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台灣森林的葉全緣率與年均溫、降水之關聯

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!"#$%&'()*+,&-./01+)*&2 3456

School of Forestry and Resource Conservation College of Bioresource and Agriculture

National Taiwan University Master Thesis

7$./89:;<=>?@ABCDEF Leaf Margins and Their Relationships with Annual Temperature and Precipitation in Forests of Taiwan

GH I Chieh Tien

JKLMNOPQ R4 Advisor: Tzung-Su Ding, Ph.D.

STU! 100 > 6 V

June, 2011

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誌謝

總不會忘記,那稀疏而華美的景象 當陽光從樹梢間下墜,金暖碎落在肩 我貪婪地用盛夏的翠綠,灌溉心裡的菩提

老實說,我本來想研究台灣的懸鉤子哪一種比較適合園藝化(也就哪一種好 種又好吃),因為手工覆盆子果醬實在太美味了!當然,這個只有衝動無法行動 的提議很快就在各種考量下被駁回(笑)。於是我退而求其次,選擇了跟漂亮的 鋸齒葉有關的研究主題,這個研究說大膽還真有點大膽,因為台灣好像還沒人嘗 試過呢。幸好,幾番小波折後,終究把論文順利完成。

真的,這篇論文能夠完成,要感謝很多很多人。

首先要謝謝我的指導教授丁宗蘇老師,謝謝老師願意接納我這個在他出國進 修前兩星期才貿然跑去請老師收留,而且還不會認鳥的天兵學生;謝謝老師在我 兩年的研究生涯中持續給予各方面的關注,也給了很大的自由,讓我能從不同角 度去發展、解讀自己的研究主題;謝謝老師,在最後要口試那段大家都焦頭爛額 的時期,花心力幫我仔細找出論文很多大大小小的謬誤,還幫我請到了非常專業 的口試委員們,如果不是丁老師,我想論文一定沒辦法這麼順利問世。

在口試本完成以及口試之際,承蒙擔任口試委員的謝長富老師、鹿兒陽老師、

江智民老師,以及林宜靜老師,仔細閱讀我的論文,給予鼓勵之外,也一一提點 了邏輯、圖表、統計,甚至是引用文獻的錯誤,並提出了非常專業的修改及發展 面向的建議。

謝謝401的夥伴們,咪挺時總不吝於給我建議或肯定,特別是阿霞、佩蓉、柯 柯、勁廷、大利、Devil、馥蔓,還肩負了聽我吐槽或吐槽我的艱鉅任務,辛苦你 們了,願還沒畢業的都能高分通過英檢,順利在年限內畢業!已畢業的職場或學

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術生涯順遂!也要謝謝助理張美姊,讓我總能迅速完成申請或請領經費,真的,

研究室有這樣專業的助理很幸福耶。

好,我要開始感謝我的親朋好友了,哈哈。謝謝文宜、小隻、章璿、菜菜、

柏因、狗狗、小叮噹、羅小鈞、洪志祐、王宇廷、國王、安琪、毓芩、讓我跟出 差的關老師研究室、咖啡很好喝而且會聽我抱怨的Peloso...還有我可能忘記的一些 朋友們,謝謝你們在這兩年或更長久的時間中給予我研究的各項建議跟幫助,還 有最重要的精神支持及鼓勵,謝謝!

當然,說到幫助,不能不提建融、政道跟建丞,非常非常謝謝你們總是無償 而樂意幫我解決各種資料、統計,甚或是情緒上的困擾,不斷分享自己的經驗安 慰我,跟我一起買醉吃鹹酥雞,下海幫我解決失心瘋買的大堆甜點,讓我不用怕 只胖自己(真是太墮落了),就這樣陪我度過了人生最大的學業考驗。沒有你們,

