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Pruning represents the main tree care activity in cities, where it is carried out to reduce wind-break risk, to ensure road visibility, to reduce infrastructure interactions and damages, and last but not least, for aesthetic reasons. However, pruning is also proven to increase tree susceptibility to disease and it can potentially affect their capacity to provide ecosystem services (ES). This study aims to assess the effect of three different life-long pruning scenarios on urban trees PM10 capture and CO2 stock performance. The total carbon balance of twelve tree species (Acer platanoides L., Cedrus spp., Celtis australis L., Cupressus arizonica Greene, Cupressus sempervirens L., Pinus halepensis Mill., Pinus nigra J.F. Arnold, Pinus pinea L. Platanus hybrida Brot., Populus nigra L. var. 'Italica', Quercus ilex L., and Tilia cordata Mill.) was evaluated, including the disposal of the pruning residues of the trees. In all management scenarios studied, pruning represented an opportunity to increase the crown Carbon stock up to 65 %, taking into account the full reestablishment of the crown. The results suggest considering more frequent and less intense ordinary pruning scenarios as a preferable tree management strategy to optimise the tree ES performance and minimise branch dieback occurrence. In addition, the analysis carried out on four different waste wood disposal methods showed that the open dump scenario was the lowest CO2 eq re-emission choice.

This study aimed to predict distribution and Total Carbon Stock (TCS) dynamics of Acacia abyssinica, Carissa edulis, and Juniperus procera in the Hugumbrda Grat-Kahsu National Forest in current (1970–2000) and future climate scenarios (2021–2100). Bioclimatic, soil, and elevation data were used for modeling using Maxent, with model accuracy evaluated using Area Under the Curve (AUC), Kappa test and True Skill Statistic (TSS). Significant differences were observed in distribution of species between current and future periods under Shared Socioeconomic Pathways (SSPs) of SSP2-4.5 and SSP5-8.5 scenarios. The main contributing predictors of the species distribution were temperature seasonality, altitude, and precipitation of the warmest quarter. All species were projected to shift to higher altitudes in the future. Acacia abyssinica’s current potential distribution (42.9 %) could expand to 77.1–99.2 % (SSP2-4.5) and 63.8–72.9 % (SSP5-8.5). Carissa edulis could extend from 54.2 % to 89.5–100 % (SSP2-4.5) and 77.1–87.9 % (SSP5-8.5). Juniperus procera’s might increase from 63.8 % to 91.8-99.7 % (SSP2-4.5) and 78–88.1 % (SSP5-8.5). The projected future climate is expected to result in an expansion of new suitable areas for all three species. The TCS estimates per km2 were 169 (Acacia abyssinica), 46 (Carissa edulis), and 1381 ton (Juniperus procera). In SSP2-4.5, Acacia abyssinica’s TCS could rise from 25,688 to 59,319 tons, Carissa edulis from 8,832 to 16,284 tons, and Juniperus procera from 312,106 to 487,493 tons. In SSP5-8.5, projections indicated 43,602 tons (Acacia abyssinica), 14,306 tons (Carissa edulis), and 430,872 tons (Juniperus procera). The study concludes by recommending the strategic planting of these species in both current and future suitable areas to enhance ecosystem services and ensure their sustained existence in the face of changing climates.

Aquaculture is one of the main drivers of mangrove loss across Southeast Asian countries. The conversion of mangroves to aquaculture generates substantial loss of carbon stocks and reduces carbon storage capacity. Here, we present total ecosystem carbon stocks (TECS), carbon dioxide (CO2) and methane (CH4) effluxes obtained from mangrove forests (fringe and interior mangroves), silvofishery aquaculture ponds (dense and sparse mangroves), and non-silvofishery aquaculture ponds in Sawah Luhur, Banten, Indonesia. We found no significant difference in TECS across five land uses, ranging from 261 ± 14 Mg C ha-1 in non-silvofishery ponds to 574 ± 119 Mg C ha-1 in fringe mangroves. Most of these stocks were found in the soil carbon pool (87%) in fringe and interior mangroves. However, the conversion of mangroves to aquaculture ponds resulted in soil carbon loss from -6% to 60%. The highest soil CO2 effluxes during dry and wet seasons were observed in interior mangroves (151 ± 12 mg CO2 m-2 h-1). The highest soil CH4 effluxes were found in fringe mangroves with 0.13 ± 0.04 mg CH4 m-2 h-1. The highest aquatic CO2 and CH4 effluxes were found in dense silvofishery ponds, at 118 ± 7 mg CO2 m-2 h-1 and 0.38 ± 0.04 mg CH4 m-2 h-1, respectively. Our findings suggest that land use that includes mangroves (i.e., mangrove forest and/or silvofishery ponds) tends to have higher carbon stocks, soil, and aquatic CO2 and CH4 effluxes, compared to aquaculture ponds without mangroves. It is therefore crucial to maintain mangroves for natural carbon capture and storage through carbon stock enhancement.

Synergies and trade-offs among land use and land covers (LULCs) pose considerable uncertainties in achieving the dual carbon goals for China's Loess Plateau (CLP). In this context, we unraveled the carbon stock dynamics induced by land use and land cover change (LUCC) in the CLP over the past 40 years using the satellite-derived annual LULC maps and the InVEST model. Then, mixed measures were employed to quantify the global and local responses of the carbon stock dynamics to both natural and anthropogenic factors. We found that approximately a total of 5.58 × 109 Mg of carbon was stored in the CLP's ecosystems in 2019. Chronologically, the total carbon stock showed a slight decrease in the CLP from 1980 to 2019 due to the extensive LUCCs linked to socioeconomic activities. Specifically, the total carbon density loss rate accelerated in urban–rural-wild continuum (RUWC) types with higher human activity intensity, such as villages and urban, while it decelerated in woodlands, and croplands, where the human activity intensity is lower. Moreover, the total carbon density gain rate in wildlands was accelerating. Finally, we revealed that the carbon stock dynamics in the CLP over the past 40 years were primarily influenced by socioeconomic variables and have responded diversely to the drivers in space.

Carbon stock and diversity of species together address the two most pressing concerns for successful ecosystem functioning and management, namely climate change and biodiversity loss. Understory vegetation is a significant indicator of plant biodiversity, contributing to forest carbon storage, sustaining species, and providing many ecological services. However, little research has been done about the contribution of the understory carbon stock in the forests, most likely because these understory components only make up a small portion of the total carbon stock of the forest ecosystem. To fill this knowledge gap, the current study sought to study the baseline understory (shrub and herb) diversity and carbon stock from the Zabarwan Mountain Range. Data on the characteristics of the understory vegetation in five different forest types were gathered using a random sample method. Using the Pearson method, we calculated the correlation coefficient between the diversity parameters and the carbon stock. The calculated average total carbon stock in the understory was determined to be 3.93 Mg C/ha (1.55–9.2 Mg C/ha). The shrub layer contributed a maximum value of 82 % of carbon stock. The increasing trends in total understory carbon were Parrotiopsis forest Broad-leaved forest > Acacia forest > Pinus forest > Parrotiopsis forest. Overall, the data show that coniferous-dominated woodlands had higher understory carbon stocks than other kinds of woodlands. The data acquired highlights the importance of shrub carbon stock storage in the understory layer in this Himalayan region. The current research on understory vegetation provides strong evidence for maintaining forest management practices that enable and encourage the planting of multiple layers of vegetation in landscape restoration as approaches to improve biodiversity while increasing resistance to climate change.

