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Number-of-Cited-References = {{59}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{18}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{FU4IO}},
Unique-ID = {{ISI:000423816900011}},
DA = {{2020-08-06}},
}

@article{ ISI:000423009500060,
Author = {Sun, Chuanwang and Ma, Tiemeng and Xu, Meilian},
Title = {{Exploring the prospects of cooperation in the manufacturing industries
   between India and China: A perspective of embodied energy in India-China
   trade}},
Journal = {{ENERGY POLICY}},
Year = {{2018}},
Volume = {{113}},
Pages = {{643-650}},
Month = {{FEB}},
Abstract = {{Manufacturing reforms are facing energy constraint in both India and
   China. In this paper, an international input-output analysis (IOA) was
   applied and several expanding-descriptive indicators were chosen to
   measure the energy transformation embodied in India-China manufacturing
   trade from 1996 to 2011. Furthermore, the main driving factors of the
   change in embodied energy were examined by structural decomposition
   analysis (SDA). The results showed that the total energy use in
   bilateral trade and net embodied energy imports in India's manufacturing
   increased by about 11 times and 40 times, respectively. Energy terms of
   trade in India's manufacturing appeared in an ``M{''} shape with a
   deteriorating tendency, which indicated that India's manufacturing
   gradually lost its advantage of energy conservation exchanged by trade
   deficit. The major manufactures, which had lower trade profits and
   larger energy demands, were of light industries in India but were of
   heavy industries in China. Scale effect was the strongest driving factor
   for the increase of the embodied energy. Technique effect had the
   greatest negative effect and could offset the increase in embodied
   energy by about 13.18-54.49\%. According to our research, it could be
   concluded that energy cooperation is necessary and has a wide prospect
   for India and China.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Xu, ML (Corresponding Author), Xiamen Univ, Sch Econ, Deparanent Int Econ \& Business, Xiamen 361005, Peoples R China.
   Sun, Chuanwang; Ma, Tiemeng, Xiamen Univ, Sch Econ, China Ctr Energy Econ Res, Xiamen 361005, Fujian, Peoples R China.
   Sun, Chuanwang; Xu, Meilian, Xiamen Univ, Sch Econ, Deparanent Int Econ \& Business, Xiamen 361005, Peoples R China.}},
DOI = {{10.1016/j.enpol.2017.11.055}},
ISSN = {{0301-4215}},
EISSN = {{1873-6777}},
Keywords = {{India-China manufacturing trade; Embodied energy; IOA; SDA}},
Keywords-Plus = {{DECOMPOSITION ANALYSIS; INTERNATIONAL-TRADE; CO2 EMISSIONS; INPUT; LMDI}},
Research-Areas = {{Business \& Economics; Energy \& Fuels; Environmental Sciences \&
   Ecology}},
Web-of-Science-Categories  = {{Economics; Energy \& Fuels; Environmental Sciences; Environmental
   Studies}},
Author-Email = {{mlxu@xmu.edu.cn}},
Funding-Acknowledgement = {{National Natural Science Foundation of ChinaNational Natural Science
   Foundation of China {[}71673230, 71303199, 71373218]; Fundamental
   Research Funds for the Central UniversitiesFundamental Research Funds
   for the Central Universities {[}20720171001, 20720151026, 20720151039];
   Major Program of the National Social Science Foundation of China
   {[}13ZD167]}},
Funding-Text = {{We would like to express our sincere gratitude to the editor and
   anonymous referees for their insightful and constructive comments. This
   work is funded by the National Natural Science Foundation of China
   (Funding No.71673230, 71303199 and 71373218), the Fundamental Research
   Funds for the Central Universities (Funding No.20720171001, 20720151026
   and 20720151039), and the Major Program of the National Social Science
   Foundation of China (Funding No. 13\&ZD167). We would especially like to
   thank the experts who participated in the evaluation and improvement of
   this manuscript.}},
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Number-of-Cited-References = {{28}},
Times-Cited = {{18}},
Usage-Count-Last-180-days = {{4}},
Usage-Count-Since-2013 = {{43}},
Journal-ISO = {{Energy Policy}},
Doc-Delivery-Number = {{FT2XO}},
Unique-ID = {{ISI:000423009500060}},
DA = {{2020-08-06}},
}

@article{ ISI:000419900600009,
Author = {Khalyavkin, Alexander V. and Krut'ko, Vyacheslav N.},
Title = {{How regularities of mortality statistics explain why we age despite
   having potentially ageless somatic stem cells}},
Journal = {{BIOGERONTOLOGY}},
Year = {{2018}},
Volume = {{19}},
Number = {{1}},
Pages = {{101-108}},
Month = {{FEB}},
Abstract = {{Researchers working in the area of ageing have found numerous
   manifestations of this process at the molecular biological level,
   including DNA and protein damage, accumulation of metabolic by-products,
   lipids peroxidation, macromolecular cross-linking, non-enzymatic
   glycosylation, anti-oxidant/pro-oxidant misbalance, rising of
   pro-inflammatory cytokines, etc. This results in an increase in the
   proportion of cells in growth arrest, reduction of the rate of
   information processing, metabolic rate decrease, and decrease in rates
   of other processes characterizing dynamic aspects of the organism's
   interaction with its environment. Such staggering multilevel diversity
   in manifestation of senescence precludes (without methodology of systems
   biology) development of a correct understanding of its primary causes
   and does not allow for developing approaches capable of postponing
   ageing or reducing organisms' ageing rate to attain health preservation.
