臺灣博碩士論文加值系統

海洋初級生產力在晚第四紀全球碳循環及氣候變化上扮演重要角色。古海洋研究曾成功的利用岩心頂樣中的浮游有孔蟲群聚組成與衛星水色推估之初級生產力資料建立經驗方程，推估過去北印度洋與部份熱帶海域的海洋初級生產力變化。本研究以”冰河期海洋表面之多元指標方法重建”（MARGO）計畫中印度洋與西太平洋（20°E-180°E；30°N-65°S）區域905筆岩心頂樣資料，嘗試建立印度洋與西太平洋海域初級生產力的轉換方程。現代海洋初級生產力資料則採用SeaWiFS初級生產力估計值（1998-2007）。我們嘗試利用Imbrie-Kipp轉換方程法（IKTF）與現代類比法（MAT）推估初級生產力，並使用不同浮游性有孔蟲群聚組合及選取不同區域來比較各轉換方程的適用性。研究結果顯示選28種浮游有孔蟲豐度資料之結果皆明顯優於11種；而使用不同岩心頂樣分布區域測試則顯示各種轉換方程的估測表現大致相同，因此我們以印度洋-西太平洋區域校準資料庫進行此區域初級生產力之估測。並將此初級生產力經驗方程應用於西太平洋暖池岩心MD052928，重建暖池區晚第四紀初級生產力變化。本研究發現MD052928過去七萬年來暖池區初級生產力變化在冰期－間冰期時間尺度上冰期時較低、間冰期時較高，可能與海水面在冰期時降低，造成Hiri洋流減弱並導致沿岸湧昇流強度降低有關。

Marine primary production variability plays an essential role in modulating global carbon cycle that is a key component in regional/global climate changes. Estimating late Quaternary primary production by the uses of faunal-based transfer functions with modern satellite primary production data derived from chlorophyll a concentration has been successfully applied for the northern Indian Ocean and equatorial Pacific. However, few studies have been conducted for the western Pacific warm pool. Here we attempt to establish a paleo-productivity transfer function for estimating paleo-primary production in the tropical Indian and Pacific. We have compiled western Pacific and Indian coretop fauna data from the MARGO project (Multiproxy Approach for the Reconstruction of the Glacial Ocean Surface) and calibrated the fauna data by SeaWiFS data of chlorophyll a concentrations (1998-2007) for each coretop. In order to understand the sensitivities and accuracies of different methods for primary production estimates, we applied Imbrie-Kipp transfer function (IKTF) and Modern Analogus Technique (MAT) with different species abundance data of planktic foraminifer assemblages, or with different geographic subsets of coretop data. Our results indicate that the transfer function using 28 species abundance data is obviously better than that of 11 species. However, using different inputs of geographic subsets of coretops shows minor, insignificant differences in the performance of transfer function estimates. Therefore we consider the geographic distribution of coretops is not important and the whole western Pacific and Indian coretop data for calibration would be an optimum choice. We applied this transfer function applied to a western Pacific warm pool core MD052928, and found primary productivity changes on glacial to interglacial time scales are controlled regional current and upwelling, which are in response to changes in sea-levels.

目錄
摘要............................................................................................................ I
Abstract.................................................................................................... III
目錄.......................................................................................................... V
表目錄.................................................................................................... VII
圖目錄..................................................................................................... IX
壹、緒論..................................................................................................... 1
1.1前人研究....................................................................................... 1
1.2區域水文....................................................................................... 2
1.3研究目的....................................................................................... 3
貳、材料與方法......................................................................................... 4
2.1浮游性有孔蟲化石群聚與岩心頂樣資料選取........................... 4
2.2現代海洋初級生產力資料........................................................... 5
2.3海洋初級生產力推估方法........................................................... 6
2.3.1 Imbrie-Kipp轉換方程法.................................................... 7
2.3.2現代類比法......................................................................... 8
2.4海洋岩心....................................................................................... 9
參、研究結果........................................................................................... 11
3.1 Imbrie-Kipp傳統轉換方程法之初級生產力估測.................... 11
3.1.1以28及11種群聚估測印度洋-西太平洋區域結果........ 11
3.1.2以28種屬選取不同區域之估測結果.............................. 13
3.2現代類比法之初級生產力估測................................................. 14
3.2.1以28及11種群聚估測印度洋-西太平洋區域結果........ 14
3.2.2以28種屬選取不同區域之估測結果.............................. 14
肆、討論................................................................................................... 15
4.1 Imbrie-Kipp轉換方程法與現代類比法推估初級生產力結果之 比較........................................................................................... 15
4.2 MD052928之古初級生產力..................................................... 16
4.3 MD900963之古初級生產力..................................................... 16
4.4近七萬年來之初級生產力變化................................................. 17
伍、結論................................................................................................. 19
參考文獻................................................................................................. 21

參考文獻
李偲弘，2009。利用浮游有孔蟲資料重建西太平洋暖池古海水表面溫度（MD052928）。國立臺灣海洋大學應用地球科學研究所碩士論文，共57頁。
黃尹聖，2010。西太平洋晚第四紀之米蘭科維奇尺度的環境變遷:磁學參數之時間序列分析。國立中央大學地球物理研究所博士論文，共111頁。
廖尹千，2008。巴布亞新幾內亞東南海域岩心MD052928之最近三十萬年底棲有孔蟲氧同位素地層。國立臺灣海洋大學應用地球科學研究所碩士論文，共55頁。
Barrows, T.T., and Juggins, S., 2005, Sea-surface temperatures around the Australian margin and Indian ocean during the last glacial maximum: Quaternary Science Reviews, v. 24, p. 1017-1047.
