Projected wetland densities under 10 different climate models and 3 land use and land cover scenarios. This file contains projected wetland densities under each combination of land use and climate.

This data release encompass numerous studies examining soil properties and greenhouse gas fluxes of Prairie Pothole Region (PPR) wetland catchments. The PPR is one of the largest wetland ecosystems in the world, encompassing approximately 770,000 square kilometers of the north-central U.S. and south-central Canada, with the U.S. portion including parts of Iowa, Minnesota, South Dakota, North Dakota, and Montana. The data included in this release span a 19-year period (1997–2016) and represent a diversity of studies ranging from localized (e.g., wetland catchments and complexes) to region-wide efforts that span the PPR’s climate and land-use gradient. Data from individual wetland catchments encompass a variety of wetland classes ranging from small, ephemerally-ponded wetlands to large, shallow lakes. Although study designs and methodologies differ slightly among the studies, the overarching methods are comparable and allow the data to be combined into a single data release. The data release consists of combined datasets (i.e., all studies) for soils, greenhouse gases, topography, water chemistry, weather, and covariate or explanatory variables such as water depth, soil moisture, and temperature. A majority of the studies also present data from the entire wetland catchment, with data collected from numerous landscape positions along transects spanning from the wetland center to the catchment boundary. Sample frequency among the studies ranges from a single site visit per year, to season-long, biweekly sample events across multiple years.

This data release encompass numerous studies examining soil properties and greenhouse gas fluxes of Prairie Pothole Region (PPR) wetland catchments. The PPR is one of the largest wetland ecosystems in the world, encompassing approximately 770,000 square kilometers of the north-central U.S. and south-central Canada, with the U.S. portion including parts of Iowa, Minnesota, South Dakota, North Dakota, and Montana. The data included in this release span a 19-year period (1997–2016) and represent a diversity of studies ranging from localized (e.g., wetland catchments and complexes) to region-wide efforts that span the PPR’s climate and land-use gradient. Data from individual wetland catchments encompass a variety of wetland classes ranging from small, ephemerally-ponded wetlands to large, shallow lakes. Although study designs and methodologies differ slightly among the studies, the overarching methods are comparable and allow the data to be combined into a single data release. The data release consists of combined datasets (i.e., all studies) for soils, greenhouse gases, topography, water chemistry, weather, and covariate or explanatory variables such as water depth, soil moisture, and temperature. A majority of the studies also present data from the entire wetland catchment, with data collected from numerous landscape positions along transects spanning from the wetland center to the catchment boundary. Sample frequency among the studies ranges from a single site visit per year, to season-long, biweekly sample events across multiple years.

A study was conducted during 2004 to examine soil carbon storage of Prairie Pothole Region wetland catchments. These data represent the soil profile descriptions performed during that study; the remaining data were published previously (https://doi.org/10.5066/F7KS6QG2). Soil profile descriptions were performed at 270 temporary, seasonal, and semipermanent wetland catchments distributed throughout the Glaciated Plains and Missouri Coteau physiographic regions of the Prairie Pothole Region. Data were collected from four to six wetland and upland zones of the catchment. Study sites included cropland, restored grassland (formerly cropland), and native prairie (no cultivation history) catchments located in Iowa, Minnesota, Montana, North Dakota, and South Dakota.

A study was conducted during 2004 to examine soil carbon storage of Prairie Pothole Region wetland catchments. These data represent the soil profile descriptions performed during that study; the remaining data were published previously (https://doi.org/10.5066/F7KS6QG2). Soil profile descriptions were performed at 270 temporary, seasonal, and semipermanent wetland catchments distributed throughout the Glaciated Plains and Missouri Coteau physiographic regions of the Prairie Pothole Region. Data were collected from four to six wetland and upland zones of the catchment. Study sites included cropland, restored grassland (formerly cropland), and native prairie (no cultivation history) catchments located in Iowa, Minnesota, Montana, North Dakota, and South Dakota.

This dataset provides a compilation of the wetland characteristics, water quality, and aquatic macroinvertebrate community metric data collected from 159 wetlands in the Prairie Pothole Region of Montana and North Dakota.

This dataset provides a compilation of the wetland characteristics, water quality, and aquatic macroinvertebrate community metric data collected from 159 wetlands in the Prairie Pothole Region of Montana and North Dakota.

