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MAPPING AND NUTRIENT ENRICHMENT STUDIES OF SEAGRASS BEDS IN SEPANGGAR BAY, SABAH
Marjorie Anak Albert Chagat
a
9 I E
Master of Science (Aquatic Biology)
2005
Pusat Khidmat Makluwuat Akasjemiic tINIVERSITI MALAYSIA SARAWAK
MAPPING AND NUTRIENT ENRICHMENT STUDIES OF SEAGRASS BEDS IN SEPANGGAR BAY, SABAH
P. KHIOMAT MAKLUMAT AKAOEMIK
iiiiiiiiilTl'liIb 1111111111 1000246264
MARJORIE ANAK ALBERT CHAGAT
A thesis submitted in fulfillment of the requirements for the degree of Master of Science
Faculty of Resource Science and Technology UNIVERSITI MALAYSIA SARAWAK
2005
ACKNOWLEDGEMENTS
Deepest gratitude to my father, Albert Chagat Lemada, mother, Esther Agit Beriak,
brothers, Johannes, Alexander, Samuel Mengga and Gordon and my only sister Angelo
Enching for the encouragement and perseverance throughout these years. Not forgotten,
friends, Jessica Bartholomew Ujah, Flora Bungan Balang, Inja Hellegers Achong,
Pauline Robert Ero, Felicia Dorothea, Priscilla Simba and others not mentioned here.
The staffs, officers and individuals, who helped during the field surveys and lab work,
thank you for the kindness and memorable moments, especially to Pakcik Sahrol
Hamzah, Pakcik Megat, Pakcik Zaidi and Pakcik Fardos. Special thanks to my
supervisor, Dr. Norhadi Ismail for his support, assistance, guidance, and supervision
throughout the course of this study. Lastly, I wish to thank the Ministry of Science,
Technology and Environment (MOSTE) for the scholarships awarded under the National
Science Fellowship, the Malaysian Center for Remote Sensing (MACRES) for the SPOT
satellite image and Semonggok Research Center for the nutrient analysis.
11
Abstract
(Remotely sensed images from SPOT-4 satellite were used to map the distribution of
seagrass habitat in Sepanggar Bay, Sabah. Ground truthing was carried out at the
study sites to determine the actual underwater features and then compared to those in
the images. Five major cover types were identified during the survey, namely seagrass,
seaweeds, mix seagrass and seaweeds, live and dead corals and bare sand. Seven species
of seagrasses were found including Enhalus acoroides, Cymodocea serrulata, C.
rotundata, Halophila ovalis, Thalassia hemprichii, Halodule uninervis and Syringodium
lsoetifollum. Digital image processing software (Integrated Land and Water Information
System, ILWIS) was applied to the images for the development of seagrass thematic
maps using a supervised classification procedure. ) The overall maps accuracies for North
Sepanggar Bay, Sepanggar Island and South Sepanggar Bay were 63.5 %, 56.3 % and
59.2 %, respectively. Despite the low accuracy, the present baseline seagrass maps are
still useful for conservation and management plan of the area.
Along with mappings, nutrient enrichment studies were also conducted to determine the
nutrient status of the seagrass in the bay. Enhalus acoroides at South Sepanggar Bay
and Cymodocea serrulata at Sepanggar Island were enriched with two loads of time-
released fertilizer; high load (+NPK; 70.4 gm-2) and low load (+NPK; 35.2 gm-2). After 3
months of fertilization, tissue nitrogen concentrations in aboveground and belowground
parts of the E. acoroides were significantly increased in response to both the low and
high loads of fertilizers. However, the aboveground tissues of C. serrulata did not exhibit
significant results in response to low load fertilization. Other parameters, chlorophyll
production, shoot growth rates and biomass was not significantly increased during the
iii
three months enrichment period. Hence, tissue nitrogen content is the appropriate
parameter for short study using time-released fertilizer. Concentrations of ammonium
and phosphate in the sediment pore water and water column were also increased. At the
end of the nutrient additions ammonium concentrations in pore water and water column
at Station 1 (Sepanggar Island) were found increased with concentrations in the
fertilized plots ranged from 0.006 - 0.008 µM and 0.004 - 0.006 µM in the control plots in
response to both high and low load fertilizations. However, the concentrations of
phosphate in sediment pore water and water column in fertilized plots (0.003 - 0.004
µM) were comparable to that of the controls (0.004 . tM), both under high and low load
enrichments. At Station 2 (South Sepanggar), results indicated that concentrations of
ammonium and phosphate increased in the fertilized plots (ranging from 0.008 to 0.018
pM and 0.005 to 0.011 pM respectively) at the end of the enrichment experiments as
compared to those in the control plots (ammonium 0.003 - 0.011 pM and phosphate 0.001
- 0.006 µM).
