We used an automated radio telemetry network to track the movement of two nectivorous Hawaiian honeycreepers, the ʻapapane (Himatione sanguinea) and ʻiʻiwi (Drepanis coccinea), collecting high temporal and spatial resolution data across the annual cycle. We identify movement syndromes using a multivariate analysis of multiple movement metrics and assessed seasonal changes in movement behavior. Birds made long-distance flights, including multi-day forays outside the tracking array, but exhibited a high degree of fidelity to a core use area, even in the non-breeding period. Both species visited forests at elevations where avian malaria potentially occurs, although overall exhibited very little seasonal change in elevation (< 150 m) and regularly returned to high-elevation roost sites at night. Birds were tracked from January 2014 to July 2016.

We used an automated radio telemetry network to track the movement of two nectivorous Hawaiian honeycreepers, the ʻapapane (Himatione sanguinea) and ʻiʻiwi (Drepanis coccinea), collecting high temporal and spatial resolution data across the annual cycle. We identify movement syndromes using a multivariate analysis of multiple movement metrics and assessed seasonal changes in movement behavior. Birds made long-distance flights, including multi-day forays outside the tracking array, but exhibited a high degree of fidelity to a core use area, even in the non-breeding period. Both species visited forests at elevations where avian malaria potentially occurs, although overall exhibited very little seasonal change in elevation (< 150 m) and regularly returned to high-elevation roost sites at night. Birds were tracked from January 2014 to July 2016.

Hawaiian hoary bats ('ōpe'ape'a; Lasiurus semotus) were captured at 23 sites on Hawaiʻi Island from May 2018 through August 2021. Radio transmitters were affixed to captured bats and, when possible, radio telemetry was used to locate bats in trees or forest stands used for day-roosts. Repeated visits to confirm bat presence were conducted until radio-tagged bats were no longer detected. Of the total 148 captured bats we affixed 131 with radio transmitters and attempted to relocate 127 (38 female; 89 male; 120 adult; 7 juvenile) on subsequent days of tracking. Radio signals were not detected for 36 bats (6 female; 30 male). Of the 91 bats (32 female; 59 male) relocated, males retained transmitters longer than females with a mean low estimate of 9 ± 6 days for males and 6 ± 4 days for females (time from capture to the last day a signal was confirmed). This data file includes data related to dates of capture and subsequent tracking effort, sex and age of captured individuals, and tracking methods.

Hawaiian hoary bats ('ōpe'ape'a; Lasiurus semotus) were captured at 23 sites on Hawaiʻi Island from May 2018 through August 2021. Radio transmitters were affixed to captured bats and, when possible, radio telemetry was used to locate bats in trees or forest stands used for day-roosts. Repeated visits to confirm bat presence were conducted until radio-tagged bats were no longer detected. Of the total 148 captured bats we affixed 131 with radio transmitters and attempted to relocate 127 (38 female; 89 male; 120 adult; 7 juvenile) on subsequent days of tracking. Radio signals were not detected for 36 bats (6 female; 30 male). Of the 91 bats (32 female; 59 male) relocated, males retained transmitters longer than females with a mean low estimate of 9 ± 6 days for males and 6 ± 4 days for females (time from capture to the last day a signal was confirmed). This data file includes data related to dates of capture and subsequent tracking effort, sex and age of captured individuals, and tracking methods.

This data release includes metadata and tabular data that documents counts of arthropods collected from forest litter at the Liko Nā Pilina study site located on the Keaukaha Military Reservation, Hilo, Hawai‘i. These data are represented in three files: 1) a description of the date and location for each sample, 2) classification for all taxa, and 3) counts of each taxon in each sample. The classification file is in lieu of listing all taxa in the Taxonomic Classification section of the metadata files. Arthropods were extracted from litterbags containing leaves from dominant plant species within the study site and from litter collected in randomly placed quadrats. Samples were obtained after 1, 2, 4 and 6 months during 28 August 2019 - 28 January 2020. Samples were processed in the lab during 1 March 2020 - 31 December 2022, and taxa identified during 1 April - 31 December 2023. Quantitative data are only included for the litterbag samples. Overall, 319 arthropod taxa are included in this data release.

