Multi-Source Data Modeling of the Spatial Distribution of Winter Wheat Yield in China from 2000 to 2015 | |
Han, Dongrui1,2; Cai, Hongyan2; Yang, Xiaohuan1,2; Xu, Xinliang2 | |
刊名 | SUSTAINABILITY |
2020-07-01 | |
卷号 | 12期号:13页码:16 |
关键词 | yield winter wheat NPP planting area phenology |
DOI | 10.3390/su12135436 |
通讯作者 | Yang, Xiaohuan(yangxh@lreis.ac.cn) |
英文摘要 | Yield gridded datasets are essential for agricultural land management, food security and harmonious human-land relationships. Many studies have developed yield spatialization models that are based on cropland areas. However, crop planting areas, phenological dates, and net primary production (NPP) have received minimal attention. This study proposes a novel method to simulate winter wheat yields in China from 2000 to 2015 using crop phenological datasets, phenological observations, and NPP. The results showed that the NPP in the growing season and statistical yield showed a significant positive correlation (R-2= 0.93, p < 0.01). The mean prediction error of the gridded yield dataset was 12.01%. The relative errors of the gridded yield dataset for approximately half of the samples were between -10% and 10%. Furthermore, the yield distribution was high in the east and low in the west. The high yield was primarily concentrated in the North China Plain, while low yield was observed in eastern Gansu, central Shanxi, southern Hebei, and eastern Sichuan. From 2000 to 2015, the yield mainly showed an increasing trend in the study area, with the average rate of 0.17 t ha(-1)yr(-1), especially in the North China Plain. This study suggests that NPP is a key indicator to evaluate the yield of winter wheat. Furthermore, this method can be used to generate gridded yield maps along with providing credible and fundamental data for climate change and sustainable agricultural development. |
资助项目 | Strategic Priority Research Program of Chinese Academy of Sciences[XDA20010203] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20010302] ; National Natural Science Foundation of China[41771460] ; National Key Research and Development Program of China[2017YFC0503803] |
WOS关键词 | REMOTE-SENSING DATA ; CROP YIELD ; CLIMATE-CHANGE ; FOOD SECURITY ; PHENOLOGY ; MANAGEMENT ; REGIONS ; MAIZE ; AGRICULTURE ; TERRESTRIAL |
WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
语种 | 英语 |
出版者 | MDPI |
WOS记录号 | WOS:000555003400001 |
资助机构 | Strategic Priority Research Program of Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Key Research and Development Program of China |
内容类型 | 期刊论文 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/158258] |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Yang, Xiaohuan |
作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Han, Dongrui,Cai, Hongyan,Yang, Xiaohuan,et al. Multi-Source Data Modeling of the Spatial Distribution of Winter Wheat Yield in China from 2000 to 2015[J]. SUSTAINABILITY,2020,12(13):16. |
APA | Han, Dongrui,Cai, Hongyan,Yang, Xiaohuan,&Xu, Xinliang.(2020).Multi-Source Data Modeling of the Spatial Distribution of Winter Wheat Yield in China from 2000 to 2015.SUSTAINABILITY,12(13),16. |
MLA | Han, Dongrui,et al."Multi-Source Data Modeling of the Spatial Distribution of Winter Wheat Yield in China from 2000 to 2015".SUSTAINABILITY 12.13(2020):16. |
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