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Subterranean estuaries extend inland into density-stratified coastal carbonate aquifers that contain a surprising diversity of endemic animals (mostly crustaceans) within a highly oligotrophic environment. How complex ecosystems thrive in this globally-distributed, cryptic habitat (termed anchialine) is poorly understood. The northeastern margin of the Yucatan Peninsula contains over 250 km of mapped, diver-accessible caves passages where previous studies have suggested chemoautotrophic processes are the source of carbon and energy sustaining the anchialine food web. This dataset, collected during four field events during U.S. Geological Survey (USGS) Coastal and Marine Geology Program Field Activities 2015-013-FA...
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The NABat sampling frame is a grid-based finite-area frame spanning Canada, the United States, and Mexico consisting of N total number of 10- by 10-km (100-km2) grid cell sample units for the continental United States, Canada, and Alaska and 5- by 5-km (25km2) for Hawaii and Puerto Rico. This grain size is biologically appropriate given the scale of movement of most bat species, which routinely travel many kilometers each night between roosts and foraging areas and along foraging routes. A Generalized Random-Tessellation Stratified (GRTS) Survey Design draw was added to the sample units from the raw sampling grids (https://doi.org/10.5066/P9M00P17). This dataset represents the final 2018 NABat Sampling grid with...
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The NABat sampling frame is a grid-based finite-area frame spanning Canada, the United States, and Mexico consisting of N total number of 10- by 10-km (100-km2) grid cell sample units. This grain size is biologically appropriate given the scale of movement of most bat species, which routinely travel many kilometers each night between roosts and foraging areas and along foraging routes. A draw of sample units from a finite sampling frame using the GRTS design produces an ordered list of units such that any ordered subset of that list is also randomized and spatially balanced. This vector dataset is the individual grid-based sampling grid for Continental United States at a 10x10km resolution.
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These data were compiled for monitoring riparian zone trends and changes in the Lower Colorado Delta as part of the Minute 139 of the 1944 Water Treaty between the United States and Mexico. The quality and quantity of the Delta’s riparian and aquatic ecosystems have been dramatically reduced over the past century, due largely to significant alterations to natural hydrologic and sediment regimes. The Minute 319 Agreement states that 130 million cubic meters of water was to be released during the spring of 2014. Water was released from Morelos Dam at the Northern International Border (NIB) near Yuma, Arizona, to the river’s delta in Mexico, allowing water to reach the Gulf of California for the first time in 13 years...
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These data were compiled for evaluating river-reach level vegetation greenness data in the riparian corridor of the Colorado River delta as specified under Minute 319 of the 1944 Water Treaty. The seven reach areas from the Northerly International Boundary (NIB) to the end of the delta at the Sea of Cortez were defined for research activities. Also, these seven reaches are being monitored under Minute 323 of the 1944 Water Treaty. Additionally, these data were compiled for evaluating restoration-level vegetation greenness data in Reach 2 and Reach 4, as specified under Minute 323 of the 1944 Water Treaty. Objectives of our study were to measure satellite vegetation index data, specifically using the Enhanced Vegetation...
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These data are a compilation of four mask layers (regions), and enhanced vegetation indices calculated from airborne or satellite imagery. The mask layers were used created to extract satellite EVI data from the four airborne or satellite imagery datasets. The Enhanced Vegetation Index (EVI) is a key Earth science parameter used to assess vegetation, originally developed and calibrated for the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Terra and Aqua satellites. With the impending decommissioning of the MODIS sensors by the year 2020/2022, alternative platforms will need to be used to estimate EVI. These data were created to compare Landsat 5 (2000–2011), 8 (2013–2016) and the Visible Infrared...
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These data were compiled for the creation of a continuous, transboundary land cover map of Bird Conservation Region 33, Sonoran and Mojave Deserts (BCR 33). Objective(s) of our study were to, 1) develop a machine learning (ML) algorithm trained to classify vegetation land cover using remote sensing spectral data and phenology metrics from 2013-2020, over a large subregion of the Sonoran and Mojave Deserts BCR, 2) Calibrate, validate, and refine the final ML-derived vegetation map using a collection of openly sourced remote sensing and ground-based ancillary data, images, and limited fieldwork, and 3) Harmonize a new transboundary classification system by expanding existing land cover mapping resources from the United...
