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BACKGROUND AND OBJECTIVES: Efforts to enhance carbon stocks and boost carbon absorption potential are essential for climate change mitigation. Peatland ecosystems, known for their high organic content, are particularly vulnerable to environmental management. The study aimed to examine the alterations in land use and land cover that occurred between 1998 and 2022, spanning a 24-year duration. Additionally, it sought to assess the associated variations in carbon stocks within the designated Kepau Jaya specific purpose forest area. The area under investigation encompasses a peatland ecosystem that has experienced substantial changes in land cover and land use. This study investigated the fluctuations in carbon stock caused by these alterations and provides valuable perspectives on the potential of agroforestry systems to promote a wider range of land uses. Additionally, it highlights their role in ecosystem restoration initiatives and the better management of forest peatland regions. METHODS: A spatial analysis was conducted on Landsat 5 and 8 satellite images by using shapefile data stored within the Google Earth Engine platform. Data analysis was carried out using Classification and Regression Tree, a decision tree algorithm used in machine learning for guided classification. Furthermore, purposive sampling was utilized to gather socioeconomic data, followed by the implementation of a benefit-cost analysis. FINDINGS: The results revealed significant changes in the land cover within the Kepau Jaya specific purpose forest area over a 24-year period, with forested areas and open areas decreasing by 23.15 hectares per year and 16.94 hectares per year respectively, and oil palm plantation areas expanding by 40.10 hectares per year. From 1998 to 2022, there has been a consistent annual decline in carbon stocks, resulting in a reduction of 1,933.11 tons of carbon per year. The changes in land use and cover are closely linked to this decline. In an effort to increase plant species diversity in the area and support the gradual transition away from monoculture, a participatory agroforestry scheme was implemented by intercropping Coffea liberica and Shorea balangeran between oil palm rows in a 2-hectare oil palm plantation block within the agroforestry demonstration plot. According to measurements taken at breast height, the aboveground biomass of these species was measured, leading to projected estimates of carbon stocks in Kepau Jaya specific purpose forest area reaching 19,455 tonnes of carbon by the year 2030, with Coffea liberica contributing 4,148 tonnes carbon and Shorea balangeran contributing 15,307 tonnes carbon. CONCLUSION: The study area experienced a substantial reduction in forest cover, whereas the extent of oil palm areas expanded significantly. The findings underscore the need for proactive measures to strengthen the governance of specific-purpose forest areas through community empowerment and the establishment of demonstration plots to promote agroforestry development. The results of this study provide insights for long-term forest rehabilitation strategies aimed at fostering sustainable forest management that yields environmental and socio-economic benefits in the long run. [ABSTRACT FROM AUTHOR]

BACKGROUND AND OBJECTIVES: Efforts to enhance carbon stocks and boost carbon absorption potential are essential for climate change mitigation. Peatland ecosystems, known for their high organic content, are particularly vulnerable to environmental management. The study aimed to examine the alterations in land use and land cover that occurred between 1998 and 2022, spanning a 24-year duration. Additionally, it sought to assess the associated variations in carbon stocks within the designated Kepau Jaya specific purpose forest area. The area under investigation encompasses a peatland ecosystem that has experienced substantial changes in land cover and land use. This study investigated the fluctuations in carbon stock caused by these alterations and provides valuable perspectives on the potential of agroforestry systems to promote a wider range of land uses. Additionally, it highlights their role in ecosystem restoration initiatives and the better management of forest peatland regions.METHODS: A spatial analysis was conducted on Landsat 5 and 8 satellite images by using shapefile data stored within the Google Earth Engine platform. Data analysis was carried out using Classification and Regression Tree, a decision tree algorithm used in machine learning for guided classification. Furthermore, purposive sampling was utilized to gather socioeconomic data, followed by the implementation of a benefit-cost analysis.FINDINGS: The results revealed significant changes in the land cover within the Kepau Jaya specific purpose forest area over a 24-year period, with forested areas and open areas decreasing by 23.15 hectares per year and 16.94 hectares per year respectively, and oil palm plantation areas expanding by 40.10 hectares per year. From 1998 to 2022, there has been a consistent annual decline in carbon stocks, resulting in a reduction of 1,933.11 tons of carbon per year. The changes in land use and cover are closely linked to this decline. In an effort to increase plant species diversity in the area and support the gradual transition away from monoculture, a participatory agroforestry scheme was implemented by intercropping Coffea liberica and Shorea balangeran between oil palm rows in a 2-hectare oil palm plantation block within the agroforestry demonstration plot. According to measurements taken at breast height, the aboveground biomass of these species was measured, leading to projected estimates of carbon stocks in Kepau Jaya specific purpose forest area reaching 19,455 tonnes of carbon by the year 2030, with Coffea liberica contributing 4,148 tonnes carbon and Shorea balangeran contributing 15,307 tonnes carbon. CONCLUSION: The study area experienced a substantial reduction in forest cover, whereas the extent of oil palm areas expanded significantly. The findings underscore the need for proactive measures to strengthen the governance of specific-purpose forest areas through community empowerment and the establishment of demonstration plots to promote agroforestry development. The results of this study provide insights for long-term forest rehabilitation strategies aimed at fostering sustainable forest management that yields environmental and socio-economic benefits in the long run.

