Drivers and uncertainties of forecasted range shifts for warm-water fishes under coupled climate and land cover change: Data

Metadata Updated: December 11, 2019

Each text file describes coupled climate and land use scenarios used to model species distributions under different greenhouse gas emissions trajectories and time periods. Three different greenhouse gas emissions trajectories (representative concentration pathways [RCPs]), were used as the basis for future scenarios, including the 2.6 (low emissions), 4.5 (medium-low emissions) and 8.5 (high emissions) W/m2 RCPs (IPCC 2013). Three GCMs were selected based on two criteria: 1) high performance in hindcasting climate variables for the study area (Sheffield et al. 2013), and 2) to encompass the full range of variability across future climate projections from all available GCMs (Knutti et al. 2013, Maloney et al. 2014). The GCMs selected included IPSL-CM5A (Institut Pierre-Simon Laplace), MRI-CGCM3 (Meteorological Research Institute), and NOR-ESM (Norwegian Climate Centre). The scenario-based climate data were downscaled for the study area through the use of weather generator techniques to provide monthly and annual air temperature and precipitation data for the years 2006 through 2099 (Schoof et al. 2007, Schoof et al. 2010). Three time periods were used in our scenarios: 2030-2039, 2060-2069, and 2090-2099. Climate variables were averaged across each time period. Logistic regression land cover models were developed for row-crops (corn, soybean and cotton), wheat, forest and grasslands within the study area (Stoebner and Lant 2014). Developed land and water classifications were not modeled and therefore assumed to not change under any scenario. Projections for each modeled land cover were made using the climate scenarios detailed above (Stoebner 2014). Each land cover projection produced a probability of occurrence of the land cover for each pixel in the study area, which were then calculated into percent within 12-digit hydrologic unit codes (HUC). All stream segments within a HUC were attributed the same land cover percentages.

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License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Metadata Date January 1, 9999
Metadata Created Date October 10, 2019
Metadata Updated Date December 11, 2019
Reference Date(s) June 6, 2018 (publication)
Frequency Of Update notPlanned
Frequency Of Update notPlanned

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Harvested from DOI CKAN Harvest Source

Additional Metadata

Resource Type Dataset
Metadata Date January 1, 9999
Metadata Created Date October 10, 2019
Metadata Updated Date December 11, 2019
Reference Date(s) June 6, 2018 (publication)
Responsible Party U.S. Geological Survey (Point of Contact)
Contact Email
Access Constraints Use Constraints: None. Users are advised to read the data set's metadata thoroughly to understand appropriate use and data limitations., Access Constraints: None. Please see 'Distribution Info' for details.
Bbox East Long 180.0
Bbox North Lat 90.0
Bbox South Lat -90.0
Bbox West Long -180.0
Coupled Resource
Frequency Of Update notPlanned
Harvest Object Id a110922b-3bd6-4042-9f43-9d5067181902
Harvest Source Id 34ce571b-cb98-4e0b-979f-30f9ecc452c5
Harvest Source Title DOI CKAN Harvest Source
Licence Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.
Metadata Language
Metadata Type geospatial
Progress completed
Spatial Data Service Type
Spatial Reference System
Spatial Harvester true

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