iv
Abstrak
Pemetaan dan K$jian Pengkayaan Nutrien Kawasan Rumput Laut di Teluk Sepanggar,
Sabah
Imej penderiaan jauh dari satelit SPOT-4 telah digunakan dalam pemetaan taburan
habitat rumput laut di Teluk Sepanggar, Sabah. Pengamatan di lapangan dilakukan
untuk menentukan cirl-clri sebenar dibawah air dan kemudiannya dibandingkan
dengan yang terdapat pada imej. Dalam tiiljauan tersebut, 5 jenis `covertype' utama
telah dikenalpasti iaitu rumput laut, rumpai laut, campuran rumput dan rumpai laut,
karang hidup dan mati serta pasir. Tujuh spesies rumput laut juga telah ditemui iaitu
Enhalus acoroides, Cymodocea serrulata, C. rotundata, Halophila ovalis, Thalassia
hemprichii, Halodule uninervis dan Syringodium isoetifolium. Perisian pemprosesan
imej digital (Integrated Land and Water Information System, ILWIS) telah digunakan
dalam pembentukan peta bertema melalui prosedur pengkelasan berpenyelia.
Ketepatan keseluruhan bagi peta Teluk Sepanggar Utara ialah 63.5 % 56.3 % untuk
Pulau Sepanggar dan 59.2 % untuk Teluk Sepanggar Selatan. Walaupun ketepatan
keseluruhan peta peta tersebut adalah rendah, peta yang dihasilkan masih boleh
difadikan rujukan dalam pengurusan dan pemuliharaan habitat rumput laut di
ka wasan ini.
Disamping pemetaan, satu k$jian pengkayaan juga telah dilakukan untuk menentukan
status nutrien bagi rumput laut di teluk tersebut. Dalam k4jian ini, Enhalus acoroides
di Teluk Sepanggar Selatan dan Cymodocea serrulata di Pulau Sepanggar telah
diberikan bgja kadar lambat-lepas menggunakan dua ferns muatan iaitu muatan tinggi
V
(+NPK, 70.4 gm-2) dan muatan rendah (+NPX- 352 gm-2). Selepas Liga bulan
pemb4jaan, kebanyakan kandungan nitrogen di dalam tisu bahagian atas dan bawah
tanah bagi kedua-dua spesies rumput laut tersebut didapati telah meningkat secara
signifikan sebagai tindakbalas terhadap b$ja yang diberikan. Walaubagaimanapun, tisu
bahagian atas tanah daripada C. serrulata tidak memberi tindakbalas signifikan
terhadap muatan b4ja rendah. Parameter lain iaitu penghasilan klorofil, kadar
pertumbuhan pucuk dan biomas tidak memberi hasil signifikan separ; jang tempoh
eksperimen pembajaan Liga bulan tersebut. Oleh itu, kandungan tisu nitrogen
merupakan parameter yang sesuai untuk k$ jian jangka pendek menggunakan b4ja jenis
lambat-lepas dalam menilai status nutrien spesies yang dik4ji. Kepekatan kandungan
ammonium dan fosfat dalam air liang sedimen dan di dalam turus air juga meningkat.
Di Stesen 1 (Pulau Sepanggar), kepekatan ammonium dalam air hang sedimen adalah
di dalam julat 0.006 - 0.008 µM berbanding plot kawalan dalam julat 0.004 - 0.006µM,
sebagai tindakbalas terhadap pembijaan muatan tinggi dan rendah.
