한국농림기상학회지, 제 12권 제2호(2010) (pISSN 1229-5671, eISSN 2288-1859)
Korean Journal of Agricultural and Forest Meteorology, Vol. 12, No. 2, (2010), pp. 107~121
DOI: 10.5532/KJAFM.2010.12.2.107
ⓒ Author(s) 2014. CC Attribution 3.0 License.


한국의 두 주요 생태계에 대한 JULES 지면 모형의 민감도 분석:
일차생산량과 생태계 호흡의 모사에 미치는 생물리모수의 영향

장지현(1), 홍진규(2), 변영화(3), 권효정(1),(4), 채남이(5), 임종환(6), 김 준(1,7)
(1)연세대학교 대기과학과 지구환경연구소, (2)국가수리과학연구소, (3)국립기상연구소 기후연구실,
(4)서울대학교 국가농림기상센터, (5)한국해양연구원 극지연구소 극지기후연구부, (6)국립산림과학원 산림보전부,
(7)동경대학교 지속가능한 도시재생 우수연구소/산업과학연구소

(2010년 03월 31일 접수; 2010년 06월 21일 수정; 2010년 06월 24일 수락)

A Sensitivity Analysis of JULES Land Surface Model for Two Major
Ecosystems in Korea: Influence of Biophysical Parameters on the
Simulation of Gross Primary Productivity and Ecosystem Respiration

Jihyeon Jang(1), Jinkyu Hong(2), Young-Hwa Byun(3), Hyojung Kwon(1),(4), Namyi Chae(5),
Jong-Hwan Lim(6), Joon Kim(1,7)
(1)Department of Atmospheric Sciences, Global Environment Laboratory, Yonsei University,
Shinchon-dong 134, Seodaemun-gu, Seoul 120-749, Korea
(2)National Institute for Mathematical Sciences, Daejeon, 305-340, Korea
(3)Climate Research Lab, National Institute of Meteorological Research, Korea
(4)National Center for Agro-Meteorology, College of Agriculture and Life Science,
Seoul National University, Seoul, 151-742, Korea
(5)Division of Polar Climate Research, Korea Polar Research Institute, KORDI
Get-Pearl Tower, 7-50, Songdo-dong, Yeonsu-gu, Incheon 406-840, Korea
(6)Department of Forest Conservation, Korea Forest Research Institute, Seoul, 130-712, Korea
(7)Global Center of Excellence for Sustainable Urban Regeneration, Institute of Industrial Science,
The University of Tokyo, Tokyo 153-8505, Japan

(Received March 31, 2010; Revised June 21, 2010; Accepted June 24, 2010)

ABSTRACT
We conducted a sensitivity test of Joint UK Land Environment Simulator (JULES), in which the influence of biophysical parameters on the simulation of gross primary productivity (GPP) and ecosystem respiration (RE) was investigated for two typical ecosystems in Korea. For this test, we employed the whole-year observation of eddy-covariance fluxes measured in 2006 at two KoFlux sites: (1) a deciduous forest in complex terrain in Gwangneung and (2) a farmland with heterogeneous mosaic patches in Haenam. Our analysis showed that the simulated GPP was most sensitive to the maximum rate of RuBP carboxylation and leaf nitrogen concentration for both ecosystems. RE was sensitive to wood biomass parameter for the deciduous forest in Gwangneung. For the mixed farmland in Haenam, however, RE was most sensitive to the maximum rate of RuBP carboxylation and leaf nitrogen concentration like the simulated GPP. For both sites, the JULES model overestimated both GPP and RE when the default values of input parameters were adopted. Considering the fact that the leaf nitrogen concentration observed at the deciduous forest site was only about 60% of its default value, the significant portion of the model’s overestimation can be attributed to such a discrepancy in the input parameters. Our finding demonstrates that the abovementioned key biophysical parameters of the two ecosystems should be evaluated carefully prior to any simulation and interpretation of ecosystem carbon exchange in Korea.

Keyword: JULES, gross primary production, ecosystem respiration, sensitivity analysis, forest, farmland

MAIN

적요

본 연구에서는 한반도의 주요 생태계인 활엽수림과 농경지에서 지면 모형 JULES(Joint UK Land Environment Simulator)으로 모의한 총일차생산량(Gross Primary Productivity: GPP)과 생태계 호흡량(ecosystem respiration: RE)의 수치 모사 결과에 영향을 미치는 주요 모수를 파악하였으며, 민감한 모수에 대해 실측자료를 사용함에 따른 모형 예측력의 개선 정도를 평가하였다. 민감도 실험의 결과, 활엽수림과 농경지에서 모두 JULES로 모의한 GPP는 잎 내부의 질소농도와 리불로오스이인산(RuBP) 카르복실화의 최대 속도에 가장 민감하였다. RE는 활엽수림에서는 목질부탄소량과 엽면적지수를 연결시켜주는 상수에 가장 민감하였다. 반면에 농경지에서 수치모사된 RE는 GPP와 같이 각각 잎 내부의 질소 농도와 RuBP 카르복실화의 최대 속도에 가장 민감하였다. JULES로부터 제공된 모수의 값으로 모의된 두 지역의 GPP와 RE는 모두 관측값에 비해 과대평가되었다. 특히 활엽수림에서 GPP가 가장 민감하게 반응했던 잎 질소 농도의 실제 관측값이 모형에서 사용하는 기존 설정값의 50% 이하임을 고려할 때 모형에서 설정된 모수의 값으로 탄소 순환을 수치 모사할 경우에 모수의 기존 설정값과 실제값의 차이가 모형의 과다모의에 상당한 영향을 미침을 확인할 수 있었다. 따라서 한반도 탄소순환의 현실적인 모의를 위해서는 모형에서 요구되는 생물리학적 정보가 한반도의 다양한 식생 기능 형태를 현실적으로 잘 반영하는지를 확인해야 할 뿐 아니라 지속적인 현장 관측을 통해서 생물리학적 정보와 관련된 자료기반을 마련하는 것이 중요하다.

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