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The sampling locations provided here were selected as a two-stage Generalized Random Tessellation Stratified (GRTS) sample (Stevens & Olsen 2004). The first stage of the GRTS draw used a master sample developed by the North American Bat Monitoring Program (Loeb et al. 2015) from a 10 x 10 km grid placed over the conterminous U.S., Canada, and Mexico. Each 10 x 10 km grid cell (hereafter, master cell) was assigned a GRTS rank by NABat. The rank represents the priority order in which master cells should ideally be sampled. For the second stage of the draw, sampling points within a master cell were selected. Each point was defined as a 30 x 30 m cell of the GIS raster that defined monarch-relevant habitat. Sampling...
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Grasslands of the Sky Islands region once covered over 13 million acres in southeastern Arizona and adjacent portions of New Mexico, Sonora, and Chihuahua. Attempts to evaluate current ecological conditions suggest that approximately two thirds of these remain as intact or restorable grassland habitat. These grasslands provide watershed services such as flood control and aquifer recharge across the region, and continue to support dozens of species of concern. Prioritizing conservation interventions for these remaining grassland blocks has been challenging. Reliable data on condition and conservation value of grasslands in the region have not been systematically summarized. State and national boundaries further complicate...
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Actualmente, el tema del agua reviste gran importancia por su escasez, degradación y riesgo que representan las avenidas de ríos, deslaves e inundaciones ocasionadas por lluvias intensas, además de considerarse un asunto estratégico para las políticas de los gobiernos. En este sentido y dada la necesidad de proveer información vectorial a mayor detalle como apoyo a lo mencionado, el INEGI generó la Red Hidrográfica escala 1:50 000 la cual modela el drenaje superficial de una cuenca hidrográfica, así como esta aplicación que permite a los usuarios consultar y analizar dicha información.
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El estado de Chihuahua es el más extenso de la República Mexicana, representa el 12.6% del territorio del país (INEGI, 2001) y posee una amplia gama de recursos naturales de los que se desprenden diversas actividades económicas (INEGI, 2003), por lo anterior resulta indispensable la disponibilidad de información eficiente de los recursos naturales que permita el manejo adecuado de los mismos. La ley forestal de nuestro país, señala que la evaluación de los recursos naturales debe integrar “información estadística y cartográfica”, que permita conocer la dinámica del cambio de vegetación forestal, para poder evaluar las tasas de deforestación y sus principales causas (CONAFOR, 2010). Actualmente la cartografía...
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The Desert LCC identified the need for a Protected Areas spatial database that showed land ownership, management designations and conservation status for lands in the United States and Mexico. However, the existing Protected Areas database was found to be particularly prone to boundary and database errors that affected its potential use. This USGS project will develop a single, seamless, error-free Protected Areas dataset for the full geographic scope of the Desert LCC. This will involve acquiring numerous spatial layers from Federal, State, and NGO organizations which are responsible for administering and/or managing areas that have a designated protected status. Protected Area will be categorized as defined by...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2012, AZ-01, AZ-02, AZ-03, AZ-04, All tags...
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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, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2014, AZ-01, AZ-02, AZ-03, AZ-04, All tags...
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The Desert Landscape Conservation Cooperative (Desert LCC) is designing a process that will: produce spatially explicit data and information about focal resources, chosen by the Desert LCC partners; seek to understand the effects of climate change and other landscape stressors on natural resources; integrate social and economic information to understand what these resources might look like in the future; and look at specific focal areas to develop collaborative adaptation responses that are useful and implementable by our partners.Where this work is being done: Dos Rios Eastern Mojave Desert Madrean Watersheds In the face of rapid climatic shifts, natural resource managers and conservation practitioners...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2014, AZ-01, AZ-02, AZ-03, AZ-04, All tags...
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Article Abstract: Although riparian and aquatic ecosystems make up a small fraction of the area in arid and semi-arid lands, they are critical for the survival of desert life. There are, however, few compendia of efforts to define the quantity of water needed to maintain these ecosystems and understand the risks and stressors to them. Through our analysis we found that 62% of the rivers examined in the deserts of the U.S. and Mexico have had just one study over the past four decades and 67% of studies used qualitative methods. Furthermore, only one-third of the 312 species catalogued in our work have been studied more than once and only 5% have been considered five or more times. The most common risks or stressors...
This collection consists of geological samples associated with the research of USGS Scientist Emeritus Michael J. Kunk. The collection contains rock samples stemming from Kunk’s earth science research in North America on geochronology, geochemistry, landscape evolution, volcanology, mineralogy, and structural geology. This collection contains four pallets of geological samples and materials.
