1,720,976 research outputs found
Climate change increases ammonia emissions, reducing the efficacy of mitigation actions (AMCLIM modelling results)
No full textTemperature sensitivity of agricultural ammonia emissions modelled by the AMCLIM model. Projected agricultural ammonia emissions in 2041-2050 and 2091-2100 under four different shared socio-economic pathways (SSPs): SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5.
Mitigation of agricultural ammonia emissions for the year 2010. Base run results are deposited under:
https://datashare.ed.ac.uk/handle/10283/8753
https://datashare.ed.ac.uk/handle/10283/895
Data supporting the paper "A climate-dependent global model of ammonia emissions from chicken farming"
No full textThis dataset contains files of ammonia emissions from global chicken agriculture, from chicken housing to land spreading of chicken manure. All files are in netCDF format and can be easily read and processed by Python packages, e.g. Xarray or netCDF4. More details can be read from the files. Please note that these files are to support the paper submitted to the Journal Biogeosciences. Any inquiries go to [email protected] Broiler_file.nc: ammonia emission and volatilisation rate from broiler housing Layer_file.nc: ammonia emission and volatilisation rate from layer housing bc_file.nc: ammonia emission and volatilisation rate from backyard chicken barley NH3.nc: ammonia emission and volatilisation rate from fertilising barley maize NH3.nc: ammonia emission and volatilisation rate from fertilising maize potato NH3.nc: ammonia emission and volatilisation rate from fertilising potato rice NH3.nc: ammonia emission and volatilisation rate from fertilising rice sugarbeet NH3.nc: ammonia emission and volatilisation rate from fertilising sugarbeet wheat NH3.nc: ammonia emission and volatilisation rate from fertilising whea
SUPERSEDED - Data supporting the manuscript "A climate-dependent global model of ammonia emissions from chicken farming"
No full text## SUPERSEDED - This item has been replaced by the one which can be found at https://doi.org/10.7488/ds/2936 ##. This dataset contains files of ammonia emissions from global chicken agriculture, from chicken housing to land spreading of chicken manure. All files are in netCDF format and can be easily read and processed by Python packages, e.g. Xarray or netCDF4. More details can be read from the files. Please note that these files are to support the manuscript submitted to the Journal Biogeosciences, and may be edited under peer-review processes. Any inquiries go to [email protected]
Broiler_file.nc: ammonia emission and volatilisation rate from broiler housing
Layer_file.nc: ammonia emission and volatilisation rate from layer housing
bc_file.nc: ammonia emission and volatilisation rate from backyard chicken
barley NH3.nc: ammonia emission and volatilisation rate from fertilising barley
maize NH3.nc: ammonia emission and volatilisation rate from fertilising maize
potato NH3.nc: ammonia emission and volatilisation rate from fertilising potato
rice NH3.nc: ammonia emission and volatilisation rate from fertilising rice
sugarbeet NH3.nc: ammonia emission and volatilisation rate from fertilising sugarbeet
wheat NH3.nc: ammonia emission and volatilisation rate from fertilising whea
Data supporting the manuscript "A dynamical process-based model AMmonia–CLIMate (AMCLIM) for quantifying global agricultural ammonia emissions – Part 1: Land module for simulating emissions from synthetic fertilizer use"
No full textAmmonia (NH3) emissions mainly originate from agricultural practices and can have multiple adverse impacts on the environment. With the substantial increase of synthetic fertilizer use over the past decades, volatilization of NH3 has become a major loss of N applied to land. Since NH3 can be strongly influenced by both environmental conditions and local management practices, a better estimate of NH3 emissions from fertilizer use requires improved understanding of the relevant processes. This study describes a new process-based model, AMmonia–CLIMate (AMCLIM), for quantifying agricultural NH3 emissions. More specifically, the present paper focuses on the development of a module (AMCLIM–Land) that is used for simulating NH3 emissions from synthetic fertilizer use. (Other modules, together termed as AMCLIM-Livestock, simulate NH3 emissions from agricultural livestock, are described in Part 2). AMCLIM–Land dynamically models the evolution of N species in soils by incorporating the effects of both environmental factors and management practices to determine the NH3 emissions released from the land to the atmosphere. Based on simulations for 2010, NH3 emissions resulting from the synthetic fertilizer use are estimated at 15.0 Tg N yr-1, accounting for around 17 % of applied fertilizer N.
This dataset contains netCDF (.nc) files of ammonia emissions from global synthetic fertilizer use, simulated by the AMmonia-CLIMate (AMCLIM) model
Data supporting the manuscript "A dynamical process-based model for quantifying global agricultural ammonia emissions – AMmonia–CLIMate v1.0 (AMCLIM v1.0) – Part 2: livestock farming"
No full textAgricultural ammonia (NH3) emissions are a major pathway of nitrogen loss, which can have significant environmental consequences, such as air and water pollution, ecosystem damage and biodiversity loss. Ammonia emissions related to livestock farming are major sources in the agricultural sector, resulting from animal housing, manure management and land application. This paper is the second part of the description of the AMmonia–CLIMate (AMCLIM) model, presenting the development and application of all three main modules to estimate NH3 emissions from livestock, including pigs, poultry (chicken), cattle, sheep and goats. The AMCLIM model simulates the flows of N species at different stages comprised in livestock agriculture. It incorporates the effects of environmental factors and also provides an adequate level of detail for the representations of human management practices. According to simulations by AMCLIM, it is estimated that NH3 emissions from global livestock farming are about 29.9 Tg N yr-1, accounting for around 30 % of total excreted nitrogen. Cattle and buffaloes systems are estimated to be the largest sources of NH3 emissions, contributing over 60 % of total livestock emissions. Both pigs and poultry systems result in more than 15 % of estimated total emissions, while sheep and goats are responsible for the remaining 7 %. High volatilization rates frequently occur in hot regions, indicating the climate-dependence of NH3 volatilization. It is also shown how AMCLIM can simulate the influence of management practices on NH3 volatilization, e.g., illustrating how fully-enclosed animal houses with heating and forced ventilation can result in higher emissions than naturally ventilated barns, while poorly managed manure leads to much more NH3 emissions
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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