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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...
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This data set describes the predicted daily climate (temperature and rainfall) for low, mid, and high-elevations on Mona Loa, Island of Hawaii from 2098-2100. Climate predictions are based on 3 alternative climate scenarios (RCP 4.5, A1B, and RCP 8.5) - see Liao et al. 2015 for more details and climate references. The predicted daily risk of susceptible Hawaiian honeycreepers are based on the daily climate data, mosquito abundance and other factors. Also see Samuel et al. 2011 The dynamics, transmission, and population impacts of avian malaria in native Hawaiian birds: a modeling approach. Ecological Applications 21:2960-2973 for description of the epidemiological model used for avian malaria risk predictions.
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Birds,
Culex mosquitoes,
Downscaled climate models,
Hawaiian honeycreepers,
Mona Loa, All tags...
Pacific Islands CASC,
Wildlife and Plants,
avian malaria,
epidemiological model, Fewer tags
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The Hawaiian Islands are home to a variety of native species that have been subject to numerous threats including development of habitat for human use, predation by introduced herbivores, and competition with invasive plant species. In addition to these threats global climate change is expected to increase temperature and alter patterns of precipitation in Hawaii. This project models the relative vulnerability of native plant species to the effects of climate change, in order to assist resource managers in effectively allocating limited resources to efficiently preserve and protect current and future habitat for native plants. We modeled vulnerability by creating an expert system – a network model linking biological...
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Current and year 2100 (SRES A1B) climate envelopes for all native species datasets for “A landscape-based assessment of climate change vulnerability for native Hawaiian plants”.
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R scripts for replicating analysis
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