The integration of trees into diverse land-use systems holds potential for India to meet nationally determined contribution (NDC) targets under the Paris Climate Agreement. With a target of sequestering 2.5–3 billion tons of CO2 equivalent by 2030, the study focused on the widespread and economically viable eucalyptus-based agroforestry, practiced widely in various planting geometries tailored to meet industrial end-use requirements. In this context, a detailed study was conducted to quantify the influence of five planting geometries [3 m × 3 m, 6 × 1.5 m, 17 × 1 × 1 m (paired row) and two boundary plantations (east–west and north–south directions) at 2 m away from tree to tree] of eucalyptus on intercrops [dhaincha (Sesbania aculeata)—barley (Hordeum vulgare L.) rotation] biomass, soil properties, and carbon stock of the system during 2009–2016. Results revealed that biomass accumulation of different tree components was 62.50%–74.09% in stem; 6.59%–9.14% in branch; 3.18%–5.73% in leaves; 12.20%–20.44% in stump roots; and 1.71%–3.48% in fine roots across the planting geometries. The mean carbon content of the stem, branch, leaves, and roots was 49.00, 47.00, 43.00, and 49.00%, respectively. Over the 8-year period, geometry of 3 × 3 m performed better in terms of total biomass production (344.60 Mg ha− 1 by tree biomass and 62.53 Mg ha−1 by intercrops). The independent parameter, DBH²H (DBH: diameter at breast height and H: tree height), was found to be a very good predictor of dry weight, followed by DBH alone. Among various functions (linear, allometric, logistic, Gompertz, Chapman, and exponential), the best-fit equation was allometric, i.e., B = 300.96 × DBH²H0.93 (adjusted R² = 0.96) for eucalyptus based on universal model adequacy and validation criteria. The carbon sequestration rate was maximum (20.79 Mg C ha−1 year−1) in 3 × 3 m followed by 17 × 1 × 1 m. The total carbon stock of eucalyptus-based system (tree + crop + soil) varied significantly under different planting geometries and sole crop rotation (dhaincha–barley). The higher carbon stock (237.27 Mg ha−1) was obtained from 3 × 3 m spacing and further partitioning carbon stock in trees—166.29 Mg ha−1, crops—25.01 Mg ha−1 and soil—45.97 Mg ha−1. The paired row spacing (17 × 1 × 1 m) yielded higher crop yield and net returns (Rs. 600,475 ha−1), underscoring wide spacing’s role in system productivity and sustainability. Tree-based systems were valuable components of agriculture, advocating for their widespread adoption to reduce CO2 emissions and generate income through carbon credits. These findings will provide crucial insights into sustainable land-use practices and advance India’s commitment toward adaptation of climate change mitigation strategies. [ABSTRACT FROM AUTHOR]

Quantifying soil attributes in agroforestry reflects its productivity and carbon dynamics which indicates a healthier ecosystem functioning toward achieving sustainable production of coffee in the Southern region of Chhattisgarh. The present study was carried out in the coffee-based agroforestry system (AFs) of the Darbha Block, Bastar region in Chhattisgarh. The objective of this paper was to analyze soil properties and carbon dynamics of soil under five varietal treatments of coffee-based AFs. Silver oak cultivation was added to the AFs as it protects coffee and helps in sustainable coffee production. The soil was collected randomly using the auger from two different depths viz., 0–15 and 15–30 cm under coffee-based AFs. The value of N, P, K, S, B, Zn, C, Fe, Mn, OC%, and SOC stock were higher in San Ramon (T3) based AFs. The values of bulk density (BD), pH, and EC were recorded as highest under control treatment (To), respectively. Soil organic carbon (SOC) stock ranged between 10.21 (T0)–13.86 (T3) and 0.34 (T0)–0.59 (T3) t ha−1 for surface and sub-soil, respectively. Data analysis revealed the isolation of six PCA (principle component analysis) from the various soil attributes. The first component reflected maximum variability for both layers. Further, correlation studies revealed a strong association between the soil attributes. Therefore, the present work highlights the importance of agroforestry systems towards improving soil quality along with sustainable production of coffee. [ABSTRACT FROM AUTHOR]

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.

ARTICLE HIGLIGHTS - Agroforestry boosts carbon storage, reducing greenhouse gas emissions significantly. - Diverse tree-based farming enhances biodiversity, soil health, and climate resilience. - Carbon sequestration in agroforestry supports sustainable agriculture and environmental balance. - Agroforestry practices mitigate climate change by storing carbon in trees and soil. - Combining trees with crops provides multiple ecological and economic benefits. ABSTRACT One of the processes for compensating greenhouse gas emissions is atmospheric carbon removal and storage in the terrestrial biosphere. Agricultural systems to which trees are returned for careful management alongside crops and animals are thought to be substantial CO2 sinks. People are increasingly realizing the importance of agroforestry because it is good for the environment and farming. In this study, total carbon pools from the aboveground biomass carbon (ABGC), forest floor carbon (FFC), and soil organic carbon (SOC) were investigated and carbon storage data for some agroforestry practices native to Uttaradit in northern Thailand were analyzed. The role of these carbon pools in reducing CO2 concentrations in the atmosphere was also discussed. The results showed differences in the total carbon stock sourced from traditional agroforestry (TAF), applied agroforestry (AAF), and developed agroforestry (DAF). The total carbon store (ABGC + TFFC + SOC) of TAF, AAF, and DAF was 267.05 Mg C/ha, 226.48 Mg C/ha, and 324.70 Mg C/ha, respectively. SOC contributed 47.64%, 54.26%, and 44.81% and ABGC contributed 22.75%, 19.79%, and 23.90% to the total carbon stock in TAF, AAF, and DAF, respectively. The CO2 adsorption was 979.27 Mg CO2/ha, 830.50 Mg CO2/ha, and 1,190.6 Mg CO2/ha in TAF, AAF, and DAF, respectively. It is clear that agroforestry systems serve as carbon sinks in terrestrial ecosystems. Although the comparison of agroforestry practices and other land use types is important for carbon mitigation and the implementation of the “Land Use, Land Use Change, and Forestry” concept for CO2 sinks, it is also crucial to compare the potential of carbon sequestration in different CO2 pools.

Agroforestry plays a pivotal role in mitigating greenhouse gas (GHG) emissions and addressing the challenges posed by climate change. While carbon sequestration efforts have primarily centred on forests, it is imperative to acknowledge the contribution that non-forest ecosystems, such as agroforestry, can offer. This study investigated the influence of agroforestry systems on the variation of biomass carbon stocks in the Sahelo-Sudanian and Sudanian regions of the Senegalese Groundnut basin. Three primary agroforestry systems were studied: silvopastoral, agrisilvicultural, and agrosilvopastoral. Forty-six (46) 100 m × 100 m plots were sampled, within which 1 × 1 m2 subplots were used to sample understory biomass across three agroforestry systems in the two climatic zones. Analysis of variance was performed to assess the influence of agroforestry systems and climatic zones on biomass carbon stocks. The findings showed that in the Sahelo-Sudanian region, the agrisilvicultural system exhibited the highest AGC + BGC stocks, averaging 43.42 ± 21.61 tCha−1. In contrast, the silvopastoral system showed significantly higher AGC + BGC stocks, which amounted to 36.33 ± 12.27 tCha−1 in the Sudanian region. On the other hand, understory carbon stocks were significantly higher (p < 0.01) in the agrisilvicultural and agrosilvopastoral systems than in the silvopastoral system in both climatic zones. Agroforestry systems had a significant effect on AGC + BGC stocks within climatic zones. Nevertheless, the effect was less pronounced when comparing across climatic regions. These results underscore the importance of specific land management practices interacting with local climatic conditions to influence AGC + BGC stocks. Therefore, policy makers should carefully consider the interaction of these factors when implementing carbon management practices and planning mitigation strategies in West Africa. [ABSTRACT FROM AUTHOR]