   Moreover, it turns out that damage production and damage elimination
   processes, the misbalance of which results in the ageing process, can to
   a large extent be regulated by external signals. The purpose of this
   report is to provide evidence supporting this view and its compatibility
   with the regularities of mortality statistics, because the main idea is
   very simple. Even potentially a non-senescent but certainly not immortal
   body must start to age under inadequate conditions (like a non-melting
   piece of ice taken out from the deepfreeze inevitably start to melt at
   the temperatures above zero Celsius). This conclusion is totally
   consistent with existing patterns of mortality and with agelessness
   potential of somatic stem cells. Therefore, there is no need to build up
   and explore too complicated, computational and sophisticated systems
   models of intrinsic ageing to understand the origin of this mainly
   extrinsic root cause of natural ageing, which is controlled by
   environmental signals. In our case, a simple phenomenological black-box
   approach with Input-Output analysis is ample. Here Input refers to the
   environmentally dependent initial force of mortality, whereas Output is
   a rate of age-related increase of mortality force.}},
Publisher = {{SPRINGER}},
Address = {{ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES}},
Type = {{Editorial Material}},
Language = {{English}},
Affiliation = {{Khalyavkin, AV (Corresponding Author), RAS, Emanuel Inst Biochem Phys, 4 Kosygin St, Moscow 119334, Russia.
   Khalyavkin, AV (Corresponding Author), Russian Acad Sci, Fed Res Ctr Comp Sci \& Control, 44-2 Vavilov St, Moscow 119333, Russia.
   Khalyavkin, Alexander V., RAS, Emanuel Inst Biochem Phys, 4 Kosygin St, Moscow 119334, Russia.
   Khalyavkin, Alexander V.; Krut'ko, Vyacheslav N., Russian Acad Sci, Fed Res Ctr Comp Sci \& Control, 44-2 Vavilov St, Moscow 119333, Russia.
   Krut'ko, Vyacheslav N., Sechenov First Moscow State Med Univ, 2-4 Bolshaya Pirogovskaya St, Moscow 119991, Russia.}},
DOI = {{10.1007/s10522-017-9728-2}},
ISSN = {{1389-5729}},
EISSN = {{1573-6768}},
Keywords = {{Ageing plasticity; Systems as units; Reversibility of senescence;
   External conditions; Mortality patterns; Adequate signalling; Origin of
   ageing; Environmental influences}},
Keywords-Plus = {{REPLICATIVE SENESCENCE; CALORIC RESTRICTION; LIFE-SPAN;
   MITOCHONDRIAL-DNA; PROGENITOR CELLS; SYSTEMS BIOLOGY; RAT;
   IMMORTALIZATION; PROLIFERATION; REJUVENATION}},
Research-Areas = {{Geriatrics \& Gerontology}},
Web-of-Science-Categories  = {{Geriatrics \& Gerontology}},
Author-Email = {{antisenesc@mail.ru}},
ORCID-Numbers = {{Krut'ko, Vyacheslav/0000-0002-2779-8775}},
Funding-Acknowledgement = {{Ministry of Education and Science of the Russian FederationMinistry of
   Education and Science, Russian Federation {[}14.607.21.0123,
   RFMEFI60715X0123]}},
Funding-Text = {{The reported study was funded by Ministry of Education and Science of
   the Russian Federation according to the research project
   \#14.607.21.0123 (Unique Project Identifier RFMEFI60715X0123).}},
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Number-of-Cited-References = {{71}},
Times-Cited = {{1}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{9}},
Journal-ISO = {{Biogerontology}},
Doc-Delivery-Number = {{FS6IH}},
Unique-ID = {{ISI:000419900600009}},
DA = {{2020-08-06}},
}

@article{ ISI:000423728800039,
Author = {Zhang, Wei and Villarini, Gabriele},
Title = {{Uncovering the role of the East Asian jet stream and heterogeneities in
   atmospheric rivers affecting the western United States}},
Journal = {{PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
   AMERICA}},
Year = {{2018}},
Volume = {{115}},
Number = {{5}},
Pages = {{891-896}},
Month = {{JAN 30}},
Abstract = {{Atmospheric rivers (ARs) exert major socioeconomic repercussions along
   the US West Coast by inducing heavy rainfall, flooding, strong winds,
   and storm surge. Despite the significant societal and economic
   repercussions of these storms, our understanding of the physical drivers
   responsible for their interannual variability is limited, with different
   climate modes identified as possible mechanisms. Here we show that the
   Pacific-Japan (PJ) teleconnections/patterns and the East Asian
   subtropical jet (EASJ) exhibit a strong linkage with the total frequency
   of ARs making landfall over the western United States, much stronger
   than the other potential climate modes previously considered. While our
   findings indicate that the PJ pattern and EASJ are the most relevant
   climate modes driving the overall AR activity, we also uncover
   heterogeneities in AR tracks. Specifically, we show that not all ARs
   making landfall along the West Coast come from a single population, but
   rather that it is possible to stratify these storms into three clusters.
