| 张继双,唐昊冶,刘钢,朱建国.亚热带地区水稻(Oryza sativa L.)气孔臭氧通量和产量的响应关系[J].农业环境科学学报,2016,35(10):1857-1866. |
| 亚热带地区水稻(Oryza sativa L.)气孔臭氧通量和产量的响应关系 |
| Stomatal ozone flux-response relationships of rice(Oryza sativa L.) in subtropical area |
| 投稿时间：2016-04-28 |
| DOI：10.11654/jaes.2016-0594 |
| 中文关键词: 气孔导度 水稻(Oryza sativa L.) 臭氧 通量响应关系 |
| 英文关键词: stomatal conductance rice(Oryza sativa L.) ozone flux-response relationship |
| 基金项目:科技部国际科技合作与交流项目（2010DFA22770） |
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| 中文摘要: |
| 基于开放式臭氧浓度升高O3-FACE（Free-Air Concentration Elevation of O3）实验平台，利用前期水稻O3-FACE试验的基础数据，通过建立水稻产量与不同评价指标（累积气孔O3吸收通量PODY和O3浓度指标AOTX）的响应关系，比较了水稻产量损失与各评价指标的相关性差异，通过对暴露剂量、吸收通量相关参数取值与产量损失的观察和分析结果的比较，找出更为合理的农作物臭氧风险评估阈值。结果表明：随着通量阈值Y[0~11 nmol O3·m-2 PLA·s-1（PLA：projected leaf area，投影叶面积）]和暴露浓度阈值X（0~50 nL·L-1）的增加，回归分析R2值逐渐增加，当Y为11 nmol O3 m-2 PLA·s-1和X为50 nL·L-1时，气孔臭氧吸收通量POD11和累积暴露剂量AOT50与水稻相对产量的相关性最大，当通量阈值Y为8~13 nmol O3·m-2 PLA·s-1和暴露阈值X为46~58 nL·L-1时，可获得较高的R2值取值范围，分别为0.70~0.75和0.70~0.745。参考文献发现，目前地表臭氧污染可能引起的水稻产量损失范围为5%~8%，对照圈中POD9~10和AOT40~45产量损失的预测值亦在这区间，但前者R2值（0.73~0.74）明显高于后者R2值（0.64~0.69），表明基于气孔臭氧通量的评价指标能更好地反映水稻产量的变化。通过进一步分析发现，当通量阈值Y为9 nmol O3·m-2 PLA·s-1时，能更准确地评估水稻产量损失，且其R2值（0.73）高于通量指标POD6（0.57）。以上研究结果表明，通量指标POD9更适合评估亚热带地区O3污染对水稻作物的影响。 |
| 英文摘要: |
| Based on previous investigations on a fully open-air ozone(O3) fumigation experiment(O3-FACE), we established dose-response relationships using O3 dose index AOT40(accumulated [O3] above 40 nL·L-1) and PODY(phytotoxic O3 dose, accumulated stomatal flux of O3 above a threshold of Y nmol·m-2·s-1), and compared their performance on O3-induced rice yield loss evaluation. The aim of this study is to find the optimum threshold for exposure-based and flux-based dose-response relationships used for ozone risk assessment on rice. Our result showed that the R2-value of regression analysis increased with flux threshold Y[0~11 nmol O3·m-2 PLA·s-1(PLA:projected leaf area)] and exposure threshold X(0~50 nL·L-1) increase, respectively. When flux threshold Y was 11 nmol O3·m-2 PLA·s-1 and exposure threshold X was 50 nL·L-1, the O3 dose index POD11 and AOT50 had the strongest correlation with RY(relative yield) of rice, respectively. High R2-value was derived i.e. 0.70~0.75 and 0.70~0.745 when flux threshold Y was within the range of 8~13 nmol O3·m-2 PLA·s-1 and exposure threshold X was 46~58 nL·L-1, respectively. Previous studies have indicated that the rice yield loss caused by near-surface ozone pollution may range from 5% to 8%. These results were similar with our estimation on ambient[O3] treatment using POD9~10 and AOT40~45. The higher R2-value 0.73~0.74 with POD9~10 compared to that of 0.64~0.69 with AOT40~45 indicated that flux-based assessment may have a superior performance on O3-induced rice yield loss estimation. Further analysis found that when flux threshold Y=9 nmol O3·m-2 PLA·s-1, assessment of rice yield loss was more accurate, and the R2-value(0.73) was higher than that of POD6(0.57). Our results suggested that POD9 is suitable for evaluating rice yield loss due to O3 increase in subtropical area. |
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