• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.114-117
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• 2006

One of the most important tasks of ocean color observations is to determine the distribution of phytoplankton primary production. A variety of bio-optical algorithms have been developed estimate primary production from these parameters. In this communication, we investigated the possibility of using a novel universal approximator-support vector machines (SVMs)-as the nonlinear transfer function between oceanic primary production and the information that can be directly retrieved from satellite data. The VGPM (Vertically Generalized Production Model) dataset was used to evaluate the proposed approach. The PPARR2 (Primary Production Algorithm Round Robin 2) dataset was used to further compare the precision between the VGPM model and the SVM model. Using this SVM model to calculate the global ocean primary production, the result is 45.5 PgC $yr^{-1}$, which is a little higher than the VGPM result.

• 한국해양학회지:바다
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• 제18권2호
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• pp.65-69
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• 2013

대륙주변해인 동해의 일차생산력은 조사하기 쉬운 듯하지만 해황의 역동적 변동성 때문에 현장 관측으로 파악하기 매우 어렵다. 이 연구에서는 난수역의 평균적인(총)일차생산 배경값을 생지화학적 가설에 기반하여 추정하였다. 계산에 사용된 비혼합-부상 가설은 일단 일차생산이 오로지 대한해협을 통해 수송된 영양염에 의해서만 일어난다고 가정했을 경우로서, 결과($209\;gC\;m^{-2}\;y^{-1}$)는 발표된 위성기반 순일차생산력과 대등한 것으로 나타났다. 그런데 일차생산이 100% 신생산에 의존한다고 가정했었기 때문에 이 구속을 풀어 신생산지표를 0.6이라 가정하면 일차생산력은 40% 가량 높아진다. 결과는 오로지 대한해협을 통해 유입되는 영양염만으로도 기존에 알려진 일차생산을 지지하고도 남음을 말해준다. 그런데 배경값을 구하기 위해 배제시켰던 여러 가지 변동 요인들, 예컨대 용승, 지하수 유입, 대기 유입, 해양 투기, 태풍 등 배경에 더 해지는 교란은 모두 일차생산을 추가로 부양하는 요인이고, 여기에 아직 정량화 되지 못한 초미소남세균의 광합성에 대한 기여까지 고려하게 되면 실제 일차생산력은 배경값의 두 배 이상도 가능할 것으로 추정된다. 이 경우에 일차생산력은 신생산지표가 0.6으로 알려진 페루 용승역과 비등한 규모가 된다.

• 한국해양학회지:바다
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• 제15권3호
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• pp.124-132
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• 2010

해양 식물플랑크톤 일차생산력의 전 지구적 중요성에도 불구하고 자료 처리상의 어려움 때문에 국내에서는 신뢰할만한 자료가 많지 않다. 식물플랑크톤 일차생산력은 시간-수심 적분 과정을 거쳐 최종적으로 단위 면적당 하루 일차생산력을 구하지만, 시간 적분에 대한 연구결과는 많지 않은 편이다. 본 연구에서는 단위 시간당 일차생산력을 시간 적분하여 하루 일차생산력을 계산하는 수학적 모델을 제시하고 새만금호를 대상으로 모델의 실효성을 검정해 보았다. 검정 결과, 시간 적분 모델이 일사량 실측치를 대입하여 합산한 결과와 잘 일치하였다. 일차생산력 계산을 위한 기초 광량 자료는 변화가 심한 일 자료보다 한 달 또는 한 주간 평균 자료를 대입하는 것이 더 신뢰성 있는 결과에 도움이 되는 것으로 판단되었다. 일차생산력 수직적분은 수직적으로 불균일한 식물플랑크톤 분포 때문에 어려움이 있으나, 엽록소 분포를 몇 가지 유형으로 분류하여 수식화한 다음, 각 수식을 시간 적분한 일차생산력 모델과 합성하여 적분하면 해결할 수 있을 것으로 판단된다.

