Negative / Null Result ReportOpen accessEnvironmental Science
Brent B. Hughes, M. D. Levey, Monique C. Fountain et al. · 2015 · Proceedings of the National Academy of Sciences
Coastal ecosystems provide numerous important ecological services, including maintenance of biodiversity and nursery grounds for many fish species of ecological and economic importance. However, human population growth has led to increased…
View details →Failed Experiment ReportOpen accessEnvironmental Science
Tetsu K. Tokunaga, Jiamin Wan, Jongwon Jung et al. · 2013 · Water Resources Research
In geologic carbon sequestration, reliable predictions of CO 2 storage require understanding the capillary behavior of supercritical (sc) CO 2 . Given the limited availability of measurements of the capillary pressure ( P c ) dependence on…
View details →Negative / Null Result ReportEnvironmental Science
Eric E. Knapp, J. Morgan Varner, Matt D. Busse et al. · 2011 · International Journal of Wildland Fire
Mechanical mastication converts shrub and small tree fuels into surface fuels, and this method is being widely used as a treatment to reduce fire hazard. The compactness of these fuelbeds is thought to moderate fire behaviour, but whether…
View details →Failed Experiment ReportOpen accessEnvironmental Science
Mélanie Abécassis, Inna Senina, Patrick Lehodey et al. · 2013 · PLoS ONE
Habitat preferences for juvenile loggerhead turtles in the North Pacific were investigated with data from two several-year long tagging programs, using 224 satellite transmitters deployed on wild and captive-reared turtles. Animals ranged between 23 and 81 cm in straight carapace length. Tracks were used to investigate changes in temperature preferences and speed of the animals with size. Average sea surface temperatures along the tracks ranged from 18 to 23 °C. Bigger turtles generally experienced larger temperature ranges and were encountered in warmer surface waters. Seasonal differences be
View details →Negative / Null Result ReportOpen accessEnvironmental Science
Shane Coffield, Casey Graff, Yang Chen et al. · 2019 · International Journal of Wildland Fire
Fires in boreal forests of Alaska are changing, threatening human health and ecosystems. Given expected increases in fire activity with climate warming, insight into the controls on fire size from the time of ignition is necessary. Such…
View details →Negative / Null Result ReportOpen accessEnvironmental Science
Sandrine Guerlet, Sourish Basu, A. Butz et al. · 2013 · Geophysical Research Letters
Column‐averaged dry air mole fractions of carbon dioxide (XCO 2 ) measured by the Greenhouse Gases Observing Satellite (GOSAT) reveal significant interannual variation (IAV) of CO 2 uptake during the Northern Hemisphere summer between 2009…
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Frederiek Sperna Weiland, Clément Tisseuil, Hans H. Dürr et al. · 2012 · Hydrology and earth system sciences
Abstract. Potential evaporation (PET) is one of the main inputs of hydrological models. Yet, there is limited consensus on which PET equation is most applicable in hydrological climate impact assessments. In this study six different methods to derive global scale reference PET daily time series from Climate Forecast System Reanalysis (CFSR) data are compared: Penman-Monteith, Priestley-Taylor and original and re-calibrated versions of the Hargreaves and Blaney-Criddle method. The calculated PET time series are (1) evaluated against global monthly Penman-Monteith PET time series calculated from
View details →Negative / Null Result ReportOpen accessEnvironmental Science
Gregor Perich, Mehmet Özgür Türkoglu, Lukas Valentin Graf et al. · 2023 · Field Crops Research
Mapping and predicting crop yield on a large scale is increasingly important for use cases such as policy-making, risk insurance and precision agriculture applications at farm and field scale. The higher spatial resolution of Sentinel-2 compared to Landsat allows for satellite-based crop yield mapping even in relatively small scaled agricultural settings such as found in Switzerland and other central European regions. In this study, five years (2017–2021) of cereal crop yield data from a combine harvester were used to model crop yield within-field, on a spatial scale corresponding to the Senti
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Michael Craig, G.E.St.J. Hardy, Joseph B. Fontaine et al. · 2012 · Journal of Applied Ecology
Summary 1. There is increasing evidence that passive faunal recolonisation of restored areas can take decades or even centuries, reducing benefits to biodiversity from restoration. Thus, there is a need to develop restoration and…
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Baptiste A.J. Poursat, Rob J. M. van Spanning, Martin Braster et al. · 2019 · Ecotoxicology and Environmental Safety
) under the test conditions. Inoculation of the chemostat led to a rapid shift in the community composition and abundance. The community exposed to 1.5 mg/l of MET was still able to completely consume MET in the RBTs after one-month exposure, but three- and nine-months exposure resulted in reduced removal of MET in the RBTs. The ability of the activated sludge community to degrade MET and GUA is the result of environmental exposure to these chemicals as well as of conditions that could not be reproduced in the laboratory system. A MET-degrading strain belonging to the genus Aminobacter has bee
