Estimation Of Carbon Storage Research Articles

Accounting for aboveground carbon storage in shrubland and woodland ecosystems in the Great Basin

AbstractImproving the accuracy of carbon accounting in terrestrial ecosystems is critical for understanding carbon fluxes associated with land cover change, with significant implications for global carbon cycling and climate change. Semi‐arid ecosystems account for an estimated 45% of global terrestrial ecosystem area and are in many locations experiencing high degrees of degradation. However, aboveground carbon accounting has largely focused on tropical and forested ecosystems, while drylands have been relatively neglected. Here, we used a combination of field estimates, remotely sensed data, and existing land cover maps to create a spatially explicit estimate of aboveground carbon storage within the Great Basin, a semi‐arid region of the western United States encompassing 643,500 km2 of shrubland and woodland vegetation. We classified the region into seven distinct land cover categories: pinyon‐juniper woodland, sagebrush steppe, salt desert shrub, low sagebrush, forest, non‐forest, and other/excluded, each with an associated carbon estimate. Aboveground carbon estimates for pinyon‐juniper woodland were continuous values based on tree canopy cover. Carbon estimates for other land cover categories were based on a mean value for the land cover type. The Great Basin ecosystems contain an estimated 295.4 Tg in aboveground carbon, which is almost double the previous estimates that only accounted for forested ecosystems in the same area. Aboveground carbon was disproportionately stored in pinyon‐juniper woodland (43.7% carbon, 16.9% land area), while the shrubland systems accounted for roughly half of the total land area (49.1%) and one‐third of the total carbon. Our results emphasize the importance of distinguishing and accounting for the distinctive contributions of shrubland and woodland ecosystems when creating carbon storage estimates for dryland regions.

Study of Jinchuan Mire in NE China I: AMS 14C, 210Pb and 137Cs dating on peat cores

This paper presents dating results of AMS 14C, 210Pb and 137Cs methods on two young peat profiles from Jinchuan Mire in southeast Jilin of China. JC1 (50-cm long) from a hummock of the mire covers 1962–2007 CE with an accumulation rate of 1.12 cm/y, whereas JCA (92-cm long) from a lawn site involves a 1000-year record with a mean sedimentation of 0.09 cm/y. Comparison of the dating results of the last 100-y part of the peat cores, chronologies based on the AMS 14C dating are most reliable, because the mobility of 210Pb and 137Cs in peat profiles causes overestimation of depositional rate with the larger errors in the deeper layers. The F14C of peat samples were significantly lower than that of the atmospheric CO2 for the post nuclear bomb period because of three reasons: (1) uptake of old CO2 dissolved in the water by aquatic plants during photosynthesis; (2) long-term mixing of the atmospheric CO2 in multiple year growth of the plants; and (3) perhaps dilution effect caused by strong surface runoff. Among these factors, Factor (1) accounts for the major influence. Hence, a “bomb 14C curve” from a peat profile is necessary for determining post bomb ages. For the pre-nuclear bomb ages, acid-base-acid (ABA) treatment of a peat sample may cause an older-than-true age due to removal of organic acids produced during photosynthesis. This observation calls for detailed investigation of mechanism study and proper pretreatment of peat samples for 14C dating. The large difference of the depositional rates in the same peatland between JC1 and JCA indicates that estimation of carbon storage in a peatland should be based on the database of multiple sites rather than a couple of cores. For the same reason, one should not use a depositional rate either from a core with distance in the same peatland or from an adjacent peatland.

Carbon storage estimation of tropical urban trees by an improved allometric model for aboveground biomass based on terrestrial laser scanning

Current estimations of the carbon stored by urban trees are usually based on allometric models developed for natural forests. However, urban trees grow in different conditions, and their architecture might differ, thus models developed specially for urban trees are needed. With the aim of improving estimations of carbon storage and sequestration in tropical cities, we developed a model for Singapore’s urban trees based on three-dimensional data acquired on standing trees using a terrestrial LiDAR. This model relates the aboveground biomass (AGB) with the trunk diameter, wood specific density and total height of the tree. Its performance was compared to the performance of selected models for tropical forests and urban trees. As expected, being locally derived, our model reduced the bias of both individual and plot level estimates. The AGB estimates compared to those retrieved from the LiDAR showed a deviation of < 3% at plot level and 36–57% at individual scale. We applied this model to trees of a neighbourhood, where our team has investigated the role of urban vegetation in offseting anthropogenic emissions, as an example of how it could assist Singapore’s efforts to verify climate change mitigation measures.

