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中国水稻物候对气候变化响应时空分布数据集(1981-2010)

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国家对地观测科学数据中心2023-04-06 更新2024-03-04 收录
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https://noda.ac.cn/datasharing/datasetDetails/641fb5421a4e5870ee39ffcb
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中国水稻物候对气候变化响应时空分布数据集(1981-2010)是在中国39个水稻研究站、1981-2010年间的水稻物候及其相关气象观测资料基础上,利用气候趋势率和敏感性时空分布分析方法研发得到。水稻物候响应数据分为早稻、中稻和晚稻分别统计。该数据集包括:(1)早稻、中稻、晚稻研究样本点地理信息及播种月份(Fig1);(2)早稻、中稻、晚稻研究区1981-2010年水稻全生长季内温度、降水、日照、积温变化趋势及显著性检验(Fig2);(3)早稻、中稻、晚稻1981-2010年10个物候期变化趋势及显著性检验(Fig3-Fig5);(4)早稻、中稻、晚稻1981-2010年3个生长阶段(营养生长期VGP、生殖生长期RGP和全生育期WGP)变化趋势及显著性检验(Fig6);(5)水稻3个生长期对气候因子的敏感性分析(Fig7)。该数据集存储为.xlsx格式,由7个数据文件组成,数据量为108 KB(压缩为1个文件,90.5 KB)。该数据集的分析研究成果已经发表在《Climatic Change》杂志2019年第157卷第2期。

Spatio-temporal Distribution Dataset of Rice Phenological Responses to Climate Change in China (1981–2010) was developed based on rice phenological and related meteorological observation data from 39 rice research stations across China during 1981–2010, using the analysis methods of climate trend rate and spatio-temporal distribution of sensitivity. The rice phenological response data is separately counted for early rice, middle-season rice and late rice. This dataset includes: (1) Geographical information of research sample sites and sowing months for early, middle-season and late rice (Fig. 1); (2) Change trends and significance tests of temperature, precipitation, sunshine duration and accumulated temperature during the entire rice growing season from 1981 to 2010 in the research areas of early, middle-season and late rice (Fig. 2); (3) Change trends and significance tests of 10 phenological phases of early, middle-season and late rice from 1981 to 2010 (Figs. 3–5); (4) Change trends and significance tests of three growth stages (vegetative growth period VGP, reproductive growth period RGP and whole growth period WGP) of early, middle-season and late rice from 1981 to 2010 (Fig. 6); (5) Sensitivity analysis of the three rice growth stages to climatic factors (Fig. 7). This dataset is stored in .xlsx format, consisting of 7 data files with a total size of 108 KB (compressed into a single file of 90.5 KB). The analytical research results of this dataset have been published in *Climatic Change*, Volume 157, Issue 2, 2019.
创建时间:
2023-04-06
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