We used Maximum Entropy (MaxEnt) modelling (Phillips et al. 2006) to assess the potential habitat suitability on Maui Island for translocation of endemic Kauai bird species Oreomystis bairdi (Akikiki, AKIK) and Loxops caeruleirostris (Akekee, AKEK), as well asthreatened endemic Maui bird species Palmeria dolei (Akohekohe, AKOH), Paroreomyza montana (Maui Alauahio, MAAL), and Pseudonestor xanthophrys (Kiwikiu, MAPA). All of these species are classified as endangered by the US Fish & Wildlife Service except MAAL (which is considered endangered by IUCN). This work is a follow-up of (Fortini et al. 2017) , which considered the suitability of habitat for inter-island translocation of AKEK and AKIK based on climate ranges alone. The habitat suitability of the Kauai species wasalready modelled for Kauai island in previous work (Fricker et al. 2020) , and we applied these models to LiDAR data acquired over eastern Maui by the Global Airborne Observatory ( https://gdcs.asu.edu/programs/global-airborne-observatory ) in August 2018. Maui models were built using the GAO data and nest locations as well as resight/occurrence data collected by project partners. Models using nest locations as response are considered models of “nesting” habitat suitability, while models using the occurrence data are considered models of “general use” habitat suitability.
