scholarly journals Models to estimate the above and below ground carbon stocks from a subtropical scrub forest of Pakistan

2021 ◽  
pp. e01539
Author(s):  
Zafar Siddiq ◽  
Muhammad Umar Hayyat ◽  
Amin U Khan ◽  
Rashid Mahmood ◽  
Laila Shahzad ◽  
...  
Keyword(s):  
Carbon Stocks ◽  
Below Ground ◽  
Scrub Forest

scholarly journals Above and Below Ground Biomass and Carbon Stock in Permanent Grasslands of Slovakia

2019 ◽  
Vol 65 (4) ◽  
pp. 155-163
Author(s):  
Miriam Kizeková ◽  
Radoslava Kanianska ◽  
Ľubica Jančová ◽  
Jozef Čunderlík ◽  
Zuzana Dugátová ◽  
...  
Keyword(s):  
Dry Matter ◽  
Carbon Sink ◽  
Global Climate ◽  
Carbon Stocks ◽  
Botanical Composition ◽  
Hay Meadows ◽  
Ground Biomass ◽  
Grassland Type ◽  
Below Ground ◽  
Abandoned Grassland

Abstract This paper aimed to monitory the dry matter biomass production and carbon stocks of above-and below-ground biomass in five types of grasslands in Slovakia: i) lowland oversowed pasture ii) lowland hay meadows, iii) mesophilous pasture, iv) mountain hay meadows, v) abandoned grassland. Averaged over two cropping seasons the total above-and below-ground biomass differed significantly across the monitored grasslands. It ranged respectively from 2.18 to 7.86 t/ha and from 9.64 to 22.67 t/ha dry matter depending on the pedoclimatic condition and the botanical composition of each grassland type. Consequently, this resulted also in the carbon stocks in above-and below-ground biomass. Generally, the mean carbon stocks were 1.56 t/ha for above-ground biomass (24%) and 4.83 t/ha for below-ground biomass (76%). The botanical composition for all the grassland types was also described. The highest number of plant species (55) was observed in lowland hay meadow located in Slovak Karst, the lowest one (23) for the oversowed grassland located in Eastern Slovak Upland. This monitoring paper showed that semi-natural grassland habitats and improved grasslands as well are an important carbon sink, and they can play a key role in global climate change mitigation.

scholarly journals Biomass and productivity of seagrasses in Africa

2016 ◽  
Vol 59 (2-3) ◽  
Author(s):  
Michael N. Githaiga ◽  
Linda Gilpin ◽  
James G. Kairo ◽  
Mark Huxham
Keyword(s):  
West Africa ◽  
East Africa ◽  
Carbon Stocks ◽  
Seagrass Ecosystems ◽  
Stocks And Flows ◽  
Below Ground ◽  
The Mean ◽  
Sediment Carbon

AbstractThere is growing interest in carbon stocks and flows in seagrass ecosystems, but recent global reviews suggest a paucity of studies from Africa. This paper reviews work on seagrass productivity, biomass and sediment carbon in Africa. Most work was conducted in East Africa with a major geographical gap in West Africa. The mean above-ground, below-ground and total biomasses from all studies were 174.4, 474.6 and 514 g DW m

scholarly journals Short Communication: Estimation of the above- and below-ground carbon stocks in University of Lampung, Indonesia

2019 ◽  
Vol 20 (3) ◽  
pp. 676-681
Author(s):  
IRWAN SUKRI BANUWA ◽  
RIZKI AFRILIYANTI ◽  
MUHAJIR UTOMO ◽  
SRI YUSNAINI ◽  
MELYA RINIARTI ◽  
...  
Keyword(s):  
Carbon Stock ◽  
Open Space ◽  
Short Communication ◽  
Carbon Stocks ◽  
Co2 Uptake ◽  
Below Ground ◽  
Mitigation Effort ◽  
Environmental Goals ◽  
Understory Biomass ◽  
Change Mitigation

