scholarly journals Forest carbon stock in Left-bank Forest-Steppe of Ukraine according to intensive forest monitoring data

Author(s):  
Volodymyr Pasternak ◽  
Tetiana Pyvovar ◽  
Volodymyr Yarotsky

The issues of carbon stock and dynamic in different carbon pools in forest stands of Left-bank Forest-steppe of Ukraine are considered. The aim of the study was to evaluate carbon stocks and their changes in main pools: trees biomass and mortmass. Data of two repeated observations on 19 permanent intensive forest monitoring plots in Kharkiv and Sumy regions were used. Conversion method was used. Study of increment and mortality dynamics at monitoring plots showed, that two processes impact carbon balance: biotic damage which leads to trees dieback, and partial removal of dead wood from stands. Oak stands have, on average, higher carbon stock in trees biomass and mortmass (102.9 t С ha-1) than the pine stands (98.7 t С ha-1), which is associated with a higher representation of mature and overmature oak stands. While comparison by age classes showed that pine stands, in general, have higher values of C in trees biomass, due to higher productivity. The increase in carbon stocks with age is observed. The annual change of C stock in trees biomass is the highest in younger stands, and it decreases with age; while in mortmass it increases. Mature and overmature oak stands have negative trees biomass and positive dead wood growth. At age 81-100 years oak forest stands have higher carbon storage capacity than pine (total carbon stock in main pools (biomass, mortmass, litter and soils (30-cm layer)) is 191.7 t C ha-1 for oak and 175.4 t C ha-1 for pine stands). Trees biomass carbon prevails among other pools (50.3 % in oak forests, and 57.6% in pine), the next is soil carbon pool (45.9 and 29.0%, respectively). National forest inventory will provide data for assessments of carbon stocks and dynamics in trees biomass and mortmass pools. However, forest soil monitoring is necessary to evaluate carbon pools in soils and litter.

2020 ◽  
Vol 3 (1) ◽  
pp. 29
Author(s):  
Volodymyr Pasternak ◽  
Tetiana Pyvovar ◽  
Volodymyr Yarotsky

In Ukraine, carbon stocks in forests are assessed by the gain-loss method since the national forest inventory is under development now. For the evaluation of main pools of oak and pine forest stands, typical for the Forest-steppe of Ukraine, the stock-difference method was used for the data of repeated observations on 18 intensive forest monitoring plots. The average carbon stock in the phytomass was 94.1 ± 19.8 tC·ha−1 and 93.4 ± 12.8 tC·ha−1, while in the deadwood, it was 8.8 ± 7.3 tC·ha−1 and 5.3 ± 4.3 tC·ha−1 for oak and pine forest stands, respectively. In terms of age classes, pine stands, due to their higher productivity, in general, had a higher carbon (C) stock in phytomass compared to oak. C stock changes in trees phytomass were the highest in younger stands, and they decreased with age, while in deadwood, they increased. At age 81–100 years, oak forest stands had higher carbon storage capacity than pine (total stock in main pools (phytomass, mortmass, and soils (30-cm layer)) was 191.7 tC·ha−1 for oak and 175.4 tC·ha−1 for pine stands). Trees phytomass carbon prevailed among other pools (50.3% in oak forests and 57.6% in pine).


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Thomas Paul ◽  
Mark O. Kimberley ◽  
Peter N. Beets