   While the PJ pattern and EASJ are major drivers of AR activity for two
   clusters, the cluster that primarily affects the US Southwest is largely
   driven by other climate modes {[}El Nino Southern Oscillation (ENSO),
   the Atlantic meridional mode (AMM), the Pacific-North America (PNA)
   teleconnection pattern, and the North Pacific Gyre Oscillation (NPGO)].
   Therefore, important regional differences exist and this information can
   substantially enhance our ability to predict and prepare for these
   storms and their impacts.}},
Publisher = {{NATL ACAD SCIENCES}},
Address = {{2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Zhang, W (Corresponding Author), Univ Iowa, IIHR Hydrosci \& Engn, Iowa City, IA 52242 USA.
   Zhang, Wei; Villarini, Gabriele, Univ Iowa, IIHR Hydrosci \& Engn, Iowa City, IA 52242 USA.}},
DOI = {{10.1073/pnas.1717883115}},
ISSN = {{0027-8424}},
Keywords = {{atmospheric rivers; US West Coast; cluster analysis; Pacific-Japan
   teleconnections; East Asian subtropical jet}},
Keywords-Plus = {{PACIFIC; PRECIPITATION; COAST; VARIABILITY; CLIMATE; JAPAN; SIMULATIONS;
   CIRCULATION; REANALYSIS; CALIFORNIA}},
Research-Areas = {{Science \& Technology - Other Topics}},
Web-of-Science-Categories  = {{Multidisciplinary Sciences}},
Author-Email = {{wei-zhang-3@uiowa.edu}},
ResearcherID-Numbers = {{Zhang, Wei/J-3155-2019
   Zhang, Wei/L-5743-2015
   Villarini, Gabriele/F-8069-2016}},
ORCID-Numbers = {{Zhang, Wei/0000-0001-8134-6908
   Zhang, Wei/0000-0001-8134-6908
   Villarini, Gabriele/0000-0001-9566-2370}},
Funding-Acknowledgement = {{National Science Foundation under CAREERNational Science Foundation
   (NSF) {[}AGS-1349827]; IIHR-Hydroscience Engineering}},
Funding-Text = {{Useful comments by R. Denniston (Cornell College) and N. Barth
   (University of Iowa) are gratefully acknowledged. This material is based
   upon work supported by the National Science Foundation under CAREER
   Grant AGS-1349827 and IIHR-Hydroscience \& Engineering.}},
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Number-of-Cited-References = {{41}},
Times-Cited = {{10}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{11}},
Journal-ISO = {{Proc. Natl. Acad. Sci. U. S. A.}},
Doc-Delivery-Number = {{FU3CZ}},
Unique-ID = {{ISI:000423728800039}},
OA = {{Green Published, Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000425514300048,
Author = {Lee, Sang-Ki and Lopez, Hosmay and Chung, Eui-Seok and DiNezio, Pedro
   and Yeh, Sang-Wook and Wittenberg, Andrew T.},
Title = {{On the Fragile Relationship Between El Nino and California Rainfall}},
Journal = {{GEOPHYSICAL RESEARCH LETTERS}},
Year = {{2018}},
Volume = {{45}},
Number = {{2}},
Pages = {{907-915}},
Month = {{JAN 28}},
Abstract = {{The failed influence of the 2015-2016 El Nino on California rainfall has
   renewed interest in the relationship between El Nino and U.S. rainfall
   variability. Here we perform statistical data analyses and simple model
   experiments to show that sufficiently warm and persistent sea surface
   temperature anomalies (SSTAs) in the far eastern equatorial Pacific are
   required to excite an anomalous cyclone in the North Pacific that
   extends to the east across the U.S. West Coast and thus increases
   rainfall over California. Among the four most frequently recurring El
   Nino patterns considered in this study, only the persistent El Nino,
   which is often characterized by the warm SSTAs in the far eastern
   equatorial Pacific persisting throughout the winter and spring, is
   linked to such extratropical teleconnection patterns and significantly
   increased rainfall over the entire state of California. During the last
   69 years, only three of the 25 El Nino events (i.e., 1957-1958,
   1982-1983, and 1997-1998) are clearly identified as the persistent El
   Nino. In addition, the monthly rainfall variance explained by El Nino is
   less than half that caused by internal variability during the 25 El
   Nino. Therefore, the rarity of persistent El Nino events combined with
   the large influence of internal variability effectively explains the
   fragile relationship between El Nino and California rainfall.}},
Publisher = {{AMER GEOPHYSICAL UNION}},
Address = {{2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Lee, SK (Corresponding Author), NOAA, Atlantic Oceanog \& Meteorol Lab, Miami, FL 33149 USA.
