This map illustrates where infrastructure and population could be potentially impacted by a one meter sea level rise by the year 2100. Examples of infrastructure: airports, education establishments, medical facilities, and buildings. The pattern is shown along coastal areas by both tracts and counties. The sea level rise model comes from the Climate Mapping Resilience and Adaptation (CMRA) portal. As you zoom into the map, you can see the pattern by where human settlement exists. This helps illustrate the pattern by where people live.Airport data: Airports (National) - National Geospatial Data Asset (NGDA) AirportsData can be accessed hereOpenStreetMap Data:BuildingsMedical FacilitiesEducation EstablishmentsPopulation data: ACS Table(s): B01001Data downloaded from: Census Bureau's API for American Community Survey Data can be accessed hereHuman Settlement data:WorldPop Population Density 2000-2020 100mData can be accessed hereAbout the CMRA data:The Climate Mapping Resilience and Adaptation (CMRA) portal provides a variety of information for state, local, and tribal community resilience planning. A key tool in the portal is the CMRA Assessment Tool, which summaries complex, multidimensional raster climate projections for thresholded temperature, precipitation, and sea level rise variables at multiple times and emissions scenarios. This layer provides the geographical summaries. What's included?Census 2019 counties and tracts; 2021 American Indian/Alaska Native/Native Hawaiian areas25 Localized Constructed Analogs (LOCA) data variables (only 16 of 25 are present for Hawaii and territories)Time periods / climate scenarios: historical; RCP 4.5 early-, mid-, and late-century; RCP 8.5 early-, mid-, and late-centuryStatistics: minimum, mean, maximumSeal level rise (CONUS only)Original Layers in Living Atlas:U.S. Climate Thresholds (LOCA)U.S. Sea Level Rise Source Data:Census TIGER/Line dataAmerican Indian, Alaska Native, and Native Hawaiian areasLOCA data (CONUS)LOCA data (Hawaii and territories)Sea level rise

This data set provides the simulated results of releasing malaria-resistant Iiwi into existing populations of wild birds on the Island of Hawaii. Resistant birds are released into mid- and high-elevation forests at different densities at 10-year intervals from 2030 to 2070. Populations of both malaria-resistant and susceptible Iiwi are then predicted at 10-year intervals from release until 2100. Predictions are made based on 3 different climate change projections: A1B, RCP4.5, and RCP8.5. The goal of this project is to evaluate the feasibility of creating a successful population of Iiwi when faced with higher malaria infection predicted as a result of climate change. The model results presented here build upon two previous research studies published in 2011 and 2015 (see published articles in the cross-reference section below). The original input data and model descriptions can be found in these earlier papers. This data release concentrates on the 2019 model and its output

Values represent island-means: CHL, WV and SSTL were obtained from satellite-derived sources [7] and represent long-term (9–25 yr.) averages of oceanic waters surrounding. HC and CX are visually-estimated by divers during fish surveys. Human population data per island comes from the 2010 US census (http://www.census.gov/2010census/). Area of

