Open AccessCombining simulation model and field observation in understanding crop productivity to climate variation
Author(s) -
Raden Eliasar Prabowo Tjahjono,
. Perdinan,
Devia Purwanti,
L. V. Gunawan,
F. N. Nadhifah
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/399/1/012006
Subject(s) - dssat , productivity , environmental science , climate change , crop simulation model , biomass (ecology) , simulation modeling , agricultural engineering , crop productivity , crop , agronomy , mathematics , economics , engineering , ecology , biology , mathematical economics , macroeconomics
Changes in climate characteristics affect the growth and development of paddy and therefore affect rice productivity. Simulation model can be used to study the effect of climate change on rice productivity. In this study, combination of crop simulation model and field observation are used to comprehend the effect of climate change on rice productivity. The study uses field observation data. Climate, soil, and crop management input variable are similar to observation conditions. This research used default Aquacrop to estimate rice productivity in response to climate changes in Subang and also used DSSAT to estimate rice productivity and biomass components. The observation results showed that rice productivity in Pamanukan, Binong, Pagaden, Purwadadi, and Cijambe are about 6, 9, 7, 7, and 4 ton/ha. The output of the crop simulation model shows that rice productivity estimation based on the model have similar amount to rice productivity based on the field observation. Productivity estimation of simulation models is based on climate variations distinguished by temperature and rainfall accumulation. In the applications, it can be used to prepare mitigation and adaptation actions