   Lee, Sang-Ki; Lopez, Hosmay, NOAA, Atlantic Oceanog \& Meteorol Lab, Miami, FL 33149 USA.
   Lopez, Hosmay, Univ Miami, Cooperat Inst Marine \& Atmospher Studies, Miami, FL USA.
   Chung, Eui-Seok, Univ Miami, Rosenstiel Sch Marine \& Atmospher Sci, 4600 Rickenbacker Causeway, Miami, FL 33149 USA.
   DiNezio, Pedro, Univ Texas Austin, Inst Geophys, Austin, TX USA.
   Yeh, Sang-Wook, Hanyang Univ, Dept Marine Sci \& Convergent Technol, Ansan, South Korea.
   Wittenberg, Andrew T., NOAA, Geophys Fluid Dynam Lab, Princeton, NJ USA.}},
DOI = {{10.1002/2017GL076197}},
ISSN = {{0094-8276}},
EISSN = {{1944-8007}},
Keywords = {{El Nino; California rainfall; ENSO flavor; teleconnection; stationary
   Rossby wave; 2015-2016 El Nino}},
Keywords-Plus = {{ATMOSPHERIC CIRCULATION; PRECIPITATION DEFICITS; UNITED-STATES; ENSO;
   TEMPERATURE; PERSPECTIVE; ANOMALIES; FORECASTS; NCEP/NCAR; IMPACTS}},
Research-Areas = {{Geology}},
Web-of-Science-Categories  = {{Geosciences, Multidisciplinary}},
Author-Email = {{sang-ki.lee@noaa.gov}},
ResearcherID-Numbers = {{Lopez, Hosmay/M-3278-2015
   Lee, Sang-Ki/A-5703-2011
   Wittenberg, Andrew T/G-9619-2013
   Yeh, Sang-Wook/G-3007-2014
   Lopez, Hosmay/AAT-6179-2020}},
ORCID-Numbers = {{Lopez, Hosmay/0000-0002-8422-8699
   Lee, Sang-Ki/0000-0002-4047-3545
   Wittenberg, Andrew T/0000-0003-1680-8963
   Yeh, Sang-Wook/0000-0003-4549-1686
   Lopez, Hosmay/0000-0002-8422-8699}},
Funding-Acknowledgement = {{NOAA Climate Program Office through its CVP program {[}GC16-207]; NOAA
   AOMLNational Oceanic Atmospheric Admin (NOAA) - USA}},
Funding-Text = {{We would like to sincerely thank two anonymous reviewers for their
   thorough reviews and thoughtful comments and suggestions, which led to a
   significant improvement of the paper. This work was supported by NOAA
   Climate Program Office through its CVP program (GC16-207) and NOAA AOML.
