中国黄河流域不同玉米生态区用水效率阈值和关键驱动因素的识别

IF 9.7 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Journal of Cleaner Production Pub Date : 2024-11-12 DOI:10.1016/j.jclepro.2024.144209
Wei Chen , Hui Ju , Di Zhang , William D. Batchelor
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引用次数: 0

摘要

由于中国灌溉缺水以及气候变化下干旱风险的增加,确定作物水分利用效率(WUE)在从湿到干梯度上的制约因素非常重要。本研究将耦合模式相互比较项目第六阶段(CMIP6)的五个高分辨率气候模式与农业技术转让决策支持系统(DSSAT)-CERES-玉米模式耦合,量化了黄河流域五个主要玉米生态区域在三种未来情景(SSP126、SSP370 和 SSP585)下的干旱风险和影响水分利用效率的驱动因素,包括历史基线(1985-2014 年)和三个未来时期:2021-2040(2030 年代)、2041-2070(2050 年代)和 2071-2100(2080 年代)。并对作物模型实施了偏差校正方法,以分析不同干湿梯度下玉米的最佳WUE阈值。结果表明,在所有情景下,长三角地区未来的干旱风险都可能持续存在,但干旱的严重程度和频率存在区域差异。西南地区(V)在 2030 年代发生干旱的频率最高(62.50%-SSP126),而西北地区(III)在 2030 年代发生干旱的频率最低(33.00%-SSP585),在 SSP126 条件下,西南地区(V)83.30% 的地区在 2080 年代出现明显湿润。经过偏差校正的 CERES-Maize 模式有效地模拟了作物产量和蒸散量(ET),使归一化均方根误差(nRMSE)分别平均减少了 4.00% 和 9.73%。在玉米种植区的不同情景期,观察到不同的 WUE 临界值,范围从 1.96 到 8.41 千克/公顷-1 毫米-1,主要是在轻微和中等干旱/潮湿条件下。值得注意的是,与基线相比,所有 SSP585 情景下的 WUE 临界值都有所下降。在所有情景和时期中,WUE 在东部地区(I 和 II)主要由产量驱动,而在西部地区(III、IV 和 V)则主要由蒸散发驱动。这些研究结果表明,在未来的气候情景下,经历不同程度干旱的地区应进行差异化管理和优化农业实践,以提高水分利用效率。
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Identification of thresholds and key drivers on water use efficiency in different maize ecoregions in Yellow River Basin of China
Identifying the constrains on water use efficiency (WUE) of crops along a wet-to-dry gradient is important due to irrigation water scarcity, as well as the increasing drought risk under climate change in China. This study coupled five high-resolution climate models from Coupled Model Intercomparison Project Phase 6 (CMIP6) with the Decision Support System for Agrotechnology Transfer (DSSAT)-CERES-Maize model to quantify drought risk and the drivers affecting WUE in five major maize ecoregions of the Yellow River Basin (YRB) under three future scenarios (SSP126, SSP370, and SSP585) for both the historical baseline (1985–2014) and three future periods: 2021–2040 (2030s), 2041–2070 (2050s), and 2071–2100 (2080s). And a bias correction method was implemented for the crop model to analyze optimal WUE thresholds for maize across varying dry-wet gradients. The results indicated that future drought risk will likely persist in the YRB under all scenarios, but with regional differences in drought severity and frequency. The southwestern region (V) experienced the highest frequency of drought (62.50%-SSP126), while the northwestern region (III) exhibited the lowest frequency (33.00%-SSP585) in 2030s, and 83.30% of areas in the southwestern (V) showed significant wetting in the 2080s under SSP126. The bias-corrected CERES-Maize model effectively simulated crop yield and evapotranspiration (ET), resulting in an average reduction of 4.00% and 9.73% in normalized root mean square error (nRMSE) respectively. Distinct WUE thresholds ranging from 1.96 to 8.41 kg ha−1 mm−1 were observed across various scenarios-periods in the maize regions, mostly under slight and moderate dry/wet conditions. Notably, all SSP585 scenarios demonstrated a decrease in WUE thresholds compared to the baseline. Across all scenarios and periods, WUE was mainly driven by yield in the eastern regions (I and II) but by ET in the western regions (III, IV, and V). These findings suggest that regions experiencing varying degrees of drought severity should undergo differentiated management and optimization of agricultural practices to improve WUE under future climate scenarios.
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来源期刊
Journal of Cleaner Production
Journal of Cleaner Production 环境科学-工程:环境
CiteScore
20.40
自引率
9.00%
发文量
4720
审稿时长
111 days
期刊介绍: The Journal of Cleaner Production is an international, transdisciplinary journal that addresses and discusses theoretical and practical Cleaner Production, Environmental, and Sustainability issues. It aims to help societies become more sustainable by focusing on the concept of 'Cleaner Production', which aims at preventing waste production and increasing efficiencies in energy, water, resources, and human capital use. The journal serves as a platform for corporations, governments, education institutions, regions, and societies to engage in discussions and research related to Cleaner Production, environmental, and sustainability practices.
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