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森林系副教授林增毅參與美加西北岸森林測計學大會  探討特殊取樣法評估生物多樣性

 

        加拿大英屬哥倫比亞大學(UBC)與國際林學研究機構聯盟(IUFRO)於6月21至22日聯合舉辦線上「2021美加西北岸森林測計學大會(2021 Western Mensurationists Meeting)」,台大森林系副教授林增毅受邀與會,並針對各式取樣法與快速生物多樣性評估的結合進行報告,精彩內容不僅獲廣大迴響,也有助後續研究發展。

        「美加西北岸森林測計學大會」是測計學領域中極為重要的會議之一,1968年開始舉辦,至今已有53年歷史,與會者皆為此領域中的重要學者。

        今年會議受疫情影響採線上進行,與會者超過130人,來自美國、加拿大、台灣、中國、南美洲等地,演講主題也涵蓋甚廣,從遙測、林木生長模式、取樣法理論與運用等領域皆有。

        林增毅於6月22日上午進行口頭報告,內容主要探討各式取樣法與快速生物多樣性評估的結合。林增毅指出,生物多樣性是森林經營非常重要的考量,然而,要大面積估計植物多樣性的數量以及分佈極為困難,完全依賴取樣得來的資料去估計,因此有必增加取樣的效率,才能夠在有限的人力資源下取得所需資料。

        林增毅參與109年度科技部計畫,研究探討一組特殊取樣法「Sampling-with-Covariate Designs」之效率,此取樣法的強項在於結合當地社區的人力資源進行快速評估得來的資訊進行有些的植物多樣性取樣。該報告不僅獲得熱烈迴響,其他學者也提供不同意見與問題,更有助研究後續發展。

 

林增毅在「2021美加西北岸森林測計學大會」線上會議進行演講。

Associate Professor Tzeng Yih Lam from the School of Forestry and Resource Conservation Participate in 2021 Western Mensurationists Meeting

        The 2021 Western Mensurationists Meeting held in 21-22 June was organized by University of British Columbia (UBC, Canada) and the International Union of Forest Research Organizations Unit 4.01.02 (IUFRO). Due to the pandemic, the meeting was held exclusively online. There were more than 130 participants at one time during the meeting coming from USA, Canada, Taiwan, China, and South America etc. The topics presented ranging from remote sensing, growth and yield, and sampling theory and applications. Western Mensurationists Meeting is an important meeting in this field with more than 50 years of history. Participants are mainly forest biometricians and mensurationists from all over the world.

        Prof. Lam presented during a morning session on 22 June. His presentation topic was about bridging sampling designs and rapid biodiversity assessment to estimate total number of local plant species. Biodiversity assessment is an integral part of forest management, but it is often difficult to quantity in a large area. It entirely depends on sampling for the information, and hence, it is vital that sampling designs are efficient to gather the necessary information under limited resources. This research applies a special group of sampling designs called the Sampling-with-Covariate Designs to integrate knowledge and assessment from local community in order to come up with an efficient diversity assessment sampling designs. There were many feedback and questions regarding the presentation that will help to move this research forward. This research is supported by the Ministry of Science and Technology Taiwan.

 Online oral presentation from Prof. Lam

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