Walaubagaimanapun, kepekatan fosfat dalam air hang sedimen dan di dalam turus air
tidak jauh berbeza berbanding antam plot yang dib4jai (0.003 - 0.004 µM) dan plot
kawalan (0.004 µM) dalam pembgjaan muatan tinggi dan rendah. Bagi Stesen 2 (Teluk
Sepanggar Selatan), kepekatan ammonium dan fosfat dalam plot yang diberi b4ja
meningkat berbanding plot kawalan, iaitu masing-masing 0.008 - 0.018 µM bagi
ammonium dan 0.005 - 0.011 µM bagi fosfat berbanding plot kawalan yang
mengandungi ammonium 0.003 - 0.011 µMdan fosfat 0.001- 0.006, uM.
vi
Pusat Khidmat Maklumat Akademik U ti IVE kS I Ti MALAYSIA SA RAw'A K
Table of Contents
Title
Acknowledgements
Abstract
Abstrak
Table of Contents
List of Tables
List of Figures
List of Abbreviations
CHAPTER 1 Introduction
1.1 Objectives
1.2 Scope of Studies
CHAPTER 2 Literature Review
2.1 Seagrass
2.1.1 Introduction
2.1.2 Importance
2.1.3 Threats
2.2 Remote Sensing and Seagrass Mapping
2.2.1 Remote Sensing Processes
Page
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ii
111
V
vii
xi
xv
xx
1
5
6
8
8
8
14
18
21
25
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CHAPTER 3 Materials and Methods 29
3.1 Seagrass Distribution and Habitat Mapping
3.1.1 Study Site
3.2 Mapping of Seagrass Communities
3.2.1 Ground Truthing
3.2.2 Image Processing
3.2.2.1 Supervised Classification
3.3 Ecological Study
29
29
31
32
32
33
34
3.3.1 Seagrass Biomass 34
3.3.1.1 Study Sites 34
3.3.1.2 Sampling Procedures 35
3.3.2 Seagrass Enrichment Experiment 36
3.3.2.1 Study Sites 36
3.3.2.2 Sediment Particle Size 37
3.3.2.3 Experimental Design of Enrichment Experiment 38
3.3.2.4 Fertilization Method 39
3.3.2.5 Pore Water and Water Column Nutrient
Concentrations 40
3.3.3 Plant Responses Monitored 41
3.3.3.1 Growth and Morphological Responses 42
3.3.3.2 Physiological Response 44
3.3.4 Data Analysis 45
vin
CHAPTER 4 Results 46
4.1 Seagrass Distributions in Sepanggar Bay, Sabah
4.2 Habitat Mapping of Seagrass Communities
4.3 Ecological Study
4.3.1 Seagrass Biomass
4.3.2 N- Enrichment Experiment
4.3.2.1 Physico-chemical Parameters
4.3.2.2 Sediment Particle Size
4.3.2.3 Sediment Pore Water and Seawater Column
Nutrient Concentrations
4.3.3 Response to Nutrient Enrichment
4.3.3.1 N- Contents
4.3.3.2 Chlorophyll Production
4.3.3.3 Growth Rates
4.3.3.4 Biomass
46
52
59
59
59
59
60
61 67
67
71
75
77
CHAPTER 5 Discussions 81
5.1 Seagrass Distribution and Habitat Mapping at Sepanggar Bay 81
5.1.1 Mapping Accuracy 82
5.2 The Nutrient Enrichment Study of Seagrass at Sepanggar Bay 85
CHAPTER. 6 Conclusions 90
6.1 Remote Sensing 90
6.2 Ecological Study 93
ix
References 94
Appendices
x
List of Tables
Table 2.1 List of seagrass species and their geographical distribution
(modified from Hemminga & Duarte, 2000 and **Kuo, 2000). 10
Table 2.2 The average seagrass primary production compared to other
ecosystems. 15
Table 3.1 Classification system for land-cover data sets used in Sepanggar
Bay seagrass mapping. 33
Table 3.2 Wentworth grade classifications (Buchanan, 1971). 38
Table 4.1 Distribution of seagrass species in 3 main areas of Sepanggar Bay. 47
Table 4.2 Confusion matrix of test data sets of North Sepanggar area from
supervised classification. 53
Table 4.3 Confusion matrix of test data sets of South Sepanggar area from
supervised classification. 54
Table 4.4 Confusion matrix of test data sets of Sepanggar Island area from
supervised classification. 54
Table 4.5 The physico-chemical parameters measured at Station 1 (Sepanggar
Island) and Station 2 (South Sepanggar Bay) at the end of the
enrichment experiments. 60
Table 4.6 Sediments particle's size at Station 1 (Sepanggar Island), Station 2
(South Sepanggar Bay) and Station 3 (North Sepanggar Bay). 60
I
xi
Table 4.7 Means concentrations of PO43- (pM) and NH4+ (pM) in sediment pore
water and seawater column in the fertilized and control plots of
Station 1 (Sepanggar Island) and Station 2 (South Sepanggar) prior
to three months of fertilization.