Global warming is a significant challenge, and carbon stocks in terrestrial ecosystems are crucial for reducing the greenhouse effect and increasing sinks. A study was conducted in Zhengzhou City from 2000 to 2020 using Landsat image spectral reflectance to analyze changes in carbon stock. Environmental variables such as surface moisture, salinity, vegetation index, brightness, and soil texture were constructed. Multiple linear regression (MLR), support vector machine regression (SVR), random forest regression (RFR), and long short-term memory (LSTM) models were used to invert the carbon stock. The results showed that the NDCS index, constructed using Landsat's blue band and NIR band, was the best inversion variable for carbon stock, with the clay index (CI) playing a primary role. The LSTM algorithm had the best fitting effect on carbon stock, with an R2 of 0.84 and RMSE of 3.56. The carbon stock in Zhengzhou City decreased by 13.93% between 2000 and 2020, possibly due to the large-scale reduction of arable land. Future land-use planning should focus on protecting arable land, optimizing land-use patterns, and enhancing the ecosystem's carbon sequestration capacity.

Agroforestry is a land management strategy with high potential for carbon sequestration. However, the high carbon sequestration potential for agroforestry is still doubtful in many developing countries. This study investigates smallholder farmers’ preferred woody species for agroforestry and their carbon stock potential in West African Savannah. A sample of 345 smallholder farmers was selected across the four area councils within the Nandom Municipality. The plot method was adopted in surveying the woody species on farmlands. A non-destructive biomass estimation method was used by applying an area specific allometric model. A factor of 0.47 was used to convert the biomass of the preferred tree species to carbon. Parkia biglobosa, Acacia sp, Vitellaria paradoxa, Mangifera indica, and Azadirachta indica were the most preferred tree species. The preference for the tree species was based on the socio-economic and environmental benefits smallholders derived from the tree species. Vitellaria paradoxa and Parkia biglobosa were the tree species with the highest carbon stock potential. The study recommends that the Ministry of Food and Agriculture, in collaboration with the Forestry Service Commission and Non-Governmental Organisations interested in promoting agricultural activities, should facilitate training smallholder farmers on the nursery and integration of these tree species with their crops.

Savannas constitute a mixture of trees and shrub patches with a more continuous herbaceous understory. The contribution of this biome to the soil organic carbon (SOC) and above-ground biomass (AGB) carbon (C) stock globally is significant. However, they are frequently subjected to land use changes, promoting increases in CO2 emissions. In Uruguay, subtropical wooded savannas cover around 100,000 ​ha, of which approximately 28% is circumscribed to sodic soils (i.e., subtropical halophytic wooded savannas). Nevertheless, there is little background about the contribution of each ecosystem component to the C stock as well as site-specific allometric equations. The study was conducted in 5 ​ha of subtropical halophytic wooded savannas of the national protected area Esteros y Algarrobales del Río Uruguay. This work aimed to estimate the contribution of the main ecosystem components (e.g., soil, trees, shrubs, and herbaceous plants) to the C stock. Site-specific allometric equations for the most frequent tree species and shrub genus were fitted based on basal diameter (BD) and total height (H). The fitted equations accounted for between 77% and 98% of the aerial biomass variance of Neltuma affinis and Vachellia caven. For shrubs (Baccharis sp.), the adjusted equation accounted for 86% of total aerial biomass. C stock for the entire system was 116.71 ​± ​11.07 ​Mg⋅ha−1, of which 90.7% was allocated in the soil, 8.3% in the trees, 0.8% in the herbaceous plants, and 0.2% in the shrubs. These results highlight the importance of subtropical halophytic wooded savannas as C sinks and their relevance in the mitigation of global warming under a climate change scenario.

Peatlands, as an important carbon sink, store a large amount of atmospheric carbon that is vulnerable to becoming a carbon emission source due to the disturbance of the peat layer by natural and anthropogenic processes. The Kuan Kreng peat swamp forest is the second largest peatland in Thailand and is in coastal wetland serving for carbon stock in the subsurface. To assess carbon stock in peatland, the thickness and distribution of the peat layer are necessary. This study determines physical and chemical characteristics of the peatlands in the coastal wetland, southern Thailand by conventional core study and geophysical surveys, including ground penetrating radar (GPR) and electrical resistivity imaging (ERI). There is a significant relationship between chemical and physical properties from the peat layer, which is useful to approximately predict the physical properties and peat layers in the geophysical profiles. The resistivity profiles exhibit high resistivity response, peat between 21.9 and 145.0 ohm-m, interpreted as the peat layers in the shallow subsurface. The high resolution GPR profiles provide an average GPR velocity in peat of 0.040 m/ns and a relative dielectric constant of 54.9 for the peat layers. The peat layer is characterized by a high amplitude of reflection in the GPR profiles. The thickness of the peat layers was estimated from the geophysical surveys and the drilling cores having an average thickness of 18 cm. Average values of bulk density (0.19 g/cm3) and TOC (31.18 wt. %) from the drilling core samples are used to calculate the carbon density in the peat layers giving a result of 59.24 Kg C/m3. Hence, the carbon stock at the Kuan Kreng peat swamp forest is estimated at least 7.53 megaton carbon, which is much higher than aboveground biomass carbon in this area. The innumerably high amount of carbon stock could raise awareness of peatland disturbances.

This study examines soil properties in 30- and 60-year-old agricultural biocorridors and provides a comparative overview with neighbouring farmland. Both mixed and undisturbed soil samples were collected from six farmland/biocorridor study areas to assess a wide spectrum of physical, hydrophysical, chemical and biological soil properties. Biocorridor soils were characterised by higher water retention capacities, porosity, aeration and soil carbon stock, the latter increasing with depth. On the other hand, biocorridor bulk density under forest vegetation cover was lower, indicating progressive soil restoration. Slightly lower soil reactions in biocorridor soils disproved the hypothesis that nutrient-rich soils under biocorridors would form substrates with a high base cation content, leading to soil acidification. Biological activity, expressed through respiration coefficients, was generally low due to unfavourable physical conditions (clayey or silty-clay substrates), with the lowest levels in biocorridors. Nevertheless, biocorridor soil microbiota displayed more effective utilisation of organic matter as a carbon and nitrogen source, with lighter-textured soils tending to show more effective organic matter utilisation after excluding the influence of land use. Our results confirm biocorridors as an important landscape component, contributing to both soil stability and local revitalisation of soil environments and further emphasising their potential as climate-change mitigation tools in their role as carbon sinks.

The assessment of tree biomass and its carbon (C) stock at the local and regional level is considered a crucial criterion for understanding the impact of changing environments on the global carbon cycle. In this context, we selected three sites in the western Himalayas, covering parts of Himachal Pradesh and north-eastern Haryana. Each study site experiences distinct climatic conditions, vegetation types, and elevations. We seek to elucidate the determinants of tree biomass and carbon stock across different forest types in the Western Himalayas. We found that temperate forests contributed the most biomass and carbon stock, with Cedrus deodara attaining the highest values of 782.6 ± 107.9 Mg/ha and 360 ± 49.7 Mg C/ha. In contrast, Quercus leucotrichophora mixed temperate had the lowest 286.6 ± 57.2 and 128.9 ± 25.7 Mg/C ha, respectively. Only a few species, such as Abies pindrow, Cedrus deodara, Quercus floribunda, and Quercus semecarpifolia, accounted for significant biomass and carbon stock. The lower elevation subtropical forests had the highest species richness (8–12 species) and stem density (558.3 ± 62.9 to 866.6 ± 57.7 trees/ha). Furthermore, tree diameter, total basal cover, and height emerged as the strongest predictors of biomass and C stock. The remaining variables showed no significant associations, including species diversity, climatic attributes and elevation. Thus, our study extended the assertion that vegetation composition and structural attributes, apart from climatic and topographic factors, are equally important in determining biomass and C stock in forest ecosystems. Our study indicated that the temperate forests in the western Himalayas possess significant carbon storage and climate change mitigation potential.

