A multi-site approach toward assessing the effect of thinning on soil carbon contents across temperate pine, oak, and larch forests

Kim, Seong-Jun; Kim, Choonsig; Han, Seung Hyun; Lee, Sang Tae; Son, Yowhan

doi:10.1016/j.foreco.2018.04.040

Cited by 16 publications

(13 citation statements)

References 46 publications

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“…The IPCC guidelines do not stipulate default values in regard to the carbon stock of soil and dead organic matter, which do not change in the Tier 1 method; therefore, comparison with our results was not possible. The litter carbon stock was similar to the ranges indicated by previous studies focused on Korean forests; for example, Kim et al [29] reported that the litter carbon stock (Mg C/ha) in Korean forests ranges from 6.7 to 8.5 for pine forests, 4.6 to 5.0 for oak forests, and 6.5 to 7.0 for larch forests [29]. Other studies have reported litter carbon stocks of 7.2 for coniferous forests and 4.8 for deciduous forests at the national scale [11], as litter carbon stocks are generally given to be higher for coniferous species than for deciduous species [11,29].…”

Section: Development and Implications Of Country-specific Emission Fasupporting

confidence: 86%

“…The litter carbon stock was similar to the ranges indicated by previous studies focused on Korean forests; for example, Kim et al [29] reported that the litter carbon stock (Mg C/ha) in Korean forests ranges from 6.7 to 8.5 for pine forests, 4.6 to 5.0 for oak forests, and 6.5 to 7.0 for larch forests [29]. Other studies have reported litter carbon stocks of 7.2 for coniferous forests and 4.8 for deciduous forests at the national scale [11], as litter carbon stocks are generally given to be higher for coniferous species than for deciduous species [11,29]. Furthermore, the literature shows that litter carbon stock is influenced by the varying composition and decomposition rates of different species [30,31].…”

Section: Development and Implications Of Country-specific Emission Fasupporting

confidence: 86%

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Estimation of Forest Carbon Stocks for National Greenhouse Gas Inventory Reporting in South Korea

Lee

Yim

Son

et al. 2018

Forests

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The development of country-specific emission factors in relation to the Agriculture, Forestry, and Other Land Use (AFOLU) sector has the potential to improve national greenhouse gas inventory systems. Forests are carbon sinks in the AFOLU that can play an important role in mitigating global climate change. According to the United Nations Framework Convention on Climate Change (UNFCCC), signatory countries must report forest carbon stocks, and the changes within them, using emission factors from the Intergovernmental Panel on Climate Change (IPCC) or from country-specific values. This study was conducted to estimate forests carbon stocks and to complement and improve the accuracy of national greenhouse gas inventory reporting in South Korea. We developed country-specific emissions factors and estimated carbon stocks and their changes using the different approaches and methods described by the IPCC (IPCCEF: IPCC default emission factors, CSFT: country-specific emission factors by forest type, and CSSP: country-specific emission factors by species). CSFT returned a result for carbon stocks that was 1.2 times higher than the value using IPCCEF. Using CSSP, CO2 removal was estimated to be 60,648 Gg CO2 per year with an uncertainty of 22%. Despite a reduction in total forest area, forests continued to store carbon and absorb CO2, owing to differences in the carbon storage capacities of different forest types and tree species. The results of this study will aid estimations of carbon stock changes and CO2 removal by forest type or species, and help to improve the completeness and accuracy of the national greenhouse gas inventory. Furthermore, our results provide important information for developing countries implementing Tier 2, the level national greenhouse gas inventory systems recommended by the IPCC.

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Section: Development and Implications Of Country-specific Emission Fasupporting

confidence: 86%

Section: Development and Implications Of Country-specific Emission Fasupporting

confidence: 86%

Estimation of Forest Carbon Stocks for National Greenhouse Gas Inventory Reporting in South Korea

Lee

Yim

Son

et al. 2018

Forests

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“…It has been demonstrated that the management of forests can positively influence C sequestration [8][9][10]. The rate of growth for tree biomass can be increased by active management; therefore, the potential C sequestration rates in managed forests might increase too [11].…”

Section: Introductionmentioning

confidence: 99%

“…Thinning enhances tree growth and the early productivity of forests [12], while soil C might exhibit initial losses with a later recovery once the canopy cover is restored [7]. The rates of C sequestration and storage in forest plantations managed by selective harvesting might, in the long term, exceed those of unmanaged forest plantations [10,11]. However, most of the studies about the influence of thinning on long-term forest C sequestration have been performed in northern latitudes and for mature forest, while there are few studies in semiarid ecosystems or for forest plantations (but see [13][14][15]).…”