Forests face a variety of threats in the modern era. Agroforestry systems, both traditional and introduced, have a tremendous capacity for providing sustainable resources and combating the impact of global climate change. Indigenous agroforestry and forest land-use systems are important reservoirs for biodiversity conservation and ecosystem services, providing a potential contribution to livelihood security for rural communities. This study aimed to assess the tree diversity and carbon stock of agroforestry and adjoining forests along altitudinal gradients, ranging between 700 and 2200 masl (i.e., lower, middle, and upper altitudes) by laying sample plots randomly of a size of 20 × 20 m2. In the forest land-use system, the maximum Importance Value Index (IVI) included Dalbergia sissoo (71.10), Pyrus pashia (76.78), and Pinus roxburghii (79.69) at the upper, middle, and lower elevations, respectively, whereas, in the agroforestry land-use system, the IVI reported for Ficus semicordata was 43.05 at the upper, while for Grewia optiva it was at 53.82 at the middle and 59.33 at the lower altitudes. The below-ground biomass density (AGBD) was recorded as 1023.48 t ha−1 (lower), 242.92 t ha−1 (middle), and 1099.35 t ha−1(upper), while in the agroforestry land-use system, the AGBD was 353.48 t ha−1 (lower), 404.32 t ha−1 (middle), and 373.23 t ha−1 (upper). The total carbon density (TCD) values recorded were 630.57, 167.32, and 784.00 t ha−1 in forest land-use systems, and 227.46, 343.23, and 252.47 in agroforestry land-use systems for lower, middle, and upper altitudes, respectively. The Margalef's Index values for agroforestry and forests ranged from 2.39 to 2.85 and 1.12 to 1.30, respectively. Soil organic carbon (SOC) stock recorded 45.32, 58.92, and 51.13 Mg C ha−1 for agroforestry and 61.73, 42.65, and 71.08 Mg C ha−1 for forest in lower, middle and upper elevations, respectively. The study suggests that selecting land use patterns can be an effective management system for tree species at different elevations for carbon storage, helping to mitigate climate change and aiding in sustainable management of ecosystems in the Garhwal Himalayas. [ABSTRACT FROM AUTHOR]

The integration of trees into diverse land-use systems holds potential for India to meet nationally determined contribution (NDC) targets under the Paris Climate Agreement. With a target of sequestering 2.5–3 billion tons of CO2 equivalent by 2030, the study focused on the widespread and economically viable eucalyptus-based agroforestry, practiced widely in various planting geometries tailored to meet industrial end-use requirements. In this context, a detailed study was conducted to quantify the influence of five planting geometries [3 m × 3 m, 6 × 1.5 m, 17 × 1 × 1 m (paired row) and two boundary plantations (east–west and north–south directions) at 2 m away from tree to tree] of eucalyptus on intercrops [dhaincha (Sesbania aculeata)—barley (Hordeum vulgare L.) rotation] biomass, soil properties, and carbon stock of the system during 2009–2016. Results revealed that biomass accumulation of different tree components was 62.50%–74.09% in stem; 6.59%–9.14% in branch; 3.18%–5.73% in leaves; 12.20%–20.44% in stump roots; and 1.71%–3.48% in fine roots across the planting geometries. The mean carbon content of the stem, branch, leaves, and roots was 49.00, 47.00, 43.00, and 49.00%, respectively. Over the 8-year period, geometry of 3 × 3 m performed better in terms of total biomass production (344.60 Mg ha− 1 by tree biomass and 62.53 Mg ha−1 by intercrops). The independent parameter, DBH2H (DBH: diameter at breast height and H: tree height), was found to be a very good predictor of dry weight, followed by DBH alone. Among various functions (linear, allometric, logistic, Gompertz, Chapman, and exponential), the best-fit equation was allometric, i.e., B = 300.96 × DBH2H0.93 (adjusted R2 = 0.96) for eucalyptus based on universal model adequacy and validation criteria. The carbon sequestration rate was maximum (20.79 Mg C ha−1 year−1) in 3 × 3 m followed by 17 × 1 × 1 m. The total carbon stock of eucalyptus-based system (tree + crop + soil) varied significantly under different planting geometries and sole crop rotation (dhaincha–barley). The higher carbon stock (237.27 Mg ha−1) was obtained from 3 × 3 m spacing and further partitioning carbon stock in trees—166.29 Mg ha−1, crops—25.01 Mg ha−1 and soil—45.97 Mg ha−1. The paired row spacing (17 × 1 × 1 m) yielded higher crop yield and net returns (Rs. 600,475 ha−1), underscoring wide spacing’s role in system productivity and sustainability. Tree-based systems were valuable components of agriculture, advocating for their widespread adoption to reduce CO2 emissions and generate income through carbon credits. These findings will provide crucial insights into sustainable land-use practices and advance India’s commitment toward adaptation of climate change mitigation strategies.

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.

Litter is a fragment of aboveground carbon stocks, a vital bridge to the belowground carbon cycle. Land conversion to agricultural purposes will affect litter production. This study aimed to compare the litter production of natural forests with cocoa-based agroforestry systems (AFS) in West Sumatra. Litter production was measured in five different types of ecosystems, namely natural forest (NF), cocoa-rubber-based AFS (CR), multistrata cocoa-based AFS (CM), cocoa-coconut-based AFS (CC), and cocoa monoculture (M). This study is quantitative research with the collection method. The difference in litter production between the five ecosystems observed was tested using ANOVA parametric statistical method. Litter was collected monthly for one year in which litter traps were evenly distributed in each research plot. Ecosystems of NF and M produced the highest annual litter (6.04 Mg ha-1 and 4.65 Mg ha-1 respectively), while CR produced the lowest one (2.52 Mg ha-1). Although this study did not perform comprehensive modeling of decomposition dynamics, the measurement of annual litter production can provide a further understanding of the dynamics of ecosystem carbon, especially in cocoa-based agroforestry.

