Linking a farmer crop selection model (FCS) with an agronomic model (EPIC) to simulate cropping pattern in Northeast China
In this paper, authors established a farmer crop selection model (FCS) for the three provinces of Liaoning, Jilin and Heilongjiang of the Northeast China. With linking to the environmental policy integrated climate model (EPIC), the simulated results of FCS model for maize, rice and soybean were spa...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier
2016-10-01
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| Series: | Journal of Integrative Agriculture |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095311915612473 |
| _version_ | 1819108154061881344 |
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| author | Ying-bin HE Wei-min CAI |
| author_facet | Ying-bin HE Wei-min CAI |
| author_sort | Ying-bin HE |
| collection | DOAJ |
| description | In this paper, authors established a farmer crop selection model (FCS) for the three provinces of Liaoning, Jilin and Heilongjiang of the Northeast China. With linking to the environmental policy integrated climate model (EPIC), the simulated results of FCS model for maize, rice and soybean were spatialized with 1 km×1 km grids to obtain cropping pattern. The reference map of spatial distribution for the three staple crops acquired by remote sensing imageries was applied to validate the simulated cropping pattern. The results showed that (1) the total simulation accuracy for the study area was 78.62%, which proved simulation method was applicable and feasible; (2) simulation accuracy for Jilin Province was the highest among the three provinces with a rate of 82.45% since its simple cropping system and not complex topography; (3) simulation accuracy for maize was the best among the three staple crops with a ratio of 81.14% because the study area is very suitable for maize growth. We hope this study could provide the reference for cropping pattern forecasting and decision-making. |
| first_indexed | 2024-12-22T03:05:25Z |
| format | Article |
| id | doaj.art-9731a3174bd24515b519f3671f0c171b |
| institution | Directory Open Access Journal |
| issn | 2095-3119 |
| language | English |
| last_indexed | 2024-12-22T03:05:25Z |
| publishDate | 2016-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Integrative Agriculture |
| spelling | doaj.art-9731a3174bd24515b519f3671f0c171b2022-12-21T18:41:04ZengElsevierJournal of Integrative Agriculture2095-31192016-10-01151024172425Linking a farmer crop selection model (FCS) with an agronomic model (EPIC) to simulate cropping pattern in Northeast ChinaYing-bin HE0Wei-min CAI1Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R. China; Management School, Tianjin Polytechnic University, Tianjin 300387, P.R. China; HE Ying-bin, Tel: +86-10-82106225Management School, Tianjin Polytechnic University, Tianjin 300387, P.R. China; Correspondence CAI Wei-min, Tel/Fax: +86-22-83956271In this paper, authors established a farmer crop selection model (FCS) for the three provinces of Liaoning, Jilin and Heilongjiang of the Northeast China. With linking to the environmental policy integrated climate model (EPIC), the simulated results of FCS model for maize, rice and soybean were spatialized with 1 km×1 km grids to obtain cropping pattern. The reference map of spatial distribution for the three staple crops acquired by remote sensing imageries was applied to validate the simulated cropping pattern. The results showed that (1) the total simulation accuracy for the study area was 78.62%, which proved simulation method was applicable and feasible; (2) simulation accuracy for Jilin Province was the highest among the three provinces with a rate of 82.45% since its simple cropping system and not complex topography; (3) simulation accuracy for maize was the best among the three staple crops with a ratio of 81.14% because the study area is very suitable for maize growth. We hope this study could provide the reference for cropping pattern forecasting and decision-making.http://www.sciencedirect.com/science/article/pii/S2095311915612473cropping patternstaple cropsEPIC modelFCS modelsimulation |
| spellingShingle | Ying-bin HE Wei-min CAI Linking a farmer crop selection model (FCS) with an agronomic model (EPIC) to simulate cropping pattern in Northeast China Journal of Integrative Agriculture cropping pattern staple crops EPIC model FCS model simulation |
| title | Linking a farmer crop selection model (FCS) with an agronomic model (EPIC) to simulate cropping pattern in Northeast China |
| title_full | Linking a farmer crop selection model (FCS) with an agronomic model (EPIC) to simulate cropping pattern in Northeast China |
| title_fullStr | Linking a farmer crop selection model (FCS) with an agronomic model (EPIC) to simulate cropping pattern in Northeast China |
| title_full_unstemmed | Linking a farmer crop selection model (FCS) with an agronomic model (EPIC) to simulate cropping pattern in Northeast China |
| title_short | Linking a farmer crop selection model (FCS) with an agronomic model (EPIC) to simulate cropping pattern in Northeast China |
| title_sort | linking a farmer crop selection model fcs with an agronomic model epic to simulate cropping pattern in northeast china |
| topic | cropping pattern staple crops EPIC model FCS model simulation |
| url | http://www.sciencedirect.com/science/article/pii/S2095311915612473 |
| work_keys_str_mv | AT yingbinhe linkingafarmercropselectionmodelfcswithanagronomicmodelepictosimulatecroppingpatterninnortheastchina AT weimincai linkingafarmercropselectionmodelfcswithanagronomicmodelepictosimulatecroppingpatterninnortheastchina |