Species- and elevation-dependent productivity changes in East Asian temperate forests

Kim M, Ham B-Y, Kraxner F, Shvidenko A, Schepaschenko D ORCID: https://orcid.org/0000-0002-7814-4990, Krasovskii A ORCID: https://orcid.org/0000-0003-0940-9366, Park T, & Lee W-K (2020). Species- and elevation-dependent productivity changes in East Asian temperate forests. Environmental Research Letters 15 (3): e034012. DOI:10.1088/1748-9326/ab71a2.

[img]
Preview
Text
Kim_2020_Environ._Res._Lett._15_034012.pdf - Published Version
Available under License Creative Commons Attribution.

Download (2MB) | Preview
Project: opEn interOperable Platform for unified access and analysis of Earth observatioN data (EOPEN, H2020 776019)

Abstract

The velocity and impact of climate change on forest appear to be site, environment, and tree species-specific. The primary objective of this research is to assess the changes in productivity of five major temperate tree species (Pinus densiflora, PD; Larix kaempferi, LK; Pinus koraiensis, PK; Quercus variabilis, QV; and Quercus mongolica, QM) in South Korea using terrestrial inventory and satellite remote sensing data. The area covered by each tree species was further categorized into either lowland forest (LLF) or high mountain forest (HMF) and investigated. We used the repeated Korean national forest inventory (NFI) data to calculate a stand-level annual increment (SAI). We then compared the SAI, a ground-based productivity measure, to MODerate resolution Imaging Spectroradiometer (MODIS) net primary productivity as a measure of productivity based on satellite imagery. In addition, the growth index of each increment core, which eliminated the effect of tree age on radial growth, was derived as an indicator of the variation in primary productivity by tree species over the past four decades. Based on our result from NFI plots and increment core data sets, the productivity of PD, QV, and QM in LLF was relatively higher than those in HMF, while LK and PK in HMF were more productive than lowland ones. Our analysis of the increment core data revealed a contrasting pattern of long-term productivity changes between coniferous and oak tree species. While the productivity of oak tree species tended to increase after the 1990s, the productivity in coniferous forests tended to decrease. These differences across forest types and their altitudinal classes are also noticeable from the MODIS product. The results of our study can be used to develop climate-smart forest management strategies to ensure that the forests continue to be resilient and continue to provide a wide range of ecosystem services in the Eastern Asian region.

Item Type: Article
Research Programs: Ecosystems Services and Management (ESM)
Depositing User: Luke Kirwan
Date Deposited: 19 Feb 2020 11:59
Last Modified: 19 Feb 2020 11:59
URI: http://pure.iiasa.ac.at/16300

Actions (login required)

View Item View Item

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