A projection of ozone-induced wheat production loss in China and India for the years 2000 and 2020 with exposure-based and flux-based approaches

Using a high‐resolution (40 × 40 km) chemical transport model coupled with the Regional Emission inventory in Asia (REAS), we simulated surface ozone concentrations ([O3]) and evaluated O3‐induced wheat production loss in China and India for the years 2000 and 2020 using dose–response functions base...

Full description

Saved in:
Bibliographic Details
Published inGlobal change biology Vol. 19; no. 9; pp. 2739 - 2752
Main Authors Tang, Haoye, Takigawa, Masayuki, Liu, Gang, Zhu, Jianguo, Kobayashi, Kazuhiko
Format Journal Article
LanguageEnglish
Published Oxford Blackwell Publishing Ltd 01.09.2013
Wiley-Blackwell
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Using a high‐resolution (40 × 40 km) chemical transport model coupled with the Regional Emission inventory in Asia (REAS), we simulated surface ozone concentrations ([O3]) and evaluated O3‐induced wheat production loss in China and India for the years 2000 and 2020 using dose–response functions based on AOT40 (accumulated [O3] above 40 ppb) and PODY (phytotoxic O3 dose, accumulated stomatal flux of O3 above a threshold of Y nmol m−2 s−1). Two O3 dose metrics (90 days AOT40 and POD6) were derived from European experiments, and the other two (75 days AOT40 and POD12) were adapted from Asian studies. Relative yield loss (RYL) of wheat in 2000 was estimated to be 6.4–14.9% for China and 8.2–22.3% for India. POD6 predicted greater RYL, especially for the warm regions of India, whereas the 90 days AOT40 gave the lowest estimates. For the future projection, all the O3 dose metrics gave comparable estimates of an increase in RYL from 2000 to 2020 in the range 8.1–9.4% and 5.4–7.7% for China and India, respectively. The lower projected increase in RYL for India may be due to conservative estimation of the emission increase in 2020. Sensitivity tests of the model showed that the PODY‐based estimates of RYL are highly sensitive to perturbations in the meteorological inputs, but that the estimated increase in RYL from 2000 to 2020 is much more robust. The projected increase in wheat production loss in China and India in the near future is substantially larger than the uncertainties in the estimation and indicates an urgent need for curbing the rapid increase in surface [O3] in these regions.
AbstractList Using a high-resolution (40 × 40 km) chemical transport model coupled with the Regional Emission inventory in Asia (REAS), we simulated surface ozone concentrations ([O3 ]) and evaluated O3 -induced wheat production loss in China and India for the years 2000 and 2020 using dose-response functions based on AOT40 (accumulated [O3 ] above 40 ppb) and PODY (phytotoxic O3 dose, accumulated stomatal flux of O3 above a threshold of Y nmol m(-2) s(-1) ). Two O3 dose metrics (90 days AOT40 and POD6 ) were derived from European experiments, and the other two (75 days AOT40 and POD12 ) were adapted from Asian studies. Relative yield loss (RYL) of wheat in 2000 was estimated to be 6.4-14.9% for China and 8.2-22.3% for India. POD6 predicted greater RYL, especially for the warm regions of India, whereas the 90 days AOT40 gave the lowest estimates. For the future projection, all the O3 dose metrics gave comparable estimates of an increase in RYL from 2000 to 2020 in the range 8.1-9.4% and 5.4-7.7% for China and India, respectively. The lower projected increase in RYL for India may be due to conservative estimation of the emission increase in 2020. Sensitivity tests of the model showed that the PODY -based estimates of RYL are highly sensitive to perturbations in the meteorological inputs, but that the estimated increase in RYL from 2000 to 2020 is much more robust. The projected increase in wheat production loss in China and India in the near future is substantially larger than the uncertainties in the estimation and indicates an urgent need for curbing the rapid increase in surface [O3 ] in these regions.Using a high-resolution (40 × 40 km) chemical transport model coupled with the Regional Emission inventory in Asia (REAS), we simulated surface ozone concentrations ([O3 ]) and evaluated O3 -induced wheat production loss in China and India for the years 2000 and 2020 using dose-response functions based on AOT40 (accumulated [O3 ] above 40 ppb) and PODY (phytotoxic O3 dose, accumulated stomatal flux of O3 above a threshold of Y nmol m(-2) s(-1) ). Two O3 dose metrics (90 days AOT40 and POD6 ) were derived from European experiments, and the other two (75 days AOT40 and POD12 ) were adapted from Asian studies. Relative yield loss (RYL) of wheat in 2000 was estimated to be 6.4-14.9% for China and 8.2-22.3% for India. POD6 predicted greater RYL, especially for the warm regions of India, whereas the 90 days AOT40 gave the lowest estimates. For the future projection, all the O3 dose metrics gave comparable estimates of an increase in RYL from 2000 to 2020 in the range 8.1-9.4% and 5.4-7.7% for China and India, respectively. The lower projected increase in RYL for India may be due to conservative estimation of the emission increase in 2020. Sensitivity tests of the model showed that the PODY -based estimates of RYL are highly sensitive to perturbations in the meteorological inputs, but that the estimated increase in RYL from 2000 to 2020 is much more robust. The projected increase in wheat production loss in China and India in the near future is substantially larger than the uncertainties in the estimation and indicates an urgent need for curbing the rapid increase in surface [O3 ] in these regions.
Using a high-resolution (40 40 km) chemical transport model coupled with the Regional Emission inventory in Asia (REAS), we simulated surface ozone concentrations ([O sub(3)]) and evaluated O sub(3)-induced wheat production loss in China and India for the years 2000 and 2020 using dose-response functions based on AOT40 (accumulated [O sub(3)] above 40 ppb) and PODY (phytotoxic O sub(3) dose, accumulated stomatal flux of O sub(3) above a threshold of Y nmol m super(-2) s super(-1)). Two O sub(3) dose metrics (90 days AOT40 and POD6) were derived from European experiments, and the other two (75 days AOT40 and POD12) were adapted from Asian studies. Relative yield loss (RYL) of wheat in 2000 was estimated to be 6.4-14.9% for China and 8.2-22.3% for India. POD6 predicted greater RYL, especially for the warm regions of India, whereas the 90 days AOT40 gave the lowest estimates. For the future projection, all the O sub(3) dose metrics gave comparable estimates of an increase in RYL from 2000 to 2020 in the range 8.1-9.4% and 5.4-7.7% for China and India, respectively. The lower projected increase in RYL for India may be due to conservative estimation of the emission increase in 2020. Sensitivity tests of the model showed that the PODY-based estimates of RYL are highly sensitive to perturbations in the meteorological inputs, but that the estimated increase in RYL from 2000 to 2020 is much more robust. The projected increase in wheat production loss in China and India in the near future is substantially larger than the uncertainties in the estimation and indicates an urgent need for curbing the rapid increase in surface [O sub(3)] in these regions.
Using a high-resolution (40 × 40 km) chemical transport model coupled with the Regional Emission inventory in Asia (REAS), we simulated surface ozone concentrations ([O3 ]) and evaluated O3 -induced wheat production loss in China and India for the years 2000 and 2020 using dose-response functions based on AOT40 (accumulated [O3 ] above 40 ppb) and PODY (phytotoxic O3 dose, accumulated stomatal flux of O3 above a threshold of Y nmol m(-2) s(-1) ). Two O3 dose metrics (90 days AOT40 and POD6 ) were derived from European experiments, and the other two (75 days AOT40 and POD12 ) were adapted from Asian studies. Relative yield loss (RYL) of wheat in 2000 was estimated to be 6.4-14.9% for China and 8.2-22.3% for India. POD6 predicted greater RYL, especially for the warm regions of India, whereas the 90 days AOT40 gave the lowest estimates. For the future projection, all the O3 dose metrics gave comparable estimates of an increase in RYL from 2000 to 2020 in the range 8.1-9.4% and 5.4-7.7% for China and India, respectively. The lower projected increase in RYL for India may be due to conservative estimation of the emission increase in 2020. Sensitivity tests of the model showed that the PODY -based estimates of RYL are highly sensitive to perturbations in the meteorological inputs, but that the estimated increase in RYL from 2000 to 2020 is much more robust. The projected increase in wheat production loss in China and India in the near future is substantially larger than the uncertainties in the estimation and indicates an urgent need for curbing the rapid increase in surface [O3 ] in these regions.
