Research Ecologist
Pacific Island Ecosystems Research Center
Email:
lfortini@usgs.gov
Office Phone:
808-230-3669
ORCID:
0000-0002-5781-7295
Location
PO Box 44
Hawaii National Park
, HI
96718
US
Supervisor:
Robert N Reed
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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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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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Fog has been demonstrated to support plant growth, survival and ecosystem maintenance spanning rainfall and elevation gradients across the world. Persistent fog and strong winds on high mountain slopes in Hawaiʻi create a unique ecological environment. We collected stem and basal diameter measurements of three native plant species at Nakula Natural Area Reserve, Maui, from 2016-2019 and numerous environmental variables to examine how rain, fog and soil moisture influence plant water deficit and growth.
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Landscape-scale conservation of threatened and endangered species is often challenged by multiple, sometimes conflicting, land uses. In Hawaiʻi, efforts to conserve native forests have come into conflict with objectives to sustain non-native game mammals, such as feral pigs, goats, and deer, for subsistence and sport hunting. Maintaining stable or increasing game populations represents one of the greatest obstacles to the recovery of Hawaii’s 425 threatened and endangered plant species. Many endemic Hawaiian species have declined and become endangered as a result of herbivorous non-native game mammals. Meanwhile, other environmental changes, including the spread of invasive grasses and changing precipitation patterns...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2018,
CASC,
Data Visualization & Tools,
Data Visualization & Tools,
Forests, All tags...
Forests,
Landscapes,
Landscapes,
Mammals,
Mammals,
Other Landscapes,
Other Landscapes,
Pacific Islands,
Pacific Islands CASC,
Plants,
Plants,
Projects by Region,
Science Tools for Managers,
Science Tools for Managers,
Wildlife and Plants,
Wildlife and Plants, 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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