This data release presents input data for plot- and landscape-scale models of Prairie Pothole Region wetland methane emissions as a function of explanatory variables and remotely sensed predictors. Field data for the plot- and landscape-scale models span the years 2003-2016 and 2005-2016, respectively. The data release also includes R programming code to run the generalized additive model (GAM; plot scale) and random forest (RF; landscape scale) model of methane flux rates. Input data were extracted and modified from existing sources, and combined to facilitate model development, as well as six scenario-based model runs (two historical, four future). Briefly, a bottom-up approach was used to develop a spatially explicit, temporally dynamic model of methane emissions from Prairie Pothole Region (PPR) wetlands. A dataset of greater than 18,000 static-chamber flux measurements along with environmental covariates was used to develop a chamber-based (plot) model of methane flux, which was then used to inform a landscape-model using remotely sensed predictors. Covariates for the chamber-based model included soil water-filled pore space, soil temperature, wetland size, hydroperiod, land cover, growing season interval, and normalized difference vegetation index (NDVI). Predictors for upscaling included the Dynamic Surface Water Extent based on Landsat 4, 5, 7, and 8 for the presence, permanence, and extent of surface water, ClimateNA for historical and future temperatures, and the North American Land Change Monitoring System for land cover. Model runs included historical dry (1991) and wet (2011) years, as well as future Socioeconomic Pathways emissions scenarios (SSP2-4.5, SSP5-8.5).

The USGS’s FORE-SCE model was used to produce unprecedented landscape projections for the Prairie Potholes region of the northern Great Plains of the United States. The projections are characterized by 1) high spatial resolution (30-meter cells), 2) high thematic resolution (29 land use and land cover classes), 3) broad spatial extent (covering much of the Great Plains), 4) use of real land ownership boundaries to ensure realistic representation of landscape patterns, and 5) representation of both anthropogenic land use and natural vegetation change. A variety of scenarios were modeled from 2014 to 2100, with decadal timesteps (i.e., 2014, 2020, 2030, etc.). Modeled land use and natural vegetation classes were responsive to projected future changes in environmental conditions, including changes in groundwater and water access. Eleven primary land-use scenarios were modeled, from four different scenario families. The land-use scenarios focused on socioeconomic impacts on anthropogenic land use (demographics, energy use, agricultural economics, and other socioeconomic considerations). The following provides a brief summary of the 11 major land-use scenarios. 1) Business-as-usual - Based on an extrapolation of recent land-cover trends as derived from remote-sensing data. Overall trends were provided by 2001 to 2011 change in the National Land Cover Database, while change in crop types were extrapolated from 2008 to 2014 change in the Cropland Data Layer. Overall the scenario is marked by expansion of high-value traditional crops (corn, soybeans, cotton), with a concurrent decline in dryland wheat and some other lower-value crops. 2) Billion Ton Update scenario ($40 farmgate price) - This scenario is based on US Department of Energy biofuel scenarios from the Billion Ton Update (BTU). The $40 scenario represents likely agricultural conditions under an assumed farmgate price of $40 per dry ton of biomass (for the production of biofuel). This is the least aggressive BTU scenario for placing "perennial grass" (for biofuel feedstock) on the landscape. 3) Billion Ton Update scenario ($60 farmgate price) - This scenario is based on US Department of Energy biofuel scenarios from the Billion Ton Update. The $60 scenario represents likely agricultural conditions under an assumed farmgate price of $60 per dry ton of biomass (for the production of biofuel). At the higher farmgate price, the perennial grass class expands dramatically. 4) Billion Ton Update scenario ($80 farmgate price) - This scenario is based on US Department of Energy biofuel scenarios from the Billion Ton Update. The $80 scenario represents likely agricultural conditions under an assumed farmgate price of $80 per dry ton of biomass (for the production of biofuel). With the high farmgate price, this scenario shows the highest expansion of perennial grass among the 11 modeled scenarios. 5) GCAM Reference scenario - Based on global-scale scenarios from the GCAM model, the "reference" scenario provides a likely landscape under a world without specific carbon or climate mitigation efforts. As such, it's another form of a "business-as-usual" scenario. 6) GCAM 4.5 scenario - Based on global-scale scenarios from the GCAM model, the GCAM 4.5 model represents a mid-level mitigation scenario, where carbon payments and other mitigation efforts result in a net radiative forcing of ~4.5 W/m2 by 2100. Agriculture becomes even more concentrated in the Great Plains and Midwestern US, resulting in substantial increases in cropland (including perennial grass used as feedstock for cellulosic biofuel production). 7) GCAM 2.6 scenario - Based on global-scale scenarios from the GCAM model, the GCAM 2.6 model represents a very aggressive mitigation scenario, where carbon payments and other mitigation efforts result in a net radiative forcing of only ~2.6 W/m2 by 2100. Agriculture becomes even more concentrated in the Great Plains and Midwestern US, resulting in substantial increases in cropland

This data release includes characteristics of wetland catchments associated with U.S. Fish and Wildlife conservation easement lands located in the Prairie Pothole Region of North Dakota. Characteristics include wetland catchment areas, slope length, land use, soil mapping unit, and slope grades of representative soils. County and ecoregion also are included. Summary data pertaining to lateral setback distances, or drainage setbacks, also are presented by county and soil mapping unit for a range of subsurface drainage system characteristics (i.e., drain pipe depth and diameter). Additionally, calculated variables used for data analyses and presentation in the manuscript associated with this data release are included.