scholarly journals POLA DISTRIBUSI ABOVEGROUND BIOMASSA TEGAKAN MANGROVE DALAM KAITANYA DENGAN STOKS KARBON DI KAWASAN PESISIR SUNGAI PINYUH KABUPATEN MEMPAWAH KALIMANTAN BARAT

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eko Subrata ◽  
Gusti Hardiansyah ◽  
Rafdinal Rafdinal
Keyword(s):  
Aboveground Biomass ◽  
Mangrove Forest ◽  
Carbon Stock ◽  
Environmental Benefits ◽  
Disaster Mitigation ◽  
Biomass Estimation ◽  
Tree Biomass ◽  
Average Value ◽  
Avicennia Officinalis ◽  
Aboveground Tree Biomass

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.

Tree biomass quantity, carbon stock and canopy correlates in mangrove forest and land uses that replaced mangroves in Honda Bay, Philippines

2018 ◽  
Vol 24 ◽  
pp. 174-183 ◽  
Author(s):  
Jose Alan A. Castillo ◽  
Armando A. Apan ◽  
Tek Narayan Maraseni ◽  
Severino G. Salmo
Keyword(s):  
Mangrove Forest ◽  
Carbon Stock ◽  
Land Uses ◽  
Tree Biomass

scholarly journals Short-Term Dynamics of Vegetation Diversity and Aboveground Biomass of Picea abies (L.) H. Karst. Forests after Heavy Windstorm Disturbance

Forests ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 97
Author(s):  
František Máliš ◽  
Bohdan Konôpka ◽  
Vladimír Šebeň ◽  
Jozef Pajtík ◽  
Katarína Merganičová
Keyword(s):  
Picea Abies ◽  
Species Composition ◽  
Aboveground Biomass ◽  
Herb Layer ◽  
Tree Biomass ◽  
Short Term ◽  
Vegetation Diversity ◽  
Vegetation Heterogeneity ◽  
Annual Herb ◽  
Aboveground Tree Biomass

Although forest disturbances have become more frequent and severe due to ongoing climate change, our understanding of post-disturbance development of vegetation and tree–herb layer interactions remains limited. An extreme windstorm, which occurred on 19 November 2004, destroyed Picea abies (L.) H. Karst dominated forests in the High Tatra Mts. Here, we studied short-term changes in diversity, species composition, and aboveground biomass of trees and herb layer vegetation, including mutual relationships that elucidate tree–herb interactions during post-disturbance succession. Assessment of species composition and tree biomass measurements were performed at 50 sample plots (4 × 4 m) along two transects 12, 14, and 16 years after the forest destruction. Heights and stem base diameters of about 730 trees were measured and subsequently used for the calculation of aboveground tree biomass using species-specific allometric relationships. Aboveground biomass of herb layer was quantified at 300 subplots (20 × 20 cm) by destructive sampling. Species richness and spatial vegetation heterogeneity did not significantly change, and species composition exhibited small changes in accordance with expected successional trajectories. While aboveground tree biomass increased by about 190%, biomass of annual herb shoots decreased by about 68% and biomass of perennial herb shoots was stable during the studied period. The contribution of trees to total aboveground biomass increased from 83% to 97%. After 16 years of forest stands recovery, tree biomass represented approximately 13% of forest biomass before the disturbance. Herb layer biomass, particularly the biomass of annual herb shoots, was more closely related to tree cover than to tree biomass and its decline could be assigned to gradual tree growth. Our study provides clear evidence that short-term successional processes in post-disturbance vegetation are much better detectable by biomass than by diversity or compositional measures and emphasized the importance of light conditions in tree–herb competitive interactions.

scholarly journals Tree biomass and carbon stock of a community‐managed mangrove forest in Bohol, Philippines

2011 ◽  
Vol 7 (4) ◽  
pp. 161-167 ◽  
Author(s):  
Leni D. Camacho ◽  
Dixon T. Gevaña ◽  
Antonio P. Carandang ◽  
Sofronio C. Camacho ◽  
Edwin A. Combalicer ◽  
...  
Keyword(s):  
Mangrove Forest ◽  
Carbon Stock ◽  
Tree Biomass

scholarly journals KARAKTERISTIK SPASIAL DAN POTENSI CADANGAN KARBON DI BENTANG ALAM MBELILING NUSA TENGGARA TIMUR

2021 ◽  
Vol 21 (2) ◽  
pp. 65
Author(s):  
Serlina H. Oktian ◽  
Luluk Setyaningsih ◽  
Nengsih Anen ◽  
Wahyu C. Adinugroho
Keyword(s):  
Aboveground Biomass ◽  
Carbon Stock ◽  
Vegetation Index ◽  
Model Development ◽  
Belowground Biomass ◽  
Carbon Stocks ◽  
Carbon Pools ◽  
Average Value ◽  
Comprehensive Information ◽  
Index Value

