Changes in net ecosystem production associated with forest fire in taiga ecosystems, near Yakutsk, Russia

Sawamoto, Takuji; Hatano, Ryusuke; Shibuya, Masato; Takahashi, K.; Исаев, А. П.; Desyatkin, Roman; Maximov, Trofim C.

doi:10.1080/00380768.2003.10410038

Cited by 10 publications

(11 citation statements)

References 22 publications

(23 reference statements)

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“…For Larix cajanderi w e used allometric functions for the aboveground biomass (AGB) from Sawamoto et al . [], as that was derived in the same study area. For the root biomass we assumed that it equals 47% of the AGB as found by Kanazawa et al .…”

Section: Methods and Datamentioning

confidence: 96%

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Comparing carbon storage of Siberian tundra and taiga permafrost ecosystems at very high spatial resolution

et al. 2015

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Permafrost-affected ecosystems are important components in the global carbon (C) cycle that, despite being vulnerable to disturbances under climate change, remain poorly understood. This study investigates ecosystem carbon storage in two contrasting continuous permafrost areas of NE and East Siberia. Detailed partitioning of soil organic carbon (SOC) and phytomass carbon (PC) is analyzed for one tundra (Kytalyk) and one taiga (Spasskaya Pad/Neleger) study area. In total, 57 individual field sites (24 and 33 in the respective areas) have been sampled for PC and SOC, including the upper permafrost. Landscape partitioning of ecosystem C storage was derived from thematic upscaling of field observations using a land cover classification from very high resolution (2 × 2 m) satellite imagery. Nonmetric multidimensional scaling was used to explore patterns in C distribution. In both environments the ecosystem C is mostly stored in the soil (≥86%). At the landscape scale C stocks are primarily controlled by the presence of thermokarst depressions (alases). In the tundra landscape, site-scale variability of C is controlled by periglacial geomorphological features, while in the taiga, local differences in catenary position, soil texture, and forest successions are more important. Very high resolution remote sensing is highly beneficial to the quantification of C storage. Detailed knowledge of ecosystem C storage and ground ice distribution is needed to predict permafrost landscape vulnerability to projected climatic changes. We argue that vegetation dynamics are unlikely to offset mineralization of thawed permafrost C and that landscape-scale reworking of SOC represents the largest potential changes to C cycling.

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Section: Methods and Datamentioning

confidence: 96%

“…A detailed description of the NMDS method is available from Kent [2011]. The analysis has been carried out using the vegan package [Oksanen et al, 2013] within the software R [R Core Team, 2015]. The function provides weighted averages for the response variables that are plotted with the sites.…”

Section: Multivariate Statistical Analysismentioning

confidence: 99%

Comparing carbon storage of Siberian tundra and taiga permafrost ecosystems at very high spatial resolution

et al. 2015

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“…ex Freyn. The soil texture is loamy, and soil organic carbon (C) content in the top 1-m layer was 13.2 kg C m −2 (Sawamoto et al 2003).…”

Section: Site Descriptionmentioning

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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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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“…(a) LAI (leaf area index) of trees and grass on 31 July, (b) annual NPP (net primary production) and annual NEE (net ecosystem exchange), (c) aboveground tree biomass, (d) tree density, and (e) carbon pool accumulation: ag, aboveground: bg, belowground: SOM, soil organic matter. Tree NPP and aboveground biomass were compared with field observations in Yakutsk: ( Kajimoto et al, 2006);~ (Sawamoto et al, 2003); * (Schulze et al, 1995);& . Sawamoto et al (2003) provided only aboveground NPP, and thus these values were converted to total tree NPP using a time trend table of calculated annual net production rates of aboveground and belowground parts for larch stands in Siberia (Usoltsev et al, 2002).…”

Section: Reconstruction Of Vegetation Structure and Functionsmentioning

confidence: 99%

“…Tree NPP and aboveground biomass were compared with field observations in Yakutsk: ( Kajimoto et al, 2006);~ (Sawamoto et al, 2003); * (Schulze et al, 1995);& . Sawamoto et al (2003) provided only aboveground NPP, and thus these values were converted to total tree NPP using a time trend table of calculated annual net production rates of aboveground and belowground parts for larch stands in Siberia (Usoltsev et al, 2002). Data from Schulze et al (1995) and Kajimoto et al (2006) are not completely independent because they were used to estimate the relationship between trunk diameter and biomass (Eqs.…”

Section: Reconstruction Of Vegetation Structure and Functionsmentioning

confidence: 99%

Simulation study of the vegetation structure and function in eastern Siberian larch forests using the individual-based vegetation model SEIB-DGVM

Sato

Kobayashi

Delbart

2010

Forest Ecology and Management

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Changes in net ecosystem production associated with forest fire in taiga ecosystems, near Yakutsk, Russia

Cited by 10 publications

References 22 publications

Comparing carbon storage of Siberian tundra and taiga permafrost ecosystems at very high spatial resolution

Comparing carbon storage of Siberian tundra and taiga permafrost ecosystems at very high spatial resolution

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

Simulation study of the vegetation structure and function in eastern Siberian larch forests using the individual-based vegetation model SEIB-DGVM

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Changes in net ecosystem production associated with forest fire in taiga ecosystems, near Yakutsk, Russia

Cited by 10 publications

References 22 publications

Comparing carbon storage of Siberian tundra and taiga permafrost ecosystems at very high spatial resolution

Comparing carbon storage of Siberian tundra and taiga permafrost ecosystems at very high spatial resolution

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

Simulation study of the vegetation structure and function in eastern Siberian larch forests using the individual-based vegetation model SEIB-DGVM

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