Where stable source populations of at-risk species exist, translocation may be a reasonable strategy for re-establishing extirpated populations. However, the success rates of such efforts are mixed, necessitating thorough preliminary investigation. Stochastic population modeling can be a useful method of assessing the potential success of translocations. Here, we report on the results of modeling translocation success for the Hawaiian Common Gallinule (‘alae ‘ula; Gallinula galeata sandvicensis), an endangered waterbird endemic to the Hawaiian Islands. Using updated vital rates, we constructed a model simulating three existing extant (wild) source populations and a hypothetical recipient site on another island. We then projected the effects of six different translocation scenarios and sensitivity of the results to variation of three important demographic parameters on the probability of extinction (PE) of the reintroduced and donor populations. Larger translocations, of at least 30 birds, had low probability of extinction in the reintroduced population, but raised extinction risk of the smallest source population. Spacing out translocations in time (e.g., 10 birds translocated in total in three installments over nine years), led to lower PE than translocating all individuals at once (i.e., bulk translocations) for both the source and reintroduced populations. Brood size and hatch-year juvenile survival had a disproportionate impact on reintroduced population viability. Importantly, the reported juvenile survival rate is very near the threshold for population failure. This suggests that post-introduction and subsequent management of wetlands, particularly predator control, could be critical to reintroduction success. We recommend that individuals should be translocated from multiple, genetically distinct subpopulations to reduce the possibility of inbreeding depression. Based on this analysis, the recipient wetland should be sufficiently large that it can support at least 25 pairs of gallinules. Based on recent estimates of population densities on O‘ahu, such a wetland would need to be between 3.75-74.6 ha. Where stable source populations of at-risk species exist, translocation may be a reasonable strategy for re-establishing extirpated populations. However, the success rates of such efforts are mixed, necessitating thorough preliminary investigation. Stochastic population modeling can be a useful method of assessing the potential success of translocations. Here, we report on the results of modeling translocation success for the Hawaiian Common Gallinule (‘alae ‘ula; Gallinula galeata sandvicensis), an endangered waterbird endemic to the Hawaiian Islands. Using updated vital rates, we constructed a model simulating three existing extant (wild) source populations and a hypothetical recipient site on another island. We then projected the effects of six different translocation scenarios and sensitivity of the results to variation of three important demographic parameters on the probability of extinction (PE) of the reintroduced and donor populations. Larger translocations, of at least 30 birds, had low probability of extinction in the reintroduced population, but raised extinction risk of the smallest source population. Spacing out translocations in time (e.g., 10 birds translocated in total in three installments over nine years), led to lower PE than translocating all individuals at once (i.e., bulk translocations) for both the source and reintroduced populations. Brood size and hatch-year juvenile survival had a disproportionate impact on reintroduced population viability. Importantly, the reported juvenile survival rate is very near the threshold for population failure. This suggests that post-introduction and subsequent management of wetlands, particularly predator control, could be critical to reintroduction success. We recommend that individuals should be translocated from multiple, genetically distinct subpopulations to reduce the possibility of inbreeding depression. Based on this analysis, the recipient wetland should be sufficiently large that it can support at least 25 pairs of gallinules. Based on recent estimates of population densities on O‘ahu, such a wetland would need to be between 3.75-74.6 ha. Methods Reproductive rate data (HAGAVitalRates_9-10-23_Export) We acquired nest data from recent monitoring projects run through the state of Hawaii Department of Land and Natural Resources, Division of Forestry and Wildlife (DOFAW) on O‘ahu, and graduate dissertation work conducted at Hanalei National Wildlife Refuge on Kaua‘i (by BW). Nests on O‘ahu were located during routine weekly or biweekly surveys using an area-search survey. A team of 3–7 observers walked meandering transects with the goal of locating all nests in a given area. All nests were visually checked 2 times per week until hatching or failure. DOFAW nest monitoring continued throughout the annual cycle. A subset of Hawaiian Gallinule nests on O‘ahu was monitored from January through December 2020–2023. All nests were visually checked at least twice weekly, and a subset was monitored from January through December 2020–2023 using SPYPOINT Solar Dark (GG Telecom, Quebec, Canada) passive infrared cameras (trigger speed: 0.07 s) placed about 1 m from the nest, mounted on a 7.6 cm wide metal post 1.8 m long, fixed with a fully adjustable camera mount that allows a camera angle of 0–90. Cameras were programmed to take 2 images back-to-back immediately upon infrared motion activation. Cameras were programmed to take photos instantly for each activation (Instant setting recovery speed: 0.3 s). Cameras were checked weekly for battery life and SD card data retrieval and were removed either immediately after a nest wasconfirmed failed or after a nest was confirmed successful. A nest was considered successful if at least 1 egg hatched and was considered failed if the eggs all disappeared before the expected hatch date or if signs of predation (e.g., predator scat/tracks in the nest or destroyed eggs adjacent to the nest), flooding (e.g., intact eggs outside nest following an increase in water level or nest submerged under water), or abandonment (e.g., eggs cold to the touch in the morning, hot to the touch in the afternoon) were apparent. On Kaua‘i, nests were found by conducting systematic searches. In wetland units managed strictly for waterbirds, transects spaced 10 m apart were walked, while in taro that was grown on the refuge searches were done by walking the pond perimeter. Although Hawaiian Gallinules can nest year-round (Shallenberger 1977, Byrd and Zeillemaker 1981), searches were concentrated during the main breeding season. Nests also were found incidentally during regular activities by refuge staff and taro farmers. Nests on Kaua‘i were monitored with and without cameras (see Webber 2022 for details of monitoring and assessment of nest fates). All nests were checked every 3–5 d to monitor nest status; if the brood continued to use the nest after hatching and the camera was available, monitoring continued for brood survival data. Brood Survival Data (BroodDatabase_8-24-22) Due to some methodological differences in brood monitoring among datasets compiled in this study, we resampled data to a matching, lowest common temporal resolution. Brood data from Keawawa wetland (O‘ahu) were recorded via multiple daily surveys for the first 60þ d posthatch by a group of trained citizen science volunteers. Brood encounter data on Kaua‘i were collected based on 4 d encounter intervals, recording presence and number of chicks if the brood was detected on any day within the interval. All brood records in our Kaua‘i dataset were collected by BW, and they were monitored by surveying telemetered adults (see Webber 2022 for details). Territories with known nests were monitored starting at what was estimated to be mid-incubation, and visited at least once every 4 d. At James Campbell National Wildlife Refuge (O‘ahu), brood encounters were opportunistic. Except for data from Keawawa, most brood monitoring ended after the first month post-hatch. Based on these data formats, we reduced our combined data to 4 d intervals and the first 30 d post-hatch to avoid estimating parameters with a sparse dataset.