Reduced water motion enhances organic carbon stocks in temperate eelgrass meadows

AbstractOrganic carbon (OC) storage in coastal vegetated ecosystems is increasingly being considered in carbon financing and climate change mitigation strategies. However, spatial heterogeneity in these “blue carbon” stocks among and within habitats has only recently been examined, despite its considerable implications. Seagrass meadows have potential to store significant amounts of carbon in their sediments, yet studies comparing sediment OC content at regional and meadow scales remain sparse. Here, we collected sediment cores from six temperate eelgrass (Zostera marina) meadows on the coast of British Columbia, Canada, to quantify sediment OC stocks, accumulation rates, and sources, and to examine local and regional drivers of variability. Sediment OC content was highly variable—across all sites, stocks in the top 0–5 cm ranged from 83 to 1089 g OC m−2, while the 15–20 cm stocks exhibited a 24‐fold difference, from 59 to 1407 g OC m−2. Carbon accumulation rates ranged from 4 to 33 g OC m−2 yr−1. Isotopic mixing models revealed that sediment OC was primarily terrestrial carbon (41.3%) and canopy‐forming kelps (33.3%), with a smaller contribution of eelgrass (25.3%). Here, we show that regional variability in OC content exceeds meadow‐scale variability. This result is likely driven by landscape factors, most notably relative water motion, representing a more dominant control on seagrass OC accumulation than meadow‐scale factors such as canopy complexity. These findings elicit caution when scaling up seagrass meadow OC content and demonstrate that measures of the hydrodynamic environment could improve estimates of carbon storage in temperate soft sediment habitats.

Spatiotemporal dynamic simulation on aboveground carbon storage of bamboo forest and its influence factors in Zhejiang Province, China.

Bamboo forests have an efficient carbon sequestration capacity and play an important role in responding to global climate change. However, the current estimation of bamboo carbon storage has some errors, leading to uncertainty in the spatiotemporal pattern of bamboo forest carbon storage. This study simulated aboveground carbon storage of Zhejiang Province, China, during 1984-2014 based on the combination of an improved BIOME-BGC (biogeochemical cycles) model and remote sensing data, with the accuracy being verified with forest resource inventory data. The spatio-temporal distribution and environmental factors of aboveground carbon storage were analyzed. The results showed that the simulated carbon storage was accurate, with average correlation coefficient (r), root mean square error (RMSE) and relative bias (rBIAS) being 0.75, 7.24 Mg C·hm-2 and -2.57 Mg C·hm-2, respectively. Generally, the aboveground carbon storage of bamboo forests in the whole province tended to increase from 1984 to 2014, the range of aboveground carbon density was 13.10-17.14 Mg C·hm-2, and that of the total aboveground carbon storage was between 9.94-17.19 Tg C. The high aboveground carbon storage of bamboo was mainly distributed in developed bamboo industry areas, such as Anji, Lin'an, and Longyou. The change of aboveground carbon storage in bamboo forest was significantly correlated with temperature, precipitation, radiation, CO2 concentration and nitrogen deposition, with higher partial correlation coefficients between precipitation and temperature and carbon storage.