Abstract. Banuwa IS, Afriliyanti R, Utomo M, Yusnaini S, Riniarti M, Sanjaya P, Suroso E, Hidayat W. 2019. Short Communication: Estimation of the above- and below-ground carbon stocks in University of Lampung, Indonesia. Biodiversitas 20: 676-681. University of Lampung in Indonesia has been promoting green campus program since 2004 to meet environmental goals, including specific targets for energy and CO2 reductions. This study was conducted to establish baseline data on the carbon stock and carbon sequestered in the campus of University of Lampung in order to support the program. The above-ground carbon stocks were estimated from tree biomass, understory biomass, and litters, while under-ground carbon stocks were measured by determining the organic carbon in soil. The results showed that the average above-ground carbon stock was 35.65 t.ha-1, consisted of 35.10 t.ha-1, 0.18 t.ha-1, and 0.12 t.ha-1 from trees biomass, understory biomass, and litters, respectively. The average below-ground carbon stock was 317.33 t.ha-1 and the CO2 uptake by plants was 130.74 t.ha-1. The Faculty of Agriculture with the largest area of green open space contributed to the highest carbon stocks and carbon sequestration, while the Faculty of Medicine showed the lowest values. The results could be essential to suggest the climate change mitigation effort, such as the expansion and optimization of green spaces area.

scholarly journals Climate Change Adaptation and Mitigation Options through strengthening carbon Management in Central Africa: Biomass allometric models of Khaya senegalensis (Desr.) A. Juss (meliaceae) in Cameroon

2021 ◽  
Author(s):  
Djongmo Victor Awé ◽  
Bi Tra Aimé Vroh ◽  
Noumi Valery Noiha ◽  
Moussa Ganamé ◽  
Djawé Yannick Wanguili ◽  
...  
Keyword(s):  
Central Africa ◽  
Information Criterion ◽  
Carbon Stocks ◽  
Carbon Management ◽  
Allometric Models ◽  
Far North ◽  
Breast Height ◽  
Khaya Senegalensis ◽  
Below Ground ◽  
Adaptation And Mitigation

Abstract This study focused on the development of allometric models of Khaya senegalensis in order to establish a basis for calculating carbon stocks. The research was carried out in the Adamawa, North and Far North region of Cameroon. The weighing of the samples of each part (stem, branch, leaf) of the sample of trees composed of 60 feet of Khaya senegalensis and their drying in the oven made it possible to know the dry biomass of each subject Adjusted coefficients of determination (Adj.R2), residual standard error (RSE) and Akaike's information criterion (AIC) were used to choose the best models. Thus, the tested models presented varied performances. The various analyzes have confirmed that the diameter at breast height (DBH) is the variable that offers the best correlation with above-ground (AGB) and below-ground (BGB) biomass. The best selected models are: ln (AGB) = 1.004–0.054 * ln (D) and ln (BGB) = -3.009 + 0.016 * ln (D) (Adamawa); ln (AGB) = 0.004 + 0.054 * ln (D) and ln (BGB) = -1.301 + 0.116 * ln (D) (North); ln (AGB) = 0.004 + 1.084 * ln (D) and ln (BGB) = -0.002 + 0.016 * ln (D)( Far North). The best models selected for the global equations for the three regions are: ln (AGB) = 0.504 + 3.048*ln (D) and ln (BGB) =-0.109 + 0.306*ln (D). Models were proposed to estimate the carbon of Khaya senegalensis in Cameroon.

scholarly journals RESPONSES OF ABOVE- AND BELOW-GROUND CARBON STOCKS TO ENVIRONMENTAL DRIVERS IN TIBETAN ALPINE GRASSLANDS

2016 ◽  
Vol 24 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Hongsheng LIU ◽  
Zewei MIAO
Keyword(s):  
Soil Moisture ◽  
Soil Carbon ◽  
Carbon Storage ◽  
Environmental Variables ◽  
Carbon Stocks ◽  
Environmental Drivers ◽  
Mean Annual Temperature ◽  
Ecosystem Productivity ◽  
Large Spatial Scale ◽  
Below Ground

