Japanese larch (Larix Kaempferi Sarg.), evergreen needle-leafed species (Pinus densiflora and Abies homolepis), deciduous broad-leafed species (Swida controversa, Quercus serrata, Quercus crispula, Betula platyphylla var.japonica, Prunus incisa, etc.)
Dominant species (Understory)
Ferns (Dryopteris crassirhizoma, Dryopteris expansa), bamboo grass (Sasamorpha borealis), and other herbs.
Canopy height
20-26 m
Age
Around 70 years old (Planted around 1950)
LAI
Larch: 2.88 m2m-2 estimated based on the leaf mass abundance (Okano & Arase 2007), and 2.4 m2m-2 estimated based on 3D portable laser scanner measurement (Maki et al., 2012), Understory: 3.0 m2m-2 (max) After thinning, the tree LAI was 2.31 in 2016.
Disturbance
As the first thinning, approximately 36% of the larch trees located more than 20 meters away from the observation tower were cut down in May 2014. The second thinning was carried out near the observation tower in March 2015. Between 2014 to 2015, approximately 39% of the larch trees were cut down, reducing the forest density from 409 trees per hectare in 2013 to 249 trees per hectare in 2015. The harvested timber and above-ground residues were removed from the site.
Soil type
Coarse volcanic ash (Urakawa et al., 2015)
Observations Eddy Covariance method (CO2)
System
Open- and closed-path systems (CO2 flux, latent heat flux)
Wind speed
Three-dimensional sonic anemometer-thermometers: DA-600-3TV, Probe TR-61C, SONIC CORP. (Jan.1, 2006- May 9, 2011); DA-650-3TV, Probe TR-61C, SONIC CORP. (May 9, 2011- Nov.22, 2011); DA-600-3TV, Probe TR-61C, SONIC CORP. (Nov.22, 2011- Apr.18, 2012); DA-700-3TV, Probe TR-61A, SONIC CORP. (Apr.18, 2012- Apr.11 2016); CSAT3, Campbell Scientific (Apr. 14, 2014-)
Air temperature
Platinum resistance thermometer and capacitive hygrometer : HMP45A, Vaisala (Jan. 2006 - May 9, 2011); HPM155A, Vaisala (May 9, 2011 - ) coupled with aspirated radiation shield, CPR-AS-21, Climatec, Japan.
Hyperbolic relaxed eddy accumulation (HREA) method with a laser-based analyzer (GGA-24r-EP, Los Gatos Research Inc., USA), from Aug. 2011 to Sep. 2012 (Ueyama et al., 2013) Automated dynamic closed (non-steady-state through-flow) chambers with a laser-based analyzer (GGE-24r-EP), from Oct. 2012 (Ueyama et al., 2015)
Measurement height
35, 28, 18, 5, and 0.3m (HREA method), 0m (chambers)
Ryuichi Hirata (hirata.ryuichi [at] nies.go.jp) Center for Global Environmental Research (CGER), Earth System Division, National Institute for Environmental Studies (NIES) 16-2 Onogawa, Tsukuba, Ibaraki 305-8506 JAPAN Tel : +81-29-850-2202 Fax : +81-29-858-2645 https://esd.nies.go.jp/en/about/organization/tm/
Automated dynamic closed chamber method (flow-through, non-steady-state design using IRGA and Integrated Cavity Output Spectroscopy (CH4/CO2))
References for method
Teramoto M., Liang N., Takahashi Y., Zeng J., Saigusa N., Ide R., Zhao X., 2019: Enhanced understory carbon flux components and robustness of net CO2 exchange after thinning in a larch forest in central Japan. Agricultural and Forest Meteorology, 274, 106-117. Teramoto M., Liang N., Zeng J., Saigusa N., Takahashi Y., 2017: Long- term chamber measurements reveal strong impacts of soil temperature on seasonal and inter-annual variation in understory CO2 fluxes in a Japanese larch (Larix kaempferi Sarg.) forest. Agricultural and Forest Meteorology, 247, 194-206.
