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This project snapshot provides a brief overview of the project "Assessing the Potential Effects of Climate Change on Vegetation in Hawai`i Volcanoes National Park".
These data are netcdf files of the projected timing of the onset of thermal stress severe enough (>8 Degree Heating Weeks) to cause coral bleaching 2x per decade and 10x per decade (annual) under emissions scenarios RCP8.5 and RCP4.5. The projected timing (a year between 2006 and 2100) is the data value. Values are only shown for the ~60,000 four-km pixels where coral reefs are known to occur.
Abstract (from http://www.sciencedirect.com/science/article/pii/S1873965215000110): The goal of this study was to assess the importance of the 2007 sea ice retreat for hydrologic conditions on the Alaskan North Slope, and how this may have influenced the outbreak of tundra fires in this region. This study concentrates on two years, 2007 and 1996, with different arctic sea ice conditions and tundra fire activity. The year of 2007 is characterized by a low summer sea ice extent (second lowest) and high tundra fire activity, while 1996 had high sea ice extent, and few tundra fires. Atmospheric lateral boundary forcing from the NCEP/NCAR Reanalysis drove the Weather Research and Forecast (WRF) model, along with varying...
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These files include historical downscaled estimates of decadal average monthly snow-day fraction ("fs", units = percent probability from 1 – 100) for each month of the decades from 1900-1909 to 2000-2009 at 771 x 771 m spatial resolution. Each file represents a decadal average monthly mean. Version 1.0 was completed in 2015 Version 2.0 was completed in 2018 These snow-day fraction estimates were produced by applying equations relating decadal average monthly temperature to snow-day fraction to downscaled decadal average monthly temperature. Separate equations were used to model the relationship between decadal monthly average temperature and the fraction of wet days with snow for seven geographic regions in the...
This is a collaborative project to support enhanced camas prairie monitoring and synthesis of existing camas lily monitoring data in the Weippe Prairie Unit of Nez Perce National Historical Park (NEPE) and in Big Hole National Battlefield (BIHO), within the Upper Columbia Basin Network (UCBN). The NPS will work with Oregon State University (OSU) to: (1) Synthesize camas monitoring data from NEPE and BIHO dating back to 2005 with weather and soil moisture and water table data to describe how variation in climate and weather influences soil moisture and camas density and flowering rates; (2) augment the existing camas monitoring protocol with new standard operating procedures for establishing and surveying permanent...
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Changes in stream temperature can have significant impacts on water quality and the health and survival of aquatic fish and wildlife. Water managers, planners, and decision makers are in need of scientific data to help them prepare for and adapt to changes and conserve important resources. Scientists are tasked with ensuring that this data is produced in useful formats and is accessible to these stakeholders. In October 2015, project researchers hosted and facilitated a 1.5 day workshop, “Data Storage, Dissemination and Harvesting”, that brought together over 50 stakeholders from state and federal agencies, tribal governments, universities, and non-profit organizations interested in monitoring stream temperature...
Abstract (from http://www.bioone.org/doi/abs/10.2112/JCOASTRES-D-13-00202.1): Traditional long-term (decadal) and large-scale (hundreds of kilometers) shoreline change modeling techniques, known as single transect, or ST, often overfit the data because they calculate shoreline statistics at closely spaced intervals along the shore. To reduce overfitting, recent work has used spatial basis functions such as polynomials, B splines, and principal components. Here, we explore an alternative to such basis functions by using regularization to reduce the dimension of the ST model space. In our regularized-ST method, traditional ST is an end member of a continuous spectrum of models. We use an evidence information criterion...
Abstract (from http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-15-0088.1): A comprehensive understanding of the spatial, seasonal, and diurnal patterns in cloud cover frequency over the Hawaiian Islands was developed using high-resolution image data from the National Aeronautics and Space Administration’s Moderate Resolution Imaging Spectroradiometer (MODIS) sensors aboard the Terra and Aqua satellites. The Terra and Aqua MODIS cloud mask products, which provide the confidence that a given 1-km pixel is unobstructed by cloud, were obtained for the entire MODIS time series (10-plus years) over the main Hawaiian Islands. Monthly statistics were generated from the daily cloud mask data, including mean cloud cover...
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Our project focuses on understanding patterns and causes of recent population declines in the Haleakala silversword that are associated with decreasing precipitation, increasing temperature, and related climate changes in Hawaii’s high-elevation ecosystems. The Haleakala silversword is an ideal taxon with which to assess impacts from climate change. It forms the foundation of a diverse alpine community and likely reflects wider ecological changes; it is already exhibiting patterns of mortality consistent with an upslope shifting distribution; and its high visibility and symbolic status make it unmatched in educational potential. Building on extensive research infrastructure, we propose to collect the demographic...
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This project used species distribution modeling to assess the risk to habitat change under various climate change scenarios for rare plants. To predict the response of rare plant species to climate change, the project modeled the current distribution of the species using climate and environmental data (e.g., soils, disturbance, land-use), use these models to predict the species distribution given climate change, calculate current and future range size, calculate the amount of overlap of predicted future distribution with current distribution, and assess where barriers and protected areas are located with reference to the change in species distribution. Given the results of the distribution modeling, each species...
This report identifies needs and opportunities in the United States Affiliated Pacific Islands (USAPI) region relative to climate change science, management, and adaptation strategies. The region includes the territories of Guam and American Samoa, the Commonwealth of the Northern Marianas (CNMI), and the independent states of Palau, Federated States of Micronesia (FSM), and the Republic of the Marshall Islands (RMI). This inventory is responsive to the Pacific Islands Climate Science Center (PICSC) Strategic Science Agenda and its articulation with the region.
Categories: Data, Publication; Types: Citation; Tags: Pacific Islands CASC


map background search result map search result map Assessing and Mapping Rare Plant Species Vulnerability to Climate Change Understanding how climate change is affecting Hawaii's high-elevation ecosystems: an assessment of the long-term viability of Haleakala silverswords and associated biological communities Prioritizing Stream Temperature Data Collection to Meet Stakeholder Needs and Inform Regional Analyses Understanding how climate change is affecting Hawaii's high-elevation ecosystems: an assessment of the long-term viability of Haleakala silverswords and associated biological communities Assessing and Mapping Rare Plant Species Vulnerability to Climate Change Prioritizing Stream Temperature Data Collection to Meet Stakeholder Needs and Inform Regional Analyses