Estimation of carbon storage in coastal wetlands and comparison of different management schemes in South Korea

BackgroundOrganic carbon stored in coastal wetlands, which comprises the major part of oceanic “blue carbon,” is a subject of growing interest and concern. In this study, organic carbon storage in coastal wetlands and its economic value were estimated using the raw data of 25 studies related to soil carbon storage. Data were collected from three tidal flats (one protected and two developed areas) and two estuarine salt marshes (one protected and one restored area). Bulk density, soil organic matter content, and standing biomass of vegetation were all considered, with Monte Carlo simulation applied to estimate the uncertainty.ResultsMean carbon storage in two salt marshes ranged between 14.6 and 25.5 kg C m−2. Mean carbon storage in tidal flats ranged from 18.2 to 28.6 kg C m−2, with variability possibly related to soil texture. The economic value of stored carbon was estimated by comparison with the price of carbon in the emission trading market. The value of US $6600 ha−1 is ~ 45% of previously estimated ecosystem services from fishery production and water purification functions in coastal areas.ConclusionsAlthough our study sites do not cover all types of large marine ecosystem, this study highlights the substantial contribution of coastal wetlands as carbon sinks and the importance of conserving these habitats to maximize their ecosystem services.

Holocene Carbon Burial in Lakes of the Uinta Mountains, Utah, USA

Recent research suggests that organic matter sequestered in lake sediment comprises a larger component of the global carbon cycle than once thought, yet little is known about carbon storage in mountain lakes. Here, we used a set of sediment cores collected from lakes in the Uinta Mountains (Utah, USA) to inform a series of calculations and extrapolations leading to estimates of carbon accumulation rates and total lacustrine carbon storage in this mountain range. Holocene rates of carbon accumulation in Uinta lakes are between 0.1 and 20.5 g/m2/yr, with an average of 5.4 g/m2/yr. These rates are similar to those reported for lakes in Greenland and Finland and are substantially lower than estimates for lakes in Alberta and Minnesota. The carbon content of modern sediments of seven lakes is notably elevated above long-term Holocene values, suggesting recent changes in productivity. The lakes of the Uintas have accumulated from 6 to 10×105 Mt of carbon over the Holocene. This is roughly equivalent to the annual carbon emissions from Salt Lake City, Utah. Based on their long-term Holocene rates, lakes in the Uintas annually sequester an amount of carbon equivalent to the emissions of &lt;20 average Americans.

MAPPING OF BLUE CARBON ECOSYSTEMS: EFFECT OF PROXIMITY, ACTIVITY TYPES AND FREQUENCY OF VISITS IN THE ACCURACY OF PARTICIPATORY MAPS

Abstract. Interest in blue carbon has drastically increased in recent years, particularly in improving the coastal resource carbon storage estimates and the development of methodology for identifying and monitoring such resources. In coastal resource mapping, participatory mapping techniques have the potential to provide a level of granularity and detail by taking advantage of local knowledge. In this work, we aim to evaluate the agreement between blue carbon ecosystem status obtained from participatory mapping versus the ones discriminated from satellite images, as well as assess how “relative proximity” to landmarks affects the accuracy. Results showed that the accuracy of mapped mangrove extents, evaluated as intersection-over-union, is positively correlated with frequency of visits. It is also found that maps generated by participants who have jobs or activities that nurture awareness about mangroves and seagrasses tend to agree better with remotely-sensed maps. The participants were even able to identify small patches of mangroves and seagrasses that are not present in the classified satellite images. While our initial work explores factors that impact the consistency between these sources, there is a need to establish a baseline for which both sources of information are evaluated against; and define relevant accuracy metrics. Our final goal is to systematically combine these two sources of information for an accurate holistic coastal resource map.

Carbon Storage Potential of Ethiopian Highland Bamboo (Arundinaria alpina (K. schum): A Case Study of Adiyo Woreda, South West Ethiopia

Estimation of above ground biomass are required for better planning, sustainable management and monitoring of change in carbon stock in natural stands of bamboo ecosystem. Biomass assessment, the selection or development of reliable allometric biomass equations is an essential step which determines largely the accuracy of the resulted biomass estimates. Unfortunately, only few studies on biomass estimation and allometric biomass equations have been conducted for Ethiopia Highland bamboo and the results are usually not publicly accessible or well documented. Thus, the objective of this study was to estimate carbon storage capacity of natural bamboo stand and develop species-specific allometric equations for above-ground biomass (AGB) estimations for Ethiopia Highland bamboo (Arundinaria alpine). The study site was divided into three landforms based on slope percent from the bottom to the top of the mountain. Accordingly, the three landforms were categorized as flat-gentle slopping (0-20) Slope (20-40) and steep slope (40-60). In each of three land- forms four plots of size of 10 x10m each were laid at every 200m distance between each plot. A total of twelve study plots were taken from the three land forms. Age and DBH of the plants of each plot was taken and plants were grouped into three age class as 3 years of age.

