A5074592912- Climate change impacts on agriculture
- Climate variability and models
- Crop Yield and Soil Fertility
- Agricultural risk and resilience
- Plant Water Relations and Carbon Dynamics
- Greenhouse Technology and Climate Control
- Rice Cultivation and Yield Improvement
- Agricultural Economics and Policy
- Water-Energy-Food Nexus Studies
- Hydrology and Watershed Management Studies
- Plant and animal studies
- Plant responses to elevated CO2
- Aluminum toxicity and tolerance in plants and animals
- Irrigation Practices and Water Management
- Insect and Pesticide Research
- Soil Carbon and Nitrogen Dynamics
- Global Energy and Sustainability Research
- Climate Change Policy and Economics
- Silicon Effects in Agriculture
- Hydrology and Drought Analysis
- Water resources management and optimization
- Soil and Unsaturated Flow
- Insect and Arachnid Ecology and Behavior
- Atmospheric and Environmental Gas Dynamics
- Sustainable Agricultural Systems Analysis
National Agriculture and Food Research Organization
2016-2025
National Institute for Agro-Environmental Sciences
2013-2023
Kyushu University
2007-2016
Kyoto University
2012
Abstract. Crop models are increasingly used to simulate crop yields at the global scale, but so far there is no general framework on how assess model performance. Here we evaluate simulation results of 14 gridded modeling groups that have contributed historic yield simulations for maize, wheat, rice and soybean Global Gridded Model Intercomparison (GGCMI) Agricultural Improvement Project (AgMIP). Simulation compared reference data global, national grid cell scales performance with respect...
Global impact models represent process-level understanding of how natural and human systems may be affected by climate change. Their projections are used in integrated assessments Here we test, for the first time, systematically across many important systems, well such capture impacts extreme conditions. Using 2003 European heat wave drought as a historical analogue comparable events future, find that majority underestimate extremeness sectors agriculture, terrestrial ecosystems,...
Requirement of mineral elements in different plant tissues is not often consistent with their transpiration rate; therefore, plants have developed systems for preferential distribution to the developing low transpiration. Here we took silicon (Si) as an example and revealed efficient system Si node rice (Oryza sativa). Rice able accumulate more than 10% dry weight husk, which required protecting grains from water loss pathogen infection. However, it has been unknown a long time how this...
Abstract Aim Recent changes in crop yields have implications for future global food security, which are likely to be affected by climate change. We developed a spatially explicit dataset of historical maize, soybean, rice and wheat explore the mean, year‐to‐year variation annual rate change period 1982–2006. Location This study was conducted at scale. Methods modelled spatial patterns grid size 1.125° combining agricultural datasets related calendar harvested area 2000, country yield...
Abstract The Global Gridded Crop Model Intercomparison (GGCMI) phase 1 dataset of the Agricultural and Improvement Project (AgMIP) provides an unprecedentedly large crop model simulations covering global ice-free land surface. consists annual data fields at a spatial resolution 0.5 arc-degree longitude latitude. Fourteen modeling groups provided output for up to 11 historical input datasets spanning 1901 2012, three different management harmonization levels. Each group submitted 15 crops 14...
Silicon (Si) uptake by the roots is mediated two different transporters, Lsi1 (passive) and Lsi2 (active), in rice (Oryza sativa). Both transporters are polarly localized plasma membranes of exodermal (outer) endodermal (inner) cells with Casparian strips. However, it unknown how able to take up large amounts Si compared other plants, why have a characteristic cellular localization pattern. To answer these questions, we simulated developing mathematical model based on simple diffusion...
Rice is able to accumulate high concentrations of silicon (Si) in the shoots, and this ability required for mitigation abiotic biotic stresses. Although transporters Si uptake have been identified, a transporter xylem loading has not found. We functionally characterized transporter, OsLsi3, terms tissue-specific localization, knockout line phenotype mathematic simulation. OsLsi3 was shown be an efflux transporter. mainly expressed mature root region, its expression downregulated by Si....
The future increase of large-scale weather disasters resulting from the increased frequency extreme events caused by climate change is a matter concern. Predicting flood damage through statistical analysis requires accurate modeling relationship between historical precipitation and damage. An that considers as time series may be appropriate for this purpose. Functional data was applied to model daily river basins in Kanto Koshin regions Japan. Flood statistics national government 1-km grid...
Abstract Understanding the effects of climate change is vital for food security. Among most important environmental impacts direct effect increased atmospheric carbon dioxide concentration ([CO 2 ]) on crop yields, known as CO fertilization effect. Although several statistical studies have estimated past temperature and precipitation yield at regional scales, impact not well known. We evaluated how soybean yields been enhanced by historical [CO ] increases in three major soybean-producing...
In humid forests in Southeast Asia, many species from dozens of plant families flower gregariously and fruit synchronously at irregular multi-year intervals1-4. Little is known about how climate change will impact these community-wide mass reproductive events. Here, we perform a comprehensive analysis phenology its environmental drivers based on monthly record 210 41 Peninsular Malaysia. We find that the proportion flowering fruiting decreased 1976 to 2010. Using model, 57% Dipterocarpaceae...
This study proposes the stochastic weather generator (WG)‐based bootstrap approach to provide probabilistic climate change information on mean precipitation as well extremes, which applies a WG (i.e., LARS‐WG) daily under present‐day and future conditions derived from dynamical statistical downscaling models. Additionally, intercompares scenarios multimodel ensemble for Japan focusing five indices (mean precipitation, MEA; number of wet days, FRE; amount per day, INT; maximum consecutive dry...
Abstract It is now widely recognized that climate change affects multiple sectors in virtually every part of the world. Impacts on one sector may influence other sectors, including seemingly remote ones, which we call “interconnections risks.” While a substantial number risks are identified Intergovernmental Panel Climate Change Fifth Assessment Report, there have been few attempts to explore interconnections between them comprehensive way. To fill this gap, developed methodology for...
Abstract. Future changes in the climate system could have significant impacts on natural environment and human activities, which turn affect system. In interaction between systems under change conditions, land use is one of elements that play an essential role. On hand, future will availability water food, may impact land-use change. other human-induced can through biogeophysical biogeochemical effects. To investigate these interrelationships, we developed MIROC-INTEG-LAND (MIROC INTEGrated...