In the context of present climate change concerns, the quantification of forest biomass and the comprehension of carbon stock distribution within protected areas are of paramount importance for exact carbon budgeting and the development of effective forest management strategies. This study conducted comprehensive field assessments with the primary objective of quantifying tree biomass and carbon stocks, as well as assessing structural attributes of forest stands. These assessments involved the meticulous collection of ground-based data encompassing various structural attributes, including circumference at breast height (CBH), stem height, basal area, stem density, frequency, girth class by utilizing a simple random sampling methodology. The results of this study unveiled substantial variations in all tree structural attributes across different forest stands along altitudinal gradients. Notably, species richness, tree density and species diversity exhibited an upward trend with increasing altitude. The maximum tree species richness (25) and tree density (1068 ± 102.2 individuals ha−1) were recorded at stand-IV, situated between 2200 to 2400 m, however, stand-I exhibited the maximum basal area. The highest aboveground, belowground, total biomass, and carbon stock was estimated in the stand-IV, with values of 279.12 ± 17.56 Mg ha−1, 65.58±11.20 Mg ha−1, 344.70 ± 20.66 Mg ha−1, and 163.73 ± 10.33 Mg ha−1, respectively. The study further revealed a positive correlation between elevation and species richness, biomass, and carbon stock. Additionally, it demonstrated positive correlations between total biomass and carbon stock with species richness, total basal area, and tree density. These findings convey immediate significance for the development and implementation of climate change mitigation policies and practices, particularly within the context of protected areas in the Himalayan landscape.

Abstract Harvested wood products (HWP) may contribute to climate change mitigation by storing carbon and by replacing energy‐intensive materials and fossil energy, reducing greenhouse gas (GHG) emissions. However, when assessing improved HWP utilisations, interactions between wood use pathways, the carbon stock dynamics, and the resulting effect on the GHG balance are still not well‐understood. This research aims to assess the carbon sequestration effects of alternative wood product utilisations in four European Union (EU) countries. We conducted a material flow analysis of wood uses in France, Finland, Germany, and Spain for 2017 taking into account national production, imports, and exports. Then, we quantified the future dynamics of carbon stock in the HWP through time, assuming the same as in 2017 input and ignoring the forest sink. We then ran six alternative scenarios: two energy‐focused (Energy, Energy+), two material‐focused (Cascading, Material), one with extended half‐life of the wood products (HL) and one as business as usual. For the simulation period (2020–2050), the material scenario leads to the highest mitigation benefits with a cumulative HWP net CO2 removals of −502 Mt CO2 for Germany, −290 Mt CO2 for France, −118 Mt CO2 for Spain, and −116 Mt CO2 for Finland over the 30 years. The Energy+ scenario with an increase in wood usage for bioenergy generates a loss of the HWP pool of 351, 80, 77, and 6 Mt CO2 for the same countries, not accounting for energy substitution effects. Overall, our results suggest that the HWP carbon stock can be increased in the short‐medium term by prioritizing the use of wood for material purposes, while maintaining constant harvest. The HWP mitigation potential differed greatly according to national wood industry characteristics. Hence, tailoring the HWP mitigation strategies to the specific characteristics of the national wood chain would enhance the HWP climate benefits.

Smallholder farmers in the Wondo Genet were forced to switch from long-standing, diverse traditional home gardens to monoculture khat production due to increasing population pressure-induced farmland constraints. The composition of woody species and the biomass carbon stock are thought to drop as homegardens transition from polyculture to monoculture; however there is little quantitative evidence to support this claim. This study was started to assess the effects on woody species, enset, and biomass carbon of converting traditional homegardens to a fast spreading perennial monocropping of khat (Catha edulis Forskal). In 10 m × 10 m (100m2) plots from 43 farms with neighboring land use patterns for each homegarden and khat, woody species and enset were inventoried, the total number of tree, shrub, and enset species counted, as well as the height and diameter of each species measured. To determine the biomass carbon stock of each land use type, both general and species-specific allometric equations are used. Simpson's diversity index, Shannon-Wiener, and Shannon equitability were used to evaluate the diversity of enset and woody species. There were 27 different types of woody species identified, with trees making up 67 % of the total and shrubs accounting for 33 %. Shannon, Simpson, and the richness of woody species all decreased by 46 %, 51 %, and 38 %, respectively, in comparison to residential gardens. For homegardens and khat, respectively, the mean Evenness values were 0.876 and 0.539. In homegardens, Coffea arabica was the most valuable woody species, followed by Cordia africana Lam, Persea americana, Eucalyptus camaldulensis, and Grevillea Robusta. In contrast, Catha edulis was the most valuable woody species in the Khat land use type, followed by Coffea arabica, Croton macrostachyus Del, and Cordia africana. In comparison to homegardens, the above-ground, below-ground, and total biomass carbon reported in khat land use types were reduced by 18 %, 63 %, and 42 %, respectively. Grevillea and Eucalyptus species made up 51 % of the total biomass carbon stock in the homegardens, which suggests that khat and quickly expanding fast-growing plants have displaced native woody species.Understanding the long-term effects of agro-biodiversity loss requires greater research on the implications of the decline in woody species diversity and biomass carbon stock on soil fertility and sustainable farming. This is due to the numerous functions that woody species and enset play.

The manifestation of modern global climate change is increasingly intensifying, affecting anthropogenic and natural systems. Bioclimatic models predict significant shifts in biome boundaries, including a reduction in the portion of forests in the forest-steppe areas. This process may also affect carbon stocks. The aim of this work is to assess the impact of climate and its changes on the values and variations of carbon stocks in the phytomass of forest stands by data of repeated surveys of permanent test plots. Eight forests have been selected in the southern regions of European Russia (ER), and test plots are laid in them. Repeated surveys were performed on the test plots in 2010–2011, 2014–2015, and 2019–2020. The carbon reserves of living and dead components of forest stands were calculated according to taxation characteristics. The litter carbon stocks were determined by the gravimetric method. Meteorological data from the meteorological stations closest to the study objects were analyzed. The mean annual temperature for 1991–2020 increased as compared to 1961–1990 by 1.13°C, which was 2.5 times greater than the global mean. Annual precipitation decreased from 448.2 to 445.4 mm. The mean value of G.T. Selyaninov's hydrothermal coefficient (HTC) for May–September was 0.85 during the period of 1961–1990 and 0.79 in 1991–2020. The stock of the phytomass carbon in the studied forest stands varied from 38.5 ± 7.4 t C ha–1 to 270.6 ± 52.8 t C ha–1. Repeated surveys revealed both increases and decreases in phytomass carbon stocks, which ranged from –23.8 to 31.9 t C ha–1 over a 5-year period. The analysis of phytomass carbon stocks and climatic characteristics revealed a statistically significant correlation with the HTC for May–September. However, the comparison of changes in phytomass with variations in the mean annual temperature, annual precipitation, and the HTC for May–September did not reveal significant dependencies. The absence of significant correlations between changes in phytomass carbon and in climatic parameters may be explained by the stability of forest ecosystems, which ensures the preservation of their functions during several-year-long periods. [ABSTRACT FROM AUTHOR]

