Assessment of stable isotopes and elemental composition at three different ages of Mangrove Forest in Matang, Malaysia
Matang Mangrove Forest Reserve (MMFR) is considered as one of the most productive and best-managed mangrove forest in the world. However, in the last few decades, there have been concern on the issues of productivity in MMFR and few field-based studies based on timber volume, density and biomass...
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Format: | Thesis |
Language: | English |
Published: |
2019
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Online Access: | http://psasir.upm.edu.my/id/eprint/89977/1/FPAS%202020%208%20ir.pdf http://psasir.upm.edu.my/id/eprint/89977/ |
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Institution: | Universiti Putra Malaysia |
Language: | English |
Summary: | Matang Mangrove Forest Reserve (MMFR) is considered as one of the most
productive and best-managed mangrove forest in the world. However, in the last few
decades, there have been concern on the issues of productivity in MMFR and few
field-based studies based on timber volume, density and biomass have been performed
to assess its productivity. This study also attempts to assess the productivity using
stable isotopes (δ15N and δ13C) and selected elemental composition. This study was
the first to use stable isotopes and elemental composition to determine the productivity
in mangrove forest of Malaysia and the factors which effect on productivity. In order
to do that, four main objectives were outlined, namely; (1) to investigate the
productivity of different aged-stands (compartment) with nutrients productivity model
using stable isotopes with salt stress and nutrient abundancy, (2) to identify elemental
concentrations and stable isotope ratios in inter- and intra-mangrove species stands
along the inundation gradient of the mangrove forest, (3) to compare elemental
concentration between similar and different aged stands, (4) to study the heavy metal
concentration in the sediment using contamination indices (pollution load index, geoaccumulation
index and contamination element or part and hazard assessment code)
For objective 1: 90 samples of leaves from R. apiculata trees collected from six
compartments (Compt. 18, 31, 71, 74, 42 and 55) and run for analysis. The selection
of these compartments was based on age and management as discussed earlier. Sixteen
variables; stable isotopes (δ13C, δ15N), macronutrients (C, N, P), cations (Ca, Mg,
Na, K) and trace elements (Cd, Cu, Fe, Mn, Pb, Zn) were analyzed and fitted into
established productivity equation. To validate the model, productivity using biomass
estimation also were performed in study plot of 10m x 10m within five managed sites
namely, Compt. 18, 31, 71, 74 and 67. Results show that in the 15 year-aged stands,
Compt. 18 showed higher productivity than in Compt. 31; for the 25 year-aged stands, Compt. 74 has higher productivity than Compt. 71; but mean biomass of two 25-year
compartments was higher than the mean biomass of the two 15-year compartments. It
can be concluded from the models that even with similar aged-stand, there is a
variation in terms of productivity. Interestingly, the trend for biomass estimation
produced similar results that can be validated by productivity models in which similar
aged stand showed different value of productivity. To investigate variation in
productivity between same age and different age compartments following studies were
conducted.
Different species of mangroves i.e., Avicennia alba, Rhizophora. apiculata, Bruguiera
parviflora and Sonneratia ovata in different compartments (Compt. 39, 40, 30 and 18)
were analysed to achieve objective (2): trace elements (Mn, Fe, Cu, Zn), cations (Na,
K, Ca, Mg) and stable isotope (δ13C and δ15N) ratios were found to follow different
patterns along the inundation gradient in the leaves of the sampled plant species.
Elemental concentrations of Na, K, Fe, Cu, Zn and Mn along with stable isotopic ratio
were found differed significantly within similar and different mangrove species. For
achieve objective (3): nutrients concentrations were examined in leaves, root and
sediment of Rhizophora apiculata stand in six compartments with different aged
(Compt. 18 and 31=15-year-old stand; Compt. 71 and 74 = 25-year-old stand; Compt.
42 and 55= virgin jungle reserve) were collected and analysed. Results show that
nutrient concentrations between all stands on average were similar and can be arranged
collectively as Ca>Na>Fe>K>Mn>Mg>Zn>Cu>Pb>Cd and C%>N%>S%>P%.
Concentrations of Cu, Cd, Pb, Mn and Zn were found at high range that indicating
heavy metal pollution most probably due to human activities. The ratio of δ15N
showed positive values and could be translated as there was no deficiency of N
element. Ratio of δ13C on the other hand, showed more negative values indicating
that there is less salinity stress in all studied areas, the fourth (4) objective: sediment
samples were collected at the depth of 7cm and analyzed for assessing heavy metal
contamination in six compartments (Compt. 18, 31, 42, 71, 74 and 55). High
concentrations for Cu, Ni and Cd were observed in Compt. 42 while Compt. 18 and
74 had higher Zn and Pb concentrations, respectively. Assessment shows that all six
compartments are categorized from low to moderate polluted areas. Geo-accumulation
index (I-geo), pollution load index (PLI) and contamination factor (CF) classified the
compartments in low contaminated area. Our findings also suggested R. apiculata as
a suitable candidate for bioremediation of heavy metal-contaminated sediments and
for restoration of degraded ecosystem with high levels of heavy metal contamination.
In conclusion there is no prominent increase in biomass with age. This suggests that
Rhizophora apiculata is not showing high productivity. |
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