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      국가산림자원조사와 모델을 활용한 우리나라 산림지 온실가스 인벤토리 개선 방안 = Methodologies for improving forest land greenhouse gas inventory in South Korea using National Forest Inventory and model

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      https://www.riss.kr/link?id=A109243744

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      Following the Paris Agreement, countries are required to report their efforts to mitigate greenhouse gas emissions.
      Particularly, reliable estimation of greenhouse gas sequestration by forest lands has gained significant attention. Nevertheless, comprehensive guidelines for the Tier 3 method, which is regarded as the most reliable method, remain ambiguous. This study analyzed the requirements for the Tier 3 method by reviewing IPCC guidelines and national inventory reports from developed countries such as the United States, Canada, and Sweden. Additionally, the study proposed methodologies for the Tier 3 inventory report tailored to the situation in South Korea by reviewing domestic modeling research studies and available data.
      The requirements for the Tier 3 method included seven criteria, including the combined use of measurement- and model-based inventories, temporal and spatial interpolation of measurement data, and model verification and validation. However, the degree to which these requirements were met varied among the United States, Canada, and Sweden. This study proposed that South Korea could report a Tier 3 forest land greenhouse gas inventory using national forest inventory data and domestic models. For the Tier 3 inventory, it is necessary to assess the uncertainty of national forest inventory data, perform spatial interpolation, adjust model parameters, and conduct model verification and validation. This study will facilitate discussions among relevant departments and experts involved in the forest land greenhouse gas inventory report. Moreover, the proposed methodologies in this study will adhere to the Tier 3 inventory requirements, using time and resources effectively and progressively advancing the reliability of greenhouse gas inventory reports.
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      Following the Paris Agreement, countries are required to report their efforts to mitigate greenhouse gas emissions. Particularly, reliable estimation of greenhouse gas sequestration by forest lands has gained significant attention. Nevertheless, compr...

      Following the Paris Agreement, countries are required to report their efforts to mitigate greenhouse gas emissions.
      Particularly, reliable estimation of greenhouse gas sequestration by forest lands has gained significant attention. Nevertheless, comprehensive guidelines for the Tier 3 method, which is regarded as the most reliable method, remain ambiguous. This study analyzed the requirements for the Tier 3 method by reviewing IPCC guidelines and national inventory reports from developed countries such as the United States, Canada, and Sweden. Additionally, the study proposed methodologies for the Tier 3 inventory report tailored to the situation in South Korea by reviewing domestic modeling research studies and available data.
      The requirements for the Tier 3 method included seven criteria, including the combined use of measurement- and model-based inventories, temporal and spatial interpolation of measurement data, and model verification and validation. However, the degree to which these requirements were met varied among the United States, Canada, and Sweden. This study proposed that South Korea could report a Tier 3 forest land greenhouse gas inventory using national forest inventory data and domestic models. For the Tier 3 inventory, it is necessary to assess the uncertainty of national forest inventory data, perform spatial interpolation, adjust model parameters, and conduct model verification and validation. This study will facilitate discussions among relevant departments and experts involved in the forest land greenhouse gas inventory report. Moreover, the proposed methodologies in this study will adhere to the Tier 3 inventory requirements, using time and resources effectively and progressively advancing the reliability of greenhouse gas inventory reports.

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      참고문헌 (Reference)

      1 Loucks DP, "Water resource systems planning and management: An introduction to methods, models, and applications" Springer 331-374, 2017

      2 Metsaranta JM, "Uncertainty of inventory-based estimates of the carbon dynamics of Canada’s managed forest(1990-2014)" 47 (47): 1082-1094, 2017

      3 Hollinger DY, "Uncertainty in eddy covariance measurements and its application to physiological models" 25 (25): 873-885, 2005

      4 Domke GM, "Toward inventory-based estimates of soil organic carbon in forests of the United States" 27 (27): 1223-1235, 2017

      5 GIR, "The second national greenhouse gas inventory comprehensive management plan (2020-2024)" GIR 2020

      6 McMahon SM, "The importance and challenges of detecting changes in forest mortality rates" 10 (10): e02615-, 2019

      7 Pales JC, "The concentration of atmospheric carbon dioxide in Hawaii" 70 (70): 6053-6076, 1965

      8 Callendar GS, "The artificial production of carbon dioxide and its influence on temperature" 64 (64): 223-240, 1938

      9 IPCC, "Summary for policymakers, Climate change 2023: Synthesis report" IPCC 2023

      10 Yi K, "Simulating the soil carbon dynamics of Pinus densiflora forests in Central Korea" 28 (28): 241-256, 2013

      1 Loucks DP, "Water resource systems planning and management: An introduction to methods, models, and applications" Springer 331-374, 2017

      2 Metsaranta JM, "Uncertainty of inventory-based estimates of the carbon dynamics of Canada’s managed forest(1990-2014)" 47 (47): 1082-1094, 2017

