Suppr超能文献

小麦对未来气候变化的适应性:华北平原三个小麦产区播种期和播种量对小麦产量的影响

Adaptability of wheat to future climate change: Effects of sowing date and sowing rate on wheat yield in three wheat production regions in the North China Plain.

作者信息

Wen Pengfei, Wei Qiongru, Zheng Liang, Rui Zhanxu, Niu Mengjiao, Gao Chenkai, Guan Xiaokang, Wang Tongchao, Xiong Shuping

机构信息

Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural Uiversity, Zhengzhou, Henan 450046, PR China.

Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural Uiversity, Zhengzhou, Henan 450046, PR China.

出版信息

Sci Total Environ. 2023 Nov 25;901:165906. doi: 10.1016/j.scitotenv.2023.165906. Epub 2023 Jul 31.

Abstract

Adjusting sowing dates and sowing rates is a key adaptation strategy for adapting to future climate change, and maintaining wheat production in the North China Plain (NCP). However, it is still unclear whether the current sowing date and sowing rate can adapt to future climate change, and how to adjust the sowing date and sowing rate to compensate for the adverse effects of climate change on wheat yields. This study predicts the adaptability of agricultural management practices like sowing dates and sowing rates, to future climate change in three wheat regions by referring to four global climate models (GCMs) and AquaCrop model. Population structure and yield were maximized for sowing dates from Oct.11-20 and sowing rates of 10-13 kg/667 m (or 13-16 kg/667 m) in 2016-2021. Three wheat regions were expected to show a warming trend, while the total precipitation has large spatial fluctuations under both representative concentration pathways (rcp) scenarios in the 2022-2100. AquaCrop model could simulate yield with a good precision (RMSE≤1043.7 kg/ha). Compared to the average yield of the baseline period (2016-2021), in the 2022-2100, the average predicted wheat yields of three wheat regions simulated based on the current optimal sowing date and sowing rate decreased by 5.45 % ∼ 11.05 % (9.35 % ∼ 16.84 %) and 2.57 % ∼ 10.95 % (6.97 % ∼ 12.75 %) under the rcp4.5 (rcp8.5), respectively. Average wheat yield losses were effectively compensated when the combinations of Oct.15 and 14 kg/667 m for the dryland wheat, Oct.21 and 14 kg/667 m for the irrigated wheat, and Oct.21 and 13 kg/667 m for the high-yield-rainfed wheat were applied under both rcp scenarios, respectively, with predicted yield losses of -4.17 %, -3.50 %, and - 3.25 %. Thus, adjusting sowing dates and sowing rates are viable options to effectively address the adverse effects of future global climate change, thereby guaranteeing food security in the NCP.

摘要

调整播种日期和播种量是适应未来气候变化、维持华北平原小麦产量的关键适应策略。然而,目前的播种日期和播种量是否能适应未来气候变化,以及如何调整播种日期和播种量以弥补气候变化对小麦产量的不利影响,仍不明确。本研究通过参考四个全球气候模型(GCMs)和AquaCrop模型,预测了播种日期和播种量等农业管理措施对三个小麦种植区未来气候变化的适应性。在2016 - 2021年期间,10月11日至20日的播种日期以及10 - 13千克/667平方米(或13 - 16千克/667平方米)的播种量使群体结构和产量最大化。在2022 - 2100年期间,预计三个小麦种植区将呈现变暖趋势,而在两种代表性浓度路径(rcp)情景下,总降水量存在较大的空间波动。AquaCrop模型能够以较高精度模拟产量(均方根误差≤1043.7千克/公顷)。与基准期(2016 - 2021年)的平均产量相比,在2022 - 2100年期间,基于当前最优播种日期和播种量模拟的三个小麦种植区的平均预测小麦产量在rcp4.5(rcp8.5)情景下分别下降了5.45% ∼ 11.05%(9.35% ∼ 16.84%)和2.57% ∼ 10.95%(6.97% ∼ 12.75%)。在两种rcp情景下,当分别采用旱地小麦10月15日和14千克/667平方米、灌溉小麦10月21日和14千克/667平方米、高产雨养小麦10月21日和13千克/667平方米的组合时,平均小麦产量损失得到有效补偿,预测产量损失分别为 - 4.17%、 - 3.50%和 - 3.25%。因此,调整播种日期和播种量是有效应对未来全球气候变化不利影响、保障华北平原粮食安全的可行选择。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验