Using a high‐resolution (40 × 40 km) chemical transport model coupled with the Regional Emission inventory in Asia (REAS), we simulated surface ozone concentrations ([O3]) and evaluated O3‐induced wheat production loss in China and India for the years 2000 and 2020 using dose–response functions based on AOT40 (accumulated [O3] above 40 ppb) and PODY (phytotoxic O3 dose, accumulated stomatal flux of O3 above a threshold of Y nmol m−2 s−1). Two O3 dose metrics (90 days AOT40 and POD6) were derived from European experiments, and the other two (75 days AOT40 and POD12) were adapted from Asian studies. Relative yield loss (RYL) of wheat in 2000 was estimated to be 6.4–14.9% for China and 8.2–22.3% for India. POD6 predicted greater RYL, especially for the warm regions of India, whereas the 90 days AOT40 gave the lowest estimates. For the future projection, all the O3 dose metrics gave comparable estimates of an increase in RYL from 2000 to 2020 in the range 8.1–9.4% and 5.4–7.7% for China and India, respectively. The lower projected increase in RYL for India may be due to conservative estimation of the emission increase in 2020. Sensitivity tests of the model showed that the PODY‐based estimates of RYL are highly sensitive to perturbations in the meteorological inputs, but that the estimated increase in RYL from 2000 to 2020 is much more robust. The projected increase in wheat production loss in China and India in the near future is substantially larger than the uncertainties in the estimation and indicates an urgent need for curbing the rapid increase in surface [O3] in these regions.
Using a high-resolution (40 × 40 km) chemical transport model coupled with the Regional Emission inventory in Asia (REAS), we simulated surface ozone concentrations ([O3]) and evaluated O3-induced wheat production loss in China and India for the years 2000 and 2020 using dose-response functions based on AOT40 (accumulated [O3] above 40 ppb) and PODY (phytotoxic O3 dose, accumulated stomatal flux of O3 above a threshold of Y nmol m-2 s-1). Two O3 dose metrics (90 days AOT40 and POD6) were derived from European experiments, and the other two (75 days AOT40 and POD12) were adapted from Asian studies. Relative yield loss (RYL) of wheat in 2000 was estimated to be 6.4-14.9% for China and 8.2-22.3% for India. POD6 predicted greater RYL, especially for the warm regions of India, whereas the 90 days AOT40 gave the lowest estimates. For the future projection, all the O3 dose metrics gave comparable estimates of an increase in RYL from 2000 to 2020 in the range 8.1-9.4% and 5.4-7.7% for China and India, respectively. The lower projected increase in RYL for India may be due to conservative estimation of the emission increase in 2020. Sensitivity tests of the model showed that the PODY-based estimates of RYL are highly sensitive to perturbations in the meteorological inputs, but that the estimated increase in RYL from 2000 to 2020 is much more robust. The projected increase in wheat production loss in China and India in the near future is substantially larger than the uncertainties in the estimation and indicates an urgent need for curbing the rapid increase in surface [O3] in these regions. [PUBLICATION ABSTRACT]
Author Liu, Gang
Zhu, Jianguo
Tang, Haoye
Kobayashi, Kazuhiko
Takigawa, Masayuki
Author_xml – sequence: 1
  givenname: Haoye
  surname: Tang
  fullname: Tang, Haoye
  organization: State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, 210008, Nanjing, China
– sequence: 2
  givenname: Masayuki
  surname: Takigawa
  fullname: Takigawa, Masayuki
  organization: Japan Agency for Marine-Earth Science and Technology, 3173-25 Showa-machi Kanazawa-ku, Kanagawa, 235-0001, Yokohama, Japan
– sequence: 3
  givenname: Gang
  surname: Liu
  fullname: Liu, Gang
  organization: State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, 210008, Nanjing, China
– sequence: 4
  givenname: Jianguo
  surname: Zhu
  fullname: Zhu, Jianguo
  organization: State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, 210008, Nanjing, China
– sequence: 5
  givenname: Kazuhiko
  surname: Kobayashi
  fullname: Kobayashi, Kazuhiko
  email: aclasman@mail.ecc.u-tokyo.ac.jp
  organization: Japan Agency for Marine-Earth Science and Technology, 3173-25 Showa-machi Kanazawa-ku, Kanagawa, 235-0001, Yokohama, Japan
BackLink http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27628141$$DView record in Pascal Francis
https://www.ncbi.nlm.nih.gov/pubmed/23661338$$D View this record in MEDLINE/PubMed
BookMark eNqNkttuEzEQhleoiB7gghdAlhASN9v6sD7kskQQChWgCtRLa9ZrE4eNHda7StKn6CPjTdIicYVvPOP5_n9seU6LoxCDLYqXBJ-TvC5-mvqcUMrpk-KEMMFLWilxNMa8Kgkm7Lg4TWmBMWYUi2fFMWVCEMbUSXF_iVZdXFjT-xhQdCjeZe_Sh2YwtkHruYV-JHK6I9qYEvIBTec-AILQoKvQeEAudqifW7S10CVEc6tdkWKK0dr3c2Q3q5iGzpY1pGw8Fl07bB7SVe4BZm7T8-KpgzbZF4f9rPjx4f336cfy-uvsanp5XXqmMC3rSjoD0EiieMUdM8IpAGErZZQ0uJLc1I7m08ZZTmvBhWCiNoJIYDUox86Kt3vf3Pj3YFOvlz4Z27YQbBySJhWVON8eq_9AiRIVl4pn9PU_6CIOXcgPGSk5EXxS0Uy9OlBDvbSNXnV-Cd1WP3xLBt4cAEgGWtdBMD795aSgKvtl7mLPrX1rt491gvU4FzrPhd7NhZ5N3-2CrCj3Cp96u3lUQPdLC8kk17dfZvrb55tPt5MbqWfsD7DVuVI
ContentType Journal Article
Copyright 2013 John Wiley & Sons Ltd
2014 INIST-CNRS
2013 John Wiley & Sons Ltd.
Copyright © 2013 John Wiley & Sons Ltd
Copyright_xml – notice: 2013 John Wiley & Sons Ltd
– notice: 2014 INIST-CNRS
– notice: 2013 John Wiley & Sons Ltd.
– notice: Copyright © 2013 John Wiley & Sons Ltd
DBID BSCLL
IQODW
CGR
CUY
CVF
ECM
EIF
NPM
7SN
7UA
C1K
F1W
H97
L.G
7X8
7ST
7TG
7TV
7U6
KL.
