Estimating the age-dependent changes in carbon stocks of Scots pine (Pinus sylvestris L.) stands in Turkey

Lee, Jongyeol; Tolunay, Doğanay; Makineci, Ender; Çömez, Aydın; Son, Yeong Mo; Kim, Raehyun; Son, Yowhan

doi:10.1007/s13595-016-0546-5

Cited by 30 publications

(24 citation statements)

References 46 publications

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“…Age is the most important factor affecting the magnitude and distribution of biomass in plantation ecosystems [13,42]. With increasing stand age, the total tree, aboveground, stem and root biomass of Mongolian pine increased, displaying a linear increase in this study (Figure 4).…”

Section: Biomass Distributionmentioning

confidence: 56%

Biomass Accumulation and Carbon Sequestration in an Age-Sequence of Mongolian Pine Plantations in Horqin Sandy Land, China

Zhang

Zhang²,

Han³

et al. 2019

Forests

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The Mongolian pine (Pinus sylvestris L. var. mongolica Litv.) was first introduced to the southeastern Horqin sandy land in the mid-1950s. Since then, it has been widely planted and has become the most important conifer species in Northern China, providing significant ecological, economic and social benefits. However, its function in sequestering carbon at different developmental stages has been little studied. In this study, twenty plots inventory and destructive sampling of eight trees were conducted in 12-, 19-, 34-, 48- and 58-year-old Mongolian pine stands of China. Allometric biomass equations (ABEs) for tree components were established and used to determine the magnitude and distribution of tree biomass and carbon density. The carbon density of the understory, forest floor and soil was also determined. The ABEs with age as the second variable could simply and accurately determine the biomass of plantation tree branches, foliage and fruit, which were considerably influenced by age. With increasing stand age, the proportion of stem biomass to total tree biomass increased from 22.2% in the 12-year-old stand to 54.2% in the 58-year-old stand, and the proportion of understory biomass to total ecosystem biomass decreased, with values of 7.5%, 4.6%, 4.4%, 4.1% and 3.0% in the five stands. The biomass of the forest floor was 0.00, 1.12, 2.04, 6.69 and 3.65 Mg ha−1 in the five stands. The ecosystem carbon density was 40.2, 73.4, 92.9, 89.9 and 87.3 Mg ha−1 in the 12-, 19-, 34-, 48-, and 58-year-old stands, in which soil carbon density accounted for the largest proportion, with values of 67.4%, 76.8%, 73.2%, 63.4%, and 57.7% respectively. The Mongolian pine had the potential for carbon sequestration during its development, especially in the early stages, however, in the later growth stage, the ecosystem carbon density decreased slightly.

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Section: Biomass Distributionmentioning

confidence: 56%

Biomass Accumulation and Carbon Sequestration in an Age-Sequence of Mongolian Pine Plantations in Horqin Sandy Land, China

Zhang

Zhang²,

Han³

et al. 2019

Forests

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“…Forest carbon pools generally vary with stand age [8,40,41]; however, in our study, we focused on the old-growth stands, specifically assessing the age range of 163-218 years. Our results showed that the forest carbon pools did not change significantly over the analysed period.…”

Section: Discussionmentioning

confidence: 99%

Carbon Pools in Old-Growth Scots Pine Stands in Hemiboreal Latvia

Ķēniņa

Jaunslaviete

Liepa

et al. 2019

Forests

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Old-growth forests are widely recognised for the benefits they provide for biodiversity; however, a more comprehensive understanding of their role in climate change mitigation must still be established to find the optimal balance between different forest ecosystem services at a national or regional scale. Very few studies have assessed carbon pools in old-growth Scots pine (Pinus sylvestris L.)-dominated boreal forests, and none have been conducted in hemiboreal forests. Therefore, we assessed the carbon storage of the living tree biomass, deadwood, forest floor (soil organic horizon, including all litter and decomposed wood), and mineral soil in 25 hemiboreal old-growth (163-218 years) unmanaged Scots pine stands in Latvia. The studied stands were without known records of any major natural or human-made disturbance in the visible past. Our results show, that the total ecosystem carbon pool (excluding ground vegetation) was 291.2 ± 54.2 Mg C ha −1 , which was primarily composed of living tree biomass (59%), followed by mineral soil (31%), deadwood (5%), and the forest floor (5%). Within the studied stand age group, the total carbon pool remained stable; however, interchanges among the carbon pools, i.e., living biomass and laying deadwood, did occur.

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“…The FBDC model requires air temperature, species, and stand age as input data. This model has been applied to the temperate, tropical, and alpine regions in various developing countries (Yi et al 2013;Lee et al 2014Lee et al , 2016Lee et al , 2017Lee et al , 2018aLee et al , 2018b. The detailed description of the FBDC model can be found in the studies by Yi et al (2013) and Lee et al (2014).…”

Section: Structure Of the Forest C And N Modelmentioning

confidence: 99%

Development of a forest carbon and nitrogen model: Pilot application for a Pinus densiflora forest in Central Korea

Kim

Lee

et al. 2019

Forest Science and Technology

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This study aimed to develop a forest carbon (C) and nitrogen (N) model, known as the Forest Biomass and Dead organic matter Carbon And Nitrogen (FBDCAN), which can be useful under limited input data availability. An N module was designated with three N pools (biomass, dead organic matter, and soil inorganic N) and ten N cycle processes (N deposition, biological N fixation, N mineralization, immobilization, root N uptake, retranslocation, nitrification, N leaching, denitrification, and turnover), and then integrated into an existing forest C model. A pilot application was carried out for a Pinus densiflora forest in Gwangneung Experimental Forests (PGEF), to verify the performance and reliability of the model. The simulated net N mineralization in 2010 (69.91 kg N ha À1 yr À1 ) was within the observed range in PGEF. Furthermore, the simulated N stock (3.91 Mg N ha À1 ) based on the FBDCAN model was consistent with the observed N stock (4.13 Mg N ha À1 ) in PGEF (r 2 ¼ 0.96 to 0.99). The newly developed forest C and N model could be used for the estimation of N cycle processes, N stock, and C stock, even in regions where the input data availability is low. ARTICLE HISTORY

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Estimating the age-dependent changes in carbon stocks of Scots pine (Pinus sylvestris L.) stands in Turkey

Cited by 30 publications

References 46 publications

Biomass Accumulation and Carbon Sequestration in an Age-Sequence of Mongolian Pine Plantations in Horqin Sandy Land, China

Biomass Accumulation and Carbon Sequestration in an Age-Sequence of Mongolian Pine Plantations in Horqin Sandy Land, China

Carbon Pools in Old-Growth Scots Pine Stands in Hemiboreal Latvia

Development of a forest carbon and nitrogen model: Pilot application for a Pinus densiflora forest in Central Korea

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