Estimating uncertainty in the volume and carbon storage of downed coarse woody debris.

Downed coarse woody debris, also known as coarse woody detritus or downed dead wood, is challenging to estimate for many reasons, including irregular shapes, multiple stages of decay, and the difficulty of identifying species. In addition, some properties are commonly not measured, such as wood density and carbon concentration. As a result, there have been few previous evaluations of uncertainty in estimates of downed coarse woody debris, which are necessary for analysis and interpretation of the data. To address this shortcoming, we quantified uncertainties in estimates of downed coarse woody debris volume and carbon storage using data collected from permanent forest inventory plots in the northeastern United States by the Forest Inventory and Analysis program of the USDA Forest Service. Quality assurance data collected from blind remeasurement audits were used to quantify error in diameter measurements, hollowness of logs, species identification, and decay class determination. Uncertainty estimates for density, collapse ratio, and carbon concentration were taken from the literature. Estimates of individual sources of uncertainty were combined using Monte Carlo methods. Volume estimates were more reliable than carbon storage, with an average 95% confidence interval of 15.9 m3/ha across the 79 plots evaluated, which was less than the mean of 31.2 m3/ha. Estimates of carbon storage (and mass) were more uncertain, due to poorly constrained estimates of the density of wood. For carbon storage, the average 95% confidence interval was 11.1 Mg C/ha, which was larger than the mean of 4.6 Mg C/ha. Accounting for the collapse of dead wood as it decomposes would improve estimates of both volume and carbon storage. On the other hand, our analyses suggest that consideration of the hollowness of downed coarse woody debris pieces could be eliminated in this region, with little effect. This study demonstrates how uncertainty analysis can be used to quantify confidence in estimates and to help identify where best to allocate resources to improve monitoring designs.

Relationship between electrical conductivity and water content of peat and gyttja: implications for electrical surveys of drained peatlands

ABSTRACTThe application of electrical resistivity tomography to peatlands supports conventional coring by providing data on the current condition of peatlands, including data on stratigraphy, peat properties and thickness of organic deposits. Data on the current condition of drained peatlands are particularly required to improve estimates of carbon storage as well as losses and emissions from agriculturally used peatlands. However, most of the studies focusing on electrical resistivity tomography surveys have been conducted on natural peatlands with higher groundwater levels. Peatlands drained for agriculture have not often been studied using geophysical techniques. Drained sites are characterized by low groundwater levels and high groundwater fluctuations during the year, which lead to varying levels of water saturation. To validate better electrical resistivity tomography surveys of drained peatlands, the aim of this laboratory study is to investigate the influence of varying water saturation levels on electrical conductivity (reciprocal of resistivity) for a variety of peat and gyttja types, as well as for different degrees of peat decomposition. Results show that different levels of water saturation strongly influence bulk electrical conductivity. Distinct differences in this relationship exist between peat and gyttja substrates and between different degrees of peat decomposition. Peat shows an exponential relationship for all degrees of decomposition, whereas gyttja, in particular organic‐rich gyttja, is characterized by a rather unimodal relationship. The slopes for the relationship between electrical conductivity and water content are steeper at high degrees of decomposition than for peat of low degrees of decomposition. These results have direct implications for field electrical resistivity tomography surveys. In drained peatlands that are strongly susceptible to drying, electrical resistivity tomography surveys have a high potential to monitor the actual field water content. In addition, at comparable water saturations, high or low degrees of decomposition can be inferred from electrical conductivity.