Backgorund: Forest plays an important role in the global carbon cycle by sequestering carbon dioxide and thereby mitigating climate change. In this study, an attempt was made to investigate the effects of land use/land cover (LULC) change (1989–2017) on carbon stock and its economic values in tropical moist Afromontane forests of the Majang Forest Biosphere Reserve (MFBR), south-west Ethiopia. Systematic sampling was conducted to collect biomass and soil data from 140 plots in MFBR. The soil data were collected from grassland and farmland. InVEST modelling was employed to investigate the spatial and temporal distribution of carbon stocks. Global Voluntary Market Price (GVMP) and Tropical Economics of Ecosystems and Biodiversity (TEEB) analysis was performed to estimate economic values (EV) of carbon stock dynamics. Correlation and regression analyses were also employed to identify the relationship between environmental and anthropogenic impacts on carbon stocks. Results: The results indicated that the above-ground carbon and soil organic carbon stocks were higher than the other remaining carbon pools in MFBR. The mean carbon stock (32.59 M tonne) in 2017 was lower than in 1989 (34.76 Mt) of MFBR. Similarly, the EV of carbon stock in 2017 was lower than in 1989. Elevation, slope, and harvesting index are important environmental and disturbance factors resulting in major differences in carbon stock among study sites in MFBR. Conclusions: Therefore, the gradual reduction of carbon stocks in connection with LULC change calls for urgent attention to implement successful conservation and sustainable use of forest resources in biosphere reserves. [ABSTRACT FROM AUTHOR]

Forests are the potential source for managing carbon sequestration and balancing universal carbon equilibrium between sources and sinks. In view of the importance of biomass, this study makes an attempt to estimate temporal and spatial carbon stock of Godebie National Park, Ethiopia, using Moderate Resolution Imaging Spectro radiometer (MODIS), normalized difference vegetation index (NDVI), enhanced vegetation index (EVI) and the field inventory data through geospatial techniques. A model was developed for establishing the relationship between forest carbon, EVI, and NDVI in the selected study site. The correlation value between estimated carbon stock with EVI were found as 0.69, while with NDVI, the values were obtained as 0.87 respectively. The regression model of measured biomass with NDVI and EVI was developed for the data obtained during the period 2020-2021. The R² values obtained were 0.81 for the regression model between estimated carbon stock and EVI, and 0.77 for the regression model between NDVI and estimated carbon stock. The results indicate that the methodology adopted in this study can help in selecting best fit model for analyzing relationship between carbon stock and NDVI/EVI and for estimating biomass and carbon stock using allometric equation at various spatial scales. The produced output map and allometric equation revealed carbon stock distribution of 5.88 t/ha up to 900 t/ha, with an average value of 406.67. Generally, the approaches used on this study can be used by the forest planners, policy makers, and government officials for conservation and protection of the forest ecosystem. [ABSTRACT FROM AUTHOR]

Understanding the variations in plant diversity, soil physico-chemical characteristics, and biomass storage under an age chronosequence of farm forests is crucial to advance our knowledge of their potential role in biodiversity conservation, soil management and climate change mitigation. The present work was conducted from September 2018 to February 2020 in randomly selected young unmanaged farm forests categorized into ≤ 5, 5–10 and 10–15 years old age classes with standard procedures of estimating diversity indices, biomass, carbon and soil physico-chemical parameters. Overall species richness of the plantations was 28, of which 11 were trees, 9 herbs, 3 shrubs, 3 climbers and 2 ferns. The quantitative vegetation parameters and diversity indices estimated indicate that the farm forests' plant assemblages constitute mainly native species. Based on IVI values, herbs were the most critical species, followed by shrubs and trees. With the increasing farm age, the species richness, the vegetative parameters and diversity indices decreased. The soil of the plantations was inconsistant nature and unstable characteristics as they did not exhibit any discrete trend with plantation age. Total biomass and organic carbon storage increased with increasing farm age. The overall mean total plant biomass, soil organic carbon, and ecosystem carbon storage in the farm forests were 87.94, 39.62 and 80.96 Mg ha− 1, respectively. Every subsequent increase of farm age by five years increased the ecosystem carbon stock by 33.22% and 4.09%, respectively while; the total increment was 38.67% from lowest to highest age class. The quantum of carbon storage in these farm forests was less than those reported for the native forests. Still, it can convert an unutilized agricultural landscape to a net carbon sink or even earn carbon credits. Moreover, the vegetation heterogeneity developed in these farm forests within a short span of 15 years can develop into semi-natural secondary forests with multiple social and ecological benefits in the long run. [ABSTRACT FROM AUTHOR]

A field investigation was conducted at Sugarcane Research Institute, RPCAU, Pusa, Bihar, India during 2020–2022 on sugarcane plant–ratoon system to investigate the effect of trash mulching treatments applied either alone or activated with urea (25 kg N ha−1)/farmyard manure (5 t ha−1)/vermicompost (2.5 t ha−1)/Trichoderma viride/Azotobacter + PSB inoculated trash and direct incorporation of trash in soil with no trash control. The dose of chemical fertilizer for plant and ratoon was applied as per recommendation in all the treatments. The results revealed that the CO2 evolution decreased continuously with the advancement of crop growth. The very labile (1.62–2.76 g kg−1), labile (1.09–2.17 g kg−1), less labile (1.55–2.21 g kg−1) and non-labile carbon (2.18–2.95 g kg−1) varied significantly after two crop cycles. The carbon fractions were in order of non-labile-C > very labile-C > less labile-C > labile-C. The mean soil TOC (6.26–9.79 g kg−1), organic carbon stock (14.70–20.76 Mg ha−1), SMBC (110.73–265.16 mg kg−1) and microbial quotient (1.77–2.71%) differed significantly due to trash mulching treatments after harvest of ratoon. The CPI (1.00–1.57) and CMI (138.36–238.30) varied significantly in trash-treated plots than no trash. The results revealed that mean cane yield of plant (65.96–83.31 t ha−1) and ratoon crop (54.20–71.99 t ha−1) differed significantly among the treatments. The mean sugar yield varied significantly in plant (7.22–9.97 t ha−1) and ratoon crop (5.78–8.58 t ha−1) due to various trash mulching treatments. The positive relationship was found among cane and sugar yield with TOC and CMI. Our findings suggest that trash mulching (10 t/ha) treatments either activated with urea/vermicompost/FYM or inoculated with Trichoderma viride significantly improved soil carbon pool parameters, fractions of carbon and carbon stock over the two crop cycles with improvement in the carbon indices, viz. carbon pool index and carbon management index. It brings significant enhancement in quality of soil and productivity of sugarcane plant–ratoon system in subtropics. [ABSTRACT FROM AUTHOR]

The climate change problem is caused by human-induced increases in the stock of greenhouse gases (GHGs) in the atmosphere. In Cambodia, forests provide many important ecosystem services to local people such as food production, natural medicine, water supply, and wind/storm protection. Additionally, Cambodian forests sequester a considerable amount of carbon, contributing to the mitigation of greenhouse gas-induced climate change on a global level. However, the amount of carbon stored in forests differs according to spatial and temporal factors such as forest type, size, age, stand structure, associated vegetation, and ecological zonation, among other things. The current research aimed to i) conduct forest inventory of upland forest area in the Koh Kong, Mondulkiri, Preah Viher, and Siem Reap provinces of Cambodia, and ii) assess carbon stock at the target sites across different provinces. The study applied the carbon stock assessment methodology as outlined in the National Forest Inventory and the Field Manual for the National Forestry Inventory of Cambodia issued by the Food and Agriculture Organization (FAO) in 2018, applied across different types of forest at several pilot project sites. In addition, the study conducted an assessment of carbon stock in soil and ground litter carbon pools. The research studied five carbon pools: aboveground biomass pool (AGB), belowground biomass pool (BGB), litter biomass pool, dead wood biomass pool, and soil organic carbon pool (SOC). The results indicated total carbon stock in Koh Kong Province at 200.04 tonnes C/ha for evergreen forest, in Mondulkiri Province at 246.18 tonnes C/ha for deciduous forest, in Preah Vihear Province at 185.06 tonnes C/ha for deciduous forest, and in Siem Reap Province at 207.67 tones C/ha for deciduous forest and 414.13 tones C/ha for evergreen forest [ABSTRACT FROM AUTHOR]

