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Resource managers and users seek information that can be used to balance the needs of competing uses of groundwater and streamflow in the Heeia watershed, Oahu. A previously constructed steady-state numerical groundwater-flow model for the island of Oahu, Hawaii (https://doi.org/10.3133/sir20205126) using MODFLOW-2005 with the Seawater Intrusion (SWI2) package was used to examine the effects of withdrawals in the watershed. Four simulations representing a baseline and various withdrawal conditions were run using the previously published numerical model. The baseline simulation represents conditions in 2001-10 which were used to calibrate the Oahu model and to which all other scenarios are compared. The three scenarios...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Groundwater Model,
Hawaiian Islands,
Hydrology,
MODFLOW-2005,
Oahu,
Acoustic sampling for occurrence of the endangered Hawaiian hoary bat (Lasiurus cinereus semotus) was conducted at 18 "long-term" acoustic monitoring stations on 12 Hawaii Army National Guard (HIARNG) installations across the islands of Hawaii, Maui, Molokai, Oahu, and Kauai between 2012 and 2018. Hawaiian hoary bat insect prey sampling with paired acoustic monitoring was conducted at Keaukaha Military Reservation (KMR) on Hawaii Island from May to August, 2018. At this property, a herd of domestic goats (occasionally mixed with domestic sheep) were rotated among grazing plots as part of a weed control program managed by HIARNG. We sampled insect abundance and community within the area where goats were used for...
This data release provides flooding extent polygons and flood depth rasters (geotiffs) based on sea-level rise and wave-driven total water levels for the coast of the most populated Hawaiian, Mariana, and American Samoan Islands. Oceanographic, coastal engineering, ecologic, and geospatial data and tools were combined to evaluate the increased risks of storm-induced coastal flooding due to climate change and sea-level rise. We followed risk-based valuation approaches to map flooding due to waves and storm surge at 10 square meter resolution along these islands’ coastlines for annual (1-year), 20-year, and 100-year return-interval storm events and +0.25 m, +0.50 m, +1.00 m, +1.50 m, +2.00 m, and +3.00 m sea-level...
Categories: Data;
Tags: CMHRP,
Climate Change,
Climatology,
Coastal Processes,
Coastal and Marine Hazards and Resources Program,
This data release provides flooding extent polygons (flood masks) and depth values (flood points) based on wave-driven total water levels for 22 locations within the States of Hawaii and Florida, the Territories of Guam, American Samoa, Puerto Rico, and the U.S. Virgin Islands, and the Commonwealth of the Northern Mariana Islands. For each of the 22 locations there are eight associated flood mask polygons and flood depth point files: one for each four nearshore wave energy return periods (rp; 10-, 50-, 100-, and 500-years) and both with (wrf) and without (worf) the presence of coral reefs. These flood masks can be combined with economic, ecological, and engineering tools to provide a rigorous financial valuation...
This data release contains the source code, executable file, and example files for WATRMod, a Water-budget Accounting for Tropical Regions Model code that is documented in U.S. Geological Survey Open-File Report 2022-1013 available at https://doi.org/10.3133/ofr20221013. The source code is written in the Fortran computer language. The model source code was compiled using Intel(R) Visual Fortran Intel(R) 64 for Windows, version 11.0.061, Copyright(C) 1985-2008. WATRMod can be executed (run) in a Command window by typing the command WATRMod1 (preceded by the appropriate path to the file WATRMod1.exe if the file WATRMod1.exe does not reside in the folder from which the command is issued) at the prompt; the file WATRMOD.FIL...
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...
We tested the utility of a protocol using genetic markers that previously proved successful to identify the sex of Vespertilionid bats on tissues collected from live bats and carcasses of varying age from the Hawaiian hoary bat (Lasiurus semotus). This molecular method is based on genes unique to X and Y chromosomes in mammals and previously was used successfully on North American hoary bats (L. cinereus). Using genotyping, we determined the sex of 123 of 125 Hawaiian hoary bat tissue samples from carcasses. This dataset includes all 73 samples from the original data release, plus 58 additional samples. NOTE: While previous versions are available from the author, all the records in previous versions can be found...
Categories: Data,
Data Release - Revised;
Tags: Hawaii,
Hawaiian Islands,
Hawaiian hoary bat,
Maui,
Oahu,
This portion of the data release presents sediment grain-size data from samples collected from Anahola Valley, Kaua`i, Hawai`i in November, 2015 (USGS Field Activity 2015-671-FA). 63 sand and mud samples were taken from sediment cores that were collected using a Russian corer (a hand-held, side-filling peat auger) from two site locations. Site locations were determined using a hand-held global navigation satellite system, GNSS. The grain-size distributions of samples were determined using standard techniques developed by the USGS Pacific Coastal and Marine Science Center sediment lab. The grain-size data are provided in a comma-delimited spreadsheet (.csv). Core ANA15-RC1 BR contained two carbonate sand layers (Sand...
