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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/80883
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dc.contributor.advisor林增毅(Tzeng Yih Lam)
dc.contributor.authorPin-Shiun Chenen
dc.contributor.author陳品洵zh_TW
dc.date.accessioned2022-11-24T03:20:22Z-
dc.date.available2022-02-16
dc.date.available2022-11-24T03:20:22Z-
dc.date.copyright2022-02-16
dc.date.issued2022
dc.date.submitted2022-02-10
dc.identifier.citationAdame, P., J. Hynynen, I. Canellas, and M. del Río. 2008. Individual-tree diameter growth model for rebollo oak (Quercus pyrenaica Willd.) coppices. Forest Ecology and Management 255:1011-1022. Cao, Q., and M. Strub. 2008. Evaluation of four methods to estimate parameters of an annual tree survival and diameter growth model. Forest Science 54:617-624. Cao, Q. V. 2000. Prediction of annual diameter growth and survival for individual trees from periodic measurements. Forest Science 46:127-131. Chen, P.-Y. 2012. Effects of Spacing on the Relationship between Cryptomeria japonica Ring Width and Climate Factors. National Taiwan University (Master thesis). Chen, T.-Y., C.-J. Lin, C.-H. Chung, and P.-Y. Chen. 2013. Tree Ring Analysis of Taiwan Beech. Forest Products Industries 32:185-202. Chiou, C.-R., W.-H. Chan, and S.-I. Yang. 2014. Establishing the Comparison Baseline of DBH Growth in Japanese Cedar (Cryptomeria Japonica D. Don) Plantations in Taiwan. Quarterly Jounal of Chinese Forestry 47:287-296. Chiou, C.-R., C.-P. Cheng, and S.-I. Yang. 2013. Application of Growth Models in Tree Growth in Taiwan. Quarterly Jounal of Chinese Forestry 46:545-557. Coble, D. W., Q. V. Cao, and L. Jordan. 2012. An Annual Tree Survival and Diameter Growth Model for Loblolly and Slash Pine Plantations in East Texas. Southern Journal of Applied Forestry 36:79-84. Gladstone, W., and F. T. Ledig. 1990. Reducing pressure on natural forests through high-yield forestry. Forest Ecology and Management 35:69-78. Hann, D. W., D. D. Marshall, and M. L. Hanus. 2003. Equations for predicting height-to-crown-base, 5-year diameter-growth rate, 5-year height-growth rate, 5-year mortality rate, and maximum size-density trajectory for Douglas-fir and western hemlock in the coastal region of the Pacific Northwest. Lai, Y.-R. 2011. The Application of Growth Models on Individual Tree Growth for Taiwan red cypress (Chamaecyparis formosensis) and Japanese cedar (Cryptomeria japonica) plantations. National Chung Hsing University (Master thesis). Lam, T. Y., and B. T. Guan. 2020. Modeling stand basal area growth of Cryptomeria japonica D. Don under different planting densities in Taiwan. Journal of Forest Research 25:174-182. Lin, S.-T., C.-J. Lin, C.-Y. Lin, C.-L. Lin, C.-P. Wu, and C.-H. Chung. 2013. Effects of Row Thinning on the Residual Stand Tree-Ring Growth of Cryptomeria Japonica Plantation. Jounal of Chinese Forestry 46:293-309. Lin, Y.-H. 2009. Stand Basal Area Growth and Yield of Japanese Cedar in a Spacing Trail. National Taiwan University (Master thesis). McDill, M. E., and R. L. Amateis. 1993. Fitting discrete-time dynamic models having any time interval. Forest Science 39:499-519. Nord-Larsen, T. 2006. Modeling individual-tree growth from data with highly irregular measurement intervals. Forest Science 52:198-208. Richards, F. 1959. A flexible growth function for empirical use. Journal of experimental Botany 10:290-301. Schnute, J. 1981. A versatile growth model with statistically stable parameters. Canadian Journal of fisheries and aquatic sciences 38:1128-1140. Schumacher, F. X. 1939. A new growth curve and its application to timber yield studies. Journal of forestry 37:819-820. Shih, C.-Y. 2014. Predicting Basal Area Growth of Japanese Cedar (Cryptomeria japonica) Plantations under Different Planting Densities based on Growth Models. National Chung Hsing University (Master thesis). Shih, C.-Y., T.-M. Yen, and Y.-N. Wang. 2021. Comparison of various growth functions for predicting long-term stand development associated with different initial spacing in 64-year-old Japanese cedar (Cryptomeria japonica (Lf) D. Don) plantations. Annals of Forest Research 64:87-97. Siry, J. P., F. W. Cubbage, and M. R. Ahmed. 