Application of electrical resistivity test to estimate carbon storage of tropical peat deposit (Case study of Bengkalis island)

Indonesia has approximately 21 million hectares (ha) of tropical peat land, equivalent to 80% of peat deposit in Southeast Asia. It was estimated that Indonesia has 1.5 Giga tonne of carbon stock. However the estimation is still rough because there was no calculation of volume yet. This study explain the use the geophysical method of electrical resistivity test (ERT) combined with real time kinematic (RTK) and laboratory test to estimate the volume of peat deposit. Direct boring was also done to verify the ERT results. The location of study is in Bengkalis Island, Riau-Indonesia. Twelve (12) locations of ERT has been conducted covering area of 127164.667 ha. Visual observation from boring sample reveal that the peat in generally are fibric to hemic or H2-H6 according to Von Post classification. The peat layer has resistivity value range between 20-150 ohm meter. In general the peat can be classified as very deep peat with average thickness of 6.4 m. The ERT revealed that average lateral variability of peat thickness electrode line is less than 0.6 m. The estimated peat volume is 6803206275.152 m3. The average ash content is 6.5% which equivalent to 53.9% of carbon content. The average bulk density is 0.09 tonne/m3. It was estimated the carbon sink of the location is 330023536.41 tonnes which equivalent to 2595.3 tonne/ha.

Inventory of Vegetation and Assessment of Carbon Storage Capacity towards a Low Carbon Campus: a Case Study of Universiti Tun Husein Onn Malaysia, Johor Malaysia

Carbon dioxide, a vital greenhouse gas plays a key role in Earth's carbon cycle, a concentration above ambient temperature results in global warming. High CO 2 emission in Universiti Tun Husein Onn Malaysia is due to an increase in a number of automobiles and other greenhouse gases released from building facilities and nearby industries. A study was carried out on 22 common trees planted within the campus on the estimated amount of CO 2 sequestered. Estimation of carbon storage of trees was obtained through the assessments of standing biomass as well measurement of their photosynthetic capacity. Results indicated that Spathodea campanulata has the highest CO 2 absorption (14.40 µmol/ m -2 /s -1 ) followed by Acacia mangium (14.03 µmol/m -2 /s -1 ), and Cananga odorata with (12.80 µmol m-2 s-1). Alstonia scholaris has the highest aboveground standing biomass accumulation of 106.94 kg, followed by Samanea saman (20.83 kg), and Acacia mangium (19.43 kg). The total biomass accumulated of all the tree species is 200.03 kg. Therefore, species of trees in Universiti Tun Husein Onn Malaysia main campus have the potential to absorb a significant amount of CO 2 from the atmosphere thereby contributing to mitigating-the localized effects of global warming.

Spatiotemporal Variations of Aboveground Biomass under Different Terrain Conditions

Biomass is a key biophysical parameter used to estimate carbon storage and forest productivity. Spatially-explicit estimation of biomass provides invaluable information for carbon stock calculation and scientific forest management. Nevertheless, there still exists large uncertainty concerning the relationship between biomass and influential factors. In this study, aboveground biomass (AGB) was estimated using the random forest algorithm based on remote sensing imagery (Landsat) and field data for three regions with different topographic conditions in Zhejiang Province, China. AGB distribution and change combined with stratified terrain classifications were analyzed to investigate the relations between AGB and topography conditions. The results indicated that AGB in three regions increased from 2010 to 2015 and the magnitude of growth varied with elevation, slope, and aspect. In the basin region, slope had a greater influence on AGB, and we attributed this negative AGB-elevation relationship to ecological forest construction. In the mountain area, terrain features, especially elevation, showed significant relations with AGB. Moreover, AGB and its growth showed positive relations with elevation and slope. In the island region, slope also played a relatively more important role in explaining the relationship. These results demonstrate that AGB varies with terrain conditions and its change is a consequence of interactions between the natural environment and anthropogenic behavior, implying that biomass retrieval based on Landsat imagery could provide considerable important information related to regional heterogeneity investigations.