View details →Failed Experiment ReportOpen accessEnvironmental Science
Alban de Lavenne, Vazken Andréassian, Guillaume Thirel et al. · 2019 · Water Resources Research
Abstract In semidistributed hydrological modeling, sequential calibration usually refers to the calibration of a model by considering not only the flows observed at the outlet of a catchment but also the different gauging points inside the…
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Manoeli Lupatini, Afnan Khalil Ahmad Suleiman, Rodrigo Josemar Seminoti Jacques et al. · 2013 · PLoS ONE
The Pampa biome is considered one of the main hotspots of the world's biodiversity and it is estimated that half of its original vegetation was removed and converted to agricultural land and tree plantations. Although an increasing amount of knowledge is being assembled regarding the response of soil bacterial communities to land use change, to the associated plant community and to soil properties, our understanding about how these interactions affect the microbial community from the Brazilian Pampa is still poor and incomplete. In this study, we hypothesized that the same soil type from the s
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Neil A. Hagen, Bernard Lapointe, May Ong-Lam et al. · 2011 · Current Oncology
BACKGROUND: Cancer pain is highly prevalent, and existing treatments are often insufficient to provide adequate relief. OBJECTIVES: We assessed the long-term safety and efficacy of subcutaneous tetrodotoxin treatment in reducing the intensity of chronic cancer-related pain. METHODS: In this multicentre open-label longitudinal trial, 30 μg tetrodotoxin was administered subcutaneously twice daily for 4 days in a heterogeneous cohort of patients with persistent pain despite opioids and other analgesics. "Responder" was defined as a mean reduction of 30% or more in pain intensity from baseline; an
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Hlalefang Khobai, Nwabisa Kolisi, Clement Moyo et al. · 2020 · International Journal of Energy Economics and Policy
The importance of renewable energy consumption has grown to a large extent over the recent years. The benefits of renewable energy consumption ranging from improved environmental quality to higher economic growth are well documented. However, the impact of renewable energy consumption on unemployment has received relatively less attention. This study examines the relationship between renewable energy consumption and unemployment in South Africa over the period 1990-2014. The Autoregressive Distributed Lag (ARDL) model was employed to test the long-run and short-run impacts of renewable energy
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Andrés Baselga, Miguel B. Araújo · 2010 · Journal of Biogeography
Abstract Aim The aim of community‐level modelling is to improve the performance of species distributional models by taking patterns of co‐occurrence among species into account. Here, we test this expectation by examining how well three…
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Philipp Brun, Thomas Kiørboe, Priscilla Licandro et al. · 2016 · Global Change Biology
Statistical species distribution models (SDMs) are increasingly used to project spatial relocations of marine taxa under future climate change scenarios. However, tests of their predictive skill in the real-world are rare. Here, we use…
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Britta Jänicke, Fred Meier, Daniel Fenner et al. · 2016 · International Journal of Climatology
ABSTRACT Model‐based studies on urban heat islands can be seriously affected by errors in near‐surface air temperature ( T 2), especially if errors differ between cities and their rural surroundings. Furthermore, errors in T 2 strongly…
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Yinxue Liu, Paul Bates, Jeffrey Neal et al. · 2021 · Water Resources Research
Abstract Accurate terrain representation is critical to estimating flood risk in urban areas. However, all current global elevation data sets can be regarded as digital surface models in urban areas as they contain building artifacts that…
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Nikki Gillum Posnack, Rabia Idrees, Hao Ding et al. · 2015 · PLoS ONE
BACKGROUND: The pervasive nature of plastics has raised concerns about the impact of continuous exposure to plastic additives on human health. Of particular concern is the use of phthalates in the production of flexible polyvinyl chloride (PVC) products. Di-2-ethylhexyl-phthalate (DEHP) is a commonly used phthalate ester plasticizer that imparts flexibility and elasticity to PVC products. Recent epidemiological studies have reported correlations between urinary phthalate concentrations and cardiovascular disease, including an increased risk of high blood pressure and coronary risk. Yet, there
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Witoon Purahong, Dolaya Sadubsarn, Benjawan Tanunchai et al. · 2019 · Microorganisms
