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The forests are major resources for carbon sequestration and help to mitigate the adverse effect of atmospheric carbon and reduce global warming. The present study was conducted to estimate the carbon sequestration potential of the Quercus floribunda forests at two different aspects and three altitudes. Ten quadrates of 10 × 10 m size were laid out in each forest for the estimation of stand density, tree biomass, and soil samples were collected from each quadrate. Q. floribunda was the dominating tree at studied altitudes and aspects with the IVI values of 161.14 and 124.96 in the southern aspect and northern aspects, respectively. the highest values of above-ground biomass density (AGBD), below-ground biomass density (BGBD), total biomass density (TBD), and total carbon density (TCD) was recorded at the upper elevation (2500–2700 m) of southern and northern aspects. In the southern aspect values of AGBD (476.67 < 575.67 Mg/ha), BGBD (124.8 < 148.9 Mg/ha), TBD (601.53 < 724 Mg/ha), TCD (300.83 < 362.03 Mg/ha) were higher than northern aspect. The values of AGBD, BGBD, TBD, and TCD were reported maximum (638 Mg/ha, 163.1 Mg/ha, 800.5 Mg/ha, and 400.35 Mg/ha; respectively) in the upper elevation. Soil organic carbon (SOC), soil organic matter (SOM), and soil organic carbon stock (SOCS) decreased with increasing altitudes and depths which were found higher in the southern aspect. Bulk density (BD) and P increased with altitudes and depth however bulk density was equal (1.29 g cc-1) in both aspects whereas P was also found higher (31.43 kg/ha) in the southern aspect. Highest available nitrogen (398 kg/ha) was recorded in the northern aspect at middle altitude. The available potassium was highest in the northern aspect. At lower altitudes, available potassium ranges between 246–615 kg/ha. Soil pH was found slightly acidic in all the sites ranging from 4.91 to 5.74 in different soil depths. Dehydrogenase activity was ranged between 1.35 and 8.74 µg/g/h from lower to upper soil depth and decreased with an increase in soil depths and increased with altitudes, whereas found highest in the southern aspect. The present study suggested that tree density, tree biomass, carbon sequestration potential, and soil health in Q. floribunda forests were substantially influenced by the altitude as well as the aspect. These findings contribute valuable insights for climate change mitigation and forest management strategies in the study region.

Forests, particularly church forests, play a crucial role in mitigating climate change by absorbing and storing CO2, preserving biodiversity, and acting as carbon sinks. This study aimed to estimate the biomass and carbon stocks of various woody species in church forests in the West Gojjam zone. Twenty-six church forests were selected based on agroecology, elevation, size, and proximity to population centers. Vegetation data were collected using a systematic sampling technique, with 20 m x 20 m (400 m2) plots established along transect lines oriented at 120° intervals at 60°, 180°, and 300° within each church forest. Measurements of diameter at breast height (DBH) and height were taken for all matured woody plants with a DBH ≥ 2.5 cm. Data analysis was performed using one-way ANOVA to evaluate the effects of altitude, forest size, and human disturbance on aboveground biomass (AGB) and carbon stocks. Additionally, linear regression was applied to investigate the relationship between vegetation structure (species richness, density, and diversity) and biomass accumulation. The results revealed a total of 111 woody species, dominated by indigenous species particularly from the Fabaceae family. The study church forests had Shannon diversity index and richness ranging from 1.73 to 3.47 and 7 to 45, respectively. The results showed that the 26 church forests had an average aboveground biomass (AGB) of 31.97 ± 3.31 tons ha-1 and a CO2 equivalence of 97.15 ± 10.47 tons ha-1. The AGB and aboveground carbon (AGC) values varied among the church forests, of which Debre Mihret Mesk Kidanemihret had the highest AGB with 99.00 tons ha-1 and 49.50 tons ha-1 AGC, indicating their substantial capacity for carbon storage. Conversely, Korch Silassie church forest displayed the lowest AGB, suggesting ecological challenges that necessitate targeted conservation efforts. These findings underscore the critical role of church forests as carbon sinks, capable of sequestering atmospheric CO2 and contributing to the mitigation of climate change. The findings of the present study suggest the integration of church forests into national and international climate policies, such as REDD+ to leverage their potential in reducing emissions from deforestation and forest degradation.

Peatlands store a large amount of carbon. However, peatlands are complex ecosystems, and acquiring reliable estimates of how much carbon is stored underneath the Earth’s surface is inherently challenging, even at small scales. Here, we aim to establish links between the above- and below-ground factors that control soil carbon status, identify the key environmental variables associated with carbon storage, as well as to explore the potential for using Unmanned Aerial Vehicle (UAV) remote sensing for spatial mapping of peatlands. We combine UAVs equipped with Red-Green-Blue (RGB), multispectral, thermal infrared, and light detection and ranging (LiDAR) sensors with ground-penetrating radar (GPR) technology and traditional field surveys to provide a comprehensive, 3-dimensional mapping of a peatland hillslope-floodplain landscape in the Belgian Hautes Fagnes. Our results indicate that both peat thickness and soil organic carbon (SOC) stock (top 1 m) are spatially heterogeneous and that the contributions from the surface topography to peat thickness and SOC stock varied from micro- to macro-scales. Peat thickness was more strongly controlled by macro-topography (R2 = 0.46) than SOC stock, which was more influenced by micro-topography (R2 = 0.21). Current vegetation had little predictive power for explaining their spatial variability. Additionally, the UAV data provided accurate estimates of both peat thickness and SOC stock, with RMSE and R2 values of 0.16 m and 0.85 for the peat thickness, and 59.25 t/ha and 0.85 for the SOC stock. However, similar performance can already be achieved by using only topographical data from the LiDAR sensor (for peat thickness) and a combination of peat thickness and topography (for SOC stock) as predictor variables. Our study bridges the gap between surface observations and the hidden carbon reservoir below. This not only allows us to improve our ability to assess the spatial distribution of SOC stocks, but also contributes to our understanding of the environmental factors associated with SOC storage in these highly heterogeneous landscapes, providing insights for environmental science and climate projections.

Rangelands are important for mitigating climate change and rehabilitating land by storing carbon from woody plants and seeds in the soil. However, there is a lack of empirical data on how traditional rangeland management practices (such as enclosure, communal grazing and prescribed fire) affect the carbon storage of woody species and the conservation potential of soil seed banks. This study evaluates the carbon sequestration and soil seed bank conservation potential of traditional rangeland management practices in the Western Guji zone, Ethiopia. A total of 32 sample plots were established using systematic random sampling, with 12 in each management practice, to measure woody biomass and estimate carbon stock using a nondestructive method. Additionally, 72 soil samples were collected for soil seed bank analysis, with 24 samples taken from each type of rangeland management practice. The study found that enclosures had the highest amount of carbon stocks 63.1 tons per hectare (t ha−1), with a corresponding carbon dioxide equivalent (CO2e) sequestration of 231.58 t ha-1, followed by communal grazing areas that stored 27.05 t ha−1 of carbon with a CO2e sequestration of 99.27 t ha−1. Prescribed fire had the lowest carbon stocks at 19.39 t ha−1, with a CO2e sequestration of 71.16 t ha−1. The study also found that different traditional rangeland management practices significantly influenced the diversity, richness, and density of woody species in soil seed banks. The highest Shannon diversity was recorded in enclosures (3.56 ± 0.09), followed by communal grazing (2.87 ± 0.14) and prescribed fire (1.27 ± 0.08). As a result, enclosure promotes the storage of carbon in woody plants and increases the diversity, density, and richness of woody species seeds in the soil, while prescribed fire reduces it. Therefore, it recommend for pastoralists to expand the use of enclosures as it improves the potential for conserving carbon stocks and soil seed banks of woody species.

Tropical forests play a significant role in climate change by sequestering atmospheric carbon dioxide. However, deforestation and forest degradation adversely affect these forests’ carbon stocks. Reports indicate that anthropogenic activities have led to forest degradation and deforestation in Boabeng Fiema Monkey Sanctuary (BFMS) and Kogyae Strict Nature Reserve (KSNR). This study assessed the effects of these activities on the carbon stocks of BFMS and KSNR. Using satellite imagery, field measurements and allometric models, carbon stocks of the study area were assessed from 1992 to 2023. The assessment revealed significant losses attributed to anthropogenic activities, such as hunting, farming and charcoal burning. BFMS experienced a total loss of 40,236 Mg C, while KSNR lost 272,109 Mg C. The closed forests had the highest carbon stock amongst the different vegetation types, with soil representing the most significant carbon pool in the protected areas, revealing the influence of vegetation structure on carbon sequestration and the need for soil conservation. The substantial carbon sequestration potential observed in the different vegetation types of the study area indicates that the Forest-Savannah Transition Zone is a prospective area for climate change mitigation aligning with the Sustainable Development Goals (Goals 13 and 15) and the National Climate Change Policy of Ghana. These findings provide valuable insights for carbon trading and biodiversity conservation, emphasizing the potential of nature-based solutions in addressing global climate challenges.

