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2024 Vol.59, Issue 4 Preview Page

Research Article

Effective Sampling Design for Assessing Forest Soil Carbon Stocks and Environmental Correlations

산림 토양 탄소 저장량 평가를 위한 효과적인 표본 조사 설계 및 환경상관성

Gwanyong Jeonga
,
Woojin Shimb*
,
Jongmyoung Leec
,
DongHun Jid
정 관용a
,
심 우진b*
,
이 종명c
,
지 동훈d
aAssociate Professor, Department of Geography, Chonnam National University
bHK Research Professor, Asia Center, Seoul National University / Instructor, Department of Geography, College of Social Science, Cheonnam National University
cDirector, Forest Information Corporation
dGeneral Manager, Division of forest resources information, Korea Forestry Promotion Institute
a전남대학교 지리학과 부교수
b서울대학교 아시아연구소 HK연구교수 및 전남대학교 지리학과 강사
c(주)산림정보 이사
d한국임업진흥원 자원정보실 실장
*Corresponding Author
31 August 2024. pp. 471-486
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Abstract

This study aimed to analyze the differences in soil carbon stocks based on sampling methods and their correlation with environmental variables. The results reveal that the average unit carbon stocks from central sample points was higher at all depths compared to the central sample point with sub-sample points. Through this find, it was identified that carbon stocks can be underestimated or overestimated depending on the sampling method. When comparing carbon stocks based on soil depth, the difference in carbon unit stocks between 0-30 cm and 0-100 cm depths was approximately 1.48 kg/m2, resulting in a total carbon storage difference of around 410,000 tons. This indicates that deeper soil depths reveal more forest soil carbon stocks. Furthermore, conditional Latin Hypercube Sampling was applied to assess efficiency and feasibility based on accessibility. To achieve more accurate soil carbon stock assessment and prediction, repeated surveys covering both central and sub-sample points are necessary. Implementing conditioned Latin Hypercube Sampling (cLHS) during this process can lead to a more efficient design and execution of soil sampling.

Keywords
Forest soil
Carbon stocks
Soil sampling method
Conditional Latin Hypercube Sampling

이 연구는 표본 조사 방법에 따른 토양 탄소 저장량의 차이와 환경 변수와의 상관관계를 분석하고, 이를 통해 탄소 저장량 파악의 불확실성을 줄이기 위한 효과적인 표본 조사 방법을 제안하고자 한다. 남양주 산림 지역을 대상으로 한 연구에서 중심표본점과 부표본점 데이터를 비교한 결과, 중심표본점 데이터의 평균 단위 탄소 저장량이 모든 깊이에서 높게 나타났다. 이를 통해 조사 방법별로 탄소 저장량이 과소, 과대 추정될 수 있음을 파악하였다. 토양 깊이 0-30cm와 0-100cm의 탄소 단위 저장량 차이는 약 1.48kg/m2, 총 탄소 저장량의 차이는 약 41만 톤으로 나타났다. 이는 조사 깊이에 따라 산림 토양의 탄소 저장량이 크게 변화할 수 있음을 보여준다. 또한, 조건부 라틴 하이퍼큐브 샘플링(conditioned Latin Hypercube Sampling)을 적용하여 조사 시 접근성에 따른 효율성과 가능성을 파악했고, 최소 표본 개수를 산정하여 전국 단위 조사를 위한 적절한 표본 개수를 제시하였다. 이러한 결과를 바탕으로 보다 정확한 토양 탄소 저장량 평가와 예측을 위해서는 중심표본점과 부표본점을 모두 조사하는 반복 조사가 필요하며, 이 과정에서 cLHS 방식을 적용하여 보다 효율적인 표본 조사를 설계하고 수행할 수 있을 것이다.

키워드
산림토양
탄소 저장량
표본 조사
조건부 라틴 하이퍼큐브 샘플링
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Information
  • Publisher :The Korean Geographical Society
  • Publisher(Ko) :대한지리학회
  • Journal Title :Journal of the Korean Geographical Society
  • Journal Title(Ko) :대한지리학회지
  • Volume : 59
  • No :4
  • Pages :471-486
  • Received Date : 2024-05-31
  • Revised Date : 2024-07-09
  • Accepted Date : 2024-07-10
  • DOI :https://doi.org/10.22776/kgs.2024.59.4.471
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