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
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
1. Introduction
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
500000km2
北緯23度至32度，東至琉球島弧，西至大陸沿岸
三峽大壩對東海的影響
2. Material and methods
1995年5月~ 1998年10月
春
夏
夏
春
冬
春
夏
秋
2. Material and methods
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
Chlorophyll a ：葉綠素
濃度
現場螢光檢測
計(10-AU-005, Turner
Design)
Rs
RB
Rs  RBW
 PP
R*N
Primary productivity：
基礎生產力
C14 assimilation method
2. Material and methods
IP：透光層總基礎生
產量
梯形法則

b
a
ba
f  x  dx 
f  x0   2 f  x1   ...  2 f  xn1   f  xn  

2n
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
optimal daily-integrated
specific primary productivity (PBopt)
HOUR
DAY
3.1. Variations in the parameters
used in the model
E0
Kd
SST
PBopt
Fig.2. 各個參數在不同季節的變動
CS
IP
Fig.3. 各個參數的範圍及
頻率分布
Table.1. 各參數的平均數和最大、最小值
3.21 < 4.54
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
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
 IP  2.512 C
1 0.957
d
P K 
B
S opt
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).
Megard
3.3.1
SST–PBopt relationship
P  286.17  49.166 SST
B
opt
2.543SST   0.0435 SST 
2
Falkowski
SST和PBopt的相關性
Model IP and IP實測值
的相關性
3
3.3.2
E0–PBopt relationship
P  3.55  3.036  E 0   0.124  E 0 
B
opt
2
0.002  E 0   1.14*10
3
E0 和 PBopt的相關性
Model IP and IP實測值
的相關性
5
E0 
4
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.
chlorophyll a
PBopt
IP
K-1d
 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
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.

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.

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.