Push-pull technology is a companion cropping system whose success in soil fertility improvement and management of agricultural pests has been established in cereal-based systems. Push-pull has also been proposed as a template for the sustainable intensification of agriculture in Africa. However, the application of the technology has remained on a field scale and is restricted to cereal-based systems. Trees in agricultural landscapes are considered a strategy for climate change mitigation by storing carbon in soils and woody biomass. However, their potential has not been quantified in push-pull systems. This study characterized 45 smallholder farms in western Kenya to establish the land use categories within which push-pull is integrated, the diversity and structure of perennials on the farms, and the aboveground carbon stored within those farms. The area of each land use category varied depending on the size of the land use category on each farm. The amount of carbon stored in aboveground biomass was estimated using an existing allometric equation. This study found that trees are integrated on farms with push-pull in homesteads (45), cropland (38), woodlots (26), boundaries (4), and grazing land (2) farms. A total of 9159 trees from 97 different species were recorded over 34 ha. Farms in Vihiga and Kisumu had more trees (38 % and 37 % of all trees recorded) than those in Siaya (25 %). There were more trees in woodlots (total=4518) and homesteads (total=3327), and the least in grazing land (total=18). Overall, the highest species richness, Shannon, and Simpson diversity were observed in the homestead (86 species, H’=2.52 and D = 0.86). Farms in Kisumu, Vihiga, and Siaya stocked an average of 12.1, 9.4, and 7.3 Mg C ha−1 in aboveground biomass respectively. Variations were observed in land use categories, where woodlots had the greatest amount of carbon (55.5 Mg C ha−1) while grazing land had the least (2.4 Mg C ha−1). Eucalyptus spp., Grevillea robusta, and Markhamia lutea were the most dominant trees in abundance at 50 %, 16 %, and 11 % respectively. Conservation of trees on farms should be encouraged, as they protect biodiversity and store carbon thus contributing to climate change mitigation. This study's findings contribute to knowledge valuable to farmers and policymakers in making decisions on tree species and land use categories that have a high potential to sequester carbon in agroforestry systems.

The growing demand for land for slash-and-burn cultivation, driven by human population growth, has led to the creation of scattered cultivated fields and a mosaic of fallow areas in various stages of regeneration. While tropical forests have demonstrated the ability to rebound regarding tree species diversity and forest structure following disturbances, the extent of recovery in coastal vegetation in southern Africa remains uncertain and poorly understood. To address this knowledge gap, our study collected biophysical data from smallholder fields, fallow land, and forests to evaluate the structure and functioning of coastal vegetation in Gaza province, southern Mozambique. We established 90 sample plots of 0.1 ha each at different stages of plant succession using opportunistic sampling approach. Within these plots, we recorded the diameter at breast height, total height, and species name of all trees and shrubs. Litter and soil samples were collected in 1 m² quadrats embedded within the main plot. Our findings indicate a high capacity for regeneration following the disturbance caused by slash-and-burn cultivation. Species composition varied significantly across different stages of succession, with 52 species identified in forests (FL), 34 in old fallow (OF), 29 in middle fallow (MF), 28 in initial fallow (IF), and 15 in cropland (CL). Richness and diversity increased over time after the practice of slash-and-burn cultivation, with a noticeable enhancement from the initial fallow stage. We observed a gradual recovery of soil carbon stocks in young fallow areas, while litter biomass decreased throughout the recovery phase of the fallow lands. Our study highlights that areas abandoned after agriculture can regenerate in terms of structure, floristic composition, and tree carbon content.

Forests, covering approximately thirty percent of the Earth's total surface area, are the world's largest carbon sink and a crucial player in mitigating climate change through carbon sequestration. However, human activities, both developmental and anthropogenic, have resulted in forest degradation, resulting in biodiversity loss, and increased carbon dioxide concentrations in the temperate Himalayan region, where reliable estimates of above-ground biomass and its variation across the landscape are currently lacking. The present study aims to assess aboveground biomass and carbon stocks along altitudinal gradients and overstorey types in the temperate Himalayan region. Across all altitudinal gradients and dominant overstorey composition types, total, tree, shrub, herb, and bryophytes biomass and carbon stocks on average were 372.7, 369.1, 2.76, 0.77 and 0.10 Mg ha−1, and 177.1, 175.3, 1.31, 0.37 and 0.05 Mg ha−1, respectively. The biomass and carbon stock of total and individual vegetation components differed significantly along the altitudinal gradients and overstorey composition types. Total and tree aboveground biomass and carbon stocks showed a consistent gradual increase along altitudinal gradients, peaking at middle elevations and declining thereafter at higher altitudes. The result highlighted the variation in biomass and carbon stocks in the temperate Himalayan region is influenced by factors such as the presence of individuals in large-diameter classes, higher stem densities with increased basal area, and forest management practices along altitudinal gradients. The study also emphasized the role of dominant overstorey composition types in biomass and carbon stock distribution in the temperate Himalayan region. However, tree, shrub, herb, and bryophyte biomass production responded differently for dominant composition types. Shrub and herb biomass along with their carbon stocks appeared to be positively associated with higher resource availability under deciduous broadleaf overstorey types, while the trees and bryophytes biomass and carbon stocks were found to be higher under coniferous stands. Mixedwood stands, on the other hand, were found to be intermediate between the pure stands, but had higher biomass and carbon stocks at higher altitudes. Therefore management interventions should aim at maintaining a diverse range of overstorey composition types for promoting the ecosystem functions and services of temperate Himalayan forest ecosystems.

Resume: The population and economic growth in cities significantly contribute to greenhouse gas (GHG) emissions, making them potential protagonists in mitigating these emissions. However, there is a lack of research on carbon potential in these areas in the Brazilian northeastern interior. In this context, this study analyzed urban squares as elements for climate change mitigation and global warming, highlighting the importance of these spaces for local biodiversity and sustainability in cities, providing a basis for future research related to the theme in the region. Six squares were selected in three conurbated municipalities (Barbalha, Crato and Juazeiro do Norte, Ceará State) in the Brazilian semiarid zone, encompassing all individuals with a diameter at breast height (DBH) ≥ 5 cm. Carbon quantification occurred through direct means (analysis of leaf, fine branch, and stem samples) and indirect means, using DBH to calculate biomass and carbon. A total of 554 individuals from 39 species and 18 families were recorded, with Fabaceae, Arecaceae, and Bignoniaceae being prominent. The Shannon index (H') ranged from 0.85 to 2.45, the Simpson index (C’) from 0.35 to 0.88, and the Pielou evenness index (J') from 0.38 to 0.86. Mean carbon contents varied from 47.5 % to 57.2 % in different tree compartments, with Schinus terebinthifolia Raddi standing out for high organic matter values (96.2 %) and carbon content (55.9 %) in leaves. Praça da Sé (Crato) presented the highest concentrations of plant biomass and stored carbon and a significant amount of sequestered carbon (709.24). Over one year, an increase of 0.29 t/ha−1 in total biomass carbon and 1.04 t/ha−1 of sequestered CO2 was observed. The results highlight the fundamental importance of urban square flora, identifying them as crucial allies in carbon capture and storage and in reducing GHG emissions.