Beaufort, L., Chen, M.T., Droxler, A.W., Yokoyama, Y., Balut, Y., and Rothe, S., 2005, MD148-PECTEN IMAGES XIII cruise report, Inst. Pol. Fr., Plouzaně, France.
Beaufort, L., Lancelot, Y., Camberlin, P., Cayre, O., Vincent, E., Bassinot, F., and Labeyrie, L., 1997, Insolation cycles as a major control equatorial Indian Ocean primary production: Science, v. 278, p. 1451-1454.
Behrenfeld, M.J., and Falkowski, P.G., 1997, Photosynthetic rates derived from satellite-based chlorophyll concentration: Limnology and Oceanography, v. 42, p. 1-20.
Bè, A.W.H., 1967, Foraminifera, families: Globigerinide and Globorotaliidae. In: J.H. Fraser (editor), Fiches d’Identification du Zooplancton, Cons. Int. Explor. Mer, Charlottenlund: Sheet 118.
Brunskill, G.J., 2004, New Guinea and its coastal seas, a testable model of wet tropical coastal processes: an introduction to Project TROPICS: Continental Shelf Research, v. 24, p. 2273-2295.
Cane, M.A., 1998, A Role for the Tropical Pacific: Science, v. 282, p. 59-61.
Cayre, O., Beaufort, L., and Vincent, E., 1999, Paleoproductivity in the Equatorial Indian Ocean for the last 260,000 yr: A transfer function based on planktonic foraminifera: Quaternary Science Reviews, v. 18, p. 839-857.
Chen, M.T., Huang, C.C., Pflaumann, U., Waelbroeck, C., and Kucera, M., 2005, Estimating glacial western Pacific sea-surface temperature: methodological overview and data compilation of surface sediment planktic foraminifer faunas: Quaternary Science Reviews, v. 24, p. 1049-1062.
Chen, S., and Qiu, B., 2004, Seasonal variability of the South Equatorial Countercurrent: J. Geophys. Res., v. 109, p. C08003.
de Garidel-Thoron, T., Beaufort, L., Linsley, B.K., and Dannenmann, S., 2001, Millennial-Scale Dynamics of the East Asian Winter Monsoon during the Last 200,000 Years: Paleoceanography, v. 16, p. 491-502.
Donguy, J.-R., and Meyers, G., 1996, Mean annual variation of transport of major currents in the tropical Pacific Ocean: Deep Sea Research Part I: Oceanographic Research Papers, v. 43, p. 1105-1122.
Field, C.B., Behrenfeld, M.J., Randerson, J.T., and Falkowski, P., 1998, Primary production of the biosphere: Integrating terrestrial and oceanic components: Science, v. 281, p. 237-240.
Hastenrath, S., 2009, Past glaciation in the tropics: Quaternary Science Reviews, v. 28, p. 790-798.
Hemleben, C.H., Spindler, M., and Anderson, O.R., 1989., Modern Planktonic Foraminifera, Springer-Verlag, New York.
Hutson, W.H., 1977, Transfer functions under no-analog conditions: Experiments with Indian Ocean planktonic Foraminifera: Quaternary Research, v. 8, p. 355-367.
Imbrie, J., and Kipp, N.G., 1971, A new micropaleontological method for Quantitative Paleoclimatology: Application to a late Pleistocene Caribbean Core, p. 71-181.