Understanding the influence of multiple ecosystem drivers, both natural and anthropogenic, and how they vary across space is critical to the spatial management of coral reef fisheries. In Hawaii, as elsewhere, there is uncertainty with regards to how areas should be selected for protection, and management efforts prioritized. One strategy is to prioritize efforts based on an area's biomass baseline, or natural capacity to support reef fish populations. Another strategy is to prioritize areas based on their recovery potential, or in other words, the potential increase in fish biomass from present-day state, should management be effective at restoring assemblages to something more like their baseline state. We used data from 717 fisheries-independent reef fish monitoring surveys from 2012 to 2015 around the main Hawaiian Islands as well as site-level data on benthic habitat, oceanographic conditions, and human population density, to develop a hierarchical, linear Bayesian model that explains spatial variation in: (1) herbivorous and (2) total reef fish biomass. We found that while human population density negatively affected fish assemblages at all surveyed areas, there was considerable variation in the natural capacity of different areas to support reef fish biomass. For example, some areas were predicted to have the capacity to support ten times as much herbivorous fish biomass as other areas. Overall, the model found human population density to have negatively impacted fish biomass throughout Hawaii, however the magnitude and uncertainty of these impacts varied locally. Results provide part of the basis for marine spatial planning and/or MPA-network design within Hawaii.

This CSV file contains landscape factors representing anthropogenic disturbances to stream habitats summarized within local and network stream catchments as well as the downstream main channel catchments of perennial and intermittent stream reaches of the five main islands of Hawai'i. The source datasets compiled and attributed to spatial units were identified as being: (1) meaningful for assessing fluvial fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) broadly representative of conditions in the past 10 years, and (4) of sufficient spatial resolution that they could be used to make valid comparisons among local catchment units. Variables summarized at the catchment scale include measures of anthropogenic land uses, golf courses, population density, roads, ditches, pipelines, dams, mines, point-source pollution sites, and locations of former plantation lands. In this dataset variable summaries are linked to the Hawaii Fish Habitat Partnership (HFHP) stream layer (Tingley et al. in prep) which is a modified version of the 1:24,000 National Hydrography Dataset that consists of 11,436 intermittent and perennial stream reaches across the five largest Hawaiian Islands (Hawai’i, Maui, Moloka’i, O’ahu, Kaua’i). Catchment attributes are available for both local catchments (defined as the land area draining directly to a reach; attributes begin with "L_" prefix) and upstream network catchments (defined by all upstream contributing catchments to the reach's outlet, including the reach's own local catchment; attributes begin with "N_" prefix). Downstream main channel variables for reaches are labeled using a "D_" prefix.

When sexual signals are perceived during growth and development they can provide information regarding the social conditions likely to be encountered as an adult. Perception of cues related to the presence and density of future mates and potential competitors can result in altered adult phenotypes. Previous studies have shown that adult male Teleogryllus oceanicus field crickets from a Kauai, Hawaii population reared alone and without hearing conspecific song are more phonotactic than those reared with song. These naïve males also reduce investment in body size and immunity. Here we examined whether another source of population density information, the presence of other males, affects behavior, size, and immunity. Specifically, we examined satellite behavior as evidenced by strength of phonotaxis, body condition, and immune response in males reared singly and in groups in the presence and absence of conspecific song. Body condition did not vary with rearing density, and immune response ...

This multi-scale map uses dots to represent the population of each race/ethnicity living within an area. Map opens at the state level, centered on the lower 48 states. Data is from U.S. Census Bureau's 2020 PL 94-171 data for tract, block group, and block.The map's colors represent each of the eight race/ethnicity categories have the highest total count. You can adjust the density of dots in your area by choosing "Change Style" for a layer. Race and ethnicity highlights from the U.S. Census Bureau:White population remained the largest race or ethnicity group in the United States, with 204.3 million people identifying as White alone. Overall, 235.4 million people reported White alone or in combination with another group. However, the White alone population decreased by 8.6% since 2010.Two or More Races population (also referred to as the Multiracial population) has changed considerably since 2010. The Multiracial population was measured at 9 million people in 2010 and is now 33.8 million people in 2020, a 276% increase.“In combination” multiracial populations for all race groups accounted for most of the overall changes in each racial category.All of the race alone or in combination groups experienced increases. The Some Other Race alone or in combination group (49.9 million) increased 129%, surpassing the Black or African American population (46.9 million) as the second-largest race alone or in combination group.The next largest racial populations were the Asian alone or in combination group (24 million), the American Indian and Alaska Native alone or in combination group (9.7 million), and the Native Hawaiian and Other Pacific Islander alone or in combination group (1.6 million).Hispanic or Latino population, which includes people of any race, was 62.1 million in 2020. Hispanic or Latino population grew 23%, while the population that was not of Hispanic or Latino origin grew 4.3% since 2010.View more 2020 Census statistics highlights on race and ethnicity.