Maintaining forest biodiversity and carbon sequestration potential of forest resources enhances the provision capacity of forest ecosystem services. Experience from around the world and in Ethiopia has shown that shifting forest management from state-centred to community-centred arrangement can result in a better forest stock. Therefore, this study examined the status of woody species diversity, regeneration and total living biomass carbon stock of forests under participatory forest management (PFM) and the adjacent state managed non-participatory forest management (Non-PFM) in South eastern Ethiopia and implications to REDD+. Data were collected from 89 (44 PFM and 45 Non-PFM) nested circular plots from four PFM and three Non-PFM selected forest sites with transects laid systematically. Tree DBH and height were measured, the number of saplings, seedlings, mature trees were counted and species names were recorded. Woody species diversity was estimated using shannon, simpson, and evenness diversity indices. A total of 29 and 23 woody species were recorded in PFM and Non-PFM forests, respectively. Woody species diversity did not show significant difference between PFM and Non-PFM forests but it was relatively higher in PFM forest. The density per hectare of seedlings, sapling and mature trees were significantly greater in PFM forest than in Non-PFM forest. The mean aboveground biomass carbon stock of PFM forest (225.50±26.54) was significantly greater than that of the Non-PFM (156.24±15.72) forest. Hence, managing forests through participatory approaches contributes to the enhancement of sustainable management and climate change mitigation potentials through reducing emission from deforestation and forest degradation.

This study showed changing patterns in the plant species composition, diversity, and carbon storage potential of different forests along altitudinal gradients (i.e. 100 – 1900 m) in Eastern Himalayan India. Different tree, shrub and herb species were sampled along the altitudinal gradients ranging from tropical to temperate forests through Nested Plot design. In each forest, vegetation sampling was made by establishing a permanent plot of 250 m × 250 m as per ISRO-GBP/NCP-VCP protocol. Individuals of trees ≥10 cm girth at breast height (GBH), shrubs and herbs were recorded in 4, 8 and 16 subplots of 31.62 m × 31.62 m, 5 m × 5 m and 1 m × 1 m, respectively. Community attributes such as species richness, density, basal area, diversity indices and biomass and carbon storages were computed for each study site. A total of 5 forest communities (2 each from tropical and subtropical and one from temperate forest) were identified. The woody species diversity was highest in the subtropical forest followed by tropical and temperate forest. Altitude played an important role in the Eastern Himalayan Mountains in the establishment and distribution of forest community. Forest community composition changes with elevation, for instance, the dominant communities like Dipterocarpus retusus–Phoebe goalparensis–Schima wallichii (D-P-S), Gmelina arborea–Schima wallichii-Duabanga grandiflora (G-S-D), Schima wallichii–Duabanga grandiflora–Alstonia scholaris (S-D-A), Alstonia scholaris–Terminalia myriocarpa–Bischofia javanica (A-T-B) and Acer thomsonii–Rhodendron arboreum–Quercus lamellose (A-R-Q) were present at elevational ranges of 100–300 m, 300–700 m, 700–1100 m, 1100–1500 m and 1500–1900 m, respectively. The study showed that about 41–57% of the tree species exhibited good regeneration followed by 23–30% as fair, 6–16% as poor, and 6–21% species did not show regeneration along the altitudinal gradient. The total biomass carbon (Mg C ha−1) varied from 84.74 to 163.56 in tropical, 103.12 – 156.41 in subtropical and 133.05 in temperate forest. In conclusion, community composition, regeneration pattern and biomass carbon storage changes along altitude because of altered biophysical characteristics. However, despite variations in elevation, factors for forest disturbance at different altitudes significantly contributed to the community attributes and overall accumulation of biomass carbon. Hence, the traditional management practices carried out by local communities also play a crucial role in shaping the structure, composition, and carbon dynamics of forest ecosystems. Understanding the impacts of these practices is essential for promoting sustainable forest management by conserving forests and preserving carbon stocks for mitigating climate change in future. This study emphasizes the importance of long-term forest monitoring to promote biodiversity conservation and formulate conservation strategies that support sustainable forest management policies to which ensure continuous provision of ecosystem services in the region.

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.

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.

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.

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.

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.

Mangroves are the remarkably productive ecosystems of the world which losses its natural existence to a great portion and presently emphasis is given on its plantation for future conservation. Thus, present study focused on the development of biomass models for the Sonneratia caseolaris (L.) and Sonneratia apetala (Buch-Ham), and assessment of carbon stock for the plantation of central coastal areas of Bangladesh. Semi-destructive approach was applied for estimating the biomass of trees. The best-fit TAGB models for S. apetala and S. caseolaris plantations were Ln (TAGB) = -1.89 + 2.10 * Ln(D) + 0.23*Ln(H), and Ln (TAGB) = -3.09 + 2.31*Ln(D) + 0.35*Ln(H), respectively. Carbon stocks in TAGB and below-ground were estimated for a young mangrove plantation (40 years) with Sonneratia apetala separately. The mean ecosystem carbon stock (above- and below-ground) of young and mature were estimated to be 350.53 ± 14.23 t C/ha and 483.64 ± 16.35 t C/ha, respectively which varied significant (p

We investigated the impact of land use types and topographical variables on the diversity of wood species and their carbon stocks in the studied agroecosystems. A generic allometric equation developed for woody plants in agricultural landscapes was used to estimate the carbon stock. We used a mixed-effects linear model using the lmer function in the lme4 package to test the effects of land use types and topographic variables on wood species diversity (Shannon diversity) and stem carbon stock potential. Our study result showed that there is significantly higher woody diversity (P < 0.05) in forests, home gardens and riverine than in grazing lands and croplands. Conversely, woody DBH (cm) and height (m) are relatively higher for croplands followed by grazing land, but lower for home garden and forest land use. There is a statistically significant difference between land use types in their carbon stock (χ² (4) = 18.164, p=0.0011), with forest having the highest total carbon stock, followed by home gardens, but grazing land having the relatively lower total carbon stock of woody species. The study finds that species diversity has a positive and significant (P0.05) effect on aboveground and belowground carbon stock. The tree species' structural attributes such as height, DBH size, and basal area (BA) have a positive and statistically significant (P < 0.05) effect on carbon stock. The study also found that only a few high DBH class (old growth) tree individuals that are deliberately spared in cropland and grazing land matrix have a high carbon stock contribution. For example, seven species, Podocarpus falcatus, Ficus vasta, Prunus africana, Schefflera abyssinica, Ficus sur, Ekebergia capensis, and Apodytes dimidiate, contribute an estimated 70% of the estimated total carbon stock in the landscapes. These results indicate the need to protect such scattered old-trees in agricultural landscapes both for biodiversity conservation and carbon sequestration thereby integrating climate change adaptation and mitigation strategies into subsistence farming systems.

Over the last two decades, bamboo has received increasing attention owing to its socio-economic and environmental importance. Environmentally, bamboo plays an important role in carbon sequestration, thus enhancing climate change mitigation. In Cameroon, knowledge about the importance of Bambusa vulgaris Schrad. ex J.C.Wendl. to climate change mitigation is deficient, despite the fact that it is the most abundant bamboo species in Cameroon's Bimodal rainforest agroecological zone (Agroecological zone 5 - AEZ5). This study was initiated to develop allometric equations and estimate carbon stocks of B. vulgaris in Cameroon's AEZ5. The destructive, clump-based method was used for bamboo biomass data collection on 40 clumps and 86 culms. Regression analyses were performed to obtain allometric models for B. vulgaris biomass prediction which were used for B. vulgaris carbon stocks estimation in AEZ5. The best allometric model for culms was obtained when all predictive variables including age, diameter and height were considered into the model. For clump, the best model was obtained when the number of culms per clump, girth and average diameter were considered in the model. Model quality adjustment was better for clump aboveground biomass (AGB) compared to those of culm AGB. The model of B. vulgaris of the evergreen rainfall forest was validated with a bias of 45.5 %. Bamboo aboveground biomass proportions were 77 %, 15 % and 8 %, respectively for culms, branches and leaves. The mean density and carbon stocks of B. vulgaris were estimated at 2,0679 culms.ha−1, 257 clumps.ha−1, and 61.65 tC ha−1. B. vulgaris has a veritable carbon sequestration capacity which policymakers should consider in climate change mitigation strategies like those linked to payments for ecosystem services, voluntary carbon stocks market, Bonn Challenge, AFR100 initiative, and the Paris agreement ratified by the government of Cameroon.

