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Climate refugia for Pinus spp. in topographic and bioclimatic environments of the Madrean sky islands of México and the United States Climate refugia for Pinus spp. in topographic and bioclimatic environments of the Madrean sky islands of México and the United States

Climate refugia, or places where habitats are expected to remain relatively buffered from regional climate extremes, provide an important focus for science and conservation planning. Within high-priority, multi-jurisdictional landscapes like the Madrean sky islands of the United States and México, efforts to identify and manage climate refugia are hindered by the lack of high-quality and
Authors
Sandra L. Haire, Miguel L. Villarreal, Citlali Cortes Montano, Aaron D. Flesch, Jose M. Iniguez, Jose Raul Romo-Leon, Jamie S. Sanderlin

Introduction to the Python Hyperspectral Analysis Tool (PyHAT) Introduction to the Python Hyperspectral Analysis Tool (PyHAT)

Spectroscopic data are rich in information and are commonly used in planetary research. Many mission teams, research labs, and individual research scientists derive thematic products from multi- and hyperspectral data sets and apply spectroscopic analysis techniques to derive new understanding. The PyHAT is a powerful and versatile, free, and open-source Python library designed to...
Authors
Jason Laura, Lisa R. Gaddis, Ryan B. Anderson, Itiya P. Aneece

Anthropogenic stressors compound climate impacts on inland lake dynamics: The case of Hamun Lakes Anthropogenic stressors compound climate impacts on inland lake dynamics: The case of Hamun Lakes

Inland lakes face unprecedented pressures from climatic and anthropogenic stresses, causing their recession and desiccation globally. Climate change is increasingly blamed for such environmental degradation, but in many regions, direct anthropogenic pressures compound, and sometimes supersede, climatic factors. This study examined a human-environmental system – the terminal Hamun Lakes...
Authors
Arash Modaresi Rad, Jason R. Kreitler, John T. Abatzoglou, Kendra Fallon, Kevin Roche, Mojitaba Sadegh

DSWEmod - The production of high-frequency surface water map composites from daily MODIS images DSWEmod - The production of high-frequency surface water map composites from daily MODIS images

Optical satellite imagery is commonly used for monitoring surface water dynamics, but clouds and cloud shadows present challenges in assembling complete water time series. To test whether the daily revisit rate of Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery can reduce cloud obstruction and improve high-frequency surface water mapping, we compared map results...
Authors
Christopher E. Soulard, Eric Waller, Jessica J. Walker, Roy E. Petrakis, Britt Windsor Smith

Wildfire probability models calibrated using past human and lightning ignition patterns can inform mitigation of post-fire hydrologic hazards Wildfire probability models calibrated using past human and lightning ignition patterns can inform mitigation of post-fire hydrologic hazards

Most wildfires are started by humans, however, geographic variation of potential ignition sources is not often explicitly accounted for in wildfire simulation modelling or risk assessments. In this study, we investigated how patterns of human and lightning ignitions can influence modelled fire simulations and demonstrate how these data can be used to assess post-fire flooding and...
Authors
Miguel L. Villarreal, Laura M. Norman, Erika Yao, Caroline Rose Conrad

Rocky Mountain Region Science Exchange 2020—EarthMAP and the Colorado River Basin Rocky Mountain Region Science Exchange 2020—EarthMAP and the Colorado River Basin

The U.S. Geological Survey (USGS) Rocky Mountain Region (RMR) hosted USGS scientists, managers, program coordinators, and leadership team members for a virtual Science Exchange during September 15–17, 2020. The Science Exchange had 216 registered participants and included 48 talks over the 3-day period. Invited speakers presented information about the novel USGS Earth Monitoring...
Authors
Anne C. Tillery, Patrick J. Anderson, William J. Andrews, Katharine Dahm, Seth S. Haines, Robert Horton, David O’Leary, Ryan D. Taylor, Kathryn A. Thomas, Alicia A. Torregrosa

Flood resilience in paired US–Mexico border cities: A study of binational risk perceptions Flood resilience in paired US–Mexico border cities: A study of binational risk perceptions

Disastrous floods in the twin cities of Nogales, Arizona, USA, and Nogales, Sonora, Mexico (collectively referred to as Ambos Nogales) occur annually in response to monsoonal summer rains. Flood-related hazards include property damage, impairment to sewage systems, sewage discharge, water contamination, erosion, and loss of life. Flood risk, particularly in Nogales, Sonora, is amplified...
Authors
Christopher A. Freimund, Gregg M. Garfin, Laura M. Norman, Larry A. Fisher, James Buizer

Poor relationships between NEON Airborne Observation Platform data and field-based vegetation traits at a mesic grassland Poor relationships between NEON Airborne Observation Platform data and field-based vegetation traits at a mesic grassland

Understanding spatial and temporal variation in plant traits is needed to accurately predict how communities and ecosystems will respond to global change. The National Observatory Ecological Network (NEON) Airborne Observation Platform (AOP) provides hyperspectral images and associated data products at numerous field sites at 1 m spatial resolution, potentially allowing high-resolution...
Authors
Stephanie Pau, Jesse Nippert, Ryan Slapikas, Daniel Mark Griffith, Seton Bachle, Brent Helliker, Rory O’Connor, William J. Riley, Christopher J. Still, Marissa Zaricor
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