description: Belt transects along 1 or 2 consecutively-placed, 25m transect lines were surveyed as part of Rapid Ecological Assessments conducted at 19 sites at Hawaii Island in the Main Hawaiian Islands in February and March, 2005 from the NOAA vessel Oscar Elton Sette (OES05-02). Raw survey data included species presence and relative abundance, colony counts and size classes, and visual estimation of percent cover. Depending on colony density, 0.5 or 1 m was included in the belt on each side of the transect liners (for a total of 25-100m2 per site).; abstract: Belt transects along 1 or 2 consecutively-placed, 25m transect lines were surveyed as part of Rapid Ecological Assessments conducted at 19 sites at Hawaii Island in the Main Hawaiian Islands in February and March, 2005 from the NOAA vessel Oscar Elton Sette (OES05-02). Raw survey data included species presence and relative abundance, colony counts and size classes, and visual estimation of percent cover. Depending on colony density, 0.5 or 1 m was included in the belt on each side of the transect liners (for a total of 25-100m2 per site).

The data included in this publication depict components of wildfire risk specifically for populated areas in the United States. These datasets represent where people live in the United States and the in situ risk from wildfire, i.e., the risk at the location where the adverse effects take place. National wildfire hazard datasets of annual burn probability and fire intensity, generated by the USDA Forest Service, Rocky Mountain Research Station and Pyrologix LLC, form the foundation of the Wildfire Risk to Communities data. Vegetation and wildland fuels data from LANDFIRE 2020 (version 2.2.0) were used as input to two different but related geospatial fire simulation systems. Annual burn probability was produced with the USFS geospatial fire simulator (FSim) at a relatively coarse cell size of 270 meters (m). To bring the burn probability raster data down to a finer resolution more useful for assessing hazard and risk to communities, we upsampled them to the native 30 m resolution of the LANDFIRE fuel and vegetation data. In this upsampling process, we also spread values of modeled burn probability into developed areas represented in LANDFIRE fuels data as non-burnable. Burn probability rasters represent landscape conditions as of the end of 2020. Fire intensity characteristics were modeled at 30 m resolution using a process that performs a comprehensive set of FlamMap runs spanning the full range of weather-related characteristics that occur during a fire season and then integrates those runs into a variety of results based on the likelihood of those weather types occurring. Before the fire intensity modeling, the LANDFIRE 2020 data were updated to reflect fuels disturbances occurring in 2021 and 2022. As such, the fire intensity datasets represent landscape conditions as of the end of 2022. The data products in this publication that represent where people live, reflect 2021 estimates of housing unit and population counts from the U.S. Census Bureau, combined with building footprint data from Onegeo and USA Structures, both reflecting 2022 conditions. The specific raster datasets included in this publication include: Building Count: Building Count is a 30-m raster representing the count of buildings in the building footprint dataset located within each 30-m pixel. Building Density: Building Density is a 30-m raster representing the density of buildings in the building footprint dataset (buildings per square kilometer [km²]). Building Coverage: Building Coverage is a 30-m raster depicting the percentage of habitable land area covered by building footprints. Population Count (PopCount): PopCount is a 30-m raster with pixel values representing residential population count (persons) in each pixel. Population Density (PopDen): PopDen is a 30-m raster of residential population density (people/km²). Housing Unit Count (HUCount): HUCount is a 30-m raster representing the number of housing units in each pixel. Housing Unit Density (HUDen): HUDen is a 30-m raster of housing-unit density (housing units/km²). Housing Unit Exposure (HUExposure): HUExposure is a 30-m raster that represents the expected number of housing units within a pixel potentially exposed to wildfire in a year. This is a long-term annual average and not intended to represent the actual number of housing units exposed in any specific year. Housing Unit Impact (HUImpact): HUImpact is a 30-m raster that represents the relative potential impact of fire to housing units at any pixel, if a fire were to occur. It is an index that incorporates the general consequences of fire on a home as a function of fire intensity and uses flame length probabilities from wildfire modeling to capture likely intensity of fire. Housing Unit Risk (HURisk): HURisk is a 30-m raster that integrates all four primary elements of wildfire risk - likelihood, intensity, susceptibility, and exposure - on pixels where housing unit density is greater than zero.Additional methodology documentation is provided with the data publication download. Metadata and Downloads: (https://www.fs.usda.gov/rds/archive/catalog/RDS-2020-0060-2).Note: Pixel values in this image service have been altered from the original raster dataset due to data requirements in web services. The service is intended primarily for data visualization. Relative values and spatial patterns have been largely preserved in the service, but users are encouraged to download the source data for quantitative analysis.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService For complete information, please visit https://data.gov.

