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http://dx.doi.org/10.17576/jsm-2019-4811-11
Sumber Penyumbang Karbon
ke dalam Sedimen Dataran Rumput Laut di Muara Sungai Pulai, Johor,
Malaysia (Source
Contributors of Carbon to Sediments in the Seagrass Meadows of Sungai Pulai
Estuary, Johor, Malaysia)
NUR HIDAYAH1, MOHAMMAD ROZAIMI1*
& MOHD SHAHRUL MOHD NADZIR1,2
1Center for Earth
Sciences and Environment, Faculty of Science and Technology, Universiti
Kebangsaan Malaysia, 43600 UKM Bangi, Selangor Darul Ehsan, Malaysia
2Centre
for Tropical Climate Change System, Institute of Climate Change, Universiti
Kebangsaan Malaysia, 43600 UKM Bangi, Selangor Darul Ehsan, Malaysia
Diserahkan: 25 Mac
2019/Diterima: 15 Ogos 2019
ABSTRAK
Terdapat banyak kajian
karbon biru yang menggunakan kaedah penjejak isotop untuk mendapatkan
maklumat mengenai sumbangan sumber bahan organik (OM) di dalam sedimen. Objektif
kajian ini terbahagi kepada dua iaitu untuk mengetahui sumbangan
sumber kepada takungan OM dan untuk membandingkan keberkesanan penggunaan dua jenis
isotop stabil (δ13C dan δ15N)
atau satu jenis isotop stabil (δ13C) dalam menentukan sumbangan
OM
di kawasan persampelan. Sampel rumput laut, makroalga,
seston dan epifit di kawasan muara Sungai Pulai dianalisis dan diukur
menggunakan jisim aliran nisbah isotop (IRMS). Analisis isotop stabil melalui
R (SIAR) pula digunakan untuk menganggarkan sumbangan relatif
keempat-empat sumber tersebut kepada takungan OM sedimen.
Sampel seston mencatatkan nilai tertinggi (53 - 98%) dan rumput
laut mencatatkan nilai terendah (7%) dalam sumbangan OM di
dalam sedimen dataran rumput laut. Ini menunjukkan sumber luar (aloktonus)
memainkan peranan yang penting kepada penambahan zarah terampai.
Menggunakan dua penjejak isotop stabil, plot kepadatan menunjukkan
sumbangan yang lebih kecil oleh seston (96.18 - 99.82%) berbanding
menggunakan satu penjejak isotop stabil (89.15 - 99.75%). Terdapat
perbezaan bererti (p<0.05) antara nilai julat peratus kebolehpercayaan
(CI95%) penggunaan dua penjejak isotop stabil (δ13C dan δ15N) dan nilai julat peratus kebolehpercayaan
(CI95%) penggunaan satu penjejak isotop
stabil (δ13C). Hal ini menunjukkan nilai julat peratus kebolehpercayaan
(CI95%) penggunaan dua penjejak isotop stabil lebih kecil iaitu
bermaksud kebolehpercayaan adalah lebih tinggi melalui kaedah ini
dalam pemodelan sumbangan sumber OM di kawasan kajian.
Kata kunci: Bahan
organik; isotop stabil; model pencampuran Bayesian; SIAR
ABSTRACT
There are many blue
carbon studies using isotopic tracer methods to obtain information on the
source contribution of organic materials (OM)
in the sediment. The objectives of this research were to identify the sources
contributing to the sediment OM pool, and to compare the
reliability of using dual stable isotopes (δ13C
and δ15N) or single stable isotope (δ13C)
in determining the source contributions of OM in
the sampling area. Seagrass, macroalgae, seston and epiphyte samples in Sungai
Pulai estuary were analyzed and measured using isotopic ratio mass spectrometry
(IRMS).
The relative contribution of the four sources to the OM pool
sediment was estimated by using Stable Isotope Analysis in R (SIAR).
Seston recorded the highest value (53 - 98%) and seagrass recorded the lowest
value (7%) in OM contribution in the sediments of the seagrass meadow.
This shows that external input (allochthonous) plays an important role in the
addition of suspended particles. By using dual stable isotope tracer, density
plots showed a smaller range of contribution by seston (96.18 - 99.82%) than
using a single tracer (89.15 - 99.75%). There is a significant difference
(p<0.05) between the value of the reliability percentage range (CI95%) using
dual stable isotope tracer (δ13C and δ15N)
than using a single tracer (δ13C). This showed that the
value of the reliability range (CI95%) using dual stable isotope tracer is
smaller and therefore the realibility is higher in the modelling of source
contributions of OM in the study area.
Keywords: Bayesian
mixing model; organic matter; SIAR; stable
isotope
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*Pengarang untuk surat-menyurat;
email: mdrozaimi@ukm.edu.my
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