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Extreme drought impacts have been underestimated in grasslands and shrublands globally Extreme drought impacts have been underestimated in grasslands and shrublands globally

Drought has well-documented societal and economic consequences. Climate change is expected to intensify drought to even more extreme levels, but because such droughts have been historically rare, their impact on ecosystem functioning is not well known. We experimentally imposed the most frequent type of intensified drought—one that is ~1 y in duration—at 100 grassland and shrubland sites
Authors
Melinda D. Smith, Kate D Wilkins, Martin C. Holdrege, Peter A. Wilfahrt, Scott L. Collins, Alan K. Knapp, Osvaldo E. Sala, Jeffrey S. Dukes, Richard P. Phillips, Laura Yahdjian, Laureano A. Gherardi, Timothy Ohlert, Claus Beier, Lauchlan H. Fraser, Anke Jentsch, Michael E. Loik, Fernando T. Maestre, Sally A. Power, Qiang Yu, Andrew J. Felton, Seth M. Munson, Yiqi Luo, Hamed Abdoli, Mehdi Abedi, Concepcion L. Alados, Juan Alberti, Moshe Alon, Hui An, Brian Anacker, Maggie Anderson, Harald Auge, Seton Bachle, Khadijeh Bahalkeh, Michael Bahn, Amgaa Batbaatar, Taryn 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 Jr., Dianela A. Calvo, Michele Carbognani, Augusto Cardoni, Cameron N. Carlyle, Miguel Castillo-Garcia, Scott X. Chang, Jeff Chieppa, Marcus V. Cianciaruso, Ofer Cohen, Amanda L. Cordeiro, Daniela F. Cusack, Sven Dahlke, Pedro Daleo, Carla M. D'Antonio, Lee H. Dietterich, Tim S. Doherty, Maren Dubbert, Anne Ebling, Nico Eisenhauer, Felicia M. Fischer, T’ai G. W. Forte, Tobias Gebauer, Beatriz Gozalo, Aaron C. Greenville, Karlo G. Guidoni-Martins, Heather J. Hannusch, Siri Vatso Haugum, Yann Hautier, Mariet Hefting, Hugh A. L. Henry, Daniela Hoss, Johannes Ingrisch, Oscar Iribarne, Forest Isbell, Yari Johnson, Samuel E. Jordan, Eugene F. Kelly, Kaitlin Kimmel, Juergen Kreyling, György Kröel-Dulay, Alicia Kropfl, Angelika Kubert, Andrew Kulmatiski, Eric G. Lamb, Klaus Steenberg Larsen, Julie Larson, Jason Lawson, Cintia V. Leder, Anja Linstadter, Jielin Liu, Shirong Liu, Alexandra G. Lodge, Grisel Longo, Alejandro Loydi, Junwei Luan, Frederick Curtis Lubbe, Craig Macfarlane, Kathleen Mackie-Haas, Andrey V. Malyshev, Adrian Maturano-Ruiz, Thomas Merchant, Daniel B. Metcalfe, Akira S. Mori, Edwin Mudongo, Gregory S. Newman, Uffe N. Nielsen, Dale Nimmo, Yujie Niu, Paola Nobre, Rory C. O’Connor, Roma Ogaya, Gastón R. Oñatibia, Ildiko Orban, Brooke B. Osborne, Rafael Otfinowski, Meelis Pärtel, Josep Penuelas, Pablo L. Peri, Guadalupe Peter, Alessandro Petraglia, Catherine Picon-Cochard, Valerio D. Pillar, Juan M. Piñeiro-Guerra, Laura W. Ploughe, Robert M. Plowes, Cristy Portales-Reyes, Suzanne M. Prober, Yolanda Pueyo, Sasha C. Reed, Euan G. Ritchie, Dana Aylen Rodriguez, William E. Rogers, Christiane Roscher, Ana M. Sánchez, Bráulio A. Santos, Maria Cecilia Scarfo, Eric W. Seabloom, Baoku Shu, Lara Souza, Andreas Stampfli, Rachel J. Standish, Marcelo Sternberg, Wei Sun, Marie Sünnemann, Michelle Tedder, Pal Thorvaldsen, Dashuan Tian, Katja Tielborger, Alejandro Valdecantos, Liesbeth van den Brink, Vigdis Vandvik, Mathew R. Vankoughnett, Liv Guri Velle, Changhui Wang, Yi Wang, Glenda M. Wardle, Christiane Werner, Cunzheng Wei, Georg Wiehl, Jennifer L. Williams, Amelia A. Wolf, Michaela Zeiter, Fawei Zhang, Juntao Zhu, Ning Zong, Xiaoan Zuo

Characterizing performance of freshwater wetland methane models across time scales at FLUXNET-CH4 sites using wavelet analyses Characterizing performance of freshwater wetland methane models across time scales at FLUXNET-CH4 sites using wavelet analyses

Process-based land surface models are important tools for estimating global wetland methane (CH4) emissions and projecting their behavior across space and time. So far there are no performance assessments of model responses to drivers at multiple time scales. In this study, we apply wavelet analysis to identify the dominant time scales contributing to model uncertainty in the frequency...
Authors
Zhen Zhang, Sheel Bansal, Kuang-Yu Chang, Etienne Fluet-Chouinard, Kyle B. Delwiche, Mathias Goeckede, Adrian Gustafson, Sara Knox, Antii Leppanen, Licheng Liu, Jinxun Liu, Avni Malhotra, Tiina Markkanen, Gavin McNicol, Joe R. Melton, Paul A Miller, Changhui Peng, Maarit Raivonen, William Riley, Oliver Sonnentag, Tuula Aalto, Rodrigo Vargas, Wenxin Zhang, Qing Zhu, Qiuan Zhu, Qianlai Zhuang, Lisamarie Windham-Myers, Robert B. Jackson, Benjamin Poulter

