Preprints

Filtering by Subject: Life Sciences

Earthquake Swarms and Slow Slip on a Sliver Fault in the Mexican Subduction Zone

Shannon Fasola, Michael Brudzinski, Stephen G. Holtkamp, et al.

Published: 2018-08-25
Subjects: Earth Sciences, Geophysics and Seismology, Life Sciences, Physical Sciences and Mathematics

The Mexican Subduction Zone is an ideal location for studying subduction processes due to the short trench-to-coast distances that bring broad portions of the seismogenic and transition zones of the plate interface inland. Using a recently generated seismicity catalog from a local network in Oaxaca, we identified 20 swarms of earthquakes (M<5) from 2006-2012. Swarms outline what appears to be [...]

Fluid inclusions from the deep Dead Sea sediment provide new insights on Holocene extreme microbial life

Camille Thomas, Daniel Ariztegui

Published: 2018-07-24
Subjects: Biology, Earth Sciences, Environmental Microbiology and Microbial Ecology Life Sciences, Life Sciences, Microbiology, Paleobiology, Physical Sciences and Mathematics

The Dead Sea Deep Drilling Project allowed to retrieve a continuous sedimentary record spanning the two last glacial cycles. This unique archive, in such an extreme environment, has allowed for the development of new proxies and the refinement of already available paleoenvironmental studies. In particular, the interaction of the lake and sediment biosphere with elements and minerals that [...]

Terrestrial Gross Primary Production: Using NIRv to Scale from Site to Globe

Grayson Badgley, Leander D. L. Anderegg, Joseph A. Berry, et al.

Published: 2018-07-24
Subjects: Ecology and Evolutionary Biology, Life Sciences, Physiology, Plant Sciences

Terrestrial photosynthesis is the largest and one of the most uncertain fluxes in the global carbon cycle. We find that NIRv, a remotely sensed measure of canopy structure, accurately predicts photosynthesis at FLUXNET validation sites at monthly to annual timescales (R2 = 0.68), without the need for difficult to acquire information about environmental factors that constrain photosynthesis at [...]

Testing for the effects of pre-season temperature and winter-chilling on land-surface phenology of coniferous and broadleaved forests in Central Europe

Cornelius Senf, Tobias Krueger

Published: 2018-07-10
Subjects: Ecology and Evolutionary Biology, Life Sciences, Terrestrial and Aquatic Ecology

Phenology is an important indicator of climate change impacts on vegetated ecosystems. Changes in leaf unfolding dates in response to changing temperatures have been well documented from in-situ phenological measurements across Central Europe. However, it is unclear whether those processes can be scaled to the landscape scale, which is important to accurately represent phenology in (global) [...]

Geostatistical Earth Modelling of Cyclic Depositional Facies and Diagenesis

Thomas Le Blévec, Olivier Dubrule, Cédric M. John, et al.

Published: 2018-07-03
Subjects: Engineering, Life Sciences

In siliciclastic and carbonate reservoirs, depositional facies are often described as being organized in cyclic successions that are overprinted by diagenesis. Most reservoir modelling workflows are not able to reproduce stochastically such patterns. Herein, a novel geostatistical method is developed to model depositional facies architectures that are rhythmic and cyclic, together with [...]

Micromorphological report of Hof ter Coign

Arnald Puy

Published: 2018-06-28
Subjects: Agriculture, Earth Sciences, Education, Engineering, Environmental Sciences, Environmental Studies, Geography, Geology, Life Sciences, Physical and Environmental Geography, Physical Sciences and Mathematics, Sedimentology, Social and Behavioral Sciences, Soil Science

Micromorphological report of the Hof ter Coign site (Belgium)

Evaluation of open-access global digital elevation models (AW3D30, SRTM and ASTER) for flood modelling purposes

Laurent Courty, Julio César Soriano-Monzalvo, Adrián Pedrozo-Acuña

Published: 2018-06-25
Subjects: Aerospace Engineering, Civil and Environmental Engineering, Computational Engineering, Computer Engineering, Earth Sciences, Engineering, Environmental Sciences, Hydraulic Engineering, Hydrology, Life Sciences, Physical Sciences and Mathematics, Water Resource Management

Digital Elevation Models (DEM) are a key piece of information for the accurate representation of topographic controls exerted in hydrologic and hydraulic models. Many practitioners rely on open-access global datasets usually obtained from space-borne survey due to the cost and sparse coverage of sources of higher resolution. In may 2016 the Japan Aerospace eXploration Agency publicly released an [...]

Quantifying the Fate of Wastewater Nitrogen Discharged to a Canadian River

Jason Venkiteswaran, Sherry Schiff, Brian Ingalls

Published: 2018-06-22
Subjects: Biogeochemistry, Earth Sciences, Environmental Indicators and Impact Assessment, Environmental Monitoring, Environmental Sciences, Life Sciences, Physical Sciences and Mathematics, Systems Biology, Water Resource Management

Addition of nutrients, such as nitrogen, can degrade water quality in lakes, rivers, and estuaries. To predict the fate of nutrient inputs, an understanding of the biogeochemical cycling of nutrients is needed. We develop and employ a novel, parsimonious, process-based model of nitrogen concentrations and stable isotopes that quantifies the competing processes of volatilization, uptake, [...]