Several agroforestry systems prevail in different agro-ecological zones of Pakistan, and cover a remarkable area of 19.3 million hectares. They not only play an important role in slowing down CO2 emissions, but also contribute to mitigating climate change. However, in many regions, the relevant effect of agroforestry systems on overall carbon (C) stock and their reliance on various factors are quite unidentified. This study was planned to assess the biomass accumulation and C stocks of different commonly practiced agroforestry systems (boundary, bund, scattered, agri-horticulture) and their constituent land use types (tree + cropland) through a non-destructive approach (allometric equations) in a semi-arid region of Punjab, Pakistan. The results showed that the highest plant biomass (87.12 t ha−1) increased by 46%, 17%, 78%, and 339%, and C stock (42.77 t ha−1) increased by 49.51%, 20%, 82%, and 361% in the boundary planting system compared to the bund, scattered, agri-horti and sole cropland, respectively. The soil organic carbon (SOC) stock at all three depths, 0–15 cm, 15–30 cm & 30–45 cm, was found in the following order: boundary planting system > bund planting system > agri-horti system > scattered planting system > agricultural system, with a maximum in the boundary planting system and minimum in the sole cropping system at all three depths. Overall, the total C stock of the ecosystem's vegetation + soil C (0–30 cm) in the forested area was 275 t ha−1, equating to 37 t ha−1 in the agricultural system alone. Our results highlighted that agroforestry systems have the highest potential for C sequestration. We suggest that research and investment in agroforestry systems can be a successful way for Pakistan to achieve some of its climate change mitigation goals. [ABSTRACT FROM AUTHOR]

The objective of this study was to improve cacao (Theobroma cacao) production through its association with a woody species, such as Ricinodendron heudelotii, in western Côte d'Ivoire. To do this, a design of two transects (10 m and 20 m) was installed around the species in 5 localities (Buyo, Duekoué, Guéyo, San-Pedro, and Soubré). The diameter at the breast height of the tree, the height, the number of fruits, the above biomass, and its carbon stock were measured. Results showed morphological variability of R. heudelotii according to the localities. The presence of the species within cacao trees reduces the rate of pod rot, stabilizes the rate of pods eaten away, and increases the biomass production and the carbon storage of cacao trees. The distance between the two species had no impact on the vigor and the yield of cacao trees. However, cacao density in the 10 m line was reduced compared to that of the 20 m. Therefore, the integration of R. heudelotii into cacao agroforestry systems could improve cacao production. That is why the reduction of cacao density, as well as the use of more suitable varieties of cacao, should be considered for the sustainability of this system. [ABSTRACT FROM AUTHOR]

Due to higher atmospheric greenhouse gasses concentrations, global warming is undoubtedly the most critical environmental issue that needs an immediate solution. Agroforestry has attained worldwide recognition to cope with this global problem due to its greater potential to sequester atmospheric carbon dioxide along with other ecosystem services, including food security. However, quantitative information about the biomass and carbon sequestration in poplar-maize agroforestry systems is not available in semi-arid climatic zones in Pakistan. The current study was carried out to evaluate the vegetation biomass and carbon stocks under three poplar-maize agroforestry planting patterns under semi-arid climatic conditions in a subdivision Jaranwala, District Faisalabad, Pakistan. The data was collected in three agroforestry patterns like; A (192 trees ha−1), B (255 trees ha−1), and C (296 trees ha−1). Allometric equations were used to estimate the biomass and carbon stock in plant species. Results showed that the poplar tree carbon stock among three planting patterns was significantly different, with maximum carbon stock of 35.62 t ha−1 in pattern C, and it was 8% and 33.5% greater than the carbon stock of pattern B and pattern A, respectively. The maximum aboveground biomass assimilated by maize crop was (11.95 t ha−1) in pattern B, and it was 10.3% and 3.6% greater than pattern A and pattern C, respectively. The grain yield was highest in pattern A as compared to the other two patterns. Additionally, the maximum soil carbon stock in soil was estimated (22.72 t ha-1) in pattern C, at 0-15 cm depth, while it was 13.42% and 6.61% greater than pattern A and pattern B, respectively. In conclusion, the findings of this study suggested that pattern C with maximum biomass production and carbon stocks is the optimum poplar maize planting pattern in requisites of both financial and environmental benefits in the form of carbon sequestration.

Agroforestry, a sustainable land use practice adopted as a strategy under Kyoto Protocol, plays a crucial role to mitigate the inevitable climate change with a promising potential of carbon sequestration in their biomass and utilization of their numerous resource. Agroforestry is crucial for reducing greenhouse gas emissions, sustaining livelihoods, and partial solutions for biodiversity conservation. Worldwide, agroforestry is practiced by more than 1.2 billion people, on around 1 billion hectares (ha) of land area, while in India, around 25.32 million hectares area comes under agroforestry. Agroforestry system is the enhancement of overall farm productivity, soil enrichment through litter fall, above and below ground carbon sequestration, maintaining environmental services. Different agroforestry systems are adapted at the global level and periodic monitoring and estimation of area under agroforestry, monitoring of tree and soil carbon stocks is still a challenging task due to the lack of uniform methodology. The review analyzes the potential of agroforestry systems for climate adaptation and mitigation as well as their implications for the livelihood of human well-being. [ABSTRACT FROM AUTHOR]

Abstract A socio-economic study was conducted in district Mardan of the Khyber Pakhtunkhwa (KP) province of Pakistan to get a comprehensive knowledge of the agroforestry tree species grown on the farmlands, their yield, and carbon stock. For yield and carbon stock estimation, data were collected from 59 sample plots by measuring the diameter, height, volume, and biomass of selected agroforestry tree species through D-tape and Haga altimeter. A total of 59 sample plots were inventoried using 2.5 percent sampling intensity. Each sample plot has an area of 0.5 ha, where each tree with a Diameter at Breast Height (DBH) ≥ 5 cm was inventoried. The calculated amount of volume of each tree species was then converted to biomass by multiplying it by the density of wood and the Biomass Expansion Factor (BEF). Total yield and C stock for the selected agroforestry tree species were 11535.2 metric tons and 2102.2 metric tons, respectively. Populus euroamericana is classified as the main tree with 28% growing stock prior to Morus alba by 21%, while Melia azedarach, Eucalyptus camaldulensis, Dalbergia sissoo, Acacia nilotica, Salix tetrasperma, and Bombax ceiba consist of 15%, 12%, 8%, 6%,7% and 3% growing stock respectively. Among the species found in different sampling plots the yield of Populus euroamericana was found to be 4747.5 metric tons and it was followed by the species Morus alba found at 2027.3 metric tons. Similarly, the volume for Melia azedarach, Eucalyptus camaldulensis, Dalbergia sissoo, Salix spp, Boombox ceiba, and Acacia nilotica was 1532.2 tons,1503 ton,745.7,203.5ton, 555.4ton and 220.5ton, respectively. The carbon stock for Populus euroamericana was calculated as 777.8 ton/ha, while for Eucalyptus camaldulensis, Melia azedarach, Morus alba, Dalbergia sissoo, Acacia nilotica, Salix species, and Bombax ceiba it was calculated as 312.3ton/ha, 272.1ton/ha, 363ton/ha, 245.1ton/ha, 51.4ton/ha, 27.3ton/ha and 53.2ton/ha, respectively. The questionnaire survey conducted for price dynamics showed that the majority of respondents purchase timber from the market for construction. But they use farm trees with low-quality city construction. They dislike using local timber in the conventional building as timber from farm trees is liable to insect attack. Rs. 50,000-100000, (33.33%) of daily sales was concluded from 50% of the trader while (16.7%) of the traders have their sales between Rs.150,000-200,000. Therefore, it is concluded by the authors that both provincial and federal government should promote agroforestry in Pakistan through different incentives because it has the potential to cope with dilemma of deforestation of natural forests and improve the livelihood of local peoples. It is strongly recommended that special projects just like the Ten Billion Tree Afforestation Project (T-BTTP) should be launched for agroforestry plantation and promotion in the country to sustain the ecological harmony and uplift the socio-economic condition of the peoples of Pakistan.

