scholarly journals Estimation of aboveground biomass using allometric relationship between DBH and height for mixed mangrove forest in Setiu Wetland, Terengganu, Malaysia

2021 ◽  
Vol 842 (1) ◽  
pp. 012042
Author(s):  
I Kasawani ◽  
A Mohd-Zaki ◽  
Onrizal ◽  
H Zulhazman
2020 ◽  
Vol 12 (10) ◽  
pp. 1690 ◽  
Author(s):  
Tianyu Hu ◽  
YingYing Zhang ◽  
Yanjun Su ◽  
Yi Zheng ◽  
Guanghui Lin ◽  
...  

Mangrove forest ecosystems are distributed at the land–sea interface in tropical and subtropical regions and play an important role in carbon cycles and biodiversity. Accurately mapping global mangrove aboveground biomass (AGB) will help us understand how mangrove ecosystems are affected by the impacts of climatic change and human activities. Light detection and ranging (LiDAR) techniques have been proven to accurately capture the three-dimensional structure of mangroves and LiDAR can estimate forest AGB with high accuracy. In this study, we produced a global mangrove forest AGB map for 2004 at a 250-m resolution by combining ground inventory data, spaceborne LiDAR, optical imagery, climate surfaces, and topographic data with random forest, a machine learning method. From the published literature and free-access datasets of mangrove biomass, we selected 342 surface observations to train and validate the mangrove AGB estimation model. Our global mangrove AGB map showed that average global mangrove AGB density was 115.23 Mg/ha, with a standard deviation of 48.89 Mg/ha. Total global AGB storage within mangrove forests was 1.52 Pg. Cross-validation with observed data demonstrated that our mangrove AGB estimates were reliable. The adjusted coefficient of determination (R2) and root-mean-square error (RMSE) were 0.48 and 75.85 Mg/ha, respectively. Our estimated global mangrove AGB storage was similar to that predicted by previous remote sensing methods, and remote sensing approaches can overcome overestimates from climate-based models. This new biomass map provides information that can help us understand the global mangrove distribution, while also serving as a baseline to monitor trends in global mangrove biomass.


2020 ◽  
Vol 21 (4) ◽  
Author(s):  
Kangkuso Analuddin ◽  
Kadidae La Ode ◽  
Muhammad Yasir Haya La Ode ◽  
Septiana Andi ◽  
Sahidin Idin ◽  
...  

Abstract. Analuddin K, Kadidae LO, Haya LOMY, Septiana A, Sahidin I, Syahrir L, Rahim S, Fajar LOA, Nadaoka K. 2020. Aboveground biomass, productivity and carbon sequestration in Rhizophora stylosa mangrove forest of Southeast Sulawesi, Indonesia. Biodiversitas 21: 1316-1325. This study was aimed at analyzing the trends of aboveground biomass (AGB), productivity and carbon sequestration of Rhizophora stylosa Griff. forest in Rawa Aopa Watumohai National Park (RAWNP), Southeast Sulawesi, Indonesia. The DBH was the best predictor for partial and whole AGB of R. stylosa trees. The mean AGB was 562.76 ton ha-1. The yearly biomass increment of living trees, biomass increment of whole stands, standing dead biomass, and litterfall in R. stylosa forest were estimated as 52.87, 50.09, 2.78 and 12.00 ton ha-1, respectively, while its net primary production was about 64.88 ton ha-1 yr-1 indicating higher mangrove productivity. The total carbon stock in R. stylosa forest was 264.50 ton ha-1, while the annual net carbon budget, carbon gain and carbon input in R. stylosa forest was 23.54, 24.85 and 5.64 ton ha-1. However, the total CO2 stored in R. stylosa forest was 969.83 ton ha-1, while the annual of net CO2 uptake, CO2 gained and CO2 input was 86.33, 91.12 and 20.86 ton ha-1. The higher carbon sequestration and CO2 uptake in R. stylosa forest indicate its significant role in the global carbon accumulation and reducing atmospheric CO2.


2019 ◽  
Vol 20 (10) ◽  
Author(s):  
ROCHADI KRISTININGRUM ◽  
ABUBAKAR M. LAHJIE ◽  
MASJAYA ◽  
SYAHRIR YUSUF ◽  
YOSEP RUSLIM

Abstract. Kristiningrum R, Lahjie AM, Masjaya, Yusuf S, Ruslim Y. 2019. Species diversity, stand productivity, aboveground biomass, and economic value of mangrove ecosystem in Mentawir Village, East Kalimantan, Indonesia. Biodiversitas 20: 2848-2857. Mangrove forest is one of the important ecosystems. It provides a variety of benefits both ecologically and economically. There are many biodiversity values of mangrove ecosystems that it can be evaluated economically. This study aims to: (i) identify the species diversity of mangrove forest; (ii) analyze the mangrove productivity and aboveground biomass; (iii) analyze the ecosystem value of mangrove forest in Mentawir Village, Penajam Paser District, East Kalimantan Province. The research used systematic random sampling method by establishing two plots with extent of one hectare for each plot in which each plot was divided into 20m x 20m subplots. The volume and mean annual increment (MAI), as well as current annual increment (CAI), were calculated. Economic value of mangrove ecosystem was calculated using Contingent Valuation Method (CVM) to reveal the total margin between Willingness to Pay (WTP) of wood produced by mangrove forest and Willingness to Accept (WTA) of fisheries catches. The results showed that there were 12 species of mangroves in the studied areas in which Rhizophora apiculata was the dominant species. Total aboveground biomass in Plot I and Plot II were respectively 127.46 tons ha-1 (62.61 tons C ha-1) and 79.26 (38.85 tons C ha-1) and dominated by Rhizophoraceace family with 76.80%, while 23.22% of the biomass was contributed by other mangrove families. The mangrove forest had a maximum average volume increment at 48 years and 42 years with MAI of 2.97 ha-1yr-1and 2.12 m3 ha-1yr-1 at Plot I and Plot II, respectively, with the total volume reached 127.5 m3 ha-1 and 79.60 m3 ha-1. The calculation of total margin between WTP and WTA indicated that in economic value of mangrove ecosystem in Mentawir Village with an extent of 2,300 ha was between IDR 207,000,000 yr-1 and IDR 345,000,000 yr-1. Our findings suggest that a good mangrove ecosystem will result in high economic value and biodiversity values cannot be separated from economic benefits in order to protect its sustainability.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eko Subrata ◽  
Gusti Hardiansyah ◽  
Rafdinal Rafdinal