Annual point counts are commonly used to monitor birds to track population densities across space and time. Palila (Loxioides bailleui) are surveyed annually in the first quarter, but we recently instituted quarterly sampling that offers a unique opportunity to improve estimator precision. We conducted point-transect distance sampling point counts during the first quarter of 2020 through 2024, and the second through fourth quarters in 2022 and 2023, and the second quarter in 2024. The reduced sampling intensity during the quarterly counts, however, requires model-based methods to estimate abundance to the entire sampling frame. We modeled spatial and temporal correlation using a soap film smoother within a generalized additive modeling framework, a density surface model, fitted to palila counts each quarter for the five-year timeseries to track changes in population abundances. Our results indicate that palila maintained a high-density hotspot throughout the five-year timeseries; however, the extent of the hotspot declined substantially over the timeseries while densities within the hotspot declined from about 3 birds/ha in 2020 to about 1 bird/ha in 2024, which resulted in a 66% decline in palila abundances over 5 years. Density surface model estimates give on average a confidence interval width that was 74.7% shorter than the associated distance sampling confidence interval widths. Our results indicate that palila may benefit most if management actions were applied within the remaining hotspot. Additionally, this temporally fine-grained sampling provides information on seasonal movement patterns and resource tracking, and population response to management and conservation actions. Our spatially explicit, model-based approach is applicable to a wide range of monitoring programs, particularly those with inconsistent, opportunistic spatial coverage.

Aim: Species ranges provide a valuable foundation for resolving biogeographic regions, evolutionary processes, and extinction risks. To inform conservation priorities, here we develop the first bioregionalization based on reef fish abundance of the Hawaiian Archipelago, which spans nearly 10° of latitude across 2,400 km, including 8 high volcanic islands in the populated main Hawaiian Islands (MHI), and 10 low islands (atolls, shoals, and islets) in the remote northwestern Hawaiian Islands (NWHI)..

Location: The Hawaiian Archipelago.

Taxon: Fishes (276 taxa).

Methods: We compiled 5,316 visual fish surveys at depths of 1-30 m from throughout the Hawaiian Archipelago. Geographic range (km2) for each species was measured as extent of occurrence (EOO) and area of occurrence (AOO). PERMANOVA and PCO were used to investigate drivers of fish assemblage structure. Distance-based multivariate analyses were used to evaluate the relationship between fish assemblage structure and predictor variables including latitude, reef area, temperature, chlorophyll-a, wave-energy, and human population density.

Results: Distinct fish assemblages exist in the MHI and NWHI, with two additional faunal breaks driven primarily by endemic species abundance. Latitude explained 37% of the variability in fish assemblages, with reef area accounting for an additional 9%. EOO showed a significant correlation with latitude. Endemics comprised 52-55% of the numerical abundance at the northern end of the archipelago but only 17% on Hawai'i Island in the extreme south. Maximum size and activity regime (day vs. night) explained the most variation in the abundance of endemics.

Main conclusions: The Hawaiian fish assemblages are strongly influenced by endemic species, affirming the archipelago as a biodiversity hotspot of high conservation value. The higher abundance of endemics in the NWHI may represent preadaptation to oceanic (oligotrophic) conditions. Resolution of distinct bioregions across the archipelago provides a better understanding of reef fish macroecology, with implications for management at the archipelago scale.

Belt transects along 2 consecutively-placed, 25m transect lines were surveyed as part of Rapid Ecological Assessments conducted at 9 sites at Midway Atoll in the Northwestern Hawaiian Islands in October, 2004 from the NOAA vessel Hi'ialakai (Hll04-01... Raw survey data included species presence and relative abundance, colony counts and size classes, and visual estimation of percent cover. Either 0.5m or 1m on each side of the transect lines were included in the belt (for a total of 50m2 or 100m2 per site), depending on colony density.

Strawberry guava (waiawī, Psidium cattleyanum O. Deg., Myrtaceae) is a small tree invasive on oceanic islands where it may alter forest ecosystem processes and community structure. To better understand the dynamics of its invasion in Hawaiian rainforests in anticipation of the release of a biocontrol agent, we measured growth and abundance of vertical stems >= 0.5 cm DBH for 16 years (2005-2020) in an intact Metrosideros-Cibotium rainforest on windward Hawai'i Island. Specifically, we compared the growth and abundance of both shoots (originating from seed or from the root mat) and sprouts (originating above ground from established stems) in four replicate study sites. Mean stem density increased from 9562 stems/ha in 2005 to 26,595 stems/ha in 2020, the majority of which were stems < 2 cm DBH. Mean annual rates of population growth (lambda) varied between 1.03 and 1.17. Early in the invasion, both density and per capita recruitment of shoots was greater than that of sprouts, but a..., Sites: We measured guava stem diameters annually between 2005 and 2020 at each of four replicate study plots selected to represent early stages of strawberry guava invasions in intact Metrosideros-Cibotium rainforest on windward Hawai'i Island (Juvik and Juvik 1998). Wet forests in Hawai'i are high priority conservation areas because of the biological diversity they harbor and their importance in the water economy of the islands (Jacobi and Warshauer 1992, Tunison 1992). Our study plots were established in the following conservation areas: Kahauale'a Natural Area Reserve (KAH, 19o10'N, 155o10'W), Pu'u Maka'ala Natural Area Reserve (MAK, 19o34'N, 155o11'W), Ola'a Forest Reserve (OLA, 19o27'N, 155o11'W), and Upper Waiakea Forest Reserve (WAI, 19o35'N, 155o12'W). All sites are at approximately 900 m elevation and distances between sites are 2 to 17 km. Estimated annual rainfall is 3000-4000 mm at OLA and KAH and 4000-5000 mm at WAI and MAK (Giambelluca et al. 1996). Projected mean annual ..., , # Strawberry guava invasion of a Hawaiian rainforest: Changing population pattern

