Estimating changes in net primary productivity of forests considering vegetation shift and climate change

Sunyong Sung, of Seoul National University, Republic of Korea, used the IIASA Global Forest Model (G4M) to investigate the impacts of climate change on the net primary productivity (NPP) of forests on the Korean Peninsula, showing that NPP would increase under all scenarios tested.

Sunyong Sung

Sunyong Sung

Introduction

Net primary productivity is considered to be an important indicator for forest ecosystems. As much as 64% of South Korean territory is covered by forest, making the development of the forest sector a primary concern for the government. Discussions regarding how to maximize carbon sequestration in the forest sector have been under way since the Korean government announced the first comprehensive plan for improvement of the forest carbon sink. The objective of this research is thus to estimate the change in South Korean forest carbon stocks under different climate change scenarios.

Methods

G4M was used in this project to estimate NPP changes under different climate scenarios. As input data we used detailed (1 km x 1 km) downscaled monthly precipitation and average temperature data from the Korea Meteorological Administration for the four representative concentration pathways (RCP) scenarios (2.6/4.5/6.0/8.5). To validate the results of the model against historical development, Moderate Resolution Imaging Spectroradiometer (MODIS) NPP data from 2001 to 2010 was used. Spatial statistics tool in ArcGIS 10.1 was used for analyzing different trends among the scenarios, as well as NPP changes from 2011 to 2100.

Results

In this study, MODIS and G4M showed similar NPP values from 2001 to 2010. In the future, average NPP per ha would increase in all RCP scenarios. The total NPP of forest increased in most of the RCP scenarios except RCP 8.5. The average temperature increased 5℃ in the RCP 8.5 scenario and by 1℃ in the RCP 2.6 scenario. In addition, the standard deviation of annual precipitation was the highest in the RCP 8.5 scenario. Precipitation change in the wider range could cause water stress on vegetation that would cause a decrease in forest productivity.

Figure. Average NPP from 2001 to 2010 (Left: MODIS, Right: G4M)


Conclusions

In this study, we calculated NPP change under different climate change scenarios to estimate carbon sequestration in the forest ecosystem. However, we assumed that the forest biome will change as a maximizing increment of NPP. Further study is required for considering species changes under climate change.

Supervisors

Nicklas Forsell and Georg Kindermann, Ecosystem Services and Management Program, IIASA

Note

Sunyong Sung, of Seoul National University, is a citizen of the Republic of Korea. He was funded by the IIASA Republic of Korea National Member Organization and worked in the Ecosystem Services and Management Program during the YSSP.

Please note these Proceedings have received limited or no review from supervisors and IIASA program directors, and the views and results expressed therein do not necessarily represent IIASA, its National Member Organizations, or other organizations supporting the work.


Print this page

Last edited: 02 February 2016

CONTACT DETAILS

Tanja Huber

YSSP Coordinator & Team Leader

Young Scientists Summer Program

T +43(0) 2236 807 344

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313