Change of Carbon Dioxide Budget during Three Years after Deforestation in Eastern Siberian Larch Forest

Machimura, Takashi; Kobayashi, Yoshikazu; lWAHANA, Go; Hirano, Takashi; Lopez, Larry; Fukuda, Masami; Федоров, А. Л.

doi:10.2480/agrmet.653

Cited by 31 publications

(32 citation statements)

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“…NLG is a L. cajanderi forest located about 25 km northwest of Yakutsk (Machimura et al 2005(Machimura et al , 2008. The forest is on continuous permafrost, with an active layer depth of approximately 1.0 m. The average and maximum tree heights are 8.6 and 21 m, respectively, and the density is 2100 trees ha −1…”

Section: Site Descriptionmentioning

confidence: 99%

“…Larix species also have been planted intensively throughout northern Japan and China, because of their high cold tolerance and timber productivity (Hirata et al 2007). For these reasons, it is important to gain a comprehensive understanding of the carbon and energy exchange characteristics of larch forests (Li et al 2005;Machimura et al 2005;Wang et al 2005b;Hirata et al 2007;Nakai et al 2008;Ohta et al 2008).…”

Section: Introductionmentioning

confidence: 99%

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Spatial and seasonal variations of CO₂flux and photosynthetic and respiratory parameters of larch forests in East Asia

Takagi

Hirata

Ide

et al. 2015

Soil Science and Plant Nutrition

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Larch (Larix spp.) forests are predominantly distributed across high latitudes of Eurasia. They potentially have a strong influence on the terrestrial carbon and energy cycles, because of their vast area and the large carbon stocks in their peat soils in the permafrost. In this study, we elucidated intersite variation of ecosystem photosynthetic and respiratory parameters of eight larch forests in East Asia using the CarboEastAsia carbon flux and micrometeorology dataset. These parameters were determined using the empirical relationship between the carbon fluxes (photosynthesis and respiration) and micrometeorological variables (light and temperature). In addition, we examined leaf area index (LAI) determined by Moderate Resolution Imaging Spectroradiometer (MODIS) remote sensing data to explain the intersite variation. Linear or exponential relationships with annual mean temperature or seasonal maximum LAI at the study sites were found for the annual carbon fluxes (gross primary production [GPP] and total ecosystem respiration [RE]) as well as for four of the five seasonal maximum values of determined photosynthetic and respiratory parameters (maximum GPP at light saturation, initial slope of the light-response curve, daytime respiration, and RE at the reference temperature of 10°C). Phenological indices, such as start day of the growing season, growing season length and growing season degree days explained much of the intersite variation of GPP and RE of the studied larch forests; however, the relationship between MODIS LAI and photosynthetic or respiratory parameters implies that the intersite variation in GPP and RE was caused not only by the temperature variation (abiotic factor), but also by the variation in the photosynthetic and respiration activity by vegetation (biotic factor) through the change in leaf (or whole vegetation) biomass. Our analysis shows that MODIS LAI serves as a good index to explain the variation of the ecosystem photosynthetic and respiratory characteristics of East Asian larch forests.

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Section: Site Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatial and seasonal variations of CO₂flux and photosynthetic and respiratory parameters of larch forests in East Asia

Takagi

Hirata

Ide

et al. 2015

Soil Science and Plant Nutrition

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“…Thus, we conclude that the high productivity of understory vegetation was the changed primary component responsible for the low carbon emission induced by the clear-cutting at our site. In fact, the abundant and fast growing understory species always weaken the emission induced by clear-cutting and shorten the term of carbon source after clear-cutting (Kowalski et al, 2003;Machimura et al, 2005;Takagi et al, 2009). Clear-cutting effect on ER appeared less drastic than that on GEP (Clark et al, 2004;Humphreys et al, 2005;Takagi et al, 2009).…”

Section: Clear-cutting Effects On Carbon Fluxesmentioning

confidence: 96%

“…In the boreal forests of Canada, the CO 2 emission in the first year after clear-cutting ranged from $200 to $600 g-C m À2 yr À1 (Howard et al, 2004;Humphreys et al, 2005;Machimura et al, 2005;Zha et al, 2009); it took $10 years before it turned back into a net sink of CO 2 (Fredeen et al, 2007;Howard et al, 2004;Kurz and Apps, 1994;Zha et al, 2009). Similarly in Finland, the 4-year-old stand after clear-cutting was still a source of carbon throughout the year (386 g-C m À2 yr À1 ), while the 12-year-old stand was nearly neutral (Kolari et al, 2004).…”

Section: Clear-cutting Effects On Carbon Fluxesmentioning

confidence: 99%

“…Clear-cutting is a traditional harvest practice that is widely applied in forest management throughout the world (Keenan and Kimmins, 1993;Ma et al, 2013;Rosenvald and Lohmus, 2008). Numerous studies have reported that clearcutting turned the ecosystem from carbon sinks to carbon sources (Fredeen et al, 2007;Machimura et al, 2005;Takagi et al, 2009). The carbon emission after clear-cutting ranged from 200 to 1300 g-C m À2 yr À1 (Clark et al, 2004;Kowalski et al, 2004;Takagi et al, 2009), and the emission state lasted for either 3-10 years (Clark et al, 2004;Fredeen et al, 2007) or even 20 years (Law et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

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Ecosystem carbon (CO2 and CH4) fluxes of a Populus dettoides plantation in subtropical China during and post clear-cutting