https://doi.org/10.5061/dryad.dr7sqvb42 This file provides information on the contents of the file “Psicat Demog 2005-2020 values 20231203.csv†. It is intended to accompany the manuscript titled “Strawberry guava invasion of a Hawaiian rainforest: Changing population pattern†authored by J. S. Denslow, M. T. Johnson, N. L. Chaney, E. C. Farrer. C. C. Horvitz, E. R. Nussbaum, and A. L. Uowolo which appears In the journal Biotropica. Please see the “Methods†section of that paper for more detail.

The file provides diameter at breast height (DBH, 1.37 m) of vertical strawberry guava (Psidium cattleyanum O. Deg. f. lucidum) stems measured annually (2005-2020) at 4 study sites in rainforest on windward Hawai'i Island.

KAH: Kahauale'a Natural Area Reserve

MAK: Puu Maka'ala Natural Area Reserve

OLA: Ola'a Forest Reserve

WAI: Upper Waiakea Forest Reserve

The ...

description: Belt transects along 2 consecutively-placed, 25m transect lines were surveyed as part of Rapid Ecological Assessments conducted at 2 sites at Necker in the NW Hawaiian Islands (NWHI) during 1 September - 4 October 2006 in the NOAA Hi'ialakai Reef Assessment and Monitoring Program (RAMP) Cruise (HI0611). Raw survey data included species presence and relative abundance, colony counts and size classes by genus, and determination of benthic cover using the line-intercept method. Depending on colony density, 0.5 or 1 m on each side of the transect lines was included in the belt (for a total of 25-100m2 per site).; abstract: Belt transects along 2 consecutively-placed, 25m transect lines were surveyed as part of Rapid Ecological Assessments conducted at 2 sites at Necker in the NW Hawaiian Islands (NWHI) during 1 September - 4 October 2006 in the NOAA Hi'ialakai Reef Assessment and Monitoring Program (RAMP) Cruise (HI0611). Raw survey data included species presence and relative abundance, colony counts and size classes by genus, and determination of benthic cover using the line-intercept method. Depending on colony density, 0.5 or 1 m on each side of the transect lines was included in the belt (for a total of 25-100m2 per site).

Altitudinal movement by tropical birds to track seasonally variable resources can move them from protected areas to areas of increased vulnerability. In Hawaiʻi, historical reports suggest that many Hawaiian honeycreepers such as the ‘I'iwi (Drepanis coccinea) once undertook seasonal migrations, but the existence of such movements today is unclear. Because Hawaiian honeycreepers are highly susceptible to avian malaria, currently minimal in high-elevation forests, understanding the degree to which honeycreepers visit lower elevation forests may be critical to predict the current impact of malaria on population dynamics and how susceptible bird populations may respond to climate change and mitigation scenarios. Using radio telemetry data, we demonstrate for the first time that a large fraction of breeding adult and juvenile ‘I'iwi originating from an upper-elevation (1920 m) population at Hakalau Forest NWR exhibit post-breeding movements well below the upper elevational limit for mosquitoes. Bloom data suggest seasonal variation in floral resources is the primary driver of seasonal movement for ‘I'iwi. To understand the demographic implications of such movement, we developed a spatial individual-based model calibrated using previously published and original data. ʻI'iwi dynamics were simulated backwards in time, to estimate population levels in the absence of avian malaria, and forwards in time, to assess the impact of climate warming as well as two potential mitigation actions. Even in disease-free ‘refuge’ populations, we found that breeding densities failed to reach the estimated carrying capacity, suggesting the existence of a seasonal ‘migration load’ as a result of travel to disease-prevalent areas. We predict that ‘I'iwi may be on the verge of extinction in 2100, with the total number of pairs reaching only ~ 0.2 to 12.3% of the estimated pre-malaria density, based on an optimistic climate change scenario. The probability of extinction of ‘I'iwi populations, as measured by population estimates for 2100, is strongly related to their estimated migration propensity. Long-term conservation strategies likely will require a multi-pronged response including a reduction of malaria threats, habitat restoration and continued landscape-level access to seasonally variable nectar resources.

