Search

Societal Impact Statement Summary Strictly protected areas for nature conservation are a key policy to benefit biodiversity and climate change mitigation since reduced deforestation and ecosystem restoration enhance carbon stocks. However, there is controversy regarding their potential societal impacts, such as competition for land and food security. Here, we investigate the implications of protecting 30% and 50% of the global ice‐free land surface on the spatiotemporal dynamics of ecosystem carbon uptake and losses, agricultural land use and synergies with food production. The study provides insights into the role of protected areas on the global terrestrial carbon store, contributing to climate change mitigation and biodiversity conservation efforts. Agriculture and forestry use around half of the global ice‐free land and are major drivers of biodiversity loss. For this reason, the post‐2020 Global Biodiversity Framework of the Convention on Biological Diversity (CBD) targets at least 30% of protected global land by 2030. This study evaluates the impacts of different land‐use change scenarios on the storage of carbon in terrestrial ecosystems and trade‐offs and synergies in the global food production system by comparing a reference scenario with no additional protected area expansion targets and two scenarios with strict area‐based protection targets of 30% and 50% of the ice‐free land surface. A net global gain in carbon storage up to 110 PgC was projected for 2056–2060 in the protection scenarios compared to the reference scenario (equivalent to around 10 years of current global anthropogenic C emissions). However, regional disparities in carbon storage are large and include carbon losses in areas identified as having—at least on a decadal perspective—‘irrecoverable’ carbon. In the protection scenarios, cropland expansion in some regions is accompanied by intensification of production with an increase of up to 8% in the use of N fertiliser, which may lead to pollution and additional greenhouse gas emissions. [ABSTRACT FROM AUTHOR]

Mangroves play a vital role in the environment and contribute signific aptly to the well-being of coastal communities by providing goods and services. Unfortunately, the degradation and deforestation of mangroves has frequently occurred. Therefore, it is important to understand the vulnerability of mangroves and its impact on blue carbon storage for effective mangrove management and coastal planning. This study aims to assess the vulnerability of mangroves and its effect on blue carbon storage in the coral triangle region of Southeast Sulawesi, Indonesia. The vulnerability assessment included factors such as exposure, sensitivity, and adaptive capacity. Blue carbon storage was evaluated based on carbon stock in sediment, biomass, and total carbon stock in mangrove ecosystems in both protected and unprotected areas. The mangrove ecosystem in the protected area of Rawa Aopa Watumohai National (RAWN) Park showed lower vulnerability due to lower exposure, lower sensitivity, and higher adaptive capacity. On the other hand, mangrove ecosystems in unprotected areas such as Tinanggea (TNG), Kendari Bay (KDI), and Staring Bay (STR) exhibited moderate to high vulnerability due to higher exposure, sensitivity, and lower adaptive capacity. Mangroves in RAWN Park, which were less vulnerable, had higher blue carbon storage in sediment (381.64 tons C/ha), biomass (312.65 tons C/ha), and the entire ecosystem (706.76 tons C/ha). These values were significantly higher (p<0.05) compared to those in TNG (306.66 tons, 144.15 tons, and 448.37 tons C/ha, respectively), KDI (262.08 tons, 227.73 tons, and 470.76 tons C/ha, respectively), and STR (169.44 tons, 66.66 tons, and 253.27 tons C/ha, respectively). The high vulnerability of mangrove ecosystems resulted in reduced carbon storage in the coastal regions of Southeast Sulawesi. Therefore, efforts such as rehabilitation and restoration, legislation, and conservation should be prioritized to enhance blue carbon storage, and other ecosystem services provided by mangroves in the coral triangle region of Southeast Sulawesi. [ABSTRACT FROM AUTHOR]

