• Journal of the Korean GEO-environmental Society
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• v.9 no.6
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• pp.43-51
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• 2008

This study is to evaluate the NPP (Net Primary Production) distribution in the Geum River basin from NOAA/AVHRR satellite imagery data. It is supposed that the natural vegetation condition and the NPP has the linear relationship. The NPP from natural vegetation increases proportional to the annual net radiation (Rn), where radiative dryness index (RDI) is a proportional constant connecting net radiation to NPP. Normalized Difference Vegetation Index (NDVI) is used for monitoring vegetation change, and iNDVI (integrated NDVI) for annual analysis. The iNDVI has a close relation to Rn and NPP, which can be used effectively for estimating NPP distribution of where the meteorological data is unavailable. The purpose of this study is to propose a simple method to get NPP in the Geum river basin.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.481-481
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• 2022

본 연구에서는 기후 변화 완화에 대한 잠재력을 평가하기 위해 국내에서 가장 우세한 소나무 종인 Pinus densiflora의 기후변화에 대한 반응을 평가하였다. 기후변화의 시나리오로 4가지 대표 농도경로(RCP)에 기반 하여 CO₂, 강수량, 온도의 변화를 개별 및 조합하였다. 생태수문학적 및 지구화학적 모델인 ecosys를 활용 및 보완하여 광릉 시험림에 적용하였다. 본 연구에서는 대기 중 CO₂ 증가가 총일차생산량(GPP)과 순일차생산량(NPP)에 미치는 긍정적인 영향이 강수량과 기온 변화로 인한 부정적인 영향보다 더 큰 것으로 나타났다. 특히, 기준 시나리오와 비교하여 각각 RCP2.6, 4.5, 6.5, 8.5에서 3.79%, 13.44%, 18.26%, 28.91%의 NPP 개선이 모의되었다. 또한, 본 연구에서는 지표하 질소 유출과 지표 N₂O 플럭스가 기후 변화가 심해짐에 따라 소나무 생장 향상 및 토양 수분 저하로 인하여 토양 질소 손실 감소가 모의되었다. 기후변화의 강도가 증가함에 따라 증발산량이 증가하였지만, 기공 감소는 토양에서 흡수하는 물이용 및 광합성 효율 증진을 가져왔다. 이러한 결과는 소나무가 기후 변화를 완화하는 환경 친화적인 선택으로 작용할 수 있는 잠재성을 나타낸다.

• Journal of the Korean GEO-environmental Society
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• v.15 no.10
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• pp.35-42
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• 2014

This study is to evaluate Net Primary Production (NPP) using NDVI calculated by MODIS in the Nakdong river basin. This study is based on the method of using the fact that NPP is proportional to natural vegetation condition. This method is different from existing one, using remote sensed data. It is known that NPP of natural vegetation is proportional to the absorbed amount of visible light that is proportional to NDVI. Therefore, estimating NPP by using NDVI is one of the most highly useful methods. This method can be used in a wide range of areas where vegetation data can not be obtained easily or where there is not enough meterological data. This study proposes the estimating method for NPP that is based upon NDVI, which is obtained by MODIS, and verifies by comparing the NPP with empirical results.

• Korean Journal of Remote Sensing
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• v.27 no.4
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• pp.467-480
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• 2011

Spatial and temporal variabilities of NPP(Net Primary Production) retrieved from two satellite instruments, AVHRR(Advanced Very High Resolution Radiometer, 1981-2000) and MODIS(MODerate-resolution Imaging Spectroradiometer, 2000-2006), were investigated. The range of mean NPP from A VHRR and MODIS were estimated to be 894-1068 $g{\cdot}C/m^2$/yr and 610-694.90 $g{\cdot}C/m^2$/yr, respectively. The discrepancy of NPP between the two instruments is about 325 $g{\cdot}C/m^2$/yr, and MODIS product is generally closer to the ground measurement than AVHRR despite the limitation in direct comparison such as spatial resolution and vegetation classification. The higher NPP values over South Korea are related to the regions with higher biomass (e.g., mountains) and higher annual temperature. The interannual NPP trends from the two satellite products were computed, and both mean annual trends show continuous NPP increase; 2.14 $g{\cdot}C/m^2$/yr from AVHRR(1981-2000) and 6.08 $g{\cdot}C/m^2$/yr from MODIS (2000-2006) over South Korea. Specifically, the higher increasing trends over the Southwestern region are likely due to the increasing productivity of crop fields from sufficient irrigation and fertilizer use. The retrieved NPP shows a closer relationship between monthly temperature and precipitation, which results in maximum correlation during summer monsoons. The difference in the detection wavelength and model schemes during the retrieval can make a significant difference in the satellite products, and a better accuracy in the meterological and land use data and modeling applications will be necessary to improve the satellite-based NPP data.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.402-402
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• 2011