Does the root to shoot ratio show a hormetic response to stress? An ecological and environmental perspective

Root/shoot (R/S) ratio is an important index for assessing plant health, and has received increased attention in the last decades as a sensitive indicator of plant stress induced by chemical or physical agents. The R/S ratio has been discussed in the context of ecological theory and its potential importance in ecological succession, where species follow different strategies for above-ground growth for light or below-ground competition for water and nutrients. We present evidence showing the R/S ratio follows a biphasic dose–response relationship under stress, typical of hormesis. The R/S ratio in response to stress has been widely compared among species and ecological succession classes. It is constrained by a variety of factors such as ontogeny. Furthermore, the current literature lacks dose–response studies incorporating the full dose–response continuum, hence limiting scientific understanding and possible valuable application. The data presented provide an important perspective for new-generation studies that can advance current ecological understanding and improve carbon storage estimates by R/S ratio considerations. Hormetic response of the R/S ratio can have an important role in forestry for producing seedlings with desired characteristics to achieve maximum health/productivity and resilience under plantation conditions.

Inventory and Assessment of Carbon Storage Capacity of species of Palms in Universiti Tun Husein Onn Malaysia, Main Campus, Batu Pahat, Johor Malaysia

Carbon dioxide constitutes about 0.04% of greenhouse gases in the atmosphere. Its concentration in the atmosphere influences the climate pattern of the world. The unceasing rise above the ambient level leads to global warming. The increase in CO2 release in UTHM (238.8964 ha), was due to the increasing number of more vehicles, and from other greenhouse gases release from structures, facilities and discharges from neighboring industries calls for attention. A study was conducted on eleven most common species of palms for their capacity to sequester a considerable amount of CO2. The Estimate of carbon storage of the palms plants was obtained by the assessments of the above standing biomass and their photosynthetic capacity. Results show that R. regia has the highest CO2 absorption capacity (10.61 µmol m-2 s-1) followed by O. tigillarium (7.26 µmol m-2 s-1), and W. bifurcata (6.83µmol m-2 s-1). E. guineensis has the highest aboveground biomass accumulation (0.09kg), followed by R. regia (0.05 kg). E. guineensis has the maximum biomass accumulation (15.13 kg), followed by L. chinensis (12.68 kg), then C. renda sp and R. regia with (8.54kg/8.43) on species abundance. The total standing biomass captured by all the palms species is 69.32kg (0.069 tons) of carbon. Hence, species of palms plants in UTHM have the capacities to absorb sufficient quantity of CO2 from the atmosphere thus contributing to the reducing-the effects of world-wide warming and climate alteration

Assessment and Potential of Carbon Storage Capacity of Species of Herbaceous Plants in Universiti Tun Hussein Onn Malaysia, Main Campus, Batu Pahat, Johor Malaysia

Carbon dioxide CO2 is an important trace gas in earth's atmosphere. It is a greenhouse gas that plays a vital role in regulating the earth's surface temperature through the greenhouse effect. Increase beyond the ambient concentration leads to global warming. Increase in CO2 discharge in UTHM (238.9 ha), due to increase in a number of vehicles; other greenhouse gases released from building amenities and dis-charges from neighbouring industries appeals for attention. Study was conducted on seven common species of herbaceous plants for their capacity in sequestering CO2. Estimation of carbon storage of herbaceous plants was obtained by the assessments of the aboveground standing biomass and their photosynthetic capacity. Musa sp has the highest CO2 absorption of 12.2µmol m-2 s-1, followed by Heliconia. psittacorum (10.63µmol m-2 s-1). Euphorbia tithymaloides and Costus spicatus has the lowest absorption with 3.63 and 3.76 µmol m-2 s-1 respectively. Calathea lutea and Hymenocallis latifolia shared the highest biomass accumulation of 0.04 kg. These were followed by E. tithymaloides and Alpinia purpurata with 0.02 kg. The least biomass of 0.01 kg was accumulated by H. psittacorum and C. spicatus. The total standing biomass captured by all the species of herbaceous plants is 0.13 kg. Therefore, species of herbaceous plants in UTHM have the potentials to absorb an adequate amount of CO2 from the atmosphere thereby contributing to reducing-the effects of localized global warming.

