scholarly journals Soil carbon stock in olive groves agroforestry systems under different management and soil characteristics

Author(s):  
Camilla Bateni ◽  
Maurizio Ventura ◽  
Giustino Tonon ◽  
Andrea Pisanelli
2019 ◽  
Vol 94 (2) ◽  
pp. 341-358 ◽  
Author(s):  
Nilovna Chatterjee ◽  
P. K. Ramachandran Nair ◽  
Vimala D. Nair ◽  
Syam Viswanath ◽  
Abhishek Bhattacharjee

2021 ◽  
Vol 13 (22) ◽  
pp. 12412
Author(s):  
Ghulam Yasin ◽  
Muhammad Farrakh Nawaz ◽  
Muhammad Zubair ◽  
Ihsan Qadir ◽  
Aansa Rukya Saleem ◽  
...  

Adopting agroforestry practices in many developing countries is essential to combat climate change and diversify farm incomes. This study investigated the above and below-ground biomass and soil carbon of a citrus-based intercropping system in six sites (subdivisions: Bhalwal, Kot Momin, Sahiwal, Sargodha, Shahpur and Silanwali) of District Sargodha, Southeast Pakistan. Tree biomass production and carbon were assessed by allometric equations through a non-destructive approach whereas, soil carbon was estimated at 0–15 cm and 15–30 cm depths. Above and below-ground biomass differed significantly, and the maximum mean values (16.61 Mg ha−1 & 4.82 Mg ha−1) were computed in Shahpur due to greater tree basal diameter. Tree carbon stock fluctuated from 6.98 Mg C ha−1 to 10.28 Mg C ha−1 among selected study sites. The surface soil (0–15 cm) had greater bulk density, organic carbon, and soil carbon stock than the subsoil (15–30 cm) in the whole study area. The total carbon stock of the ecosystem ranged from 25.07 Mg C ha−1 to 34.50 Mg C ha−1 across all study sites, respectively. The above findings enable us to better understand and predict the carbon storage potential of fruit-based agroforestry systems like citrus. Moreover, measuring carbon with simple techniques can produce trustworthy outcomes that enhance the participation of underdeveloped nations in several payment initiatives such as REDD+.


Author(s):  
Telmo José Mendes ◽  
Diego Silva Siqueira ◽  
Eduardo Barretto de Figueiredo ◽  
Ricardo de Oliveira Bordonal ◽  
Mara Regina Moitinho ◽  
...  

2019 ◽  
Vol 76 (1) ◽  
pp. 33-40 ◽  
Author(s):  
Aline Segnini ◽  
Alfredo Augusto Pereira Xavier ◽  
Pedro Luis Otaviani-Junior ◽  
Patrícia Perondi Anchão Oliveira ◽  
André de Faria Pedroso ◽  
...  

2006 ◽  
Vol 25 (S1) ◽  
pp. 278-278
Author(s):  
Xinqing Lee ◽  
Daikuan Huang ◽  
Wei Jiang ◽  
Zhaodong Feng ◽  
Hongguang Cheng ◽  
...  

2020 ◽  
Author(s):  
Kilian Walz ◽  
Kenneth A Byrne ◽  
David Wilson ◽  
Florence Renou-Wilson

<p>While peatlands constitute the largest soil carbon stock in Ireland with 75% of soil carbon stored in an area covering an estimated 20% of the land surface, carbon stocks of peatlands are affected by past and present disturbances related to various land uses. Afforestation, grazing and peat extraction for energy and horticultural use often are major drivers of peatland soil degradation. A comparative assessment of the impact of land disturbance on peatland soil carbon stocks on a national scale has been lacking so far. Current research, funded by the Irish Environmental Protection Agency (EPA), addresses this issue with the goal to fill various gaps related to mapping and modeling changes of soil carbon stock in Irish peatlands. Data from the first nationwide peatland survey forms the basis for this study, in which the influence of different factors and covariates on soil carbon distribution in peatlands is examined. After data exploratory analysis, a mixed linear modeling approach is tested for its suitability to explain peatland soil carbon distribution within the Republic of Ireland. Parameters are identified which are responsible for changes across the country. In addition, model performance to map peat soil carbon stock within a three-dimensional space is evaluated.</p>


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