Abstract Background Natural forests cover approximately 29% of New Zealand’s landmass and represent a large terrestrial carbon pool. In 2002 New Zealand implemented its first representative plot-based natural forest inventory to assess carbon stocks and stock changes in these mostly undisturbed old-growth forests. Although previous studies have provided estimates of biomass or carbon stocks, these were either not fully representative or lacked data from important pools such as dead wood (coarse woody debris). The current analysis provides the most complete estimates of carbon stocks and stock changes in natural forests in New Zealand. Results We present estimates of per hectare carbon stocks and stock changes in live and dead organic matter pools excluding soil carbon based on the first two measurement cycles of the New Zealand Natural Forest Inventory carried out from 2002 to 2014. These show that New Zealand’s natural forests are in balance and are neither a carbon source nor a carbon sink. The average total carbon stock was 227.0 ± 14.4 tC·ha− 1 (95% C.I.) and did not change significantly in the 7.7 years between measurements with the net annual change estimated to be 0.03 ± 0.18 tC·ha− 1·yr− 1. There was a wide variation in carbon stocks between forest groups. Regenerating forest had an averaged carbon stock of only 53.6 ± 9.4 tC·ha− 1 but had a significant sequestration rate of 0.63 ± 0.25 tC·ha− 1·yr− 1, while tall forest had an average carbon stock of 252.4 ± 15.5 tC·ha− 1, but its sequestration rate did not differ significantly from zero (− 0.06 ± 0.20 tC·ha− 1·yr− 1). The forest alliance with the largest average carbon stock in above and below ground live and dead organic matter pools was silver beech-red beech-kamahi forest carrying 360.5 ± 34.6 tC·ha− 1. Dead wood and litter comprised 27% of the total carbon stock. Conclusions New Zealand’s Natural Forest Inventory provides estimates of carbon stocks including estimates for difficult to measure pools such as dead wood and roots. It also provides estimates of uncertainties including effects of model prediction error and sampling variation between plots. Importantly it shows that on a national level New Zealand’s natural forests are in balance. Nevertheless, this is a nationally important carbon pool that requires continuous monitoring to identify potential negative or positive changes.


2014 ◽  
Vol 19 (1) ◽  
pp. 1 ◽  
Author(s):  
Supriadi Supriadi ◽  
Richardus F Kaswadji ◽  
Dietrich G Bengen ◽  
Malikusworo Hutomo

Konsep blue carbon yang diperkenalkan oleh UNEP, FAO dan UNESCO pada tahun 2009 memasukkan padang lamun sebagai salah satu ekosistem yang mempunyai peran dalam penyerapan karbon global. Karbon yang diserap disimpan dan dialirkan dalam beberapa kompartemen, antara lain di sedimen, herbivora, kolom air, ekosistem lain dan dalam bentuk biomassa. Penelitian dilakukan di Pulau Barranglompo, Makassar, untuk melihat potensi stok karbon yang tersimpan dalam biomassa lamun. Kepadatan lamun diukur dengan melakukan sampling menggunakan metode transek kuadrat dengan ukuran 50cm x 50cm. Sedangkan untuk biomassa dilakukan dengan transek 20cm x 20cm. Hubungan antara kepadatan, biomassa dan kandungan karbon dari lamun digunakan untuk menentukan jumlah stok karbon. Kepadatan lamun disurvei pada 236 titik, sedangkan untuk pengambilan sampel biomassa dilakukan pada 30 titik. Hasil penelitian menunjukkan bahwa komunitas lamun mempunyai total stok karbon sebesar 73,86 ton dari total luas padang lamun 64,3 ha. Karbon di bawah substrat sebesar 56,55 ton (76,3%), lebih tinggi dibanding karbon di atas substrat yang hanya 17,57 ton (23,7%). Jenis lamun Enhalus acoroides menyumbang lebih dari 70% terhadap total stok karbon. Berdasarkan kelas karbon, kontribusi terbesar ditemukan pada kelas 100-200 gC.m-2 sebesar 29,41 ton (39,7%). Hasil ini menunjukkan bahwa ekosistem lamun berperan sangat penting dalam menjaga stok karbon di laut sehingga perlu mendapatkan perhatian untuk konservasinya. Kata kunci: konsep blue karbon, lamun, Barranglompo   Blue carbon concept as introduced by UNEP, FAO and UNESCO in 2009 included seagrass beds as one ecosystem having a significant role in global carbon absorption. Absorbed carbon was stored and distributed in various compartments such as in sediments, herbivores, water column, other ecosystems and in form of biomass. The research was conducted in Barranglompo Island, Makassar City to analyze the potency of carbon stock that stored within seagrass biomass. Seagrass density was sampled using quadrat transect method with size of 50cm x 50cm. While for biomass was done by harvesting seagrass at transect of 20cm x 20cm in root penetration depth. Relationship between density, biomass and carbon content of seagrass were used to determine total carbon stock. Seagrass density was surveyed at 236 points, while for biomass sampling was conducted in 30 points. The results showed that seagrass community had total carbon stocks as much as 73.86 tonnes from overall 64.3 ha of seagrass bed areas.  Below ground carbon had 56.55 tonnes (76.3%), higher compared to that aboveground which only 17.57 tonnes (23.7%). Seagrass species Enhalus acoroides contributed more than 70% to the total carbon stocks, whereas, based on the carbon classes, the highest contribution was found at class 100-200 gC.m-2 i.e. 29.41 tonnes (39.7%). These results suggest that seagrass ecosystem plays an important role in maintaining the carbon stock in the ocean and should receive good attention for its conservation. Keywords: blue carbon concept, seagrass, Barranglompo