Hawaiian hoary bats ('ōpe'ape'a; Lasiurus semotus) were surveyed at 23 sites on Hawaiʻi Island from 33 to 2,341 m elevation from May 2018 to August 2021. Of the 23 sites, 8 were established as fixed survey sites for sampling at repeated intervals from January 2019 through January 2021. We surveyed each fixed site at least once per four month period (January–April, May–August, September–December), with a survey comprising one to three netting events. Additional opportunistic surveys were conducted at alternate locations or on alternate dates. We captured 138 unique bats (37 female, 101 male) and recaptured 10 bats over 224 mist-netting events. This data file includes data pertaining to mist netting effort locations, dates, times, use of acoustic playbacks, total survey time, and net sizes.

Hawaiian hoary bats ('ōpe'ape'a; Lasiurus semotus) were surveyed at 23 sites on Hawaiʻi Island from 33 to 2,341 m elevation from May 2018 to August 2021. Of the 23 sites, 8 were established as fixed survey sites for sampling at repeated intervals from January 2019 through January 2021. We surveyed each fixed site at least once per four month period (January–April, May–August, September–December), with a survey comprising one to three netting events. Additional opportunistic surveys were conducted at alternate locations or on alternate dates. We captured 138 unique bats (37 female, 101 male) and recaptured 10 bats over 224 mist-netting events. This data file includes data pertaining to mist netting effort locations, dates, times, use of acoustic playbacks, total survey time, and net sizes.

Hawaiian hoary bats ('ōpe'ape'a; Lasiurus semotus) were captured and tracked back to roosting locations on Hawaiʻi Island. Roost perch metrics were observed and collected from 2019 to 2021. We observed a total of 69 perches used by 52 bats (16 female; 22 male; 14 unknown) within 44 roost trees. This data file includes data pertaining to roost perch locations, dates, height, canopy cover, and aspect.

Hawaiian hoary bats ('ōpe'ape'a; Lasiurus semotus) were captured and tracked back to roosting locations on Hawaiʻi Island. Roost perch metrics were observed and collected from 2019 to 2021. We observed a total of 69 perches used by 52 bats (16 female; 22 male; 14 unknown) within 44 roost trees. This data file includes data pertaining to roost perch locations, dates, height, canopy cover, and aspect.

This dataset provides high-resolution, species-specific land cover maps for the Hawaiian island of Lāna'i based on 2020 WorldView-2 satellite imagery. Machine learning models were trained on extensive ground control polygons and points. The land cover maps capture the distribution and diversity of vegetation with high accuracy to support conservation planning and monitoring. This data release consists of two child items, one containing the field and expert collected ground control data used to train our models, and another consisting of resulting land cover maps for the island of Lāna‘i. The research effort that generated these input data, and products are carefully described in the associated manuscript Berio Fortini et al. 2024. Full citation is listed in the larger work section of this XML file. Outputs included in this page include: Map 1 - Species-specific land cover map: This raster depicts the distribution of 15 species-specific vegetation classes across the island of Lāna‘i at 2m resolution. It represents the final selected neural network model predictions with expert-adjusted posterior probabilities. Each pixel is assigned to the most likely species-specific class based on the model. Overall and class-specific accuracy assessments indicate this map has generally over 95% accuracy. It provides detailed species-level vegetation mapping to support conservation planning and monitoring. Map 2 - Community-specific land cover map: This raster depicts the distribution of broader community-level vegetation classes across Lāna‘i. To generate this map, the species-specific class probabilities were summed to get total probability of membership in each defined community class. Each pixel was then assigned to the community class with the highest probability. This generalized map allows for an assessment of vegetation patterns at a coarser categorical level across the island. Map 3 - Mixed hierarchical land cover map: This raster integrates the species-specific and community classifications using a hierarchical approach based on classification certainty. A 0.66 probability threshold was applied, with pixels assigned the finest species-specific class as long as the probability exceeded the threshold. Pixels below the threshold were assigned to the broader community class meeting the threshold. This approach displays the most detailed class possible given a minimum confidence, providing a map that balances specificity and certainty. Map 4 - Class membership probability maps: This raster stack contains 15 probability layers representing the pixel-level predicted probability of membership in each species-specific vegetation class from 0 to 1. These probability layers can be used to generate class membership uncertainty maps or probabilistic class cover maps from the model outputs. They provide additional information beyond the discrete categorial land cover assignments. Please note that to reduce the inherent 'salt and pepper' noise in the final land cover classification maps above, we applied a 3x3 pixel moving window majority filter to the final classification results.