2005. Sustainable forest management: global trends and opportunities. Forest policy and Economics 7:551-561. Von Bertalanffy, L. 1957. Quantitative laws in metabolism and growth. The quarterly review of biology 32:217-231. Wang, T.-T., K.-Y. Tai, K.-M. Chiao, and C.-F. Shi. 1966. Spacing Study In Cryptomeria plantations. Special publication of the College of Agriculture, National Taiwan University 17:1-48. Wang, Y.-N., T.-M. Yen, L.-E. Li, and Y.-T. Chen. 2011. The Effects of Space on Basal Area Growth and Survival of Japanese Cedar (Cryptomeria japonica). Journal of the Experimental Forest of National Taiwan University 25:129-138. Weiskittel, A., C. Kuehne, J. P. McTague, and M. Oppenheimer. 2016. Development and evaluation of an individual tree growth and yield model for the mixed species forest of the Adirondacks Region of New York, USA. Forest Ecosystems 3:1-17. Weiskittel, A. R., S. M. Garber, G. P. Johnson, D. A. Maguire, and R. A. Monserud. 2007. Annualized diameter and height growth equations for Pacific Northwest plantation-grown Douglas-fir, western hemlock, and red alder. Forest Ecology and Management 250:266-278. Weiskittel, A. R., D. W. Hann, J. A. Kershaw Jr, and J. K. Vanclay. 2011. Forest growth and yield modeling. John Wiley Sons. Yang, R. C., A. Kozak, and J. H. G. Smith. 1978. The potential of Weibull-type functions as flexible growth curves. Canadian Journal of Forest Research 8:424-431.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/80883-
dc.description.abstract林木生長量一直是林業經營者想了解的重要資訊,為了瞭解每年氣候變化以及更密集的林業經營策略對林木生長量的影響,使用年生長化林木生長模型是有必要的(Weiskittel et al. 2007)。本研究之重點為如何「驗證」年生長化樹木生長模型,由於林木的生長量通常為週期性的調查,缺乏每年度的生長資訊,因此使用擁有每年生長量資訊的樹輪資料進行驗證來解決這項問題。 本研究的區域位於南投縣,隸屬於臺大實驗林的溪頭營林區,為1950年設置的柳杉(Cryptomeria Japonica)不同栽植距離長期試驗地(僅使用2x2、3x3、4x4、 5x5公尺栽植距離之資料)。該試驗地的週期性調查資料(分別於1955、1960、1965、1980、1985、1995、2000、2005、2010、2015年)將用於建立年生長化單木胸高直徑模型;而該試驗地的樹輪資料,則是來自於陳柏因(2012)年的論文,鑽取於2008、2009年的樹芯資料,將用於驗證模型建立後的準確度。 本研究最終採用之年生長化單木胸高直徑模型改寫自Weiskittel et al. (2016):∆D=exp⁡(b_0+b_1.ln⁡(D)+b_2.D+b_3.(BAL)+b_4.√BA+b_5.SDEN) 由於此模型是由沒有樹論資料的週期性調查資料所建立的,因此使用線性插值法來推估每年的BAL、BA及SDEN。在模型建立後,將使用模型預測有樹輪資料的週期性調查資料,並將模型得出的每年生長量與樹輪資料進行比較,來評估模型的準確性。 最終建立的模型如下: ∆D=exp⁡(0.6955+0.3581*ln⁡(D)-0.2609*D-0.1307*(BAL)+1.3920*√BA-0.0018*SDEN) 其中,參數D、BAL及SDEN為負值而參數ln⁡(D)及√BA)為正值。當林齡達衰退期時,其生長量會降低,因此當胸高直徑越大時,其生長量(參數D)越低;而當林木競爭越強烈時,其生長量也會越低,因此當林分中比目標樹木生長量大的林木的胸高段面積(BAL)越大,生長量亦會降低。 在模型驗證方面,資料整體之平均偏誤為-0.0131公分(15.92%),平均絕對偏誤為0.3477公分(72.14%)。模型推估之生長量在2x2及3x3栽植距離有高估的情形,而在4x4及5x5則有低估之情形,顯示林木在栽植距離大時擁有更大之生長量。雖然有將每年的樣區密度(SDEN)納入模型,但初始栽植距離對林木之影響仍不容忽視。zh_TW
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Previous issue date: 2022
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dc.description.tableofcontentsTable of Contents 致謝 i 中文摘要 ii Abstract iv List of Figures vii List of Tables viii Symbols of the Core Model ix 1. Introduction 1 2. Literature review 4 2.1 Diameter growth model for Cryptomeria Japonica D. Don 4 2.2 Annualized individual tree growth model 11 3. Materials and Methods 19 3.1 Data 19 3.2 Method 23 3.3 Model estimation and validation 26 4. Results 29 4.1 Annualized Diameter Increment Model for Cryptomeria japonica 29 4.2 Model Validation 31 5. Discussion 35 5.1 Annualized Diameter Increment Model for Cryptomeria japonica 35 5.2 Model Validation 36 5.3 Recommendation 36 6. Conclusion 37 7. Literature Cited 38
dc.language.isoen
dc.subject柳杉zh_TW
dc.subject胸高直徑zh_TW
dc.subject單木生長模型zh_TW
dc.subject年生長化zh_TW
dc.subject樹輪資料zh_TW
dc.subjectAnnualizeden
dc.subjectIndividual diameter increment modelen
dc.subjectCryptomeria japonicaen
dc.subjectTree ring dataen
dc.subjectAnnualized diameter increment modelen
dc.title以樹輪資料驗證柳杉年生長化單木胸高直徑模型zh_TW
dc.titleValidating Annualized Diameter Increment Model with Tree Ring Data for Cryptomeria japonica Plantationen
dc.date.schoolyear110-1
dc.description.degree碩士
dc.contributor.oralexamcommittee鄭舒婷(Yu-Shan Wu),顏添明(San-Yi Yang)
dc.subject.keyword年生長化,單木生長模型,胸高直徑,柳杉,樹輪資料,zh_TW
dc.subject.keywordIndividual diameter increment model,Tree ring data,Cryptomeria japonica,Annualized diameter increment model,Annualized,en
dc.relation.page42
dc.identifier.doi10.6342/NTU202200299
dc.rights.note同意授權(限校園內公開)
dc.date.accepted2022-02-11
dc.contributor.author-college生物資源暨農學院zh_TW
dc.contributor.author-dept森林環境暨資源學研究所zh_TW
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