農業環境技術研究所

最終更新日: 2012年7月17日

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農業環境技術研究所
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7月5日(木曜日) 生物多様性研究領域特別セミナー
7月26日(木曜日) 第523回気象談話会

生物多様性研究領域特別セミナー

日時: 平成24年7月5日(木曜日)
15:30~17:00
場所:農業環境技術研究所 5F  547会議室
テーマ 講演者 連絡先
The biological control of weeds in New Zealand; why we have a problem, how we manage that problem, how we develop a biocontrol programme and what weeds we are currently working on Hugh Gourlay
Landcare Research
New Zealand
鈴木
電話 838-8254
加茂
電話 838-8246
要旨

New Zealand has 10% of the world's flora naturalised in its environment. We now have a new plant species naturalises in New Zealand every 39 days. New Zealand has 2500 native species but around 40,000 introduced species and 3000 naturalised exotic species. New weed problems are emerging every year and our "Weeds Team" in Landcare Research is the only group working on the biological control of weeds in New Zealand. A biocontrol programme begins with a widespread and intractable weed, then we conduct field surveys, assess prospective biocontrol agents, host test them, apply to release the host specific species and then mass rear them for distribution around the country.

Our "Weeds Team" currently works on over 10 major invasive plant species.

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第523回気象談話会

日時: 平成24年7月26日(木曜日)
13:30~
場所: 農環研本館5F  547会議室
テーマ 講演者 連絡先
Analysis of random error on eddy covariance measurement for FluxPro as a realtime data assimilation system KIM Wonsik
福 岡
電話 838-8205
要旨

It is known from the theory, that the data assimilation DA system is optimal in case that 1) the model perfectly matches the real system, 2) both the process and the observation noises are white, and 3) those covariances are absolutely known. The effort to estimate the characteristics of error of DA system is deserved even thought it is impassible to construct the ideal DA system in real world. Especially, the understanding of the characteristics of random error on eddy covariance EC system is valuable for not only the DA system construction but also EC uncertainty analysis itself before the equipping DA scheme in FluxPro as a realtime data assimilation system. In the context, the error analysis of EC system have been investigated above all. As a result, we estimated the relative error E which is the value come from the standard deviation of 1 hr-covariance divided by the absolute covariance between vertical wind velocity and target scalar collected over various types of land cover and at different instrumental heights. We also investigated E characteristics according to a spatiotemporal scale and the flux averaging interval. As a result, we suggest that if E is estimated near the ideal EC measurement condition satisfying stationarity, it is stable and uniform value regardless of the land cover, spatiotemporal scale, and kind of flux. Based on the constancy of E, we determined the baseline, that is a white noise of EC measurement, as a function of the averaging interval.

テーマ 講演者 連絡先
Study on soil temperature and moisture model TAKIMOTO Takahiro
福 岡
電話 838-8205
要旨

The climatic changes and evaluation of their effects on agriculture in Asian monsoon region are ongoing under the research framework of the GReen Network of Excellence (GRENE). One of the aims of our team is to prepare soil temperature and moisture data as information platform to design adaptation and mitigation strategies of major crops against the predicted climatic changes. In this seminar, I will introduce the brief overview of soil temperature and moisture model, and discus some results.

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独立行政法人 農業環境技術研究所
305-8604 茨城県つくば市観音台 3-1-3
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