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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.
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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:...
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Wild insect pollination has significant positive effects on pollinator-dependent crop production. To assess the spatial distribution of demand for wild insect pollination, we mapped pollinator-dependent crops based on the 2011Cropland Data Layer.
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UW_Olallie_photo_metadata & image files: These are the raw timelapse photographs. The date/time stamp is inaccurate for the camera deployed in the open (at the SNOTEL) due to a programming error. This timestamp is one day early (i.e., subtract 1 day from the timestamp when using these data). Also available is metadata for two timelapse cameras and their associated snow depth poles (two visible in each camera's field of view) deployed at Olallie Meadows SNOTEL during water year 2015. One camera was deployed in the open area that is the Olallie Meadows SNOTEL station (the snow pillow is in the field of view). The other camera was deployed in the adjacent forest, approximately 60 m to the southeast of the SNOTEL....
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Daily HOBO Pro V.2 soil temperature measurements at the Great Dismal Swamp National Wildlife Refuge (2015-2017). Data collected in Great Dismal Swamp National Wildlife Refuge in Southern VA and Northern NC from 9 plot sites representing three general forest types: Atlantic White Cedar, Pocosin Pine, and Maple and Gum.
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RiverWare simulated daily averaged surface water permit requested diversions and diversions modeled in the spatially refined model region within the Red River Basin. Values reported are for 18 different climate projection scenarios and a historical scenario, from 2010 through 2099 and 1976 through 2005, respectively. The RiverWare model was used to determine the impacts on regulated flows, resevoir levels, and water permit reliability. RiverWare was used for this project because of its ability to simulate water use, reservoir operations, and local/interstate regulations.
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The zip file below contains raw input and output files for the 4 final version of the ALI Marxan model. The versions all have the same number of runs (100), number of iterations (35 million), SPF factor for each conservation feature,(100) and BLM (0.35). They vary in overall goal levels and whether or not facets were targeted. The four versions are: (1) high overall goal levels, facets not targeted;(2) medium overall goal levels, facets not targeted; (3) medium overall goal levels, facets not targeted; (4) medium overall goal levels, facets targeted at 15%. Please see the associated report (ALI 2013) for further details, and contact Madeline with any questions.
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This report summarizes the results from a climate change adaptation workshop focused on the Columbia Plateau landscape in eastern Washington and parts of Idaho and Oregon. The objective of the workshop was to collaborate with landscape managers to apply results from the Pacific Northwest climate change vulnerability assessment (PNWCCVA) to on-the-ground ecological management objectives. Specifically, we sought to address the following questions: How can model results and datasets be applied to assist with management decisions? How can model results and datasets be made more useful for informing species and landscape management?To this end, we presented information and data developed as part of the PNWCCVA to workshop...
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This project identifies priority areas in the Columbia Plateau Ecoregion to implement conservation strategies for riverine and riparian habitat. This is tailored towards the Arid Lands Initiative (ALI) conservation goals and objectives, and provides the foundation for adaptation to a changing climate. This project adopts a “zoned” approach to identifying focal areas, connectivity management zones and zones for riparian habitat and ecological representation. Through a series of workshops and webinars, the ALI articulated its freshwater conservation goals and targets. Key aspects of these goals included: a focus on non-anadromous salmonid (salmon and steelhead) species, include riparian birds and waterfowl as key...
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UI_Mica_Location: Location metadata and meteorological and snow depth observations from met towers in the Mica Creek Experimental Forest. Data were collected at 7 different station sites at approximately half-hour intervals for water years 2003-2006, with discontinuous records due to equipment malfunction or damage. Stations were located within different forest harvest treatment sections, applied to the watershed in approximately 2001, including clear-cut harvest, partial harvest, and control sections (both second growth and old growth control forests). Site Data Citation for full description of the field campaign and sites. UI_Mica_met: Metadata and associated snow depth and SWE observations from 14 manual...
The timing of life-history events in many plants and animals depend on specific environmental conditions that fluctuate with seasonal conditions. Climate change is altering environmental regimes and disrupting natural cycles and patterns across communities. Anadromous fishes that migrate between marine and freshwater habitats to spawn are particularly sensitive to shifting environmental conditions, and thus are vulnerable to the effects of climate change. However, for many anadromous fish species the specific environmental mechanisms driving migration and spawning patterns are not well understood. The data in this release are a supplement to the publication Legett et al. (2021). Daily patterns of river herring (Alosa...
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A monthly water balance model (MWBM) was driven with precipitation and temperature using a station-based dataset for current conditions (1949 to 2010) and selected statistically-downscaled general circulation models (GCMs) for current and future conditions (1950 to 2099) across the conterminous United States (CONUS) using hydrologic response units from the Geospatial Fabric for National Hydrologic Modeling (Viger and Bock, 2014). Six MWBM output variables (actual evapotranspiration (AET), potential evapotranspiration (PET), runoff (RO), streamflow (STRM), soil moisture storage (SOIL), and snow water equivalent (SWE)) and the two MWBM input variables (atmospheric temperature (TAVE) and precipitation (PPT)) were summarized...
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This data set includes bi-monthly data on submerged aquatic vegetation species composition, percent cover, above and below ground biomass and environmental data at coastal sites across the fresh to saline gradient in Barataria Bay, LA. This project was co-funded by the South Central Climate Adaptation Science Center and the Gulf Coast Prairie and the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperatives. An alternate reference to this product can be found here.