Urban trees and forests play a vital role in maintaining the balance of urban ecosystems and mitigating global warming. However, due to the lack of data and information on the potential of urban forests, their importance remains largely unknown. This study aims to describe citizens' perceptions of trees and assess the forest community's density, diversity, and carbon stock in the residential area of Bobo-Dioulasso, the second-largest city in Burkina Faso.To carry out the study, tree inventories, and interviews were conducted on 240 selected dwellinghouses using a two-stage stratified sampling approach. The sample was allocated proportionally to three strata based on their population size: the center town (20 %), pericenter (20 %), and periphery (60 %). Trees were found in 86 % ± 0.5 % of dwellings, with an average of four trees per dwellinghouse (4 ± 1). About 63 % of households reported planting trees in their homes, including along roadsides. The main motivations for planting trees were for fruits, shading, and ornamental purposes. However, factors such as discomfort, property ownership, and management costs discouraged some residents from planting more trees.A total of 934 trees belonging to 69 species and 30 botanic families were counted in the study sample. The most abundant species families were Anacardiaceae, Moraceae, and Moringaceae. Mangifera indica (41 %), Ficus polita (12 %), and Moringa oleifera (8 %) had the highest relative densities of all species found in dwellings.Using existing allometric equations, the study estimated that the residential area trees stored about 210,000 tons of carbon dioxide equivalent. Based on these findings, it is recommended that city governments implement an action plan to promote urban forestry to strengthen and protect urban forest cover.

Under the background of global climate change, the role of carbon storage in mitigating the increase of atmospheric CO2 concentrations is of paramount importance. However, land use and land cover change (LULC) resulting from urban sprawl disturbs the level and distribution of carbon storage. This study aims to explore the spatiotemporal variability of carbon storage and the correlations between that and urban development for China’s 369 cities in 2000, 2010, and 2020. The InVEST model and several multiple linear regression models are employed and the results show that: (1) Cities in western China sequester a large amount of carbon (maximum greater than 2000 TgC) and only some of them, from 2010 to 2020, can maintain a positive change in carbon storage. The rest of China shows a negative change, but a higher carbon storage per area (maximum greater than 0.01 TgC/km2 in the east). Moran's I shows that such variability has a significant spatial autocorrelation. (2) The intensification of the population, the growth of economy, and urbanization are the main factors influencing carbon storage, which are not only reflected on the national scale but also have different local characteristics in different regions. Cities in China's inland regions (e.g., western, some central, and northeastern China), most of which are developing cities, show more diversified impacts of their urban development on carbon storage. However, in developed cities, mostly concentrated in the eastern region, such impacts and variations show a more unified trend. Considering that environmental policy is often a national action, therefore, to strengthen the carbon sequestration capacity of cities, it is necessary to formulate not only a unified leading policy from the national level but also the practical policies of local governments of cities that match their development stages.

This study was conducted at Mount Rungwe Forest Reserve, Mbeya, Tanzania, East Africa to investigate the influence of elevation gradients and vegetation composition on soil organic carbon. Elevation gradients were established through three elevation grids, the higher, mid and lower elevation. We hypothesized that soil organic carbon would be richer in high plant diversity than in low plant diversity gradients. Findings from this study observed that, low elevation had high moisture content (47.72 ± 1.49) and % soil organic carbon (4.02 ± 0.56) with low bulk density (1.03 ± 0.001) and soil pH (5.96 ± 0.06). However, only moisture content, bulk density, organic matter and sand content were statistically different across elevation gradients. It was also observed the proportional decreases in diversity as elevation increases with both Shannon and Simpson index of diversity indicating higher species diversity at lower elevations (3.62 and 0.03 respectively). Results from two multiple linear regression models indicated that moisture contents, plant abundance and species diversity explained the most variation in soil organic matter across an elevation gradient with R2 = 0.4063, F (3, 38) = 8.67, p = 0.0002 and R2 = 0.3510, F (2, 39) = 10.55, p

Karst ecosystems serve as a vital part of the Earth’s ecosystem and have a substantial influence on the worldwide carbon cycle. Revealing the features and driving factors of the spatiotemporal evolution of Carbon (C) stock in karst watersheds is critical for the in-depth exploration of the regional carbon cycle and carbon sources/sinks, as well as in regional ecological restoration. In this study, the Nanming River Basin, a representative karst basin in southwest China, was used as the subject region. Based upon data on land use change from 2000 to 2020, an Integrated Valuation of Ecosystem Services & Tradeoffs (InVEST) model was applied to calculate the C stock from 2000 to 2020 and identify the driving factors of the regional change of C stock using an optimal parameters-based geographical detector (OPGD) model. The findings indicate that: (1) the cumulative reduction of C stock in the basin from 2000 to 2020 was 3.16 × 105 t; the center of gravity of C stock increase has shifted to the southwest by 2434.16 m, and the center of gravity of the reduction has shifted to the southwest by 7260.53 m. (2) The transition of forest land into construction land had the highest contribution to the decrease of C stock (60.91%); the transition of cultivated land and grassland into forest land was conducive to a rise in the C stock, and these conversions contributed 45.93% and 35.00%, respectively, to the increase of C stock. (3) The normalized difference vegetation index (NDVI), population density, intensity of human activity, slope, and lithology all have annual average q-values greater than 10%, meaning they are the primary factors driving the spatial differentiation of C stock. The contribution of the NDVI ∩ slope direction to the regional heterogeneity of C stock was the largest among the interactive driving factors, with an explanatory power close to 30%. The interactive combinations of drivers all showed nonlinear enhancement or two-factor enhancement effects. To some extent, this study deepens the study of changes in C stock and related driving mechanisms in karst areas, intending to provide a scientific foundation for the recovery of fragile ecosystems and to support a regional low-carbon economy.

The “Production-Living-Ecological Space” (PLES) is a paramount indicator in the filed of territory space development and optimization in China, under the new era. Exploring the driving factors of the PLES'land expansion is of great significance for improving space utilization, mitigating severe climate changes, and promoting green, healthy and sustainable development. In the background of the “Carbon Emissions Peak and Carbon Neutrality” strategy, analyzing and predicting the carbon stock of PLES is effective to boosting the achievement of ‘Dual-Carbon’ vision. Based on the above research questions， this study constructs the PLES based on statistics about land use (Year 1990, 2000, 2010 and 2020) in three northeastern provinces, and reveals the spatial correlation of PLES’ carbon stock in the research area through ArcGIS spatial analysis and InVEST model. Then, the PLUS model was used to clarify the contribution of each driver to the conversion of space land, and to predict the distribution of the PLES pattern and the carbon stock's spatial correlation in 2030 and 2060 under the Natural-Development Scene and Ecological-Protection-Development Scene. Results show that: (1) The PLES in the three northeastern provinces of China is primarily green ecological space (55.71%) and agricultural production space (38.10%), while industrial production space (3.60%) and urban living space (2.76%) expand significantly, and green ecological space (−0.17%) and blue ecological space (−0.89%) are on a recession trend. Besides, 2000–2010 is the most intense period of all kinds of space land transformation in the study area. (2) Population density, proximity to roads at all levels, annual average temperature and elevation are the prime drivers of PLES’ profile within the scope of the study region, but the contribution rate is significant difference. (3) The urban living space decreases and the green and blue ecological space increases significantly in the predicted years under the scene of Natural-Development and Ecological-Protection development; the pattern of PLES is relatively stable in the predicted years under both scenarios. (4) The spatial correlation of carbon stock is closely related to the distribution of PLES, with the high-value significant regions primarily in the distribution region of green ecological space, otherwise, the low-value significant regions mostly concentrated in the region with complex spatial land use types and large spatial development intensity; the overall structure within the scope of the study region shows a layout of high value areas surrounding low value areas. It can show that insisting on the ecological civilization construction is an effective way to achieve sustainable development and practice the “double carbon” strategy; in the future spatial land use control, ecological protection measures should still be adopted to ensure the sustainable development and positive operation of the study area.

Urban expansion, especially the construction of megacities, increases carbon emissions and adversely affects the carbon storage of terrestrial ecosystems. However, scientific land-use management policies can increase carbon storage. This study takes two megacities at different stages of development, Beijing and Tianjin, as examples to explore the impact of different ecological conservation scenarios on both urban land use and carbon storage to provide recommendations for the construction planning of large cities with low-carbon development as the goal. Furthermore, we coupled the patch-generating land use simulation (PLUS) model with the integrated valuation of ecosystem services and tradeoffs (InVEST) model to simulate land use and carbon storage under a natural development scenario, a planned ecological protection scenario (PEPS), and a policy-based ecological restoration scenario (PERS). From 2000 to 2020, both cities had different degrees of construction land expansion and carbon loss, and Tianjin's dynamic degree of construction land was 0.94% higher than Beijing's, with a carbon loss 183,536.19 Mg higher than Beijing's; this trend of reducing carbon reserves will continue under the natural development scenario (NDS). Under the PEPS and PERS, the carbon stock of both cities increases, and the impact on Tianjin is greater, with an increase of 4.51% and 8.04%, respectively. Under PERS, the carbon stock increases the most, but the dynamic degree of construction land use is negative for both cities. Beijing's carbon stock is 0.40% lower than Tianjin's, which deviates slightly from the trend of urban economic development. Megacities in the rapid development stage can refer to Tianjin, strictly following the ecological protection land planning scope and vigorously implementing ecological restoration policies to effectively increase regional carbon stock. Megacities in the mature stage of development can refer to Beijing, and flexibly implement ecological restoration policies to increase regional carbon stock without affecting the city's economic development.