CO2 capture technology has been widely used to reduce CO2 emissions, resulting in a variety of capture methods and materials. Among them, the more widely used is the chemical absorption method. However, the chemical absorption method has problems such as high energy consumption and slow absorption rate. In order to solve the above problems, we prepared an effective catalyst to improve the CO2 absorption rate. ZIF‐8 and hydrophilic ZIF‐8‐DA were prepared by in situ synthesis under ambient conditions. The catalytic effect of the hydration reaction of ZIF‐8 and ZIF‐8‐DA was tested using CO2 absorption regeneration experiments under aqueous and alkaline conditions, respectively. The results showed that the synthesized catalysts could significantly enhance the CO2 absorption in water and alkaline solution. The addition of 0.1 wt % of ZIF‐8 in alkaline solution increased the average CO2 absorption by 1.80–15.84 %, respectively, while the addition of 0.1 wt % of ZIF‐8‐DA increased the CO2 absorption by 7.01–25.36 %. In addition, both catalysts had excellent reusability and maintained high performance even after five absorption and regeneration cycles. Polymer dispersibility index (PDI) results showed that ZIF‐8‐DA dispersed more uniformly in aqueous solution. [ABSTRACT FROM AUTHOR]

Given the escalating issue of global climate change, it is imperative to comprehend and quantify the effects of land use change on carbon storage (CS), which pertains not only to the preservation of ecosystem functions but also directly influences the equilibrium and stability of the global carbon cycle. This study examines the correlation between CS and land use change, forecasts the future spatial distribution of CS, and offers a reference for the rational planning of watershed space. Focusing on the Bosten Lake Basin of Xinjiang in China, employing the land use simulation (PLUS) model and the integrated valuation of ecosystem services and trade-offs (InVEST) model to forecast the spatial distribution of carbon stocks across three developmental scenarios, while also examining the shift in the center of gravity of CS and the autocorrelation of their spatial distribution. The findings derived from the study are as follows: (1) From 1990 to 2020, the predominant land use type in the Bosten Lake Basin was grassland, while there was an upward trend in the areas of cropland, forest land, built-up land, and wetland, alongside a downward trend in the areas of grassland, water, and unused land. (2) In the long term, the regional CS exhibits an upward trend, with the most significant increase anticipated in the EPS scenario. Grassland constitutes the most extensive carbon reservoir in the Bosten Lake Basin, while wetlands exhibit the highest carbon sequestration potential. (3) The alteration in the center of gravity of CS is associated with the expansion or reduction of the major regional carbon reservoirs and types characterized by significant carbon sequestration potential. (4) In the long term, the spatial correlation of CS in the Bosten Lake Basin exhibits a consistent upward trend, with the most pronounced spatial correlation observed under EPS. [ABSTRACT FROM AUTHOR]

Historic gardens contain a greater number and variety of ancient trees, which are older, have unique forms, and larger volumes. These trees hold significant value in both natural ecosystems and cultural heritage. However, current research on the carbon sequestration value of ancient and non-ancient trees in historical gardens is relatively lacking. Based on the unique morphology and carbon storage estimation needs of ancient trees in historic gardens, this paper proposes a morphology-based point cloud single-tree segmentation method. This method can precisely extract the morphological structures of various tree species and accurately estimate their carbon storage. From the perspective of carbon sequestration, it evaluates the correlation between the structural characteristics and carbon storage of trees in historic gardens, as well as the potential changes in their carbon storage capacity.Using the Jing Yi Park's Jian Xin Pavilions in Fragrant Hills Park as a case study, this method was applied to extract structural indicators of 116 ancient and non-ancient trees. The total carbon storage was found to be 19,171.13 kg, with an average carbon storage of 165.27 kg per tree. Among these, ancient trees accounted for 13,178.32 kg, or 68.74% of the total carbon storage. The study revealed that the correlation between tree age and carbon storage varied by species, and there were significant positive correlations between carbon storage and tree height, DBH, and canopy volume. Notably, there was a significant linear growth trend between DBH, canopy volume, and carbon storage. By 2030, the total carbon storage is projected to increase to 21,924.96 kg, with an annual average increase of 393.40 kg, representing a growth rate of 14.4%.The results indicate that studying the correlation between structural characteristics and carbon storage of aged trees in historical gardens can shed light on the important role of trees in sustainable carbon sequestration. The precise extraction of tree information through 3D digital technology and the prediction of carbon storage potential not only offer new perspectives for the conservation of cultural heritage in historical gardens, urban microclimate planning and design, and spatial management of carbon sinks and emissions but also have significant value for promoting the scientific management and protection of urban green spaces. [ABSTRACT FROM AUTHOR]

