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1892 年至 2016 年期间,天气和大气中 CO 增加对英国小麦模拟产量的影响。

The impact of weather and increased atmospheric CO from 1892 to 2016 on simulated yields of UK wheat.

机构信息

Computational and Analytical Sciences, Rothamsted Research, Harpenden, Hertfordshire AL5 2JQ, UK.

School of Agriculture, Policy and Development, University of Reading, Berkshire, UK.

出版信息

J R Soc Interface. 2021 Jun;18(179):20210250. doi: 10.1098/rsif.2021.0250. Epub 2021 Jun 16.

DOI:10.1098/rsif.2021.0250
PMID:34129791
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8205528/
Abstract

Climate change effects on UK winter wheat grain yield are complex: warmer temperature, negative; greater carbon dioxide (CO) concentration, positive; but other environmental variables and their timing also affect yield. In the absence of long-term experiments where temperature and CO concentration were manipulated separately, we applied the crop simulation model Sirius with long-term daily meteorological data (1892-2016) for Rothamsted, Hertfordshire, UK (2007-2016 mean growing season temperature 1.03°C warmer than 1892-1991), and CO concentration over this period, to investigate the separate effects of historic CO and weather on simulated grain yield in three wheat cultivars of the modern era. We show a slight decline in simulated yield over the period 1892-2016 from the effect of weather (daily temperature, rainfall and sunshine hours) at fixed CO (294.50 ppm, 1892 reference value), but a maximum 9.4% increase when accounting for increasing atmospheric CO (from 294.50 to 404.21 ppm), differing slightly among cultivars. Notwithstanding considerable inter-annual variation, the slight yield decline at 294.50 ppm CO over this 125-year period from the historic weather simulations for Rothamsted agrees with the expected decline from temperature increase alone, but the positive yield trend with actual CO values does not match the recent stagnation in UK wheat yield.

摘要

气候变化对英国冬小麦谷物产量的影响较为复杂

温度升高,负面影响;二氧化碳(CO)浓度增加,正面影响;但其他环境变量及其时间也会影响产量。由于缺乏分别控制温度和 CO 浓度的长期实验,我们应用作物模拟模型 Sirius 并结合长期每日气象数据(1892-2016 年,罗瑟米尔施特德,英国赫特福德郡的生长季节平均温度比 1892-1991 年高 1.03°C)和这段时间的 CO 浓度,研究了历史 CO 和天气对三个现代小麦品种模拟谷物产量的单独影响。我们发现,在 1892-2016 年期间,由于 CO 固定(294.50 ppm,1892 年参考值)下天气(日温度、降雨量和日照小时数)的影响,模拟产量略有下降,但考虑到大气 CO 的增加(从 294.50 增加到 404.21 ppm),产量最多增加了 9.4%,不同品种之间略有差异。尽管存在很大的年际变化,但在这段 125 年期间,罗瑟米尔施特德的历史天气模拟中,在 294.50 ppm CO 下的产量略微下降,这与仅因温度升高而预期的下降相符,但实际 CO 值下的产量增长趋势与英国小麦产量的近期停滞不前并不相符。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acf9/8205528/d7ed8428d5f1/rsif20210250f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acf9/8205528/b46c37dee8f5/rsif20210250f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acf9/8205528/4e4bb58b3602/rsif20210250f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acf9/8205528/f494dfaf4387/rsif20210250f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acf9/8205528/d7ed8428d5f1/rsif20210250f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acf9/8205528/b46c37dee8f5/rsif20210250f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acf9/8205528/4e4bb58b3602/rsif20210250f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acf9/8205528/f494dfaf4387/rsif20210250f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acf9/8205528/d7ed8428d5f1/rsif20210250f04.jpg

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本文引用的文献

1
Investigating the effects of inter-annual weather variation (1968-2016) on the functional response of cereal grain yield to applied nitrogen, using data from the Rothamsted Long-Term Experiments.利用洛桑试验站长期试验的数据,研究年际间天气变化(1968 - 2016年)对谷物产量对施氮功能响应的影响。
Agric For Meteorol. 2020 Apr 15;284:107898. doi: 10.1016/j.agrformet.2019.107898.
2
Large genetic yield potential and genetic yield gap estimated for wheat in Europe.欧洲小麦的遗传产量潜力和遗传产量差距估计很大。
Glob Food Sec. 2020 Mar;24:100340. doi: 10.1016/j.gfs.2019.100340.
3
Nitrogen application is required to realize wheat yield stimulation by elevated CO but will not remove the CO -induced reduction in grain protein concentration.
施氮是实现 CO 升高刺激小麦产量所必需的,但不能消除 CO 引起的籽粒蛋白质浓度降低。
Glob Chang Biol. 2019 May;25(5):1868-1876. doi: 10.1111/gcb.14586. Epub 2019 Feb 27.
4
Climate change impact and adaptation for wheat protein.气候变化对小麦蛋白的影响与适应
Glob Chang Biol. 2019 Jan;25(1):155-173. doi: 10.1111/gcb.14481. Epub 2018 Nov 22.
5
Global wheat production with 1.5 and 2.0°C above pre-industrial warming.全球小麦产量在比工业化前水平高出1.5摄氏度和2.0摄氏度的情况下。
Glob Chang Biol. 2019 Apr;25(4):1428-1444. doi: 10.1111/gcb.14542. Epub 2019 Jan 24.
6
Multimodel ensembles improve predictions of crop-environment-management interactions.多模型集成提高了对作物-环境-管理相互作用的预测能力。
Glob Chang Biol. 2018 Nov;24(11):5072-5083. doi: 10.1111/gcb.14411. Epub 2018 Aug 24.
7
Drought tolerance during reproductive development is important for increasing wheat yield potential under climate change in Europe.在生殖发育过程中具有耐旱性,对提高欧洲气候变化下小麦的产量潜力很重要。
J Exp Bot. 2019 Apr 29;70(9):2549-2560. doi: 10.1093/jxb/ery226.
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Ozone pollution will compromise efforts to increase global wheat production.臭氧污染将危及增加全球小麦产量的努力。
Glob Chang Biol. 2018 Aug;24(8):3560-3574. doi: 10.1111/gcb.14157. Epub 2018 May 16.
9
The uncertainty of crop yield projections is reduced by improved temperature response functions.改进的温度响应函数可降低作物产量预测的不确定性。
Nat Plants. 2017 Jul 17;3:17102. doi: 10.1038/nplants.2017.102.
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