Section: Introductionmentioning

confidence: 99%

Airborne Laser Scanning Cartography of On-Site Carbon Stocks as a Basis for the Silviculture of Pinus Halepensis Plantations

et al. 2018

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Forest managers are interested in forest-monitoring strategies using low density Airborne Laser Scanning (ALS). However, little research has used ALS to estimate soil organic carbon (SOC) as a criterion for operational thinning. Our objective was to compare three different thinning intensities in terms of the on-site C stock after 13 years (2004–2017) and to develop models of biomass (Wt, Mg ha−1) and SOC (Mg ha−1) in Pinus halepensis forest, based on low density ALS in southern Spain. ALS was performed for the area and stand metrics were measured within 83 plots. Non-parametric kNN models were developed to estimate Wt and SOC. The overall C stock was significantly higher in plots subjected to heavy or moderate thinning (101.17 Mg ha−1 and 100.94 Mg ha−1, respectively) than in the control plots (91.83 Mg ha−1). The best Wt and SOC models provided R2 values of 0.82 (Wt, MSNPP) and 0.82 (SOC-S10, RAW). The study area will be able to stock 134,850 Mg of C under a non-intervention scenario and 157,958 Mg of C under the heavy thinning scenario. High-resolution cartography of the predicted C stock is useful for silvicultural planning and may be used for proper management to increase C sequestration in dry P. halepensis forests.

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“…Soil organic carbon (SOC) can be stored in soils for thousands of years under, suitable conditions, and is a vital component of plant nutrient cycles [7]. Forest management aimed at increasing stand growth has been shown to be effective in increasing the C sequestration capacity [8,9]. Thinning treatments improve health and tree vigor, increasing forest productivity [10], while the soil C content shows a slight decrease in the first stages, recovering its level and increasing once the canopy is restored [11].Accurate estimation of forest biomass to produce spatially explicit mapping of forest C stocks over large study areas is of considerable interest nowadays [12].…”

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confidence: 99%

Assessment of the Carbon Stock in Pine Plantations in Southern Spain through ALS Data and K-Nearest Neighbor Algorithm Based Models

Navarrete-Poyatos

Navarro-Cerrillo

Lara-Gómez³

et al. 2019

Geosciences

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Accurate estimation of forest biomass to enable the mapping of forest C stocks over large areas is of considerable interest nowadays. Airborne laser scanning (ALS) systems bring a new perspective to forest inventories and subsequent biomass estimation. The objective of this research was to combine growth models used to update old inventory data to a reference year, low-density ALS data, and k-nearest neighbor (kNN) algorithm Random Forest to conduct biomass inventories aimed at estimating the C sequestration capacity in large Pinus plantations. We obtained a C stock in biomass (W t -S) of 12.57 Mg·ha −1 , ranging significantly from 19.93 Mg·ha −1 for P. halepensis to 49.05 Mg·ha −1 for P. nigra, and a soil organic C stock of the composite soil samples (0-40 cm) ranging from 20.41 Mg·ha −1 in P. sylvestris to 37.32 Mg·ha −1 in P. halepensis. When generalizing these data to the whole area, we obtained an overall C-stock value of 48.01 MgC·ha −1 , ranging from 23.96 MgC·ha −1 for P. halepensis to 58.09 MgC·ha −1 for P. nigra. Considering the mean value of the on-site C stock, the study area sustains 1,289,604 Mg per hectare (corresponding to 4,732,869 Mg CO 2 ), with a net increase of 4.79 Mg·ha −1 ·year −1 . Such C cartography can help forest managers to improve forest silviculture with regard to C sequestration and, thus, climate change mitigation.In addition to biomass, C is also stored in litter and forest soils. In fact, soils are the largest reservoir of terrestrial C, for both organic and inorganic forms [6]. Soil organic carbon (SOC) can be stored in soils for thousands of years under, suitable conditions, and is a vital component of plant nutrient cycles [7]. Forest management aimed at increasing stand growth has been shown to be effective in increasing the C sequestration capacity [8,9]. Thinning treatments improve health and tree vigor, increasing forest productivity [10], while the soil C content shows a slight decrease in the first stages, recovering its level and increasing once the canopy is restored [11].Accurate estimation of forest biomass to produce spatially explicit mapping of forest C stocks over large study areas is of considerable interest nowadays [12]. In this regard, the field-based inventory is the most common method for evaluating the dendrometric characteristics and stand dynamics of forests. These classic forest inventories have a high demand for labor, are expensive, and require lots of field plots to obtain full inventory data for large areas on the ground [13,14]. Thus, with the advances in remote sensing techniques, these traditional methods are being replaced or supplemented with Light Detection and Ranging (LiDAR) techniques, which provide stand data over large areas, optimizing time and costs. LiDAR technology brings a new perspective to forest inventories by directly providing three-dimensional information on the entire surface [12].LiDAR (Laser Imaging Detection and Ranging) systems from an airborne platform (airborne laser scanning, ALS) are equipped with a scanning device th...

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A multi-site approach toward assessing the effect of thinning on soil carbon contents across temperate pine, oak, and larch forests

Cited by 16 publications

References 46 publications

Estimation of Forest Carbon Stocks for National Greenhouse Gas Inventory Reporting in South Korea

Estimation of Forest Carbon Stocks for National Greenhouse Gas Inventory Reporting in South Korea

Airborne Laser Scanning Cartography of On-Site Carbon Stocks as a Basis for the Silviculture of Pinus Halepensis Plantations

Assessment of the Carbon Stock in Pine Plantations in Southern Spain through ALS Data and K-Nearest Neighbor Algorithm Based Models

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