SOI
DOI 10.1111/gcb.12252
DatabaseName Istex
Pascal-Francis
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
Ecology Abstracts
Water Resources Abstracts
Environmental Sciences and Pollution Management
ASFA: Aquatic Sciences and Fisheries Abstracts
Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality
Aquatic Science & Fisheries Abstracts (ASFA) Professional
MEDLINE - Academic
Environment Abstracts
Meteorological & Geoastrophysical Abstracts
Pollution Abstracts
Sustainability Science Abstracts
Meteorological & Geoastrophysical Abstracts - Academic
Environment Abstracts
DatabaseTitle MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
Aquatic Science & Fisheries Abstracts (ASFA) Professional
Ecology Abstracts
Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality
ASFA: Aquatic Sciences and Fisheries Abstracts
Water Resources Abstracts
Environmental Sciences and Pollution Management
MEDLINE - Academic
Meteorological & Geoastrophysical Abstracts
Sustainability Science Abstracts
Pollution Abstracts
Environment Abstracts
Meteorological & Geoastrophysical Abstracts - Academic
DatabaseTitleList MEDLINE - Academic
Meteorological & Geoastrophysical Abstracts
MEDLINE

Aquatic Science & Fisheries Abstracts (ASFA) Professional
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Meteorology & Climatology
Biology
Environmental Sciences
EISSN 1365-2486
EndPage 2752
ExternalDocumentID 3037229131
23661338
27628141
GCB12252
ark_67375_WNG_PKRJW9R7_G
Genre article
Journal Article
Feature
GeographicLocations Asia
China
South Asia
India
China, People's Rep
GeographicLocations_xml – name: China
– name: India
– name: China, People's Rep
GrantInformation_xml – fundername: the Japan Society for the Promotion of Science and the Global Environment Research Fund
  funderid: C-062
– fundername: RONPAKU Fellowship
  funderid: CAS-11012
– fundername: Knowledge Innovation Program of the Chinese Academy of Sciences
  funderid: KZCX2-EW-414, ISSASIP1112
GroupedDBID -DZ
.3N
.GA
.Y3
05W
0R~
10A
1OB
1OC
29I
31~
33P
3SF
4.4
50Y
50Z
51W
51X
52M
52N
52O
52P
52S
52T
52U
52W
52X
53G
5GY
5HH
5LA
5VS
66C
702
7PT
8-0
8-1
8-3
8-4
8-5
8UM
930
A03
AAESR
AAEVG
AAHBH
AAHHS
AANLZ
AAONW
AASGY
AAXRX
AAZKR
ABCQN
ABCUV
ABEFU
ABEML
ABJNI
ABPVW
ACAHQ
ACBWZ
ACCFJ
ACCZN
ACGFS
ACPOU
ACPRK
ACSCC
ACXBN
ACXQS
ADBBV
ADEOM
ADIZJ
ADKYN
ADMGS
ADOZA
ADXAS
ADZMN
ADZOD
AEEZP
AEIGN
AEIMD
AENEX
AEQDE
AEUQT
AEUYR
AFBPY
AFEBI
AFFPM
AFGKR
AFPWT
AFRAH
AFZJQ
AHBTC
AHEFC
AITYG
AIURR
AIWBW
AJBDE
AJXKR
ALAGY
ALMA_UNASSIGNED_HOLDINGS
ALUQN
AMBMR
AMYDB
ASPBG
ATUGU
AUFTA
AVWKF
AZBYB
AZFZN
AZVAB
BAFTC
BDRZF
BFHJK
BHBCM
BMNLL
BMXJE
BNHUX
BROTX
BRXPI
BSCLL
BY8
C45
CAG
COF
CS3
D-E
D-F
DC6
DCZOG
DDYGU
DPXWK
DR2
DRFUL
DRSTM
DU5
EBS
ECGQY
EJD
ESX
F00
F01
F04
FEDTE
FZ0
G-S
G.N
GODZA
H.T
H.X
HF~
HGLYW
HVGLF
HZI
HZ~
IHE
IX1
J0M
K48
LATKE
LC2
LC3
LEEKS
LH4
LITHE
LOXES
LP6
LP7
LUTES
LW6
LYRES
MEWTI
MK4
MRFUL
MRSTM
MSFUL
MSSTM
MXFUL
MXSTM
N04
N05
N9A
NF~
O66
O9-
OIG
OVD
P2P
P2W
P2X
P4D
PALCI
PQQKQ
Q.N
Q11
QB0
R.K
RIWAO
RJQFR
ROL
RX1
SAMSI
SUPJJ
TEORI
UB1
UQL
VOH
W8V
W99
WBKPD
WIH
WIK
WNSPC
WOHZO
WQJ
WRC
WUP
WXSBR
WYISQ
XG1
Y6R
ZZTAW
~02
~IA
~KM
~WT
AAHQN
AAMNL
AANHP
AAYCA
ACRPL
ACYXJ
ADNMO
AFWVQ
ALVPJ
AAMMB
AEFGJ
AEYWJ
AGHNM
AGQPQ
AGXDD
AGYGG
AIDQK
AIDYY
IQODW
CGR
CUY
CVF
ECM
EIF
NPM
7SN
7UA
C1K
F1W
H97
L.G
7X8
7ST
7TG
7TV
7U6
KL.
SOI
ID FETCH-LOGICAL-i3802-b47fcaad718545f3c6f8aa6e48c87c0475cbf2c6fdfe52b656636bc617a3ba8f3
IEDL.DBID DR2
ISSN 1354-1013
IngestDate Thu Jul 10 23:52:11 EDT 2025
Thu Jul 10 20:56:23 EDT 2025
Fri Jul 25 10:49:08 EDT 2025
Mon Jul 21 05:43:34 EDT 2025
Mon Jul 21 09:16:27 EDT 2025
Wed Jan 22 16:36:31 EST 2025
Wed Oct 30 09:53:49 EDT 2024
IsPeerReviewed true
IsScholarly true
Issue 9
Keywords Monocotyledones
Loss
Ozone
Triticum aestivum L
Dose activity relation
India
O
dose response
Gramineae
China
crop loss
stomatal flux
Angiospermae
Cereal
Spermatophyta
AOT40
Wheat
Triticum aestivum
O3
Language English
License CC BY 4.0
2013 John Wiley & Sons Ltd.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i3802-b47fcaad718545f3c6f8aa6e48c87c0475cbf2c6fdfe52b656636bc617a3ba8f3
Notes ArticleID:GCB12252
Data S1. Model evaluation against surface ozone observations in China and India.Figure S1. Comparisons between monthly simulated [O3] (lines) for the year 2000 and measured [O3] (dots) in each defined region. Monthly simulated values are averaged over the grid cells where the observational sites are located. The measured values and error bars represent the means and ±1 SD of the monthly [O3] of the observational sites within each region.Table S1. Wheat production loss and relative yield loss in the year 2000 estimated by different O3 dose metrics for each province of China.Table S2. Wheat production loss and relative yield loss in the year 2020 estimated by different O3 dose metrics for each province of China.Table S3. Wheat production loss and relative yield loss in the year 2000 estimated by different O3 dose metrics for each state of India.Table S4. Wheat production loss and relative yield loss in the year 2020 estimated by different O3 dose metrics for each state of India.Table S5. List of the regional boundaries, number of observation sites, and the data sources of the observed [O3] for each defined region.
istex:98D9B37BC6445057B9F75D1C92249FD559C4BEFA
Knowledge Innovation Program of the Chinese Academy of Sciences - No. KZCX2-EW-414, ISSASIP1112
the Japan Society for the Promotion of Science and the Global Environment Research Fund - No. C-062
RONPAKU Fellowship - No. CAS-11012
ark:/67375/WNG-PKRJW9R7-G
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-1
ObjectType-Feature-2
content type line 23
ObjectType-Article-2
PMID 23661338
PQID 1417965942
PQPubID 30327
PageCount 14
ParticipantIDs proquest_miscellaneous_1427002008
proquest_miscellaneous_1418645785
proquest_journals_1417965942
pubmed_primary_23661338
pascalfrancis_primary_27628141
wiley_primary_10_1111_gcb_12252_GCB12252
istex_primary_ark_67375_WNG_PKRJW9R7_G
PublicationCentury 2000
PublicationDate September 2013
PublicationDateYYYYMMDD 2013-09-01
PublicationDate_xml – month: 09
  year: 2013
  text: September 2013
PublicationDecade 2010
PublicationPlace Oxford
PublicationPlace_xml – name: Oxford
– name: England
PublicationTitle Global change biology
PublicationTitleAlternate Glob Change Biol
PublicationYear 2013
Publisher Blackwell Publishing Ltd
Wiley-Blackwell
Publisher_xml – name: Blackwell Publishing Ltd
– name: Wiley-Blackwell
References Avnery S, Mauzerall DL, Liu J, Horowitz LW (2011b) Global crop yield reductions due to surface ozone exposure: 2 Year 2030 potential crop production losses and economic damage under two scenarios of O3 pollution. Atmospheric Environment, 45, 2297-2309.
Takigawa M, Niwano M, Akimoto H, Takahashi M (2007) Development of a one-way nested global-regional air quality forecasting model. SOLA, 3, 81-84.
Teixeira E, Fischer G, Van Velthuizen H et al. (2011) Limited potential of crop management for mitigating surface ozone impacts on global food supply. Atmospheric Environment, 45, 2569-2576.
Streets DG, Hao J, Wu Y, Jiang J, Chan M, Tian H, Feng X (2005) Anthropogenic mercury emissions in China. Atmospheric Environment, 39, 7789-7806.
Fuhrer J (2000) Introduction to the special issue on ozone risk analysis for vegetation in Europe. Environmental Pollution, 109, 359-360.
Wang X, Mauzerall DL (2004) Characterizing distributions of surface ozone and its impact on grain production in China, Japan and South Korea: 1990 and 2020. Atmospheric Environment, 38, 4383-4402.
Takigawa M, Sudo K, Akimoto H, Kita K, Takegawa N, Kondo Y, Takahashi M (2005) Estimation of the contribution of intercontinental transport during PEACE campaign by using a global model. Journal of Geophysical Research, 110, D21313, doi: 10.1029/2005JD006226.
The Royal Society (2008) Ground-Level Ozone in the 21st Century: Future Trends, Impacts and Policy Implications. Science Policy Report 15/08. The Royal Society, London.
Pleijel H, Danielsson H, Ojanpera K, Temmerman LD, Hogy P, Badiani M, Karlsson PE (2004) Relationships between ozone exposure and yield loss in European wheat and potato-a comparison of concentration- and flux-based exposure indices. Atmospheric Environment, 38, 2259-2269.
Heagle AS, Miller JE, Pursley WA (2000) Growth and yield responses of winter wheat to mixtures of ozone and carbon dioxide. Crop Science, 40, 1656-1664.
Emberson LD, Büker P, Ashmore MR (2009) A comparison of North American and Asian exposure-response data for ozone effects on crop yields. Atmospheric Environment, 43, 1945-1953.
Ashmore MR (2005) Assessing the future global impacts of ozone on vegetation. Plant, Cell and Environment, 28, 949-964.
Monteith J, Unsworth MH (2008) Principles of Environmental Physics. 3rd edn, Academic Press, London.
