An empirical primary production model for the East China Sea 東海基礎生產力經驗模式

1. 09/04/13 An empirical primary production model for the East China Sea東海基礎生產力經驗模式 Gwo-Ching Gong*, Gong-Jen Liu Reporter:廖怡婷

2. 國科會「黑潮與東海陸棚交換過程研究」(ROC-KEEP)國科會「黑潮與東海陸棚交換過程研究」(ROC-KEEP) 全球海洋通量聯合研究 東海

3. 1. Introduction

4. 基礎生產力（primary production）： 單位面積或體積、時間中自營性生物所合成的有機質的量， 稱為基礎生產力。 primary production

5. 500000km2 長江沿岸水 黑潮湧升流 北緯23度至32度，東至琉球島弧，西至大陸沿岸

6. 三峽大壩對東海的影響 Three-Gorges Dam 東 海

7. 2.Material and methods 1995年5月~ 1998年10月 夏 春 夏 春 夏 秋 春 冬

8. E0：可利用於光合作用的輻射 水面上可見光偵測計(QSR-240, Biospherical Inc.) Kd：海水透光層內光消散係數 水面下可見光偵測計(QSP-200L, Biospherical Inc.) 2. Material and methods

9. Chlorophyll a ：葉綠素 濃度 現場螢光檢測計(10-AU-005, Turner Design) Primary productivity： 基礎生產力 C14 assimilation method Rs RB 2. Material and methods

10. IP：透光層總基礎生產量 梯形法則 2. Material and methods

11. 3. Results and discussion • We used optimal daily-integrated specific primary productivity（PBopt）within the euphotic zone to replace the term of the product of maximum specific primary productivity and day length in the scale factor. product of maximum specific primary productivity HOUR optimal daily-integrated specific primary productivity (PBopt) DAY

12. 3.1. Variations in the parameters used in the model CS E0 SST Kd PBopt IP Fig.2. 各個參數在不同季節的變動

13. Fig.3. 各個參數的範圍及 頻率分布

14. Table.1. 各參數的平均數和最大、最小值 3.21 < 4.54

15. 3.2. Primary production model Fig. 4. 八個航次的總基礎生產力和各參數的相關性

16. Fig.5.(A)IP和CS*PBopt *K-1d的相關性 (B) Model IP和IP實測值 的相關性

17. 3.3. PBopt model • The relative difference between PBopt and the surface water specific primary productivity was, on average, less than 10%. • The primary factors regulating PBopt are seawater temperature and the availability of solar irradiance (Li, 1980; Cullen, 1990).

18. 3.3.1 SST–PBopt relationship Megard Falkowski SST和PBopt的相關性 Model IP and IP實測值 的相關性

19. 3.3.2E0–PBopt relationship E0 和 PBopt的相關性 Model IP and IP實測值 的相關性

20. chlorophyll a IP PBopt K-1d • We found fairly good correlations between euphotic zone-IP and the products of sea surface chlorophyll a concentration，PBopt and K-1d .These findings may have been because of the nature of the ECS which is considered a highly dynamic region by virtue of the seasonal fluctuations of different water masses.

21. Earlier, a variety of empirical relationships, mostly based on SST, has been described for PBopt . The one developed here, however, is distinct in that it can also be based on sea surface irradiance. > R2=0.82 R2=0.70

22. 4. Conclusions This implies that the unique empirical production model that is presented here can be further applied for the estimation of primary production based on satellite information.

23. In future, a more mechanistic model for PBopt; one that not only accounts for observed variations but that also highlights the primary driving factors which lead to changes in the assimilation efficiencies, should be sought.

24. Such a model would provide guidance for future remote sensing missions and for other observational programs whose common mission is to determine the critical physical and chemical characteristics of various water masses and thereby evaluate carbon fixation.

25. THANKS FOR YOUR ATTENTION