A5087995810- Plant Water Relations and Carbon Dynamics
- Land Use and Ecosystem Services
- Climate change and permafrost
- Forest Management and Policy
- Fire effects on ecosystems
- Environmental Impact and Sustainability
- Atmospheric and Environmental Gas Dynamics
- Global Urban Networks and Dynamics
- Forest ecology and management
- Urban Planning and Governance
- Climate variability and models
- Energy and Environment Impacts
- Cryospheric studies and observations
- Forest Biomass Utilization and Management
- Landslides and related hazards
- Urban and spatial planning
- Plant responses to elevated CO2
- Conservation, Biodiversity, and Resource Management
- Atmospheric chemistry and aerosols
- Remote Sensing in Agriculture
- Biofuel production and bioconversion
- Disaster Management and Resilience
- Cultural Industries and Urban Development
- Remote Sensing and LiDAR Applications
- Bioenergy crop production and management
Osaka University
2014-2024
Hitotsubashi University
1994-2021
Graduate School USA
2015-2020
Science Council of Japan
2015-2018
Centre for Sustainable Energy
2014
Hokkaido University
1993-1998
United States Department of Agriculture
1994
Abstract The lack of a standardized database eddy covariance observations has been an obstacle for data‐driven estimation terrestrial CO 2 fluxes in Asia. In this study, we developed such using 54 sites from various databases by applying consistent postprocessing gross primary productivity (GPP) and net ecosystem exchange (NEE). Data‐driven was conducted machine learning algorithm: support vector regression (SVR), with remote sensing data 2000 to 2015 period. Site‐level evaluation the...
Abstract Rising atmospheric CO 2 concentration ([CO ]) enhances photosynthesis and reduces transpiration at the leaf, ecosystem, global scale via fertilization effect. The effect is among most important processes for predicting terrestrial carbon budget future climate, yet it has been elusive to quantify. For evaluating on land transpiration, we developed a technique that isolated this from other confounding effects, such as changes in using noisy time series of observed land-atmosphere...
The negative sample selection method is a key issue in studies of using machine learning approaches to spatially assess natural hazards. Recently, Repeatedly Random Undersampling (RRU) was proposed address the randomness problem faced Single Sampling. However, RRU cannot guarantee that generated classifier has best classification performance during repeatedly random sampling process. To this weakness, study we an optimized RRU, which follows idea and then changing its rule find classifier....
To promote Bio-Energy with Carbon dioxide Capture and Storage (BECCS), which aims to replace fossil fuels bio energy store carbon underground, Reducing Emissions from Deforestation forest Degradation (REDD+), reduce the emissions produced by degradation, it is important build management plans based on scientific prediction of dynamics. For Measurement, Reporting Verification (MRV) at an individual tree level, expected that techniques will be developed support via effective monitoring changes...
The selection of a suitable discretization method (DM) to discretize spatially continuous variables (SCVs) is critical in ML-based natural hazard susceptibility assessment. However, few studies start consider the influence due selected DMs and how efficiently select DM for each SCV. These issues were well addressed this study. information loss rate (ILR), an index based on entropy, seems can be used optimal ILR fails show actual because such only considers total amount discretized departing...
Abstract. Eddy covariance observations play a pivotal role in understanding the land–atmosphere exchange of energy, water, carbon dioxide (CO2), and other trace gases, as well global cycle earth system. To promote networking individual measurements sharing data, FLUXNET links regional networks researchers studying processes. JapanFlux was established 2006 country branch AsiaFlux. Despite growing number shared data globally, availability Asia is currently limited. In this study, we developed...
Abstract. Larch forests are widely distributed across many cool-temperate and boreal regions, they expected to play an important role in global carbon water cycles. Model parameterizations for larch still contain large uncertainties owing a lack of validation. In this study, process-based terrestrial biosphere model, BIOME-BGC, was tested at six AsiaFlux sites used identify environmental factors that affect the cycles both temporal spatial scales. The model simulation performed with default...
Since the 1980s, more complicatedly interwoven forces of globalized capital, central and local states, growth‐oriented actors have produced not a single form but variations global city formation. In reconstruction process postindustrial cities, concept globalization does necessarily provide dominating self‐sufficient story, actually acts as symbolic catalyst which stimulates them to establish new urban regime on basis exclusive political powers. This article investigates why Tokyo, though...
Thermal and hydrological conditions in the active layer were investigated at a mature larch forest an experimental cutover, to clarify characteristics of heat water budget assess influence clear‐cutting on permafrost conditions. Clear‐cutting enhanced ground thawing difference thickness between cutover after 1 year was 14 cm. The soil content drastically decreased forest, while that retained during first thaw season clear‐cutting. Although flux continued increase (the total amounts sites...
When developing a sustainable local energy system, it is useful to apply backcasting help select an appropriate renewable mix based on evaluation by diverse stakeholders of multiple possible implementation impacts. The purpose this study was propose co-creative design support method for systems that includes (1) participatory development future vision, (2) quantitative projection demand coupled with (3) multi-objective optimization regional consistent the and (4) process encompasses resident...
In Thailand, Napier grass is expected to play an important role as energy resource for future power generation. To accomplish this goal, numerous areas are required plantations. Before introducing crops, the land potential of country and impact crops on environment should be assessed. The soil water assessment tool (SWAT) model very useful in investigating crop impacts potential. Unfortunately, growth parameters yet identified and, thus, conducting effective analysis has not been possible....
Abstract The frequent occurrence of wildfires presents a serious threat to human livelihoods and local ecosystems. use machine learning (ML) methods assess wildfire susceptibility can provide decision support for disaster prevention. However, most current ML‐based assessments overly focus on spatially evaluating the threat, while ignoring potential threats This situation makes it difficult determine seasonal variations in limits value assessment results. We present framework seasonally...
Permafrost landscape dynamics were investigated between 1998 and 2012 at Neleger, near Yakutsk, in central Yakutia, to determine the effects on permafrost of clear cutting larch forest. Changes ground temperature, soil moisture, seasonal thaw depth surface subsidence a control (forest) site cleared forest associated with vegetation recovery climate change. Before (1998–2000), temperatures similar 1998–2012 average. After (2001–04), decreased undisturbed site, but increased site. The thermal...
Napier grass is a promising energy crop owing to its advantages over other crops; however, when determining sites for the power plants utilizing as feedstock, relevant data are required. The spatial distribution of dry matter yield (DMY) among these important data. Unlike agricultural residues, DMY cannot be obtained through surveys or statistical In this study, methodology locating biogas feedstock proposed. A geographic information system and analytic hierarchy process used evaluate land...