Providing comprehensive information on carbon stock data on all carbon pools needs to be done to plan and measure climate change mitigation efforts that are carried out. This research was conducted by analyzing spatial characteristics and estimating carbon stocks with model development. Spatial analysis is carried out to provide an overview of the distribution of spatial values that can use the built model. Estimation of carbon stock is carried out by building a carbon stock estimator model that correlates the value of remote sensing parameters with the value of carbon stocks in all carbon storage sources. The characteristics of the vegetation index value in the forest category are greater than in the non-forest category and vice versa for the distribution of the digital number average value. The model development is only carried out on aboveground biomass and belowground biomass carbon pools. The results of the analysis of the estimation of carbon stocks based on the selected model showed the potential for aboveground biomass was 5,200,841.45 tC and the potential for belowground biomass was 1,317,948.10 tC.

scholarly journals Carbon stock in aboveground biomass of vegetation at the High Tatra Mts. twelve years after disturbance

2017 ◽  
Vol 63 (2-3) ◽  
pp. 142-151 ◽  
Author(s):  
Bohdan Konôpka ◽  
Jozef Pajtík ◽  
František Máliš ◽  
Vladimír Šebeň ◽  
Miriam Maľová
Keyword(s):  
Aboveground Biomass ◽  
Carbon Flux ◽  
Carbon Stock ◽  
Large Scale ◽  
Ground Vegetation ◽  
Biomass Estimation ◽  
Wind Disturbance ◽  
Plant Groups ◽  
Tatra Mts ◽  
Dynamic Growth

AbstractThe paper focused on the estimation of aboveground biomass and its carbon stock in the vegetation cover on the territory of the High Tatras twelve years after a large-scale wind disturbance. Besides biomass quantification of main plant groups (i.e. trees and ground vegetation) we considered plant components with special regard to carbon rotation rate. The measurements were performed on two transects each containing 25 plots sized 4 × 4 m. Height and stem diameter of all trees on the plots were measured and used for biomass estimation. To quantify the biomass of ground vegetation, six subplots sized 20 × 20 cm were systematically placed on each plot and the aboveground biomass was harvested. The plant material was subjected to chemical analyses to quantify its carbon concentration. The study showed that while the wind disturbance caused dramatic decrease of carbon stock, young post-disturbance stands with abundant ground vegetation, represented large carbon flux via litter fall. Twelve years after the wind disturbance, the trees contributed to carbon stock more than the ground vegetation. However, the opposite situation was recorded for the carbon flux to litter that was related to the dominance of annual plants in the above-ground biomass of ground vegetation. The carbon stock in the biomass of young trees and ground vegetation represented about 8,000 kg per ha. The young stands manifested a dynamic growth, specifically the aboveground biomass increased annually by one third. The results confirmed different carbon regimes in the former old (pre-disturbance) and sparse young (post-disturbance) stands.

scholarly journals Species composition, stand characteristics, aboveground biomass, and carbon stock of mangroves in Panabo Mangrove Park, Philippines

2021 ◽  
Vol 22 (6) ◽  
Author(s):  
JEMER A. ALIMBON ◽  
MARK RONALD S. MANSEGUIAO
Keyword(s):  
Species Composition ◽  
Aboveground Biomass ◽  
Carbon Stock ◽  
Stand Structure ◽  
Allometric Equation ◽  
Biomass Estimation ◽  
Importance Value ◽  
Important Species ◽  
Sequestration Potential ◽  
Stand Characteristics

Abstract. Alimbon JA, Manseguiao MRS. 2021. Species composition, stand characteristics, aboveground biomass, and carbon stock of mangroves in Panabo Mangrove Park, Philippines. Biodiversitas 22: 3130-3137. Mangrove ecosystems have been recognized for their roles in climate change mitigation through their carbon sequestration capacity. However, information on the ecology and carbon stock of mangroves is limited. Thus, this study assessed the species composition, stand characteristics, aboveground biomass, and carbon stock of mangroves in Panabo Mangrove Park, Panabo City, Davao del Norte, Philippines. Data for vegetation analysis and biodiversity assessment were collected using transect line plots method. Meanwhile, aboveground biomass estimation was conducted using nondestructive method. Twenty plots with size of 10 m x 10 m each were established to account for the stand characteristics and aboveground biomass of mangroves. Species composition data identified five species from four families. Avicennia marina was the most important species with an importance value of 153.33%. Stand structure analysis revealed a basal area of 14.65 m² ha?¹ and a mean density of 11835 stems ha?¹. Biodiversity indices indicated very low species diversity (H’ = 1.027), low species richness (R = 0.5148) and less even distribution of species (J = 0.6383). Using allometric equation, the aboveground biomass was 77.45 Mg ha?¹ with an estimated stored carbon of 37.18 Mg ha?¹ and sequestration potential of 136.44 Mg CO?ha?¹. These baseline data demonstrate that the area can store and sequester potential amounts of carbon and carbon dioxide, respectively, despite the low diversity.