      3 Hollinger DY, "Uncertainty in eddy covariance measurements and its application to physiological models" 25 (25): 873-885, 2005

      4 Domke GM, "Toward inventory-based estimates of soil organic carbon in forests of the United States" 27 (27): 1223-1235, 2017

      5 GIR, "The second national greenhouse gas inventory comprehensive management plan (2020-2024)" GIR 2020

      6 McMahon SM, "The importance and challenges of detecting changes in forest mortality rates" 10 (10): e02615-, 2019

      7 Pales JC, "The concentration of atmospheric carbon dioxide in Hawaii" 70 (70): 6053-6076, 1965

      8 Callendar GS, "The artificial production of carbon dioxide and its influence on temperature" 64 (64): 223-240, 1938

      9 IPCC, "Summary for policymakers, Climate change 2023: Synthesis report" IPCC 2023

      10 Yi K, "Simulating the soil carbon dynamics of Pinus densiflora forests in Central Korea" 28 (28): 241-256, 2013

      11 Kim M, "Quantifying impacts of national-scale afforestation on carbon budgets in South Korea from 1961 to 2014" 10 (10): 579-, 2019

      12 한승현 ; 이선정 ; 장한나 ; 김성준 ; 김래현 ; 전의찬 ; 손요환, "Priority for developing emission factors and quantitative assessment in the forestry sector" 8 (8): 239-245, 2017

      13 Smith JE, "Predicting downed woody material carbon stocks in forests of the conterminous United States" 803 : 150061-, 2022

      14 이종열 ; Nim Dorji ; 김성준 ; Sonam Wangyel Wang ; 손요환, "Piloting the FBDC model to estimate forest carbon dynamics in Bhutan" 34 (34): 73-78, 2016

      15 UNFCCC, "Paris Agreement to the United Nations Framework Convention on Climate Change, Dec. 12, 2015, T.I.A.S. No. 16-1104"

      16 Arrhenius S, "On the influence of carbonic acid in the air upon the temperature of the ground" 41 (41): 237-276, 1896

      17 Berg B, "Needle litterfall in a North European spruce forest transect" Swedish University of Agricultural Sciences 1999

      18 Yu M, "National-scale temporal estimation of South Korean forest carbon stocks using a machine learning-based meta model" 98 : 106924-, 2023

      19 ECCC, "National inventory report 1990-2021: Greenhouse gas sources and sinks in Canada" ECCC 2023

      20 Vidal C, "National forest inventories: Assessment of wood availability and use" Springer 2016

      21 Smith P, "Monitoring and verification of soil carbon changes under Article 3. 4 of the Kyoto Protocol" 20 (20): 264-270, 2004

      22 Boudewyn PA, "Model-based, volume-to-biomass conversion for forested and vegetated land in Canada" Canadian Forest Service 2007

      23 Liang J, "Matrix model of forest dynamics : An overview and outlook" 59 (59): 359-378, 2013

      24 Luo Y, "Land carbon cycle modeling: Matrix approach, data assimilation, & ecological forecasting" CRC Press 2022

      25 Keeling CD, "Is carbon dioxide from fossil fuel changing man’ environment?" 114 (114): 10-17, 1970

      26 EPA, "Inventory of U.S. greenhouse gas emissions and sinks: 1990-2021" EPA 2023

      27 Chave J, "Improved allometric models to estimate the aboveground biomass of tropical trees" 20 (20): 3177-3190, 2014

      28 Kim HS, "Impacts of the national forest rehabilitation plan and humaninduced environmental changes on the carbon and nitrogen balances of the South Korean forests" 12 (12): 1150-, 2021

      29 Kim HS, "Future projection of CO2 absorption and N2O emissions of the South Korean forests under climate change scenarios : Toward net-zero CO2 emissions by 2050 and beyond" 13 (13): 1076-, 2022

      30 Oswalt SN, "Forest resources of the United States, 2017: A technical document supporting the forest service 2020 RPA assessment" U.S. Department of Agriculture, Forest Service 2019

      31 Shaw CH, "Evaluation of simulated estimates of forest ecosystem carbon stocks using ground plot data from Canada’s National Forest Inventory" 272 : 323-347, 2014

      32 Cho S, "Evaluation of forest carbon uptake in South Korea using the national flux tower network, remote sensing, and data-driven technology" 311 : 108653-, 2021

      33 박찬우 ; 손요환 ; 이궁 ; 이종열 ; 이경학 ; 이명종 ; 김춘식 ; 박관수 ; 김래현, "Estimation of long-term effects of harvest interval and intensity, and post-harvest residue management on the soil carbon stock of Pinus densiflora stands using KFSC model" 102 (102): 82-89, 2013

      34 이아름 ; 노남진 ; 윤태경 ; 이수경 ; 서경원 ; 이우균 ; 조용성 ; 손요환, "Estimation of forest soil carbon stocks with Yasso using a dendrochronological approach" 98 (98): 791-798, 2009