Shenghua

Chen

Tang

et al. 2015

Forest Ecology and Management

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a b s t r a c tPoplar plantations have widely spread around the world due to its high productivity and adaptability. Clear-cutting is the primary harvesting method for poplar plantation management in southern China. However, the effect of harvesting on ecosystem carbon fluxes limits our ability to estimate its carbon sequestration. A consecutive, three-year observation on ecosystem CO 2 and CH 4 flux (F CO2 and F CH4 ) of a Populus dettoides plantation on the floodplain of Yangtze River was made prior and post to the clearcutting using an eddy-covariance system. We found that clear-cutting turned the ecosystem from a strong carbon sink to a mediate carbon source only in several months, July to next January, after the harvest. The ecosystem turned to a net carbon sink at the beginning of the first growing season following clear-cutting due to the large productivity of understory vegetation in this region. The annual carbon budget was À424.3 ± 52.5 g-C m À2 (95% confidence interval) in the harvesting year, with À53.6 ± 22.8 g-C m À2 the first year and À290.7 ± 34.2 g-C m À2 the second year after clear-cutting. Clear-cutting turned the ecosystem from a net CH 4 sink to a net CH 4 source after the third month, but during the three years the CH 4 emission only balanced out a very small portion (0.3%) of F CO2 . In noninundation periods, F CH4 varied from À0.01 to 0.24 mmol m À2 d À1 , with a mean (±SD) of 0.11 ± 0.08 mmol m À2 d À1 , while it ranged from 0.33 to 4.39 mmol m À2 d À1 during inundation, with a mean (±SD) of 2.17 ± 1.16 mmol m À2 d À1 . Daily and weekly F CH4 during non-inundation period were highly correlated with ground water table, soil moisture, and friction velocity, while F CH4 during inundation depended on inundation depth.

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New data‐driven estimation of terrestrial CO₂ fluxes in Asia using a standardized database of eddy covariance measurements, remote sensing data, and support vector regression

et al. 2017

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The lack of a standardized database of eddy covariance observations has been an obstacle for data‐driven estimation of terrestrial CO2 fluxes in Asia. In this study, we developed such a standardized database using 54 sites from various databases by applying consistent postprocessing for data‐driven estimation of gross primary productivity (GPP) and net ecosystem CO2 exchange (NEE). Data‐driven estimation was conducted by using a machine learning algorithm: support vector regression (SVR), with remote sensing data for 2000 to 2015 period. Site‐level evaluation of the estimated CO2 fluxes shows that although performance varies in different vegetation and climate classifications, GPP and NEE at 8 days are reproduced (e.g., r2 = 0.73 and 0.42 for 8 day GPP and NEE). Evaluation of spatially estimated GPP with Global Ozone Monitoring Experiment 2 sensor‐based Sun‐induced chlorophyll fluorescence shows that monthly GPP variations at subcontinental scale were reproduced by SVR (r2 = 1.00, 0.94, 0.91, and 0.89 for Siberia, East Asia, South Asia, and Southeast Asia, respectively). Evaluation of spatially estimated NEE with net atmosphere‐land CO2 fluxes of Greenhouse Gases Observing Satellite (GOSAT) Level 4A product shows that monthly variations of these data were consistent in Siberia and East Asia; meanwhile, inconsistency was found in South Asia and Southeast Asia. Furthermore, differences in the land CO2 fluxes from SVR‐NEE and GOSAT Level 4A were partially explained by accounting for the differences in the definition of land CO2 fluxes. These data‐driven estimates can provide a new opportunity to assess CO2 fluxes in Asia and evaluate and constrain terrestrial ecosystem models.

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Change of Carbon Dioxide Budget during Three Years after Deforestation in Eastern Siberian Larch Forest

Cited by 31 publications

References 5 publications

Spatial and seasonal variations of CO₂flux and photosynthetic and respiratory parameters of larch forests in East Asia

Spatial and seasonal variations of CO₂flux and photosynthetic and respiratory parameters of larch forests in East Asia

Ecosystem carbon (CO2 and CH4) fluxes of a Populus dettoides plantation in subtropical China during and post clear-cutting

New data‐driven estimation of terrestrial CO₂ fluxes in Asia using a standardized database of eddy covariance measurements, remote sensing data, and support vector regression

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Change of Carbon Dioxide Budget during Three Years after Deforestation in Eastern Siberian Larch Forest

Cited by 31 publications

References 5 publications

Spatial and seasonal variations of CO2flux and photosynthetic and respiratory parameters of larch forests in East Asia

Spatial and seasonal variations of CO2flux and photosynthetic and respiratory parameters of larch forests in East Asia

Ecosystem carbon (CO2 and CH4) fluxes of a Populus dettoides plantation in subtropical China during and post clear-cutting

New data‐driven estimation of terrestrial CO2 fluxes in Asia using a standardized database of eddy covariance measurements, remote sensing data, and support vector regression

Contact Info

Product

Resources

About

Spatial and seasonal variations of CO₂flux and photosynthetic and respiratory parameters of larch forests in East Asia

Spatial and seasonal variations of CO₂flux and photosynthetic and respiratory parameters of larch forests in East Asia

New data‐driven estimation of terrestrial CO₂ fluxes in Asia using a standardized database of eddy covariance measurements, remote sensing data, and support vector regression