식생의 성장은 수문순환과 밀접히 연관되어 있으며 특히 강수량은 식생의 연간변동성의 주된 요인이다. 하지만 국내의 경우 이러한 식생과 강수량과의 관계를 알아보기 위한 정량적인 접근은 시도되지 않은 실정이다. 순일차생산량(NPP)은 광합성으로부터 생성된 유기물질에서 성장에 필요한 호흡량을 뺀 것이며, 이는 식생량을 산정할 때 주로 이용된다. 본 연구에서는 우리나라 전역의 50 지역의 5년간의 NPP와 연강수량이 분석에 사용되었다. 비록 자료기간이 관계를 정립하기에는 다소 부족하며 NPP자료 자체의 불확실성이 내포되어 있지만 각 지점별 NPP와 강수량과의 상관성이 매우 높은 지역들이 있는 것으로( ��0.6) 나타났다. 하지만 모든 지역의 자료를 동시에 고려하였을 경우에는 결정계수가 크게 감소하였다($R^2$=0.310). 추가적으로 강우이용효율과 연강수량의 관계를 분석하였으나 결정계수가 0.022로 기존의 문헌과는 달리 이들 사이에 뚜렷한 관계가 나타나지는 않았다. 본 연구를 통하여 확인된 사실은 우리나라의 식생과 강수량 관계에서는 우리나라 전역을 전반적으로 설명할 수 있는 일반적인 선형 관계를 찾기는 힘들다는 것이며, 다만 지역별로 살펴볼 경우 식생-강수량 관계가 비교적 잘 맞는 지역들이 다수 존재한다는 것이다. 따라서 우리나라를 대상으로 한 생태적요소가 고려된 수문모형을 개발할 경우 지역적 특성들이 모형 구조에 반영되어야 할 것이다.

• 한국해양학회지
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• v.21 no.2
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• pp.73-84
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• 1986

Photometric Winkler titration provides high precision enough to use the oxygen method in moderately productive waters In short incubation (2-4hr), about $2{\mu\textrm{g}}C/\ell/h$ can be differentiated by the photometric titration. The oxygen and $^{14}C$ methods resulted in good agreement with each other in the diurnal primary production measurements. Despite small descrepancies the severe underestimation of $^{14}C-technique$ was not observed in short-term incubation. Size-fractionated production studies indicated the importance of nanoplanktonic production in the coastal water (62-88%). Bacterial respiration may lead to significant underestimation in estimating net photosynthesis in the oxygen method. In spite of some problems associated with the ecological application of antibiotics, it seems feasible to use Gentamycin in separating planktonic respiration from that of total community.

• Journal of Climate Change Research
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• v.4 no.2
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• pp.77-93
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• 2013

Global warming accelerates both carbon (C) input through increased forest productivity and heterotrophic C emission in forest soils, and a future trend in soil C dynamics is uncertain. In this study, the Korean forest soil carbon model (KFSC model) was applied to 1,467,458 ha of Pinus densiflora forests in Korea to predict future C dynamics under RCP 8.5 climate change scenario (RCP scenario). Korea was divided into 16 administrative regions, and P. densiflora forests in each region were classified into six classes by their stand ages : 1 to 10 (I), 11 to 20 (II), 21 to 30 (III), 31 to 40 (IV), 41 to 50 (V), and 51 to 80-year-old (VI+). The forest of each stand age class in a region was treated as a simulation unit, then future net primary production (NPP), soil respiration (SR) and forest soil C stock of each simulation unit were predicted from the 2012 to 2100 under RCP scenario and constant temperature scenario (CT scenario). As a result, NPP decreased in the initial stage of simulation then increased while SR increased in the initial stage of simulation then decreased in both scenarios. The mean NPP and SR under RCP scenario was 20.2% and 20.0% higher than that under CT scenario, respectively. When the initial age class was I, IV, V or VI+, predicted soil C stock under CT scenario was higher than that under RCP scenario, however, the countertrend was observed when the initial age class was II or III. Also, forests having a lower site index showed a lower soil C stock. It suggested that the impact of temperature on NPP was higher when the forests grow faster. Soil C stock under RCP scenario decreased at the end of simulation, and it might be derived from exponentially increased SR under the higher temperature condition. Thus, the difference in soil C stock under two scenarios will be much larger in the further future.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.23 no.1
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• pp.49-62
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• 2018

