Estimating carbon dynamics in forest carbon pools under IPCC standards in South Korea using CBM-CFS3

Kim, Moonil; Lee, Woo‐Kyun; Kurz, Werner A.; Kwak, Do Won; Morken, Scott; Smyth, Calvin M.; Ryu, Donghoon

doi:10.3832/ifor2040-009

Cited by 25 publications

(39 citation statements)

References 34 publications

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“…They have been adapted to represent Mexican conditions using data from Mexico. The scientific approach and necessary inputs for the parameterization of these models have been extensively documented in literature (Kurz et al 2009, Stinson et al 2011, Kull et al 2011, Pilli et al 2013, Smyth et al 2014, Kim et al 2016 and the supplemental material. The CBM-CFS3 implements the Gain-Loss method of the IPCC to estimate annual GHG emissions and removals in forest ecosystems.…”

Section: Modeling Framework and Datamentioning

confidence: 99%

Applying a systems approach to assess carbon emission reductions from climate change mitigation in Mexico’s forest sector

Olguín¹,

Wayson

Fellows

et al. 2018

Environ. Res. Lett.

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Section: Modeling Framework and Datamentioning

confidence: 99%

Applying a systems approach to assess carbon emission reductions from climate change mitigation in Mexico’s forest sector

Olguín¹,

Wayson

Fellows

et al. 2018

Environ. Res. Lett.

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“…Forest area covers about 63.7% (6369 000 ha) of the total land area of South Korea, and 60% of the terrain consists of mountains and uplands separated by deep, narrow valleys, with complex terrain. Currently, many irregular phenomena have occurred in South Korean forests due to climate change (Kim et al 2017a, 2017b, Lim et al 2018. Based on previous research and monitoring data, a decreased growth rate and increased mortality among most of the major coniferous tree species in South Korea has been observed (Kim et al 2017a(Kim et al , 2017b.…”

Section: Introductionmentioning

confidence: 99%

“…Currently, many irregular phenomena have occurred in South Korean forests due to climate change (Kim et al 2017a, 2017b, Lim et al 2018. Based on previous research and monitoring data, a decreased growth rate and increased mortality among most of the major coniferous tree species in South Korea has been observed (Kim et al 2017a(Kim et al , 2017b. In addition, shifting tree species suitability and increased damage from insects have been observed in Korean forests (Kim et al 2017b).…”

Section: Introductionmentioning

confidence: 99%

“…Based on previous research and monitoring data, a decreased growth rate and increased mortality among most of the major coniferous tree species in South Korea has been observed (Kim et al 2017a(Kim et al , 2017b. In addition, shifting tree species suitability and increased damage from insects have been observed in Korean forests (Kim et al 2017b). The velocity and impact of climate change appears to be site, environment, and tree species-specific (Kim et al 2019).…”

Section: Introductionmentioning

confidence: 99%

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

Kim

Ham

Kraxner

et al. 2020

Environ. Res. Lett.

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The velocity and impact of climate change on forest appear to be site, environment, and tree speciesspecific. 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.

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“…The model has already been applied and validated at regional and national scales in Canada (Kurz and Apps 1999;Kurz et al 2008a, b;Stinson et al 2011), and in other countries (e.g., the Russian Federation (Zamolodchikov et al 2008), and South-Korea (Kim et al 2016)). …”

Section: Introductionmentioning

confidence: 99%

The Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3): customization of the Archive Index Database for European Union countries

Pilli

Kull

Blujdea

et al. 2018

Annals of Forest Science

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Abstract& Key message The purpose of this report is to increase the transparency of applications of the CBM-CFS3 model by climate-related policy-makers and researchers. The report provides explicit information on the parametrization of a new Archive Index Database used with this model to simulate forest carbon dynamics in 26 EU countries. The database can be accessed at https://data.europa.eu/89h/jrc-cbm-eu-aidb, primary metadata are available in Kull et al. (2017), and additional metadata are available at https://metadata-afs.nancy.inra.fr/geonetwork/srv/fre/catalog.search#/metadata/ df48155b-973f-4169-a722-100bb6bfc76c. The Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3) has been adapted, tested, and applied to forests of 26 EU countries over the last 7 years for EU policy making and scientific research. The overall purpose of this exercise is to increase the transparency of how the EU Archive Index Database (EU-AIDB) was parameterized while supporting both the policy making and research communities interested in applying the CBM-CFS3 with ecological parameters specific to the EU context. In addition to preparing model input data reflecting various management and disturbance scenarios for CBM-CFS3 projects, an essential step was to update the original AIDB with information specific to the EU context and create an EU-AIDB. The AIDB is the Microsoft Access database behind the CBM-CFS3 that stores default ecological information and parameters pertaining to the forest ecosystems of a country, among other functions. The EU-AIDB incorporates 1034 spatial units resulting from the intersection of 204 European administrative regions and ecological boundaries representing 35 climatic units. It also contains updated parameters for 192 of the main tree species reported by the National Forest Inventories of each EU country. The release of this database allows CBM-33 CFS3 users in the EU to apply European administrative and ecological units and tree species in forest carbon modeling projects.

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Estimating carbon dynamics in forest carbon pools under IPCC standards in South Korea using CBM-CFS3

Cited by 25 publications

References 34 publications

Applying a systems approach to assess carbon emission reductions from climate change mitigation in Mexico’s forest sector

Applying a systems approach to assess carbon emission reductions from climate change mitigation in Mexico’s forest sector

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

The Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3): customization of the Archive Index Database for European Union countries

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