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What are current conditions for important park natural resources? What are the critical data and knowledge gaps? What are some of the factors that are influencing park resource conditions? Natural Resource Condition Assessments (NRCAs) evaluate and report on the above for a subset of important natural resources in national park units (hereafter, parks). Focal study resources and indicators are selected on a park-by-park basis, guided by use of structured resource assessment and reporting frameworks. Considerations include park resource setting and enabling legislation (what are this park's most important natural resources?) and presently available data and expertise (what can be evaluated at this time?). In addition...
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Natural landscapes in the Southwestern United States are changing. In recent decades, rising temperatures and drought have led to drier conditions, contributed to large-scale ecological impacts, and affected many plant and animal species across the region. The current and future trajectory of climate change underscores the need for managers and conservation professionals to understand the impacts of these patterns on natural resources. In this regional assessment of the Southwest Climate Change Initiative, we evaluate changes in annual average temperatures from 1951–2006 across major habitats and large watersheds and compare these changes to the number of species of conservation concern that are found within these...
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Climate Distance Mapper is an interactive web mapping application designed to facilitate informed seed sourcing decisions and to aid in directing regional seed collections. Implemented as a shiny web application (Chang et al. 2017), Climate Distance Mapper is hosted on the web at: https://usgs-werc-shinytools.shinyapps.io/Climate_Distance_Mapper/. The application is designed to guide restoration seed sourcing in the desert southwest by allowing users to interactively match seed sources with restoration sites climatic differences – in the form of multivariate climate distance values – between restoration sites and the surrounding landscape. Climatic distances are based on a combination of variables likely to influence...
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Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset provides coverage for future climate (defined as the 2040-2070 normal period) under the RCP4.5 emission scenarios. Climate variables were chosen based on their known influence on local adaptation in plants, and include: mean annual temperature, summer maximum temperature, winter minimum temperature, annual temperature range, temperature seasonality (coefficient of variation in monthly average temperatures), mean annual precipitation, winter precipitation, summer precipitation, proportion of summer precipitation, precipitation...
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Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset provides coverage for future climate (defined as the 2040-2070 normal period) under the RCP8.5 emission scenarios. Climate variables were chosen based on their known influence on local adaptation in plants, and include: mean annual temperature, summer maximum temperature, winter minimum temperature, annual temperature range, temperature seasonality (coefficient of variation in monthly average temperatures), mean annual precipitation, winter precipitation, summer precipitation, proportion of summer precipitation, precipitation...
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Leaf Area Index simulated by the biogeography model MAPSS using RegCM3 climate with ECHAM5 projections as boundary conditions. MAPSS (Mapped Atmosphere-Plant-Soil System) is a static biogeography model that projects potential vegetation distribution and hydrological flows on a grid (http://www.databasin.org/climate-center/features/mapss-model). MAPSS has been used widely for various climate change assessments including the 2000 National Assessment Synthesis Team's report. MAPSS uses long term, average monthly climate data (mean monthly temperature, vapor pressure, wind speed, and precipitation) as well as soils information (texture, depth). Based on a set of climatic thresholds, the model defines the following plant...
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This feature class Describes the spatial location of recreation sites within or in close proximity to an administrative unit. Recreation sites are stored in three feature classes. The feature class Recreation_Site_pt represents recreation sites so small they are displayed as points, Recreation_Site_pl represents recreation sites large enough to be represented by area features, and Recreation_Site_ln represents recreation sites that are represented by lines. Any type of recreation site may be contained in any of the feature classes but any given recreation site must be contained in only one of the three feature classes. Recreation sites are grouped hierarchically. For example, a campground may be composed of many...
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Humans have dramatically altered wildlands in the western United States over the past 100 years by using these lands and the resources they provide. Anthropogenic changes to the landscape, such as urban expansion, construction of roads, power lines, and other networks and land uses necessary to maintain human populations influence the number and kinds of plants and wildlife that remain. We developed the map of the human footprint for the western United States from an analysis of 14 landscape structure and anthropogenic features: human habitation, interstate highways, federal and state highways, secondary roads, railroads, irrigation canals, power lines, linear feature densities, agricultural land, campgrounds, highway...
