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This simulated ecosystem carbon dataset is used to report terrestrial carbon balance of the Nisqually River basin in the Ecological Modelling paper "Modeling watershed carbon dynamics as affected by land cover change and soil erosion" The data is derived from simulations of the LUCAS model. Annual carbon variables of 2017 at 30m spatial resolution with 2426 rows and 2459 columns. Carbon stock and flux units are in kgC/m2 and kgC/m2/yr, respectively. Data are in tif format and Albers equal area projection. Overall data creation steps: 1. The pIBIS model was used to generate annual carbon parameters of typical ecosystems. 2. The USPED model was used to generate annual soil erosion and deposition maps as affected by...
This study applies spatial analyses to examine the consequences of accelerated urban expansion on a hydrologic system over a period of 24 years. Three sets of historical aerial photos are used in a GIS analysis to document the geomorphic history of Las Vegas Wash, which drains the rapidly growing Las Vegas urban area in southern Nevada. New spatial techniques are introduced to make quantitative measurements of the erosion at three specific time intervals in the hydrologic evolution of the channel and floodplain. Unlike other erosion studies that use two different elevation surfaces to assess erosion, this study used a single elevation surface to remove systematic and nonsystemic elevation errors. The spatial analysis...
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This is a collection of data tables supporting the LCMAP CONUS Geographic Assessment v1.0. The data used to generate these tables come from the USGS LCMAP reference dataset and the map products released by LCMAP. Tables include annual land cover class composition and annual rate of land cover change metrics developed with a post-stratified estimator. Other tables including annual gross change of specific types of land covers, cumulative metrics of overall geographic footprint of change, frequency of overall geographic footprint of change, overall area estimates of specific class changes, and all unique changes in land cover classes. All tables cover the time period 1985-2016. All values in these tables are presented...
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Historic housing density model for 2070. The methods used to calculate these data sets are available on the NPScape website: http://science.nature.nps.gov/im/monitor/npscape/met
The data contained in these tables detail the areal extent of exposed sand, in square meters, along the Colorado River between Glen Canyon Dam, Arizona, and Bright Angel Creek, Arizona, within Glen Canyon National Recreation Area and Grand Canyon National Park. Sand exposure areas are provided as a function of Colorado River discharge, as measured at Lees Ferry, Arizona, in increments of 1000 cubic feet per second. Exposed sand extents are subdivided into mapped and unmapped sand areas; at Colorado River discharge; at flows below 8,000 cubic feet per second, the total extent of exposed sand can be estimated as the sum of field-mapped sand and that sand which was unmapped, but estimated to be present across the study...
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These data were created to describe the causes of land cover change that occurred in the Interior Highland region of the United States for the time intervals of 2001 to 2006 and 2006 to 2011. This region, which covers approximately 17.5 million hectares, includes portions of the U.S. states of Arkansas, Missouri, Oklahoma, and Kansas. Most of the area is covered by gently rolling hills of forests and pastureland. Two raster maps were created at a 30-meter resolution showing the causes of land change using automated and manual photo interpretation techniques. There were 30 categories of land change causes (i.e., forest harvest or surficial mining) discovered over the Interior Highlands. These categories can be used...
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Housing density model for 2010. The methods used to calculate these data sets are available on the NPScape website: http://science.nature.nps.gov/im/monitor/npscape/met
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The dataset was generated to describe historical land-use and land-cover (LULC)for the northern Colorado urban Front Range (which includes the cities of Boulder, Fort Collins, Greeley, and Denver) for an area covering approximately 1,023,660 hectares. The Front Range urban landscape is diverse and interspersed with highly productive agriculture as well as natural land cover types including evergreen forest in the Rocky Mountain foothills and Great Plains grassland. To understand the dynamics of urban growth, raster maps were created at a 1-meter resolution for each of four time steps, nominally 1937, 1957, 1977, and 1997. In total, 8 to 38 LULC classes were identified using manual interpretation techniques, aerial...
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The dataset was generated for the South Central Plains EPA level III ecoregion which extends through eastern Texas, northwestern Louisiana, southwest Arkansas, and a small portion of southeastern Oklahoma covering approximately 15.2 ha. Contained in the data set are land change causes that occurred between 2001 to 2006 such as forest harvest, surficial mining, and cropland expansion. Only those pixels (30-meter resolution) that have changed during the time period have their cause classified, otherwise no change is indicated between 2001 and 2006. In general, the process to create the data combined an automated and manual interpretation approach of spatial data to correctly identify land change causes. In the approach,...
We present evidence that land use practices in the plains of Colorado influence regional climate and vegetation in adjacent natural areas in the Rocky Mountains in predictable ways. Mesoscale climate model simulations using the Colorado State University Regional Atmospheric Modelling System (RAMS) projected that modifications to natural vegetation in the plains, primarily due to agriculture and urbanization, could produce lower summer temperatures in the mountains. We corroborate the RAMS simulations with three independent sets of data: (i) climate records from 16 weather stations, which showed significant trends of decreasing July temperatures in recent decades; (ii) the distribution of seedlings of five dominant...
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This raster data depicts the modeled distribution of three grassland states: Biocrust, Grass-bare, and Annualized-bare. We developed models of bare ground, total vegetation, exotic grasses and biological soil crust using spectral data from three year composites of growing season (March-October) Landsat data in Google Earth Engine and field data that were collected over the same period at monitoring sites. The resulting regression models were used to characterize the spatial distribution of putative grassland ecological states across our 251,430 ha study area in and around Canyonlands National Park, UT. This model illustrates how a remote sensing approach to land-cover change can be implemented to guide dryland ecosystem...