這篇論文絕對生不出來,能遇見你們真是我上輩子修來的福氣。

說到福氣,一定要謝謝我親愛的家人,我一定是燒過很多好香才有這麼棒的 父母跟弟弟!謝謝我最親愛的爸爸、媽媽,還有天生搞笑咖,帶給我很多歡笑的 田源、田川。很感謝很感謝,感謝上蒼給我如此開朗開明的父母,不管我選哪條 路,只要正正當當就支持到底,讓我能無後顧之憂地完成學業,還總是安慰我說,

人生跟有沒有完成論文沒關係,反正人有很多方法可以養活自己!讓我就算面臨 低潮也知道自己不孤單,撞個幾下牛角尖就馬上潰散,哈哈。謝謝田源,在我抱 怨的時候,還能找出自己更悲慘的遭遇讓我覺得自己其實沒那麼衰(但是這種安 慰方式很淒涼耶);謝謝田川,努力說笑話安慰我,小時候照顧你真沒有白費!

另外,也要謝謝人在台北,經常給予我生活補給還有打氣的外婆一大家子,謝謝 你們!

然後,謝謝林建融,真的,有你真好。一路走來,你是我最親密的戰友、夥 伴、後援,甚至有時還幫我打前鋒。雖然駁回研究懸鉤子提議的人是你,但是你 也很體貼地和我一起想了另一個我有興趣的研究主題,然後照應我所有需求,不

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停地鞭策(?)、鼓勵、陪伴我完成它。謝謝你,因為有你,我才沒有逃避該面 對的事物;謝謝你,在你了解我所有的歡笑、淚水跟醜態後,還願意和我一起面 對。回應你謝誌裡的那句,我願意,也請你在未來的日子跟我攜手同行ɴ很公平 吧,這樣以後如果要塗改,我們兩個人都要進圖書館一本一本拿出來,哈哈哈。

最後,謝謝包容我、成就我的任性的這個世界,希望即將畢業的我也能成為 推動社會的有用齒輪之一。雖然自己的研究不用出差,可是幾次當幫手的經歷會 是我一輩子都無法忘懷的記憶。感謝大地的恩賜,予我足夠的飲食,並讓我有幸 體會到自然的美。

一直記得的是

風輕柔吹撫,枝枒搖曳婆娑 天 那麼藍

而我跟鳥兒一起在樹的頂端

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Abstract

Leaf-margin analysis (LMA) is an univariate regression analysis based on the positive correlation between the ratio of woody dicotyledonous species with entire leaf margins and mean annual temperature, which is often applied to estimate paleo-climate. I used data of 844 plots from!26 native vegetation investigation reports in Taiwan and four climatic variables, mean annual temperature (MAT), annual precipitation, and precipitation of coldest and warmest season, to analyze the ratio of entire leave species (REL) and its correlation with MAT and precipitation in Taiwan and its six biogeoclimatic regions at habitat, mean habitat, and regional scales. The results indicate that: (1) at habitat scale, REL had significantly positive correlation with MAT and some precipitation factors, but the correlations with precipitation factors were much weaker. (2) REL was positively correlated with MAT at all scales. At habitat scale, because the plots were with small area and uneven distribution, REL of plots showed great variation and had weak correlation with MAT. Compiling data from multiple plots, preferably at least 15 plots (about 0.5 ha in total area), could yield consistent results. (3) The LMA regression model from larger multiple plots data was similar with regional scale LMA, indicating that using extreme distribution data could be a reliable data source for LMA. Therefore, using specimen information could compensate the shortcomings caused by insufficient and uneven sampling. (4) LMA regression models in this study all significantly differed from results in other countries. This may be due to the unique ecological environment and plant dispersal history in Taiwan. (5) At habitat scale, MAT was significantly positive correlated with REL in all biogeoclimatic regions.

But the Northeast, Northwest and Central-west regions had significantly lower slopes of regression than Southwest and East regions. Due to uneven and limited

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plots in each region, further studies are needed to examine the detail differences among the biogeoclimatic regions. In conclusion, LMA has high potential in Taiwan and results will fill the current information void in East Asia.

Keywords: Regression analysis, temperature gradient, altitude, toothed leaves, Taiwan

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68-6

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