Mills G, Buse A, Gimeno B, Bermejo V, Holland M, Emberson L, Pleijel H (2007) A synthesis of AOT40-based response functions and critical levels for ozone for agricultural and horticultural crops. Atmospheric Environment, 41, 2630-2643.
Booker F, Muntifering R, McGrath M et al. (2009) The ozone component of global change: potential effects on agricultural and horticultural plant yield, product quality and interactions with invasive species. Journal of Integrative Plant Biology, 51, 337-351.
Zhang Q, Streets DG, He K et al. (2007) NOx emission trends for China, 1995-2004: the view from the ground and the view from space. Journal of Geophysical Research, 112, D22306, doi: 10.1029/2007JD008684.
Ding A, Wang T (2006) Influence of stratosphere-to-troposphere exchange on the seasonal cycle of surface ozone at Mount Waliguan in western China. Geophysical Research Letters, 33, L03803, doi: 10.1029/2005GL024760
Stockwell WR, Middleton P, Chang JS, Tang X (1990) The second-generation regional acid deposition model chemical mechanism for regional air quality modeling. Journal of Geophysical Research, 95, 16343-16367.
Mills G, Hayes F, Simpson D, Emberson L, Norris D, Harmens H, Buker P (2011) Evidence of widespread effects of ozone on crops and (semi-) natural vegetation in Europe (1990-2006) in relation to AOT40- and flux-based risk maps. Global Change Biology, 17, 592-613.
Aquila AD, Lucarini V, Ruti PM, Calmanti S (2005) Hayashi spectra of the northern hemisphere mid-latitude atmospheric variability in the NCEP-NCAR and ECMWF reanalyses. Climate Dynamics, 25, 639-652.
Feng Z, Kobayashi K (2009) Assessing the impacts of current and future concentrations of surface ozone on crop yield with meta-analysis. Atmospheric Environment, 43, 1510-1519.
Rai R, Agrawal M, Agrawal SB (2007) Assessment of yield losses in tropical wheat using open top chambers. Atmospheric Environment, 41, 9543-9554.
Wang X, Zhang Q, Zheng F et al. (2012) Effects of elevated O3 concentration on winter wheat and rice yields in the Yangtze River Delta, China. Environmental Pollution, 171, 118-125.
Feng Z, Pang J, Kobayashi K, Zhu J, Ort DR (2011) Differential responses in two varieties of winter wheat to elevated ozone concentration under fully open-air field conditions. Global Change Biology, 17, 580-591.
Zhao M, Running SW, Nemani RR(2006) Sensitivity of Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyses. Journal of Geophysical Research, 111, G01002, doi: 10.1029/2004JG000004.
Danielsson H, Karlsson GP, Karlsson PE, Pleijel H (2003) Ozone uptake modelling and flux-response relationships-an assessment of ozone-induced yield loss in spring wheat. Atmospheric Environment, 37, 475-485.
Aunan K, Berntsen TK, Seip HM (2000) Surface ozone in China and its possible impact on agricultural crop yields. Ambio, 29, 294-301.
Klingberg J, Engardt M, Uddling J, Karlsson PE, Pleijel H (2011) Ozone risk for vegetation in the future climate of Europe based on stomatal ozone uptake calculations. Tellus, 63A, 174-187.
Kurokawa J, Yumimoto K, Uno I, Ohara T (2009) Adjoint inverse modeling of NOx emissions over eastern China using satellite observations of NO2 vertical column densities. Atmospheric Environment, 43, 1878-1887.
Akimoto H (2003) Global air quality and pollution. Science, 302, 1716-1719.
Musselman RC, Lefohn AS, Massman WJ, Heath RL (2006) A critical review and analysis of the use of exposure- and flux-based ozone indices for predicting vegetation effects. Atmospheric Environment, 40, 1869-1888.
Grell GA, Peckham SE, Schmitz R, McKeen SA, Frost G, Skamarock WC, Eder B (2005) Fully coupled 'online' chemistry within the WRF model. Atmospheric Environment, 39, 6957-6975.
Sudo K, Takahashi M, Kurokawa J, Akimoto H (2002b) CHASER: a global chemical model of the troposphere 1. Model description. Journal of Geophysical Research, 107, D17, 4339, doi: 10.1029/2001JD001113.
Zhang Q, Geng G, Wang S, Richter A, He K (2012) Satellite remote sensing of changes in NOx emissions over China during 1996-2010. Chinese Science Bulletin, 57, 2857-2864.
China Agricultural Yearbook Editorial Committee (2000) China Agricultural Yearbook 2000. China Agriculture Press, Beijing, China(in Chinese).
Tang H, Liu G, Han Y, Zhu J, Kobayashi K (2011) A system for free-air ozone concentration elevation with rice and wheat: control performance and ozone exposure regime. Atmospheric Environment, 45, 6276-6282.
Feng Z, Kobayashi K, Ainsworth EA (2008) Impact of elevated ozone concentration on growth, physiology and yield of wheat (Triticum aestivum L.): a meta-analysis. Global Change Biology, 14, 2696-2708.
Ohara T, Akimoto H, Kurokawa J, Horii N, Yamaji K, Yan X, Hayasaka T (2007) An Asian emission inventory of anthropogenic emission sources for the period 1980-2020. Atmospheric Chemistry and Physics, 7, 4419-4444.
Akimoto H, Ohara T, Kurokawa J, Horii N (2006) Verification of energy consumption in China during 1996-2003 by satellite observation. Atmospheric Environment, 40, 7663-7667.
Zhu X, Feng Z, Sun T et al. (2011) Effects of elevated ozone concentration on yield of four Chinese cultivars of winter wheat under fully open-air field conditions. Global Change Biology, 17, 2697-2706.
Fuhrer J (2009) Ozone risk for crops and pastures in present and future climates. Naturwissenschaften, 96, 173-194.
Takigawa M, Niwano M, Akimoto H, Takahashi M, Kobayashi K (2009) Projection of surface ozone over East Asian in 2020. Journal of Agricultural Meteorology, 65, 161-166.
Guenther A, Hewitt CN, Erickson D et al. (1995) A global model of natural volatile organic compound emissions. Journal of Geophysical Research, 100, 8873-8892.
Feng Z, Tang H, Uddling J et al. (2012) A stomatal ozone flux-response relationship to assess ozone-induced yield loss of winter wheat in subtropical China. Environmental Pollution, 164, 16-23.
Freitas SR, Longo KM, Dias MAFS (2005) Monitoring the transport of biomass burning emissions in South America. Environmental Fluid Mechanics, 5, 135-167.
Avnery S, Mauzerall DL, Liu J, Horowitz LW (2011a) Global crop yield reductions due to surface ozone exposure: 1 Year 2000 crop production losses and economic damage. Atmospheric Environment, 45, 2284-2296.
Central Statistical Organisation (2000) Statistical Abstract, India 2000. Central Statistical Organisation, Ministry of Statistics & Programme Implementation, Government of India, New Delhi, India.
Pleijel H, Danielsson H, Emberson L, Ashmore MR, Mills G (2007) Ozone risk assessment for agricultural crops in Europe: further development of stomatal flux and flux-response relationships for European wheat and potato. Atmospheric Environment, 41, 3002-3040.
Shaw WJ, Allwine KJ, Fritz BG, Rutz FC, Rishel JP, Chapman EG (2008) An evaluation of the wind erosion module in DUSTRAN. Atmospheric Environment, 42, 1907-1921.
Pleijel H, Eriksen AB, Danielsson H, Bondesson N, Selldén G (2006) Differential ozone sensitivity in an old and a modern Swedish wheat cultivar-grain yield and quality, leaf chlorophyll and stomatal conductance. Environmental and Experimental Botany, 56, 63-71.
Sarkar A, Agrawal SB (2010) Elevated ozone and two modern wheat cultivars: an assessment of dose dependent sensitivity with respect to growth, reproductive and yield parameters. Environmental and Experimental Botany, 69, 328-337.
Ashmore MR, Emberson L, Karlsson PE, Pleijel H (2004) New directions: a new generation of ozone critical levels for the protection of vegetation in Europe. Atmospheric Environment, 38, 2213-2214.
Sudo K, Takahashi M, Akimoto H (2002a) CHASER: a global chemical model of the troposphere 2. Model results and evaluation. Journal of Geophysi
1990; 95
2012; 164
2009; 43
2006; 33
2011b; 45
2003; 15
2011; 17
2012; 57
2005; 28
2005; 25
2002a; 107
2009; 96
2009; 51
2010; 69
2001
2000
2004; 38
2012; 171
2011; 63A
2007; 7
2008; 22
2007; 3
2005; 39
2000; 29
2009; 65
2006; 56
2005; 110
2010
2008; 14
2008
2003; 37
2006
2000; 110
2004
2002b; 107
2012; 107
2006; 111
2007; 112
2006; 40
2000; 109
2005; 5
2000; 40
2003; 29
2011; 45
1995; 100
2007; 41
2008; 42
2003; 302
2012; 46
2011a; 45
References_xml – reference: The Royal Society (2008) Ground-Level Ozone in the 21st Century: Future Trends, Impacts and Policy Implications. Science Policy Report 15/08. The Royal Society, London.