Author(s):  
Bayu Elwanto Bagus Dewanto ◽  
Retnadi Heru Jatmiko

Estimation of aboveground carbon stock on stands vegetation, especially in green open space, has become an urgent issue in the effort to calculate, monitor, manage, and evaluate carbon stocks, especially in a massive urban area such as Samarinda City, Kalimantan Timur Province, Indonesia. The use of Sentinel-1 imagery was maximised to accommodate the weaknesses in its optical imagery, and combined with its ability to produce cloud-free imagery and minimal atmospheric influence. The study aims to test the accuracy of the estimated model of above-ground carbon stocks, to ascertain the total carbon stock, and to map the spatial distribution of carbon stocks on stands vegetation in Samarinda City. The methods used included empirical modelling of carbon stocks and statistical analysis comparing backscatter values and actual carbon stocks in the field using VV and VH polarisation. Model accuracy tests were performed using the standard error of estimate in independent accuracy test samples. The results show that Samarinda Utara subdistrict had the highest carbon stock of 3,765,255.9 tons in the VH exponential model. Total carbon stocks in the exponential VH models were 6,489,478.1 tons, with the highest maximum accuracy of 87.6 %, and an estimated error of 0.57 tons/pixel.


2014 ◽  
Vol 5 ◽  
pp. 63-67
Author(s):  
Tshering Dolma Lama ◽  
Ram Asheshwar Mandal

A study was carried on ten leasehold forests of Katakuti VDC, Dolakha district to estimate the carbon stock. Random sampling was used to collect the biophysical data of trees/ poles, sapling, root and leaf litter, herb and grass. Then, the biomass was calculated using the respective equation and the calculated biomass stock was converted into carbon stock multiplying with 0.47. Similarly, the soil samples were collectewd from different depths of 0-10 cm, 10-20 cm and 20-30 cm to determine the soil organic carbon. Lastly, all analyzed data were compiled to get total carbon stocks. The result showed that the estimated total carbon stock per ha was found to be highest in Srijana leasehold forest with 125.493 t C/ha. The estimated total carbon stock of 10 leasehold forest was found to be 1439.033 tons. Here, Leasehold forests have been an emerging and successful example in conserving forests in epal. So, it is recommended to extend such studies in other parts of Nepal. DOI: http://dx.doi.org/10.3126/init.v5i0.10255   The Initiation 2013 Vol.5; 63-67


Author(s):  
O. B. Bondar

The results of investigations of actual and water protection forests coverage on the river catchments within the Left-Bank Forest-Steppe zone in Ukraine are presented. In the catchment areas of the Sula, Psel, Vorskla, Siversky Donets river, tree stands were distributed by the age groups, relative density, site classes, forest categories based on the data from the electronic database of “Ukrderzhlisproekt” Production Association. The percentages of natural and planted pine stands were determined in the fresh oak-pine fairly infertile site type and of oak stands, in fresh maple-lime fertile oak forest type. The productivity for natural and planted oak stands were analyzed in fresh maple-lime fertile oak forest type as well as for planted pine stands in fresh fairly infertile oak-pine site type.


