Publications
Filter Total Items: 243
Hierarchical mixture models and high-resolution monitoring data can inform siting and operational strategies to mitigate bat fatalities at wind turbines Hierarchical mixture models and high-resolution monitoring data can inform siting and operational strategies to mitigate bat fatalities at wind turbines
Bats provide critical ecosystem services, but bat fatalities due to wind energy development may imperil some bat populations. Statistical models are used to estimate the total fatalities that occur based on carcasses observed during monitoring surveys. Current models often estimate fatalities aggregated across species, time, and/or turbines, but fall short of reliably informing siting...
Authors
Charles J. Labuzzetta, Arnold (Contractor) Johnsen, Amber Andress, Teresa Bohner, Alejandro Grajal-Puche, Megan Seymour, Bethany R. Straw, Wayne E. Thogmartin, Bradley James Udell, Ashton M. Wiens, James Diffendorfer
Surface variable‐based machine learning for scalable arsenic prediction in undersampled areas Surface variable‐based machine learning for scalable arsenic prediction in undersampled areas
In the United States, private wells are not federally regulated, and many households do not test for Arsenic (As). Chronic exposure is linked with multiple health outcomes, and risk can change sharply over short distances and with well depth. Coarse maps or sparse sampling often miss exceedances. Most existing models operate at ∼1 km resolution and use groundwater chemistry or detailed...
Authors
Shams Azad, Mason O. Stahl, Melinda L. Erickson, Beck A. DeYoung, Craig T. Connolly, Lawrence Chillrud, Kathrin Schilling, Ana Navas-Acien, Anirban Basu, Brian Mailloux, Benjamin C. Bostick, Steven N. Chillrud
Identifying headwater streams across the conterminous United States Identifying headwater streams across the conterminous United States
Headwater streams play critical roles in hydrologic and biogeochemical processes and functions, yet their spatial distribution and land cover context remain poorly understood at continental scales, and no dedicated geospatial dataset exists. Building from a high-resolution conterminous United States (CONUS) hydrography network dataset, we quantified the spatial extent, density, and...
Authors
Charles R. Lane, Ellen D’Amico, Jay R. Christensen, Heather E. Golden, Frederick Y. Cheng, John C. Hammond, Admin Husic, Kristin L. Jaeger, C. Nathan Jones, Christa A. Kelleher, Li Li, D. Tyler Mahoney, Hilary K. McMillan, Adam N. Price, Roy Sando, Catalina Segura, Erin C. Seybold, Adam S. Ward, Margaret Zimmer
Projecting management-relevant change of undeveloped coastal barriers with the Mesoscale Explicit Ecogeomorphic Barrier model (MEEB) v1.0 Projecting management-relevant change of undeveloped coastal barriers with the Mesoscale Explicit Ecogeomorphic Barrier model (MEEB) v1.0
Models of coastal barrier geomorphic and ecologic change are valuable tools for understanding and predicting when, where, and how barriers evolve and transition between ecogeomorphic states. Few existing models of barrier systems are designed to operate over spatiotemporal scales congruous with effective management practices (i.e., decades/kilometers, referred to herein as “mesoscales”)
Authors
Ian Robert Reeves, Andrew D. Ashton, Erika E. Lentz, Christopher R. Sherwood, Davina Passeri, Sara Zeigler
Twenty years (2000-2020) of butterfly monitoring data across the contiguous United States Twenty years (2000-2020) of butterfly monitoring data across the contiguous United States
We present the most comprehensive, integrated, butterfly monitoring dataset ever assembled for the United States. It contains over 1.2 million count records, from 65,000 surveys, representing over 12.6 million individual butterflies. To compile this dataset, we integrated data and harmonized taxonomy across 19 butterfly monitoring programs in the United States – one national, 13...
Authors
Erica H Henry, Collin B. Edwards, Vaughn Shirey, Jeffrey S. Pippen, Dave Waetjen, Matthew L. Forister, Elise A. Larsen, Cheryl B. Schultz, James Michielini, Nathan Brockman, Kevin J. Burls, Ryan G. Drum, Martha Gatch, Jeffrey Glassberg, Nancy Hamlett, Shiran V. Hershcovich, Catherine Le, Steve McGaffin, Jen Meilinger, Lisa Richter, Regina Rochefort, Charles Schelz, Arthur M. Shapiro, Katheryn Sullivan, Douglas J. Taron, Wayne E. Thogmartin, Anna Walker, Anita Westphal, Jerome Wiedmann, Irmgard U. Wilcockson, Jennifer Zaspel, Leslie Ries
Fiber-optic sensing for earthquake hazards research, monitoring and early warning Fiber-optic sensing for earthquake hazards research, monitoring and early warning
The use of fiber‐optic sensing systems in seismology has exploded in the past decade. Despite an ever‐growing library of ground‐breaking studies, questions remain about the potential of fiber‐optic sensing technologies as tools for advancing if not revolutionizing earthquake‐hazards‐related research, monitoring, and early warning systems. A working group convened to explore these topics...