Bhimal (Grewia oppositifolia) is the most important agroforestry tree species used for fodder, fuel and fiber in the Himalayan region. In the present study, G. oppositifolia-based traditional agroforestry systems were selected for the estimation of carbon stock and the production potential of barnyard millet (Echinochloa frumentacea) and finger millet (Eleusine coracana), with two elevational ranges, i.e., 1000–1400 and 1400–1800 m amsl, in Garhwal Himalaya, India. The results of the investigation showed a decline in the growth and yield attributes of both the millet crops under the G. oppositifolia-based agroforestry system at both elevations as compared to their respective control sites (sole crops). Among the elevations, the total number of tillers per plant (2.70 and 2.48), the number of active tillers per plant (2.18 and 2.25), panicle length (17.63 cm and 6.95 cm), 1000-seed weight (5.49 g and 4.33 g), grain yield (10.77 q ha−1 and 11.35 q ha−1), straw yield (37.43 q ha−1 and 30.15 q ha−1), biological yield (48.21 q ha−1 and 41.51 q ha−1) and the harvest index (22.53% and 27.78%) were recorded as higher in the lower elevation in both E. frumentacea and E. coracana, respectively, while plant population per m2 (18.64 and 25.26, respectively) was recorded as higher in the upper elevation. Plant height for E. frumentacea (180.40 cm) was also observed to be higher in the upper elevation, while for E. coracana (98.04 cm), it was recorded as higher in the lower elevation. Tree carbon stock was reported negatively with an increase in altitude. The maximum amount of sequestered carbon in the tree biomass for G. oppositifolia was 23.29 Mg ha−1 at the lower elevation and 18.09 Mg ha−1 at the upper elevation. Total carbon stock in the tree biomass was reported to be the highest (15.15 Mg ha−1) in the 10–20 cm diameter class, followed by 20–30 cm (6.99 Mg ha−1), >30 cm (2.75 Mg ha−1) and the lowest (2.32 Mg ha−1) in the <10 cm diameter class. The results show that the yield of E. frumentacea and E. coracana was not reduced so severely under the G. oppositifolia system; however, keeping in mind the other benefits of this multipurpose tree, i.e., carbon sequestration and socioecological relevance, farmers can get benefit from adopting these crops under G. oppositifolia-based agroforestry systems. [ABSTRACT FROM AUTHOR]

Agroforestry is a system of land utilization that describes trees with different crops fused in a single area for farmers' net income. One or more agroforestry practices in one particular area usually have biological, environmental and economical interaction between the compounds. Whilst the main aim of the AFS is not only economic benefits but also modern studies show that AFS could be used as a prime source carbon pool. Up to 12-228-ton ha-1, with an average of 95 ton ha-1, can be stored via the AFS. Trees with crops can raise the carbon stocks to several folds compared to monocrop systems. In order to meet the CO2 assimilation targets anticipated at Kyoto while simultaneously maintaining sustainable farm production and preventing further deforestation, integration of agricultural practices and systems in C Sequestration and C trade projects can be highly useful. Pakistan is a low middle income with an average annual rate of growth of 216.6 million people. Agroforestry has a very important role and is a key part of Pakistan's daily life, particularly rural people. In Khyber Pakhtunkhwa agroforestry is practiced in various models and shapes from the protection of naturally growing trees to the artificial cultivation of trees on agricultural lands. Agroforestry is an important timber and fuelwood source, with 70 percent of the urban and 97 percent of the rural domestic fuel wood being the main energy source in Khyber Pakhtunkhwa for centuries. Two different agroforestry systems i.e. Agri-silviculture system and Agri-horti-silviculturesystem were selected at District Charsadda Khyber Pakhtunkhwa, Pakistan. Moisture content was calculated by oven dry method. pH and EC was obtained from mettler Toledo meter. Organic matter was obtained by loss on ignition method in laboratory. To calculate soil organic carbon it was assumed that total organic matter contains 58% organic carbon contents or a relation i.e. organic carbon =SOM% multiply by 0.58. Statistical Analysis were conducted using. The jamovi project (2021) Version 1.6. The mean value of SOC for AHS system is 1.76% while that of AS system is 0.916%. The means of two systems are different from each other, the mean SOM value for AHS system was found to be 3.03% and for AS system it is 1.55%. Our results show that soil organic carbon had an inverse relationship with soil pH. High density of carbon in agricultural Lands including agroforestry is related to the high tree diversity that increases plant production hence increased biomass. Litter fall also contributes to C stock accumulation in Soil. It is the most important known pathway Connecting vegetation and soil and is a good indicator of aboveground productivity. [ABSTRACT FROM AUTHOR]