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This dataset depicts the near term (2015-2030) predicted distribution of major invasive vegetation species in the Sonoran Desert Ecoregion. It shows the combination of all areas predicted to have current distribution of invasive vegetation species, in addition to areas predicted in the near term Sahara mustard probability model, based on near term climate (2015-2030, derived from RegCM3 based on ECHAM5 boundary conditions). This dataset does not show range contractions of invasive vegetation species, only range expansions, due to the way that source datasets were combined. This is because many species show large inter-annual variability in cover and ecological impacts, and are able to seed-bank for several years...
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The Geospatial Multi-Agency Coordination Group, or GeoMAC, is an internet-based mapping tool originally designed for fire managers to access online maps of current wildland fire locations and perimeters in the continental United States, including Alaska. Perimeters are submitted to GeoMAC by the incidents via posting to FTP and web sites for downloading. This file contains wildland fire perimeters submitted to GeoMAC from the year 2000 to the calendar year preceeding the current one. The projection is geographic and the datum is NAD83. Last updated January 20, 2011, SPW. Additional metadata available at: http://rmgsc.cr.usgs.gov/outgoing/GeoMAC/historic_fire_data/us_hist_fire_perimeters_dd83_METADATA.htm
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This dataset shows the distribution of invasive aquatic species compiled from the USGS nonindigenous aquatic species database and national institute of invasive species science database. These species include asian clams, Quagga mussels, and zebra mussels.
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This map layer portrays the current routes used for conducting Breeding Bird Surveys in the lower 48 States, clipped to the HUC5/ecoregion boundary for the Sonoran Desert ecoregion. The digital data sets are used to create electronic and hard copy maps of the Breeding Bird Survey routes. The data can be used to conduct geographic analysis on national and large regional scales. The data should be displayed and analyzed at scales appropriate for 1:100,000-scale data. No responsibility is assumed by the National Atlas of the United States or by USGS Patuxent Wildlife Research Center in the use of these data.
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This dataset depicts watersheds (HUC5) that contain observations of lowland leopard frogs more recent than 1980. Observations were derived from data Arizona Natural Heritage program (proprietary, cannot be shared with BLM or public).
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This dataset depicts developed recreation sites from the BLM Kingman Field Office. This dataset was provided directly by BLM Arizona State Office to Conservation Biology Institute (CBI) without metadata. Information contained in this dataset record was completed by CBI.
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Average Annual Temperature (2015-2030) simulated by RegCM3 with GENMOM projections as boundary conditions. Units are degrees Celsius. These data were generated by the regional climate model RegCM3 with boundary conditions from a GCM future climate projections. The data were downscaled statistically by calculating differences (anomalies) between the RegCM3 results with GCM-driven boundary conditions for 1968-99 and those for a future period, in this case 2015-2030. The anomalies were added (temperatures) or multiplied (precipitation) to a climate baseline from PRISM (Parameter-elevation Regressions on Indepenent Slopes Model - prism.oregonstate.edu) data based on historical observations. The PRISM baseline was calculated...
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Difference of Runoff (2045-2060 vs 1968-1999) simulated by the biogeography model MAPSS using RegCM3 climate with ECHAM5 projections as boundary conditions. Units are millimeters of water. MAPSS (Mapped Atmosphere-Plant-Soil System) is a static biogeography model that projects potential vegetation distribution and hydrological flows on a grid (http://www.databasin.org/climate-center/features/mapss-model). MAPSS has been used widely for various climate change assessments including the 2000 National Assessment Synthesis Team's report. MAPSS uses long term, average monthly climate data (mean monthly temperature, vapor pressure, wind speed, and precipitation) as well as soils information (texture, depth). Based on a...