– reference: Fuhrer J, Booker F (2003) Ecological issues related to ozone: agricultural issues. Environment International, 29, 141-154.
– reference: Ohara T, Akimoto H, Kurokawa J, Horii N, Yamaji K, Yan X, Hayasaka T (2007) An Asian emission inventory of anthropogenic emission sources for the period 1980-2020. Atmospheric Chemistry and Physics, 7, 4419-4444.
– reference: Sudo K, Takahashi M, Akimoto H (2002a) CHASER: a global chemical model of the troposphere 2. Model results and evaluation. Journal of Geophysical Research, 107, 4586, D21, doi: 10.1029/2001JD001114
– reference: Takigawa M, Niwano M, Akimoto H, Takahashi M (2007) Development of a one-way nested global-regional air quality forecasting model. SOLA, 3, 81-84.
– reference: Musselman RC, Lefohn AS, Massman WJ, Heath RL (2006) A critical review and analysis of the use of exposure- and flux-based ozone indices for predicting vegetation effects. Atmospheric Environment, 40, 1869-1888.
– reference: Gelang J, Pleijel H, Sild E, Danielsson H, Younis S, Selldén G (2000) Rate and duration of grain filling in relations to flag leaf senescence and grain yield in spring wheat (Triticum aestivum) exposed to different concentrations of ozone. Physiologia Plantarum, 110, 366-375.
– reference: Emberson LD, Büker P, Ashmore MR (2009) A comparison of North American and Asian exposure-response data for ozone effects on crop yields. Atmospheric Environment, 43, 1945-1953.
– reference: Van Dingenen R, Dentener FJ, Raes F, Krol MC, Emberson L, Cofala J (2009) The global impact of ozone on agricultural crop yields under current and future air quality legislation. Atmospheric Environment, 43, 604-618.
– reference: Booker F, Muntifering R, McGrath M et al. (2009) The ozone component of global change: potential effects on agricultural and horticultural plant yield, product quality and interactions with invasive species. Journal of Integrative Plant Biology, 51, 337-351.
– reference: Guenther A, Hewitt CN, Erickson D et al. (1995) A global model of natural volatile organic compound emissions. Journal of Geophysical Research, 100, 8873-8892.
– reference: Monteith J, Unsworth MH (2008) Principles of Environmental Physics. 3rd edn, Academic Press, London.
– reference: Shaw WJ, Allwine KJ, Fritz BG, Rutz FC, Rishel JP, Chapman EG (2008) An evaluation of the wind erosion module in DUSTRAN. Atmospheric Environment, 42, 1907-1921.
– reference: Freitas SR, Longo KM, Dias MAFS (2005) Monitoring the transport of biomass burning emissions in South America. Environmental Fluid Mechanics, 5, 135-167.
– reference: Zhao M, Running SW, Nemani RR(2006) Sensitivity of Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyses. Journal of Geophysical Research, 111, G01002, doi: 10.1029/2004JG000004.
– reference: Feng Z, Kobayashi K, Ainsworth EA (2008) Impact of elevated ozone concentration on growth, physiology and yield of wheat (Triticum aestivum L.): a meta-analysis. Global Change Biology, 14, 2696-2708.
– reference: Fuhrer J (2000) Introduction to the special issue on ozone risk analysis for vegetation in Europe. Environmental Pollution, 109, 359-360.
– reference: Monfreda C, Ramankutty N, Foley JA (2008) Farming the planet: 2 Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000. Global Biogeochemical Cycles, 22, GB1022 doi: 10.1029/2007GB002947
– reference: Oue H, Feng Z, Pang J, Miyata A, Mano M, Kobayashi K, Zhu J (2009) Modeling the stomatal conductance and photosynthesis of a flag leaf of wheat under elevated O3 concentration. Journal of Agricultural Meteorology, 65, 239-248.
– reference: Takigawa M, Niwano M, Akimoto H, Takahashi M, Kobayashi K (2009) Projection of surface ozone over East Asian in 2020. Journal of Agricultural Meteorology, 65, 161-166.
– reference: Streets DG, Hao J, Wu Y, Jiang J, Chan M, Tian H, Feng X (2005) Anthropogenic mercury emissions in China. Atmospheric Environment, 39, 7789-7806.
– reference: Zhu X, Feng Z, Sun T et al. (2011) Effects of elevated ozone concentration on yield of four Chinese cultivars of winter wheat under fully open-air field conditions. Global Change Biology, 17, 2697-2706.
– reference: Wang X, Mauzerall DL (2004) Characterizing distributions of surface ozone and its impact on grain production in China, Japan and South Korea: 1990 and 2020. Atmospheric Environment, 38, 4383-4402.
– reference: Sarkar A, Agrawal SB (2010) Elevated ozone and two modern wheat cultivars: an assessment of dose dependent sensitivity with respect to growth, reproductive and yield parameters. Environmental and Experimental Botany, 69, 328-337.
– reference: Vingarzan R (2004) A review of surface ozone background levels and trends. Atmospheric Environment, 38, 3431-3442.
– reference: Takigawa M, Sudo K, Akimoto H, Kita K, Takegawa N, Kondo Y, Takahashi M (2005) Estimation of the contribution of intercontinental transport during PEACE campaign by using a global model. Journal of Geophysical Research, 110, D21313, doi: 10.1029/2005JD006226.
– reference: Ding A, Wang T (2006) Influence of stratosphere-to-troposphere exchange on the seasonal cycle of surface ozone at Mount Waliguan in western China. Geophysical Research Letters, 33, L03803, doi: 10.1029/2005GL024760
– reference: Akimoto H, Ohara T, Kurokawa J, Horii N (2006) Verification of energy consumption in China during 1996-2003 by satellite observation. Atmospheric Environment, 40, 7663-7667.
– reference: Ashmore MR (2005) Assessing the future global impacts of ozone on vegetation. Plant, Cell and Environment, 28, 949-964.
– reference: Central Statistical Organisation (2000) Statistical Abstract, India 2000. Central Statistical Organisation, Ministry of Statistics & Programme Implementation, Government of India, New Delhi, India.
– reference: China Agricultural Yearbook Editorial Committee (2000) China Agricultural Yearbook 2000. China Agriculture Press, Beijing, China(in Chinese).
– reference: Danielsson H, Karlsson GP, Karlsson PE, Pleijel H (2003) Ozone uptake modelling and flux-response relationships-an assessment of ozone-induced yield loss in spring wheat. Atmospheric Environment, 37, 475-485.
– reference: Aunan K, Berntsen TK, Seip HM (2000) Surface ozone in China and its possible impact on agricultural crop yields. Ambio, 29, 294-301.
– reference: Akimoto H (2003) Global air quality and pollution. Science, 302, 1716-1719.
– reference: Klingberg J, Engardt M, Uddling J, Karlsson PE, Pleijel H (2011) Ozone risk for vegetation in the future climate of Europe based on stomatal ozone uptake calculations. Tellus, 63A, 174-187.
– reference: Heagle AS, Miller JE, Pursley WA (2000) Growth and yield responses of winter wheat to mixtures of ozone and carbon dioxide. Crop Science, 40, 1656-1664.
– reference: Zhang Q, Streets DG, He K et al. (2007) NOx emission trends for China, 1995-2004: the view from the ground and the view from space. Journal of Geophysical Research, 112, D22306, doi: 10.1029/2007JD008684.
– reference: Lu Z, Streets DG (2012) Increase in NOx Emissions from Indian Thermal Power Plants during 1996−2010: unit-Based Inventories and Multisatellite Observations. Environmental Science & Technology, 46, 7463-7470.
– reference: Teixeira E, Fischer G, Van Velthuizen H et al. (2011) Limited potential of crop management for mitigating surface ozone impacts on global food supply. Atmospheric Environment, 45, 2569-2576.
– reference: Kurokawa J, Yumimoto K, Uno I, Ohara T (2009) Adjoint inverse modeling of NOx emissions over eastern China using satellite observations of NO2 vertical column densities. Atmospheric Environment, 43, 1878-1887.
– reference: Feng Z, Kobayashi K (2009) Assessing the impacts of current and future concentrations of surface ozone on crop yield with meta-analysis. Atmospheric Environment, 43, 1510-1519.