This study aims to analyze the spatiotemporal land-use patterns in the forest-farmland ecotone of ecologically sensitive areas, together with their effects on carbon storage. Effective approaches were proposed to enhance carbon sequestration. The PLUS-InVEST model was also utilized along with the Geodetector. A systematic investigation was implemented to assess the impacts of spatiotemporal land-use patterns from 1990 to 2030 on the carbon storage of terrestrial ecosystems in the forest-farmland ecotone of the Greater Khingan Mountains. Additionally, the driving factors were determined responsible for the changes in carbon storage. The results were summarized as follows:1) The land-use types that experienced the largest area of transition were forests, grasslands, and croplands between 1990 and 2020. Notably, the highest conversion rates were observed in bare land (75.00%), water bodies (61.33%), and impervious surfaces (61.15%). The forest and grassland areas were expected to significantly increase under natural conservation and ecological protection scenarios by 2030. Furthermore, the areas of cropland and grassland were projected to increase under the cropland protection scenario, while the forest areas decreased greatly. The area of cropland declined in the urban development scenario, due to the urban expansion and land-use changes. 2) The total carbon storage in the study area exhibited a general downward trend, decreasing by 6.08×107 t over the past two decades. The largest decrease in carbon storage occurred in forests, followed by grasslands and croplands. In contrast, there was the increasing carbon storage in the impervious surfaces. The carbon storage in 2020 was compared to the projections for 2030. The total carbon storage for 2030 was projected as 1.555×109, 1.562×109, 1.562×109, and 1.561×109 t, respectively, under the four scenarios of cultivated land protection, natural development, ecological protection, urban development, respectively. All scenarios indicated an increase in the total carbon storage, except for the cropland protection. Different scenarios of land-use management varied greatly in the potential of overall carbon sequestration at regional. Natural conservation and ecological protection share the most promise to increase carbon storage. 3) The elevation, population density, and slope were identified as the primary driving factors behind the spatial differentiation of carbon storage in the study area. Among them, there was the most significant interaction between slope and population density, with an interaction strength of 0.74. There was a much stronger impact of multiple driving factors on carbon storage, compared with any single factor. Multifactorial approaches were also required to analyze the spatial dynamics of carbon storage. Therefore, the carbon dynamics of the ecosystem depended mainly on the land-use transitions in the ecotonal regions, like forest-farmland interfaces. The important implications were gained to develop the data-driven strategies of land management. Carbon sinks were also optimized to support biodiversity conservation. Overall, the significant role of targeted interventions was highlighted for the land-use changes in carbon storage and sequestration at regional scales. The findings can greatly contribute to ecosystem management and climate adaptation in the Greater Khingan Mountains. [ABSTRACT FROM AUTHOR]

Globally soil fauna consumes about half of the annual litter fall. An important question is how this activity affects the mineralization and stabilization of soil organic matter. Here we explore how much earthworms influence the decomposition of litter and the stabilization of organic matter in soils at various stages of soil development (various soil age) that are supplied with litter of various quality. The laboratory mesocosms consist of litter and a mineral layer. The mineral soils originated either from spruce and alder stands growing either on post-mining soils (young soils after about 50 years of soil development) or from soils in the close vicinity of post-mining sites (mature soils with several thousand years of soil development), the mineral soils were supplied by matching litter, the mesocosms were either without earthworms or with two individuals of earthworms. The earthworm effect showed statistically significant interaction with tree and soil age: earthworms increased respiration in both alder soils, but in spruce soils only in mature soil, while the opposite was true for young soils. In general, earthworms promoted the removal of litter from the soil surface and carbon accumulation in the mineral soil. Earthworms promoted C storage in mineral associated organic matter (MAOM), especially in young spruce soils. The results suggested that earthworm activity in young soils which were far from saturation (spruce on post-mining soils) promotes soil C sequestration by promoting C storage in MAOM, whereas earthworms in mature, C saturated soils tend to promote soil respiration. More broadly, earthworms effect on soil depends on stage of soil C saturation. [ABSTRACT FROM AUTHOR]

