Filters: Tags: {"scheme":"Common geographic areas"} (X) > partyWithName: Lucas Fortini (X) > partyWithName: U.S. Geological Survey - ScienceBase (X)
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Hawaiʹi’s most widespread native tree, ʹōhiʹa lehua (Metrosideros polymorpha), has been dying across large areas of Hawaiʹi Island mainly due to two fungal pathogens (Ceratocystis lukuohia and Ceratocystis huliohia) that cause a disease collectively known as Rapid ʹŌhiʹa Death (ROD). Here we examine patterns of positive detections of C. lukuohia as it has been linked to the larger mortality events across Hawaiʹi Island. Our analysis compares the environmental range of C. lukuohia and its spread over time through the known climatic range and distribution of ʹōhiʹa. This data set is a georeferenced raster file, containing the projected potential presence of C.lukuohia across the main Hawaiian Islands using climatic...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Ceratocystis lukuohia,
Hawaii,
Metrosideros polymorpha,
Ohia,
Rapid Ohia death,
This dataset was developed to model habitat suitability for two ungulate species on the island of Lanai. This includes raster data derived from WorldView-2 data to create a normalized difference vegetation index (NDVI). This index, in addition to other datasets, was used to develop habitat suitability models for Axis deer and mouflon sheep. Datasets and indices derived for use in modeling efforts, as well as suitability models, are included within this data release.
This dataset was developed to model habitat suitability for two ungulate species on the island of Lanai. This includes raster data derived from WorldView-2 data to create a bare ground index. This index, in addition to other datasets, was used to create the habitat suitability models. Datasets and indices derived for use in modeling efforts, as well as suitability models, are included within this data release.
Hawaiʹi’s most widespread native tree, ʹōhiʹa lehua (Metrosideros polymorpha), has been dying across large areas of Hawaiʹi Island mainly due to two fungal pathogens (Ceratocystis lukuohia and Ceratocystis huliohia) that cause a disease collectively known as Rapid ʹŌhiʹa Death (ROD). Here we examine patterns of positive detections of C. lukuohia as it has been linked to the larger mortality events across Hawaiʹi Island. Our analysis compares the environmental range of C. lukuohia and its spread over time through the known climatic range and distribution of ʹōhiʹa. This data set is a georeferenced raster file, containing the projected suitability for C.lukuohia across the main Hawaiian Islands using climatic variables...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Ceratocystis lukuohia,
Hawaii,
Metrosideros polymorpha,
Ohia,
Rapid Ohia death,
Dataset includes publicly available geologic and rainfall data, and environmental and ecological data derived or collected for this project. Specifically, water infiltration measurements, interepreted field-saturated hydraulic conductivity values, ungulate activity, vegetation cover, general soil and weather conditions data are included. Soil samples were collected, lab analyzed, and are included in the dataset. Field-collected data are associated with plots that encompassed approximately a 3 x 3 m area; site data represent approximately 20 x 20 m. First posted: 4 March 2020 (available from author) Revised: April 13, 2020 (version 2.0) The revision is provided due to minor refinement of the dataset and updated...
Categories: Data,
Data Release - Revised;
Tags: Hawaii,
Hedychium gardnerianum,
Kauai,
Metrosideros polymorpha,
USGS Science Data Catalog (SDC),
This series of five raster datasets includes three input rasters developed to model habitat suitability for two ungulate species on the island of Lanai; the two habitat suitability model raster datasets are also part of this data release. Input datasets were derived from WorldView-2 data to create vegetation (hereafter, NDVI) and bare ground indices, and from a Digital Elevation Model (DEM) to create a ground surface slope dataset. These indices and data, in addition to other datasets, were used to create habitat suitability models for Axis deer and mouflon sheep.
This dataset was developed to model habitat suitability for two ungulate species on the island of Lanai. Slope was derived from a 10-m resolution DEM raster dataset created by NOAA. This dataset, in addition to other datasets, was used to create the habitat suitability models. Datasets and indices derived for use in modeling efforts, as well as suitability models, are included within this data release.
This dataset was developed to model habitat suitability for mouflon sheep on the island of Lanai. Model parameters include: cloud cover at 1400 HST, ground surface slope, mean annual precipitation, NDVI, elevation, bare soil, and deer habitat suitability. Datasets and indices derived for use in modeling efforts, as well as the suitability model developed for axis deer, are included within this data release.
This dataset was developed to model habitat suitability for axis deer on the island of Lanai. Model parameters include: cloud cover at 1400 HST, ground surface slope, mean annual precipitation, NDVI, elevation, and bare soil. Datasets and indices derived for use in modeling efforts, as well as the suitability model developed for mouflon sheep, are included within this data release.
Hawaiʹi’s most widespread native tree, ʹōhiʹa lehua (Metrosideros polymorpha), has been dying across large areas of Hawaiʹi Island mainly due to two fungal pathogens (Ceratocystis lukuohia and Ceratocystis huliohia) that cause a disease collectively known as Rapid ʹŌhiʹa Death (ROD). Here we examine patterns of positive detections of C. lukuohia as it has been linked to the larger mortality events across Hawaiʹi Island. Our analysis compares the environmental range of C. lukuohia and its spread over time through the known climatic range and distribution of ʹōhiʹa. This data release consists of two rasters, one containing the projected suitability for C.lukuohia and another consisting of modeled presence/absence...
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