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THE CHICKASAW NATION HOSTED THIS RESEARCH SYMPOSIUM ON MARCH 22-24, 2022, HELD AT THE CHICKASAW RETREAT AND CONFERENCE CENTER IN SULPHUR, OK. After the Climate Workshop for The Chickasaw Nation in 2019, the Tribal managers discussed the need to include culture in conservation efforts and decided to seek a grant for culturally significant plants. This event was organized and led by the Chickasaw Nation and was funded by the U.S. Geological Survey through the South Central Climate Adaptation Science Center. There were 106 attendees with 75 Native representatives from 21 different tribes. There were 11 student attendees. Attendees came from all across the United States including Maine, New York, Michigan, Montana,...
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The three datasets were used in a model estimating the current and future persistence of 222 populations of southern hognose snakes, as estimated as part of the USFWS Species Status Assessment. Because these datasets contain information about sensitive species at risk of overcollection and harassment, they do not contain any spatial identifying information. The "HESIM_locs" dataset contains a list of southern hognose snake occurrence records with associated year of observation and population ID. The "SEsnakes_locs" dataset contains a list of non-target snake species occurrence records with associated year of observation and population ID. The "HESIM_pops_all" dataset contains a list of southern hognose snake populations...
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The Climate Adaptation Science Centers (CASCs) partner with natural and cultural resource managers, tribes and indigenous communities, and university researchers to provide science that helps fish, wildlife, ecosystems, and the communities they support adapt to climate change. The CASCs provide managers and stakeholders with information and decision-making tools to respond to the effects of climate change. While each CASC works to address specific research priorities within their respective region, CASCs also collaborate across boundaries to address issues within shared ecosystems, watersheds, and landscapes. These shapefiles represent the 9 CASC regions and the national CASC that comprise the CASC network, highlighting...
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This project will complete a tribally-based climate change vulnerability assessment t and adaptation plan for Eulachon that spawn in the Chilkoot and Chilkat rivers near Haines, Alaska. Local monitoring will collect data on spawning populations in the Chilkoot River, and a tribal stakeholder group will be convened to analyze climate change projections, apply traditional knowledge, rank climate vulnerabilities, and prioritized adaptation strategies.
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This is a set of scripts developed by Madeline Steele in 2013 as a part of the Arid Lands Initiative (ALI) spatial prioritization analysis. They are provided here both as methodological documentation and because they may be useful for other projects. They are not set up to be imported into an ArcGIS toolbox, and all path names would have to be changed before they could be used. They are commented, and variables should be at the top, but they are probably not very useful without a bit of previous Python experience. Please feel free to use and/or splice and dice these scripts, and contact Madeline if you have any questions. Madeline Steele GIS Specialist U.S. Fish and Wildlife Service, Pacific Region/SWCA madeline_steele@fws.gov,...
map background search result map search result map TNC Land Facets for the ALI analysis area ALI spatial prioritization python scripts ALI Marxan Analysis Planning Units Final ALI Marxan folders Final Report: Climate Vulnerability and Adaptation in the Columbia Plateau, WA Monthly Water Balance Model Futures Long format snow course observations, meteorological sensor observations,locations, and associated metadata for Mica Creek, Idaho Timelapse photos at SNOTEL station, locations, and associated metadata, Ollalie Meadows, Wash., 2015 Predicted climate and avian malaria risk to Hawaiian honeycreepers on the Island of Hawaii from 2098-2100 Maps of the USGS Climate Adaptation Science Centers (May 2024) Submerged aquatic vegetation and environmental data along a salinity gradient in Barataria Bay, Louisiana (2015) Selection frequency score Figure(6) 2016 population estimate report RMI Questionnaire data of the Marshall Islands Climate and Migration Project Southern hognose snake Species Status Assessment data products Pollinator-Dependent Crops in the Southeast United States (2011) Daily HOBO Pro V.2 soil temperature measurements at the Great Dismal Swamp National Wildlife Refuge (2015-2017) Simulated Daily Surface Water Permit Requested Diversions and Diversions for Southeast Oklahoma Pairwise comparisons of river herring run dynamics and environmental regimes among Massachusetts streams Evaluation Responses for Research Symposium: Culturally Significant Plants and Climate Change Timelapse photos at SNOTEL station, locations, and associated metadata, Ollalie Meadows, Wash., 2015 Long format snow course observations, meteorological sensor observations,locations, and associated metadata for Mica Creek, Idaho Daily HOBO Pro V.2 soil temperature measurements at the Great Dismal Swamp National Wildlife Refuge (2015-2017) 2016 population estimate report Predicted climate and avian malaria risk to Hawaiian honeycreepers on the Island of Hawaii from 2098-2100 Pairwise comparisons of river herring run dynamics and environmental regimes among Massachusetts streams Simulated Daily Surface Water Permit Requested Diversions and Diversions for Southeast Oklahoma TNC Land Facets for the ALI analysis area ALI spatial prioritization python scripts ALI Marxan Analysis Planning Units Final ALI Marxan folders Final Report: Climate Vulnerability and Adaptation in the Columbia Plateau, WA Submerged aquatic vegetation and environmental data along a salinity gradient in Barataria Bay, Louisiana (2015) Selection frequency score Figure(6) RMI Questionnaire data of the Marshall Islands Climate and Migration Project Southern hognose snake Species Status Assessment data products Evaluation Responses for Research Symposium: Culturally Significant Plants and Climate Change Pollinator-Dependent Crops in the Southeast United States (2011) Monthly Water Balance Model Futures Maps of the USGS Climate Adaptation Science Centers (May 2024)