| Autor: |
Yuzhi Tang, Quanqin Shao, Tiezhu Shi, Zhensheng Lu, Guofeng Wu |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Carbon Balance and Management, Vol 17, Iss 1, Pp 1-24 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1750-0680 |
| DOI: |
10.1186/s13021-022-00210-0 |
| Popis: |
Abstract Background Countries seeking to mitigate climate change through forests require suitable modelling approaches to predict carbon (C) budget dynamics in forests and their responses to disturbance and management. The Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3) is a feasible and comprehensive tool for simulating forest C stock dynamics across broad levels, but discrepancies remain to be addressed in China. Taking Guizhou as the case study, we customised the CBM-CFS3 model according to China’s context, including the modification of aboveground biomass C stock algorithm, addition of C budget accounting for bamboo forests, economic forests, and shrub forests, improvement of non-forest land belowground slow dead organic matter (DOM) pool initialisation, and other model settings. Results The adequate linear relationship between the estimated and measured C densities (R 2 = 0.967, P |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
|
Nepřihlášeným uživatelům se plný text nezobrazuje |
K zobrazení výsledku je třeba se přihlásit.
|
