Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/50883

Estimating Palila (Loxioides bailleui) Habitat Using Remote Sensing

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Item Summary

Title:Estimating Palila (Loxioides bailleui) Habitat Using Remote Sensing
Authors:Chetcuti, Jordan
Contributors:Chen, Qi (advisor)
Geography and Environment (department)
Keywords:palila
mamane
naio
tree
invasive flora
Date Issued:May 2015
Publisher:[Honolulu] : [University of Hawaii at Manoa], [May 2015]
Abstract:The remaining population of palila (Loxioides bailleui), which is tied closely to mamane (Sophora chrysophylla) and naio (Myoporum sandwicense) tree species, has been in long-term decline. This decline is caused by black rats (Ratus ratus), malaria, predation, and parasitism of moth species that palila consume, and the destruction of the mamane naio woodland by ungulate browsing and invasive flora. Using LiDAR and hyperspectral data collected in 2009, this study derived measures of the mamane and naio habitat. Using Bayesian information criterion (BIC) stepwise selection this study found that LiDAR ground return intensity, area of mamane trees and water band index (WBI) were the best explanatory variables of palila bird count data and that mamane and naio may be used at different scales. The browsing and area of mamane variables support existing knowledge; the canopy water content however suggests a problem for palila in wetter areas, contra to established expectation.
Description:MA University of Hawaii at Manoa 2015
Includes bibliographical references (leaves 74–85).
Pages/Duration:x, 95 leaves
URI/DOI:http://hdl.handle.net/10125/50883
Rights:All UHM dissertations and theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner.
Appears in Collections: M.A. - Geography


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