The world is increasingly facing the conflicting pressures of economic growth and environmental protection, and forests have the capacity to sequester carbon from the atmosphere in large amounts. This study evaluated the biomass, carbon content and microbial activities of a naturally growing Bambusa vulgaris stand at the Forestry Research Institute of Nigeria (FRIN), Ibadan, Oyo state. Three clumps were randomly selected for the study and analyzed to obtain the biomass, carbon content and microbial population. After harvesting, the culm samples were divided into leaf, branch and culm components and their respective fresh weights were taken. All the sub-samples were then oven-dried at 65 °C for 48 h and to get the oven-dried weight, a ratio of oven-dry to fresh weight was calculated. The total stand biomass for B. vulgaris was then determined and computed on a per hectare basis, while the microbiota were determined using standard methods. The B. vulgaris stand stored in total 59.37 t/ha carbon of which 30.55 t/ha were stored in the above-ground biomass (culms, branches and leaves), 1.53 t/ha in the below ground biomass and 24.29 t/ha in the soils. The total biomass stored by the stand was 59.42 t/ha, of which 56.59 t/ha was stored above ground and 2.83 t/ha in the below-ground biomass. Total biomass carbon content in B. vulgaris was 32.08 t/ha. The aboveground carbon storage was much higher in culms (16.69 t/ha) than in branches (8.52 t/ha), leaves (5.32 t/ha), in litter fall (0.02 t/ha) or rhizomes (1.53 t/ha). The total soil carbon content was 24.29 t/ha, of which 8.48 t/ha occurred at 0–15 cm depth, 8.19 t/ha at 15–30 cm, and 7.62 t/ha at 30–45 cm depth. A regression model was developed for future predictions of carbon content of B. vulgaris. About 16 microorganisms were identified in the study (10 bacteria and 6 fungi species) with populations ranging with soil depth. The amount of carbon sequestered and the short time needed for bamboo to grow makes it a good carbon sink, thereby helping to mitigate climate change issues.

Rebuilding soil organic matter (SOM) to regionally specific targets for high quality soil that are likely maintained in the long term, here defined as “SOM JumpStart”, can unlock soil's potential for increased productivity, enhanced resilience and reduced emission as the main components for climate-smart agriculture (CSA). A field experiment was established in 2013 at Fulton County, western Illinois to use highly stabilized organic amendment (HSOA) at a rate, potentially raising surface SOM of cultivated Alfisol (low quality soil) to the level of cultivated Mollisol (high quality soil for US Midwest). Treatments included one-time application of lagoon-aged air-dried biosolids at 165 Mg ha−1, one-time application of vegetative compost at 165 Mg ha−1, chemical fertilizer at 225–50–85 kg ha−1 yr−1 (N-P-K) as control, and grass fallow as reference. In every year following the HSOA application, fertilizer (N and K) rate was reduced by 25%, and no P was applied for most years. Corn was planted annually. The HSOA JumpStart application dramatically increased SOM, leading to soil organic carbon (SOC) at 2–2.5% after biosolids and about 3% after compost for 2013–2019, as that of Mollisol, while that in chemical fertilizer control remained unchanged at 1–1.2%. For the first seven years, HSOA JumpStart increased corn grain yield by a mean of 19.8% (biosolids) and 7.1% (compost) above the control, with greater increase at precipitations-abnormal (low/high) years. The SOM JumpStart caused the shift of soil microbial physiology to high C utilization efficiency, as evident by reduced microbial metabolic quotient for CO2, leading to the decrease in CO2 emission from agricultural crop residues by 19.6% (biosolids) and 20.0% (compost). Our modeling revealed the promising soil C sequestration (excluding residual C from HSOA) over next 50 years at 10.6 Mg C ha−1 by biosolids application and 13.9 Mg C ha−1 by compost application, higher than 6.8 Mg C ha−1 anticipated by “4 per 1000″ international initiative. A simple but straightforward model suggests JumpStarted soil still contain 50% higher SOC stocks as compared to control after 50 years. Our results suggest the SOM JumpStart by HSOA such as biosolids and compost can transform conventional corn production to CSA.

Agricultural lands occupy 38% of global land surface and are expected to grow significantly in the next years, increasing the need for more sustainable practices, as well as better informed conservation practices of natural ecosystems. Carbon stocks are important estimates for the assessment of potential emissions caused by deforestation, and therefore widely used in strategies to mitigate climate change in agroforestry systems. Although research on biomass and carbon accumulation in agricultural lands is well documented, comparisons with adjacent natural forest areas are uncommon, mainly in tropical regions. Here, we used forest inventory data and allometric models to estimate biomass and carbon stocks of natural vegetation types (gallery forest-GF, morichal-MOR, and savanna-SAV) and oil palm (Elaeis guineensis) crops in the Orinoquía bioregion, in Eastern Colombia. We found that natural forests (GF and MOR) hold 542.45 Mg ha−1 of aboveground biomass, whereas oil palm plantations store 284.87 Mg ha−1. Morichal vegetation, commonly known as peat swamp forests, accumulated the highest aboveground biomass and carbon per hectare among all vegetation types (natural and agricultural), with an estimate of 402.76 Mg ha−1. Thus, although oil palm crops are great reservoirs of biomass and carbon at the landscape level, it is the combination of natural and agricultural lands which assure highest carbon sequestration in the study area. These results highlight the importance of preserving natural areas in agricultural landscapes for climate mitigation and conservation of biodiversity, which may jointly benefit plantations sustainable development.

South Asia is a global hotspot for climate change with enormous pressure on land and water resources for feeding the burgeoning population. The agricultural production systems are highly vulnerable in the region and is primarily dominated by small and marginal farmers with intensive farming practices that had favored the loss of carbon (C) from soil. This review discusses the potential of soil and crop management practices such as minimum/reduced/no-tillage, use of organic manure, balanced and integrated plant nutrient application, precision land levelling, precision water and pest management, residue management, and cropping system optimization to maintain the C-equilibrium between soil and atmosphere and to enhance the C-sequestration in the long run. Results of meta-analysis show a potential 36% increase in soil organic C stock in the top 0–15 cm layer in this region which amounts to ∼18 Mg C stocks ha−1. Improved management practices across crops and environment may reduce methane em0ission by 12% resulting in an 8% reduction in global warming potential (GWP), while non-submerged condition led to a 51% GWP reduction in rice. Conservation agriculture and precision fertilization also reduced GWP by 11 and 14%, respectively. Although several innovative climate resilient technologies having significant potential for C-sequestration have been developed, there is an urgent need for their scaling and accelerated adoption to increase soil C-sequestration. Policies and programs need to be devised for incentivizing farmers to adopt more C-neutral or C-positive agricultural practices. The national governments and other agencies should work towards C farming together with global initiatives such as the “4 per 1000” Initiative and Global Soil Partnership, and regional public-private partnership initiatives on carbon credits for Regenerative Agriculture such as by Grow Indigo-CIMMYT-ICAR in India, in addition to research and policy changes. This will be vital for the success of soil C sequestration towards climate action in South Asia.

