Publications
Filter Total Items: 533
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
Operational assessment tool for forest carbon dynamics for the United States: A new spatially explicit approach linking the LUCAS and CBM-CFS3 models Operational assessment tool for forest carbon dynamics for the United States: A new spatially explicit approach linking the LUCAS and CBM-CFS3 models
Background Quantifying the carbon balance of forested ecosystems has been the subject of intense study involving the development of numerous methodological approaches. Forest inventories, processes-based biogeochemical models, and inversion methods have all been used to estimate the contribution of U.S. forests to the global terrestrial carbon sink. However, estimates have ranged widely...
Authors
Benjamin M. Sleeter, Leonardo Frid, Bronwyn Rayfield, Colin Daniel, Zhiliang Zhu, Dave Marvin
Integrating urban planning and water management through green infrastructure in the United States-Mexico border 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 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 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 Summary The 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 J. Hunt, Dee M. 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 Climate and land change impacts on future managed wetland habitat: A case study from California’s Central Valley
Concept California’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.Objectives Forecast the distribution, abundance, and connectivity of surface water and managed wetland habitats...
Authors
Tamara Wilson, Elliott Matchett, Kristin B. Byrd, Erin Conlisk, Matthew E. Reiter, Cynthia 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 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. Ron Pulliam, Miguel L. Villarreal, Valer Austin Clark, Aaron D. Flesch, Roy E. Petrakis, Jeremiah Leibowitz, Deborah 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 R. Wilson, Jeff Conn, Tom Sisk, Gary L. Nabhan
Representing plant diversity in land models: An evolutionary approach to make ‘Functional Types’ more functional 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 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 Conlisk, Gregory Golet, Mark Reynolds, Blake Barbaree, Kristin Sesser, Kristin B. Byrd, Sam Veloz, Matthew E. Reiter
Changes in liquefaction severity in the San Francisco Bay Area with sea-level rise 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. Grant, Anne Wein, Kevin M. Befus, Juliette Finzi-Hart, Mike Frame, Rachel 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 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 P. 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 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 Summary Global 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...
Authors
Prasad S. 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 Sankey, Ying Zhong, Itiya Aneece, Daniel Foley