   The CPC unified gauge-based analysis of the US daily precipitation,
   CMAP, ERSST5, and NCEP-NCAR reanalysis were provided by NOAA/ESRL/PSD at
   http://www.esrl.noaa.gov/psd. The statewide California rainfall is
   computed based on the Global Historical Climatology Network gridded land
   precipitation provided by the National Centers for Environmental
   Information at https://www.ncdc.noaa.gov.}},
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Number-of-Cited-References = {{31}},
Times-Cited = {{23}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{10}},
Journal-ISO = {{Geophys. Res. Lett.}},
Doc-Delivery-Number = {{FW7OV}},
Unique-ID = {{ISI:000425514300048}},
OA = {{Bronze}},
DA = {{2020-08-06}},
}

@article{ ISI:000423001900115,
Author = {Crawford, Robert H. and Bontinck, Paul-Antoine and Stephan, Andre and
   Wiedmann, Thomas and Yu, Man},
Title = {{Hybrid life cycle inventory methods - A review}},
Journal = {{JOURNAL OF CLEANER PRODUCTION}},
Year = {{2018}},
Volume = {{172}},
Pages = {{1273-1288}},
Month = {{JAN 20}},
Abstract = {{A variety of methods can be used to compile a life cycle inventory (LCI)
   as part of a life cycle assessment (LCA) study. Hybrid LCI methods
   attempt to address the limitations inherent in more traditional process
   and input-output (ID) LCI methods. This paper provides an overview of
   the different hybrid LCI methods currently in use in an attempt to
   provide greater clarity around how each method is applied and their
   specific strengths and weaknesses. A search of publications quoting the
   use of hybrid LCI was undertaken for the period from 2010 to 2015,
   identifying 97 peer-reviewed publications referencing the use of a
   hybrid LCI. In over one third of the literature analysed, authors only
   refer to their analysis as a hybrid LCI, without naming the actual
   method used, making it difficult to fully understand which method was
   used and any potential limitations. Based on the way in which the
   various hybrid methods are applied and their existing use, the authors
   propose a set of clear definitions for existing hybrid LCI methods. This
   assists in creating a better understanding of, and confidence in,
   applying hybrid LCI methods amongst LCA practitioners, potentially
   leading to a greater uptake of hybrid LCI. (C) 2017 Elsevier Ltd. All
   rights reserved.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Review}},
Language = {{English}},
Affiliation = {{Crawford, RH (Corresponding Author), Univ Melbourne, Fac Architecture Bldg \& Planning, Parkville, Vic 3010, Australia.
   Crawford, Robert H.; Bontinck, Paul-Antoine; Stephan, Andre, Univ Melbourne, Fac Architecture Bldg \& Planning, Parkville, Vic 3010, Australia.
   Wiedmann, Thomas; Yu, Man, UNSW Sydney, Sch Civil \& Environm Engn, Sydney, NSW 2052, Australia.}},
DOI = {{10.1016/j.jclepro.2017.10.176}},
ISSN = {{0959-6526}},
EISSN = {{1879-1786}},
Keywords = {{Life cycle assessment; Life cycle inventory analysis; Input-output
   analysis; Process analysis; Hybrid analysis}},
Keywords-Plus = {{INPUT-OUTPUT-ANALYSIS; CARBON FOOTPRINT ANALYSIS; EMBODIED ENERGY;
   ENVIRONMENTAL IMPACTS; CO2 EMISSIONS; WATER NEXUS; WIND POWER; LCA
   MODEL; SCENARIOS; SYSTEM}},
Research-Areas = {{Science \& Technology - Other Topics; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Engineering, Environmental;
   Environmental Sciences}},
Author-Email = {{rhcr@unimelb.edu.au}},
ResearcherID-Numbers = {{Crawford, Robert/N-7428-2019
   Wiedmann, Thomas/C-9158-2011
   Crawford, Robert/C-4547-2016
   }},
ORCID-Numbers = {{Crawford, Robert/0000-0002-0189-3221
   Wiedmann, Thomas/0000-0002-6395-8887
   Crawford, Robert/0000-0002-0189-3221
   Bontinck, Paul-Antoine/0000-0002-4072-1334}},
Funding-Acknowledgement = {{Australian Research CouncilAustralian Research Council {[}DP150100962]}},
Funding-Text = {{This research was supported by the Australian Research Council's
   Discovery Projects funding scheme (project number DP150100962).}},
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Number-of-Cited-References = {{145}},
Times-Cited = {{54}},
Usage-Count-Last-180-days = {{8}},
Usage-Count-Since-2013 = {{52}},
Journal-ISO = {{J. Clean Prod.}},
Doc-Delivery-Number = {{FT2UQ}},
Unique-ID = {{ISI:000423001900115}},
ESI-Highly-Cited-Paper = {{Y}},
ESI-Hot-Paper = {{N}},
DA = {{2020-08-06}},
}

@article{ ISI:000423002200068,
Author = {Tedone, Luigi and Ali, Salem Alhajj and Verdini, Leonardo and De Mastro,
   Giuseppe},
Title = {{Nitrogen management strategy for optimizing agronomic and environmental
   performance of rainfed durum wheat under Mediterranean climate}},