– reference: Fuhrer J (2009) Ozone risk for crops and pastures in present and future climates. Naturwissenschaften, 96, 173-194.
– reference: Holland M, Kinghorn S, Emberson L, Cinderby S, Ashmore MR, Mills G, Harmens H (2006) Development of a Framework for Probabilistic Assessment of the Economic Losses Caused by Ozone Damage to Crops in Europe. CEH: Project Report Number C02309, NERC/Centre for Ecology and Hydrology, Bangor, UK.
– reference: Sudo K, Takahashi M, Kurokawa J, Akimoto H (2002b) CHASER: a global chemical model of the troposphere 1. Model description. Journal of Geophysical Research, 107, D17, 4339, doi: 10.1029/2001JD001113.
– reference: Pleijel H, Eriksen AB, Danielsson H, Bondesson N, Selldén G (2006) Differential ozone sensitivity in an old and a modern Swedish wheat cultivar-grain yield and quality, leaf chlorophyll and stomatal conductance. Environmental and Experimental Botany, 56, 63-71.
– reference: Stockwell WR, Middleton P, Chang JS, Tang X (1990) The second-generation regional acid deposition model chemical mechanism for regional air quality modeling. Journal of Geophysical Research, 95, 16343-16367.
– reference: Tang H, Liu G, Han Y, Zhu J, Kobayashi K (2011) A system for free-air ozone concentration elevation with rice and wheat: control performance and ozone exposure regime. Atmospheric Environment, 45, 6276-6282.
– reference: Feng Z, Pang J, Kobayashi K, Zhu J, Ort DR (2011) Differential responses in two varieties of winter wheat to elevated ozone concentration under fully open-air field conditions. Global Change Biology, 17, 580-591.
– reference: Grell GA, Peckham SE, Schmitz R, McKeen SA, Frost G, Skamarock WC, Eder B (2005) Fully coupled 'online' chemistry within the WRF model. Atmospheric Environment, 39, 6957-6975.
– reference: Ashmore MR, Emberson L, Karlsson PE, Pleijel H (2004) New directions: a new generation of ozone critical levels for the protection of vegetation in Europe. Atmospheric Environment, 38, 2213-2214.
– reference: Mills G, Hayes F, Simpson D, Emberson L, Norris D, Harmens H, Buker P (2011) Evidence of widespread effects of ozone on crops and (semi-) natural vegetation in Europe (1990-2006) in relation to AOT40- and flux-based risk maps. Global Change Biology, 17, 592-613.
– reference: Wang X, Zhang Q, Zheng F et al. (2012) Effects of elevated O3 concentration on winter wheat and rice yields in the Yangtze River Delta, China. Environmental Pollution, 171, 118-125.
– reference: Feng Z, Jin M, Zhang F, Huang Y (2003) Effects of ground-level ozone (O3) pollution on the yields of rice and winter wheat in the Yangtze River Delta. Journal of Environmental Sciences, 15, 360-362.
– reference: Avnery S, Mauzerall DL, Liu J, Horowitz LW (2011b) Global crop yield reductions due to surface ozone exposure: 2 Year 2030 potential crop production losses and economic damage under two scenarios of O3 pollution. Atmospheric Environment, 45, 2297-2309.
– reference: Liu Z, Xu Z, Yao Z, Huang H (2012) Comparison of surface variables from ERA and NCEP reanalysis with station data over eastern China. Theoretical and Applied Climatology, 107, 611-621.
– reference: Pleijel H, Danielsson H, Emberson L, Ashmore MR, Mills G (2007) Ozone risk assessment for agricultural crops in Europe: further development of stomatal flux and flux-response relationships for European wheat and potato. Atmospheric Environment, 41, 3002-3040.
– reference: Pleijel H, Danielsson H, Ojanpera K, Temmerman LD, Hogy P, Badiani M, Karlsson PE (2004) Relationships between ozone exposure and yield loss in European wheat and potato-a comparison of concentration- and flux-based exposure indices. Atmospheric Environment, 38, 2259-2269.
– reference: Wang S, Xing J, Chatani S, Hao J, Klimont Z, Cofala J, Amann M (2011) Verification of anthropogenic emissions of China by satellite and ground observations. Atmospheric Environment, 45, 6347-6358.
– reference: Rai R, Agrawal M, Agrawal SB (2007) Assessment of yield losses in tropical wheat using open top chambers. Atmospheric Environment, 41, 9543-9554.
– reference: Zhang Q, Geng G, Wang S, Richter A, He K (2012) Satellite remote sensing of changes in NOx emissions over China during 1996-2010. Chinese Science Bulletin, 57, 2857-2864.
– reference: Aquila AD, Lucarini V, Ruti PM, Calmanti S (2005) Hayashi spectra of the northern hemisphere mid-latitude atmospheric variability in the NCEP-NCAR and ECMWF reanalyses. Climate Dynamics, 25, 639-652.
– reference: Mills G, Buse A, Gimeno B, Bermejo V, Holland M, Emberson L, Pleijel H (2007) A synthesis of AOT40-based response functions and critical levels for ozone for agricultural and horticultural crops. Atmospheric Environment, 41, 2630-2643.
– reference: Avnery S, Mauzerall DL, Liu J, Horowitz LW (2011a) Global crop yield reductions due to surface ozone exposure: 1 Year 2000 crop production losses and economic damage. Atmospheric Environment, 45, 2284-2296.
– reference: Feng Z, Tang H, Uddling J et al. (2012) A stomatal ozone flux-response relationship to assess ozone-induced yield loss of winter wheat in subtropical China. Environmental Pollution, 164, 16-23.
– volume: 45
  start-page: 2297
  year: 2011b
  end-page: 2309
  article-title: Global crop yield reductions due to surface ozone exposure: 2 Year 2030 potential crop production losses and economic damage under two scenarios of O pollution
  publication-title: Atmospheric Environment
– start-page: 33
  year: 2001
  end-page: 78
– volume: 41
  start-page: 2630
  year: 2007
  end-page: 2643
  article-title: A synthesis of AOT40‐based response functions and critical levels for ozone for agricultural and horticultural crops
  publication-title: Atmospheric Environment
– volume: 96
  start-page: 173
  year: 2009
  end-page: 194
  article-title: Ozone risk for crops and pastures in present and future climates
  publication-title: Naturwissenschaften
– volume: 38
  start-page: 4383
  year: 2004
  end-page: 4402
  article-title: Characterizing distributions of surface ozone and its impact on grain production in China, Japan and South Korea: 1990 and 2020
  publication-title: Atmospheric Environment
– volume: 14
  start-page: 2696
  year: 2008
  end-page: 2708
  article-title: Impact of elevated ozone concentration on growth, physiology and yield of wheat ( L.): a meta‐analysis
  publication-title: Global Change Biology
– volume: 45
  start-page: 6347
  year: 2011
  end-page: 6358
  article-title: Verification of anthropogenic emissions of China by satellite and ground observations
  publication-title: Atmospheric Environment
– volume: 42
  start-page: 1907
  year: 2008
  end-page: 1921
  article-title: An evaluation of the wind erosion module in DUSTRAN
  publication-title: Atmospheric Environment
– volume: 22
  start-page: GB1022
  year: 2008
  article-title: Farming the planet: 2 Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000
  publication-title: Global Biogeochemical Cycles
– volume: 41
  start-page: 3002
  year: 2007
  end-page: 3040
  article-title: Ozone risk assessment for agricultural crops in Europe: further development of stomatal flux and flux–response relationships for European wheat and potato
  publication-title: Atmospheric Environment
– volume: 39
  start-page: 7789
  year: 2005
  end-page: 7806
  article-title: Anthropogenic mercury emissions in China
  publication-title: Atmospheric Environment
– volume: 56
  start-page: 63
  year: 2006
  end-page: 71
  article-title: Differential ozone sensitivity in an old and a modern Swedish wheat cultivar–grain yield and quality, leaf chlorophyll and stomatal conductance
  publication-title: Environmental and Experimental Botany
– volume: 57
  start-page: 2857
  year: 2012
  end-page: 2864
  article-title: Satellite remote sensing of changes in NO emissions over China during 1996–2010
  publication-title: Chinese Science Bulletin
– volume: 17
  start-page: 580
  year: 2011
  end-page: 591
  article-title: Differential responses in two varieties of winter wheat to elevated ozone concentration under fully open‐air field conditions
  publication-title: Global Change Biology
– volume: 28
  start-page: 949
  year: 2005
  end-page: 964
  article-title: Assessing the future global impacts of ozone on vegetation
  publication-title: Plant, Cell and Environment
– volume: 112
  start-page: D22306
  year: 2007
  article-title: NO emission trends for China, 1995–2004: the view from the ground and the view from space
  publication-title: Journal of Geophysical Research
– volume: 41
  start-page: 9543
  year: 2007
  end-page: 9554
  article-title: Assessment of yield losses in tropical wheat using open top chambers
  publication-title: Atmospheric Environment
– volume: 95
  start-page: 16343
  year: 1990
  end-page: 16367
  article-title: The second‐generation regional acid deposition model chemical mechanism for regional air quality modeling
  publication-title: Journal of Geophysical Research
– volume: 100
  start-page: 8873
  year: 1995
  end-page: 8892
  article-title: A global model of natural volatile organic compound emissions
  publication-title: Journal of Geophysical Research
– volume: 110
  start-page: 366
  year: 2000
  end-page: 375
