Assessment of irrigated maize yield response to climate change scenarios in Portugal

被引:45
|
作者
Yang, Chenyao [1 ]
Fraga, Helder [1 ]
Van Ieperen, Wim [2 ]
Santos, Joao Andrade [1 ]
机构
[1] Univ Tras Os Montes & Alto Douro UTAD, CITAB, Ctr Res & Technol Agroenvironm & Biol Sci, P-5000801 Vila Real, Portugal
[2] Wageningen Univ, Grp Hort & Prod Physiol, NL-6700 AA Wageningen, Netherlands
关键词
Maize irrigation; Water use efficiency; STICS; AquaCrop; Climate change projections; Adaptation strategies; WATER-USE EFFICIENCY; CHANGE IMPACTS; CROP MODEL; DEFICIT IRRIGATION; CHANGE PROJECTIONS; STRESS CONDITIONS; AQUACROP MODEL; PERFORMANCE; ADAPTATION; MANAGEMENT;
D O I
10.1016/j.agwat.2017.02.004
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Maize is an important crop for the Portuguese agricultural sector. Future climate change, with warmer and dryer conditions in this Mediterranean environment, will challenge this high-water demanding crop. The present study aims at assessing the response of maize yield, growth cycle, seasonal water input and daily water productivity (DWP) to climate change, and analyse water-yield relations. For this purpose, two process-based crop models are used (STICS and AquaCrop) and were validated in simulating irrigated maize yields in Central Portugal (Ribatejo) by using regional statistics (1986-2005). Both models show an overall agreement in their outputs. The 2-model mean outputs are considered under future climate projections (2021-2080; RCP4.5 and 8.5), using the global/regional climate model chain M-MPI-ESMLR/SMHI-RCA4. The most significant reductions on maize yield (-17%), growth cycle (-12%) and DWP (-19%) are observed for 2061-2080 under RCP8.5, with a noticeable decrease of seasonal water input (-9%) during 2041-2060. Decreased DWP is largely due to significant yield reduction, with limited benefit of atmospheric CO2 enrichment. A water-yield relation analysis highlights that an increase of 2-14% in irrigation for future scenarios (compared to 1986-2005) might be a suitable strategy to mitigate yield reduction, despite substantially lower DWP (down to-23%). These findings demonstrate that our model approach can be used as a decision support tool by Portuguese farmers, particularly in optimizing maize production under changing climates. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:178 / 190
页数:13
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