Paucity in the knowledge of responses of grassland carbon dynamics to environmental variables constrains our ability to predict future ecosystem productivity. The aim of this study was to investigate differential responses of above- and below-ground carbon stocks to environmental drivers in Tibetan alpine Plateau at both regional and local scales. Variance partitioning and non-linear regression between carbon stocks and environmental driving variables suggested that both above- and below-ground carbon stocks showed a significant negative relationship with temperature and a positive relationship with soil moisture. Annual accumulated temperature constrained above-ground carbon at regional scale (r2 = 0.50, P < 0.0001), while soil moisture controlled below-ground carbon at local scale (r2 = 0.48, P < 0.0001). Scale-specific responses of above- and belowground carbon storage to temperature and soil moisture complicated the influences of abiotic environmental variables on ecosystem productivity. Soil carbon had significant unimodal (r2 = 0.11, P = 0.0073) and linear (r2 = 0.37, P < 0.0001) relationships with mean annual temperature and soil moisture, respectively. Since the driving factors of aboveground and soil carbon content are specific to spatial scales, the relationships of grassland carbon storage and environmental factors at small scales are not applicable to a large spatial scale.

scholarly journals Assessing the carbon capture potential of a reforestation project

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
David Lefebvre ◽  
Adrian G. Williams ◽  
Guy J. D. Kirk ◽  
Paul ◽  
J. Burgess ◽  
...  
Keyword(s):  
Carbon Capture ◽  
Ghg Emissions ◽  
Anthropogenic Disturbances ◽  
Carbon Stocks ◽  
Carbon Accounting ◽  
Environmental Costs ◽  
Peruvian Amazon ◽  
Ecosystem Level ◽  
Below Ground ◽  
Climatic Disturbances

AbstractThe number of reforestation projects worldwide is increasing. In many cases funding is obtained through the claimed carbon capture of the trees, presented as immediate and durable, whereas reforested plots need time and maintenance to realise their carbon capture potential. Further, claims usually overlook the environmental costs of natural or anthropogenic disturbances during the forest’s lifetime, and greenhouse gas (GHG) emissions associated with the reforestation are not allowed for. This study uses life cycle assessment to quantify the carbon footprint of setting up a reforestation plot in the Peruvian Amazon. In parallel, we combine a soil carbon model with an above- and below-ground plant carbon model to predict the increase in carbon stocks after planting. We compare our results with the carbon capture claims made by a reforestation platform. Our results show major errors in carbon accounting in reforestation projects if they (1) ignore the time needed for trees to reach their carbon capture potential; (2) ignore the GHG emissions involved in setting up a plot; (3) report the carbon capture potential per tree planted, thereby ignoring limitations at the forest ecosystem level; or (4) under-estimate tree losses due to inevitable human and climatic disturbances. Further, we show that applications of biochar during reforestation can partially compensate for project emissions.

scholarly journals Evaluation of carbon stocks in above- and below-ground biomass in Central Africa: case study of Lesio-louna tropical rainforest of Congo

2014 ◽  
Vol 11 (7) ◽  
pp. 10703-10735 ◽  
Author(s):  
X. Liu ◽  
R. Ekoungoulou ◽  
J. J. Loumeto ◽  
S. A. Ifo ◽  
Y. E. Bocko ◽  
...  
Keyword(s):  
Carbon Stock ◽  
Secondary Forest ◽  
Central Africa ◽  
Carbon Stocks ◽  
Total Carbon ◽  
Gallery Forest ◽  
Ground Biomass ◽  
Blue Lake ◽  
Below Ground ◽  
Non Destructive

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.

scholarly journals The Assessment of Carbon Stocks in the Oak Scrub Forest of Sheringal Valley Dir Kohistan

2015 ◽  
Vol 05 (05) ◽  
pp. 510-517
Author(s):  
Alamgir Khan ◽  
Adnan Ahmad ◽  
Ziaur Rahman ◽  
Siraj-ud-Din   ◽  
Rahmatullah Qureshi ◽  
...  
Keyword(s):  
Carbon Stocks ◽  
Scrub Forest
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