Journal = {{JOURNAL OF CLEANER PRODUCTION}},
Year = {{2018}},
Volume = {{172}},
Pages = {{2058-2074}},
Month = {{JAN 20}},
Abstract = {{Efficient nitrogen (N) fertilizer management is critical for wheat
   production and the long-term protection of the environment. Given the
   importance of durum wheat for the Italian economy, its environmental
   implications need to be investigated for designing sustainable
   production system. Three concurrent experiments were carried out in
   Gravina in Puglia (Apulia, southern Italy) to investigate the agronomic
   and environmental response of rainfed durum wheat (Triticum turgidum L.,
   var. durum) to different N rates, N source and application time over
   three years (2010-2012). In the three experiments, the following
   parameters were analyzed: grain yield, yield components (i.e. harvest
   index, spikes m(-2)), quality traits (i.e. hectoliter weight, protein
   content), energy input/output analysis including the calculation of
   energy indexes and greenhouse gas (GHG) emissions. The N rate experiment
   included rates of 45, 90 and 135 kg N ha(-1). Each rate was split in
   various proportions between sowing, tillering and stem elongation. For
   the experiment on N timing and splitting, a single dose of 90 kg N
   ha(-1) was split between sowing, tillering and stem elongation at
   different fractions (0-90-0; 40-50-0; 10-40-40). The N fertilizer source
   experiment tested the effect of the application of 90 kg N ha(-1) of
   urea split at sowing and tillering (12-78-0) on the investigated
   parameters, and compared to Entec (R) 26 and Sulfammo 23 with the same
   does and application time. Nitrogen agronomic efficiency (NAE) was also
   calculated to assess the potential yield increase in response to
   different N fertilizer rates and types. The results showed that N rate,
   N source and the application time had a significant impact on grain
   yield, grain protein content, energy output and GHG emissions under
   normal weather conditions. Considering the site-specific condition, the
   overall results revealed that the split application of 90 kg N ha(-1)
   during three growth stages gave favorable results in terms of grain
   yield and quality, and optimizes NAE with less environmental impact. The
   effectiveness and efficiency of this strategy was more pronounced when
   two-third of the full N dose was applied at later stages (tillering and
   stem elongation). This strategy found to be more effective in improving
   wheat yield and quality than the increase in the N rate, which could
   offer the potential to decrease N fertilization rate in wheat
   production. This study provides useful information for farmers on how to
   manage the N fertilization of wheat for sustainable production system.
   (C) 2017 Elsevier Ltd. All rights reserved.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Ali, SA (Corresponding Author), Univ Bari, Dept Agr \& Environm Sci, Via Amendola 165-A, I-70126 Bari, Italy.
   Tedone, Luigi; Ali, Salem Alhajj; Verdini, Leonardo; De Mastro, Giuseppe, Univ Bari, Dept Agr \& Environm Sci, Via Amendola 165-A, I-70126 Bari, Italy.}},
DOI = {{10.1016/j.jclepro.2017.11.215}},
ISSN = {{0959-6526}},
EISSN = {{1879-1786}},
Keywords = {{Triticum turgidum; Grain quality; N fertilizer rates; Split application;
   GHG emissions; Energy indexes}},
Keywords-Plus = {{GREENHOUSE-GAS EMISSIONS; OXIDE EMISSIONS; WINTER-WHEAT; CARBON
   FOOTPRINT; CROP PRODUCTION; USE EFFICIENCY; ENERGY-CONSUMPTION; TILLAGE
   SYSTEMS; GRAIN QUALITY; N2O EMISSIONS}},
Research-Areas = {{Science \& Technology - Other Topics; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Engineering, Environmental;
   Environmental Sciences}},
Author-Email = {{salem\_grb@yahoo.com}},
ORCID-Numbers = {{ALHAJJ ALI, SALEM/0000-0002-6694-6312}},
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Number-of-Cited-References = {{71}},
Times-Cited = {{12}},
Usage-Count-Last-180-days = {{4}},
Usage-Count-Since-2013 = {{31}},
Journal-ISO = {{J. Clean Prod.}},
Doc-Delivery-Number = {{FT2UT}},
Unique-ID = {{ISI:000423002200068}},
DA = {{2020-08-06}},
}

@article{ ISI:000423001900019,
Author = {Bjelle, Eivind Lekve and Steen-Olsen, Kjartan and Wood, Richard},
Title = {{Climate change mitigation potential of Norwegian households and the
   rebound effect}},
Journal = {{JOURNAL OF CLEANER PRODUCTION}},
Year = {{2018}},
Volume = {{172}},
Pages = {{208-217}},
Month = {{JAN 20}},
Abstract = {{An increasing number of studies show that efficiency improvements alone
   will not be sufficient to attain the substantial emission reductions
   needed to mitigate global warming to a target of 2 degrees C.
