Skip to main content
Advanced Search

Filters: partyWithName: Core Science Systems (X)

Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers ( Show direct descendants )

7 results (37ms)   

Location

Folder
ROOT
_ScienceBase Catalog
__National and Regional Climate Adaptation Science Centers
Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
As a low-lying island nation, the Republic of the Marshall Islands (RMI) is at the forefront of exposure to climate change impacts, including, primarily, inundation (coastal flooding). Increased water levels can stem from episodic events (storm surge, wave run-up, king tides) or from chronic conditions (long term sea-level rise). Land elevation is the primary geophysical variable that determines exposure to inundation in coastal settings. Accordingly, accurate coastal elevation data are a critical input for assessments of inundation exposure and vulnerability. Previous research has demonstrated that the quality of data used for elevation-based assessments must be well understood and applied to properly model potential...
thumbnail
This is a spatially-explicit state-and-transition simulation model of rangeland vegetation dynamics in southwest South Dakota. It was co-designed with resource management partners to support scenario planning for climate change adaptation. The study site encompasses part of multiple jurisdictions, including Badlands National Park, Buffalo Gap National Grasslands, and Pine Ridge Indian Reservation. The model represents key vegetation types, grazing, exotic plants, fire, and the effects of climate and management on rangeland productivity and composition (i.e., distribution of ecological community phases). See Miller et al. (2017) for further details. The model was built using the ST-Sim software platform (www.apexrms.com/stsm)....
thumbnail
U.S. Geological Survey (USGS) scientists conducted field work efforts during February 15-23, 2017 and April 10-25, 2019 in the mangrove forests of Pohnpei, Federated States of Micronesia (FSM) with logistical assistance from the Micronesia Conservation Trust (MCT) and field assistance from the Conservation Society of Pohnpei and the Pohnpei Department of Forestry. The field team combined the surveying technologies and techniques of Real-Time Kinematic (RTK) Global Navigation Satellite System (GNSS) surveying, total station surveying, and differential leveling to measure elevations on critical features in the mangrove forests, including the elevations of water level recorders, sediment coring locations, and Surface...
thumbnail
The Republic of the Marshall Islands (RMI) is a sovereign Small Island State in the tropical central North Pacific Ocean. RMI is a nation of more than thirty low-lying atolls and islands, most of which are inhabited, dispersed across an EEZ over 2 million square kilometers. Multiple hazards such as coastal flooding, wave overwash, and drought threaten freshwater and food security of the communities. In the atolls, vegetation consists of agroforest, coconut plantation, and coastal species. Because islands/ islets are small and low-lying, all vegetation is vulnerable to the hazards. Current drought hazard products provide generalities regarding conditions on a broad geographic scale, but do not consider exposure of...
thumbnail
U.S. Geological Survey (USGS) and University of Hawaii - Mānoa (UH) scientists conducted field data collection efforts from August 19th - 27th, 2019 at Pu‘uhonua O Hōnaunau National Historical Park on the Big Island of Hawaii. The data collection efforts utilized a combination of remote sensing technologies to map the topography, critical infrastructure, and most importantly, the cultural assets of Pu‘uhonua O Hōnaunau National Historical Park. The USGS and UH team collected Global Navigation Satellite System (GNSS), total station, and ground based lidar (GBL) data, along with utilizing Uncrewed Aerial Systems (UAS) to collect imagery and UAS lidar to map these features. This data release contains shapefiles of...
thumbnail
We developed this spatial database of historic and current floodplains to analyze trends in vegetation conditions, identify areas more at risk of degradation, and assess the relationship between riparian vegetation dynamics and climate conditions.Our study area is the riparian areas along the San Carlos River and Gila River within the San Carlos Apache Reservation and the Upper Gila River Level-4 Hydrologic Unit Code (HUC) watershed. The product was developed by digitizing the active channel and primary riparian floodplain using historic 1935 aerial imagery (Arizona State University GeoData, 2021) and National Agriculture Imagery Program (NAIP) aerial imagery from 2019 (U.S. Department of Agriculture, 2021). This...
thumbnail
Wildfires and housing development have increased since the 1990s, presenting unique challenges for fire management. However, it is unclear how the relative influences of housing growth and changing wildfire occurrence have contributed to risk to homes. We fit a random forest using weather, land cover, topography, and past fire history to predict burn probabilities and uncertainty intervals. Then, we estimated risk at 1-km resolution and monthly intervals from 1990 through 2019 by combining predicted burn probabilities with housing density across the Southern Rocky Mountains. We used 3 scenarios to evaluate how housing growth and changes in burn probability influenced risk individually and combined (observed, 1990...


    map background search result map search result map State-and-transition simulation model of rangeland vegetation in southwest South Dakota (1969-2050) Pohnpei, Federated States of Micronesia Mangrove Elevation Survey Data Changes in wildfire occurrence and risk to homes from 1990 through 2019 in the Southern Rocky Mountains, USA (data release) Topobathymetric Model of Pu‘uhonua O Hōnaunau National Historical Park, 2011 to 2019 – Field Survey Source and Validation Data Database of Riparian Floodplain Boundaries for the San Carlos and Gila Rivers on the San Carlos Apache Reservation and Upper Gila River Watershed (1935 - 2021) Republic of Marshall Islands Precipitation and Vegetation Monitoring Inundation Exposure Assessment for Select Islands in the Republic of the Marshall Islands Topobathymetric Model of Pu‘uhonua O Hōnaunau National Historical Park, 2011 to 2019 – Field Survey Source and Validation Data Pohnpei, Federated States of Micronesia Mangrove Elevation Survey Data State-and-transition simulation model of rangeland vegetation in southwest South Dakota (1969-2050) Database of Riparian Floodplain Boundaries for the San Carlos and Gila Rivers on the San Carlos Apache Reservation and Upper Gila River Watershed (1935 - 2021) Inundation Exposure Assessment for Select Islands in the Republic of the Marshall Islands Changes in wildfire occurrence and risk to homes from 1990 through 2019 in the Southern Rocky Mountains, USA (data release) Republic of Marshall Islands Precipitation and Vegetation Monitoring