Tropospheric Ozone Assessment Report: Present-day tropospheric ozone distribution and trends relevant to vegetation

被引:294
|
作者
Mills, Gina [1 ,2 ]
Pleijel, Hakan [2 ]
Malley, Christopher S. [3 ,4 ,5 ]
Sinha, Baerbel [6 ]
Cooper, Owen R. [7 ]
Schultz, Martin G. [8 ]
Neufeld, Howard S. [9 ]
Simpson, David [10 ,11 ]
Sharps, Katrina [1 ]
Feng, Zhaozhong [12 ]
Gerosa, Giacomo [13 ]
Harmens, Harry [1 ]
Kobayashi, Kazuhiko [14 ]
Saxena, Pallavi [15 ]
Paoletti, Elena [16 ]
Sinha, Vinayak [6 ]
Xu, Xiaobin [17 ]
机构
[1] Environm Ctr Wales, NERC Ctr Ecol & Hydrol, Bangor, Gwynedd, Wales
[2] Univ Gothenburg, Biol & Environm Sci, Gothenburg, Sweden
[3] Univ York, Stockholm Environm Inst, Environm Dept, York, N Yorkshire, England
[4] NERC Ctr Ecol & Hydrol, Penicuik, Midlothian, Scotland
[5] Univ Edinburgh, Sch Chem, Edinburgh, Midlothian, Scotland
[6] Indian Inst Sci Educ & Res Mohali, Sect 81, Manauli PO, Sas Nagar 140306, Punjab, India
[7] Univ Colorado, Cooperat Inst Res Environm Sci, NOAA, Earth Syst Res Lab, Boulder, CO 80309 USA
[8] Forschungszentrum Julich, Julich, Germany
[9] Appalachian State Univ, Dept Biol, Boone, NC 28608 USA
[10] Norwegian Meteorol Inst, EMEP MSC W, Oslo, Norway
[11] Chalmers Univ Technol, Dept Space Earth & Environm, Gothenburg, Sweden
[12] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Beijing, Peoples R China
[13] Univ Cattolica Sacro Cuore, Dipartimento Matemat & Fis, Brescia, Italy
[14] Univ Tokyo, Grad Sch Agr & Life Sci, Tokyo, Japan
[15] Jawaharlal Nehru Univ, Sch Environm Sci, New Delhi, India
[16] CNR, Inst Sustainable Plant Protect, Florence, Italy
[17] Chinese Acad Meteorol Sci, Inst Atmospher Composit, Key Lab Atmospher Chem, Beijing, Peoples R China
来源
ELEMENTA-SCIENCE OF THE ANTHROPOCENE | 2018年 / 6卷
基金
英国自然环境研究理事会; 美国海洋和大气管理局;
关键词
Ozone; vegetation; metrics; crops; perennials; global; DOSE-RESPONSE RELATIONSHIPS; CROP YIELD LOSSES; SURFACE OZONE; STOMATAL FLUX; HUMAN HEALTH; (SEMI-)NATURAL VEGETATION; PRIMARY PRODUCTIVITY; GLOBAL IMPACTS; UNITED-STATES; AIR-QUALITY;
D O I
10.1525/elementa.302
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This Tropospheric Ozone Assessment Report (TOAR) on the current state of knowledge of ozone metrics of relevance to vegetation (TOAR-Vegetation) reports on present-day global distribution of ozone at over 3300 vegetated sites and the long-term trends at nearly 1200 sites. TOAR-Vegetation focusses on three metrics over vegetation-relevant time-periods across major world climatic zones: M12, the mean ozone during 08:00-19:59; AOT40, the accumulation of hourly mean ozone values over 40 ppb during daylight hours, and W126 with stronger weighting to higher hourly mean values, accumulated during 08:00-19:59. Although the density of measurement stations is highly variable across regions, in general, the highest ozone values (mean, 2010-14) are in mid-latitudes of the northern hemisphere, including southern USA, the Mediterranean basin, northern India, north, north-west and east China, the Republic of Korea and Japan. The lowest metric values reported are in Australia, New Zealand, southern parts of South America and some northern parts of Europe, Canada and the USA. Regional-scale assessments showed, for example, significantly higher AOT40 and W126 values in East Asia (EAS) than Europe (EUR) in wheat growing areas (p < 0.05), but not in rice growing areas. In NAM, the dominant trend during 1995-2014 was a significant decrease in ozone, whilst in EUR it was no change and in EAS it was a significant increase. TOAR-Vegetation provides recommendations to facilitate a more complete global assessment of ozone impacts on vegetation in the future, including: an increase in monitoring of ozone and collation of field evidence of the damaging effects on vegetation; an investigation of the effects on peri-urban agriculture and in mountain/upland areas; inclusion of additional pollutant, meteorological and inlet height data in the TOAR dataset; where not already in existence, establishing new region-specific thresholds for vegetation damage and an innovative integration of observations and modelling including stomatal uptake of the pollutant.
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