Belt transects along 2 consecutively-placed, 25m transect lines were surveyed as part of Rapid Ecological Assessments conducted at 9 sites at Kure Atoll in the Northwestern Hawaiian Islands in October, 2004 from the NOAA vessel Hi'ialakai (HII04-01). Raw survey data included species presence and relative abundance, colony counts and size classes, and visual estimation of percent cover. Either 0.5m or 1m on each side of the transect lines were included in the belt (for a total of 50m2 or 100m2 per site), depending on colony density.

description: Globally, seabirds are vulnerable to anthropogenic threats both at sea and on land. Seabirds typically nest colonially and show strong site fidelity; therefore, conservation strategies could benefit from an understanding of the population dynamics and vulnerability of breeding colonies to climate change. More than 350 atolls exist across the Pacific Ocean; while they provide nesting habitat for many seabirds, they are also vulnerable to sea-level rise. We used French Frigate Shoals, the largest atoll in the Hawaiian Archipelago, as a case study to explore seabird colony dynamics and the potential consequences of sea-level rise. We compiled a unique combination of data sets: historical observations of islands and seabirds, a 30-year time series of population abundance, LiDAR- (light detection and ranging) derived elevations, and satellite imagery. To model population dynamics for ten species at Tern Island from 1980 to 2009, we used the Gompertz model with parameters for the population growth rate, density dependence, process variation, and observation error. We used a Bayesian approach to estimate the parameters. All species increased in a pattern that provided evidence of density dependence. Density dependence may exacerbate the consequences of sea-level rise on seabirds because species that are already near the carrying capacity of the nesting habitat will be limited more than species that still have space for population growth. Laysan Albatross (Phoebastria immutabilis), Great Frigatebird (Fregata minor), Red-tailed Tropicbird (Phaethon rubricauda), Masked Booby (Sula dactylatra), Gray-backed Tern (Onychoprion lunatus), and White Tern (Gygis alba) are likely already at carrying capacity at Tern Island and therefore are most likely to be negatively impacted by sea-level rise. We project 12% of French Frigate Shoals (excluding La Perouse Pinnacle) will be inundated with +1.0 m sea-level rise or 32% with +2.0 m. Gray-backed Terns that nest along the coastal perimeters of islands and shrub-nesting species that are habitat limited are especially vulnerable to sea-level rise. However, at Tern Island, seawalls and habitat creation may mitigate projected seabird population declines due to habitat loss. We predict substantial losses in seabird nesting habitat across the low-lying Hawaiian Islands by 2100 and emphasize the need to restore higher elevation seabird colonies.; abstract: Globally, seabirds are vulnerable to anthropogenic threats both at sea and on land. Seabirds typically nest colonially and show strong site fidelity; therefore, conservation strategies could benefit from an understanding of the population dynamics and vulnerability of breeding colonies to climate change. More than 350 atolls exist across the Pacific Ocean; while they provide nesting habitat for many seabirds, they are also vulnerable to sea-level rise. We used French Frigate Shoals, the largest atoll in the Hawaiian Archipelago, as a case study to explore seabird colony dynamics and the potential consequences of sea-level rise. We compiled a unique combination of data sets: historical observations of islands and seabirds, a 30-year time series of population abundance, LiDAR- (light detection and ranging) derived elevations, and satellite imagery. To model population dynamics for ten species at Tern Island from 1980 to 2009, we used the Gompertz model with parameters for the population growth rate, density dependence, process variation, and observation error. We used a Bayesian approach to estimate the parameters. All species increased in a pattern that provided evidence of density dependence. Density dependence may exacerbate the consequences of sea-level rise on seabirds because species that are already near the carrying capacity of the nesting habitat will be limited more than species that still have space for population growth. Laysan Albatross (Phoebastria immutabilis), Great Frigatebird (Fregata minor), Red-tailed Tropicbird (Phaethon rubricauda), Masked Booby (Sula dactylatra), Gray-backed Tern (Onychoprion lunatus), and White Tern (Gygis alba) are likely already at carrying capacity at Tern Island and therefore are most likely to be negatively impacted by sea-level rise. We project 12% of French Frigate Shoals (excluding La Perouse Pinnacle) will be inundated with +1.0 m sea-level rise or 32% with +2.0 m. Gray-backed Terns that nest along the coastal perimeters of islands and shrub-nesting species that are habitat limited are especially vulnerable to sea-level rise. However, at Tern Island, seawalls and habitat creation may mitigate projected seabird population declines due to habitat loss. We predict substantial losses in seabird nesting habitat across the low-lying Hawaiian Islands by 2100 and emphasize the need to restore higher elevation seabird colonies.

