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伊朗东北部基于 AgMERRA 的农业气候指数和农业气候区时空分布的变化对冬小麦的影响。

Changes in spatio-temporal distribution of AgMERRA-derived agro-climatic indices and agro-climatic zones for wheat crops in the northeast Iran.

机构信息

Faculty of Agriculture, Ferdowsi University of Mashhad, P.O. Box 91775-1163, Mashhad, Iran.

出版信息

Int J Biometeorol. 2022 Mar;66(3):431-446. doi: 10.1007/s00484-021-02156-3. Epub 2021 Jul 8.

Abstract

This study evaluates the potential of gridded AgMERRA (the Modern-Era Retrospective Analysis for Research and Applications) to estimate aridity index (AI), growing degree days (GDD), and temperature seasonality (TS) for six land stations across northeast Iran. The researcher investigated the spatiotemporal variation of the AgMERRA-derived agro-climatic indices for the entire period 1981-2010 and three 10-year sub-periods for the 347 wheat harvested grid cells (0.25° × 0.25°) and their utility for agro-climate zoning in northeast Iran. Results indicated a good agreement between AgMERRA daily solar radiation, maximum and minimum temperatures, and annual total precipitation with corresponding land observations for the six studied sites. AgMERRA-derived evapotranspiration (ET), AI, GDD, and TS also exhibited good agreement (R and d > 0.7) with the land station-derived indices for most of the locations. Annual analysis of the AI indicated a negative trend for all of the wheat harvested grid cells, but the decrease was significant (p < 0.05) only for 14.70% of grid cells, which were located in the southwest part of the studied region. The magnitude of the significant decreasing trends in annual AI was (-)0.0011 per year. The increase in aridity was due to the concurrent occurrences of positive ET trends and negative precipitation trends. All of the wheat harvested grid cells showed a significant increasing trend (p < 0.05) for GDD at the rate of 24.10 °C d year. The TS series demonstrated an apparent increasing trend for 99.2% of wheat harvested grid cells; however, only 16.9% of them had the significant positive trend (p < 0.05) with the average rate of 0.023 °C year. The wheat harvested grid cells with increasing trend for TS were mainly distributed in the arid mountainous southern part of the study area. The 10 years sub-periods revealed that the best conditions in terms of most of the studied agro-climatic indices were found in sub-period 1981-1990 and the north Khorasan had better conditions in all three sub-periods. Based on AI, GDD, and TS, 13 major gridded agro-climatic zones were recognized in northeast Iran.

摘要

本研究评估了网格化 AgMERRA(现代回顾分析研究与应用)在估计伊朗东北部六个陆地站的干旱指数 (AI)、生长度日 (GDD) 和温度季节性 (TS) 方面的潜力。研究人员调查了 AgMERRA 衍生的农业气候指数在整个 1981-2010 年期间以及三个 10 年子期间的时空变化,以及它们在伊朗东北部农业气候分区中的应用。结果表明,AgMERRA 日太阳辐射、最高和最低温度以及年总降水量与六个研究地点的相应陆地观测值之间存在良好的一致性。AgMERRA 衍生的蒸散量 (ET)、AI、GDD 和 TS 也与大多数地点的陆地站衍生指数具有良好的一致性 (R 和 d > 0.7)。AI 的年度分析表明,所有收获小麦的网格单元格都呈负趋势,但只有 14.70%的网格单元格(位于研究区域的西南部)的下降具有显著意义 (p < 0.05)。每年 AI 显著下降的幅度为 (-)0.0011 每年。干旱程度的增加是由于 ET 趋势和降水趋势的同时发生。所有收获小麦的网格单元格的 GDD 都表现出显著的增加趋势 (p < 0.05),增长率为 24.10°C d 年。TS 系列表明,99.2%的收获小麦的网格单元格表现出明显的增加趋势;然而,只有 16.9%的网格单元格具有显著的正趋势 (p < 0.05),平均增长率为 0.023°C 年。TS 呈上升趋势的收获小麦网格单元格主要分布在研究区域干旱多山的南部。10 年子期间表明,在大多数研究的农业气候指数方面,最好的条件出现在 1981-1990 年子期间,而北呼罗珊在所有三个子期间的条件都更好。根据 AI、GDD 和 TS,在伊朗东北部确定了 13 个主要的网格化农业气候区。

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