Measuring system
A 24-channel automated chamber system (home-made by the investigator)
IRGA Integrated Cavity Output Spectroscopy
Li-820 (LI-COR), UGGA (LGR)
Flow control
High-precision flow transducer (FSM-V, CKD) and manual flow regulator
Chamber type
Clear PVC chamber
Chamber size
90cm in length × 90cm in width × 50cm in height (8 chambers for soil respiration and 8 chambers for heterotrophic respiration), and 90cm in length × 90cm in width × 100cm in height (8 chambers for net understory CO2 exchange).
Number of chambers
24
Measuring intervals
The mesurement period, during which the chamber lids were closed, was 2.5min for each chamber with data recorded at 10-s intervals using CR1000 datalogger (Campbell Scientific Inc.) from 2006 to 2009. The measurement period was 5.0min from 2010 on.
Is the ground covered by snow in winter (how about the measurement on winter?)
Missing soil CO2 efflux data (gaps) during snow covered period were estimated based on Lloyd and Taylor equation for each chamber.
Original data
Raw data
Air temperature collection
Air temperature inside each chamber was measured using the home-made T-Type thermocouple.
Soil temperature collection
Soil temperature at the depth of 5-cm inside each chamber was measured using the home-made T-Type thermocouple.
Air pressure collection
Air pressure was measured using PX2760 (Omega Engineering)
Understory PPFD collection
6 sensors (SQ225; Apogee Instruments Inc.) at the height of 1m around plant chambers
Soil moisture collection
6 CS616 (Campbell Scientific Inc.) were used for monitoring soil moisture at the depth of 10cm in 6 randomly selected chambers (two chambers for each treatment).
Other
Photosynthesis
Occasionally
Ecological Investigation
Tree heights (every 5 years), stand density (annual), diameter (annual), biomass, LAI
Phenology
Continuous (photos)
Calibration Information
Open-path analyzers were calibrated approximately every two months with standard CO2 gases and a dew point generator (LI610, LI-COR).
The gain of CO2 of the closed-path analyzers was checked once a day flowing two standard CO2 gases of 320 ppmv and 420 ppmv that were automatically controlled using a programmable data logger (CR23X during 2006-mid-2007 and CR3000 after that, both were made by Campbell Scientific, Logan, UT, USA.)
Infrastructure
Tower (35m), Electrical power (AC), Internet communications is available.
Research Fund
Global Environmental Monitoring funded by National Institute for Environmental Studies
Global Environmental Research Coordination System from Ministry of the Environment of Japan (NOU0751, NOU1251, NOU2254)
Global Environment Research Fund from Ministry of the Environment of Japan (B-3)
Environment Research and Technology Development Fund from Ministry of the Environment of Japan (2-1705, 2-2006)
Publication
Okano T., Arase T. 2007: Biomass measurement of larch forest in Fuji Hokuroku Flux Research Site, Annual Report of Global Environment Monitoring H19, Center for Global Environmental Research, National Institute for Environmental Studies. (in Japanese)
Arase T. 2012: Estimation of Seasonal Changes in the Biomass of Forest Floor Vegetation in a Larch Forest at the Northern Foot of Mt. Fuji, Japan. Journal of Environmental Information Science, 40-5, 23-30.
Maki M., Takahashi A., Okano T., OgumaH. 2012: Development of the method to estimate light environment on forest floor using 3D portable laser scanner and radiative transfer model. Journal of The Remote Sensing Society of Japan, 32-2, 77-87.
Ueyama M., Takai Y., Takahashi Y., Ide R., Hamotani K., Kosugi Y., Takahashi K., Saigusa N. 2013: High-precision measurements of the methane flux over a larch forest based on a hyperbolic relaxed eddy accumulation method using a laser spectrometer. Agricultural and Forest Meteorology, 178,183-193.