Authors
Jeffrey J. McGuire, Andrew J. Barbour, Zack J. Spica, Verónica Rodríguez Tribaldos, Zhongwen Zhan, Bradley P. Lipovsky, Robert J. Mellors, Ettore Biondi, Clara Yoon, Martin Karrenbach, Adam T. Ringler, James William Atterholt, Avinash Nayak, Theresa Marie Sawi, Loic Viens, Eileen R. Martin, Allen L. Husker, Paul Bodin, Morgan P. Moschetti, Qibin Shi, Nathaniel C. Miller, Prisha Puri
Drought intensity and duration interact to magnify losses in primary productivity Drought intensity and duration interact to magnify losses in primary productivity
As droughts become longer and more intense, impacts on terrestrial primary productivity are expected to increase progressively. Yet, some ecosystems appear to acclimate to multiyear drought, with constant or diminishing reductions in productivity as drought duration increases. We quantified the combined effects of drought duration and intensity on aboveground productivity in 74...
Authors
Timothy Ohlert, Melinda D. Smith, Scott L. Collins, Alan K. Knapp, Jeffrey S. Dukes, Osvaldo E. Sala, Kate D Wilkins, Seth M. Munson, Maggie I. Anderson, Meghan L. Avolio, Anping Chen, Meghan T. Hayden, Martin C. Holdrege, Ingrid J. Slette, Peter A. Wilfahrt, Claus Beier, Lauchlan H. Fraser, Anke Jentsch, Michael E. Loik, Yiqi Luo, Fernando T. Maestre, Richard P. Phillips, Sally A. Power, Laura Yahdjian, Qiang Yu, Angel Chen, Andrew J. Felton, Laureano A. Gherardi, Nicholas J. Lyon, Hamed Abdoli, Mehdi Abedi, Juan Alberti, Antonio I. Arroyo, Heidi Asbjornsen, Harald Auge, Seton Bachle, Michael Bahn, David C. Bartholomew, Amgaa Batbaatar, Taryn L. Bauerle, Karen H. Beard, Kai Behn, Ilka Beil, Lucio Biancari, Irmgard Blindow, Viviana Florencia Bondaruk, Elizabeth T. Borer, Edward W. Bork, Carlos Martin Bruschetti, Kerry M. Byrne, James F. Cahill, Dianela A. Calvo, Michele Carbognani, Cameron N. Carlyle, Karen Castillioni, Miguel Castillo-Garcia, Manjunatha H. Chandregowda, Scott X. Chang, Jeff Chieppa, Amber C. Churchill, Marcus Vinicius Cianciaruso, Amanda L. Cordeiro, Sara Cousins, Daniela F. Cusack, Sven Dahlke, Pedro Daleo, Lee H. Dietterich, Maren Dubbert, Nico Eisenhauer, T'ai G. Forte, Flavia A. Funk, Darcy Galiano, Aaron C. Greenville, Liebao Han, Siri Vatsø Haugum, Yann Hautier, Andy Hector, Hugh A. Henry, Daniela Hoss, Forest Isbell, Samuel E. Jordan, Yuguang Ke, Eugene F. Kelly, Sally E. Koerner, Juergen Kreyling, Gyorgy Kroel-Dulay, Alicia I. Kröpfl, Angelika Kübert, Andrew Kulmatiski, Eric G. Lamb, Klaus Steenberg Larsen, Steven R. Lee, Smriti Pehim Limbu, Anja Linstädter, Shirong Liu, Grisel Longo, Alejandro Loydi, Junwei Luan, F. Curtis Lubbe, Andrey V. Malyshev, Cameron D. McIntire, Daniel B. Metcalfe, Malesela Vincent Mokoka, Akira S. Mori, Edwin Mudongo, Gregory S. Newman, Uffe N. Nielsen, Raúl Ochoa-Hueso, Rory C. O'Connor, Romà Ogaya, Gastón R. Oñatibia, Ildiko Orban, Brooke B. Osborne, Rafael Otfinowski, Meelis Pärtel, Jesús Pascual, Josep Peñuelas, Pablo L. Peri, David S. Pescador, Guadalupe Peter, Alessandro Petraglia, Catherine Picon-Cochard, Valério D. Pillar, Juan M. Piñeiro-Guerra, Laura Weber Ploughe, Robert M. Plowes, Cristy Portales-Reyes, Suzanne M. Prober, Yolanda Pueyo, Golsa Rahmati, Sasha C. Reed, Dana Aylén Rodríguez, William E. Rogers, Christiane Roscher, David W. Rowley, Ana M. Sánchez, Bráulio A. Santos, Michael P. Schellenberg, Michael Scherer-Lorenzen, Eric W. Seabloom, Ruonan Shen, Baoku Shi, Lara Souza, Andreas Stampfli, Rachel J. Standish, Marcelo Sternberg, Wei Sun, Marie Sünnemann, Michelle Tedder, Tyson J. Terry, Pål Thorvaldsen, Katja Tielbörger, Maud Tissink, Matthew A. Vadeboncoeur, Alejandro Valdecantos, Liesbeth van den Brink, Vigdis Vandvik, Liv Guri Velle, Svenja Wanke, Glenda M. Wardle, Cunzheng Wei, Christiane Werner, Georg Wiehl, Jennifer L. Williams, Amelia A. Wolf, Honghui Wu, Chong Xu, Xuechen Yang, Jenifer L. Yost, Alyssa L. Young, Ping Yue, Juan M. Zeberio, Michaela Zeiter, Haiyang Zhang, Juntao Zhu, Xiaoan Zuo
Fiber-imaged supershear dynamics in the 2024 Mw 7 Mendocino Fault earthquake Fiber-imaged supershear dynamics in the 2024 Mw 7 Mendocino Fault earthquake
Fault structure and rupture physics are deeply intertwined, and observations of this coupling are critical for understanding earthquake behavior. Rupture propagation is observable at fine scales using dense seismic networks. Fiber-optic sensing allows for long-term deployments of ultradense arrays that enable high-resolution measurements of infrequent, large earthquakes. We recorded the...