Categories: Data;
Tags: Anahola Valley,
CMHRP,
Coastal and Marine Hazards and Resources Program,
Hawaiian Islands,
Kaua'i,
This data set consists of ground control points used for independent pixel-level model validation (ground_control_points.gpkg): This dataset consists of 295 points distributed across the 15 vegetation classes on the island of Lāna‘i. The points were randomly generated from the final species-specific land cover classification map and stratified by class to ensure representation across all classes. The dataset provides species-specific land cover labels for the points, with the spatial location corresponding to the pixel coordinate location on the 2m resolution land cover map. Comparing modeled class assignments to these expert-validated classes enables an independent accuracy assessment supplemental to the polygon-based...
Steady-state numerical groundwater-flow models were constructed for the islands of Kaua'i, O'ahu, and Maui, Hawai'i. Separate models were created for each island using MODFLOW-2005 (Harbaugh, 2005) with the Seawater Intrusion (SWI2) package (Bakker and others, 2013), which allows simulation of freshwater and saltwater in ocean-island aquifers. The purpose of the models is to enable quantification of the hydrologic effects of withdrawals and changes in climate. These effects include water-table depression, saltwater rise, and reduction of natural groundwater discharge to streams, springs, and the ocean. The effects can place limits on groundwater availability. This USGS data release contains all of the input and...
Multi-species recovery planning can be a challenging natural resource management task. In collaboration with state and federal agencies, and botanical and technical experts, we developed and tested a multi-step optimization process to assist in identifying the minimum climate resilient habitat for the recovery of multiple threatened, endangered, and at-risk plant species across east Maui. The list of plant species used during this project, and number of planning units required to recover each species, are included.
The arrival of the coconut rhinoceros beetle (CRB, Oryctes rhinoceros) in Hawaii poses serious threats to endemic palm species, crop species and iconic palm trees across the archipelago. As this invasive is found on the island of Oahu primarily at lower elevations, there are concerns about the species spreading towards high value native habitats at higher elevations and/or to other islands across the state. This dataset simply describes the suitability of the Hawaiian landscape to CRB spread based on climatic conditions (using mean annual temperature and precipitation) of global and local species occurrences. This CRB habitat suitability was calculated using a simple bioclim approach where suitability values reflect...
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...
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. Please note that to reduce the inherent 'salt and pepper' noise in the final land cover classification map, we applied a 3x3 pixel moving window majority filter to the final classification results.
Abstract: The aim of this paper is to present a statistical downscaling method in which the relationships between present-day daily weather patterns and local rainfall data are derived and used to project future shifts in the frequency of heavy rainfall events under changing global climate conditions. National Centers for Environmental Prediction and the National Center for Atmospheric Research (NCEP/NCAR) reanalysis data from wet season months (November to April) 1958–2010 are composited for heavy rain days at 12 rainfall stations in the Hawaiian Islands. The occurrence of heavy rain events (days with amounts above the 90th percentile estimated from all wet season rain days 1958–2010) was found to be strongly correlated...
Categories: Publication;
Types: Citation;
Tags: CMIP3,
Drought, Fire and Extreme Weather,
Extreme Weather,
Global and regional climate change,
Hawaiian Islands,
This data release provides flooding extent polygons based on sea-level rise and wave-driven total water levels for the coast of the most populated Hawaiian Islands of Oahu, Molokai, Kauai, Maui, and Big Island. Oceanographic, coastal engineering, ecologic, and geospatial data and tools were combined to evaluate the increased risks of storm-induced coastal flooding due to climate change and sea-level rise. We followed risk-based valuation approaches to map flooding due to waves and storm surge at 10-m2 resolution along these islands' coastlines for annual (1-year), 20-year, and 100-year return-interval storm events and +0.25 m, +0.50 m, +1.00 m, +1.50 m, +2.00 m, and +3.00 m sea-level rise scenarios.
Categories: Data;
Tags: CMHRP,
Climate Change,
Coastal Processes,
Coastal and Marine Hazards and Resources Program,
Earth sciences,
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. Please note that to reduce the inherent 'salt and pepper' noise in the final land cover classification map, we applied a 3x3 pixel moving window majority filter to the final classification results.
Previously constructed steady-state numerical groundwater-flow models for the islands of Kauai, Oahu, and Maui, Hawaii (https://doi.org/10.3133/sir20205126) using MODFLOW-2005 with the Seawater Intrusion (SWI2) package, were used to examine the consequences of historical and plausible future withdrawals and changes in recharge. The volcanic aquifers of the Hawaiian Islands supply water to 1.46 million residents, diverse industries, and a large component of the U.S. military in the Pacific. Groundwater also supplies freshwater that supports ecosystems in streams and near the coast. Hawaii’s aquifers are remarkable given their small size, but the islands’ capacity to store fresh groundwater is limited because each...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Groundwater Model,
Hawaiian Islands,
Hydrology,
Kauai,
MODFLOW-2005,
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.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Conservation,
Hawaiian Islands,
Hawai‘i,
Invasive species,
Land cover,
This dataset features tissue collection information, reference genome assembly, and single nucleotide polymorphisim (SNP) genotypes of 23 Hawaiian hoary bats collected across four Hawaiian Islands, Hawaii, Maui, Oahu, and Kauai. These data were collected in order to examine the phylogenetic history and patterns of genetic variation in the Hawaiian hoary bat. The raw sequencing data are deposited to National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) under accession PRJNA559902. The data are archived in GenBank at the following URL: https://www.ncbi.nlm.nih.gov/bioproject/559902.
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