Taku M. Saitoh

ORCID: 0000-0003-4667-9736
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About
Contact & Profiles
Research Areas
  • Plant Water Relations and Carbon Dynamics
  • Remote Sensing in Agriculture
  • Forest ecology and management
  • Species Distribution and Climate Change
  • Atmospheric and Environmental Gas Dynamics
  • Climate variability and models
  • Land Use and Ecosystem Services
  • Tree-ring climate responses
  • Horticultural and Viticultural Research
  • Ecology and Vegetation Dynamics Studies
  • Remote Sensing and LiDAR Applications
  • Plant Physiology and Cultivation Studies
  • Soil Carbon and Nitrogen Dynamics
  • Hydrology and Watershed Management Studies
  • Leaf Properties and Growth Measurement
  • Plant Ecology and Soil Science
  • Plant responses to elevated CO2
  • Plant and animal studies
  • Fire effects on ecosystems
  • Urban Heat Island Mitigation
  • Soil and Unsaturated Flow
  • Plant Reproductive Biology
  • Cryospheric studies and observations
  • Ecology and Conservation Studies
  • Meteorological Phenomena and Simulations

Gifu University
2016-2025

Tohoku University
2006-2021

Tokyo Metropolitan University
2021

Suzuki (Japan)
2021

The Japanese Society of Gastroenterological Surgery
2021

Hudson Institute
2021

Forestry and Forest Products Research Institute
2014

Waseda University
2010

Hokkaido Agricultural Research Center
2006

Kyushu University
2003-2005

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...

10.1002/2016jg003640 article EN Journal of Geophysical Research Biogeosciences 2017-03-17

AimsUnderstanding of the ecophysiological dynamics forest canopy photosynthesis and its spatial temporal scaling is crucial for revealing ecological response to climate change. Combined observations analyses plant ecophysiology optical remote sensing would enable us achieve these studies. In order examine utility spectral vegetation indices (VIs) assessing ecosystem-level photosynthesis, we investigated relationships between canopy-scale photosynthetic productivity reflectance over seasons 5...

10.1093/jpe/rts037 article EN Journal of Plant Ecology 2012-11-23

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...

10.1088/1748-9326/ab79e5 article EN cc-by Environmental Research Letters 2020-02-25

• Background and Aims Clonal fragments of the rhizomatous dwarf bamboo Sasa palmata, which widely predominates in temperate regions Japan, were grown under heterogeneous resource conditions such as gap understoreys or nutrient-patchy grassland. develop multiple ramets with long rhizomes appear to be physiologically integrated by translocation assimilates. The glasshouse experiment reported here was designed clarify mechanisms physiological integration nitrogen more precisely. Methods To...

10.1093/aob/mcl147 article EN Annals of Botany 2006-07-15

We examined the relationship between four vegetation indices and tree canopy phenology in an evergreen coniferous forest Japan based on observations made using a spectral radiometer digital camera at daily time step during 4 year period. The colour of surface Japanese cedar (Cryptomeria japonica) changed from yellowish-green to whitish-green late May July turned reddish-green winter. normalized difference index (NDVI), enhanced (EVI) plant area (PAI) showed no seasonality. In contrast,...

10.1080/01431161.2012.682660 article EN International Journal of Remote Sensing 2012-04-23

Forest ecosystems sequester large amounts of atmospheric CO2, and the contribution from forests in Asia is not negligible. Previous syntheses carbon fluxes Asian mainly employed estimates eddy covariance measurements, net ecosystem production (NEP), gross primary (GPP), respiration (RE); however, to understand variability within cycles, such as autotropic (AR), (NPP), litterfall, heterotrophic (HR), soil (SR) need be analyzed comprehensively conjunction with NEP, GPP, RE. Here we...

10.1016/j.agrformet.2016.10.020 article EN cc-by-nc-nd Agricultural and Forest Meteorology 2016-10-29

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...

10.5194/essd-2024-615 preprint EN cc-by 2025-02-12

Southeastern Asian tropical rain forests are among the most important biomes in terms of annual productivity and water cycling. How their hydrologic budgets altered by projected shifts precipitation is examined using a combination field measurements, global climate model (GCM) simulation output, simplified model. The developed with its primary forcing term being rainfall statistics. A main novelty this analysis that effects increased (or decreased) on cloud cover hence evapotranspiration...

10.1029/2003wr002226 article EN Water Resources Research 2004-01-01

Southeast Asian tropical rain forests are among the world's most important biomes in terms of global carbon cycling; nevertheless, impact environmental factors on ecosystem CO 2 flux remains poorly understood. One‐dimensional multilayer biosphere‐atmosphere models such as soil‐vegetation‐atmosphere transfer (SVAT) promising tools for understanding how interactions between and leaf‐level physiological parameters might canopy‐level exchange. To examine application SVAT model forests, which is...

10.1029/2005jd006676 article EN Journal of Geophysical Research Atmospheres 2006-05-27

Leaf area index (LAI) is a crucial ecological parameter that represents canopy structure and controls many ecosystem functions processes, but direct measurement long-term monitoring of LAI are difficult, especially in forests. An indirect method to estimate the seasonal pattern given forest measure attenuation photosynthetically active radiation (PAR) by then calculate Beer–Lambert law. Use this requires an PAR extinction coefficient (k), needed attenuation. However, determination k itself...

10.1080/21580103.2012.673744 article EN Forest Science and Technology 2012-04-26

Evaluation of long-term detailed cherry flowering phenology is required for a deep understanding the sensitivity spring to climate change and its effect on cultural ecosystem services. Neodani Usuzumi-zakura ( Cerasus itosakura ) famous tree in Gifu, Japan. On basis decadal information published World Wide Web, we estimated probability distributions year-to-year variability true dates first (FFL), full bloom (FFB), last (LFB), (LFL) from 1924 2024 by applying Bayesian statistical state space...

10.1371/journal.pone.0317708 article EN cc-by PLoS ONE 2025-02-05

In order to clarify the basic aerodynamic mechanisms of hovering flight dragonfly, numerical simulations unsteady viscous flow around a tandem wing configuration have been performed using three -dimensional Navier -Stokes code. The are conducted for Anax parthenope julius as typical dragonfly model. total lifting force and specific necessary power predicted by present simulation show close agreement with those observed experimentally code is furth er validated comparing results experimental...

10.2514/1.6274 article EN AIAA Journal 2004-10-01
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