Mangrove ecosystem is one of the largest carbon storage sheds on earth, has enormous environmental benefits in disaster mitigation, as well as a source of livelihood for coastal communities. The purpose of this research is to know the aboveground biomass distribution of mangrove forest stand and to know the potency of carbon reserve of mangrove forest area of Mempawah Regency. The research was conducted from September to October 2017 in mangrove forest of Sungai Pinyuh district of Mempawah Regency. Aboveground biomass measurements are performed in a 50 x 50 m measuring plot, data collection is performed by listing each stand with dbh ? 5 cm and grouping it in diameter classes. Aboveground tree biomass estimation was performed using allometric equations and organic carbon stocks calculated by converting biomass by conversion factor of 0.5. The results showed the biomass value ranged from 32.37 to 55.84 tons / ha with an average value of 40.28 tons / ha. The highest biomass is distributed in diameter class 15-25 cm with the percentage 23.10% and lowest in class diameter> 55 cm with contribution equal to 13.39%. Carbon stock in mangrove stand biomass ranged from 16.18-27.91ton C / ha with average value 20.14 ton C / ha. Avicennia officinalis is an important type with the contribution of carbon reserves of 98.99%.Keywords: aboveground biomass, Carbon stock, mangrove forest, Mempawah Regency.AbstrakEkosistem mangrove merupakan salah satu gudang penyimpanan karbon terbesar di bumi, memiliki manfaat lingkungan yang besar dalam mitigasi bencana, serta sebagai sumber mata pencaharian masyarakat pesisir. Tujuan penelitian ini adalah untuk mengetahui distribusi aboveground biomass tegakan hutan mangrove dan mengetahui besarnya potensi cadangan karbon kawasan hutan mangrove Kabupaten Mempawah. Penelitian dilaksanakan dari bulan September hingga Oktober 2017 di hutan mangrove kecamatan Sungai Pinyuh Kabupaten Mempawah. Pengukuran biomassa atas permukaan (aboveground biomass) tegakan dilakukan di dalam petak ukur ukuran 50 x 50 m, pengumpulan data dilakukan dengan mendata tiap tegakan dengan dbh ? 5 cm dan mengelompokkannya dalam kelas-kelas diameter. Pendugaan biomassa aboveground pohon (aboveground tree biomass) dilakukan dengan menggunakan persamaan allometrik (Komiyama et al., 2008) dan stoks karbon organik dihitung dengan mengkonversikan biomassa dengan faktor konversi sebesar 0,5. Hasil menunjukkan nilai biomasa berkisar antara 32,37-55,84 ton/ha dengan nilai rata-rata 40,28 ton/ha. Biomasa tertinggi terdistribusi pada kelas diameter 15-25 cm dengan persentase 23,10% dan terendah pada kelas diameter >55 cm dengan kontribusi sebesar 13,39%. Stoks karbon pada biomasa tegakan mangrove berkisar antara 16,18-27,91 ton C/ha dengan nilai rata-rata 20,14 ton C/ha. Avicennia officinalis merupakan jenis penting dengan kontribusi stoks karbon sebesar 98,99%.Kata kunci: Aboveground biomass, hutan mangrove, Kabupaten Mempawah, Stok karbon.


2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
S. Darmawan ◽  
W. Takeuchi ◽  
Y. Vetrita ◽  
K. Wikantika ◽  
D. K. Sari

This study is focused on investigating the impact of topography and tidal height on ALOS PALSAR polarimetric measurements on HH and HV for estimating aboveground biomass (AGB) of mangrove forest in Indonesia. We used multitemporal ALOS PALSAR polarimetric measurement that covered mangrove zone in Banyuasin, Cilacap, and Teluk Bintuni and also collected tidal height data within the same acquisition date with multitemporal ALOS PALSAR polarimetric measurement. We analyzed the distribution of flooding and nonflooding areas based on tidal height and SRTM topography data, created three profiles as region of interest (ROI), and got characteristics of backscatter value on HH and HV with different tidal height. The result of this study showed backscatter of the open mangrove zones during high tide with HH value less than −20 dB and HV value less than −25 dB whereas during low tide it showed an HH value around −20 to −10 dB and HV value around −25 to −10 dB. Backscatter of the middle mangrove zones at Cilacap, with low and flat topography, showed a deviation of backscatter on HV value of 1.6 dB. Finally, the average AGB of mangrove forest in Indonesia was estimated based on ALOS PALSAR polarimetric measurements.


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