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Integrating urban planning and water management through green infrastructure in the United States-Mexico border

Creating sustainable, resilient, and livable cities calls for integrative approaches and collaborative practices across temporal and spatial scales. However, practicability is challenged by institutional, social, and technical complexities and the need to build collective understanding of integrated approaches. Rapid urbanization along the United States-Mexico border, fueled by...
Authors
Francisco Lara-Valencia, Margaret Garcia, Laura M. Norman, Alma Anides Morales, Edgar E. Castellanos-Rubio

Terrestrial ecosystem modeling with IBIS: Progress and future vision

Dynamic Global Vegetation Models (DGVM) are powerful tools for studying complicated ecosystem processes and global changes. This review article synthesizes the developments and applications of the Integrated Biosphere Simulator (IBIS), a DGVM, over the past two decades. IBIS has been used to evaluate carbon, nitrogen, and water cycling in terrestrial ecosystems, vegetation changes, land...
Authors
Jinxun Liu, Xuehe Lu, Qiuan Zhu, Wenping Yuan, Quanzhi Yuan, Zhen Zhang, Qingxi Guo, Carol Deering

Use case development for earth monitoring, analysis, and prediction (EarthMAP)—A road map for future integrated predictive science at the U.S. Geological Survey

Executive SummaryThe U.S. Geological Survey (USGS) 21st-century science strategy 2020–30 promotes a bureau-wide strategy to develop and deliver an integrated, predictive science capability that works at the scales and timelines needed to inform societally relevant resource management and protection and public safety and environmental health decisions (U.S. Geological Survey, 2021). This...
Authors
Tamara Wilson, Mark T. Wiltermuth, Karen E. Jenni, Robert Horton, Randall Hunt, Dee Williams, Vivian P. Nolan, Nicholas G. Aumen, David S. Brown, Kyle W. Blasch, Peter S. Murdoch

Climate and land change impacts on future managed wetland habitat: A case study from California’s Central Valley

ConceptCalifornia’s Central Valley provides critical habitat for migratory waterbirds, yet only 10% of naturally occurring wetlands remain. Competition for limited water supplies and climate change will impact the long-term viability of these intensively managed habitats.ObjectivesForecast the distribution, abundance, and connectivity of surface water and managed wetland habitats, using...
Authors
Tamara Wilson, Elliott Matchett, Kristin B. Byrd, Erin E. Conlisk, Matthew Reiter, Cynthia S. Wallace, Lorraine E. Flint, Alan L. Flint, Monica Mei Jeen Moritsch

A shared vision for enhancing ecological resilience in the U.S. - Mexico borderlands: The Sky Island Restoration Collaborative

No abstract available.
Authors
Laura M. Norman, Michele Girard, H. Ronald Pulliam, Miguel L. Villarreal, Valer Austin Clark, Aaron D. Flesch, Roy Petrakis, Jeremiah Leibowitz, Deborah J. Tosline, Kurt Vaughn, Tess Wagner, Caleb Weaver, Trevor Hare, Jose Manuel Perez, Oscar E. Lopez Bujanda, Josiah T. Austin, Carianne Funicelli Campbell, James B. Callegary, Natalie Wilson, Jeff S. Conn, Tom Sisk, Gary L. Nabhan

Representing plant diversity in land models: An evolutionary approach to make ‘Functional Types’ more functional

Plants are critical mediators of terrestrial mass and energy fluxes, and their structural and functional traits have profound impacts on local and global climate, biogeochemistry, biodiversity, and hydrology. Yet Earth System Models (ESMs), our most powerful tools for predicting the effects of humans on the coupled biosphere-atmosphere system, simplify the incredible diversity of land...
Authors
Leander D.L. Anderegg, Daniel Mark Griffith, Jeannine Cavender-Bares, William J. Riley, Joseph A. Berry, Todd E. Dawson, Christopher J. Still

Both real-time and long-term environmental data perform well in predicting shorebird distributions in managed habitat

Highly mobile species, such as migratory birds, respond to seasonal and inter-annual variability in resource availability by moving to better habitats. Despite the recognized importance of resource thresholds, species distribution models typically rely on long-term average habitat conditions, mostly because large-extent, temporally-resolved, environmental data are difficult to obtain...
Authors
Erin E. Conlisk, Gregory H. Golet, Mark S. Reynolds, Blake Barbaree, Kristin A. Sesser, Kristin B. Byrd, Samuel Veloz, Matt Reiter

Changes in liquefaction severity in the San Francisco Bay Area with sea-level rise

This paper studies the impacts of sea-level rise on liquefaction triggering and severity around the San Francisco Bay Area, California, for the M 7.0 “HayWired” earthquake scenario along the Hayward fault. This work emerged from stakeholder engagement for the US Geological Survey releases of the HayWired earthquake scenario and the Coastal Storm Modeling System projects, in which local...
Authors
Alex R.R. Grant, Anne Wein, Kevin Befus, Juliette Finzi Hart, Mike Frame, Rachel E. Volentine, Patrick L. Barnard, Keith L. Knudsen

Classifying crop types using two generations of hyperspectral sensors (Hyperion and DESIS) with machine learning on the cloud

Advances in spaceborne hyperspectral (HS) remote sensing, cloud-computing, and machine learning can help measure, model, map and monitor agricultural crops to address global food and water security issues, such as by providing accurate estimates of crop area and yield to model agricultural productivity. Leveraging these advances, we used the Earth Observing-1 (EO-1) Hyperion historical...
Authors
Itiya Aneece, Prasad Thenkabail

Global cropland-extent product at 30-m resolution (GCEP30) derived from Landsat satellite time-series data for the year 2015 using multiple machine-learning algorithms on Google Earth Engine cloud

Executive SummaryGlobal food and water security analysis and management require precise and accurate global cropland-extent maps. Existing maps have limitations, in that they are (1) mapped using coarse-resolution remote-sensing data, resulting in the lack of precise mapping location of croplands and their accuracies; (2) derived by collecting and collating national statistical data that...
Authors
Prasad Thenkabail, Pardhasaradhi G. Teluguntla, Jun Xiong, Adam Oliphant, Russell G. Congalton, Mutlu Ozdogan, Murali Krishna Gumma, James C. Tilton, Chandra Giri, Cristina Milesi, Aparna Phalke, Richard Massey, Kamini Yadav, Temuulen Tsagaan Sankey, Ying Zhong, Itiya Aneece, Daniel Foley

Remotely sensed fine-fuel changes from wildfire and prescribed fire in a semi-arid grassland

The spread of flammable invasive grasses, woody plant encroachment, and enhanced aridity have interacted in many grasslands globally to increase wildfire activity and risk to valued assets. Annual variation in the abundance and distribution of fine-fuel present challenges to land managers implementing prescribed burns and mitigating wildfire, although methods to produce high-resolution...
Authors
Adam Gerhard Wells, Seth Munson, Steven Sesnie, Miguel L. Villarreal

Hierarchical clustering for paired watershed experiments: Case study in southeastern Arizona, U.S.A.

Watershed studies are often onerous due to a lack of data available to portray baseline conditions with which to compare results of monitoring environmental effects. A paired-watershed approach is often adopted to simulate baseline conditions in an adjacent watershed that can be comparable but assumes there is a quantifiable relationship between the control and treated watersheds...
Authors
Roy Petrakis, Laura M. Norman, Kurt Vaughn, Richard Pritzlaff, Caleb Weaver, Audrey J Rader, H. Ronald Pulliam
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