The need to put into practice sustainable agricultural production systems has been supported by agroecology science that seeks to optimize land use to food production with the lowest impact on soil. This study evaluated soil quality, based on physical and chemical attributes, in agroforestry (AGF) and silvopastoral (SILVP) systems developed for large-scale food production. The study was carried out in the municipality of Itirapina, state of São Paulo, in two areas with AGF and SILVP system, compared to an area with a forest fragment and another with pasture in a Quartzipisamment Sand Neosol. The soil collections were carried out in the layers of 0.00–0.05, 0.05–0.10, 0.10–0.20, and 0.20–0.40 m, where physical soil attributes were evaluated (total porosity, microporosity, and microporosity, density, mean diameter of aggregates) as well as chemical attributes (macro- and micronutrients), in addition to carbon and nitrogen storage. To interpret the data, Tukey's test was applied to compare means, and principal component analysis was used to better characterize the study environments. The results showed that agroforestry and silvopastoral systems developed for large-scale production are efficient in improving chemical and physical attributes that reflect on soil quality, especially in the superficial layers of the soil, overcoming pasture and the natural regeneration process. Carbon and nitrogen storage were the main variables that differentiated the production systems, highlighting the importance of the AGF and SILVP systems as more sustainable agricultural intensification strategies, even in soils of low agricultural suitability. [ABSTRACT FROM AUTHOR]

The low profitability of agricultural products in a globalized market context is causing the abandonment of less profitable agroforestry systems in Spain. This fact is implicated in a change in land use, increasing the forest area, which could alter the carbon stock in the soil. Thus, the objective of this study was to determine if the abandonment of rural areas and the change in land use has an impact on the soil organic carbon stock in agroforestry systems in southwestern Spain. Through historical aerial photographs and current satellite images, sites were identified where samples of abandoned agricultural soils in the 1950s were collected. They were compared with soil samples from adjacent locations whose agricultural activities continue to this day. After more than 60 years, the abandonment of agricultural activity is associated with a 54% increase in C concentration and 34.8% in soil organic carbon in the upper 30 cm of soil profiles. Therefore, the abandonment of agricultural land has influenced the carbon stock of this territory, becoming a carbon sink. [ABSTRACT FROM AUTHOR]

An inventory of floristic diversity and carbon stock in vegetation and soil (0-30 cm depth) of traditional agriculture-based agroforestry system (TAAF) along an elevation gradient (E1 <850 meters above mean sea level (amsl); E2 851-1150 meters amsl; E3 1151-1450 meters amsl; E4 1451-1750 meters amsl; E5 >1751 meters amsl) in the Western Himalaya was developed. A total of 56 species from 43 genera and 23 families were documented in TAAF, of which 57.14% of species comprised of trees and 42.86% of agriculture crops. The total biomass carbon stock of TAAF was 29.87 Mg C ha-1. The contributions of crops, forest trees and fruit trees to total biomass carbon were 22.84%, 42.31% and 34.85%, respectively. The total carbon stock (vegetation and soil) was maximum at E4 (92.64 C Mg C ha-1) which was at par with E3 and E5. The soil organic carbon stock accounted for 65-67% of the total carbon stock across different elevation zones. A positive correlation was found between woody diversity and vegetation carbon stock, whereas correlation between woody diversity and soil organic carbon stock was non-significant. Thus, TAAF of Western Himalayas have a significant role in climate change mitigation and conservation of native crops and tree biodiversity. [ABSTRACT FROM AUTHOR]

Several agroforestry systems prevail in different agro-ecological zones of Pakistan, and cover a remarkable area of 19.3 million hectares. They not only play an important role in slowing down CO2 emissions, but also contribute to mitigating climate change. However, in many regions, the relevant effect of agroforestry systems on overall carbon (C) stock and their reliance on various factors are quite unidentified. This study was planned to assess the biomass accumulation and C stocks of different commonly practiced agroforestry systems (boundary, bund, scattered, agri-horticulture) and their constituent land use types (tree + cropland) through a non-destructive approach (allometric equations) in a semi-arid region of Punjab, Pakistan. The results showed that the highest plant biomass (87.12 t ha−1) increased by 46%, 17%, 78%, and 339%, and C stock (42.77 t ha−1) increased by 49.51%, 20%, 82%, and 361% in the boundary planting system compared to the bund, scattered, agri-horti and sole cropland, respectively. The soil organic carbon (SOC) stock at all three depths, 0–15 cm, 15–30 cm & 30–45 cm, was found in the following order: boundary planting system > bund planting system > agri-horti system > scattered planting system > agricultural system, with a maximum in the boundary planting system and minimum in the sole cropping system at all three depths. Overall, the total C stock of the ecosystem’s vegetation + soil C (0–30 cm) in the forested area was 275 t ha−1, equating to 37 t ha−1 in the agricultural system alone. Our results highlighted that agroforestry systems have the highest potential for C sequestration. We suggest that research and investment in agroforestry systems can be a successful way for Pakistan to achieve some of its climate change mitigation goals.

Due to higher atmospheric greenhouse gasses concentrations, global warming is undoubtedly the most critical environmental issue that needs an immediate solution. Agroforestry has attained worldwide recognition to cope with this global problem due to its greater potential to sequester atmospheric carbon dioxide along with other ecosystem services, including food security. However, quantitative information about the biomass and carbon sequestration in poplar-maize agroforestry systems is not available in semi-arid climatic zones in Pakistan. The current study was carried out to evaluate the vegetation biomass and carbon stocks under three poplar-maize agroforestry planting patterns under semi-arid climatic conditions in a subdivision Jaranwala, District Faisalabad, Pakistan. The data was collected in three agroforestry patterns like; A (192 trees ha−1), B (255 trees ha−1), and C (296 trees ha−1). Allometric equations were used to estimate the biomass and carbon stock in plant species. Results showed that the poplar tree carbon stock among three planting patterns was significantly different, with maximum carbon stock of 35.62 t ha−1 in pattern C, and it was 8% and 33.5% greater than the carbon stock of pattern B and pattern A, respectively. The maximum aboveground biomass assimilated by maize crop was (11.95 t ha−1) in pattern B, and it was 10.3% and 3.6% greater than pattern A and pattern C, respectively. The grain yield was highest in pattern A as compared to the other two patterns. Additionally, the maximum soil carbon stock in soil was estimated (22.72 t ha-1) in pattern C, at 0-15 cm depth, while it was 13.42% and 6.61% greater than pattern A and pattern B, respectively. In conclusion, the findings of this study suggested that pattern C with maximum biomass production and carbon stocks is the optimum poplar maize planting pattern in requisites of both financial and environmental benefits in the form of carbon sequestration. [ABSTRACT FROM AUTHOR]

