Data

Annual (1986-2020) land-use/land cover maps at 30-meter resolution of the Tucson metropolitan area, Arizona and the greater Santa Cruz Watershed including Nogales, Sonora, Mexico. Maps were created using a combination of Landsat imagery, derived transformation and indices, texture analysis and other ancillary data fed to a Random Forest classifier in Google Earth Engine. The maps contain 13 classe

This dataset includes raster species distribution models of five pine species in the Madrean sky islands of Mexico and the United States. Models were trained using a large bi-national field dataset (n = 1,416) of pine species observations. Species distribution models were created for the following pine species: P. arizonica (syn. P. ponderosa var. arizonica); P. discolor (syn. P. cembroides var. b

This dataset consists of raster geotiff outputs from modeling habitat change, marsh vertical accretion, and carbon accumulation in the Nisqually River Delta, Washington, USA. These rasters represent projections of future habitat type, change in surface elevation above Mean Sea Level, and total sediment carbon accumulation since 2011 in coastal wetland habitats. Projections were generated in 20-yea

This dataset provides location information and some limited attributes of known and potential cienegas in the Madrean Archipelago ecoregion and closely surrounding area. This was created using point data and information provided by Dean Hendrickson and Thomas Minckley, combined with potential locations derived from analysis of classified raster land cover images and other specialized datasets. Cie

Burn probability (BP) models involve the simulation of multiple individual wildfires across a landscape to obtain estimates of fire likelihood at any given location based on ignition source, local terrain, fuels and weather. We used FlamMap software to generate BP for 10,000 simulated fires under the three ignition scenarios: human ignition scenario (HIS), lightning ignition scenario (LIS) and ran

Spatially explicit maps of annual forest carbon stocks and tabular estimates of land use/land cover change, LULC transitions, carbon stocks and carbon fluxes for selected regions and geographies. Estimates span the period from 2001-2020. Scenarios included are defined with a unique numerical identifier. scn160 = Full Simulation (Land use and Climate Effects) scn155 = Climate Effects only scn156

The data was collected to track the usage and downloads of the Global Food Security-support Analysis Data at 30 meters (GFSAD30) Cropland Extent Product. This data supports an Open File Report titled Global Food-Security-Support-Analysis Data at 30-m Resolution (GFSAD30) Cropland-Extent Products - Download Analysis. The GFSAD30 data is available for download on the National Aeronautics and Spate A

This dataset contains hydrological data collected at a series of leaky weirs on a working ranchland site in a semiarid ecosystem in Cochise County, Arizona, from 2018-2020. Leaky weirs are a type of structure being experimented with by land managers in aridlands to reduce peak flow events and increase recharge to the aquifer. The weirs are constructed of rock cemented into place in areas of expose

Cienegas, as defined here, are wetlands in arid and semi-arid regions associated with groundwater or lotic components that ideally result in perennial waters on temporal scales of decades to centuries. Cienegas are typically no lower than 0 m, and higher than 2000 m, rarely lower but sometimes higher elevation localities occur. Cienegas are typified by significant differences in flora and fauna re

Members from the U.S. Geological Survey (USGS) Patterns in the Landscape - Analyses of Cause and Effect (PLACE) team are releasing monthly surface water maps for the conterminous United States (U.S.) from 2003 through 2019 as 250-meter resolution geoTIFF files. The maps were produced using the Dynamic Surface Water Extent (DSWE) algorithm applied to daily Moderate Resolution Imaging Spectroradiome

To support coordinated conservation, wetland restoration, and climate adaptation planning, we have developed five future scenarios of the Central Valley's seasonally flooded cropland and wetland waterbird habitat based on the State's most recent climate and land use projections (Wilson et al. 2021).The USGS Western Geographic Science Center and Point Blue Conservation Science modeled a Business-as

This data release contains data used in an upcoming associated publication currently in review. The overarching effects and benefits of land management decisions, such as through watershed restoration, are often not fully understood due to a lacking control within an experimental design. This can be addressed through the application of a paired watershed approach, allowing for comparison between