Soil organic carbon (SOC) and nitrogen (N) are two of the most important indicators for agricultural productivity. The primary objective of this study was to investigate the changes in SOC and N in the deep soil profile (up to 100 cm) and their relationships with crop productivity under the influence of long-term (since 1990) fertilization in the wheat-maize cropping system. Treatments included CK (control), NP (inorganic N and phosphorus (P) fertilizers), NPK (inorganic N, P and potassium fertilizers), NPKM (NPK plus manure), and M (manure). Crop yield and the properties of topsoil were measured yearly from 2001 to 2009. C and N contents were measured at five different depths in 2001 and 2009. The results showed that wheat and maize yields decreased between 2001 and 2009 under the inorganic fertilizer (NP and NPK) treatments. The average yield between 2001 and 2009 under the NP, NPK, NPKM, and M treatments (compared with the CK treatment) increased by 38, 115, 383, and 381%, respectively, for wheat and 348, 891, 2 738, and 1 845%, respectively, for maize. Different long-term fertilization treatments significantly changed coarse free particulate (cfPOC), fine free particulate (ffPOC), intramicroaggregate particulate (iPOC), and mineral-associated (mSOC) organic carbon fractions. In the experimental years of 2001 and 2009, soil fractions occurred in the following order for all treatments: mSOC>cfPOC>iPOC>ffPOC. All fractions were higher under the manure application treatments than under the inorganic fertilization treatments. Compared to the inorganic fertilization treatments, manure input enhanced the stocks of SOC and total N in the surface layer (0–20 cm) but decreased SOC and N in the deep soil layer (80–100 cm). This reveals the efficiency of manure in increasing yield productivity and decreasing risk of vertical loss of nutrients, especially N, compared to inorganic fertilization treatments. The findings provide opportunities for understanding deep soil C and N dynamics, which could help mitigate climate change impact on agricultural production and maintain soil health.

Terrestrial ecosystems such as forest landscapes provide critical ecosystem services such as carbon sequestration, fundamental to people, society and the global climate change discourse. Just like moist forest, dry Afromontane forests too present a high carbon sequestration potential. However, Uganda has since not undertaken carbon stock inventories for these conservation areas, especially with dry Afromontane forests like Agoro-agu central forest reserve (CFR). So, their potential to capture and store carbon is yet to be understood in Uganda. This study was carried out to estimate carbon stock of Agoro-agu CFR, for its potential in climate change mitigation. A stratified sampling design was used, where 65 sample plots were established. Nested, fixed area circular sample plots with sub-plots of varying radii for tree height, diameter measurements and soil sampling, were used. The mean total carbon stock of Agoro-agu CFR was estimated at 606.7 Mg C ha−1, for which 409, 72, 124 and 0.24 Mg C ha−1 was stored as above ground carbon, below ground carbon, soil organic carbon and carbon in litter herbs and grass respectively. The study illustrates the carbon sequestration potential of the forest reserve for any results-based payment projects for climate change mitigation. This is mainly due to the interventions through collaborative forest management arrangements and the pro-poor reducing emissions from Deforestation and forest Degradation (REDD+) pilot project in the landscape. This however, calls for more multi-stakeholders’ collaboration from direct resource users to national level to enhance forest conservation and reduce forest degradation for sustainable resource benefits and other ecosystem services.

As a key parameter for C pool and flux assessments, vegetation carbon (C) content can be used in ecological models to predict climate-induced changes in the C sequestration capacity of vegetation. However, the differences in methods for upscaling C content from the organ to the community scale and their impact on regional C stock estimates have been ignored. Based on a comprehensive community structure survey of 72 typical natural ecosystems in China and 27,905 measured samples of plant organs (leaves, twigs, trunks, and roots), we first quantified the differences among scaling-up methods for vegetation C content. These methods included the community or dominant species-weighted mean, geometric mean, arithmetic mean, and traditional empirical coefficients (45 % and 50 %), and their impact on C storage estimation at the regional scale. Comparing the accuracy, variability, and response patterns of the different scaling-up methods, the dominant C species biomass-weighted mean (C DWM ) method had the highest similarity to the community-weighted C mean (C CWM ) method. Concerning vegetation C storage estimation in China's natural terrestrial ecosystems, the relative errors of the other methods ranged from -2.6 % to 8.22 % compared with that of the C CWM method (18.39 Pg C). The empirical coefficients had the highest uncertainty, with a 45 % empirical coefficient underestimating the vegetation C stock by 2.60 %, and a 50 % empirical coefficient overestimating it by 8.22 %. The C DWM method proposed here has high reliability for C storage estimation (overestimated by only 0.44 %), making it a preferable sampling and scaling-up method for regional C content and stock assessment. Additionally, our study provided the C content of plant organs for China's provinces and typical vegetation types based on the C CWM , which could be used for regional C stock assessment and C cycle models., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Globally, with the growing importance of mangroves for providing ecosystem services and mitigating climate change, it is still uncertain whether planted mangroves can be the counterpart of natural mangroves, and thus the role of planted mangroves is still less understood. Therefore, this study aimed to assess the stand structure and carbon storage of a young mangrove plantation in Satkhira District, Bangladesh and to compare it with the natural mangrove forest (i.e., Sundarbans) to understand the potential of this young mangrove plantation as a nature-based solution to climate change. In addition, to better understand the spatial dynamics of afforested mangrove forests, we investigated and compared both above and below-ground carbon stocks between the landward and riverward sites. We collected both above (height and diameter at breast height, DBH) and belowground (i.e., coarse and fine root) data from 16 plots with a total area of 1600 m2 in two paired transects, eight plots each in landward and riverward sites. Aboveground carbon stocks were estimated using the species-specific allometric models from the biophysical tree parameters (i.e., height and DBH). Besides, belowground root (≥ 20 mm) carbon was measured by direct weighting after collecting soil samples through coring. Stand structural attributes (i.e., density, basal area, and DBH) showed a significant difference between the two sites, whereas Sonneratia apetala was found as the dominant species (IV = 188.7∼207.1) in both forest sites. The mean carbon stock of this plantation was 49.1 Mg C ha−1, while the mean aboveground carbon (AGC) was 37.3 Mg C ha−1. The landward site contributed significantly more AGC (40.1 Mg C ha−1) than the riverward (34.4 Mg C ha−1) site (p

Indonesian peatlands are facing severe environmental challenges due to unsustainable peatlands management. The Indonesian government has established various regulations in response to international and regional agreements on zero carbon and climate change mitigation and adaptation. The study reviews the chronological impact of peatland regulations on land use/land cover (LULC) conditions in Indonesia, in particular four major peatland areas in Sumatra and Kalimantan. Remote sensing data from 1990 to 2020 is used to generate LULC maps, recorded every 5 years, which were compared within the corresponding year in which regulations were established. The results show that the establishment of Indonesian peatland regulations coincided with the ongoing development of international climate change agreements. Historically, temporal image analysis shows massive land-use change between the years 1995–2010. Since 2010 the deforestation rate has slowed and continues to remain low. Improved peatland maps - identifying high carbon stocks with the minimum required accuracy to take action - remain a priority and can also be used to support sustainable development in Indonesia with more effective planning. The lack of detailed mapping of the capability and condition of peatlands is one of the factors that hinder effective policy development, therefore the implementation of digital soil mapping is recommended to support ongoing peatland security through codification.

Most of the basal area in Amazon forest is in large trees, many of which are species of interest for forest management. In forest management these trees are divided into the commercial bole that is harvested for wood production and the stump and crown that are left in the forest where they decompose and emit CO2 over a period of years. Part of the commercial bole is converted to wood products that store carbon according to their durability. The quantification of these components is difficult due to their size, especially in the case of the crown, which causes uncertainties in the estimates of biomass and carbon. Our study estimated the aboveground biomass and carbon of 223 trees and subsequently fit allometric equations to these estimates. Aboveground biomass was calculated from stem volume, wood density and a biomass expansion factor, while total carbon stock estimates used carbon content determined in the laboratory. Linear models (log-transformed) were tested to derive the best-fit allometric model for total aboveground biomass and carbon. The best-fit allometric models used squared tree diameter, tree height, and wood density for biomass, whereas the best carbon model also used carbon content. Our models were more efficient in estimating biomass than were frequently used regional and pan-tropical models. Our equations allow reducing the errors in estimates of forest biomass and carbon stocks, in addition to allowing estimation of the amount of carbon emitted after harvest, although the other models also had good fits and can be used according to the criteria of each researcher and the availability of data.