Leaf area density from airborne LiDAR: Comparing sensors and resolutions in a temperate broadleaf forest ecosystem

Forest processes that play an essential role in carbon sequestration, such as light use efficiency, photosynthetic capacity, and trace gas exchange, are closely tied to the three-dimensional structure of forest canopies. However, the vertical distribution of leaf traits is not uniform; leaves at varying vertical positions within the canopy are physiologically unique due to differing light and environmental conditions, which leads to higher carbon storage than if light conditions were constant throughout the canopy. Due to this within-canopy variation, three-dimensional structural traits are critical to improving our estimates of global carbon cycling and storage by Earth system models and to better understanding the effects of disturbances on carbon sequestration in forested ecosystems. In this study, we describe a reproducible and open-source methodology using the R programming language for estimating leaf area density (LAD; the total leaf area per unit of volume) from airborne LiDAR. Using this approach, we compare LAD estimates at the Smithsonian Environmental Research Center in Maryland, USA, from two airborne LiDAR systems, NEON AOP and NASA G-LiHT, which differ in survey and instrument specifications, collections goals, and laser pulse densities. Furthermore, we address the impacts of the spatial scale of analysis as well as differences in canopy penetration and pulse density on LAD and leaf area index (LAI) estimates, while offering potential solutions to enhance the accuracy of these estimates. LAD estimates from airborne LiDAR can be used to describe the three-dimensional structure of forests across entire landscapes. This information can help inform forest management and conservation decisions related to the estimation of aboveground biomass and productivity, the response of forests to large-scale disturbances, the impacts of drought on forest health, the conservation of bird habitat, as well as a host of other important forest processes and responses.

BIOMASSA AND ACCUMULATION CARBON ON SEAGRASS Enhalus acroides IN GUNUNG BOTAK BAY COASTAL, WEST PAPUA

Seagrass is a high level and a flowering plant that is fully adapted to life in the coastal and has ability to store carbon by 10% of the carbon content in the oceans. The research doing at Gunung Botak Bay Coastal South Manokwari Regency with objective of research to estimate seagrass density and to estimate rate accumulation of carbon from Enhalus acroides. Some the stages of the research done is density sample as long to period 2015 (April and Mei) into (September and Ocktober). Other sampling to collecting seagrass to estimate carbon storage in part like daun, rhizome root and substrat. Result to showing average carbon accumulation of seagrass in above below ground is rhizome part and higher in Statiun1 (13.16±3.8),stasiun 3 (5.4±2.9) dan stasiun 5 (6.2±1.1) or the generally accumulation carbon in the three is 8.24 kg from Enhalus acroides. Future more, accumulation carbon in sediment as a 1664,2 in dept 0-20 cm and 20-60 cm. Seagrass carbon storage capabilities will assist in mitigation efforts to reduce the impact of climate change in Indonesia, especially in West Papua.

Forest carbon storage in Guizhou Province based on field measurement dataset

Accurate estimation of forest carbon storage is crucial in understanding global and regional carbon cycles and projecting future ecological and economic scenarios. Guizhou is the largest karst landform province in China; 61.9% of its land area is characterized as karst. However, monitoring its field biomass and carbon storage is difficult. This study synthesized and analyzed a comprehensive database of direct field observations of forest vegetation and soil carbon storage in Guizhou Province by using data from existing literature. The total vegetation carbon storage in Guizhou Province was 488.170 TgC, the average vegetation carbon density (VCD) was 27.866 MgC hm−2, the total amount of soil organic carbon (SOC) (20 cm) was 1017.364 TgC, and the average SOC density was 58.074 MgC hm−2. Among all vegetation types, needleleaf forest had the highest vegetation carbon stocks, and scrub presented the highest SOC storage. The vegetation and SOC storage values of the karst landform were 282.352 and 614.825 TgC, respectively, which were higher than those of the non-karst landform. VCD was concentrated at 10–40 MgC hm−2, and SOC density was concentrated at 40–60, 60–80, and 80–100 MgC hm−2. This comprehensive regional data synthesis and analysis based on direct field measurement of vegetation and soil will improve our understanding of the forest carbon cycle in karst landforms under a changing climate.