eprintid: 14355
rev_number: 9
eprint_status: archive
userid: 353
dir: disk0/00/01/43/55
datestamp: 2017-02-01 07:39:17
lastmod: 2021-08-27 17:28:30
status_changed: 2017-02-01 07:39:17
type: article
metadata_visibility: show
creators_name: Sung, S.
creators_name: Forsell, N.
creators_name: Kindermann, G.
creators_name: Lee, D.K.
creators_id: 1999
creators_id: 8178
creators_orcid: 0000-0003-4297-1318
title: Estimating Net Primary Productivity under Climate Change by
Application of Global Forest Model (G4M)
ispublished: pub
divisions: prog_esm
keywords: climate change adaptation, forest biome change, forest carbon sequestration, forest ecosystem productivity, Representative
Concentration Pathway (RCP) scenarios
abstract: 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.
date: 2016-12
date_type: published
publisher: Korean Society People, Plants, and Environment
id_number: 10.11628/ksppe.2016.19.6.549
creators_browse_id: 93
creators_browse_id: 157
full_text_status: public
publication: Journal of the Korean Society People, Plants, and Environment
volume: 19
number: 6
pagerange: 549-558
refereed: TRUE
issn: 1226-9778
coversheets_dirty: FALSE
fp7_project: no
fp7_type: info:eu-repo/semantics/article
citation:   Sung, S., Forsell, N. <https://pure.iiasa.ac.at/view/iiasa/93.html>, Kindermann, G. <https://pure.iiasa.ac.at/view/iiasa/157.html> ORCID: https://orcid.org/0000-0003-4297-1318 <https://orcid.org/0000-0003-4297-1318>, & Lee, D.K.  (2016).  Estimating Net Primary Productivity under Climate Change by Application of Global Forest Model (G4M).   Journal of the Korean Society People, Plants, and Environment 19 (6) 549-558. 10.11628/ksppe.2016.19.6.549 <https://doi.org/10.11628/ksppe.2016.19.6.549>.       
document_url: https://pure.iiasa.ac.at/id/eprint/14355/1/Estimating%20Net%20Primary%20Productivity%20under%20Climate%20Change%20by%20Global%20Forest%20Model.pdf