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This sampling frame is a set of grid-based, finite-area frames spanning the offshore areas surrounding Mexico, and is intended for use with the North American Bat Monitoring Program (NABat). A Generalized Random-Tessellation Stratified (GRTS) Survey Design draw was added to the sample units from the raw sampling grids (https://doi.org/10.5066/P9XBOCVV). The GRTS survey design algorithm assigns a spatially balanced and randomized ordering (GRTS order) to each cell within its respective framework. Grid cells are prioritized numerically; the lower the number, the higher the sampling priority. Cells can then be selected for monitoring following the GRTS order, ensuring both randomization and spatial balance. Monitoring...
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The NABat sampling frame is a grid-based finite-area frame spanning Canada, the United States, and Mexico consisting of N total number of 10- by 10-km (100-km2) grid cell sample units for the continental United States, Canada, and Alaska and 5- by 5-km (25km2) for Hawaii and Puerto Rico. This grain size is biologically appropriate given the scale of movement of most bat species, which routinely travel many kilometers each night between roosts and foraging areas and along foraging routes. A Generalized Random-Tessellation Stratified (GRTS) Survey Design draw was added to the sample units from the raw sampling grids (https://doi.org/10.5066/P9M00P17). This dataset represents the final 2018 NABat Sampling grid with...


map background search result map search result map Development of Protected Areas Digital Spatial Data for the Desert LCC SIATL: Simulador de Flujos de Agua  de Cuencas Hidrográficas Sustaining the Grassland Sea Desert LCC Landscape Conservation Design Climate Adaptation Strategies for Desert Amphibians Paper and Web Modules Cartografía de Uso de Suelo y Vegetación del Estado de Chihuahua Sonde data to characterize physical and chemical properties of the Cenote Bang, a component of the Ox Bel Ha cave network within the subterranean estuary coastal aquifer of the Yucatan Peninsula, from December 2013 to January 2016 Environmental flows in the desert rivers of the United States and Mexico: Synthesis of available data and gap analysis USGS 1:24000-scale Quadrangle for Mexico, PA 1977 USGS 1:100000-scale Quadrangle for Mexico, MO 1986 Enhanced Vegetation Index (EVI) parameter data products from Landsat 5, Landsat 8 MODIS and the Visible Infrared Imaging Radiometer Suite (VIIRS), Colorado River Delta, Mexico Priority sampling locations for the Integrated Monarch Monitoring Program North America Bat Monitoring Program (NABat) Grid-Based Sampling Frame: Continental United States at a 10x10km resolution Attributed North American Bat Monitoring Program (NABat) Master Sample and Grid-Based Sampling Frame: Alaska Attributed North American Bat Monitoring Program (NABat) Master Sample and Grid-Based Sampling Frame: Canada Colorado River Delta Project: A compilation of vegetation indices, phenology assessment metrics, estimates of evapotranspiration and change maps for seven reaches of the delta's 150 km region, for nearly the last two decades Average growing season normalized difference vegetation index (NDVI) data for the riparian corridor of the Colorado River Delta in Mexico from 2000-2020 Random forest classification data developed from multitemporal Landsat 8 spectral data and phenology metrics for a subregion in Sonoran and Mojave Deserts, April 2013 – December 2020 Attributed North American Grid-Based Offshore Sampling Frames: Mexico The USGS Michael J. Kunk Geological Sample Collection USGS 1:24000-scale Quadrangle for Mexico, PA 1977 Sonde data to characterize physical and chemical properties of the Cenote Bang, a component of the Ox Bel Ha cave network within the subterranean estuary coastal aquifer of the Yucatan Peninsula, from December 2013 to January 2016 Sustaining the Grassland Sea Random forest classification data developed from multitemporal Landsat 8 spectral data and phenology metrics for a subregion in Sonoran and Mojave Deserts, April 2013 – December 2020 Cartografía de Uso de Suelo y Vegetación del Estado de Chihuahua Development of Protected Areas Digital Spatial Data for the Desert LCC Climate Adaptation Strategies for Desert Amphibians Paper and Web Modules Environmental flows in the desert rivers of the United States and Mexico: Synthesis of available data and gap analysis Desert LCC Landscape Conservation Design SIATL: Simulador de Flujos de Agua  de Cuencas Hidrográficas Attributed North American Grid-Based Offshore Sampling Frames: Mexico North America Bat Monitoring Program (NABat) Grid-Based Sampling Frame: Continental United States at a 10x10km resolution The USGS Michael J. Kunk Geological Sample Collection Attributed North American Bat Monitoring Program (NABat) Master Sample and Grid-Based Sampling Frame: Canada Attributed North American Bat Monitoring Program (NABat) Master Sample and Grid-Based Sampling Frame: Alaska Priority sampling locations for the Integrated Monarch Monitoring Program