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Riparian vegetation response amid variable climate conditions across the Upper Gila River watershed: informing Tribal restoration priorities

Restoring degraded river systems is an enormous challenge, especially given the uncertainty in a time of climate change. Here, Roy Petrakis explains how restoration approaches informed by remote sensing and a climate adaptation framework increase the potential for overall success. He discusses research being done on the Gila River as a case study of how it might work.
Roy Petrakis

Time, climate, and soil settings set the course for reclamation outcomes following dryland energy development

Soil attributes, climate, and time since reclamation have important implications for oil and gas reclamation success on drylands. It is uncertain if reclaimed well pads, on highly degraded drylands, can successfully regain ecological function or meet indicator benchmarks for reclamation. Here, our goals were to assess patterns in reclamation outcomes relative to (1) soil attributes, climate, and t
Randi Corrine Lupardus, Aarin Sengsirirak, Keven Griffen, Anna C Knight, Brandon E McNellis, John B. Bradford, Seth M. Munson, Sasha C. Reed, Miguel L. Villarreal, Michael C. Duniway

Resilience of riparian vegetation productivity to early 21st century drought in northern California, USA

Drought and intensive land use can interact as stressors on riparian vegetation, especially along rivers flowing through seasonally dry landscapes. Knowledge of past riparian vegetation response to drought and land use change can provide land managers with a better understanding of changes induced by upstream management actions, climate change, and chronic stressors. To investigate the response of
Paul Selmants, Caroline Rose Conrad, Tamara S. Wilson, Miguel L. Villarreal

Biophysical factors control invasive annual grass hot spots in the Mojave Desert

Invasive annual grasses can promote ecosystem state changes and habitat loss in the American Southwest. Non-native annual grasses such as Bromus spp. and Schismus spp. have invaded the Mojave Desert and degraded habitat through increased fire occurrence, severity, and shifting plant community composition. Thus, it is important to identify and characterize the areas where persistent invasion has oc
Tanner Corless Smith, Tara B.B. Bishop, Michael C. Duniway, Miguel L. Villarreal, Anna C Knight, Seth M. Munson, Eric K. Waller, Ryan Jensen, Richard A. Gill

Current and future sinkhole susceptibility in karst and pseudokarst areas of the conterminous United States

Sinkholes in karst and pseudokarst regions threaten infrastructure, property, and lives. We mapped closed depressions in karst and pseudokarst regions of the conterminous United States (U.S.) from 10-m-resolution elevation data using high-performance computing, and then created a heuristic additive model of sinkhole susceptibility that also included nationally consistent data for factors related t
Nathan J. Wood, Daniel H. Doctor, Jay R. Alder, Jeanne M. Jones

Modeling non-structural strategies to reduce pedestrian evacuation times for mitigating local tsunami threats in Guam

Reducing the potential for loss of life from local tsunamis is challenging for emergency managers given the need for self-protective behavior of at-risk individuals within brief windows of time to evacuate. There has been considerable attention paid to discussing the use of tsunami vertical-evacuation structures for areas where there may be insufficient time to evacuate. This strategy may not be f
Nathan J. Wood, Jeff Peters, Kwok Fai Cheung, Yoshiki Yamazaki, Denille Calvo, Charles Guard

Translating stakeholder narratives for participatory modeling in landscape ecology

ContextEngaging stakeholders in research is needed for many of the sustainability challenges that landscape ecologists address. Involving stakeholders’ perspectives through narratives in participatory modeling fosters better understanding of the problem and evaluation of the acceptability of tradeoffs and creates buy-in for management actions. However, stakeholder-driven inputs often take the form
Jelena Vukomanovic, Lindsey Smart, Jennifer Koch, Virginia Dale, Sophie Plassin, Kristin B. Byrd, Colin Beier, Frederik Doyon

Riparian vegetation response amid variable climate conditions across the Upper Gila River watershed: Informing Tribal restoration priorities

Riparian systems across the Southwest United States are extremely valuable for the human and ecological communities that engage with them. However, they have experienced substantial changes and stresses over the past century, including non-native vegetation expansion, vegetation die-offs, and increased fire activity. Vegetation management approaches, such as ecological restoration, may address som
Roy Petrakis, Laura M. Norman, Barry R. Middleton

Capturing patterns of evolutionary relatedness with reflectance spectra to model and monitor biodiversity

Biogeographic history can set initial conditions for vegetation community assemblages that determine their climate responses at broad extents that land surface models attempt to forecast. Numerous studies have indicated that evolutionarily conserved biochemical, structural, and other functional attributes of plant species are captured in visible-to-short wavelength infrared, 400 to 2,500 nm, refle
Daniel Mark Griffith, Kristin B. Byrd, Lee Anderegg, Elijah Allen, Demetrios Gatziolis, Dar A. Roberts, Rosie Yacoub, Ramakrishna Nemani

Methods and lessons for business resilience and recovery surveys

Surveys are important tools in business resilience and recovery research because of their ability to capture disaggregated economic information; however, they can be difficult and costly due to business operational dynamics and the larger challenges of disaster research. The COVID-19 pandemic serves as a recent example where demand for business data was high across both research and practice. Yet,
Maria Watson, Charlotte Brown, John Handmer, Cynthia Kroll, Anne Wein, Jennifer Helgeson, Adam Rose, Noah Dormady, Juri Kim

Mapping landslide susceptibility over large regions with limited data

Landslide susceptibility maps indicate the spatial distribution of landslide likelihood. Modeling susceptibility over large or diverse terrains remains a challenge due to the sparsity of landslide data (mapped extent of known landslides) and the variability in triggering conditions. Several different data sampling strategies of landslide locations used to train a susceptibility model are used to m
Jacob Bryson Woodard, Benjamin B. Mirus, Matthew Crawford, Dani Or, Ben Leshchinsky, Kate E. Allstadt, Nathan J. Wood

Community for data integration 2019 project report

The U.S. Geological Survey Community for Data Integration annually supports small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 14 projects supported in fiscal year 2019 and outlines their goals, activities, and accomplishments. Proposals in 2019 were encouraged to addre
Amanda N. Liford, Caitlin M. Andrews, Aparna Bamzai, Joseph A. Bard, David S. Blehert, John B. Bradford, Wesley M. Daniel, Sara L. Caldwell Eldridge, Frank Engel, Jason A. Ferrante, Amy K. Gilmer, Margaret E. Hunter, Jeanne M. Jones, Benjamin Letcher, Frances L. Lightsom, Richard R. McDonald, Leah E. Morgan, Sasha C. Reed, Leslie Hsu