Biomass of understory species of Pinus halepensis Mill. forests in the Kassandra Peninsula - Chalkidiki

1998 ◽  
Vol 63 ◽  
Author(s):  
P. Smiris ◽  
F. Maris ◽  
K. Vitoris ◽  
N. Stamou ◽  
P. Ganatsas
Keyword(s):  
Moisture Content ◽  
Aboveground Biomass ◽  
Quercus Ilex ◽  
Pinus Halepensis ◽  
Biomass Estimation ◽  
Regression Equations ◽  
Pistacia Lentiscus ◽  
Quercus Coccifera ◽  
Understory Species ◽  
Cistus Incanus

This  study deals with the biomass estimation of the understory species of Pinus halepensis    forests in the Kassandra peninsula, Chalkidiki (North Greece). These  species are: Quercus    coccifera, Quercus ilex, Phillyrea media, Pistacia lentiscus, Arbutus  unedo, Erica arborea, Erica    manipuliflora, Smilax aspera, Cistus incanus, Cistus monspeliensis,  Fraxinus ornus. A sample of    30 shrubs per species was taken and the dry and fresh weights and the  moisture content of    every component of each species were measured, all of which were processed  for aboveground    biomass data. Then several regression equations were examined to determine  the key words.

scholarly journals Estimating Aboveground Biomass Using Sentinel-2 MSI Data and Ensemble Algorithms for Grassland in the Shengjin Lake Wetland, China

2021 ◽  
Vol 13 (8) ◽  
pp. 1595
Author(s):  
Chunhua Li ◽  
Lizhi Zhou ◽  
Wenbin Xu
Keyword(s):  
Aboveground Biomass ◽  
Carbon Accounting ◽  
Dynamic Monitoring ◽  
Gradient Boosting ◽  
Biomass Estimation ◽  
Floodplain Wetlands ◽  
Red Edge ◽  
Extreme Gradient Boosting ◽  
Ensemble Algorithms ◽  
Sentinel 2

Wetland vegetation aboveground biomass (AGB) directly indicates wetland ecosystem health and is critical for water purification, carbon cycle, and biodiversity conservation. Accurate AGB estimation is essential for the monitoring and supervision of ecosystems, especially in seasonal floodplain wetlands. This paper explored the capability of spectral and texture features from the Sentinel-2 Multispectral Instrument (MSI) for modeling grassland AGB using random forest (RF) and extreme gradient boosting (XGBoost) algorithms in Shengjin Lake wetland (a Ramsar site). We use five-fold cross-validation to verify the model effectiveness. The results indicated that the RF and XGBoost models had a robust and efficient performance (with root mean square error (RMSE) of 126.571 g·m−2 and R2 of 0.844 for RF, RMSE of 112.425 g·m−2 and R2 of 0.869 for XGBoost), and the XGBoost models, by contrast, performed better. Both traditional and red-edge vegetation indices (VIs) obtained satisfactory results of AGB estimation (RMSE = 127.936 g·m−2, RMSE = 125.879 g·m−2 in XGBoost models, respectively), with the red-edge VIs contributed more to the AGB models. Moreover, we selected eight gray-level co-occurrence matrix (GLCM) textures calculated by four processing window sizes using the mean value of four offsets, and further analyzed the results of three analysis sets. Textures derived from traditional and red-edge bands using a 7 × 7 window size performed better in biomass estimation. This finding suggested that textures derived from the traditional bands were as important as the red-edge bands. The introduction of textures moderately improved the accuracy of modeling AGB, whereas the use of textures alo ne was not satisfactory. This research demonstrated that using the Sentinel-2 MSI and the two ensemble algorithms is an effective method for long-term dynamic monitoring and assessment of grass AGB in seasonal floodplain wetlands, which can support sustainable management and carbon accounting of wetland ecosystems.

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