This capacity-building activity supported three tribal college and university (TCU) mini-grants to initiate student phenological and meteorological observation projects in support of climate change research, to document impacts of climate change and development of indigenous geography curriculum. Students made observations of culturally and/or traditionally significant plants to generate data sets for use in climate change impact assessment of these plants and plant communities. The activity contributed to the larger national efforts of the Smithsonian National Museum of the American Indian’s “Indigenous Geography” curricula, by engaging with students at tribal colleges to explore the linkage between the “seasonality”...
This folder contains 7 excel files with data from a household questionnaire survey (N=199) conducted for the Marshall Islands Climate and Migration project. The fieldwork took place in March and April 2017. Besides the excel file, the folder also contains the original questionnaire in PDF format. The questionniare looked at livelihood, perceptions of climate change and ecosystem services and migration behaviour. The excel files are 1 file for the main questionnaire data and 6 additional files with data from tables in the questionnaire. Each variable in the questionnaire starts with a Leter (A-K) and a number. This refers to the question number in the questionnaire. The databases uses 3 codes for missing values:...
Literature review and report: "Background Information for 'Agroforestry in the Climate of the Marshall Islands' Extension Website"
(1) This written report summarizes and synthesizes results of literature review, interviews, and workshops, providing the scientific basis for and extension strategies for the management recommendations provided in the "green website" [Data Input New Collection]. The report includes an addendum regarding reference bibliographies and a references list with citations. (2) Selected, unusual references that are not readily available online or through standard academic sources were collected by the project. (3) Selected photographs are retained by the project in electronic form.
This dataset includes stream temperatures from two data loggers installed at one site in the Little Blitzen River of SE Oregon as part of a redband trout (Oncorhynchus mykiss gairdnerii) study. The site was used as an undisturbed reference in comparison with similar temperature monitoring sites in the Willow-Whitehorse watershed that experienced a 2012 fire that burned nearly the entire watershed.
We mapped eleven years of cheatgrass dieoff in the northern Great Basin. If we estimated that a dieoff occurred in a pixel anytime during that eleven year period, then the pixel was coded as dieoff. If no dieoff occurred, the pixel was coded as a non dieoff. The cheatgrass dieoff probability map was produced by inputting the coded data into a decision-tree model along with topographic data, edaphic data, land cover data, and climate data. A proxy for latitude was included. The resulting model was input into a mapping application that generated a map of cheatgrass dieoff probability.
The following are interview transcripts from the project "Assessing Climate Change Effects on Natural and Cultural Resources of Significance to Northwest Tribes". Interviews were conducted by Sammantha Hatfield during 2014 on the impact of climate change to members of local indigenous communities in the Pacific Northwest. Transcripts were redacted to prevent release of sensitive information.
Topography - Aspect, Elevation, Hillshade, Solar Radiation (PRR), Slope, and Topographic Ruggedness Index (TRI)
Daily streamflow and reservoir water elevation data for modeled locations in the Red River Basin. Values reported are for 18 different GCM (Global Climate Model) / RCP (Representative Concentration Pathway) / GDM Downscaling scenarios. Climate data from each scenario was input into a Variable Infiltration Capacity (VIC) model, that output flow values. These values were then input into RiverWare, to determine the impacts on regulated flows, lake levels and water availability. RiverWare was used for this project, because of its ability to simulate water use, reservoir operations, and local/interstate regulations.
This website provides access to a broad range of information related to seasonal climate variability in the Republic of the Marshall Isalnds. It includes a quick-look at current and future conditions for a range of climate indicators, direct access to more detailed outlook-related information from stations and statellites, and products that place this information in a histrorical context. It also includes links to addtional sources of information.
Source code used in support of "Spatial and temporal variability in the effects of wildfire and drought on thermal habitat for a desert trout"
Informing adaptation strategies for maintaining landscape connectivity for Northern Rockies wildlife in the face of climate change
Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate change. The U.S. Northern Rockies still support a full suite of native wildlife, and survival of these populations depends on connected landscapes. Connected landscapes support current migration and dispersal as well as future shifts in species ranges that will be necessary for species to adapt to our changing climate. Working in partnership with state and federal resource managers and private land trusts, we sought to: 1) understand how future climate change may alter habitat composition of landscapes expected to serve as important connections for wildlife,...
The Multivariate Adaptive Constructed Analogs(MACA)(Abatzoglou, Brown, 2011) method is a statistical downscaling method which utilizes a training dataset (i.e. a meteorological observation dataset) to remove historical biases and match spatial patterns in climate model output. The following products are available: MACAv1-METDATA is available for the Western USA, while MACAv2-LIVNEH/MACAv2-METDATA are available over the entire conterminous USA. MACAv2-LIVNEH/MACAv2-METDATA both use the newest version of the MACA method (version 2), while MACAv1-METDATA uses version 1. Both methods are very similar to that described by Abatzoglou and Brown, 2011. MACAv2-METDATA
The “Coral Atoll Agroforestry Plant Screener” is a simple plant sorting tool designed and built specifically for use on the coral atolls and islands of the Republic of the Marshall Islands. The purpose of this tool is to improve plant resiliency and protect island ecosystems by selecting and planting non-invasive species that are better able to withstand extreme conditions brought on by changing climates. It is a revised version of the NRCS PIA Vegetative Guide (see “Data Input Existing Collection in the Data Management Plan”).