Upscaling wetland methane emissions from the FLUXNET-CH4 Eddy Covariance Network (UpCH4 v1.0): Model development, network assessment, and budget comparison 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...
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

Estimating groundwater pumping for irrigation: A method comparison Estimating groundwater pumping for irrigation: A method comparison

Effective groundwater management is critical to future environmental, ecological, and social sustainability and requires accurate estimates of groundwater withdrawals. Unfortunately, these estimates are not readily available in most areas due to physical, regulatory, and social challenges. Here, we compare four different approaches for estimating groundwater withdrawals for agricultural...
Authors
Andrea E. Brookfield, Samuel Zipper, Anthony D. Kendall, Hoori Ajami, Jillian M. Deines

Identifying hydrologic signatures associated with streamflow depletion caused by groundwater pumping Identifying hydrologic signatures associated with streamflow depletion caused by groundwater pumping

Groundwater pumping can reduce streamflow in nearby waterways (‘streamflow depletion’), a process which must be accounted for in integrated management of surface and groundwater resources. However, causal identification of streamflow depletion from hydrographs alone is challenging because pumping impacts are masked by other drivers of hydrologic variability. To identify potential...
Authors
Dana A. Lapides, Samuel Zipper, John C. Hammond

Dynamic population models with temporal preferential sampling to infer phenology Dynamic population models with temporal preferential sampling to infer phenology

To study population dynamics, ecologists and wildlife biologists typically use relative abundance data, which may be subject to temporal preferential sampling. Temporal preferential sampling occurs when the times at which observations are made and the latent process of interest are conditionally dependent. To account for preferential sampling, we specify a Bayesian hierarchical abundance...
Authors
Michael Schwob, Mevin B. Hooten, Travis Mcdevitt-Galles

John Wesley Powell Center for Analysis and Synthesis Newsletter, volume 7, issue 1 John Wesley Powell Center for Analysis and Synthesis Newsletter, volume 7, issue 1

The John Wesley Powell Center for Synthesis & Analysis is a USGS initiative that aims to foster innovative thinking in Earth system science through collaborative analysis and synthesis of existing data and information. The Powell Center supports working groups that address some of the most pressing and complex questions facing society, such as climate change, biodiversity loss, water...
Authors
Jill Baron, Demi Jasmine Bingham

Density declines, richness increases, and composition shifts in stream macroinvertebrates Density declines, richness increases, and composition shifts in stream macroinvertebrates

Documenting trends of stream macroinvertebrate biodiversity is challenging because biomonitoring often has limited spatial, temporal, and taxonomic scopes. We analyzed biodiversity and composition of assemblages of >500 genera, spanning 27 years, and 6131 stream sites across forested, grassland, urban, and agricultural land uses throughout the United States. In this dataset...
Authors
Samantha L. Rumschlag, Michael B. Mahon, Devin K. Jones, William A. Battaglin, Jonny Behrens, Emily S. Bernhardt, Paul Bradley, Ethan Brown, Frederik De Laender, Ryan A. Hill, Stefan Kunz, Sylvia S. Lee, Emma J. Rossi, Ralf Schafer, Travis S. Schmidt, Marie Simonin, Kelly L. Smalling, Kristofor Voss, Jason R. Rohr

City-scale geothermal energy everywhere to support renewable resilience – A transcontinental cooperation City-scale geothermal energy everywhere to support renewable resilience – A transcontinental cooperation

Cities have important and varying incentives to transform their energy sector to all-electric with low carbon emissions. However, they often encounter a number of impediments when attempting to implement such a change. For example, while urban areas have the highest energy demand-density, cities often lack the space for installing additional energy generation and/or long-duration energy...
Authors
Gregor Goetzl, Erick R. Burns, Andrew J. Stumpf, Yu-Feng Lin, Amanda Kolker, Maciej R. Klonowski, Cornelia Steiner, Ryan Cain Cahalan, Jeffrey D. Pepin

Genetic diversity and IUCN Red List status Genetic diversity and IUCN Red List status

The International Union for Conservation of Nature (IUCN) Red List is an important and widely used tool for conservation assessment. The IUCN uses information about a species’ range, population size, habitat quality and fragmentation levels, and trends in abundance to assess extinction risk. Genetic diversity is not considered, although it affects extinction risk. Declining populations...
Authors
Chloe Schmidt, Sean M. Hoban, Margaret Hunter, Ivan Paz-Vinas, Colin J. Garroway

Genetic diversity goals and targets have improved, but remain insufficient for clear implementation of the post-2020 global biodiversity framework Genetic diversity goals and targets have improved, but remain insufficient for clear implementation of the post-2020 global biodiversity framework

Genetic diversity among and within populations of all species is necessary for people and nature to survive and thrive in a changing world. Over the past three years, commitments for conserving genetic diversity have become more ambitious and specific under the Convention on Biological Diversity’s (CBD) draft post-2020 global biodiversity framework (GBF). This Perspective article...
Authors
Sean M. Hoban, Michael W. Bruford, Jessica M. da Silva, W. Chris Funk, Richard Frankham, Michael J. Gill, Catherine E. Grueber, Myriam Heuertz, Margaret Hunter, Francine Kershaw, Robert C. Lacy, Caroline Lees, Margarida Lopes-Fernandes, Anna J. MacDonald, Alicia Mastretta-Yanes, Philip J. K. McGowan, Mariah H. Meek, Joachim Mergeay, Katie L. Millette, Cinnamon S. Mittan-Moreau, Laetitia M. Navarro, David O'Brien, Rob Ogden, Gernot Segelbacher, Ivan Paz-Vinas, Cristiano Vernesi, Linda Laikre
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