Table 4.8 Means concentrations of P043- (pM) and NH4* (pM) in sediment pore
water and seawater column in the fertilized and control plots of
Station 1 (Sepanggar Island) and Station 2 (South Sepanggar) after
three months of fertilization.
Table 4.9 A summary of two-way ANOVA on phosphate and ammonium
concentrations in sediment pore water and seawater column in
response to low and high load fertilization.
Table 4.10 Summary of two-way ANOVA on N-content in aboveground and
belowground tissues of Cymodocea serrulata in enriched and control
plots (low load fertilization) at the end of the experiment at Station
1 (Sepanggar Island).
Table 4.11 Summary of two-way ANOVA on N-content in aboveground and
belowground tissues of Cymodocea serrulata in enriched and control
plots (high load fertilization) at the end of the experiment at Station
1 (Sepanggar Island).
Table 4.12 Summary of two-way ANOVA on N-content in aboveground and
belowground tissues of Enhalus acoroides in enriched and control
61
63
64
67
68
plots (low load fertilization) at the end of the experiment at Station
2 (South Sepanggar). 69
xii
Table 4.13 Summary of two-way ANOVA on N-content in aboveground and
belowground tissues of Enhalus acoroides in enriched and control
plots (high load fertilization) at the end of the experiment at Station
2 (South Sepanggar).
Table 4.14 Results of two-way ANOVA on chlorophyll a and b in the leaf of
Cymodocea serrulata after 3 months under low load fertilization at
Station 1 (Sepanggar Island).
Table 4.15 Results of two-way ANOVA on chlorophyll a and b in the leaf of
Cymodocea serrulata after 3 months under high load fertilization at
Station 1 (Sepanggar Island).
Table 4.16 Results of two-way ANOVA on chlorophyll a and b in the leaf of
Enhalus acoroides after 3 months under low load fertilization at
Station 2 (South Sepanggar).
Table 4.17 Results of two-way ANOVA on chlorophyll a and b in the leaf of
Enhalus acoroides after 3 months under high load fertilization at
Station 2 (South Sepanggar).
Table 4.18 Summary of two-way ANOVA on growth rate of Cymodocea
serrulata in enriched and control plots at the end of the enrichment
experiment at Station 1 (Sepanggar Island).
Table 4.19 Summary of two-way ANOVA on growth rate of Enhalus acoroides
in enriched and control plots at the end of the enrichment
experiment at Station 2 (South Sepanggar).
Table 4.20 Summary of two-way ANOVA on biomass of Cymodocea serrulata in
low load fertilization and control plots at the end of the enrichment
experiment at Station 1 (Sepanggar Island).
