Using Lidar Bathymetry and Boosted Regression Trees to Predict the Diversity and Abundance of Fish and Corals

Autor:	Tim Battista, Bryan M. Costa, Simon J. Pittman
Rok vydání:	2009
Předmět:	Hydrology geography geography.geographical_feature_category Ecology biology Coral Coral reef biology.organism_classification Lidar Abundance (ecology) Spatial ecology Environmental science Bathymetry Parrotfish Species richness Physical geography Earth-Surface Processes Water Science and Technology
Zdroj:	Journal of Coastal Research. 10053:27-38
ISSN:	1551-5036 0749-0208
DOI:	10.2112/si53-004.1
Popis:	Coral reef ecosystems are topographically complex environments and this structural heterogeneity influences the distribution, abundance and behavior of marine organisms. Airborne hydrographic lidar (Light Detection and Ranging) provides high resolution digital bathymetry from which topographic complexity can be quantified at multiple spatial scales. To assess the utility of lidar data as a predictor of fish and coral diversity and abundance, seven different morphometrics were applied to a 4 m resolution bathymetry grid and then quantified at multiple spatial scales (i.e., 15, 25, 50, 100, 200 and 300 m radii) using a circular moving window analysis. Predictive models for nineteen fish metrics and two coral metrics were developed using the new statistical learning technique of stochastic gradient boosting applied to regression trees. Predictive models explained 72% of the variance in herbivore biomass, 68% of parrotfish biomass, 65% of coral species richness and 64% of fish species richness. Slope...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::eee42d062577daca341f2513ce0c2a9e https://doi.org/10.2112/si53-004.1 Zobrazit plný text záznamu Plný text ve formátu PDF