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Filters Date Range Past year (6) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types GeoTIFF (7) Map Service (7) Raster (7) Contacts U.S. Geological Survey - ScienceBase Lucas Berio Fortini Lucas Berio Fortini U.S. Geological Survey Lauren R Kaiser More... Categories Data (7) Tag Types Theme (7) Place (7) Tag Schemes USGS (6) None (7) ISO 19115 Topic Category (5) View Results as: JSON ATOM CSV

Hawaiian Islands probability of excess rainfall conditions by land cover type under current (2002-2012) and future (2090-2099) scenarios One of the determinants of runoff is the occurrence of excess rainfall events where rainfall rates exceed the infiltration capacity of soils. To help understand runoff risks, we calculated the probability of excess rainfall events across the Hawaiian landscape by comparing the probability distributions of projected rainfall frequency and land cover-specific infiltration capacity. We characterized soil infiltration capacity based on different land cover types (bare soil, grasses, and woody vegetation) and compared them to the frequency of large rainfall events under current and future (pseudo-global warming) climate scenarios. Here we provide two rasters of excess rainfall for current (2002-2012) and future (2090-2099)... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Climate Shift, Ecohydrology, Hawai’i, Infiltration, Landcover, All tags... Main Hawaiian Islands, Rainfall, Runoff, Fewer tags Hawaiian Islands nested habitat suitability models for highly invasive plants for baseline climate scenario (1990-2009) We created a comprehensive estimate of potential distribution for a subset of 17 ecosystem modifying invasive plants (EMIPs) in Hawaiʻi. This work uses methods that integrate a wide set of data sources including agency and citizen science data, but perhaps more importantly, the integration of regional and global distribution information for these species. We developed transferable and comparable general species distribution models (SDMs) at global and regional scales based on a minimum set of biologically plausible predictors. We built three sets of ensemble species distribution models (SDMs) for each species. We first built global and regional ensemble distribution models for each species. Then, to create a comprehensive... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Baseline Climate, Ensemble Model Projections, Hawai’i, Invasive Plants, Main Hawaiian Islands, All tags... Nested Models, Species Distribution Models, biota, Fewer tags Hawaiian Islands probability of excess rainfall conditions under current (2002-2012) and future (2090-2099) scenarios One of the determinants of runoff is the occurrence of excess rainfall events where rainfall rates exceed the infiltration capacity of soils. To help understand runoff risks, we calculated the probability of excess rainfall events across the Hawaiian landscape by comparing the probability distributions of projected rainfall frequency and land cover-specific infiltration capacity. We characterized soil infiltration capacity based on different land cover types (bare soil, grasses, and woody vegetation) and compared them to the frequency of large rainfall events under current and future (pseudo-global warming) climate scenarios. Here we provide a raster stack that contain the probability of excess rainfall exceeding... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Climate Shift, Ecohydrology, Hawai’i, Infiltration, Landcover, All tags... Main Hawaiian Islands, Rainfall, Runoff, Fewer tags High-Resolution Land Cover Maps of Lāna‘i, Hawai‘i, 2020 - Class Probability Stack 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, All tags... Lāna‘i, Machine learning, Mapping, Pacific Islands, Remote sensing, Vegetation, biota, climatologyMeteorologyAtmosphere, Fewer tags Hawaiian Islands global habitat suitability models for highly invasive plants for baseline climate scenario (1990-2009) We created a comprehensive estimate of potential distribution for a subset of 17 ecosystem modifying invasive plants (EMIPs) in Hawaiʻi. This work uses methods that integrate a wide set of data sources including agency and citizen science data, but perhaps more importantly, the integration of regional and global distribution information for these species. We developed transferable and comparable general species distribution models (SDMs) at global and regional scales based on a minimum set of biologically plausible predictors. The global models were developed for each species using all global location data and pseudo-absences (PAs), excluding those found in Hawaiʻi, and using WorldClim2 bioclimatic variables (1... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Baseline Climate, Ensemble Model Projections, Hawai’i, Invasive Plants, Main Hawaiian Islands, All tags... Nested Models, Species Distribution Models, biota, Fewer tags Hawaiian Islands 19 bioclimatic variables for baseline and future (RCP 4.5 and RCP 8.5) climate scenarios We integrated recent climate model projections developed for the State of Hawai’i with current climatological datasets to generate updated regionally defined bioclimatic variables. We derived updated bioclimatic variables from new projections of baseline and future monthly minimum, mean, and maximum temperature (Tmin, Tmean, Tmax) and mean precipitation (Pmean) data at 250 m resolution. We used observation-based data for the baseline bioclimatic variables from the Rainfall Atlas of Hawai’i. We used the most up-to-date dynamically downscaled future projections based on the Weather Research and Forecasting (WRF) model from the International Pacific Research Center (IPRC) and the National Center for Atmospheric Research... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Bioclimatic Variables, Climate Shifts, Future Scenarios, Global Circulation Models, Hawai’i, All tags... Main Hawaiian Islands, Regional Projections, farming, Fewer tags Hawaiian Islands regional habitat suitability models for highly invasive plants for baseline climate scenario (1990-2009) We created a comprehensive estimate of potential distribution for a subset of 17 ecosystem modifying invasive plants (EMIPs) in Hawaiʻi. This work uses methods that integrate a wide set of data sources including agency and citizen science data, but perhaps more importantly, the integration of regional and global distribution information for these species. We developed transferable and comparable general species distribution models (SDMs) at global and regional scales based on a minimum set of biologically plausible predictors. The regional models were developed for each species using only regional location data and pseudo-absences (PAs) wihtin the extent of the main Hawaiian Islands and regionally derived bioclimatic... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Baseline Climate, Ensemble Model Projections, Hawai’i, Invasive Plants, Main Hawaiian Islands, All tags... Nested Models, Species Distribution Models, biota, Fewer tags