Ivanova, E., Schiebel, R., Singh, A.D., Schmiedl, G., Niebler, H.S., and Hemleben, C., 2003, Primary production in the Arabian Sea during the last 135,000 years: Palaeogeography Palaeoclimatology Palaeoecology, v. 197, p. 61-82.
Kessler, W.S., and Taft, B.A., 1987, Dynamic Heights and Zonal Geostrophic Transports in the Central Tropical Pacific during 1979–84: Journal of Physical Oceanography, v. 17, p. 97-122.
Kipp, N.G., 1976, New transfer function for estimating past sea-surface conditions from sea-bed distribution of planktonic foraminiferal assemblages in the North Atlantic. In: R.M. Cline and J.D. Hays (editor), Investigation of Late Quaternary Paleoceanography and Paleoclimatology, Memoir of Geological Society of America 145, p 3-41.
Kucera, M., Weinelt, M., Kiefer, T., Pflaumann, U., Hayes, A., Weinelt, M., Chen, M.T., Mix, A.C., Barrows, T.T., Cortijo, E., Duprat, J., Juggins, S., and Waelbroeck, C., 2005, Reconstruction of sea-surface temperatures from assemblages of planktonic foraminifera: multi-technique approach based on geographically constrained calibration data sets and its application to glacial Atlantic and Pacific Oceans: Quaternary Science Reviews, v. 24, p. 951-998.
Lea, D.W., Pak, D.K., and Spero, H.J., 2000, Climate Impact of Late Quaternary Equatorial Pacific Sea Surface Temperature Variations: Science, v. 289, p. 1719-1724.
Longhurst, A., Sathyendranath, S., Platt, T., and Caverhill, C., 1995, An Estimate of Global Primary Production in the Ocean from Satellite Radiometer Data: Journal of Plankton Research, v. 17, p. 1245-1271.
Mackey, D.J., Parslow, J., Higgins, H.W., Griffiths, F.B., and O'Sullivan, J.E., 1995, Plankton productivity and biomass in the western equatorial Pacific: Biological and physical controls: Deep Sea Research Part II: Topical Studies in Oceanography, v. 42, p. 499-533.
MARGO project Members, 2009, Constraints on the magnitude and patterns of ocean cooling at the Last Glacial Maximum: Nature Geosci, v. 2, p. 127-132.
Messié, M., and Radenac, M.H., 2006, Seasonal variability of the surface chlorophyll in the western tropical Pacific from SeaWiFS data: Deep Sea Research Part I: Oceanographic Research Papers, v. 53, p. 1581-1600.
Parker, F.L., 1962, Planktonic foraminiferal species in Pacific sediments. Micropaleontology 8,p 219-254.
Pflaumann, U., and Jian, Z., 1999, Modern distribution patterns of planktonic foraminifera in the South China Sea and western Pacific: a new transfer technique to estimate regional sea-surface temperatures: Marine Geology, v. 156, p. 41-83.
Reverdin, G., Frankignoul, C., Kestenare, E., and McPhaden, M.J., 1994, Seasonal variability in the surface currents of the equatorial Pacific: J. Geophys. Res., v. 99, p. 20323-20344.
Shiau, L.-J., Chen, M.-T., Clemens, S.C., Huh, C.-A., Yamamoto, M., and Yokoyama, Y., 2011, Warm pool hydrological and terrestrial variability near southern Papua New Guinea over the past 50k: Geophys. Res. Lett., v. 38, p. L00F01.
Watkins, J.M., and Mix, A.C., 1998, Testing the effects of tropical temperature, productivity, and mixed-layer-depth on foraminiferal transfer functions: Paleoceanography, v. 13, p. 96-105.
WOA, 1998, World Ocean Atlas 1998, version2, http://iridl.ldeo.columbia.edu/SOUR CES/NOAA/.NODC/.WOA98/.Technical report, National Oceanographic Data Center, Silver Spring, Maryland.
Yan, X.-H., Ho, C.-R., Zheng, Q., and Klemas, V., 1992, Temperature and Size Variabilities of the Western Pacific Warm Pool: Science, v. 258, p. 1643-1645.
Yokoyama, Y., De Deckker, P., Lambeck, K., Johnston, P., and Fifield, L.K., 2001, Sea-level at the Last Glacial Maximum: evidence from northwestern Australia to constrain ice volumes for oxygen isotope stage 2: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 165, p. 281-297.
Zaric, S., Donner, B., Fischer, G., Mulitza, S., and Wefer, G., 2005, Sensitivity of planktic foraminifera to sea surface temperature and export production as derived from sediment trap data: Marine Micropaleontology, v. 55, p. 75-105.