Using lidar bathymetry and boosted regression trees to predict the diversity and abundance of fish and corals

Journal of Coastal Research

Volumn , Issue SPECIAL ISSUE 53, 2009, Pages 27-38

  Pittman, Simon J ^a,b   Costa, Bryan M ^a   Battista, Tim A ^a  

^a NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^b UNIVERSITY OF THE VIRGIN ISLANDS   (United States)

Author keywords

Fish species richness; Predictive modeling; Puerto Rico; Seascapes; Spatial scale; Terrain morphometrics; Topographic complexity

Indexed keywords

ABUNDANCE; BATHYMETRIC SURVEY; CORAL REEF; LIDAR; POPULATION DISTRIBUTION; REGRESSION ANALYSIS; SATELLITE DATA; SPECIES DIVERSITY; SPECIES RICHNESS; TERRAIN;

PUERTO RICO;

ANTHOZOA; SCARIDAE;

EID: 72049126864     PISSN: 07490208     EISSN: 15515036     Source Type: Journal    
DOI: 10.2112/SI53-004.1     Document Type: Article

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