Publications
Filter Total Items: 491
An early warning signal for grassland degradation on the Qinghai-Tibetan Plateau
Intense grazing may lead to grassland degradation on the Qinghai-Tibetan Plateau, but it is difficult to predict where this will occur and to quantify it. Based on a process-based ecosystem model, we define a productivity-based stocking rate threshold that induces extreme grassland degradation to assess whether and where the current grazing activity in the region is sustainable. We find that the c
Authors
Qiuan Zhu, Huai Chen, Changhui Peng, Jinxun Liu, Shilong Piao, Jin-Sheng He, Shiping Wang, Xinquan Zhao, Jiang Zhang, Xiuqin Fang, Jiaxin Jin, Qi-En Yang, Liliang Ren, Yanfen Wang
Social vulnerability and geographic access barriers to earthquake early warning education in museums and other free choice learning environments
Given the earthquake risk on the West Coast of the United States, individuals and communities require a basic understanding of ShakeAlert earthquake early warning technology, which may provide crucial seconds of warning. Free choice learning environments (FCLEs), such as museums, public libraries, and national parks, are uniquely positioned to expand the reach of earthquake early warning through e
Authors
Danielle F. Sumy, Oronde Oliver Drakes, Sara McBride, Mariah R. Jenkins
The long shadow of a major disaster: Modeled dynamic impacts of the hypothetical HayWired earthquake on California’s economy
We develop and apply a dynamic economic simulation model to analyze the multi-regional impacts of, and mechanisms of recovery from, a major disaster, the HayWired scenario — a hypothetical Magnitude 7.0 earthquake affecting California’s San Francisco Bay Area. The model integrates loss pathways: capital stock damage, labor supply shocks due to short-term population displacement and longer-run out-
Authors
Ian Sue Wing, Adam Z Rose, Dan Wei, Anne Wein
Upscaling wetland methane emissions from the FLUXNET-CH4 Eddy Covariance Network (UpCH4 v1.0): Model development, network assessment, and budget comparison
Wetlands are responsible for 20%–31% of global methane (CH4) emissions and account for a large source of uncertainty in the global CH4 budget. Data-driven upscaling of CH4 fluxes from eddy covariance measurements can provide new and independent bottom-up estimates of wetland CH4 emissions. Here, we develop a six-predictor random forest upscaling model (UpCH4), trained on 119 site-years of eddy cov
Authors
Gavin McNicol, Etienne Fluet-Chouinard, Zutao Ouyang, Sarah Knox, Zhang Zhen, Tuula Aalto, Sheel Bansal, Kuang-Yu Chang, Min Chen, Kyle Delwiche, Sarah Feron, Mathias Goeckede, Jinxun Liu, Avni Malhotra, Joe R. Melton, William Riley, Rodrigo Vargas, Kunxiaojia Yuan, Qing Yang, Qing Zhu, Pavel Alekseychik, Mika Aurela, David P. Billesbach, David I. Campbell, Jiquan Chen, Housen Chu, Ankur Desai, Eugenie Euskirchen, Jordan Goodrich, Timothy Griffis, Manuel Helbig, Takashi Hirano, Hiroki Iwata, Gerald Jurasinski, John King, Franziska Koebsch, Randall Kolka, Ken Krauss, Annalea Lohila, Ivan Mammarella, Mats Nilson, Asko Noormets, Walter Oechel, Matthias Peichl, Torsten Sachs, Ayaka Sakabe, Christopher Schulze, Oliver Sonnentag, Ryan C. Sullivan, Eeva-Stiina Tuittila, Masahito Ueyama, Timo Vesala, Eric Ward, Christian Wille, Guan Xhuan Wong, Donatella Zona, Lisamarie Windham-Myers, Benjamin Poulter, Robert B. Jackson
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.
Authors
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
Authors
Randi C. 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
Authors
Paul Selmants, Caroline Rose Conrad, Tamara 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
Authors
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
Authors
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
Authors
Nathan J. Wood, Jeff Peters, Kwok Fai Cheung, Yoshiki Yamazaki, Denille Calvo, Charles Guard
Crop water productivity from cloud-Based landsat helps assess California’s water savings
Demand for food and water are increasing while the extent of arable land and accessible fresh water are decreasing. This poses global challenges as economies continue to develop and the population grows. With agriculture as the leading consumer of water, better understanding how water is used to produce food may help support the increase of Crop Water Productivity (CWP; kg/m3), the ratio of crop o
Authors
Daniel Foley, Prasad Thenkabail, Adam Oliphant, Itiya Aneece, Pardhasaradhi Teluguntla
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
Authors
Jelena Vukomanovic, Lindsey Smart, Jennifer Koch, Virginia Dale, Sophie Plassin, Kristin B. Byrd, Colin Beier, Frederik Doyon