The impact of the construction and expansion of the highway system on the surrounding soil ecosystem was investigated based on field surveys and experimental analysis during the years 2016 and 2017. In the proposed study, soil available nutrients (N, P, K), heavy metal toxicity, and carbon stock were evaluated spatially by considering horizontal distances of 0–5 m, 5–10 m, and > 20 m and seasonally during pre-monsoon and post-monsoon months. The concentration of soil available N, P, K ranged from 278.22 to 297.64 kg ha−1, 34.93 to 46.73 kg ha−1, and 233.91 to 265.22 kg ha−1 and was observed to be low in the soils adjacent to road construction activities (0–5 m) as compared to control site (> 20 m), which significantly indicated that soils nearby roads were more degraded. Seasonal variation played a significant impact on soil chemical properties; especially, a higher concentration of available macronutrients was observed during the post-monsoon season. The highly disturbed soil at 0–5 m registered higher heavy metal concentrations (Cd, Cr, Pb, Zn, and Fe) as compared to the control site and followed the decreasing order: Fe > Zn > Pb > Cr > Cd. In addition, highway expansion activities decreased soil organic carbon by 30% in the roadside soils in comparison to the control site. A significant loss of soil carbon stock of 1058.82 Mg C ha−1 was observed, leading to a reduction in the carbon sequestration potential of the region. Moreover, the study notices that highway transportation and construction activities are of potential risk for degrading soil quality. [ABSTRACT FROM AUTHOR]

The necessity to identify ecosystems with high carbon sink capacity as an alternative mitigation approach to terrestrial carbon sequestration has increased due to hazards such as global warming from emissions of Green House Gases mainly due to anthropogenic activities. Tea is an intensively managed perennial cash crop planted beneath a canopy of shade trees. They provide a prospect for the reduction of climate change while providing economic incentives so much so that some states and the country are dependent on the plantations and the revenue generated out of the tea gardens. Tea and shade trees together can store a significant quantity of atmospheric CO2 in the plants and the soil. The area of the gardens and the shade trees that grow in them makes it very necessary to estimate the amount of carbon sequestered in tea agroforestry systems and define their role as carbon sinks countering the climatic changes and the mitigation of the same. [ABSTRACT FROM AUTHOR]

Floodplain restoration can enhance the capacity for carbon sequestration by facilitating higher water tables, deposition of fine sediment, and increased input and residence time of organic matter. We measured floodplain soil organic carbon stocks in nine stream restoration projects across the western United States and compared them to nearby degraded and reference condition floodplains. Degraded floodplains had the lowest soil mean carbon stocks in the majority of floodplains measured (range 161–894 Mg C/ha), and reference stocks had the highest stocks (range 391–904 Mg C/ha) of those with statistically significant differences between the three categories. Across all sites measured, stream restoration sites, referred to as treatment sites, had stocks (range 203–1028 Mg C/ha) similar to degraded condition floodplains but the largest range. When modeled under degraded conditions, four out of nine of the treatment sites had significantly higher OC stocks than predicted. Climate and geologic variables are most influential in predicting carbon stocks, and floodplains in the interior western USA have the highest carbon stocks. As the demand for carbon sequestration increases due to climate change, ecologically responsible floodplain restoration provides a significant opportunity for carbon storage. However, despite the statistically significant relationships we observed in this dataset, the variations within the data in relation to degraded/treatment/reference categories illustrate the uncertainties in quantifying the effects of restoration on floodplain carbon stocks. [ABSTRACT FROM AUTHOR]

Social Forestry (SF) in Indonesia has emerged as a keystone strategy for Sustainable Forest Management. By allocating 12.7 million ha of forest to be managed by local communities, the government has set in motion an ambitious plan for SF to reduce poverty, empower local people, and improve forest conditions. More recently, SF is framed for its opportunity to contribute to climate change mitigation and adaptation. This study focused on examining the contribution of SF to the Nationally Determined Contribution (NDC) goals in Yogyakarta and Lampung. By analyzing spatial data of SF areas and land cover changes using ArcView 10.8, the study assessed the carbon stock potential in SF areas. Carbon stock calculations were based on the 2022 National Forest Reference Level (FRL) for the periods before and after SF implementation. The finding of the study indicated that the carbon stock of SF areas in Yogyakarta and Lampung ranged from 9,214,381 to 9,923,420 ton CO2eq prior to SF, while the current carbon stock ranges from 8,703,489 to 9,393,706 ton CO2eq, representing a decrease (around 5.4%) rather than an increase. Overall, the changes in carbon stock were relatively small and localized, and the magnitude of the increase was insufficient to offset the overall decrease. To achieve the objectives of SF, such as meeting emission targets and achieving sustainable land use, it is crucial to carefully manage forest edges and fragmented forests, as they can contribute to carbon stock losses. Additionally, further studies and research are needed to improve the accuracy of carbon stock calculations, particularly for non-forest categories, which have higher uncertainty in the reference levels. [ABSTRACT FROM AUTHOR]

Forest carbon sinks play an important role in climate change mitigation and adaptation. The Chinese government has demonstrated its proactive approach to addressing climate change by setting development targets for low-carbon transformation and making solemn commitments to peak carbon emissions before 2030 and to achieve carbon neutrality by 2060. In this article, the Chinese Government's Work Reports and Five-Year Plans are used to construct an index named China's Climate Change Policy Attention ( C C P A ), which reflects the government's emphasis on climate change and forestry in China. This article aims to examine the impact of C C P A , the adjusted Climate Policy Uncertainty ( C P U ) index from the U.S., and the Economic Policy Uncertainty ( E P U ) index from China on the Chinese forest carbon stocks ( F C S ) comprehensively. On this basis, we are interested in clarifying the channels by which C C P A promotes the growth of forest carbon sequestration in China. Specifically, panel data from 30 provinces in China from 2000 to 2017 are used for empirical analysis, and the following results are obtained: (1) The baseline regression indicates that C C P A significantly promotes the growth of F C S , while C P U or E P U inhibits its growth. (2) The interactive regression shows that the effect of C C P A on the growth of F C S can mitigate the inhibiting impact of C P U or E P U . (3) Mediation analysis documents that C C P A promotes F C S growth by increasing the forest tending area, expanding the existing forest area, increasing renewable energy consumption, and improving green investment. (4) Heterogeneity analysis reveals a clear differentiation in the effect of C C P A on F C S under different situations. Finally, policy implications are proposed based on the results. This article is expected to provide a theoretical basis for the Chinese government to develop relevant policies from the perspective of promoting F C S growth. [ABSTRACT FROM AUTHOR]

The purpose of this article was to assess the participation of young soils of ash dump forest communities in carbon sequestration by soils of southern taiga forests, considering the physico-chemical properties of the ash substrate and forest litter (pH, TOC, TN, content of P and K mobile compounds, and exchangeable Ca and Mg ions). It was revealed that on three Middle Ural ash dumps (composed of fly ash from various brown coals) over 50–60 years, forest communities spontaneously formed according to the zonal type (with the dominance of Betula pendula Roth and Populus tremula L.) with poorly differentiated young soils—technosols. For the first time, as a result of using an integrated approach to assess the direction of forest ecosystem formation on fly ash dumps, a tendency to increase carbon stocks in technogenic soils that have not reached the level of zonal soils was revealed, as well as the dependence of C accumulation on some physico-chemical characteristics of ash was established. Carbon stocks in Technosols are on average equal to 44 t/ha but vary significantly. It was shown that there is a medium negative relationship between the content and stocks of organic carbon in soils formed on a technogenic substrate and the content of mobile phosphorus compounds in them (the correlation coefficient is −0.58 and −0.53, respectively). The average carbon stocks in the litter of technosols, which is the main source of organic carbon in forest soils, are 3.2 t/ha. It was revealed that the carbon stocks in the litter are most influenced by the content of exchangeable calcium cations and magnesium in it (the correlation coefficients are −0.68 and −0.69, respectively). Any correlation between the studied litter parameters and carbon accumulation in the soils of ash dumps was found. The study revealed that the carbon stocks in the technosols of ash dump forest communities are two times less than the carbon stocks in the zonal forest soils of the Middle Ural southern taiga. The stocks of this element in the litter of young soils are equal to 1/3 of the litter of zonal soils. The composition of the humus substance system formed in the soils of forest areas of ash dumps and zonal soils is similar. The results of this study can serve to fill gaps in the knowledge about carbon sequestration by soils and aim to draw attention to forest communities of technogenic ecosystems to consider the contribution of their components to carbon sequestration. [ABSTRACT FROM AUTHOR]

