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Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Layered geospatial PDF Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
There are few resources that provide managers cross-scale information for planning climate adaptation strategies for species and taxa at risk. Appropriate allocation of resources requires an understanding of mechanisms influencing a species’ risk to global change. Dr. Griffis-Kyle will produce a manuscript for peer-reviewed publication and create content for web pages that can be included on the Desert LCC website that provide modules on amphibian climate adaptation strategies. This work is associated with addressing Desert LCC Critical Management Question 4: Physiological Stress of Climate Change and follows a webinar that Dr. Griffis-Kyle presented for the Desert LCC’s CMQ 4 team, titled “Climate and Desert Amphibian...
Categories: Data,
Web Site;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2014,
AZ-01,
AZ-02,
AZ-03,
AZ-04,
The Desert Landscape Conservation Cooperative (LCC) is a partnership formed and directed by resource management entities as well as interested public and private entities in the Mojave, Sonoran, and Chihuahuan Desert and montane sky island regions of the southwestern United States and northern Mexico. Desert LCC science depends on access to transboundary base datasets. Given the importance of vegetation such as grasslands and riparian vegetation in conservation science, a bi-national, landscape-scale vegetation data layer with classes relevant to Desert LCC research is crucial. One objective of this project is to investigate appropriate methodologies and landscape scales to create a Desert LCC binational land cover...
Categories: Data;
Tags: Academics & scientific researchers,
Aquascalientes,
Arizona,
Baja California,
California,
The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water...
La deforestación, sobreexplotación del agua superficial y subterránea, así como de los recursos naturales en general, la contaminación, la introducción de especies invasoras y el cambio climático son causales directas de pérdida de biodiversidad que responden a factores indirectos como los demográficos, las políticas públicas inadecuadas y los desarrollos tecnológicos. El presente Plan de Acción responde a la necesidad de contar con un marco de referencia para el manejo adecuado de las especies prioritarias presentes en el estado de Chihuahua, que permita la toma de decisiones, así como el desarrollo y ejecución de políticas públicas adecuadas, para proteger, conservar y aprovechar la biodiversidad estatal de manera...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chihuahua,
Spanish,
amphibian,
bird,
fish,
This dataset contains monthly pumping rates for municipal and industrial (MnI) wells in New Mexico within the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM) that were not included in other pumping rate datasets. In RGTIHM, these wells are considered the New Mexico Office of the State Engineer MnI (NMOSE_MnI) group. Monthly pumping rates are presented in units of cubic feet per day for the period from March 1940 through December 2014.
Categories: Data;
Tags: Caballo Reservoir,
Chihuahua,
El Paso,
Elephant Butte Reservoir,
Las Cruces,
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