2017 ◽  
Vol 66 (1) ◽  
pp. 75-83
Author(s):  
Dixon T. Gevaña ◽  
Leni D. Camacho ◽  
Sofronio C. Camacho

AbstractBlue carbon pertains to carbon stock that is stored by marine ecosystems including mangrove forest. Density and blue carbon stock assessment was conducted covering matureRhizophora stylosaGriff. plantations in Bohol, Philippines. Three stand types were assessed: thinned mature stand (0.34 tree m−2at 55 years old; 35 ha); non-thinned mature stand (1.2 tree m−2at 55 years old; 20 ha) and young stand (2.6 tree m−2at 20 years old; 150 ha). These plantations were initially established with a plant spacing of 0.5 m × 0.5 m. Non-destructive plot sampling technique was used to account biomass and carbon stocks of trees and sediments. Five (5) sample plots measuring 200 m2were allocated for each stand type. Results showed that the total carbon stock of plantations amassed to 64.5 ktC or 236.6 ktCO2e. More than half (at least 54%) of this stock is imbedded in sediment. Individual accounts showed that carbon stock was largest in non-thinned stand with 435.2 tC ha−1, followed by thinned stand (408.5 tC ha−1) and young stand (276.8 tC ha−1). There was no significant difference between thinned and non-thinned mature stands carbon stocks. Such finding suggested the potential of having thinning intervention. Following the self-thinning rule of 1.1 to 1.3 tree m−2, the local community can harvest as much as 423 trees ha−1yr−1for 35 years starting at the plantation age of 20 years. Further, the additional carbon stock between the ages 20 to 55 years could reach about 580 tCO2e ha−1with an economic value of USD 2,962 ha−1. With this potential benefits, it is recommended that Banacon Island should pursue a carbon offset project for its plantations.


2014 ◽  
Vol 11 (7) ◽  
pp. 10703-10735 ◽  
Author(s):  
X. Liu ◽  
R. Ekoungoulou ◽  
J. J. Loumeto ◽  
S. A. Ifo ◽  
Y. E. Bocko ◽  
...  

Abstract. The study was aimed to estimate the carbon stocks of above- and below-ground biomass in Lesio-louna forest of Congo. The methodology of allometric equations was used to measure the carbon stocks of Lesio-louna natural forest. We are based precisely on the model II which is also called non-destructive method or indirect method of measuring carbon stocks. While there has been use of parameters such as the DBH and wood density. The research was done with 22 circular plots each 1256 m2. In the 22 plots studied, 19 plots are in the gallery forest and three plots in the secondary forest. Also, 22 circular plots were distributed in 5 sites studies of Lesio-louna forest, including: Inkou forest island, Iboubikro, Ngoyili, Blue lake and Ngambali. So, there are two forest types (secondary forest and gallery forest) in this forest ecosystem. In the 5 sites studied, we made measurements on a total of 347 trees with 197 trees for the class of 10–30 cm diameter, 131 trees for the class of 30–60 cm diameter and 19 trees in the diameter class > 60 cm. The results show that in the whole forest, average carbon stock for the 22 plots of the study was 168.601 t C ha−1 for AGB, or 81% and 39.551 t C ha−1 for BGB, or 19%. The total carbon stocks in all the biomass was 3395.365 t C for AGB, which is 3.395365 × 10–6 Gt C and 909.689934 t C for BGB, which was 9.09689934 × 10–7 Gt C. In this forest, the carbon stock was more important in AGB compared to BGB with respectively 3395.365 t C against 909.689934 t C. Plot10 (AGB = 363.899 t C ha−1 and BGB = 85.516 t C ha−1) was the most dominant in terms of carbon quantification in Lesio-louna.