Given global changes and the loss of ecosystem services, it is crucial to assess the effects of landscape characteristics on ecosystem service distribution for sustainable territory management. Italy's diverse landscapes present an opportunity to study this effect. This study identified optimal elevation and landscape heterogeneity ranges that optimize four ecosystem service provisions across Italy. We mapped ecosystem services across Italy using generalized additive models (GAM) to assess their spatial relationships with landscape characteristics, such as elevation and heterogeneity, and specifically, we identified their optimal values concerning elevation and landscape heterogeneity. In Italy, agricultural production is concentrated at low altitudes, like the Po Valley, while the pre-Alps and Apennines regions at intermediate altitudes provide ecosystem services like timber production and carbon storage. However, elevation gradient and landscape heterogeneity significantly influence trade-offs between agricultural production and these services. The optimal altitude for timber production, carbon storage, and habitat quality is around 1500 m above sea level, while agricultural production peaks at the lowest and highest elevations. Our study shows landscape features' significant role in supporting specific ecosystem services. This information is crucial for guiding land use planning and management decisions, especially under global land use and climate change. [ABSTRACT FROM AUTHOR]

Land use and land cover change (LUCC) significantly influences the dynamics of carbon storage in thin terrestrial ecosystems. Investigating the interplay between land use alterations and carbon sequestration is crucial for refining regional land use configurations, sustaining the regional carbon balance, and augmenting regional carbon storage. Using land use data from the Pearl River Delta Urban Agglomeration (PRDUA) from 2010 to 2020, this study employed PLUS-InVEST models to analyze the spatiotemporal dynamics of land use and carbon storage. Projections for the years 2030, 2040, and 2050 were performed under three distinct developmental scenarios, namely, natural development (ND), city priority development (CPD), and ecological protection development (EPD), to forecast changes in land use and carbon storage. The geographic detector model was leveraged to dissect the determinants of the spatial and temporal variability of carbon storage, offering pertinent recommendations. The results showed that (1) during 2010–2020, the carbon storage in the PRDUA showed a decreasing trend, with a total decrease of 9.52 × 106 Mg, and the spatial distribution of carbon density in the urban agglomeration was imbalanced and showed an overall trend in increasing from the center to the periphery. (2) Clear differences in carbon storage were observed among the three development scenarios of the PRDUA between 2030 and 2050. Only the EPD scenario achieved an increase in carbon storage of 1.10 × 106 Mg, and it was the scenario with the greatest potential for carbon sequestration. (3) Among the drivers of the evolution of spatial land use patterns, population, the normalized difference vegetation index (NDVI), and distance to the railway had the greatest influence on LUCC. (4) The annual average temperature, annual average rainfall, and GDP exerted a significant influence on the spatiotemporal dynamics of carbon storage in the PRDUA, and the interactions between the 15 drivers and changes in carbon storage predominantly manifested as nonlinear and double-factor enhancements. The results provide a theoretical basis for future spatial planning and achieving carbon neutrality in the PRDUA. [ABSTRACT FROM AUTHOR]

[Objective] To elucidate the differences in soil nutrient status and carbon sequestration capabilities among various vegetation types. Methods］ This study focused on six representative vegetation types in the southern mountainous areas of Ningxia: pure tree plantations (Prunus sibirica I. and Robinia pseudoacacia L.), mixed tree plantations {Robinia pseudoacacia 1八+ Prunus sibirica LJ, mixed tree and shrub plantations (Prunus davidiana (Carriere) Fran ch. + Cara g ana korshinskii Kom.), shrub plantations (Hippo- phae rhamnoides L.), and grasslands. Through a combination of field surveys and laboratory analyses, we investigated the ecological stoichiometry and carbon storage of the ()一1()() cm soil layer across these vegetation types. _Results] C, N, and I〉contents varied between 19.74〜35.11 g/kg, 1.74〜3.19 g/kg, and 1.6()〜 1.69 g/kg, respectively, with both C and N contents decreasing with increasing soil depth. Furthermore, the C and N contents in the Robinia pseudoacacia I,.+ Prunus sibirica I八 were significantly higher than those in other types up to a depth of 80 cm, while P content showed no significant differences among types or soil layers. Soil C: N ratio were significantly lower in Robinia pseudoacacia I"+ Prunus sibirica 1" within the ()-- 4() cm layer, with no significant differences observed among vegetation types from 4()--1()() cm. Soil C: I〉 and N: I〉ratios were significantly influenced by vegetation type, showing the highest values in the mixed forest of Robinia pseudoacacia L.and Prunus sibirica I.; Soil C: N of these vegetation types showed no significant differences among layers • Soil C 5 P and N: I〉ratios were decreased with soil depth. Soil carbon storage ()--1()() cm varied between 5.98〜38.21 t/hm2 and had significant differences among these types, with all of them showed the order: Robinia pseudoacacia L. + Prunus sibirica I,•二》Robinia pseudoacacia 1"二》 Prunus sibirica L. > Hippophae rhamnoides I八 > Prunus davidiana (.Carriere) Franch.+ Caragana kor- shinskii Kom. grassland. Tn addition, the mixed plantation of Robinia pseudoacacia I八 and Prunus sibirica L. had significantly higher carbon storage than other vegetation types. Conclusion] Tree and shrub lands in the southern Ningxia mountainous region have superior nutrient cycling patterns and carbon sequestration capabilities compared to grasslands, with the mixed planting model of Robinia pseudoacacia I "and Prunus sibirica I. being the most effective. Therefore, creating mixed plantations is an important approach to enhance soil carbon sequestration capacity. [ABSTRACT FROM AUTHOR]