  article-title: Rate and duration of grain filling in relations to flag leaf senescence and grain yield in spring wheat ( ) exposed to different concentrations of ozone
  publication-title: Physiologia Plantarum
– year: 2008
– volume: 164
  start-page: 16
  year: 2012
  end-page: 23
  article-title: A stomatal ozone flux–response relationship to assess ozone‐induced yield loss of winter wheat in subtropical China
  publication-title: Environmental Pollution
– year: 2004
– volume: 63A
  start-page: 174
  year: 2011
  end-page: 187
  article-title: Ozone risk for vegetation in the future climate of Europe based on stomatal ozone uptake calculations
  publication-title: Tellus
– volume: 171
  start-page: 118
  year: 2012
  end-page: 125
  article-title: Effects of elevated O concentration on winter wheat and rice yields in the Yangtze River Delta, China
  publication-title: Environmental Pollution
– volume: 17
  start-page: 2697
  year: 2011
  end-page: 2706
  article-title: Effects of elevated ozone concentration on yield of four Chinese cultivars of winter wheat under fully open‐air field conditions
  publication-title: Global Change Biology
– volume: 69
  start-page: 328
  year: 2010
  end-page: 337
  article-title: Elevated ozone and two modern wheat cultivars: an assessment of dose dependent sensitivity with respect to growth, reproductive and yield parameters
  publication-title: Environmental and Experimental Botany
– volume: 38
  start-page: 3431
  year: 2004
  end-page: 3442
  article-title: A review of surface ozone background levels and trends
  publication-title: Atmospheric Environment
– volume: 29
  start-page: 141
  year: 2003
  end-page: 154
  article-title: Ecological issues related to ozone: agricultural issues
  publication-title: Environment International
– volume: 17
  start-page: 592
  year: 2011
  end-page: 613
  article-title: Evidence of widespread effects of ozone on crops and (semi‐) natural vegetation in Europe (1990–2006) in relation to AOT40‐ and flux‐based risk maps
  publication-title: Global Change Biology
– volume: 5
  start-page: 135
  year: 2005
  end-page: 167
  article-title: Monitoring the transport of biomass burning emissions in South America
  publication-title: Environmental Fluid Mechanics
– volume: 65
  start-page: 239
  year: 2009
  end-page: 248
  article-title: Modeling the stomatal conductance and photosynthesis of a flag leaf of wheat under elevated O concentration
  publication-title: Journal of Agricultural Meteorology
– volume: 39
  start-page: 6957
  year: 2005
  end-page: 6975
  article-title: Fully coupled ‘online’ chemistry within the WRF model
  publication-title: Atmospheric Environment
– volume: 107
  start-page: D17
  year: 2002b
  article-title: CHASER: a global chemical model of the troposphere 1. Model description
  publication-title: Journal of Geophysical Research
– volume: 45
  start-page: 2284
  year: 2011a
  end-page: 2296
  article-title: Global crop yield reductions due to surface ozone exposure: 1 Year 2000 crop production losses and economic damage
  publication-title: Atmospheric Environment
– volume: 107
  start-page: 611
  year: 2012
  end-page: 621
  article-title: Comparison of surface variables from ERA and NCEP reanalysis with station data over eastern China
  publication-title: Theoretical and Applied Climatology
– volume: 43
  start-page: 1878
  year: 2009
  end-page: 1887
  article-title: Adjoint inverse modeling of NO emissions over eastern China using satellite observations of NO vertical column densities
  publication-title: Atmospheric Environment
– year: 2000
– volume: 40
  start-page: 7663
  year: 2006
  end-page: 7667
  article-title: Verification of energy consumption in China during 1996–2003 by satellite observation
  publication-title: Atmospheric Environment
– volume: 38
  start-page: 2213
  year: 2004
  end-page: 2214
  article-title: New directions: a new generation of ozone critical levels for the protection of vegetation in Europe
  publication-title: Atmospheric Environment
– volume: 40
  start-page: 1656
  year: 2000
  end-page: 1664
  article-title: Growth and yield responses of winter wheat to mixtures of ozone and carbon dioxide
  publication-title: Crop Science
– volume: 109
  start-page: 359
  year: 2000
  end-page: 360
  article-title: Introduction to the special issue on ozone risk analysis for vegetation in Europe
  publication-title: Environmental Pollution
– volume: 25
  start-page: 639
  year: 2005
  end-page: 652
  article-title: Hayashi spectra of the northern hemisphere mid‐latitude atmospheric variability in the NCEP–NCAR and ECMWF reanalyses
  publication-title: Climate Dynamics
– volume: 37
  start-page: 475
  year: 2003
  end-page: 485
  article-title: Ozone uptake modelling and flux–response relationships—an assessment of ozone‐induced yield loss in spring wheat
  publication-title: Atmospheric Environment
– year: 2010
– volume: 302
  start-page: 1716
  year: 2003
  end-page: 1719
  article-title: Global air quality and pollution
  publication-title: Science
– volume: 43
  start-page: 1945
  year: 2009
  end-page: 1953
  article-title: A comparison of North American and Asian exposure–response data for ozone effects on crop yields
  publication-title: Atmospheric Environment
– volume: 15
  start-page: 360
  year: 2003
  end-page: 362
  article-title: Effects of ground‐level ozone (O ) pollution on the yields of rice and winter wheat in the Yangtze River Delta
  publication-title: Journal of Environmental Sciences
– volume: 43
  start-page: 1510
  year: 2009
  end-page: 1519
  article-title: Assessing the impacts of current and future concentrations of surface ozone on crop yield with meta‐analysis
  publication-title: Atmospheric Environment
– volume: 7
  start-page: 4419
  year: 2007
  end-page: 4444
  article-title: An Asian emission inventory of anthropogenic emission sources for the period 1980–2020
  publication-title: Atmospheric Chemistry and Physics
– volume: 43
  start-page: 604
  year: 2009
  end-page: 618
  article-title: The global impact of ozone on agricultural crop yields under current and future air quality legislation
  publication-title: Atmospheric Environment
– volume: 111
  start-page: G01002
  year: 2006
  article-title: Sensitivity of Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyses
  publication-title: Journal of Geophysical Research
– volume: 107
  start-page: 4586
  year: 2002a
  article-title: CHASER: a global chemical model of the troposphere 2. Model results and evaluation
  publication-title: Journal of Geophysical Research
– year: 2006
– volume: 3
  start-page: 81
  year: 2007
  end-page: 84
  article-title: Development of a one–way nested global–regional air quality forecasting model
  publication-title: SOLA
– volume: 33
  start-page: L03803
  year: 2006
  article-title: Influence of stratosphere–to–troposphere exchange on the seasonal cycle of surface ozone at Mount Waliguan in western China
  publication-title: Geophysical Research Letters
– volume: 45
  start-page: 6276
  year: 2011
  end-page: 6282
  article-title: A system for free‐air ozone concentration elevation with rice and wheat: control performance and ozone exposure regime
  publication-title: Atmospheric Environment
– volume: 65
  start-page: 161
  year: 2009
  end-page: 166
  article-title: Projection of surface ozone over East Asian in 2020
  publication-title: Journal of Agricultural Meteorology
– volume: 29
  start-page: 294
  year: 2000
  end-page: 301
  article-title: Surface ozone in China and its possible impact on agricultural crop yields
  publication-title: Ambio
– volume: 46
  start-page: 7463
  year: 2012
  end-page: 7470
  article-title: Increase in NO Emissions from Indian Thermal Power Plants during 1996−2010: unit‐Based Inventories and Multisatellite Observations
  publication-title: Environmental Science & Technology
– volume: 110
  start-page: D21313
  year: 2005
  article-title: Estimation of the contribution of intercontinental transport during PEACE campaign by using a global model
  publication-title: Journal of Geophysical Research
– volume: 40
  start-page: 1869
  year: 2006
  end-page: 1888
  article-title: A critical review and analysis of the use of exposure‐ and flux‐based ozone indices for predicting vegetation effects
  publication-title: Atmospheric Environment
– volume: 51
  start-page: 337
  year: 2009
  end-page: 351
  article-title: The ozone component of global change: potential effects on agricultural and horticultural plant yield, product quality and interactions with invasive species
  publication-title: Journal of Integrative Plant Biology
– volume: 45
  start-page: 2569
  year: 2011
  end-page: 2576
  article-title: Limited potential of crop management for mitigating surface ozone impacts on global food supply
  publication-title: Atmospheric Environment
– volume: 38
  start-page: 2259
  year: 2004
  end-page: 2269
  article-title: Relationships between ozone exposure and yield loss in European wheat and potato—a comparison of concentration‐ and flux‐based exposure indices
  publication-title: Atmospheric Environment
SSID ssj0003206
Score 2.4452863
Snippet Using a high‐resolution (40 × 40 km) chemical transport model coupled with the Regional Emission inventory in Asia (REAS), we simulated surface ozone...