Alnus acuminata Kunth. (alnus) is widely used in agroforestry systems across the globe and is believed to provide multiple ecosystem services; however, evidence is lacking in agroforestry literature to support the perceived benefits, particularly in Rwanda. To understand carbon sequestration potential and other benefits of alnus, a household survey, tree inventory and destructive sampling were conducted in north-western Rwanda. Over 75% of the respondents had alnus trees in their farms. The trees provide stakes for climbing beans, firewood and timber. They also improve soil fertility and control soil erosion. Farmers had between 130 and 161 alnus trees per hectare with an average height of 7.7 ± 0.59 m and diameter at breast height of 16.3 ± 1.39 cm. The largest biomass proportion was found in stems (70.5%) while branches and leaves stock about 16.5 and 13% of the total biomass, respectively. At farm level, aboveground biomass of alnus trees was estimated to be 27.2 ± 0.7 Mg ha−1 representing 13.6 Mg of carbon (C) per hectare. Biomass carbon increased with tree size, from 7.1 ± 0.2 Mg C ha−1 in 3 years old trees to 34.4 ± 2.2 Mg C ha−1 in 10 years old trees. The converse was observed with elevation; biomass carbon decreased with increasing elevation from 21.4 ± 1.29 Mg C ha−1 at low (2011–2110 m) to 9.6 ± 0.75 Mg C ha−1 in the high elevation (> 2510 m). In conclusion, alnus agroforestry significantly contributes to carbon sequestration, although the magnitude of these benefits varies with tree age and elevation. Planting alnus trees on farms can meet local needs for stakes for climbing beans, wood and soil fertility improvement, as well as the global need for regulation of climate change. [ABSTRACT FROM AUTHOR]

Greenhouse gas emissions from human activities are the cause of the greenhouse effect, which influences climate change, causing the average temperature on the surface of the Earth to rise and many other problems. The United Nations Framework Convention on Climate Change (UNFCCC) is a global initiative that addresses global warming and later, there was an agreement . The Kyoto Protocol seeks cooperation to reduce greenhouse gas emissions. The assessment of carbon capture and carbon offset is another way to reduce GHG emissions in the agroforest system in Laplae District, Uttaradit Province. This study is on the estimation of carbon offsets in agroforestry in Laplae District, Uttaradit Province, with a voluntary carbon market value of 39.6398 USD per ha or 2,946.93 Baht per ha. It was found that the amount of carbon offset value of fruit trees in agroforestry system in Laplae District, Uttaradit Province was the highest in Lansium parasiticum (Lansium domesticum Corr.) at 89.3010 USD per ha or 2,946.93 Baht / ha (471.51 Baht per rai).

Agroforestry has great potential for carbon (C) sequestration among different land uses of the Himalayan region, India. However, our knowledge of C sequestration in particular, agroforestry system around the world is poor. Therefore, we conducted a study to understand biomass accumulation and carbon allocation in different components of the agroforestry system. The highest stem biomass was recorded in Eucalyptus tereticornis (69.43 ± 0.90 Mg ha-1), branch biomass in Populus deltoids (5.04 ± 0.35 Mg ha-1), leaf biomass also in P. deltoids (2.21 ± 0.12 Mg ha-1), and root biomass in Albizia procera (14.01 ± 0.44 Mg ha-1). The highest (81.01%) C allocation was recorded in the stem of Toona ciliate, branch of P. deltoids (5.73%), leaves of E. tereticornis (2.93%) and root of Anthocephalus cadamba (16.83%). The highest CO2 mitigation (160.5 ± 2.55 Mg CO2 ha-1) and C sequestration (45.33 ± 0.60 Mg ha-1) were recorded in E. tereticornis. The highest wheat crop biomass (11.85 ± 0.23 Mg ha-1) and C stock (3.59 ± 0.05 Mg ha-1) were recorded in P. deltiodes. However, soil carbon stock was recorded in E. tereticornis (37.5 ± 3.52 Mg ha-1). Thus, trees on farmlands with crops are suitable for biomass production and C allocation in different components under changing climatic scenarios. [ABSTRACT FROM AUTHOR]

The current study was conducted to estimate the carbon (C) storage status of agroforestry systems, via a non-destructive strategy. A total of 75 plots (0.405 ha each) were selected by adopting a lottery method of random sampling for C stock estimations for soil, trees and crops in the Mandi-Bahauddin district, Punjab, Pakistan. Results revealed that the existing number of trees in selected farm plots varied from 25 to 30 trees/ha. Total mean tree carbon stock ranged from 9.97 to 133 Mg C ha−1, between 5–10 km away from the brick kilns in the study area. The decreasing order in terms of carbon storage potential of trees was Eucalyptus camaldulensis > Syzygium cumin > Popolus ciliata > Acacia nilotica > Ziziphus manritiana > Citrus sinensis > Azadirachtta Indica > Delbergia sisso > Bambusa vulgaris > Melia azadarach > Morus alba. Average soil carbon pools ranged from 10.3–12.5 Mg C ha−1 in the study area. Meanwhile, maximum C stock for wheat (2.08 × 106 Mg C) and rice (1.97 × 106 Mg C) was recorded in the cultivated area of Tehsil Mandi-Bahauddin. The entire ecosystem of the study area had an estimated woody vegetation carbon stock of 68.5 Mg C ha−1 and a soil carbon stock of 10.7 Mg C ha−1. These results highlight that climate-smart agriculture has great potential to lock up more carbon and help in the reduction of CO2 emissions to the atmosphere, and can be further used in planning policies for executing tree planting agendas on cultivated lands and for planning future carbon sequestration ventures in Pakistan.

The present study was conducted to compare the carbon sequestration potential, carbon emission, and cost benefit ratio of wheat varieties under open farming and poplar based agroforestry system. Field experiment was carried out at Agroforestry Research Center, G.B. Pant University of Agriculture and Technology, Pantnagar, India. The experimental plots were laid out in randomized block design (RBD) with two associate farming systems, open farming and poplar based agroforestry system, and four varieties of wheat, PBW-373, PBW-343, UP-262 and VL-907, with three replications. Above ground, below ground and total biomass, carbon stock, carbon sequestration, carbon credit, and carbon price all were significantly higher in wheat under poplar based agroforestry system (22.949, 2.753, 25.702, 11.460, 42.049 tonnes/ha, 40.049 and $744.270/ha) while net emission was significantly lower (−40.998 tonnes/ha) in two years, as compared to open farming (−37.263 tonnes/ha). Net return and Benefit Cost (B:C) ratio ($876.29/ha and 1.83) was also higher in agroforestry system than open farming system ($700.91/ha and 1.82). Among wheat varieties VL-907 recorded maximum net return and B:C ratio ($914.52/ha and 2.12) followed by PBW-343. [ABSTRACT FROM AUTHOR]