      35 Cui G, "Estimation of forest carbon budget from land cover change in South and North Korea between 1981 and 2010" 57 (57): 225-238, 2014

      36 Park CW, "Estimation of change in soil carbon stock of Pinus densiflora forests in Korea using KFSC model under RCP 8.5 climate change scenario" 4 (4): 77-93, 2013

      37 Lee J, "Estimating the effect of abandoning coppice management on carbon sequestration by oak forests in Turkey with a modeling approach" 640-641 : 400-405, 2018

      38 Lee J, "Estimating the carbon dynamics of South Korean forests from 1954 to 2012" 11 (11): 4637-4650, 2014

      39 Lee J, "Estimating the age-dependent changes in carbon stocks of Scots pine(Pinus sylvestris L.)stands in Turkey" 73 : 523-531, 2016

      40 Domke GM, "Estimating litter carbon stocks on forest land in the United States" 557-558 : 469-478, 2016

      41 이보라 ; 강완모 ; 김충기 ; 김지은 ; 이창훈, "Estimating carbon uptake in forest and agricultural ecosystems of Korea and other countries using eddy covariance flux data" 26 (26): 127-139, 2017

      42 Kim M, "Estimating carbon dynamics in forest carbon pools under IPCC standards in South Korea using CBM-CFS3" 10 (10): 83-92, 2017

      43 Lee J, "Estimating carbon dynamics in an intact lowland mixed dipterocarp forest using a forest carbon model" 8 (8): 114-, 2017

      44 Lee J, "Economic viability of the national-scale forestation program: The case of success in the Republic of Korea" 29 : 40-46, 2018

      45 McDowell N, "Drivers and mechanisms of tree mortality in moist tropical forests" 219 (219): 851-869, 2018

      46 함보영 ; 송철호 ; 박은빈 ; 최솔이 ; 이우균, "Development of forest activity data and forest management rate for national greenhouse gas inventory in the forest sector" 11 (11): 53-63, 2020

      47 Lee J, "Determining economically viable forest management option with consideration of ecosystem services in Korea : A strategy after successful national forestation" 41 : 101053-, 2020

      48 Melin Y, "Decomposition of stump and root systems of Norway spruce in Sweden-A modelling approach" 257 (257): 1445-1451, 2009

      49 Campbell EE, "Current developments in soil organic matter modeling and the expansion of model applications : A review" 10 (10): 123004-, 2015

      50 Hararuk O, "Constraining the organic matter decay parameters in the CBM-CFS3 using Canadian National Forest Inventory data and a Bayesian inversion technique" 364 : 1-12, 2017

      51 Coulston JW, "Complex forest dynamics indicate potential for slowing carbon accumulation in the southeastern United States" 5 (5): 8002-, 2015

      52 박은빈 ; 송철호 ; 함보영 ; 김지원 ; 이종열 ; 최솔이 ; 이우균, "Comparison of sampling and wall-to-wall methodologies for reporting the GHG inventory of the LULUCF sector in Korea" 9 (9): 385-398, 2018

      53 Kurz WA, "Carbon in Canada’s boreal forest-A synthesis" 21 (21): 260-292, 2013

      54 Kim HS, "Carbon and nitrogen turnover times of South Korean forests estimated via data-model fusion" 126 (126): 2021

      55 NFI, "Canada’s National Forest Inventory business process (Version 8.0)"

      56 Kurz WA, "CBM-CFS3 : A model of carbon-dynamics in forestry and land-use change implementing IPCC standards" 22 (22): 480-504, 2009

      57 김형섭 ; 이종열 ; 한승현 ; 김성준 ; 손요환, "Approaches for developing a forest carbon and nitrogen model through analysis of domestic and overseas models" 107 (107): 140-150, 2018

      58 Hong M, "Application of integrated Korean forest growth dynamics model to meet NDC target by considering forest management scenarios and budget" 17 (17): 5-, 2022

      59 Berg B, "Amounts of litter fall in some pine forests in a European transect, in particular Scots pine" 56 (56): 625-639, 1999

      60 Fridman J, "Adapting National Forest Inventories to changing requirements-The case of the Swedish National Forest Inventory at the turn of the 20th century" 48 (48): 1095-, 2014

      61 Hou E, "Across-model spread and shrinking in predicting peatland carbon dynamics under global change" 29 (29): 2759-2775, 2023

      62 Longo M, "Aboveground biomass variability across intact and degraded forests in the Brazilian Amazon" 30 (30): 1639-1660, 2016

      63 GIR, "2023 National Inventory Report" GIR 2023

      64 IPCC, "2019 Refinement to the 2006 IPCC guidelines for national greenhouse gas inventories" IPCC 2019

      65 IPCC, "2006 IPCC guidelines for national greenhouse gas inventories" IPCC 2006

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