Mangrove forest trees play important ecological functions at the interface between terrestrial and marine ecosystems. However, despite playing crucial roles in plant health and productivity, there is little information on microbiomes of the tree species in mangrove ecosystems. Thus, in this study we aimed to characterize the microbiome in soil (rhizosphere) and plant (root, stem, and leaf endosphere) compartments of the widely distributed mangrove tree Rhizophora stylosa. Surprisingly, bacterial operational taxonomic units (OTUs) were only confidently detected in rhizosphere soil, while fungal
View details →Negative / Null Result ReportOpen accessEnvironmental Science
Dajana Radujković, Erik Verbruggen, Bjarni D. Sigurðsson et al. · 2017 · FEMS Microbiology Ecology
Global change is expected to affect soil microbial communities through their responsiveness to temperature. It has been proposed that prolonged exposure to elevated temperatures may lead to progressively larger effects on soil microbial…
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J Prazák, Luca G. Valente, Manuela Iten et al. · 2021 · The Journal of Infectious Diseases
BACKGROUND: The optimal method for delivering phages in the context of ventilator-associated pneumonia (VAP) is unknown. In the current study, we assessed the utility of aerosolized phages (aerophages) for experimental…
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Morgan Hardy, Jamie McCasland · 2019 · The World Bank Economic Review
Abstract Entrepreneurs in developing countries report that unreliable electricity imposes a serious constraint, yet little evidence exists on how blackouts impact the micro-firms that account for the majority of employment. This article…
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Matthew A. Thomas, Benjamin B. Mirus, Joel B. Smith · 2020 · Hydrological Processes
Abstract The devastating impacts of the widespread flooding and landsliding in Puerto Rico following the September 2017 landfall of Hurricane Maria highlight the increasingly extreme atmospheric disturbances and enhanced hazard potential…
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Amparo Ferrero, Ana Esplugues, Marisa Estarlich et al. · 2017 · Environmental Pollution
derived from a lifetime risk of leukemia above 1/100 000. Monitoring season, maternal country of birth and parental tobacco consumption were associated with residential benzene exposure (indoor and outdoors). Additionally, indoor levels…
View details →Negative / Null Result ReportEnvironmental Science
Di Tian, Christopher J. Martinez, W. D. Graham et al. · 2014 · Journal of Climate
Abstract This study compared two types of approaches to downscale seasonal precipitation (P) and 2-m air temperature (T2M) forecasts from the North American Multimodel Ensemble (NMME) over the states of Alabama, Georgia, and Florida in the…
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Robert N. Meroney, David E. Neff · 2010
Numerical calculations of wind loads on solar photovoltaic collectors were used to estimate drag, lift and overturning moments on different collector support systems. These results were compared with direct force measurement tests obtained…
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Delson Chikobvu, Retius Chifurira · 2015 · South African Journal of Science
We modelled the mean annual rainfall for data recorded in Zimbabwe from 1901 to 2009. Extreme value theory was used to estimate the probabilities of meteorological droughts. Droughts can be viewed as extreme events which go beyond and/or below normal rainfall occurrences, such as exceptionally low mean annual rainfall. The duality between the distribution of the minima and maxima was exploited and used to fit the generalised extreme value distribution (GEVD) to the data and hence find probabilities of extreme low levels of mean annual rainfall. The augmented Dickey Fuller test confirmed that r
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Imogen Wadlow, Clare Paton‐Walsh, Hugh Forehead et al. · 2019 · Atmosphere
Motivated by public interest, the Clean Air and Urban Landscapes (CAUL) hub deployed instrumentation to measure air quality at a roadside location in Sydney. The main aim was to compare concentrations of fine particulate matter (PM2.5) measured along a busy road section with ambient regional urban background levels, as measured at nearby regulatory air quality stations. The study also explored spatial and temporal variations in the observed PM2.5 concentrations. The chosen area was Randwick in Sydney, because it was also the subject area for an agent-based traffic model. Over a four-day campai
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Odunayo David Adeniyi, Alexander Brenning, Alice Bernini et al. · 2023 · Land
Sustainable agricultural landscape management needs reliable and accurate soil maps and updated geospatial soil information. Recently, machine learning (ML) models have commonly been used in digital soil mapping, together with limited data, for various types of landscapes. In this study, we tested linear and nonlinear ML models in predicting and mapping soil properties in an agricultural lowland landscape of Lombardy region, Italy. We further evaluated the ability of an ensemble learning model, based on a stacking approach, to predict the spatial variation of soil properties, such as sand, sil
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