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Information about streamflow and streamflow variability is critical to assist natural resource managers when they make decisions related to the water needs of both human communities and ecosystems. In order for managers to effectively plan for and adapt to future climate and land cover conditions, they require information on changes that could occur in the distribution and quantity of water resources. Yet every watershed has a unique set of characteristics – such as differing topographies and geology – that affect how much water is available, the sources of water, and how it flows through the system. This means that water availability in every watershed can be affected differently by changes in climate and land...
We summarized annual remote sensing land cover classifications from the U.S. Geological Survey Land Cover Monitoring, Assessment, and Projection (LCMAP) annual time series to characterize forest change across the conterminous United States (CONUS) for the years 1985-2020. The raster output includes a map where each pixel is given an integer value based on the number of years in which it was classified as forest across the annual LCMAP time series. Values of 36 indicate the pixel was classified as forest across all years while a value of 0 indicates forests (tree cover) was never detected during the time series.
Recent trends of increasing woody vegetation in arid and semiarid ecosystems may contribute substantially to the North American C sink. There is considerable uncertainty, however, in the extent to which woody encroachment alters dryland soil organic carbon (SOC) and total nitrogen (TN) pools. To date, studies assessing SOC and TN response to woody plant proliferation have not explicitly assessed the variability caused by shrub age or size and subcanopy spatial gradients. These factors were quantified via spatially intensive soil sampling around Prosopis velutina shrubs in a semidesert grassland, using shrub size as a proxy for age. We found that bulk density increased with distance from the bole (P < 0.005) and...
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Housing density model for 2050. Projections are based on the Spatially Explicit Growth Model (SERGom). Â The methods used to calculate these data sets are available on the NPScape website: http://science.nature.nps.gov/im/monitor/npscape/methods.cfm
Past land use changes have greatly impacted global water resources, with often opposing effects on water quantity and quality. Increases in rain-fed cropland (460%) and pastureland (560%) during the past 300 years from forest and grasslands decreased evapotranspiration and increased recharge (two orders of magnitude) and streamflow (one order of magnitude). However, increased water quantity degraded water quality by mobilization of salts, salinization caused by shallow water tables, and fertilizer leaching into underlying aquifers that discharge to streams. Since the 1950s, irrigated agriculture has expanded globally by 174%, accounting for ∼90% of global freshwater consumption. Irrigation based on surface water...
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These data were compiled for use by researchers and land managers in studies of post-grazing change in Capitol Reef National Park. The data were initially used for and are associated with the McNellis et al., 2023 (see Larger Work Citation). Objective(s) of our study were to study landscape change (specifically plant cover measured through remote sensing) through time in Capitol Reef National Park. These data represent land cover and eight explanatory covariates measured through remote sensing over 21-30 years on two grazing allotments in Capitol Reef National Park, USA. These data were compiled and created for Capitol Reef National Park, Utah, USA from December 2020 to December 2022. These data were created by...
Categories: Data; Tags: Botany, Capitol Reef National Monument, Climatology, Colorado Plateau, Ecology, All tags...


map background search result map search result map Historic US Housing Density for 1970 US Housing Density for 2010 Projected US Housing Density for 2050 Data release for the Understanding recurrent land use processes and long-term transitions in the dynamic south-central United States, c. 1800 to 2006 Grassland State and Transition Map of Canyonlands National Park Needles District and Indian Creek Grazing Allotment Data release for the Historical land use and land cover for assessing the northern Colorado Front Range urban landscape Assessment of Water Availability and Streamflow Characteristics in the Southeastern U.S. for Current and Future Climatic and Landscape Conditions Data release for the Land Change Causes for the United States Interior Highlands (2001 to 2006 and 2006 to 2011 time intervals) Discharge records and sand extents along the Colorado River between Glen Canyon Dam and Phantom Ranch, Arizona LCMAP CONUS Geographic Assessment Data Tables v1.0 1985-2016 Raster map of CONUS forest change frequency from 1985-2020 Plant cover, climate, grazing disturbance, and soil class data from 1991-2020 compiled from remotely sensed data on two retired grazing allotments in Capitol Reef National Park, Utah, USA Plant cover, climate, grazing disturbance, and soil class data from 1991-2020 compiled from remotely sensed data on two retired grazing allotments in Capitol Reef National Park, Utah, USA Grassland State and Transition Map of Canyonlands National Park Needles District and Indian Creek Grazing Allotment Data release for the Historical land use and land cover for assessing the northern Colorado Front Range urban landscape Discharge records and sand extents along the Colorado River between Glen Canyon Dam and Phantom Ranch, Arizona Data release for the Understanding recurrent land use processes and long-term transitions in the dynamic south-central United States, c. 1800 to 2006 Data release for the Land Change Causes for the United States Interior Highlands (2001 to 2006 and 2006 to 2011 time intervals) Assessment of Water Availability and Streamflow Characteristics in the Southeastern U.S. for Current and Future Climatic and Landscape Conditions LCMAP CONUS Geographic Assessment Data Tables v1.0 1985-2016 Raster map of CONUS forest change frequency from 1985-2020 Historic US Housing Density for 1970 US Housing Density for 2010 Projected US Housing Density for 2050