Fishtail huc12: Indices and supporting data characterizing the current (1961-2000) and future (2041-2080) risk to fish habitat degradation in the Northeast Climate Science Center region
This dataset represents results from this study attributed to the Hydrologic Unit Code (HUC) 12 watershed boundaries. Human impacts occurring throughout the Northeast and Midwest United States, including urbanization, agriculture, and dams, have multiple effects on the region’s streams which support economically valuable stream fishes. Changes in climate are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing stream water temperatures. To manage streams for current impacts and future changes, managers need region-wide information for decision-making and developing proactive management strategies. Our project met that need by integrating results...
This climate and vegetation index dataset was collected from readily available open source data, such as Landsat. The data represents points across the northern Colorado plateau. The vegetation type was defined based on U.S. Geological Survey ReGAP data. Using compositing techniques by season we developed a dataset of lag and legacy for each point. We could then look to understand how both lag and legacy impacted vegetation production across the time series. In this dataset we focus on the soil adjusted vegetation index (SAVI), the standardized precipitation and evapotranspiration index (SPEI), and precipitation. Included in this dataset are climate lags of 3,6,9 and 12 months. Additionally, the legacy construct...
ReadMe file to accompany the report "Mapping Cheatgrass Dieoff in the Northern Great Basin using Ecosystem Performance Modeling"
Three main folders are associated with this readme file. They are: 1. "Files", which contains two subfolders, "Dieoffs" and "PercentCover". a) The "Dieoff" subfolder contains every year's modeled cheatgrass dieoff estimates and their associated files, including a layer file. The dieoff estimates’ file format is ERDASImagine signed 16-bit. Values < -100 are underperforming relative to weather and site conditions and > 100 are performing relative to weather and site conditions. b) The "PercentCover" subfolder contains every year's modeled cheatgrass percent cover estimates and their associated files, including a layer file. The cheatgrass percent cover format is ERDAS Imagine signed 8-bit....
A Continuous, Transboundary, 50-meter DEM for the Alaska Perhumid Coastal Temperate Rainforest (AKPCTR_DEM)
AKPCTR_DEM is a 50-meter resolution, bare-earth digital elevation model (DEM) in raster (geotiff) format. The perhumid (wettest) region of the North American coastal temperate rainforest (PCTR) extends along the coast of British Columbia and southeast Alaska between approximately 50.57 and 59.6 degrees north latitude.The extent of this dataset includes all of the Alaska and Canada watersheds that discharge into southeast Alaska coastal waters, which covers essentially the northern half of the PCTR. **General Methods:** Using Desktop ArcGIS version 10.3.1, the following three elevation datasets were combined to create a continuous DEM for the Alaska perhumid coastal temperate rainforest (AKPCTR) watersheds: 1)...
Ecosystem Dynamics and Fate of Warm Permafrost after Tundra Wildfire and Lake Drainage on the Yukon-Kuskokwim Delta
The Yukon-Kuskokwim Delta (YKD) encompasses the southernmost, warmest parts of the arctic tundra biome and is renowned for its high biological productivity and large subsistence-based human population. Ice-rich permafrost currently is widespread and strongly influences terrestrial and aquatic habitats, including local topography, vegetation, soil hydrology, and the water balance of lakes. Ground temperatures are near the freezing point, however, and recent projections indicate that the YKD is poised for widespread loss of permafrost by the end of this century. This has implications for the region’s extensive and heretofore stable terrestrial and aquatic habitats. Tundra wildfire is a common ecological “pulse” disturbance...
The dataset contains a time series (2000-2013) of cheatgrass percent cover maps covering the western and central areas of the northern Great Basin. The original time series (2000 to 2010) has been extended to include years 2011, 2012, and 2013. The additional maps were built by applying satellite data from their respective years to model parameters developed from the 2000 to 2010 model
Datasets for "Climate Change Research in Support of Hawaiian Ecosystem Management: An Integrated Approach"
In the expectation that global climate will change steadily in the coming decades, this research project had the goal to obtain a more detailed view of the climatic changes that Hawai’i could experience by the mid and late 21st century. Given the importance of rainfall for Hawaiian ecosystems and freshwater reserves, this project investigated past seasonal rainfall pattern and developed a statistical model to estimate future rainfall changes for the major islands. As a result of this research, high-resolution maps and data are now available that researchers can use to study potential impacts on endangered species, or use the rainfall changes as input in decision-support tools.This data product provides data files...