Mangrove forests play an important role in coastal areas from an ecological perspective, being able to store large amounts of carbon through sequestration and inhibiting climate change processes by absorbing CO2 in the atmosphere. In recent years, there have been changes in the land cover of converted and degraded mangrove forests which have resulted in the release of carbon and an imbalance in soil structure, which in turn cause a flux of CO2 into the atmosphere. This research was conducted at the Karang Gading and Langkat Timur Laut Wildlife Reserve (KGLTLWR) in North Sumatra, Indonesia. The study focused on six different land covers, namely natural forests, restoration, mixed agriculture, paddy fields, oil palm plantation, and ponds. This study aimed to measure the total carbon stock of mangrove forests that have been converted to other land covers and estimate the level of CO2 flux in the area. A total of three transects and six plots for each land cover were used in this study; for tree biomass, a non-destructive method was used by recording every DBH > 5 cm, and for soil carbon, drilling was carried out, which was divided into five depths in each plot. CO2 flux was measured using an Eosense Eosgp CO2 sensor with the static closed chamber method. The highest carbon stock was found at 308.09 Mg ha−1 in natural forest, while the lowest 3.22 Mg ha−1 was found in mixed agriculture. The highest soil carbon was found at 423.59 MgC ha−1 in natural forest, while the lowest 50.44 MgC ha−1 was found in mixed agriculture dry land. The highest average CO2 flux value of 1362.24 mgCO2 m2 h−1 was found in mangrove restoration and the lowest in ponds was 123.03 mgCO2 m2 h−1. Overall, the research results inform how much carbon stock is lost when converted to other land covers so that it can be used as a reference for policy makers to provide future management of mangrove forests and develop mitigation measurements to reduce carbon emissions. [ABSTRACT FROM AUTHOR]

Climate and land-use changes have been contributing to the increase in the occurrence of extreme wildfires, shifting fire regimes and driving desertification, particularly in Mediterranean-climate regions. However, few studies have researched the influence of land use/cover on fire regimes and carbon storage at the broad national scale. To address this gap, we used spatially explicit data from annual burned areas in mainland Portugal to build a typology of fire regimes based on the accumulated burned area and its temporal concentration (Gini Index) between 1984 and 2019. This typology was then combined with carbon stock data and different landscapes to explore relationships between landscape types and two important ecosystem services: wildfire reduction and carbon stock. Multivariate analyses were performed on these data and the results revealed a strong relationship between landscapes dominated by maritime pine and eucalypt plantations and highly hazardous fire regimes, which in turn hold the highest carbon stocks. Shrubland and mixed landscapes were associated with low carbon stocks and less hazardous fire regimes. Specialized agricultural landscapes, as well as mixed native forests and mixed agroforestry landscapes, were the least associated with wildfires. In the case of agricultural landscapes, however, this good wildfire performance is achieved at the cost of the poorest carbon stock, whereas native forests and agroforestry landscapes strike the best trade-off between carbon stock and fire regime. Our findings support how nature-based solutions promoting wildfire mitigation and carbon stock ecosystem services may prevent and revert land degradation harming Mediterranean regions. [ABSTRACT FROM AUTHOR]

Wood density plays an important role in the calculation of national carbon stock, specifically when employing production approach to observe the carbon stock change based on national production of harvested wood products. Density is used as one of the parameter for estimating the carbon stock and annual carbon change in the harvested wood products pools. In this study, the commodity data, sawn timber productions from year 1995 to 2020, were gathered from published annual statistics by Forestry Statistics Peninsular Malaysia. These data include all the commercial timbers in Peninsular Malaysia, which are grouped according to trade names. Efforts were made to correctly identify and compile the botanical name as well as density range and mean of each timber trade name according to published references. Basic density and total volume of sawn timber productions were used to calculate the weighted average wood density of Malaysian timber. The estimated volume-weighted average wood density (563 kg m-3) was comparable to the arithmetic mean (559 kg m-3) and published density value for tropical species (590 kg m-3) by Intergovernmental Panel on Climate Change 2006. [ABSTRACT FROM AUTHOR]

Protected Areas (PAs) are important spaces for the protection of biodiversity, capable of halting deforestation and collaborating in the intentions to reduce climate change. The objective of this work is to demonstrate the importance of Protected Areas in the state of Mato Grosso in the avoided deforestation and to estimate their contribution to the reduction of greenhouse gas emissions and soil erosion. The methodology was based on secondary data and the use of a GIS environment. As a result, it was found that in Mato Grosso there are 120 PAs between federal, state and municipal, they protect 6% of the territorial area of the state and most are located in the Amazon biome. Mato Grosso's Forest cover in 2019 was 49.8 million hectares, with an estimated forest carbon stock of over 16.4 GtCO2. The PAs were created over the years in the state, but the greatest number occurred between 2000 and 2005 and together, in 2019 they were responsible for preventing the deforestation of more than 726,000 hectares of forest, 10 million tons of erosion and storing 281 million tons of carbon, which if traded on the credit market would have an estimated value of more than US$1.25 million. If the PAs did not exist and if deforestation were to be carried out, the cost of replacing this area would be more than US$2.73 billion. Therefore, the importance of PAs in environmental conservation and in the economy related to forest cover is notorious. [ABSTRACT FROM AUTHOR]

Copyright of Revista de la Academia Colombiana de Ciencias Exactas, Físicas y Naturales is the property of Academia Colombiana de Ciencias Exactas, Fisicas y Naturales and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Wetlands provide important ecosystem services, such as water conservation, biodiversity protection, and carbon sequestration. The Zoige alpine wetland is the largest high-altitude swamp in the world and plays a critical role in regional ecological balance and climate change. However, little is known about the fate of its soil organic carbon (SOC) storage. In this study, we estimated the degradation status of the wetland over the past 35 years and used machine learning to investigate the dynamics and driving factors of SOC at different soil depths of the Zoige wetland in 1985, 2000, and 2020. We also simulated the future SOC balance under different scenarios. The results showed that the area of Zoige wetland has degraded by 378.71 km2 in the past 35 years. Increased precipitation and solar radiation offset the adverse effects of global warming, making the soil act as a carbon sink in the past 35 years. The total SOC storage of the wetland soils in 1985, 2000, and 2020 was estimated to be 2.03 Pg, 2.05 Pg, and 2.21 Pg, respectively, with 46.95% of SOC distributed in the subsoil layers. Climate change was the most important driving factor controlling the SOC storage of the Zoige wetland, explaining 51.33% of the SOC changes in the soil. Temperature change was always the most important factor controlling wetland SOC, and precipitation had a greater impact on the topsoil. Under the temperature control targets of 1.5 °C and 2 °C, the SOC pool of the Zoige wetland will decrease by 60.21 Tg C and 69.19 Tg C, respectively. Under scenarios of a 10% and 20% increase in precipitation, the wetland soil will accumulate an additional 46.53 Tg C and 118.89 Tg C, respectively. The study results provide important references for the sustainable management of the Zoige wetland under the background of global climate change. [ABSTRACT FROM AUTHOR]