description: Towed-diver surveys (aka. Towboard surveys) are conducted by the Coral Reef Ecosystem Division (CRED) of the NOAA Pacific Islands Fisheries Science Center (PIFSC) as part of biennial Pacific Reef Assessment and Monitoring Program (RAMP) Cruises. These cruises support NOAA Coral Reef Conservation Program (CRCP) long-term goals for sustainable management and conservation of coral reef ecosystems. 33 towboard surveys (71.7193 km in length), were conducted at Hawaii Island in the Main Hawaiian Islands from July 27 - August 20 2006 as part of RAMP Cruise HI0610. Towboard surveys are a good method for obtaining a general description of large reef areas, assessing the status of low-density populations of large-bodied reef fish, large-scale disturbances (e.g., bleaching), general distribution and abundance patterns of macro-invertebrates (e.g., COT, giant clams), and for assessing trends in these populations and metrics. A pair of scuba divers (1 fish and 1 benthic diver) are towed 60 m behind a small survey launch at a speed of 1-2 knots and a depth of approximately 15m. Each survey is 50 min long, covers about 2 km of habitat, and is divided into ten 5-minute survey segments. The fish diver records, to the lowest possible taxon, all large-bodied reef fishes (>50cmTL) seen within 5m either side and 10m in front of the towboard. Length of each individual is estimated to the nearest cm. The fish towboard is also outfitted with a forward-facing digital video camera to record the survey swath. The benthic diver records percent cover of coral and macroalgae, estimates benthic habitat type and complexity, and censuses a suite of benthic macroinvertebrates including Crown of Thorns sea stars and sea urchins. The benthic towboard is equipped with a downward-facing digital still camera which images the benthos at 15 second intervals. These images are analyzed for percent cover of coral, algae, and other benthic components. Both towboards are equipped with SEABIRD SBE-39 temperature/depth sensors set to record at 5 second intervals. Latitude and longitude of each survey track is recorded at 15 second intervals using a Global Positioning System (GPS) receiver onboard the tow boat. A layback algorithm is applied to more accurately map the position of the divers with respect to the reef environment. This algorithm calculates the position of the divers based on the position of the tow boat taking into account the length of the tow rope, the depth of the divers, and the curvature of the survey track. This metadata applies to the fish biomass observations.; abstract: Towed-diver surveys (aka. Towboard surveys) are conducted by the Coral Reef Ecosystem Division (CRED) of the NOAA Pacific Islands Fisheries Science Center (PIFSC) as part of biennial Pacific Reef Assessment and Monitoring Program (RAMP) Cruises. These cruises support NOAA Coral Reef Conservation Program (CRCP) long-term goals for sustainable management and conservation of coral reef ecosystems. 33 towboard surveys (71.7193 km in length), were conducted at Hawaii Island in the Main Hawaiian Islands from July 27 - August 20 2006 as part of RAMP Cruise HI0610. Towboard surveys are a good method for obtaining a general description of large reef areas, assessing the status of low-density populations of large-bodied reef fish, large-scale disturbances (e.g., bleaching), general distribution and abundance patterns of macro-invertebrates (e.g., COT, giant clams), and for assessing trends in these populations and metrics. A pair of scuba divers (1 fish and 1 benthic diver) are towed 60 m behind a small survey launch at a speed of 1-2 knots and a depth of approximately 15m. Each survey is 50 min long, covers about 2 km of habitat, and is divided into ten 5-minute survey segments. The fish diver records, to the lowest possible taxon, all large-bodied reef fishes (>50cmTL) seen within 5m either side and 10m in front of the towboard. Length of each individual is estimated to the nearest cm. The fish towboard is also outfitted with a forward-facing digital video camera to record the survey swath. The benthic diver records percent cover of coral and macroalgae, estimates benthic habitat type and complexity, and censuses a suite of benthic macroinvertebrates including Crown of Thorns sea stars and sea urchins. The benthic towboard is equipped with a downward-facing digital still camera which images the benthos at 15 second intervals. These images are analyzed for percent cover of coral, algae, and other benthic components. Both towboards are equipped with SEABIRD SBE-39 temperature/depth sensors set to record at 5 second intervals. Latitude and longitude of each survey track is recorded at 15 second intervals using a Global Positioning System (GPS) receiver onboard the tow boat. A layback algorithm is applied to more accurately map the position of the divers with respect to the reef environment. This algorithm calculates the position of the divers based on the position of the tow boat taking into account the length of the tow rope, the depth of the divers, and the curvature of the survey track. This metadata applies to the fish biomass observations.

Distance-power relationship data we used to create and evaluate a protocol to estimate population density, which can be used to compute abundance of terrestrial sound-producing animals from single automatic acoustic recorders and using an automatic detection algorithm. First posted - January 18, 2017 (available from author) Revised - August 22, 2018 (version 1.1)