70
71
72
73
74
75
76
77
11111
Table 4.21 Summary of two-way ANOVA on the biomass of Cymodocea
serrulata in high load fertilization and control plots at the end of the
enrichment experiment at Station 1 (Sepanggar Island). 78
Table 4.22 Summary of two-way ANOVA on the biomass of Enhalus acoroides
in low load fertilization and control plots at the end of the
enrichment experiment at Station 2 (South Sepanggar). 79
Table 4.23 Summary of two-way ANOVA on the biomass of Enhalus acoroides
in high load fertilization and control plots at the end of the
enrichment experiment at Station 2 (South Sepanggar). 80
xiv
List of Figures
Figure 2.1 Declines in species presence with distance along the main current
system from the Malaysian center of species richness in the Indo-
Pacific region (c. f. Mukai, 1993). 10
Figure 2.2 Remote Sensing Processes. 28
Figure 3.1 Satellite image of the study area in Sepanggar Bay, Kota Kinabalu,
Sabah, Malaysia (Source: ERMBorneo Sdn. Bhd. ). -30
Figure 3.2 Satellite image of the study area (Sepanggar Bay) taken from SPOT 4
satellite in 14 April 2000.31
Figure 3.3 A SPOT-4 image of Sepanggar Island (Station 1) showing location of
transects (Ti, T2 and T3) and enrichment site (E). 36
Figure 3.4 A SPOT-4 image of South Sepanggar Bay (Station 2 and 3) showing
transects (Ti, T2 and T3) and enrichment site (E). 37
Figure 3.5 The experimental plot set-up or randomized complete block used in `in
situ'fertilization exhibited treatment and control plots. 39
Figure 3.6 In situ fertilizer additions during seagrass enrichment experiment. 40
Figure 3.7 Hole punch method employed to measure the growth and production
rates of seagrasses (Enhalus acoroides and Cymodocea serrulata). 43
Figure 4.1 Enhalus acoroides meadows in North Sepanggar near to petroleum
depot (D) and timber factory M. 47
Figure 4.2 Enhalus acoroides 48
Figure 4.3 Halophila ovalis beds in Kuala Menggatal (South Sepanggar). 49
Figure 4.4 Halophila ovalis. 49
xv
Figure 4.5 Halophila ovalis beds covered by silts near Kuala Sungai Menggatal. 50
Figure 4.6 Cymodocea spp. (C) mixed with Enhalus acoroides (E) in Sepanggar
Island. 50
Figure 4.7 Syringodium isoetifolium (S) and Thalassia hemprichii (T) found in
subtidal area of Sepanggar Island. 51
Figure 4.8 Map of seagrass distribution in area of North Sepanggar Bay. The
coordinate system is the Universal Transverse Mercator (UTM) Grid;
each grid represents 1000 m on the ground. 56
Figure 4.9 Map of seagrass distributions in area of South Sepanggar Bay. The
coordinate system is the Universal Transverse Mercator (UTM) Grid;
each grid represents 1000 m on the ground. 57
Figure 4.10 Map of seagrass distribution in area of Sepanggar Island. The
coordinate system is the Universal Transverse Mercator (UTM) Grid;
each grid represents 500 m on the ground. 58
Figure 4.11 The concentration of ammonium (pM) in pore water under low load
fertilization at Station 2 (South Sepanggar Bay) after 3 months of
enrichment. Bars represent means of 4 replicates samples ±1S. E.
Different letters (a, b) indicate significant differences between means
(p<0.05). 65
Figure 4.12 The concentration of phosphate (pM) in water column under low load
fertilization at Station 1 (Sepanggar Island) after 3 months of
enrichment. Bars represent means of 6 replicates samples ±1S. E.
Different letters (a, b) indicate significant differences between means
(p<0.05). 65
xvi
Figure 4.13 The concentration of phosphate (pM) in water column under low load
fertilization at Station 2 (South Sepanggar Bay) after 3 months of
enrichment. Bars represent means of 2 replicates samples ±1S. E.
Different letters (a, b) indicate significant differences between means
p<0.05). 66
Figure 4.14 The concentration of ammonium (pM) in water column under low load
fertilization at Station 2 (South Sepanggar Bay) after 3 months of
enrichment. Bars represent means of 2 replicates samples ±1S. E.
Different letters (a, b) indicate significant differences between means
(p<0.05). 66
Figure 4.15 Nitrogen content as % per g dry weight in a) aboveground parts and b)
belowground parts of Cymodocea serrulata in control and fertilized
plots(low load fertilization) at Station 1 after 3-months of fertilization.
Bars represent means of 4 aboveground; 6 belowground samples ±1
S. E. a, b Denote significant differences between means (p<0.05). 67
Figure 4.16 Nitrogen content as % per g dry weight in a) aboveground parts and b)
belowground parts of Cymodocea serrulata in control and fertilized
plots (high load fertilization) at Station 1 after 3-months of
fertilization. Bars represent means of 2 aboveground; 2 belowground
samples ±1S. E. a. b Denote significant differences between means
(p<0.05). 68
Figure 4.17 Nitrogen content as % per g dry weight in a) aboveground parts and b)
belowground parts of Enhalus acoroides in control and fertilized plots
(low load fertilization) at Station 2 after 3-months of fertilization.