Fish species classification in underwater video monitoring using Convolutional Neural Networks

Frederik Kratzert, Helmut Mader

Published: 2018-05-16
Subjects: Animal Sciences, Aquaculture and Fisheries Life Sciences, Computer Sciences, Environmental Monitoring, Environmental Sciences, Life Sciences, Other Life Sciences, Physical Sciences and Mathematics, Software Engineering

This report presents a case study for automatic fish species classification in underwater video monitoring of fish passes. Although the presented approach is based on the FishCam monitoring system, it can be used with any video-based monitoring system. The presented classification scheme in this study, is based on Convolutional Neural Networks that do not require the calculation of any [...]

Regional-scale paleobathymetry controlled location, but not magnitude, of tidal dynamics in the Late Cretaceous Western Interior Seaway, USA.

Christopher D. Dean, Daniel Collins, Marijn van Cappelle, et al.

Published: 2018-05-11
Subjects: Earth Sciences, Life Sciences, Other Earth Sciences, Physical Sciences and Mathematics

Despite extensive outcrop and previous sedimentologic study, the role of tidal processes along sandy, wave- and river-dominated shorelines of the North American Cretaceous Western Interior Seaway remains uncertain, particularly for the extensive mid-Campanian (c. 75-77.5 Ma) tidal deposits of Utah and Colorado, USA. Herein paleotidal modelling, paleogeographic reconstructions, and interpretation [...]

Plants and Drought in a Changing Climate

Abigail L. S. Swann

Published: 2018-04-24
Subjects: Earth Sciences, Ecology and Evolutionary Biology, Life Sciences, Other Earth Sciences, Other Ecology and Evolutionary Biology, Physical Sciences and Mathematics

Purpose of review: Climate is changing in response to rising concentrations of atmospheric CO2 and it is commonly asserted that this will cause droughts to become more frequent and severe. However, different metrics of drought give diverging estimates of future impacts. I present a summary of the significant yet underappreciated influence that plant stomatal and growth responses to CO2 have on [...]

Strain analysis of a seismically-imaged mass-transport complex, offshore Uruguay

Michael J. Steventon, Christopher Aiden-Lee Jackson, David Hodgson, et al.

Published: 2018-04-23
Subjects: Earth Sciences, Engineering, Geology, Life Sciences, Physical Sciences and Mathematics

Strain style, magnitude, and distribution within mass-transport complexes (MTCs) is important for understanding the process evolution of submarine mass flows and for estimating their runout distances. Structural restoration and quantification of strain in gravitationally-driven passive margins have been shown to approximately balance between updip extensional and downdip compressional domains; [...]

Marine and freshwater micropearls: Biomineralization producing strontium-rich amorphous calcium carbonate inclusions is widespread in the genus Tetraselmis (Chlorophyta)

Agathe Martignier, Montserrat Filella, Kilian Pollok, et al.

Published: 2018-04-22
Subjects: Life Sciences, Other Life Sciences

The genus Tetraselmis (Chlorophyta) includes more than 30 species of unicellular micro-algae that have been widely studied since the description of the first species in 1878. Tetraselmis cordiformis (presumably the only freshwater species of the genus) was discovered recently to form intracellular mineral inclusions, called micropearls, which had been previously overlooked. These non-skeletal [...]

Constraints on North Anatolian Fault zone width in the crust and upper mantle from S-wave teleseismic tomography

Elvira Papaleo, David Cornwell, Nick Rawlinson

Published: 2018-04-10
Subjects: Earth Sciences, Geophysics and Seismology, Life Sciences, Physical Sciences and Mathematics

We present high resolution S‐wave teleseismic tomography images of the western segment of the North Anatolian Fault (NAFZ) in Turkey using teleseismic data recorded during the deployment period of the DANA array. The array comprised 66 stations with a nominal station spacing of 7 km, thus permitting a horizontal and vertical resolution of approximately 15 km. We use the current S‐wave results [...]

Knowledge in the Dark: Scientific Challenges and Ways Forward

Jonathan Jeschke, Sophie Lokatis, Isabelle Bartram, et al.

Published: 2018-03-27
Subjects: Earth Sciences, Education, Environmental Sciences, Environmental Studies, Higher Education, Language and Literacy Education, Liberal Studies, Library and Information Science, Life Sciences, Medicine and Health Sciences, Physical Sciences and Mathematics, Public Health, Science and Mathematics Education, Social and Behavioral Sciences

We propose the concept of knowledge in the dark – or short: dark knowledge – and outline how it can help clarify why in our current era of Big Data, the knowledge (i.e. evidence-based understanding) of people does not seem to be substantially increasing despite a rapid increase in produced data and information. Key reasons underlying dark knowledge are: (1) the production of biased, erroneous or [...]

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