Author(s):  
Elly Josephat Ligate ◽  
Can Chen ◽  
Chengzhen Wu

Aim: Estimation of carbon in the forests located in the coast of tropics is needed to support conservation and forest monitoring strategies. This study aimed at quantifying carbon stocks in the regenerating tree species of intact forest (IFS), disturbed by agriculture (ADS) and by livestock grazing sites (LDS) to understand the importance of coastal trees in carbon stocking as part of mitigating climate change impacts. Methodology: Thirty-three independent measurements of tree carbon stocks were carried out on 33 tree families found in the coastal zone of Tanzania. The vegetation was inventoried by means of a floristic survey of the woody component across intact, crop agriculture and livestock disturbed land use sites. The biomass was then estimated by employing the existing allometric equations for tropical forests. Thereafter, the above ground stored carbon was quantified on the sampled tree species found in each land uses. Results: The results showed that there were significant variations (p ≤ .05) of carbon stock values across species and land uses. The average carbon (Kg/ha) stored in the regenerated adult trees was 1200 in IFS, 600 in ADS, 400 in LDS. Saplings had 0.43 in LDS, 0.07 in ADS and 0.01 in IFS. Indeed, seedlings had the average of 0.41 in IFS, 0.22 in ADS and 0.05 in LDS. Conclusion: These findings show that crop-agriculture highly affects the regeneration potential of trees, biomass accumulation and carbon stock than livestock grazing. To restore carbon storage potential of coastal tropical forests, crop-agriculture must be discouraged, while livestock grazing can be integrated in forest management. Indeed, further studies are required to gauge the integration levels of any anthropogenic activities, so that the natural capacity of coastal tropical forests to regenerate and stock carbon is not comprised further.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Mebrahtu Haile ◽  
Emiru Birhane ◽  
Meley Mekonen Rannestad ◽  
Muyiwa S. Adaramola

Increased presence of expansive plant species could bring about various ecological influences on biomass carbon, soil organic carbon, and the physical and chemical properties of the soils. However, their impacts on these ecological parameters could differ due to a wide range of life forms, plant communities of the invaded ecosystems, and abiotic conditions. This work was conducted to examine the impacts of Cadia purpurea and Tarchonanthus camphoratus cover on carbon stock in vegetation and soil and soil physicochemical properties in Desa’a forest, northern Ethiopia. Vegetation and soil data were collected from a total of 150 sampling plots (size 20 m × 20 m) from uninvaded and invaded vegetation conditions. The soil samples were collected from topsoil (0–15 and 15–30 cm) of the uninvaded and invaded vegetation conditions. The statistical difference in carbon stock and soil characteristics P < 0.05 of both invaded and uninvaded vegetation conditions were tested using an independent t-test using an R-software. The mean above- and below-ground biomass carbon stocks of the uninvaded vegetation condition (17.62 Mg·C/ha and 4.14 Mg·C/ha, respectively) were found to be significantly higher than those of the invaded vegetation condition (4.73 Mg·C/ha and 1.11 Mg·C/ha, respectively). The mean soil organic carbons (SOC) were significantly higher P < 0.01 in the uninvaded (122.83 Mg·C/ha) than in the invaded (90.13 Mg·C/ha) vegetation condition. The total carbon stock estimates were significantly higher P < 0.01 in the uninvaded vegetation condition (144.59 Mg·C/ha) than in the invaded vegetation condition (95.97 Mg·C/ha). Furthermore, the result revealed that most of the soil characteristics were significantly lower P < 0.05 under the expansive shrubs invaded vegetation conditions except for significantly high sand content P < 0.05 . Silt, nitrogen, phosphorus, calcium, copper, and zinc did not significantly change with the cover of the expansive shrubs. Our results suggest that increased presence of the expansive species decreased carbon trapping and affected most of the soil nutrients within the forest. Hence, to enhance the carbon storage potential and to maintain the soil nutrient status of the forest, proper conservation, monitoring, and management of the existing PNV and controlling a further expansion of the expansive shrubs are required. Further studies will be required on the factors responsible for the difference in carbon stocks and soil nutrients in each vegetation condition in addition to the impacts of the expansive shrubs expansion.


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