Biomass measurements are central to understanding and monitoring carbon stocks in the forests. They also assists in assessing the growing stock of a species and biomass energy. Efforts in allometric equation development have grown. This compiled information is an important tool for assessing biomass and associated carbon stocks, the growing stock of a species and biomass energy. Despite this, except for a few attempts, the compilation of available equations has received little attention, particularly in Ethiopia. The uncertainty involved in biomass estimation is also associated with the choice and errors of the equations. The aim of the present paper is thus to review and compile available biomass and volume allometric equations and to critically synthesise quality control procedures for the equations. A total of 767 equations for both volume and biomass were collected from 47 articles, theses and dissertations, representing 47 sites in Ethiopia. Of these, 49% of the equations were developed for the Dry Afromontane biome, 22% for the Acacia-Commiphora biome, 15% for the Combretum-Terminalia biome and 14% for the Moist Afromontane biome. Among the compiled equations, biomass equations comprised 86.7% while the remainder 13.3% were for volume. Although a wide range of natural variations resulted in diverse species in Ethiopia, the already available equations were constrained by the size of individual samples, tree diameter range, tree species and spatial coverage. Moreover, variability in equation presentation and the missing of some relevant statistical parameters or inconsistent statistical analysis were among the problems observed. A quality control procedure revealed that 45 allometric equations had verification problems and were inappropriate for application. Invalid numeric values that may over- or underestimated values were predicted in 42% of the equations. Moreover, seven equations predicted “unrealistic” values, which were low values (4 equations) or both negative and low estimates (3 equations) within their interval of calibration. Altogether, 174 equations (22.7%) were statistically credible equations. These missing information affected the use of the equations and led to the preference of the generalised equations to assess forest biomass stocks. This highlighted important research gaps. The compiled database will also be useful to minimise duplication of efforts and enable efficient utilisation of limited resources, particularly in developing countries such as those in Eastern Africa and beyond in the tropics.

Mangrove forests provide important ecosystem services to the human society and nature including mitigation of climate change. The quality and quantity of ecosystem services offered by mangrove forests are however at risk when mangroves are degraded. The restoration of mangrove areas is considered as a natural solution to recover lost ecosystem services such as securing of carbon stocks. This study was set to assess the extent to which mangrove planting activities compensate for the loss of biomass carbon stocks and other structural attributes in Rufiji Delta-Tanzania through analysis of biomass carbon loss and gain as a result of conversion of mangroves forest into rice farms and planting of mangroves respectively. Circular sampling plots were established in good, degraded and restored mangrove areas where total tree heights and Diameter at Breast Height (DBH) of all standing trees were measured and recorded by species and used to compute biomass carbon stock. The mangrove species composition changed from 7 in 1989 to 2 species in degraded plots in 2016. The species dominance changed from Avicennia marina in 1989 to Rhizophora mucronata in 2016 in good mangrove plots and from A. marina and Sonneratia alba to an invasive Baringtonia racemosa in degraded plots. Bruguiera gymnorrhiza was the only mangrove species used for restoration through planting in the delta and the overall survival rate was 37%. The above-ground carbon (AGC) and below-ground carbon (BGC) for the good natural mangrove plots ranged from 28.18 to 299.43 and 16.00–164.51 Mg C ha−1 respectively compared to 0–150.88 and 0–967.01 Mg C ha−1 in the degraded plots. The total biomass carbon stock in the good natural mangrove plots ranged from 44.14 to 463.94 Mg C ha−1 while for the degraded plots the range was 0–247.89 Mg C ha−1. The carbon stocks in 5, 10 and 15 year old planted mangroves were 13.65, 20.13 and 57.53 Mg C ha−1 respectively. The biomass loss of 172.91 Mg C ha−1 was estimated in a period of 25 years (1989–2016), equivalent to an annual loss rate of 6.9 Mg C ha−1year−1, demonstrating that degradation has a significant contribution to loss of carbon stocks. Nevertheless, an average of 3.8 Mg C ha−1year−1 was stocked by 15 years old planted mangroves, demonstrating that there is potential for the planted mangroves to compensate for the lost carbon if the anthropogenic drivers such as rice farming is controlled. These findings call for urgent collective actions among stakeholders to consider and improve the integrated management of the delta.

Woody-biomass is an important indicator for good vegetation cover, and a healthy environment that provides ecosystems services such as supplying, provisioning, regulating, esthetic, and cultural values. Moreover, woody-biomass stores a very good amount of carbon dioxide as about fifty percent of living organisms are built from carbon. The objective of this study is to estimate the above and belowground woody biomass and carbon stock of Kunzila watershed, Northwest Ethiopia as a piece of baseline information so as to gage the changes after the intervention. The watershed covers about 11,200 ha of land with undulating topographic landscapes. More than 230 sample plots of 30 m by 30 m were surveyed and every woody plant (shrub/bush and tree) was measured. Allometric equations were applied to calculate biomass and carbon stock potential at the plot level. The Random forest algorithm was applied to upscale plot values to watershed level. The results indicate that Kunzila watershed offers maximum biomass of 1,756(±249) Mt year−1/watershed and corresponding carbon dioxide equivalent (CO2e) of 3,022(±429) Mt C year−1 /watershed with the current vegetation status; while the average woody biomass and CO2e were estimated about 244(±249) Mt ha−1 year−1 and 425(±429) Mt C ha−1 year−1, respectively. These results indicate that there are high variabilities among different ecosystem types and also the watershed generally offers below its potential. However, there is a high potential to achieve up to triples of biomass and CO2e by implementing recommended intervention plans developed out of the current study. The current approach using machine learning algorithm to upscale from sample plot-level to watershed scale is a very good one and can be applied to other watersheds at scale.

The study aims to estimate and predict the aboveground biomass, carbon stock and carbon sequestration potential of different land uses of Northeast India and relate these estimates with the land use changes. Many applications such as carbon stock and sequestration monitoring, forest degradation monitoring, and climate change mitigation, require precise and timely estimation of forest biomass. Although traditional field inventory can reliably estimate forest biomass, remote sensing is emerging as an alternate and fast approach to cover larger area with relative precision for biomass estimation. In this study, a combined approach of field inventory and Landsat OLI derived vegetation indices were used in spatial modelling of aboveground biomass and carbon stock in different land uses. A stepwise multilinear regression algorithm was used to derive the model that used Landsat derived NDVI, SAVI and ARVI as predicators. The predicted AGB ranged from 14.32 to 185.95 Mg ha-1 with an average of 148.78 Mg ha-1. The developed model that used combined vegetation indices showed correlation of R2 = 0.79 with an RMSE of 51.04 Mg ha-1. The present study also applied the empirical model (CO2FIX) to simulate the future scenario of carbon stock and carbon sequestration potential of the different land uses. The carbon stock potential of different land uses were 182.31 Mg ha-1, 158.91 Mg ha-1, 134.98 Mg ha-1, 169.26 Mg ha-1, 133.84, 89.95 Mg ha-1, 128.3 Mg ha-1 and 61.36 Mg ha-1 in Tropical forest, Subtropical forest, Temperate forest, Tropical plantation, Subtropical plantation, Temperate plantation, Shifting fallows and Agricultural land, respectively.

Forests are the world's largest carbon sink and play a vital role in climate change mitigation through carbon sequestration; thus the assessment of carbon stock in the forests is important for policy prescription and management planning. In view of this, present study is an attempt to assess the biomass and carbon stock of tree species in selected subtropical and temperate forest stands along the vertical elevation gradient (300 m to 2250 m) in the Central Himalaya. Volumetric equations (allometric method) were used for various tree species along with field sampling/ assessment (quadrat method) for biomass and carbon sequestration potentials. The total tree biomass and carbon stock of dominant forest stands varied from 227.23 to 577.16 Mg ha−1 (megagram per hectare), and 107.93 to 274.15 Mg C ha−1 respectively; it was found maximum for Sal (Shorea robusta) dominated forest and minimum for mixed Oak forest (Quercus floribunda, Q. lanuginosa, Q. leucotrichophora etc.). The carbon sequestration was recorded maximum (4.83 Mg C ha−1 yr−1) for Chir-pine stand (Pinus roxburghii) followed by Sal (4.63 Mg C ha−1 yr−1), mixed Oak (4.47 Mg C ha−1 yr−1), and minimum (3.99 Mg C ha−1 yr−1) for temperate Banj-oak forest (Quercus leucotrichophora). The contribution of above and below ground biomass among different forest stands was recorded 82% and 18% respectively. The dominant species contributed maximum biomass and carbon stock (70–82%) in pure Sal, Chir-pine and Banj-oak stand, while the contribution of dominant and co-dominant species in the mixed forest varied depending on forest composition. The results reveal higher carbon stock for subtropical forest as compared to temperate forest; however, it is interesting that there is no significant difference in carbon sequestration among the different forest stands. The study recommended for the assessing biomass and carbon stock of different forests for long-term management of forests and climate change mitigation.