A field experiment was carried out to estimate biomass production, carbon stock and economic performance of Melia dubia under agri-silviculture system. The grain yields of pearl millet were significantly lower under M. dubia plantations (852-2920 kg ha-1) compared to sole crop without trees (3182 kg ha-1). Maximum biomass production of 6-yr-old M. dubia planting was recorded as 74.9 t ha-1 and minimum was 53.9 t ha-1. Contribution of M. dubia to total carbon stock and carbon dioxide sequestration was observed in the range 27.0-37.5 and 98.9-137.5 t ha-1 respectively. The net returns obtained from the tree were lowest (116,134-182,885 ha-1) when compared to the tree + crop (139,953-209,650 ha-1) system. The lowest net returns were observed in sole crop without trees (27,351 ha-1). Thus, M. dubia plantations contributed towards higher carbon dioxide sequestration and economic performance of agri-silviculture system was higher compared to sole crop. [ABSTRACT FROM AUTHOR]

Parkland agroforestry can store carbon and conserves biodiversity. Studying the relationship between carbon stock and biodiversity is crucial in understanding the tradeoff between major benefits of the parkland agroforestry system, and way to achieve the optimum balance between them. Therefore, this study aims to estimate the biomass and SOC in community type, and explore the relationship between carbon stocks and diversity. Tree with DBH (Diameter at breast height) > 2 cm was measured and species were identified in 75 (50x100m) randomly located plots. Species richness (S), Species evenness (J), Shannon-weiner diversity index (H') and Simpson diversity index (D) of the study area were 3.02, 0.81, 0.82 and 0.46 respectively. Similarly, the mean aboveground (AGC), belowground (BGC) and soil organic (SOC) carbon were 7.9, 3.03 and 20.07 Mg C ha-1 respectively. There was a liner and weakly significant correlation between AGC and tree J in plant community 2 (r = −0.558, P < 0.05) and 3 (r = −0.451, P < 0.05), and there was a negative correlation between J (r = −0.552, P < 0.05), D (r = −0.646, P < 0.05) and H' (r = −0.643, P < 0.05) with TC (Total carbon) in plant community 2. However, there was no significant relationship between J, D and H' with TC in plant communities 1 and 3. In these parkland agroforestry systems, the relationship tree species diversity with AGC and TC appeared to be highly variable; it indicates that parkland agroforestry systems have significantly improved the vegetation and SOC. However, forest carbon enhancement cannot assure the biodiversity conservation and promotion in a parkland agroforestry system. [ABSTRACT FROM AUTHOR]

This study was carried out in Traditional and Innovative Cocoa Agroforestry Systems (CAS) of the Central Region of Cameroon. The aim was to assess carbon sequestration potential and tree species richness of each CAS. Sampling was done in 82 plots of 25 × 25 m in Traditional and Innovative CAS of different age classes. In addition to cocoa trees, associated trees with dbh ≥10 cm were inventoried. Aboveground biomass was evaluated using the non-destructive method for cocoa trees and woody plants and destructive method for herbaceous plants, litter and roots. A total of 5843 individuals belonging to 25 families, 35 genera and 39 species were inventoried in these CAS. The most represented species were Elaies guineensis and Carica papaya in Innovative CAS, Citrus sinensis and Dacryodes edulis in Traditional CAS. In the study area, species richness found in all Traditional and Innovative CAS sampled was respectively 38 and 6. Basal area and shade trees density of Innovative CAS were respectively 4.7 m2.ha−1, and 21 trees.ha−1 against 38, 13.7 m2.ha−1 and 84 trees.ha−1 in Traditional CAS. The total carbon stock of Traditional CAS represented three-times more (138.1 t C.ha−1) that of Innovative CAS (46.9 t C.ha−1). Carbon stock increased significantly with age of Innovative CAS whereas in Traditional CAS, there were no significant differences. Innovative CAS are less preferable as a basic model in the REDD+ process compared to Traditional CAS in carbon storage and biodiversity conservation contexts. [ABSTRACT FROM AUTHOR]

Greenhouse gas emissions from human activities are the cause of the greenhouse effect, which influences climate change, causing the average temperature on the surface of the Earth to rise and many other problems. The United Nations Framework Convention on Climate Change (UNFCCC) is a global initiative that addresses global warming and later, there was an agreement. The Kyoto Protocol seeks cooperation to reduce greenhouse gas emissions. The assessment of carbon capture and carbon offset is another way to reduce GHG emissions in the agroforest system in Laplae District, Uttaradit Province. This study is on the estimation of carbon offsets in agroforestry in Laplae District, Uttaradit Province, with a voluntary carbon market value of 39.6398 USD per ha or 2,946.93 Baht per ha. It was found that the amount of carbon offset value of fruit trees in agroforestry system in Laplae District, Uttaradit Province was the highest in Lansium parasiticum (Lansium domesticum Corr.) at 89.3010 USD per ha or 2,946.93 Baht / ha (471.51 Baht per rai). [ABSTRACT FROM AUTHOR]

This article argues that the practice of agroforestry provides ecological contributions to the smallholder farmers cultivating in the watershed areas. Specifically, this farming system provides contribution to carbon sequestration potential of the woody perennials and the biodiversity conservation of the other components of the system.  This argument is based on the research conducted in Molawin-Dampalit Sub-Watershed, Mt. Makiling Forest Reserve in the Philippines and Way Betung Watershed in Indonesia. The research involved an interview session of 106 and 261 smallholder farmers and an assessment of 27 and 14 agroforesty plots for carbon stock assessment and biodiversity assessment, respectively. Results indicated that the total carbon found among the crop components was 52.32 MgC/ha in Molawin-Dampalit Sub-Watershed­ and 244.26 MgC/ha in Way Betung Watershed­, which suggested the high carbon sequestration potential of the woody perennials and understory crops in an agroforestry system. The farm lots being cultivated by the smallholder farmers were found to contribute to biodiversity conservation having a moderate biodiversity index of 2.59 and 2.53, respectively. With these findings, promotion of desired agroforestry systems in suitable portions of the watershed areas should be intensified and heightened to contribute to ecological balance across the landscape. Agroforestry should always be an integral part of all initiatives toward ecological restoration with the cultivators/smallholder farmers as potential partners. The agroforestry system should consider all the technical and socioeconomic considerations toward having diverse components and ensure food security among the smallholder farmers throughout the year.