Using a high-resolution (40 × 40 km) chemical transport model coupled with the Regional Emission inventory in Asia (REAS), we simulated surface ozone...
Using a high-resolution (40 40 km) chemical transport model coupled with the Regional Emission inventory in Asia (REAS), we simulated surface ozone...
SourceID proquest
pubmed
pascalfrancis
wiley
istex
SourceType Aggregation Database
Index Database
Publisher
StartPage 2739
SubjectTerms Agricultural production
Animal and plant ecology
Animal, plant and microbial ecology
AOT40
Biological and medical sciences
Chemical transport
China
Climate change
crop loss
Crop production
Crops, Agricultural - growth & development
dose response
Dose-Response Relationship, Drug
Emission inventories
Environmental impact
Forecasting
Fundamental and applied biological sciences. Psychology
General aspects
India
Ozone
Ozone - toxicity
stomatal flux
Triticum - growth & development
Triticum aestivum
Triticum aestivum L
Uncertainty
Wheat
Title A projection of ozone-induced wheat production loss in China and India for the years 2000 and 2020 with exposure-based and flux-based approaches
URI https://api.istex.fr/ark:/67375/WNG-PKRJW9R7-G/fulltext.pdf
https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fgcb.12252
https://www.ncbi.nlm.nih.gov/pubmed/23661338
https://www.proquest.com/docview/1417965942
https://www.proquest.com/docview/1418645785
https://www.proquest.com/docview/1427002008
Volume 19
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3da9RAEF9KQfDFj9NqtJYVpPiS45LdJBv6VI_2aqVFDkv7IIT9lKNHUi539Non_wSf_AP9S5zZ5HJWRMS3JDMJ-fjNzG83szOEvBE2dSaTMuSZTENuBizMc6VDnOQXOXBgZ3CB88lpenTGjy-Siw2yt1oL09SH6Cbc0DK8v0YDl6r-xci_aNWPAI3ofzFXCwnReF06isW-r2bEEg6uJmJtVSHM4unOBEKK73KJCZGyhnfimmYWf2Kbd8mrjz6HD8nn1X03SSeX_cVc9fXtbyUd__PBHpEHLSul-w2MHpMNW_bIvaZP5U2PbB2sl8OBWusP6h4JToBzVzOvRnfpcDoBAuz3npDv-7Sd5oFPTytHq9uqtD--fpuUBvBk6DXGAdQxTQVbOoWATScl9T29qSwNfV8CfCnwago8ld6AVdYUV_14YQwclOI8MrXLqwpnOuHiGJWNF7vpYrk-0JZOt_VTcnZ48Gl4FLZdIMIJE-CuFc-cltJAEAW255hOnZAytVxokekBzxKtXAxHjbNJrJCfslRpYGaSKSkc2yKbJTzfc0ItXCrnWiv8-8hdnMucCWAsMOTLBpmxAdn1eCiumkofhZxdYuJblhTnp6Pi44fx8Xk-zopRQHbuAKY7IYbYIiIeBWR7haCidQo1jLLA-6VJzuOAvO7EYM74j0aWtlp4HZFyrED0Nx3MFsDElYA8a9C5vgEGhIsxkLz1GOsEq8EeoKvw6CpGw3d-48W_q74k92PfDgRz7LbJ5ny2sK-AlM3Vjre-n23RNTI
linkProvider Wiley-Blackwell
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9NAEB5VRQguPAIFQymLhCoujhLv-iVxKVGb9JEIRa3aC7LW-0BRI7vKQ6Q98RM48QP5JcysnYQihBA32zu2_Phm5tvx7AzA28REVsdS-iKWkS90i_tpmiufgvxJihzYalrg3B9EvTNxdBFebMD75VqYqj7EKuBGmuHsNSk4BaR_0fLPKm-2EY5ogO9QR283oRqui0fxwHXWbPNQoLFp87quEOXxrE5FSkpvc0EpkXKKb8VW7Sz-xDdv01fnfw4ewqflnVdpJ5fN-Sxvqpvfijr-76M9ggc1MWV7FZIew4YpGnC3alV53YCt_fWKOBSrTcK0AV4faXc5cWJsl3XGI-TAbu8JfN9jdaQHvz4rLStvysL8-PptVGiElGZfyBWQjK6K2LIx-mw2Kphr681kodlhgQhmSK0ZUlV2jYo5ZbTwxw0GSEMZhZKZWVyVFOzEi5Nj1m7YjueL9YG6erqZPoWzg_3TTs-vG0H4I56gxc5FbJWUGv0oEj7LVWQTKSMjEpXEqiXiUOU2wKPamjDIiaLyKFdIziTPZWL5FmwW-HzPgRm8VCqUyukHpLBBKlOeIGnBWV_cirXxYNcBIruqin1kcnJJuW9xmJ0PutnH4-HReTqMs64HO7cQszohQPeStEXbg-0lhLLaLkxxooUGMApTEXjwZjWMGk2_aWRhyrmTSSJBRYj-JkMJA5S74sGzCp7rG-DIuTjHkXcOZKuB5XwP0ZU5dGXdzge38eLfRV_Dvd5p_yQ7ORwcv4T7gesOQil327A5m8zNK-Ros3zHqeJPky05TQ
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9NAEF5VrUBcKARaDKUsEqq4OEq8a3stTiVt0geNqoiqPSBZ632gqJEd5SHSnvgJnPiB_BJm1o5DEUKIm-0ZW358M_PtenaGkDfCRFbHUvo8lpHPdYv5SZIpHyf5RQIc2Gpc4HzWj44u-MlVeLVG3i3XwpT1IeoJN7QM56_RwMfa_mLkn1XWbAMawf9u8KglENIHg1XtKBa4xpptFnLwNW1WlRXCNJ76VGCk-DIXmBEpp_BSbNnN4k908y57deGnu0k-LW-8zDq5bs5nWVPd_lbT8T-f7BF5WNFSul_i6DFZM3mD3CsbVd40yNbhaj0cqFUOYdog3hmQ7mLi1Oge7YyGwIDd3hPyfZ9W8zzw7WlhaXFb5ObH12_DXAOgNP2CgQB1dFnClo4gYtNhTl1TbypzTY9zwC8FYk2BqNIbMMspxWU_ThgACaU4kUzNYlzgVCdcHMOydmI7mi9WB6ra6Wb6lFx0Dz92jvyqDYQ_ZAL8dcZjq6TUEEWB7lmmIiukjAwXSsSqxeNQZTaAo9qaMMiQoLIoU0DNJMuksGyLrOfwfM8INXCphCuV4e9HboNEJkwAZYExX9yKtfHInsNDOi5LfaRyco2Zb3GYXvZ76fnp4OQyGcRpzyO7dwBTnxBAcBFt3vbIzhJBaeUVpjDMAvcXhQkPPPK6FoM9408amZti7nRExLEE0d90MF0AM1c8sl2ic3UDDBgXYyB56zBWC5ajPUBX6tCV9jrv3cbzf1d9Re6fH3TTD8f90xfkQeBag2C-3Q5Zn03m5iUQtFm26wzxJ-T6OAU
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+projection+of+ozone-induced+wheat+production+loss+in+China+and+India+for+the+years+2000+and+2020+with+exposure-based+and+flux-based+approaches&rft.jtitle=Global+change+biology&rft.au=HAOYE+TANG&rft.au=TAKIGAWA%2C+Masayuki&rft.au=GANG+LIU&rft.au=JIANGUO+ZHU&rft.date=2013-09-01&rft.pub=Wiley-Blackwell&rft.issn=1354-1013&rft.volume=19&rft.issue=9&rft.spage=2739&rft.epage=2752&rft_id=info:doi/10.1111%2Fgcb.12252&rft.externalDBID=n%2Fa&rft.externalDocID=27628141
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1354-1013&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1354-1013&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1354-1013&client=summon