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This dataset shows an estimate of the probability of human-caused fire occurrence, based on 30 years of occurrence data using a MaxEnt model based on several factors including distance to roads, urban areas, vegetation type, and climate. This near-term estimate is based on projecting the Maxent model developed on current climate conditions onto downscaled climate projections from RegCM3 based on ECHAM5 boundary conditions. The model performed reasonably well, with an AUC of 0.704 Significant predictive factors include distance to highways, distance to major rivers, distance to urban areas, distance to roads, and winter precipitation. Caution should be exercised in interpreting this dataset, as it is based on an...
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This dataset shows areas burned by wildfire between 1999 and 2010 derived from fire perimeter and LANDFIRE disturbance datasets (Prescribed fires were not included in this analysis.). Where available, this dataset shows fire severity information.
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5th Code HUC reporting units for the Sonoran Desert Ecoregion Used as analytical reporting units for aquatic conservation elements.


map background search result map search result map Natural Resource Condition Assessments Managing Changing Landscapes in the Southwestern United States Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 4.5) Climate Distance Mapper R Script Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 8.5) BLM REA SOD 2010 Invasive Vegetation Species Predicted Distribution for Near Term Climate (2015-2030) BLM REA SOD 2010 The Human Footprint in the Sonoran Desert ecoregion, USA BLM REA SOD 2010 Leaf Area Index (2045-2060) Simulated by MAPSS using RegCM3 Climate with ECHAM5 Projections as Boundary Conditions (Western US) BLM REA SOD 2010 USFS Coronado National Forest Recreation Sites BLM REA SOD 2010 AT C 303d Waterbodies DN HUC5 Poly BLM REA SOD 2010 Wildland Fire Perimeters (2002) BLM REA SOD 2010 Areas Burned by Wildfire (1999-2010) BLM REA SOD 2010 Lowland Leopard Frog Occupied Watersheds BLM REA SOD 2010 BLM Recreation Sites (Kingman Field Office) BLM REA SOD 2010 Invasive Aquatic Species Occurrences BLM REA SOD 2010 Breeding Bird Survey Route Locations for the Sonoran Desert ecoregion, USA BLM REA SOD 2010 Average Annual Temperature (2015-2030) Simulated by RegCM3 with GENMOM Projections as Boundary Conditions (Western US) BLM REA SOD 2010 Difference of Runoff (2045-2060 vs 1968-1999) Simulated by MAPSS using RegCM3 Climate with ECHAM5 Projections as Boundary Conditions (Western US) BLM REA SOD 2010 Near-Term Probability of Human-Caused Fire Occurrence BLM REA SOD 2010 BLM Recreation Sites (Kingman Field Office) BLM REA SOD 2010 Invasive Aquatic Species Occurrences BLM REA SOD 2010 Lowland Leopard Frog Occupied Watersheds BLM REA SOD 2010 Wildland Fire Perimeters (2002) BLM REA SOD 2010 Breeding Bird Survey Route Locations for the Sonoran Desert ecoregion, USA BLM REA SOD 2010 AT C 303d Waterbodies DN HUC5 Poly BLM REA SOD 2010 Invasive Vegetation Species Predicted Distribution for Near Term Climate (2015-2030) BLM REA SOD 2010 Areas Burned by Wildfire (1999-2010) BLM REA SOD 2010 Near-Term Probability of Human-Caused Fire Occurrence BLM REA SOD 2010 Leaf Area Index (2045-2060) Simulated by MAPSS using RegCM3 Climate with ECHAM5 Projections as Boundary Conditions (Western US) BLM REA SOD 2010 Average Annual Temperature (2015-2030) Simulated by RegCM3 with GENMOM Projections as Boundary Conditions (Western US) BLM REA SOD 2010 Difference of Runoff (2045-2060 vs 1968-1999) Simulated by MAPSS using RegCM3 Climate with ECHAM5 Projections as Boundary Conditions (Western US) BLM REA SOD 2010 The Human Footprint in the Sonoran Desert ecoregion, USA Managing Changing Landscapes in the Southwestern United States Climate Distance Mapper R Script Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 4.5) Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 8.5) Natural Resource Condition Assessments