Future scenarios data on crop yields


Citation for this dataset
Toshichika Iizumi. (2017). Future scenarios data on crop yields [Data set]. Data Integration and Analysis System (DIAS). https://doi.org/10.20783/DIAS.529
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IDENTIFICATION INFORMATION

Name Future scenarios data on crop yields
DOI doi:10.20783/DIAS.529
Metadata Identifier I17SR_crop_yields20220216184653-DIAS20220214155649-en

CONTACT

CONTACT on DATASET

Name Toshichika Iizumi
Organization Institute for Agro-Environmental Sciences, National Agriculture and Food Research Institute
Address 3-1-3 Kannondai, Tsukuba, Ibaraki, 305-8604, Japan
TEL 029-838-8435
E-mail iizumit@affrc.go.jp

CONTACT on PROJECT

Data Integration and Analysis System

Name DIAS Office
Organization Japan Agency for Marine-Earth Science and Technology
Address 3173-25, Showa-Cho, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0001, Japan
E-mail dias-office@diasjp.net

DOCUMENT AUTHOR

Name Toshichika Iizumi
Organization Institute for Agro-Environmental Sciences, National Agriculture and Food Research Institute
E-mail iizumit@affrc.go.jp

DATASET CREATOR

Name Toshichika Iizumi
Organization Institute for Agro-Environmental Sciences, National Agriculture and Food Research Institute
E-mail iizumit@affrc.go.jp

DATE OF THIS DOCUMENT

2022-02-16

DATE OF DATASET

  • publication : 2017-08-10

DATASET OVERVIEW

Abstract

The grid-cell yield data available in this dataset are estimated using the global gridded crop model CYGMA and the assumptions on future climate and socioeconomy. The Shared Socioeconomic Pathways (SSP) 1, 2 and 3 are used as the assumptions on socioeconomy. Four different Representative Concentration Pathways (RCP) are used to account for the CO2 fertilization effect on yields. Future climate conditions are based on the bias-corrected CMIP5 GCM outputs. The data for maize, rice, wheat and soybean for the period 1961-2100 are available at the 0.5-degree resolution. Only spring wheat is consisdered. The yield data are available for each of irrigated and rainfed conditions. Also the yield data are available for areas where currently cultivation is not conducted. This allows users to calculate national average yield using user's own irrigation scenarios.

Topic Category(ISO19139)

  • farming

Temporal Extent

Begin Date 1961-01-01
End Date 2100-01-01
Temporal Characteristics Annual

Geographic Bounding Box

North bound latitude 90
West bound longitude -180
Eastbound longitude 180
South bound latitude -90

Grid

Dimension Name Dimension Size (slice number of the dimension) Resolution Unit
column 720 0.5 (deg)
row 360 0.5 (deg)
vertical 1 1 (level)

Keywords

Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme [Agriculture ] > [Agricultural Plant Science ] > [Crop/Plant Yields ] GCMD_science

Keywords on Project

Data Integration and Analysis System
Keyword Type Keyword Keyword thesaurus Name
theme DIAS > Data Integration and Analysis System No_Dictionary

Online Resource

Distribution Information

name version specification
NetCDF 4

DATA PROCESSING

Data Processing (1)

General Explanation of the data producer's knowledge about the lineage of a dataset

The I17SR crop yield dataset are generated by using the global gridded crop model CYGMA and high-yielding technology under SSP and bias-corrected CMIP5 GCM outputs.

DATA POLICY

Data Policy by the Data Provider

The reference (Iizumi et al., 2017, doi:10.1038/s41598-017-08214-4) should be cited when the dataset is used.

Data Policy by the Project

Data Integration and Analysis System

If data provider does not have data policy, DIAS Terms of Service (https://diasjp.net/en/policy/) and DIAS Privacy Policy (https://diasjp.net/en/privacypolicy/) apply.

If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail.

DATA SOURCE ACKNOWLEDGEMENT

Acknowledge the Project

Data Integration and Analysis System

If you plan to use this dataset for a conference presentation, paper, journal article, or report etc., please include acknowledgments referred to following examples. If the data provider describes examples of acknowledgments, include them as well.

" In this study, [Name of Dataset] provided by [Name of Data Provider] was utilized. This dataset was also collected and provided under the Data Integration and Analysis System (DIAS), which was developed and operated by a project supported by the Ministry of Education, Culture, Sports, Science and Technology. "

REFERENCES

Iizumi, T., Furuya, J., Shen, Z., Kim, W., Okada, M., Fujimori, S., Hasegawa, T. and Nishimori, M. (2017) Responses of crop yield growth to global temperature and socioeconomic changes. Scientific Reports, 7, 7800, doi:10.1038/s41598-017-08214-4.


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