Jesús Ernesto Arias‐González,
Tópico(s)Marine and fisheries research
ResumoMEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections MEPS 269:141-152 (2004) - doi:10.3354/meps269141 Spatial prediction of coral reef habitats: integrating ecology with spatial modeling and remote sensing J. R. Garza-Pérez1, A. Lehmann2, J. E. Arias-González1,* 1Coral Reef Ecosystems Ecology Laboratory, Centro de Investigación y Estudios Avanzados del Instituto Politécnico Nacional Unidad Mérida, Carr. Ant. Progreso km 6 Cordemex, Mérida, Yucatán 97210, México 2Swiss Center for the Cartography of Fauna, Terreaux 14, 2000 Neuchâtel, Switzerland *Corresponding author. Email: earias@mda.cinvestav.mx ABSTRACT: Spatial prediction of coral reef habitats and coral reef community components was approached on the basis of the Œpredict first, classify later¹ paradigm. Individual community components (biotic and geomorphologic bottom features) were first predicted and then classified into composite habitats. This approach differs from widely applied methods of direct classification based on remote sensing only. In situ coral reef community-condition assessment was first used to measure a response variable (percentage cover of habitat). Reef bottom features (topographic complexity, sand-sediment, rock-calcareous pavement and rubble) were then predicted using generalized additive models (GAMs) applied to continuous environmental maps, high-resolution Ikonos satellite images and a reef digital topographic model (DTM). Next, using GAMs on newly created bottom maps, models were fitted to predict coral community components (hard coral, sea-grass, algae, octocorals). At this stage, high-resolution maps of the geomorphologic and biotic components of the coral reef community at an experimental site (Akumal Reef in the Mexican Caribbean) were produced. Coral reef habitat maps were derived using GIS following a hierarchical classification procedure, and the resulting merged map depicting 8 habitats was compared against thematic maps created by traditional supervised classification. This general approach sets a baseline for future studies involving more complex spatial and ecological predictions on coral reefs. KEY WORDS: GAM · GRASP · GIS · Ikonos · DTM · Mexican Caribbean Full text in pdf format PreviousNextExport citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 269. Online publication date: March 25, 2004 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2004 Inter-Research.
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