Copyright of Mountain Research (10082786) is the property of Mountain Research Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Land use change has a significant impact on the carbon balance in urban ecosystems. Based on the law of land use change in Taiyuan City from 2000 to 2020, this study uses the CA-Markov model to predict the spatial pattern of land use in different scenarios in 2030, and uses the InVEST model to evaluate the carbon storage of Taiyuan City from 2000 to 2030. The results show that from 2000 to 2020, the construction land increased significantly, an increase of 339.265 km², and the area of forest land increased by 96.707 km²; the area of water, cultivated land, grassland and unused land decreased by 13.333 km², 275.037 km², 146.073 km² and 1.223 km², respectively. From 2000 to 2020, the carbon storage in Taiyuan has decreased by 2 312 591.65 t. Different from the natural development scenario, under the ecological protection scenario, the forest land will increase slightly in 2030 compared with 2020, and the construction land will be effectively limited and expanded, both of which facilitated the generation of ecological effects under the ecological protection scenario. In 2030, the carbon storage under the ecological protection scenario is 1 760 959.397 t more than that under the natural development scenario. From the perspective of land use changes, the increase in forest area is the main reason for the increase in carbon storage in the study area, and the carbon sequestration capacity is enhanced under the ecological protection scenario. This study will provide a scientific basis for land use structure adjustment and management in Taiyuan. [ABSTRACT FROM AUTHOR]

Forest management decisions affect carbon stock and rates of sequestration. One subject of debate is the rotation age that will optimize sequestration over extended periods. Some argue that shorter rotations facilitate greater sequestration rates due to the accelerated growth rates of younger trees compared to mature or old-growth trees. Others maintain that frequent harvesting will not allow forest carbon to rebound after each subsequent rotation, and thus more extended periods between clearcutting is the superior choice. These contrasting viewpoints are mirrored regarding the impact of thinning treatments, in that either thinning will enhance forest carbon uptake by facilitating improved and sustained r growth of residual trees or removing any above-ground biomass will outweigh the yields. This study aims to compare the different suites of management decisions and identify practical combinations of rotation ages and thinning applications that will optimize carbon sequestration while meeting other objectives over a 240-year projection timeframe. Stand development under different harvest rotations and thinning specifications was modeled using a Forest Vegetation Simulator (FVS). We found that site productivity was the primary determinant in stand-above-ground carbon dynamics under various management scenarios. Thus, the optimal rotation age/thinning treatment combinations differed between site classes. High productivity stands were estimated to sequester the most above-ground live carbon with 60-year rotations with a low-intensity thin at age 40. Moderately productive stands performed the best with 80-year rotations when two low-intensity thinning treatments were applied between harvests. For high and moderate productivity stands, estimates of gross carbon increased when two low or moderate-intensity thinning treatments were applied within 80- or 120-year rotations. High-intensity thinning treatments reduced total carbon sequestered over the 240-year projection timeframe for all productivity levels and rotation ages, except for low productivity stands under 120-year rotations. [ABSTRACT FROM AUTHOR]

The international community affirms the critical role of forests in climate change mitigation, which includes reducing emissions from degradation and deforestation, carbon stock conservation, sustainable forest management, and increasing carbon stocks in developing countries. It relates to land use and land cover changes. This study aims to review land use and land cover changes (LULC) in two decades, namely 2000–2010 and 2010–2020, and the impact on carbon stocks. Landsat satellite imagery in 2000, 2010, and 2020 are classified into six categories: built-up area, cropland, forest, water body, bareland, and grassland. This classification uses supervised classification. The accuracy kappa coefficient values obtained for the LULC 2000, LULC 2010, and LULC 2020 maps were 89.61%, 83.90%, and 87.10%, respectively. The most dominant systematic LULC change processes were forest degradation in 2000–2020; the transition of forest to cropland (349.20 ha), forest to bareland (171.19 ha), and forest to built-up area (661.68 ha). Loss of using the forest for other uses was followed by a decrease in carbon stock. There was a high decrease in carbon stock in the forest category (11,000 Mg C∙y–1). The results showed a significant change in land use and cover. The decline in the area occurred in the forest category, which decreased from year to year. Meanwhile, the built-up area increases every year. Carbon stocks also decrease from year to year, especially forests as the most significant carbon store, decreasing in the area.

Nepalese community forests are globally recognized for sustainable forest management and improving the livelihoods of forest-dependent communities, but their contribution to carbon sequestration in trees and soil is rarely studied. This study was performed to understand the effect of management practices on carbon stock of two community forests (CFs) -Taldanda (managed) and Dangdunge (unmanaged) -dominated by Sal (Shorea robusta) in the mid-hills of Nepal. Twenty-one concentric sample plots, each of 250 m2, were laid out in each forest to estimate different carbon pools and a stratified random sampling intensity of 0.5% used to collect data. Results showed significant (p

BACKGROUND AND OBJECTIVES: The lakeside has an enormous sediment carbon storage potential; however, it is susceptible to various environmental changes and can easily become a source of carbon emissions. Understanding the amount of carbon storage in lakeside sediments and organic matter sources may provide information about the potential of lakeside zones in climate change mitigation, particularly for sustainable lake management. This study aims to estimate sediment organic carbon stock and the sources of organic matter in the Maninjau Lakeside-West Sumatera, Indonesia.METHODS: Sediment sampling was performed at five research sites, with a depth of 0–100 centimeters. Sediment samples were divided into 4 subsamples: 0–15; 15–30; 30–50; and 50–100 centimeters. Bulk density and total nitrogen content were analyzed, and the percentage of organic carbon was calculated from the loss of ignition. The sediment organic carbon stock was calculated based on the bulk density and organic carbon content. Carbon per nitrogen ratio was also calculated to determine temporal changes in the sources of organic matter in the lake.FINDINGS: This study demonstrated that Maninjau Lakeside has an enormous potential sedimentary organic carbon stock range between 284.23–442.59 megagrams per carbon per hectare. The highest total sediment carbon stock was found in Duo Koto (442.59 megagrams per carbon per hectare), with the lowest in Koto Kaciak (284.23 megagrams per carbon per hectare). In addition, the study’s results also exhibited significant differences in sediment organic carbon stocks at each location with different land use and cover; in this case, the forest area has a higher carbon stock value than the agricultural and settlement areas. Therefore, it is essential to take initiatives for the restoration and conservation of lakeside areas because of their essential role in mitigating the climate change. The mean ratio of organic carbon and total nitrogen was between 9.96 to 16.91, indicating that phytoplankton, a mixture of floating macrophytes, and submerged vegetation were the sources of organic matter.CONCLUSION: In general, the value of sediment organic carbon stocks tends to be lower in locations with intensive agricultural settlements than in forest areas. This study emphasizes that restoring lakeside wetland is vital in increasing sediment organic carbon stocks and maintaining lake sustainability.

