Keyword search (4,164 papers available)

"Sensitivity" Keyword-tagged Publications:

Title Authors PubMed ID
1 A longitudinal person-centered analysis of anxiety sensitivity risk for young adult alcohol misuse: Examining the role of injunctive norms Corran C; Morin AJS; Hendershot CS; O' Connor RM; 40667852
PSYCHOLOGY
2 Large scale laboratory evolution uncovers clinically relevant collateral antibiotic sensitivity Chowdhury FR; Banari V; Lesnic V; Zhanel GG; Findlay BL; 40615056
BIOLOGY
3 Toward cognitive models of misophonia Savard MA; Coffey EBJ; 39874936
PSYCHOLOGY
4 Young adult drinking during the COVID-19 pandemic: Examining the role of anxiety sensitivity, perceived stress, and drinking motives Corran C; Norman P; O' Connor RM; 39761074
PSYCHOLOGY
5 Assessment of urban greenhouse gas emissions towards reduction planning and low-carbon city: a case study of Montreal, Canada Shadnoush Pashaei 38638449
ENCS
6 A DiffeRential Evolution Adaptive Metropolis (DREAM)-based inverse model for continuous release source identification in river pollution incidents: Quantitative evaluation and sensitivity analysis Zhu Y; Cao H; Gao Z; Chen Z; 38309421
ENCS
7 Advancement in Biosensor Technologies of 2D MaterialIntegrated with Cellulose-Physical Properties Ramezani G; Stiharu I; van de Ven TGM; Nerguizian V; 38258201
ENCS
8 Development and performance assessment of a new opensource Bayesian inference R platform for building energy model calibration Hou D; Zhan D; Wang L; Hassan IG; Sezer N; 37936825
ENCS
9 Numerical-Experimental Analysis toward the Strain Rate Sensitivity of 3D-Printed Nylon Reinforced by Short Carbon Fiber Vanaei HR; Magri AE; Rastak MA; Vanaei S; Vaudreuil S; Tcharkhtchi A; 36556527
ENCS
10 We're building it up to burn it down: fire occurrence and fire-related climatic patterns in Brazilian biomes Diele Viegas LM; Sales L; Hipólito J; Amorim C; Johnson de Pereira E; Ferreira P; Folta C; Ferrante L; Fearnside P; Mendes Malhado AC; Frederico Duarte Rocha C; M Vale M; 36312759
BIOLOGY
11 Development of a DREAM-based inverse model for multi-point source identification in river pollution incidents: Model testing and uncertainty analysis Zhu Y; Chen Z; 36191500
ENCS
12 Specificity of Affective Responses in Misophonia Depends on Trigger Identification Savard MA; Sares AG; Coffey EBJ; Deroche MLD; 35692416
PSYCHOLOGY
13 Natural history and determinants of dysglycemia in Canadian children with parental obesity from ages 8-10 to 15-17 years: The QUALITY cohort Soren Harnois-Leblanc 35023257
PERFORM
14 External validation of a shortened screening tool using individual participant data meta-analysis: A case study of the Patient Health Questionnaire-Dep-4 Harel D; Levis B; Sun Y; Fischer F; Ioannidis JPA; Cuijpers P; Patten SB; Ziegelstein RC; Markham S; Benedetti A; Thombs BD; 34780986
CONCORDIA
15 Identification of point source emission in river pollution incidents based on Bayesian inference and genetic algorithm: Inverse modeling, sensitivity, and uncertainty analysis Zhu Y; Chen Z; Asif Z; 34380214
ENCS
16 Body Mass Index Z Score vs Weight-for-Length Z Score in Infancy and Cardiometabolic Outcomes at Age 8-10 Years Roberge JB; Harnois-Leblanc S; McNealis V; van Hulst A; Barnett TA; Kakinami L; Paradis G; Henderson M; 34302856
PERFORM
17 Assessing the coastal sensitivity to oil spills from the perspective of ecosystem services: A case study for Canada's pacific coast Feng Q; An C; Chen Z; Owens E; Niu H; Wang Z; 34271360
ENCS
18 Assessing the regional biogenic methanol emission from spring wheat during the growing season: A Canadian case study Cai M; An C; Guy C; Lu C; Mafakheri F; 34182392
ENCS
19 Assessment of regional greenhouse gas emission from beef cattle production: A case study of Saskatchewan in Canada. Chen Z, An C, Fang H, Zhang Y, Zhou Z, Zhou Y, Zhao S 32217321
ENCS
20 Influence of Head Tissue Conductivity Uncertainties on EEG Dipole Reconstruction. Vorwerk J, Aydin Ü, Wolters CH, Butson CR 31231178
PERFORM
21 Neurotensin in the nucleus accumbens reverses dopamine supersensitivity evoked by antipsychotic treatment. Servonnet A, Minogianis EA, Bouchard C, Bédard AM, Lévesque D, Rompré PP, Samaha AN 28522313
CSBN

 

Title:Assessment of regional greenhouse gas emission from beef cattle production: A case study of Saskatchewan in Canada.
Authors:Chen Z,  An C,  Fang H,  Zhang Y,  Zhou Z,  Zhou Y,  Zhao S
Link:https://www.ncbi.nlm.nih.gov/pubmed/32217321?dopt=Abstract
DOI:10.1016/j.jenvman.2020.110443
Publication:Journal of environmental management
Keywords:Beef cattle production;  Climate change;  Emission assessment;  Greenhouse gas;  Mitigation measures;  Sensitivity analysis; 
PMID:32217321 Category:J Environ Manage Date Added:2020-03-29
Dept Affiliation: ENCS
1 Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, H3G 1M8, Canada.
2 Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, H3G 1M8, Canada. Electronic address: chunjiang.an@concordia.ca.
3 Faculty of Engineering and Applied Science, University of Regina, Regina, S4S 0A2, Canada.
4 Water Science and Environmental Engineering Research Center, College of Chemical and Environmental Engineering, Shenzhen University, Shenzhen, 518060, China.
5 School of Environmental Science and Engineering, Shandong University, Qingdao, 266237, China.

Description:

Assessment of regional greenhouse gas emission from beef cattle production: A case study of Saskatchewan in Canada.

J Environ Manage. 2020 Mar 25;264:110443

Authors: Chen Z, An C, Fang H, Zhang Y, Zhou Z, Zhou Y, Zhao S

Abstract

The beef cattle production has been considered as one of the largest sources of greenhouse gases (GHGs) emission. A large amount of GHGs including N2O and CH4 from enteric fermentation and manure are discharged to atmosphere during beef-production process. In addition, a substantial amount of GHGs is also emitted from many other related processes such as feed production, transportation, and energy consumption. In this study, an emission assessment model was developed to quantify the amount of regional GHGs produced from the beef cattle production process. A case study was conducted based on the beef production in Saskatchewan, Canada. The results demonstrated that the GHG emissions from the annual marketed beef cattle in Saskatchewan in 2014 were 8.52 × 109 kg CO2-eq in total and the cattle-source GHGs (enteric CH4, manure CH4, and manure N2O emission) accounted for more than 90% of the total emission. Sensitivity analysis showed that the most critical factors influencing the GHG emission included feedlot manure handling system, cattle diet, feed additives, maximum methane producing capacity (Bo), and climate (temperature, precipitation, and potential evapotranspiration). The potential impacts of climate change on GHG emission from beef cattle production in Saskatchewan were also investigated. An overall decrease in the GHG emission can be observed due to the climate change, which are 3.67%, 4.96%, and 6.63% for 2020-2039, 2040-2059, and 2060-2099, respectively.

PMID: 32217321 [PubMed - as supplied by publisher]




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