Forest Carbon Modeling in Poplar and Black Locust Short Rotation Coppice Plantation in Hungary

Mulyana, Budi and Polgár, András and Vityi, Andrea (2024) Forest Carbon Modeling in Poplar and Black Locust Short Rotation Coppice Plantation in Hungary. Jurnal Sylva Lestari, 12 (2). pp. 324-337. ISSN 2339-0913

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Abstract

Forest carbon dynamic modeling for estimating the carbon stock in short rotation coppice bioenergy plantation in Hungary will be vital for better comprehending the role of black locust (Robinia pseudoacacia) and poplar (Populus sp.) in carbon dioxide sequestration from the atmosphere. The research aims were to estimate the potential carbon stock and describe the carbon distribution of the short rotation coppice bioenergy plantation above and below ground. Various sources were used to acquire parameterization data for developing forest carbon dynamic models. CO2FIX modeling V.3.2 was utilized in the data analysis to estimate the total carbon stock in biomass, soil, harvested wood products, and bioenergy compartments. Modeling has been around for 45 years. In this research, the total carbon stock of black locust and poplar at the end of the simulation period was 64.13 and 131.08 MgC.ha-1, respectively. The average carbon allocation above and below ground for black locust and poplar was 0.76, 19.76, 1.80, and 21.67 MgC.ha-1, respectively. In conclusion, poplar outperformed black locust regarding carbon storage in the short rotation coppice bioenergy plantation. Below ground carbon allocation was much higher than above ground. Therefore, more attention should be paid on below ground allocation through environmentally friendly soil management.Keywords: bioenergy plantation, carbon dynamics, climate change mitigation, CO2FIX model, fast growing species

Tudományterület / tudományág

agricultural sciences > forestry and wildlife management

Faculty

Not relevant

Institution

Soproni Egyetem

Item Type:	Article
SWORD Depositor:	Teszt Sword
Depositing User:	Csaba Horváth
Identification Number:	MTMT:34753545
Date Deposited:	25 Mar 2024 11:06
Last Modified:	25 Mar 2024 11:06
URI:	http://publicatio.uni-sopron.hu/id/eprint/3080

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