Carbon stocks provide information that is essential for analyzing the role of forests in global climate mitigation, yet they are highly vulnerable to wildfires in Mediterranean ecosystems. These carbon stocks’ exposure to fire is usually estimated from specific allometric equations relating tree height and diameter to the overall amount of aboveground carbon storage. Assessments of vulnerability to fire additionally allow for specific fire resistance (bark thickness, crown basal height) and post-fire recovery traits (cone mass for regeneration, and fine branches or leaves mass for flammability) to be accounted for. These traits are usually considered as static, and their temporal dynamic is rarely assessed, thus preventing a full assessment of carbon stocks’ vulnerability and subsequent cascading effects. This study aimed to measure the pools of carbon stocks of individual trees varying between 30 and 96 years old in the Djbel Mansour Aleppo pine (Pinus halepensis) forest in semi-arid central Tunisia in the southern range of its distribution to fit a sigmoid equation of the carbon pools and traits recovery according to age as a vulnerability framework. Allometric equations were then developed to establish the relationships between fire vulnerability traits and dendrometric independent variables (diameter at breast height, height, and live crown length) for further use in regional vulnerability assessments. The total carbon stocks in trees varied from 29.05 Mg C ha−1 to 92.47 Mg C ha−1. The soil organic carbon stock (SOC) at a maximum soil depth of 0–40 cm varied from 31.67 Mg C ha−1 to 115.67 Mg C ha−1 at a soil depth of 0–70 cm. We could identify an increasing resistance related to increasing bark thickness and basal crown height with age, and enhanced regeneration capacity after 25 years of age with increasing cone biomass, converging toward increasing vulnerability and potential cascading effects under shorter interval fires. These results should be considered for rigorous forest carbon sequestration assessment under increasing fire hazards due to climate and social changes in the region.

Roots play a fundamental role in forest ecosystems, but obtaining samples from deep layers remains a challenging process due to the methodological and financial efforts required. In our quest to understand the dynamics of Eucalyptus roots, we raise three fundamental questions. First, we inquire about the average extent of the roots of two contrasting Eucalyptus genotypes. Next, we explore the factors that directly influence the growth and depth of these roots, addressing elements such as soil type, climate, and water availability. Lastly, we investigate how the variation in Eucalyptus species may impact root growth patterns, biomass, and carbon stock. In this study, we observed that the maximum root depth increased by an average of 20% when genotypes were grown on sites with higher water availability (wet site). E. urophylla stands had a higher biomass and carbon stock (5.7 Mg C ha−1) of fine roots when cultivated on dry sites (annual rainfall~727 mm) than the wet sites (annual rainfall~1590 mm). In E. grandis × E. camaldulensis stands, no significant differences were observed in the stock of fine root biomass (3.2 Mg C ha−1) between the studied environments. Our results demonstrated that genotypes with greater drought tolerance (E. grandis × E. camaldulensis) tend to maintain higher stocks of fine root biomass (3.2–6.3 Mg ha−1) compared to those classified as plastic (E. urophylla), regardless of the edaphoclimatic conditions of the cultivation site. Finally, our research helps understand how Eucalyptus trees adapt to their environment, aiding sustainable forest management and climate change mitigation. We also provide a practical tool to estimate underground biomass, assisting forest managers and policymakers in ensuring long-term forest sustainability.

Lowland tropical rainforests provide an abundance of biodiversity as well as dynamic and stable ecosystems. These forests include tropical peat forests in various locations and forest types that have vegetation structure and composition characteristics, and carbon stocks that still need to be explored more deeply. Research on the structure and the composition of the vegetation and carbon stock in the old secondary peat forest was carried out in the protected areas of Bukit Batu, Riau Province, and Muara Merang, South Sumatra Province. Based on a 1-hectare permanent plot established in Bukit Batu and Muara Merang, 25 subplots of 20 m by 20 m were established in each location for measurement purposes. The results showed that Bukit Batu and Muara Merang had 42 and 36 species belonging to 26 and 20 families, respectively. Bukit Batu had a species diversity index (H’) of 2.93, and the dominant tree species were Palaquium xanthochymum with an importance value index (IVI) = 66.27%, Eugenia sp. (IVI = 32.76%), and Litsea sp. (IVI = 18.39%). The Muara Merang location had a species diversity index (H’) of 2.82, and the dominant tree species were Eugenia sp. (IVI = 60.88%), Alseodaphne insignis (IVI = 26.34%), and Adenanthera pavonina (IVI = 22.11%). In Bukit Batu, forest stands with a diameter of ≥10 cm contained a biomass of 178.10 tonnes/ha and carbon stock of 83.70 tonnes C/ha, which is equal to 307.20 tonnes CO2/ha. Meanwhile, in Muara Merang, it was 190.41 tonnes/ha and 89.49 tonnes C/ha, which is equal to 328.44 tonnes CO2/ha. This research, especially that in Bukit Batu, Riau Province, enriches the data and information available to date and is very useful in supporting restoration practices in Riau Province’s Giam Siak Kecil Biosphere Reserve, which was designated by UNESCO as part of the Man and Biosphere Program.

Spatialization of biomass and carbon stocks is essential for a good understanding of the forest stand and its characteristics, especially in degraded Mediterranean cork oak forests. Furthermore, the analysis of biomass and carbon stock changes and dynamics is essential for understanding the carbon cycle, in particular carbon emissions and stocks, in order to make projections, especially in the context of climate change. In this research, we use a multidimensional framework integrating forest survey data, LiDAR UAV data, and extracted vegetation indices from Landsat imagery (NDVI, ARVI, CIG, etc.) to model and spatialize cork oak biomass and carbon stocks on a large scale. For this purpose, we explore the use of univariate and multivariate regression modeling and examine several types of regression, namely, multiple linear regression, stepwise linear regression, random forest regression, simple linear regression, logarithmic regression, and quadratic and cubic regression. The results show that for multivariate regression, stepwise regression gives good results, with R2 equal to 80% and 65% and RMSE equal to 2.59 and 1.52 Mg/ha for biomass and carbon stock, respectively. Random forest regression, chosen as the ML algorithm, gives acceptable results, explaining 80% and 60% of the variation in biomass and carbon stock, respectively, and an RMSE of 2.74 and 1.72 Mg/ha for biomass and carbon stock, respectively. For the univariate regression, the simple linear regression is chosen because it gives satisfactory results, close to those of the quadratic and cubic regressions, but with a simpler equation. The vegetation index chosen is ARVI, which shows good performance indices, close to those of the NDVI and CIG. The assessment of biomass and carbon stock changes in the study area over 35 years (1985–2020) showed a slight increase of less than 10 Mg/ha and a decrease in biomass and carbon stock over a large area.

This study examines the impact of silvicultural and land-use management practices on carbon sequestration in peri-urban forest ecosystems, with a particular focus on human-induced carbon dynamics. The study area’s complex profile spans from a compact native forest to varying degrees of fragmentation. This included areas undergoing secondary succession forest without silvicultural interventions (No-SI) alongside sites subjected to high-intensity (High-SI) and low-intensity silvicultural interventions (Low-SI). The research assessed carbon stocks and sequestration in different carbon pools (living biomass, dead organic matter and soil) using field data, allometric equations and laboratory analysis. Findings reveal a significant correlation between the intensity of anthropogenic interventions and variations in carbon stocks. The CASMOFOR model facilitated the reconstruction of carbon stock and carbon-stock change dynamics over four decades (1980–2022), showing disparities in carbon storage capabilities linked to the structural characteristics of the sites. The Low-SI site had the highest carbon stock in all carbon pools (378 tonnes C ha−1), which is more than double compared to High-SI (161 tonnes C ha−1) or No-SI sites (134 tonnes C ha−1). However, the secondary succession forest (No-SI) demonstrated the highest annual carbon stock change (4.4 tonnes C ha−1 year−1), two times higher than the Low-SI mature stand (2.2 tonnes C ha−1 year−1), emphasising the resilience of forest ecosystems to recover and sustain carbon sequestration capacities after harvesting if forest land use remains unchanged. The study underscores the significant importance of anthropogenic interventions on carbon dynamics, especially for living tree biomass, which has consequences in enhancing carbon sequestration and contributing to emission reduction targets.