Abstract
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−1yr−1) was within the observed range in PGEF. Furthermore, the simulated N stock (3.91 Mg N ha−1) based on the FBDCAN model was consistent with the observed N stock (4.13 Mg N ha−1) in PGEF (r2 = 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.
Original language | English |
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Pages (from-to) | 202-209 |
Number of pages | 8 |
Journal | Forest Science and Technology |
Volume | 15 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2019 Oct 2 |
Bibliographical note
Funding Information:This study was funded by the Korea Forest Service (2017044B10-1819-BB01), the Ministry of Environment (2014001310008), and the National Research Foundation of Korea (2018R1A2B6001012).
Publisher Copyright:
© 2019, © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Keywords
- Carbon
- Pinus densiflora
- forest
- modeling
- nitrogen
ASJC Scopus subject areas
- Forestry
- Management, Monitoring, Policy and Law