Bars represent means of 2 aboveground; 2 belowground samples ±1
S. E. a, b Denote significant differences between means (p<0.05). 69
Figure 4.18 Nitrogen content as % per g dry weight in a) aboveground parts and b)
belowground parts of Enhalus acoroides in control and fertilized plots
(high load fertilization) at Station 2 after 3-months of fertilization
Bars represent means of 6 aboveground; 6 belowground samples ±1
S. E. a, b Denote significant differences between means (p<0.05). 70
Figure 4.19 Production of chlorophyll a and chlorophyll b (mean t1 SE) in the leaf
of Cymodocea serrulata after 3 months under low load fertilization
compared with untreated controls. 71
Figure 4.20 Production of chlorophyll a and chlorophyll b (mean t1 SE) in the leaf
of Cymodocea serrulata after 3 months under high load fertilization
compared with untreated controls. 72
Figure 4.21 Production of chlorophyll a and chlorophyll b (mean t1 SE) in the leaf
of Enhalus acoroides after 3 months under low load fertilization
compared with untreated controls.
Figure 4.22 Production of chlorophyll a and chlorophyll b (mean t1 SE) in the leaf
of Enhalus acoroides after 3 months under high load fertilization
compared with untreated controls.
Figure 4.23 Growth rates of Cymodocea serrulata at Staion 1 (Sepanggar Island)
after 3 months of low load enrichment (A) and high load enrichment
(B). Bars represent mean ±1 SE.
73
74
75
xviii
Figure 4.24 Growth rates of Enhalus acoroides at Station 2 (South Sepanggar)
after 3 months of low load enrichment (A) and high load enrichment
(B). Bars represent mean ±1 SE.
Figure 4.25 Aboveground (A) and belowground (B) biomass (g DW M-2) of
Cymodocea serrulata (mean ±1 SE) in fertilized and control plots in
response to low load 3 fertilization at the end of the experiment at
Station 1 (Sepanggar Island).
Figure 4.26 Aboveground (A) and belowground (B) biomass (g DW M-2) of
Cymodocea serrulata (mean ±1 SE) in fertilized and control
treatments in response to high load fertilization at the end of the
experiment at Station 1 (Sepanggar Island).
Figure 4.27 Aboveground (A) and belowground (B) biomass (g DW M-2) of Enhalus
acoroides (mean ±1 SE) in fertilized and control treatments in
response to low load fertilization, 3 months after the enrichment at
Station 2 (South Sepanggar).
Figure 4.28 Aboveground (A) and belowground (B) biomass (g DW M-2) of Enhalus
acoroides (mean ±1 SE) in fertilized and control treatments in
response to high load fertilization, 3 months after the enrichment
experiment at Station 2 (South Sepanggar).
76
77
78
79
80
xix
List of Abbreviations
CEES
CSIRO
CZCS
ERS
GIS
ICZM
ILWIS
Landsat MSS
Landsat TM
MACRES
MOSTE
NRSC
ORSER
SPOT-4
SPOT XP
SPOT XS
SRP
UNCED
UNESCO
Center for Energy and Environmental Studies
Commonwealth Scientific and Industrial Research Organization
Coastal Zone Color Scanner
European Remote Sensing Satellite
Geographic Information System
Integrated Coastal Zone Management
Integrated Land and Water Information System
Land Satellite Multispectral Scanner
Land Satellite Thematic Mapper
Malaysian Center for Remote Sensing
Ministry of Science, Technology and Environment
National Remote Sensing Center
Office for Remote Sensing of Earth Resources
Systeme Probatoire de 1' Observation de la terre 4
Systeme Probatoire de 1' Observation de la terre Panchromatic
Systeme Probatoire de 1' Observation de la terre Multispectral
Soluble Reactive Phosphate
United Nations Conference on Environment and Development
United Nations Educational, Scientific and Cultural Organization
CHAPTER 1
Introduction
The importance of seagrasses and their role in many ecosystems has been extensively
documented (Thayer et al. 1975; Phillips, 1982; Zieman et al. 1989). Seagrasses are
known worldwide for its diversity and production (Zieman & Wetzel, 1980). The primary
productivity of seagrass ecosystems and their contribution of organic matter to inshore
food webs are substantial. Its primary productivity is among the highest measured (400
- 500 gC/m2/year; Hemminga & Duarte, 2000) and thus supports diverse flora and fauna,
including coastal fisheries productivity (Fortes, 1990; Coles et al. 1993). Some studies
reported that net primary productivity values of seagrass were in the range of 2- 18 g
cm-2 d-1, with tropical and subtropical lagoons showed the highest values (e. g., Hillman et
al. 1989).
