A5005226176- Climate change impacts on agriculture
- Climate variability and models
- Rice Cultivation and Yield Improvement
- Plant responses to elevated CO2
- Meteorological Phenomena and Simulations
- Plant Water Relations and Carbon Dynamics
- Land Use and Ecosystem Services
- Atmospheric chemistry and aerosols
- Hydrology and Watershed Management Studies
- Atmospheric and Environmental Gas Dynamics
- Remote Sensing in Agriculture
- Agricultural risk and resilience
- Sustainable Agricultural Systems Analysis
- Remote Sensing and Land Use
- Genetic Mapping and Diversity in Plants and Animals
- Climate Change Policy and Economics
- Agricultural Economics and Policy
- Water resources management and optimization
- Urban Heat Island Mitigation
- Flood Risk Assessment and Management
- Crop Yield and Soil Fertility
- Healthcare cost, quality, practices
- Greenhouse Technology and Climate Control
- Water-Energy-Food Nexus Studies
- GABA and Rice Research
National Institute for Environmental Studies
2006-2025
National Institute for Japanese Language and Linguistics
2023
Ibaraki University
2014-2021
Center for Environmental Science in Saitama
2010-2015
Kyoto University
2004
Nagoya University
1999-2002
Abstract Highly accurate global polygonal drainage basin data (PDBD) was developed in this research. The PDBD derived from digital elevation models (DEMs) at high‐resolution (about 100 m–1 km) by automatic and non‐automatic methods to suppress DEM errors which derive wrong PDBD. are ‘stream burning’ ‘ridge fencing’, while the method is one manually corrects (‘manual correction’). For derivation of PDBD, we collected used geographic river published governments, institutes, publishers,...
Abstract The CO 2 fertilization effect is a major source of uncertainty in crop models for future yield forecasts, but coordinated efforts to determine the mechanisms this have been lacking. Here, we studied causes among 16 predicting rice response elevated [CO ] (E-[CO ]) by comparison free-air enrichment (FACE) and chamber experiments. model ensemble reproduced experimental results well. However, prediction E-[CO varied significantly models. variation was not random: that overestimated at...
Understanding the relationship between stomatal conductance (gs) and photosynthesis (An) under water stress conditions can improve accuracy of land surface models for estimating gas exchange crop canopies with atmosphere. However, little is known about effect on this in crops. A glasshouse experiment was, therefore, conducted to investigate changes linear gs An owing rice association soil moisture content. Severe (SWS), mild (MWS), no (NWS) were applied from flowering onwards fully developed...
Abstract Agricultural adaptation is necessary to reduce the negative impacts of climate change on crop yields and maintain food production. However, few studies have assessed course along with progress in each current major producing countries. Adaptation pathways, which describe temporal sequences adaptations, are helpful for illustrating timing intensity required. Here we present pathways wheat-producing countries, based sequential introduction minimum measures wheat through 21st century....
The An-E-gs model, which consistently describes leaf photosynthesis (An), transpiration (E), and stomatal conductance (gs), is widely recognized utilized as a "standard model" for quantifying these processes in terrestrial plants. However, since its proposal over 30 years ago, the model has faced longstanding challenge: "solution selection" problem, arising from existence of multiple solutions with no guarantee that obtained solution correct. In this study, we mathematically proved always...
Abstract. MATCRO-Soy is an eco-physiological process-based crop model for soybean (Glycine max L. (Merr.)). It was developed by modifying the parameters of MATCRO-Rice. The original model, MATCRO-Rice, integrates growth processes with a land surface model. These modifications were made using data from literature and field experiments across world. reliability validated extensively observed yield global, national, grid cell levels. A moderate correlation between FAOSTAT coefficients 0.81 (p...
A method for estimating the area of crop damage due to tropical cyclones (TCs) by using fragility curves (FCs) is proposed. FCs, which represent probability caused external forces, are one considered appropriate structural natural disasters. Here, FCs applied estimate paddy rice resulting from typhoons in Japan. The assumed vary with growth stage. Statistical data on areas damaged 42 that have struck Japan between 1991 and 2007, together observed meteorological data, used derive FCs. In...
Models coupling photosynthesis (An) and stomatal conductance (Gs) have been widely used for their estimation since it was found that An Gs are correlated. Although a cubic equation can be derived from the coupled An-Gs model C3 plants method of obtaining analytical solutions has proposed, these several problems like no solutions, changes in appropriate physical biological logic selecting solution. In this study, is proposed to solve using different expression imposing requirements. The then...
Abstract Global warming is predicted to have significant impacts not only on crop productivity but also quality, leading economic loss. In the present study, focusing grain quality of rice in Japan, we assessed impact global occurrence low called ‘chalky grain’, and incurred Using 10 future climate scenarios a simulation model estimate chalky grain, showed that will double by 2040 s under RCP8.5. This corresponds one third paddy fields Japan showing decrease grade. would produce an annual...
Ascorbate in leaf apoplast (ASCapo ) reacts with ozone (O3 and thereby reduces O3 flux reaching plasmalemma (Fpl ). Some studies have shown significant protection of cells from by ASCapo , while others questioned its efficacy. Hypothesizing that the depends on other variables, we quantified determinants detoxification a model transport reaction apoplast. The determines ascorbic acid concentration (AAapo using measured values (co ), tissue (AAleaf cell wall thickness (L3 apoplastic pH (pHapo...
Abstract. Crop growth and agricultural management can affect climate at various spatial temporal scales through the exchange of heat, water, gases between land atmosphere. Therefore, simulation fluxes for from is important simulations. A surface model (LSM) combined with a crop (CGM), called an LSM-CGM model, useful tool simulating these land. we developed new paddy rice fields, MATCRO-Rice model. The main objective this paper to present full description MATCRO-Rice. most feature that it...
In Asia, where rice is a major crop, there high concern about the detrimental effects of climate change on productivity.Evaluating these effects, considering country-specific cultivars' responses to climate, needed effectively implement national adaptation plans maintain food security under change.However, date, information local cultivars used in developing countries extremely limited.In present study, we process-based crop growth model, MATCRO-Rice, predict impact yields cultivar Ciherang...
Global gridded crop models (GGCMs) are increasingly used for climate risk assessments and adaptation planning in agriculture. GGCM historical simulation performance is therefore crucial such applications. However, lower rice than other crops at an aggregated administrative unit level despite the lack of a clear difference model site level. Here, we present key factors that need to be considered spatial temporal aggregation outputs improve evaluation simulations country scale. The include...
Abstract. We conducted two types of validation for the simulations by MATCRO-Rice developed Masutomi et al. (2016). In first validation, we compared with observations latent heat flux (LHF), sensible (SHF), net carbon uptake crop, and paddy rice yield from 2003 to 2006 at site where model parameters are parameterized. second observed simulated yields over Japan 1991 2010 between simulations. The 4-year average root mean square errors (RMSEs) LHF SHF were 18.20 15.47 W m−2, respectively....