Global Rice High-temperature Disaster Risk Simulating Dataset (2030s, 2050s)

SU Peng1,2WANG Jing’ai*1,3ZHANG Anyu1WANG Ran1

1 Faculty of Geographical Science，Beijing Normal University，Beijing 100875，China2 School of Geographic Science，Qinghai Normal University，Xining 810016，China3 Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation (Ministry of Education) Qinghai Normal University，Xining 810008，China

DOI:10.3974/geodb.2022.06.04.V1

Published:Jun. 2022

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Key Words：

global change,rice,high temperature,vulnerability,simulation,2030s,2050s,Sustainability

Abstract：

Under the background of climate and population changes, the food supply pressure increased. Rice is a temperature-sensitive crop, thus its future yield and facing disasters will also undergo significant changes with climate changes. Using the MaxEnt model, the method of redistribution of supply and demand, and the data on rice planting areas and yields in the historical period (1970-2000), the authors analyzed the different scenarios (rcp2.6-ssp1, rcp4.5-ssp2, and rcp8.5-ssp3) of rice in the near-term 2030s (2016-2035) and the mid-term 2050s (2046-2065) to simulate the potential suitable areas; then, superimposed with the calculated extreme high-temperature disasters under different scenarios to obtain the extreme high-temperature exposure of rice area data. The vulnerability curve of rice to high-temperature stress was calculated by the EPIC model, and the high-temperature hazard and vulnerability curve were used to calculate data of high-temperature yield loss of rice. The dataset includes: (1) the rice planting areas in the historical period and the potential suitable rice planting areas in the near and mid-term future simulated under the three climate change scenarios; (2) the rice distribution areas affected by extreme high-temperature in the historical period (i.e. rice high temperature exposure area) and the rice high-temperature exposure area simulated under the three climate change scenarios; (3) the rice yield loss caused by extreme high-temperature in historical periods (i.e. rice high temperature vulnerability) and the simulation results under the three climate change scenarios. The spatial resolution of rice planting area and high-temperature exposure area is 0.25°x0.25°, and the spatial resolution of rice yield loss is 0.5°x0.5°. The dataset is archived in .tif format, and consists of 21 data files with data size of 46.8 MB (compressed to one file with 3.67 MB). The discovery paper based on this dataset was published in Sustainability, Vol.13, No.3, 2021.Browse

Foundation Item：

Ministry of Science and Technology of P. R. China (2016YFA0602402)

Data Citation：

SU Peng, WANG Jing’ai*, ZHANG Anyu, WANG Ran. Global Rice High-temperature Disaster Risk Simulating Dataset (2030s, 2050s)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2022. https://doi.org/10.3974/geodb.2022.06.04.V1.

SU Peng, WANG Jingai, ZHANG Anyu, et al. Global high–temperature disaster risk of rice dataset [J]. Journal of Global Change Data & Discovery, 2022, 6(4): 545–556.

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