| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.11628/ksppe.2016.19.6.549 |
| Estimating Net Primary Productivity under Climate Change byApplication of Global Forest Model (G4M). | |
| Sung S; Forsell N; Kindermann G; Lee DK | |
| 发表日期 | 2016 |
| 出处 | Journal of the Korean Society People, Plants, and Environment 19 (6): 549-558 |
| 出版年 | 2016 |
| 语种 | 英语 |
| 摘要 | Net primary productivity (NPP) is considered as an important indicator for forest ecosystem since the role of the forest is highlighted as a key sector for mitigating climate change. The objective of this research is to estimate changes on the net primary productivity of forest in South Korea under the different climate change scenarios. The G4M (Global Forest Model) was used to estimate current NPP and future NPP trends in different climate scenarios. As input data, we used detailed (1 km × 1 km) downscaled monthly precipitation and average temperature from Korea Meteorological Administration (KMA) for four RCP (Representative Concentration Pathway) scenarios (2.6/4.5/6.0/8.5). We used MODerate resolution Imaging Spectroradiometer (MODIS) NPP data for the model validation. Current NPP derived from G4M showed similar patterns with MODIS NPP data. Total NPP of forest increased in most of RCP scenarios except RCP 8.5 scenario because the average temperature increased by 5°C. In addition, the standard deviation of annual precipitation was the highest in RCP8.5 scenario. Precipitation change in wider range could cause water stress on vegetation that affects decrease of forest productivity. We calculated future NPP change in different climate change scenarios to estimate carbon sequestration in forest ecosystem. If there was no biome changes in the future NPP will be decreased up to 90%. On the other hand, if proper biome change will be conducted, future NPP will be increased 50% according to scenarios. |
| 主题 | Ecosystems Services and Management (ESM) |
| 关键词 | climate change adaptation, forest biome change, forest carbon sequestration, forest ecosystem productivity, Representative Concentration Pathway (RCP) scenarios |
| URL | http://pure.iiasa.ac.at/id/eprint/14355/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/130551 |
| 推荐引用方式 GB/T 7714 | Sung S,Forsell N,Kindermann G,et al. Estimating Net Primary Productivity under Climate Change byApplication of Global Forest Model (G4M).. 2016. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Estimating%20Net%20P（4538KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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