Skip to main content
Advanced Search

Filters: Tags: Land Cover Change (X)

23 results (103ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
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...
thumbnail
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
thumbnail
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
thumbnail
Spruce-fir forests and associated bird species are recognized as some of the most vulnerable ecosystems and species to the impacts of climate change. This work capitalized on a rich suite of long-term data from these ecosystems to document recent trends in these forests and their associated bird species and developed tools for predicting their future abundance under climate change. Findings from this work indicate declining trends in the abundance of spruce-fir obligate birds, including Bicknell’s Thrush, across the Lake States and New England. In contrast, montane spruce-fir forests in the White and Green Mountains of New England exhibited patterns of increasing abundance, potentially due to their recovery from...
thumbnail
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...
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...
thumbnail
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,...
thumbnail
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...
thumbnail
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...
thumbnail
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...
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...
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...
thumbnail
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
thumbnail
This simulated ecosystem carbon dataset is used to report terrestrial carbon budget of the conterminous U.S. in the Golobal Change Biology paper "Critical land change information enhances understanding of carbon balance in the U.S." The data is derived from simulations of the parallel Integrated Biosphere simulator (pIBIS). Annual carbon variables cover 1971-2015 at 1-km (960m) spatial resolution with 3052 rows and 4823 columns. Carbon stock and flux units are in kgC/m2 and kgC/m2/yr, respectively. Data are in NetCDF format and Albers equal area projection. Overall data creation steps: 1. The pIBIS model was used to run simulations using climate, vegetation, soil and disturbance input data; 2. Model outputs were...
Phragmites australis live fractional cover (LFC) maps were created of the lower Mississippi River Delta (MRD) using satellite image data. The historical 2009 to 2016 P. australis marsh LFC maps were based on yearly Landsat image data. The 2016 to 2019 P. australis marsh LFC maps were based on yearly Sentinel-2 image data.
Understanding the terrestrial carbon budget, in particular the strength of the terrestrial carbon sink, is important in the context of global climate change. Considerable attention has been given to woody encroachment in the western US and the role it might play as a carbon sink; however, in many parts of the western US the reverse process is also occurring. The conversion of woody shrublands to annual grasslands involves the invasion of non-native cheatgrass (Bromus tectorum) which in turn leads to increased frequency and extent of fires. We compared carbon storage in adjacent plots of invasive grassland and native shrubland. We scaled-up the impact of this ecosystem shift using regional maps of the current invasion...
thumbnail
This simulated ecosystem carbon dataset is derived from simulations of the parallel Integrated Biosphere simulator (pIBIS). Annual carbon variables cover 1971-2015 at 1-km (960m) spatial resolution with 3052 rows and 4823 columns. Carbon stock and flux units are in kgC/m2 and kgC/m2/yr, respectively. Data are in NetCDF format and Albers equal area projection. Overall data creation steps: 1. The pIBIS model was used to run simulations using climate, vegetation, soil and disturbance input data; 2. Model outputs were converted to NetCDF format; 3. 1971-2015 subsets were clipped from original 1901-2015 simulation outputs. Variable List: aynbp – annual net biome productivity ayneetot – net ecosystem productivity aynpptot...


map background search result map search result map Modeling Effects of Climate Change on Spruce-Fir Forest Ecosystems and Associated Priority Bird Populations 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 Simulated 1km resolution 1971-2015 ecosystem carbon variables from the IBIS model (2017/09/12) 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) Phragmites australis live fractional cover yearly map from 2009 to 2019 of the lower Mississippi River Delta using Landsat and Sentinel-2 satellite data Simulated CONUS-wide 1-km resolution 1971-2015 ecosystem carbon variables from the IBIS model Phragmites australis live fractional cover yearly map from 2009 to 2019 of the lower Mississippi River Delta using Landsat and Sentinel-2 satellite data 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 Modeling Effects of Climate Change on Spruce-Fir Forest Ecosystems and Associated Priority Bird Populations 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 Historic US Housing Density for 1970 US Housing Density for 2010 Projected US Housing Density for 2050 Simulated 1km resolution 1971-2015 ecosystem carbon variables from the IBIS model (2017/09/12) Simulated CONUS-wide 1-km resolution 1971-2015 ecosystem carbon variables from the IBIS model