   Consumption side changes are likely to be needed to achieve sufficient
   emission reductions. The United Nations emphasize the importance of
   developed countries taking the lead in lowering emissions to achieve the
   sustainable development goals. This paper assess to what extent
   Norwegian households can lower their carbon footprint consistent with
   territorial emission reductions towards the 2 degrees C target of global
   warming through implementing a set of behavioral actions. We evaluate
   the efficacy of the set of actions both initially and after considering
   rebound effects. A multiregional environmentally extended input-output
   database is linked with the Norwegian consumer expenditure survey to
   analyze both average and marginal expenditure per unit of increased
   income. Further, linear programming is applied to examine the changes
   needed by households to reach different emission reduction targets. We
   find that households implementing the full set of actions without
   re-spending can obtain a 58\% decrease in their carbon footprint. When
   accounting for the effect of re-spending, this reduction drops to
   24-35\%, which is not within the requirements of the 2 degrees C target.
   The optimization analysis suggests households can achieve reductions up
   to 45\% by restricting re-spending to specific goods and services. This
   indicates that curbing the rebound effect is key to achieving real
   reductions in household carbon footprints. We show that changing
   consumption patterns can significantly contribute to lowering
   anthropogenic greenhouse gas emissions without compromising the level of
   economic activity. (C) 2017 The Authors. Published by Elsevier Ltd.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Bjelle, EL (Corresponding Author), Norwegian Univ Sci \& Technol, Dept Energy \& Proc Engn, Ind Ecol Programme, N-7491 Trondheim, Norway.
   Bjelle, Eivind Lekve; Steen-Olsen, Kjartan; Wood, Richard, Norwegian Univ Sci \& Technol, Dept Energy \& Proc Engn, Ind Ecol Programme, N-7491 Trondheim, Norway.}},
DOI = {{10.1016/j.jclepro.2017.10.089}},
ISSN = {{0959-6526}},
EISSN = {{1879-1786}},
Keywords = {{Rebound effect; Carbon footprint; 2 degrees C target; Input-output
   analysis; Re-spending; Sustainable lifestyles}},
Keywords-Plus = {{SUSTAINABLE CONSUMPTION; CARBON; CONSUMERS; POLICY}},
Research-Areas = {{Science \& Technology - Other Topics; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Engineering, Environmental;
   Environmental Sciences}},
Author-Email = {{eivind.bjelle@ntnu.no}},
ResearcherID-Numbers = {{Wood, Richard/E-4111-2015}},
ORCID-Numbers = {{Wood, Richard/0000-0002-7906-3324}},
Funding-Acknowledgement = {{Norwegian Research Council: Peoples Climate Research: The Contribution
   of Households to Climate Change Mitigation {[}235462]; European
   Community's Seventh Framework ProgrammeEuropean Union (EU) {[}613420]}},
Funding-Text = {{This work was partially supported by the Norwegian Research Council:
   Peoples Climate Research: The Contribution of Households to Climate
   Change Mitigation, {[}grant number 235462]; the European Community's
   Seventh Framework Programme (FP7/2007-2013) {[}grant number 613420].}},
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Number-of-Cited-References = {{49}},
Times-Cited = {{16}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{11}},
Journal-ISO = {{J. Clean Prod.}},
Doc-Delivery-Number = {{FT2UQ}},
Unique-ID = {{ISI:000423001900019}},
OA = {{Other Gold, Green Accepted}},
DA = {{2020-08-06}},
}

@article{ ISI:000423001900027,
Author = {Chen, Guangwu and Hadjikakou, Michalis and Wiedmann, Thomas and Shi, Lei},
Title = {{Global warming impact of suburbanization: The case of Sydney}},
Journal = {{JOURNAL OF CLEANER PRODUCTION}},
Year = {{2018}},
Volume = {{172}},
Pages = {{287-301}},
Month = {{JAN 20}},
Abstract = {{Suburbs have naturally become a focal point of carbon mitigation for
   cities undergoing rapid suburbanization. This has created a debate over
   which urban form can more effectively lead to lower household carbon
   footprints (CF). Previous suburban-scale studies using economic
   input-output life cycle assessment with national average carbon
   intensities have demonstrated the mitigation potentials in households
   via urban planning. However, there is a need for suburban-scale
   multiregional input-output (MRIO) tables to model suburb-specific carbon
   intensities and thus to account for the heterogeneity of both production
   and consumption in different suburbs. This study explores the case of
   Sydney, Australia, and its many suburbs. The CF of households is broken
   down into 111 sectors and 248 spatial divisions of Greater Sydney by
   employing a suburban-scale MRIO model. The impact of domestic and
   overseas migration on household CFs is modelled during 2009-2010, and
   the CFs are allocated to different ethnic groups. The results suggest
   that residents in the densely populated city core have a comparable CF
   to residents living in outer city suburbs, thus contradicting previous
   studies supporting the notion that densely populated inner-city areas
   yield relatively lower CFs. The rapid growth of population increases
   household CFs in inner western suburbs. According to the study findings,
   the ongoing Sydney metropolitan development plan may therefore not be
   sufficient to provide a sustainable carbon emissions reduction strategy,
   if suburb density is increased without any constraints on resident
   consumption patterns. Urban planners need to consider policies to direct
   the investment brought by immigration towards a lower-carbon economy and
   infrastructure and also may take advantage of the sharing economy to
   change consumption behaviour. (C) 2017 Elsevier Ltd. All rights
   reserved.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Chen, GW (Corresponding Author), UNSW Sydney, SAP, UNSW Water Res Ctr, Sch Civil \& Environm Engn, Sydney, NSW 2052, Australia.
