Article ; Online: Mapping the ratoon rice suitability region in China using random forest and recursive feature elimination modeling
Field Crops Research. 2023 Oct., v. 301 p.109016-
2023
Abstract: Ratoon rice (RR) offers lower input costs and greater benefits as it allows paddy rice to be harvested twice from the same stubble, compared to double-season rice (DR) and single-season rice. In addition, in situations where there is thermal energy ... ...
Abstract | Ratoon rice (RR) offers lower input costs and greater benefits as it allows paddy rice to be harvested twice from the same stubble, compared to double-season rice (DR) and single-season rice. In addition, in situations where there is thermal energy greater than that required for single-season rice, but less than that required for DR, RR can fully exploit available water and thermal resources, boosting yield and economic output. Yet, it is uncertain where RR and DR are suitable for distribution in China. The objectives were to map the regions suitable for RR and DR at the national level, clarify the optimal factor combinations and dominant controlling factors, and estimate potential paddy rice planting regions/area that are more suitable for RR compared to DR. This study proposed a combination of recursive feature elimination (RFE) method and random forest (RF) model. The RFE, an effective feature selection method, was employed to filter optimal factor combinations from 33 initial factors for RR and DR, respectively. Then, with the assistance of best sample ratio, parameter optimization and 10-fold cross-validation, the optimal RF model was utilized to determine which regions of China are suitable for RR and DR, and which regions have a higher suitability of RR than that of DR. The results showed that the RFE-RF model was able to map accurate suitability regions driven by 22 (DR) and 20 (RR) factors, and optimal parameters (DR: mtry=4 and ntree=1500; RR: mtry=2 and ntree=3500), with high confusion matrix (>0.97) and AUC value (DR:0.996; RR:0.998). The regions of the south of the middle and lower reaches of the Yangtze River, as well as central and eastern China and the Sichuan Basin, were high and very high suitability regions for DR and RR, respectively. The regions more suitable for RR were densely concentrated in Sichuan Basin, Hanjiang Plain and Jianghuai Hilly Region, with a combined area of 20.18 million hectares (Mha) classified as having high or very high suitability. These results indicate that climate factors, specifically wtemp, above0, above10, and mrain, may be more important for affecting suitability regions for RR planting than other types of factors. Due to the diversity of rice and the subjectivity of planting, the selection of varieties adapted to local conditions can help reduce the climate risk of RR production, especially in medium and low suitable regions. Exploring the potential planting region and area of DR, RR and more suitable for planting RR in China provides valuable information for increasing rice yield, lowing labor costs and ensuring food safety. |
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Keywords | basins ; climate ; food safety ; labor ; models ; research ; risk ; rough rice ; stubble ; thermal energy ; China ; Yangtze River ; Suitability region ; Ratoon rice ; Double-season rice ; Random Forest ; Recursive feature elimination |
Language | English |
Dates of publication | 2023-10 |
Publishing place | Elsevier B.V. |
Document type | Article ; Online |
ZDB-ID | 435684-6 |
ISSN | 1872-6852 ; 0378-4290 |
ISSN (online) | 1872-6852 |
ISSN | 0378-4290 |
DOI | 10.1016/j.fcr.2023.109016 |
Database | NAL-Catalogue (AGRICOLA) |
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