51   Artículos

 
en línea
Z. Jason Hou, Nicholas D. Ward, Allison N. Myers-Pigg, Xinming Lin, Scott R. Waichler, Cora Wiese Moore, Matthew J. Norwood, Peter Regier and Steven B. Yabusaki    
The influence of coastal ecosystems on global greenhouse gas (GHG) budgets and their response to increasing inundation and salinization remains poorly constrained. In this study, we have integrated an uncertainty quantification (UQ) and ensemble machine ... ver más
Revista: Water    Formato: Electrónico

 
en línea
Srinivasagan N. Subhashree, C. Igathinathane, Adnan Akyuz, Md. Borhan, John Hendrickson, David Archer, Mark Liebig, David Toledo, Kevin Sedivec, Scott Kronberg and Jonathan Halvorson    
Farmers and ranchers depend on annual forage production for grassland livestock enterprises. Many regression and machine learning (ML) prediction models have been developed to understand the seasonal variability in grass and forage production, improve ma... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Katie Aylward, Reto Weber, Yemao Man, Monica Lundh and Scott N. MacKinnon    
The Sea Traffic Management (STM) Validation project is a European based initiative which focuses on connecting and updating the maritime world in real time, with efficient information exchange. The purpose of this paper is to evaluate two functions devel... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Yemao Man, Tobias Sturm, Monica Lundh and Scott N. MacKinnon    
The shipping industry constantly strives to achieve efficient use of energy during sea voyages. Previous research that can take advantages of both ethnographic studies and big data analytics to understand factors contributing to fuel consumption and seek... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Molly N. Darr, Rachel K. Brooks, Nathan P. Havill, E. Richard Hoebeke and Scott M. Salom    
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Revista: Forests    Formato: Electrónico

 
en línea
Bharat M. Shrestha, Scott X. Chang, Edward W. Bork and Cameron N. Carlyle    
Agroforestry practices that intentionally integrate trees with crops and/or livestock in an agricultural production system could enhance carbon (C) sequestration and reduce greenhouse gas (GHG) emissions from terrestrial ecosystems, thereby mitigating gl... ver más
Revista: Forests    Formato: Electrónico

 
en línea
Dianne Scott, Kornelia N. Iipinge, John K. E. Mfune, Davison Muchadenyika, Olavi V. Makuti and Gina Ziervogel    
The aim of the paper is to present a story about the 2015 to early 2017 Windhoek drought in the context of climate change while using the narrative approach. The story that is presented here is derived from the engagement of participants in a transdiscip... ver más
Revista: Water    Formato: Electrónico

 
en línea
Bailey A. Hewitt, Lianna S. Lopez, Katrina M. Gaibisels, Alyssa Murdoch, Scott N. Higgins, John J. Magnuson, Andrew M. Paterson, James A. Rusak, Huaxia Yao and Sapna Sharma    
Lake ice phenology (timing of ice breakup and freeze up) is a sensitive indicator of climate. We acquired time series of lake ice breakup and freeze up, local weather conditions, and large-scale climate oscillations from 1981?2015 for seven lakes in nort... ver más
Revista: Water    Formato: Electrónico

 
en línea
Ben Jarihani, Roy C. Sidle, Rebecca Bartley, Christian H. Roth and Scott N. Wilkinson    
Rainfall is the main driver of hydrological processes in dryland environments and characterising the rainfall variability and processes of runoff generation are critical for understanding ecosystem function of catchments. Using remote sensing and in situ... ver más
Revista: Water    Formato: Electrónico

 
en línea
Simone Z. Leao, Scott N. Lieske, Lindsey Conrow, Jonathan Doig, Vandana Mann and Chris J. Pettit    
To realize the full potential of crowdsourced data collected by smartphone applications in urban research and planning, there is a need for parsimonious, reliable, computationally and temporally efficient data processing routines. The literature indicate... ver más
Revista: Urban Science    Formato: Electrónico

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