Non-native Sonneratia apetala plantations have been widely recommended as part of China’s mangrove reforestation and afforestation plans, partly due to their rapid carbon accumulation in biomass and sediments. Nonetheless, reviews of the available data estimating carbon dynamics in the S. apetala plantations reveal a lack of monitoring data concerning carbon dynamics for the mature planted mangroves. This study sought to quantify how biomass and SOC stocks of the mature S. apetala plantations varied with mangrove growth between 2012 (aged 19 years old) and 2019 (aged 26 years old) using a continuous monitoring method. The results show that total biomass, as well as tree height and stem diameter at breast height (DBH), increased significantly between 2012 and 2019, while tree densities of both mangrove canopy and understory layers decreased. However, there was no significant difference in SOC content/stocks between 2012 and 2019. This result about SOC change may be partly attributable to the relatively shorter monitoring time span and the slower accumulation rate of SOC in comparison with biomass. In addition, fine root biomass was positively correlated with SOC content and regulated the vertical distribution of SOC content. Regression analysis for China’s S. apetala plantations found that biomass, tree height and DBH, and SOC stocks all increased with forest age. Moreover, SOC stocks were significantly positively correlated with biomass. This suggests that mangrove afforestation and reforestation can offer carbon-sink potential, but this should be confirmed by longer-term monitoring to further evaluate the SOC accumulation of S. apetala plantations over time.

Conservation agriculture practices involving zero tillage and residue retention are promising nutrient management strategies for soil health restoration. Despite their potential positive impact on soil fertility, improved crop yields and increased revenues for smallholder farmers; their effect on nitrogen inputs and crop growth is not clearly understood. This may limit their potential as a nutrient management strategy that may remedy soil degradation and boost crop yields for farmers. This study investigated how different tillage practices, crop residues and inorganic nitrogen (N) options affect maize production, soil fertility and economics of smallholder farming systems. The study was conducted in a short-term (2 years) on-station trial, under randomized complete block design with three replications in a maize monocrop system. Six treatments, involving three different rates of maize stover residue (0, 3 and 5 t ha−1) and inorganic N (0, 3 and 5 t ha−1) inputs, respectively, were assessed under conventional and zero tillage systems. Mineral N and organic C were assessed at four depths (0–10 cm, 10–30 cm, 30–60 cm and 60–90 cm) whereas soil aggregate distribution was assessed at 0–5 cm, 5–10 cm, 10–15 cm and 15–20 cm depths. Application of inorganic N as the only input increased (p ≤ 0.05) grain yield (with the yields doubling in the short rains (SR) of 2015 and increasing by 1.4 times in long rains (LR) of 2016) compared to unfertilized control treatment. Treatment, soil depth and the time of sampling significantly affected soil mineral N concentration (p ≤ 0.05). Soil organic C reduced significantly (p ≤ 0.05) with sampling depths, but no differences were observed across treatments. At 0–5 cm depth, the proportion of large macroaggregates in zero tillage increased (48%; p ≤ 0.05) after application of crop residues at 5 t ha−1 relative to 3 t ha−1. Zero tillage treatment with application of 5 t ha−1 of residue and 80 kg N ha−1 was the most dominant and most profitable compared to the other treatments. This treatment had a benefit cost ratio (BCR) of 2.9 (in the short rains season of 2015) and 3.0 (long rains of 2016 seasons). Its marginal rate of return (MRR) was 368% (in the 2015 short rains season) and 416% (in the 2016 long rains season). This makes it a good nutrient management strategy with potential of optimizing maize yields.

Conservation faces the challenge of reconciling human activities with the simultaneous presence of wildlife in cultivated landscapes. In a study carried out in two villages of Pauri Garhwal, Western Himalaya, an attempt was made to estimate biomass and associated carbon loss due to removal of agroforestry tree species to reduce human-animal interactions. The results revealed that tree removal caused substantial biomass loss (7.370–2.444 t ha−1) and carbon loss (3.444–15.137 t ha−1) in the village of Manjgaon and Mald Bada, respectively. This indicates a need for protection of existing forests and for tree planting through reforestation and afforestation, as a measure to support food stock for monkeys in their natural habitats and to enhance carbon sequestration capacity. The success of these management practices will depend on the potential to minimise human-animal interactions, especially at the fringes of village communities and agricultural landscapes.

The present study emphasizes the biomass and carbon sequestration potential of plantations in the East Siang district of Arunachal Pradesh, India. The integrated approach of geospatial technology along with field inventory based data was used in spatial modeling of biomass and carbon sequestration potentials of selected plantations. The stand density was recorded highest (1320 individuals ha−1) in Areca catechu (AC) plantation followed by Citrus sinensis (CS) 1240 individuals ha−1 and lowest (620 individuals ha−1) in Hevea brasiliensis (HB) plantation. The basal area was recorded maximum in HB plantation and minimum in CS plantation. The Above ground biomass (AGB) was recorded for the plantations AC, CS, HB were 51.42 t/ha, 18.84 t/ha, and 60.74 t/ha, respectively. Total biomass carbon was found to be highest in the plantation of HB (43.10 t/ha) followed by AC (36.48 t/ha) and (13.37 t/ha) in CS plantation. Total soil carbon was recorded highest in AC (61.76 t/ ha) followed by HB (46.73 t/ha) and CS (29.27 t/ha). The highest total carbon storage in various plantation parts (tree above and below ground, deadwood and litter, soil) was found greater in AC plantation (67.82 t/ha) followed by HB plantation (66. 91 t/ha) and CS plantation (28.50 t/ ha). Spatial AGB density was modeled using satellite data derived vegetation indices and GIS techniques. Among the vegetation indices used, SAVI resulted better relationship with the AGB hence was used for modeling carbon stock for the study area. The predicted average biomass in the study area was computed as 56.32 t/ha. However, the predicted biomass was 65.86 t/ha, 73.26 t/ha and 29.86 t/ha for the CS, HB and AC plantations, respectively. The present study reveals that HB plantation possessed the greater potential of carbon capture followed by AC and CS plantations and the girth of trees plays an important role in biomass accumulation.

Climate change has adversely affected the tree species growth throughout the globe. In Indian Himalayas, Celtis australis is an important agroforestry tree species which is highly exploited for domestic use (fuel wood, fodder, and small timber), and thus the growth and biomass production linked to the species bears importance. However, growth, biomass, and carbon stock of C. australis can be improved if genetically superior planting material is used under agroforestry programmes. Therefore, seed source (SS) variation studies in C. australis were initiated to identify potential germplasm for improving the species productivity and climate resilience. Experimental results showed that genotypic variation for height, collar diameter, and total biomass were found higher than corresponding environmental variance after four years. In the field environment, highest plant growth was recorded in Tehri SS (Height: 4.88 m; Diameter: 9.69 cm) and Solan SS (Height: 4.81 m; Diameter: 8.64 cm), compared to rest of the seed sources. In contrast, least plant growth (Height: 3.46 m; Diameter 5.19 cm) was observed in Dehradun SS. Likewise, biomass production was assessed maximum (207 t ha−1) in Tehri SS and it was minimum (44 t ha−1) in Dehradun SS. In different seed sources, the estimated carbon stock and carbon sequestration was ranged between 33 103 t ha−1 and 99–381 t ha−1, respectively. Overall, growth, biomass, carbon stock, and carbon sequestration confirmed the superiority of Tehri SS over rest of the SS, after four years of field experiment. Moreover, Tehri SS showed better mitigation and adaptation potential for changing climate compared to rest of the SS, because of its superiority in term of the growth performance, biomass production, carbon stock, and carbon sequestration. The results indicated that SS induced genetic variation has the tremendous potential to improve the productivity and climate change mitigation and adaptation in C. australis. Therefore, selection of genetically diverse seed sources and evaluation of their potential (adaptive and mitigate) could be one of the futuristic strategies for climate change related fine-tuning of agroforestry practices.

The dataset of the ecosystem services provided by the agricultural areas of the Märkisch-Oderland District-Brandenburg, Germany, contains six standardised indicators of ecosystem service provision, and includes one provisioning service - i) biomass production (PRO), four regulating services - ii) water storage (WAS), iii) carbon stock total (CST), iv) carbon stock potential (CSP), v) habitat for species (HAB), and one cultural service – vi) landscape attractiveness (LAT). The indicators were built from mostly public data, including for example the CORINE Land Cover map, the GSP-FAO soil carbon stock map, and MODIS NDVI and ASTER DEM satellite images.