Folders: ROOT > ScienceBase Catalog > Upper Midwest Environmental Sciences Center (UMESC) > Upper Midwest Environmental Sciences Center Data > National Wildlife Refuges > Model Inputs: Midwest Climate Change Vulnerability Assessment for the U.S. Fish and Wildlife Service ( Show all descendants )
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ROOT _ScienceBase Catalog __Upper Midwest Environmental Sciences Center (UMESC) ___Upper Midwest Environmental Sciences Center Data ____National Wildlife Refuges _____Model Inputs: Midwest Climate Change Vulnerability Assessment for the U.S. Fish and Wildlife Service Filters
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This dataset contains the input (temperature and precipitation from climate models) and output from the Soil and Water Assessment Tool (SWAT) model runs using the Hydrologic and Water Quality System (HAWQS) platform (https://hawqs.tamu.edu/). The HAWQS platform is an online tool developed by Texas A&M and US EPA to allow scientists and decision-makers to run large scale watershed simulation models using the Soil & Water Assessment Tool (SWAT) model without the need to download/install software, gather input data, perform initialization steps, or use up local computer resources. We ran the model at the Hydrologic Unit Code-8 scale over Region 3 of the United States Fish and Wildlife Service (Illinois, Indiana, Iowa,...
This file contains five metrics that were selected to collectively represent the adaptive capacity of each of the 360 HUC-8 watersheds in US Fish and Wildlife Service Region 3 (Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Ohio, and Wisconsin). The metrics were: percent cultivated, density of dams, projected increase in developed land cover, landscape diversity and local connectedness. Percent cultivated land cover was obtained from the National Agricultural Statistics Services 2018 Cultivated layer and was calculated by dividing the number of cultivated grid cells by the total number of grid cells in each watershed. Density of dams was calculated as the number of dams per area of the watershed using the...
Categories: Data;
Tags: Adaptation Planning,
Climate Change Vulnerability Assessment,
Decision-relevant Metrics,
Watershed Model,
biota,
This dataset contains the percent change in means (over 20-year periods) of annual climate change metrics calculated from the climate change inputs and the hydrology outputs from the HAWQS/SWAT model. The metrics are fifteen climate change indicators evenly divided into three categories: temperature, precipitation, and hydrology that were selected by resource managers working in Region 3 of the United States Fish and Wildlife Service. The projected percent change in each of these indicators from the baseline period (1986-2005) to the future period (2040-2059) in provided at the HUC-8 scale for USFWS Region 3 (Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Ohio, and Wisconsin).These indicators were used...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Adaptation Planning,
Climate Change Vulnerability Assessment,
Decision-Relevant Metrics,
Watershed Model,
biota,
This is a shiny application for an online dashboard that allows users to weight the importance of climate change indicators, along with metrics of adaptive capacity, to create a custom climate change vulnerability assessment at the hydrologic unit code-8 scale. This dashboard was requested by, and developed with input from U.S. Fish and Wildlife Service managers to aid in regional assessments of climate change vulnerability.
In order to better understand the combined impacts of climate change and spatially identify where changes are anticipated to be most extreme, we developed a climate change vulnerability map for the Midwest Region. The vulnerability map is watershed-based (Hydrologic Unit Code-8) and combines fifteen climate change indicators evenly divided into three categories: temperature, precipitation, and hydrology that were selected by resource managers working in Region 3 of the United States Fish and Wildlife Service. The projected change in each of these indicators from the baseline period (1986-2005) to the future period (2040-2059) was aggregated into a composite score for each watershed. Landscape-scale metrics reflective...
This dataset contains the means (over 20-year periods) of annual climate change metrics calculated from the climate change inputs and the hydrology outputs from the HAWQS/SWAT model. The metrics are fifteen climate change indicators evenly divided into three categories: temperature, precipitation, and hydrology that were selected by resource managers working in Region 3 of the United States Fish and Wildlife Service. The projected change in each of these indicators from the baseline period (1986-2005) to the future period (2040-2059) in terms of difference between the periods and the percent change. The percent change was converted to min-max normalization. This dataset represents the exposure component of the vulnerability...
Categories: Data;
Tags: Adaptation Planning,
Climate Change Vulnerabilty Assessment,
Decision-Relevant Metrics,
Watershed Model,
biota,
Script 1: This R script takes in the model outputs and climate inputs used for each model run performed in, and downloaded from, HAWQS to summarize 15 climate change exposure indicators. Script 2: This script takes the summarized climate change exposure indicators created using Script 1 and calculates the percent difference between the future and baseline period for each of the climate models. Script 3: This script was used to calculate metrics that represent the adaptive capacity of each watershed using existing datasets. See sources for each adaptive capacity dataset below. Script 4: This script takes the exposure indicators and the adaptive capacity indicators created in scripts 1-3 and applies weights that...
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