Filters: Tags: Hawaii (X) > Categories: Publication (X)
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This layer depicts the status, or degree of disturbance, to plant communities on the main Hawaiian Islands. To more precisely identify areas where native species may presently be found, a map was generated that considers the following three categories of habitat quality: High, areas dominated by native vegetation; Medium, areas dominated by nonnative vegetation; and Low, highly modified landscapes. The primary source for mapping these three categories is the HIGAP land-cover classification (Gon, 2006). The High category includes all HIGAP land-cover classes that are considered to be either native dominated or mixed native and nonnative in order to represent those areas that have substantial native-species composition....
Categories: Data,
Publication;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: Hawaii,
Hawaiian Islands,
cover type conversion,
ecosystem disturbance,
invasive species,
Abstract (from http://link.springer.com/article/10.1007%2Fs11069-015-1698-6): Chronic erosion in Hawaiʻi causes beach loss, damages homes and infrastructure, and endangers critical habitat. These problems will likely worsen with increased sea level rise (SLR). We forecast future coastal change by combining historical shoreline trends with projected accelerations in SLR ( IPCC RCP8.5) using the Davidson-Arnott profile model. The resulting erosion hazard zones are overlain on aerial photos and other GIS layers to provide a tool for identifying assets exposed to future coastal erosion. We estimate rates and distances of shoreline change for ten study sites across the Hawaiian Islands. Excluding one beach (Kailua) historically...
Categories: Publication;
Types: Citation;
Tags: Data Visualization & Tools,
Erosion,
Hawaii,
Pacific Islands CASC,
Reef,
Spatially explicit forest carbon (C) monitoring aids conservation and climate change mitigation efforts, yet few approaches have been developed specifically for the highly heterogeneous landscapes of oceanic island chains that continue to undergo rapid and extensive forest C change. We developed an approach for rapid mapping of aboveground C density (ACD; units = Mg or metric tons C ha−1) on islands at a spatial resolution of 30 m (0.09 ha) using a combination of cost-effective airborne LiDAR data and full-coverage satellite data. We used the approach to map forest ACD across the main Hawaiian Islands, comparing C stocks within and among islands, in protected and unprotected areas, and among forests dominated by...
Categories: Publication;
Types: Journal Citation;
Tags: Carbon stocks,
Forest inventory,
Hawaii,
Invasive species,
LiDAR,
Previous research identified species of invasive plants in Hawai'i which are highly flammable and act as fuels in wildfires across Hawai'i. This work aimed to map the distribution of these species (largely grasses) around the islands of Hawai'i with the goal of using the locations for species distribution modeling. All data represents presence data, no absence data were recorded. Data are largely from within the past 20 years, but some georeferenced herbarium specimens go as far back as 1905. Data were obtained from georeferenced herbarium specimens, vegetation plot data, citizen science data (iNaturalist) reviewed by the authors, and data from roadside surveys conducted as part of this research to map these species....
Categories: Data,
Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Hawaii,
biota,
gorse,
grass,
herbarium,
Abstract (from http://onlinelibrary.wiley.com/doi/10.1002/2014JD022059/abstract): Seasonal mean rainfall projections for Hawai‘i are given based on statistical downscaling of the latest Coupled Model Intercomparison Project phase 5 (CMIP5) global model results for two future representative concentration pathways (RCP4.5 and RCP8.5). The spatial information content of our statistical downscaling method is improved over previous efforts through the inclusion of spatially extensive, high-quality monthly rainfall data set and the use of improved large-scale climate predictor information. Predictor variables include moisture transport in the middle atmosphere (700 hPa), vertical temperature gradients, and geopotential...
Categories: Publication;
Types: Citation;
Tags: Drought, Fire and Extreme Weather,
Extreme Weather,
Hawaii,
Pacific Islands CASC,
climate change,
This report describes the design, field methodology, and first year results of a vegetation survey and long-term monitoring program to assess the status and document changes in the dominant native plant communities relative to alien species management efforts within the Kipuka Alala section of the Pohakuloa Training Area (PTA) on the island of Hawai`i. Kipuka Alala is recognized by the Army to be an important habitat that contains a number of unique plant communities as well as populations of several listed or rare plant species. Additionally, Kipuka Alala has been identified as a potential site for the reintroduction of the Palila (Loxioides bailleui), an endangered species of Hawaiian Honeycreeper bird that was...
Categories: Data,
Publication;
Types: ArcGIS REST Map Service,
Citation,
Map Service;
Tags: Hawaii,
Hawaii Island,
Kipuka Alala,
Pohakuloa Training Area,
monitoring,
Wildfire is a dominant ridge to reef threat to human and natural communities in the Hawaiian Islands, with impacts to natural and cultural resources and ecoystem services. Fire regimes in Hawaii have shifted from very infrequent wildfire occurrence prior to human arrival to greatly increased frequency, intensity, and size over the past 100+ years, almost all of which is driven by anthropogenic ignitions and wildland fuels associated with invasive species, particularly grasses. Recent fire science has greatly increased understanding of contemporary drivers of fire in Hawaii; however, the social dimensions and historical perspectives from Hawaiian language primary sources have not been integrated into synthetic understanding...
We developed a screening system to identify introduced plant species that are likely to increase wildfire risk, using the Hawaiian Islands to test the system and illustrate how the system can be applied to inform management decisions. Expert-based fire risk scores derived from field experiences with 49 invasive species in Hawai′i were used to train a machine learning model that predicts expert fire risk scores from among 21 plant traits obtained from literature and databases. The model revealed that just four variables can identify species categorized as higher fire risk by experts with 90% accuracy, while low risk species were identified with 79% accuracy. We then used the predictive model to screen 365 naturalized...
Categories: Data,
Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Hawaii,
farming,
fire,
fire risk,
flammability,
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