Authors
James William Atterholt, Jeffrey J. McGuire, Andrew J. Barbour, Connie Stewart, Morgan P. Moschetti
Diverging fish biodiversity trends in cold and warm rivers and streams Diverging fish biodiversity trends in cold and warm rivers and streams
Worldwide, freshwater systems contain more than 18,000 fish species1,2,3, which are critical to the functioning of these ecosystems4 and are vital cultural and economic resources to humans5,6,7; despite this value, fish biodiversity is at risk globally8,9. In the USA, leading threats to fish communities in rivers and streams include climate change and invasive fish introductions and game...
Authors
Samantha L. Rumschlag, Brian Gallagher, Ryan Hill, Ralf B. Schafer, Travis S. Schmidt, Taylor Woods, Darin A. Kopp, Michael Dumelle, Jason Rohr, Frederik De Laender, Joel Hoffman, Jonathan Behrens, Ryan Lepak, Devin Jones, Michael Mahon
Using long-term ecological datasets to unravel the impacts of short-term meteorological disturbances on phytoplankton communities Using long-term ecological datasets to unravel the impacts of short-term meteorological disturbances on phytoplankton communities
Extreme meteorological events such as storms are increasing in frequency and intensity, but our knowledge of their impacts on aquatic ecosystems and emergent system properties is limited. Understanding the ecological impacts of storms on the dynamics of primary producers remains a challenge that needs to be addressed to assess the vulnerability of freshwater ecosystems to extreme weather
Authors
V. Tran-Khac, J.P. Doubek, Vijay P. Patil, J.D. Stockwell, R. Adrian, C.-W. Change, G. Dur, A. Lewandowska, J.A. Rusak, N. Salmaso, D. Straile, S.J. Thackeray, P. Venail, R. Bhattacharya, J. Brentrup, R. Bruel, H. Feuchtmayr, M.O. Gessner, H-P. Grossart, B.W. Ibelings, S. Jacquet, S. MacIntyre, S.S. Matsuzaki, E. Nodine, P. Nõges, L.G. Rudstam, F. Soulignac, P. Verburg, P. Znachor, T. Zohary, O. Anneville
A quantitative classification of the geography of non-native flora in the United States A quantitative classification of the geography of non-native flora in the United States
Aim Non-native plants have the potential to harm ecosystems. Harm is classically related to their distribution and abundance, but this geographical information is often unknown. Here, we assess geographical commonness as a potential indicator of invasive status for non-native flora in the United States. Geographical commonness could inform invasion risk assessments across species and...
Authors
Bethany A. Bradley, Annette Evans, Helen Sofaer, Montserrat Vilà, David Barnett, Evelyn M. Beaury, Dana M. Blumenthal, Jeffrey Corbin, Jeffrey Dukes, Regan Early, Ines Ibanez, Ian S. Pearse, Lais Petri, Cascade J.B. Sorte
Identifying preferential flow from soil moisture time series: Review of methodologies Identifying preferential flow from soil moisture time series: Review of methodologies
Identifying and quantifying preferential flow (PF) through soil—the rapid movement of water through spatially-distinct pathways in the subsurface—is vital to understanding how the hydrologic cycle responds to climate, land cover, and anthropogenic changes. In recent decades, methods have been developed that use measured soil moisture time series to identify PF. Because they allow for...
Authors
John R. Nimmo, Inge Wiekenkamp, Ryoko Araki, Jannis Groh, Nitin Singh, Octavia Crompton, Briana Wyatt, Hoori Ajami, Daniel Gimenez, Daniel Hirmas, Pamela Sullivan, Matthias Sprenger