   Shi, L (Corresponding Author), Tsinghua Univ, State Key Joint Lab Environm Simulat \& Pollut Con, Sch Environm, Beijing 100084, Peoples R China.
   Chen, Guangwu; Hadjikakou, Michalis; Wiedmann, Thomas, UNSW Sydney, SAP, UNSW Water Res Ctr, Sch Civil \& Environm Engn, Sydney, NSW 2052, Australia.
   Hadjikakou, Michalis, Deakin Univ, Sch Life \& Environm Sci, Ctr Integrat Ecol, Burwood, Vic 3125, Australia.
   Wiedmann, Thomas, Univ Sydney, ISA, Sch Phys A28, Sydney, NSW 2006, Australia.
   Shi, Lei, Tsinghua Univ, State Key Joint Lab Environm Simulat \& Pollut Con, Sch Environm, Beijing 100084, Peoples R China.}},
DOI = {{10.1016/j.jclepro.2017.10.161}},
ISSN = {{0959-6526}},
EISSN = {{1879-1786}},
Keywords = {{Suburbanization; Carbon footprint; ElO-LCA; City carbon map;
   Multi-region input-output modelling}},
Keywords-Plus = {{100-PERCENT RENEWABLE ELECTRICITY; GREENHOUSE-GAS EMISSIONS;
   INPUT-OUTPUT-ANALYSIS; CARBON FOOTPRINTS; URBAN FORM; FOOD-CONSUMPTION;
   GHG EMISSIONS; REGIONAL SIZE; CITY-SCALE; ENERGY}},
Research-Areas = {{Science \& Technology - Other Topics; Engineering; Environmental
   Sciences \& Ecology}},
Web-of-Science-Categories  = {{Green \& Sustainable Science \& Technology; Engineering, Environmental;
   Environmental Sciences}},
Author-Email = {{guangwu.chen@unsw.edu.au}},
ResearcherID-Numbers = {{Chen, Guangwu/Y-6560-2019
   Wiedmann, Thomas/C-9158-2011
   Hadjikakou, Michalis/F-1820-2014}},
ORCID-Numbers = {{Chen, Guangwu/0000-0003-2225-2711
   Wiedmann, Thomas/0000-0002-6395-8887
   Hadjikakou, Michalis/0000-0002-3667-3982}},
Funding-Acknowledgement = {{UNSW-Tsinghua Collaborative Research Fund; Australian Research
   CouncilAustralian Research Council {[}LE160100066]; China Scholarship
   Council (CSC)China Scholarship Council; UNSW Sydney; Australian
   Cooperative Research Centre for Low Carbon LivingAustralian
   GovernmentDepartment of Industry, Innovation and ScienceCooperative
   Research Centres (CRC) Programme {[}RP2007]; Australian Academy of
   Science through its W H Gladstones Population and Environment Fund;
   Tsinghua University Initiative Scientific Research Program
   {[}20121088096]}},
Funding-Text = {{This research is funded by the UNSW-Tsinghua Collaborative Research
   Fund, and was enabled by the Industrial Ecology Virtual Laboratory
   (IELab, www.ielab.info), which is supported by the Australian Research
   Council (grant number LE160100066). IELab datafeeds and routines written
   by Manfred Lenzen, Arne Geschke, Joe Lane and Hazel Rowley were
   utilised. The Mosaic dataset is provided by Experian. Guangwu Chen
   acknowledges a PhD scholarship jointly granted by the China Scholarship
   Council (CSC), UNSW Sydney and the Australian Cooperative Research
   Centre for Low Carbon Living (project code RP2007). Michalis Hadjikakou
   kindly acknowledges the support of the Australian Academy of Science
   through its 2015 W H Gladstones Population and Environment Fund. Lei Shi
   acknowledges the support of the Tsinghua University Initiative
   Scientific Research Program (No. 20121088096).}},
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