• 한국해양공학회지
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• 제15권4호
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• pp.53-59
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• 2001

The Primary Production of phytoplanktons produces organic matter in high concentration in eutrophicated Hakata Bay, Japan, even during the winter season in spite of low water temperature. Phytoplanktons are considered to have any biological capabilities to keep activities of photosynthesis under the unfavorable conditions, and this affects water quality of the bay. In this study, seasonal variations in primary production efficiency were predicted by using a simple box-type ecosystem model, which introduced the concept of efficiency for absorption of solar radiation energy in relation to growth of phytoplanktons under the low solar radiation intensity. According to the simulation result of primary production, it was organic pollution comes from dissolved organic carbon (DOC) throughout the year, DOC of which is originated from the primary production of phytoplanktons on biological response of the seasonal variation of ambient conditions.

• 대한원격탐사학회지
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• 제26권2호
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• pp.221-237
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• 2010

해양의 일차생산 측정에 있어 인공위성자료의 활용은 연구선 등을 활용한 기존 조사방법이 갖고 있는 시 공간상의 제한을 많이 개선할 수 있다. 하지만, 황해와 같이 탁한 해역에서의 일차생산 추정은 해수의 광학특성에 의해 여전히 많은 문제점을 가지고 있다. 본 연구에서는 현재 수준에서 가용한 황해의 일차 생산 추정방법들을 비교 평가하였다. 즉, 네 가지의 엽록소-a 추정 알고리듬과 두 가지의 일차생산 추정 알고리듬을 사용하여 각기 다른 조합들이 일차생산 추정에 있어 어떤 차이를 보이는지 알아보았다. 여덟가지 조합에 의해 추정된 황해 중부의 일차생산력은 96.5 에서 $610.2\;gC\;m^{-2}\;yr^{-1}$의 범위값을 가졌다. 최근 한 중 일 연구자들에 의해 공동으로 개발 중인 새로운 엽록소 알고리듬은 탁한 해역에서 표준알고리듬이 잘 맞지 않는 문제를 일부 해결했으나 여전히 해결해야 할 문제를 남겼다. 실측 광합성 매개변수를 새로 적용한 일차생산 추정 알고리듬 또한 개선이 필요하다.

• 임산에너지
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• 제21권1호
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• pp.25-31
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• 2002

경상북도 포항 지역에서 생육하는 평균 수령 37년생 상수리나무 천연림 생태계의 지상부 현존생물량 및 연순생산량을 분석하기 위해 2001년 8월에 총 10주의 표본목을 선정 벌목하였다. 수식 Wt=aD/sup b/ 를 사용하여 추정한 지상부 총 현존생물량은 115.47ton/ha으로 나타났다. 부위별 구성비는 수간목부 63.9%, 생지부 19.8%, 수피 14.0%, 그리고 잎 1.2%의 순으로 높았다. 총 연순생산량은 7.89ton/ha이었으며, 부위별 구성비는 현존생물량의 경우와는 다르게 수간목부, 수피, 생지부, 그리고 잎의 순 이었다.

• ALGAE
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• 제35권3호
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• pp.237-252
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• 2020

Temperate rocky reefs dominated by the giant kelp, Macrocystis pyrifera, support diverse assemblages of benthic macroalgae that provide a suite of ecosystem services, including high rates of primary production in aquatic ecosystems. These forests and the benthic macroalgae that inhabit them are facing both short-term losses and long-term declines throughout much of their range in the eastern Pacific Ocean. Here, we quantified patterns of benthic macroalgal biomass and irradiance on rocky reefs that had intact kelp forests and nearby reefs where the benthic macroalgae had been lost due to deforestation at three sites along the California, USA and Baja California, MEX coasts during the springs and summers of 2017 and 2018. We then modeled how the loss of macroalgae from these reefs impacted net benthic productivity using species-specific, mass-dependent rates of photosynthesis and respiration that we measured in the laboratory. Our results show that the macroalgal assemblages at these sites were dominated by a few species of stipitate kelps and fleshy red algae whose relative abundances were spatially and temporally variable, and which exhibited variable rates of photosynthesis and respiration. Together, our model estimates that the dominant macroalgae on these reefs contribute 15 to 4,300 mg C m^-2 d^-1 to net benthic primary production, and that this is driven primarily by a few dominant taxa that have large biomasses and high rates of photosynthesis and / or respiration. Consequently, we propose that the loss of these macroalgae results in the loss of an important contribution to primary production and overall ecosystem function.