Net community production (NCP), defined as the difference between net primary production and respiration of heterotrophs, has been used as a measure of oceanic biological carbon pump. This paper summarizes the theoretical background and experimental methods for the estimation of NCP based on $O_2/Ar$ measurements ($O_2/Ar-NCP$). The high frequency measurements of $O_2/Ar-NCP$ (<1 min) is a significant enhancement over the conventional measures of biological pump, such as new production and export production. This paper also introduces some of important works as to the comparison between $O_2/Ar-NCP$ and other measures of biological pump, the distributions of $O_2/Ar-NCP$ in the oceans, and the correlation of $O_2/Ar-NCP$ with various oceanic parameters, including community structures.

• Journal of Environmental Science International
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• v.6 no.6
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• pp.605-612
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• 1997

This study is to evaluate the overall NPP(Net Primary Productions distribution in the Korean Peninsula from the satellite data(NOAA/AVHRR). This has been done using the linear relationship between the natural vegetation condition and the NPP. The NPP of natural vegetation increases proportional to the annual net radiation(Rn), where radiative dorless Index(RDI) is a proportional constant connecting Rn to NPP. Normalized Difference Vegetation Index(NDVI) Is used for monitoring vegetation change, and INDVI (Integrated NDVI) for annual analysis. The INDVI has a close relation to .Rn and NPP. which can be used effectively for estimating NPP distribution of where the meteorological data Is unavailable such as North Korea. The NPP distribution of the Korean Peninsula was estimated based on the model.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.191-191
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• 2023

기후변화 대응을 위한 탄소 중립의 중요성이 대두되는 요즘, 생태계의 가장 큰 메탄 저장소로서 지구의 탄소 순환에 주요한 영향을 미치는 습지에 대한 이해는 필수적이다. 전지구 지면 모델인 Community Land Model(CLM)에 Functionally Assembled Terrestial Ecosystem Simulator(FATES) 외부 모듈을 함께 구동한 지면 생태계 모델 CLM-FATES는 지면 heterogeneity와 다양한 식생 종류를 고려하여 에너지 플럭스, 토양 수문, 생화학적 과정 등을 모의함으로써 탄소 동태 변화를 포함한 장기적 생태계 동태 변화 모의를 가능하게 한다. 본 연구는 CLM-FATES 모델을 미국 캘리포니아주 Mayberry Wetland (US-Myb)와 Twitchell East End Wetland (US-Tw4)에 적용하였다. 모델의 대기 입력 자료로는 FLUXNET-CH4에서 제공하는 에디 공분산 기반 플럭스 관측 자료를 사용하였다. 기존 CLM-FATES 모델은 토양이 장기간 포화 혹은 침수되어 지표 위 혹은 지표면 가까이 발달한 지하수면을 가지고 있는 습지의 수문학적 특성을 잘 반영하지 못해 정밀한 습지 생태계 동태 변화 모의에 한계를 가지고 있다. 본 연구에서는 CLM-FATES를 통한 보다 정확한 습지 생태계 모의를 위해 모델 내 토양 수문 관련 모듈을 수정하여 모델이 습지의 수문학적 특성을 반영할 수 있도록 하였다. 모델 구동 결과 도출한 잠열, 총일차생산량(Gross Primary Production: GPP)과 순생태계생산량(Net Ecosystem Production, NEP) 플럭스, 메탄 플럭스, 엽면적지수(Leaf Area Index; LAI)와 지표수 높이에 대해 관측값 대비 RMSE 및 R² 값을 계산하여 모의 결과의 적절성을 분석하였다. 이러한 모델 개선 경험을 바탕으로 추후 우리나라 습지 사이트에 모델을 적용하여 습지 탄소 동태 예측에 활용할 계획이다.