In addition, the presence of seagrass meadows in coastal areas does increase organic
inputs to the sediments, not only through their own detritus but also through the
trapping of suspended particles (Ward et al. 1984; Duarte & Chiscano, 1999; Gacia et al.
1999). Their roots and rhizomes bind millions of acres of shallow water sediment in the
coastal waters and simultaneously baffling waves and currents with their leafy canopy
(Ginsberg & Lowenstam, 1958; Taylor & Lewis, 1970; Den Hartog, 1971; Fonseca et al.
1983; Fonseca et al. 1996). Although recognized for their value and primary production
where they occur, the distribution of seagrasses is not well known, as it should be for
proper management (Wyllie-Echeverria & Olson, 1994).
1
To sustain a high productivity, seagrasses require a substantial amount of nutrients.
Nutrient uptake by seagrass blades and their associated epiphytes and macroalgae as
well as roots could improve water quality (Harlin & Throne-Miller, 1981). The death of
leaves and other plant parts, however, leads to constant drain of nutrients, as nutrients
are a component of these lost plant parts (Stapel, 1997). Thus, nutrients loss must be
replenished to allow the continued growth and persistence of the seagrasses (Hemmings
et al. 1991).
Although tropical seagrass meadows are self-sustaining systems in which most nutrients
are captured in the large seagrass biomass and are efficiently recycled within the system
(Nienhuis et al. 1989), this is only true for coral island seagrass. Study by Worm et al.
(2000) reported that nutrient concentrations varied through time and among sites, with
sediment depth, distance from the source and fertilizer load. However, the negative
effects of excessive inputs of organic matter or nutrient on seagrass growth have led to
the notion that highly productive seagrass meadows may `poison' themselves by driving
the sediments conditions to stressful level (Hemminga & Duarte, 2000).
Seagrasses are also often impacted by human activities due to their location in the
coastal zone (Fonseca & Mark, 1998). However, currently there is limited number of
available information on seagrass study in Sepanggar Bay that necessitates a scientific
effort to increase our knowledge on this coastal ecosystem where the environmental
pressures due to human activities are increasing rapidly. Because of their relatively
high (compared to phytoplankton) light requirements (Kenworthy & Haunert, 1991)
seagrasses occur in shallow, near shore waters, a situation that makes them extremely
susceptible to damage by human activity such as nutrient loading (Short & Burdick,
2
1996), light reduction (Dennison et al. 1993; Kenworthy & Haunert, 1991), and propeller
scarring (Sargent et al. 1995). Marine fauna such as dugongs (Dugong dugon) and green
turtles (Chelonia mydas) have been threatened as their most dependant habitat, the
seagrass beds, being in danger of extinction.
The Regional Environment Impact Assessment and Shoreline Management Plan West
Coast of Sabah prepared by the Danish Hydraulic Institute (DHI, 1999) for the Ministry
of Culture, Environment and Tourism, Sabah recommended that Sepanggar Island
should be protected due to its ecological importance. Therefore, seagrass meadows found
along the coastlines of Sepanggar Bay are appropriate for resource study as the plants
are threatened by various developmental activities including coastal structures or
reclamation works especially in the west, east and south of Sepanggar Bay.
It is important to document seagrass species, the taxonomic diversity and distribution of
seagrass and to identify areas requiring conservation measures to prevent significant
lost of areas and species. This is in line with Agenda 21, the comprehensive action plan
adopted by the United Nations Conference on Environment and Development (UNCED)
in 1992, which encourage the identification and conservation of marine ecosystems
exhibiting high levels of biodiversity and productivity. Unfortunately, there have been
very few studies on the distribution and ecology of seagrasses in Malaysia (Norhadi,
1993; Japar Sidik et al. 1996; Ethirmannasingam et al. 1996). A better coastal zone
management plan is also needed so that techniques to restore seagrass meadows in this
country can be developed in the near future especially, where there is potentially loss or
degradation of existed seagrass meadows. And hopefully, with the help of data from this
study, other marine resources associated with seagrass meadows can also be assessed.
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