2021
DOI: 10.1002/ecs2.3554
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Application of lidar for critical endangered bird species conservation on the island of Kauai, Hawaii

Abstract: The Akikiki (Oreomystis bairdi) and Akekee (Loxops caeruleirostris) are two honeycreepers endemic to Kauai, Hawaii, that were listed as federally endangered in 2010. Both species are rare, little-studied, and occur in a remote, roadless area. We analyzed high-resolution airborne lidar data to identify forest structure and topography metrics associated with Akikiki and Akekee nest locations (88 for Akikiki and 22 for Akekee) and occurrences (3706 for Akikiki and 1581 for Akekee) from 2012 to 2017 on the Alakai … Show more

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Cited by 9 publications
(19 citation statements)
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“…The Maui species models using the full suite of lidar‐derived metrics (elevation, slope, topographic wetness index, canopy density, canopy height, relative height 90, relative height 75, relative height 50, and relative height 25) performed very well with AUC scores >0.945 and low levels of uncertainty with SD values <0.010 (Appendix S1: Table S2). The 100‐m scale performed better for predicting suitable nesting habitat for kiwikiu than the 10‐m scale, in contrast to results obtained for Kaua'i species (Fricker et al, 2021).…”
Section: Resultscontrasting
confidence: 65%
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“…The Maui species models using the full suite of lidar‐derived metrics (elevation, slope, topographic wetness index, canopy density, canopy height, relative height 90, relative height 75, relative height 50, and relative height 25) performed very well with AUC scores >0.945 and low levels of uncertainty with SD values <0.010 (Appendix S1: Table S2). The 100‐m scale performed better for predicting suitable nesting habitat for kiwikiu than the 10‐m scale, in contrast to results obtained for Kaua'i species (Fricker et al, 2021).…”
Section: Resultscontrasting
confidence: 65%
“…Although both 'akikiki and 'akeke'e are rare and somewhat cryptic species, previous field‐based work acquired natural history and habitat information for these species (Behnke et al, 2016). Additionally, much was learned about their habitat preferences with previous fine‐scale modeling in their native range (Fricker et al, 2021). Given this previous work, we know that the fine‐scale vegetation structure models developed here corroborate the known essential biotic and abiotic habitat information necessary to inform translocations.…”
Section: Discussionmentioning
confidence: 99%
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“…The other one is ‘predictive modelling’, which aims to predict unknown values of the biodiversity response variable based on pre‐specified relationships. Predictive SDM is especially useful in supporting conservation decision‐making, such as in selecting protected areas; identifying critical habitats that contain essential features for endangered species conservation; or predicting the impacts of climate or land use change on biodiversity (Araújo et al, 2019; Fricker et al, 2021; Guisan et al, 2013; Morris et al, 2020).…”
Section: Role Of Vegetation Structure In the Distribution Of Speciesmentioning
confidence: 99%