Mochizuki T., Tani A., Takahashi Y.,Saigusa N., Ueyama M. 2014: Long-term measurement of terpenoid flux above a Larix kaempferi forest using a relaxed eddy accumulation method. Atmospheric Environment 83, 53-61.
Ueyama M., Takanashi S., Takahashi Y.2014 Inferring methane fluxes at a larch forest using Lagrangian, Eulerian, and hybrid inverse models. Journal of Geophysical Research: Biogeosciences, 119 (10), 2018-2031.
Urakawa R., Ohte N., Shibata H., Tateno R., Hishi T., Fukushima K., Inagaki Y., Hirai K., Oda T., Oyanagi N., Nakata M., Toda H., Kenta T., Fukuzawa K., Watanabe T., Tokuchi N., Nakaji T., Saigusa N., Yamao Y., Nakanishi A., Enoki T., Ugawa S., Hayakawa A., Kotani A., Kuroiwa M., Isobe K. 2015: Biogeochemical nitrogen properties of forest soils in the Japanese archipelago. Ecological Research,30(1), 1-2.
Akitsu K. T., Nakaji T., Kobayashi H.,Okano T., Honda Y., Bayarsaikhan U., Terigele, Hayashi M., Hiura T., Ide R.,Igarashi S., Kajiwara K., Kumikawa S., Matsuoka Y. Nakano T., Nakano T., OkudaA., Sato T., Tachiiri K., Takahashi Y., Uchida J., Nasahara N. K. 2020: Large-scale ecological field data for satellite validation in deciduous forests and grasslands. Ecological Research, 35(6), 1009-1028.
Ueyama M., Takeuchi R., Takahashi Y.,Ide R., Ataka M., Kosugi Y., Takahashi K., Saigusa N. 2015: Methane uptake in a temperate forest soil using continuous closed-chamber measurements. Agricultural and Forest Meteorology, 213, 1-9.
Takahashi Y., Saigusa N., Hirata R., IdeR., Fujinuma Y., Okano T., Asarse T., 2015: Characteristics of temporal variations in ecosystem CO2 exchange in a temperate deciduous needle-leaf forest in the foothills of a high mountain. Journal of Agricultural Meteorology, 71(4), 302-317.
Mochizuki T., Miyazaki Y., Ono K., Wada R., Takahashi Y., Saigusa N., Kawamura K., Tani A. 2015: Emissions of biogenic volatile organic compounds and subsequent formation of secondary organic aerosols in a Larix kaempferi forest.Atmospheric Chemistry and Physics,15, 1-13.
Urakawa R., Ohte N., Shibata H., Isobe K., Tateno R., Oda T., Hishi T., Fukushima K., Inagaki Y., Hirai K., Oyanagi N., Nakata M., Toda H., Kenta T., Kuroiwa M., Watanabe T., Fukuzawa K., TokuchiN., Ugawa S., Enoki T., Nakanishi A., Saigusa N., Yamao Y., Kotani A. 2016: Factors contributing to soil nitrogen mineralization and nitrification rates of forest soils in the Japanese archipelago. Forest Ecology and Management, 361, 382-396.
Ide R., Hirose Y., Oguma H., Saigusa N.2016: Development of a masking device to exclude contaminated reflection during tower-based measurements of spectral reflectance from a vegetation canopy. Agricultural and Forest Meteorology, 223, 141-150.
Teramoto M., Liang N., Zeng J., Saigusa N., Takahashi Y., 2017: Long-term chamber measurements reveal strong impacts of soil temperature on seasonal and inter-annual variation in understory CO2 fluxes in a Japanese larch (Larix kaempferi Sarg.) forest. Agricultural and Forest Meteorology, 247, 194-206.
Teramoto M., Liang N., Takahashi Y.,Zeng J., Saigusa N., Ide R., Xin Zhao 2019: Enhanced understory carbon flux components and robustness of net CO2 exchange after thinning in a larch forest in central Japan. Agricultural and Forest Meteorology, 274, 106-117.