• 한국환경과학회지
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• 제8권5호
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• pp.575-586
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• 1999

From the environmental aspects, primary productivity of phytoplankton plays the most improtant role in enhancement of marine culture oyster production. This study may be divided into two branches; one is estimation of maximum oyster meat production per unit facility(Carrying Capacity) under the present enviromental conditions in Kamak Bay, the other is improvement of carrying from increase of primary productivity by changing the environmental conditions that cause not ot form an unfavorable environment such as the formation of oxygen deficient water mass using the eco-hydrodynamic model. By simulation of three-dimensional hydrdynamic model and ecosystem model, the comparison between observed and computed data showed good agreement. The results of sensitivity analysis showed that phytoplankton maximum growth rate was the most important parameter for phytoplankton and dissolved oxygen. The estimation of mean primary productivity of Wonpo, Kamak, Pyongsa, and Kunnae culture grounds in Kamak Bay during culturing period were 3.73gC/$m^2$/d, 2.12gC/$m^2$/d, 1.98gC/$m^2$/d, and 1.26gC/$m^2$/d, respectively. Under condition not ot form the oxygen deficient water mass, four times increasing of pollutants loading as much as the present loading from river increased mean primary productivity of whole culture grounds to 4.02gC/$m^2$/d. Sediment N, P fluxes that allowed for 35% increasing from the present conditions increased mean primary productivity of whole culture grounds to 3.65gC/$m^2$/d. Finally, ten times increasing of boundary loadings from the present conditions increased mean primary productivity of whole culture grounds to 3.95gC/$m^2$/d. The maximum oyster meat production per year and that of unit facility in actual oyster culture grounds under the present conditions were 6,929ton and 0.93ton, respectively. This 0.93ton/unit facility is considered to be the carrying capacity in study area, and if the primary productivity is increased by changing the environmental conditions, oyster production can be increased.

• Journal of Plant Biology
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• 제25권3호
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• pp.123-133
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• 1982

The tropic structure and the function of a small pone ecosystem under the tree stand were studied in terms of energy flow. About 28% of total solar radiation was intercepted by the tree canopy over the pond. Primary producers converted 1.1%(3,382 kcal$\cdot$$m^{-2}$$\cdot$$y^{-1}$) of solar radiation (320,000 kcal$\cdot$$m^{-2}$$\cdot$$y^{-1}$) into gross primary production. The amount of energy availble to the pond snail was 1,683 kcal.m-2.y-1 of the net production by primary producers and 1,033 kcal$\cdot$$m^{-2}$$\cdot$$y^{-1}$ of the litter fallen into the pond. The amount of gross secondary production by the pond snail was 245 kcal$\cdot$$m^{-2}$$\cdot$$y^{-1}$. Judging from these, supply of both net primary production and the litter was indispensable for the maintenance of the pond ecosystem. The total amont of energy as gross primary production plus litter was 4,415 kcal$\cdot$$m^{-2}$$\cdot$$y^{-1}$(100%). Since the total respiration loss was calculated to be 1,917 kcal$\cdot$$m^{-2}$$\cdot$$y^{-1}$(43.4%), the rate of energy accumulation in the pond estimated to 56.6%.

• Journal of Plant Biotechnology
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• 제5권4호
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• pp.193-195
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• 2003

A major goal of agricultural biotechnology is the discovery of genes or genetic loci which are associated with characteristics beneficial to crop production. This knowledge of genetic loci may then be applied to improve crop breeding. Agriculturally important genes may also benefit crop production through transgenic technologies. Recent years have seen an application of high throughput technologies to agricultural biotechnology leading to the production of large amounts of genomic data. The challenge today is the effective structuring of this data to permit researchers to search, filter and importantly, make robust associations within a wide variety of datasets. At the Plant Biotechnology Centre, Primary Industries Research Victoria in Melbourne, Australia, we have developed a series of tools and computational pipelines to assist in the processing and structuring of genomic data to aid its application to agricultural biotechnology resear-ch. These tools include a sequence database, ASTRA, for the processing and annotation of expressed sequence tag data. Tools have also been developed for the discovery of simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) molecular markers from large sequence datasets. Application of these tools to Brassica research has assisted in the production of genetic and comparative physical maps as well as candidate gene discovery for a range of agronomically important traits.