Lowering the adverse effects of climate change requires advanced methods to decrease atmospheric levels of carbon dioxide. Here, we review the use of carbonic anhydrase nanobiocatalysts for carbon dioxide sequestration, with emphasis on inorganic, organic, and polymeric nanomaterials. Inorganic nanomaterials include metal and metal oxide, carbon-based, and nonmetallic nanomaterials. Hybrid nanomaterials comprise metal–organic frameworks and nanoflowers. Factors influencing the properties of nanobiocatalysts such as interactions between carbonic anhydrase and the nanoscale support are presented. The immobilization of carbonic anhydrase onto nanomaterials overcomes the limitations associated with its free form, such as short shelf life, challenging separation, and poor reusability. We discuss the potential for large-scale applications. [ABSTRACT FROM AUTHOR]

The savanna-type xerophytic forests of Neltuma caldenia are located bordering the Argentine humid pampas and have an area of 3 million hectares. Currently, the main economic activity is cattle breeding. The contribution of the livestock sector to greenhouse gas emissions is a cause of international concern. Agroforestry is presented as an important carbon sequestration strategy. The objective of the following work was to address, through modeling and field data, a carbon balance based on forest cover for a silvopastoral system in native forest. To do this, the herbaceous stratum was measured in different forest covers, weighted by a livestock use factor and by the estimated emissions from cattle in the region. The evolution of forest stand parameters was modeled using growth data obtained from dendrometers distributed at different tree densities. The projected values of the forest flight show that from 2.4 m2 ha−1 of basal area (BA), the captures of eq-CO2 in the total tree biomass exceed the emissions of livestock. If the capture of C by the stem biomass is considered, the compensation point, using the maximum emission category (lactating cow), is reached when the forest has a capture rate of 0.67 Mg C ha−1 year−1, a stock of 38.86 Mg C ha−1 of total biomass and a density of 17.5 m2 ha−1 of BA. It is concluded that managing the N. caldenia forest with adequate silvicultural management would allow the production of "carbon neutral meat." The balance did not consider the capture of C on the ground. [ABSTRACT FROM AUTHOR]

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

Land use imbalances are a critical driving factor contributing to regional disparities in carbon storage (CS). As a significant component of China's Yangtze River Economic Belt, Hunan Province has undergone substantial shifts in land use types, resulting in an uneven distribution of ecosystem CS and sequestration capacity. Therefore, within the framework of the "dual carbon" strategy, examining the effects of land use changes driven by regional resource imbalances on CS holds practical importance for advancing regional sustainable development. This study focuses on Hunan Province, utilizing the PLUS-InVEST model to assess the spatiotemporal evolution of CS under land use changes from 1990 to 2020. Additionally, multiple scenario-based development modes were employed to predict county-level CS. The results indicate the following: (1) From 1990 to 2020, Hunan Province experienced continuous urban expansion, with forest land and cultivated land, which are core ecological land types, being converted into construction land. (2) Over these 30 years, the province's total CS increased by 2.47 × 108 t, with significant spatial differentiation. High-value zones were concentrated in bands along the province's borders, while lower values were observed in the central and northern regions. The highest CS values were recorded in forested areas at the province's periphery, whereas the lowest values were observed in the northern water bodies. (3) The scenario-based predictions revealed notable differences, with the ecological protection scenario demonstrating a substantial carbon sink effect. By prioritizing forest and cultivated land, CS could be maximized. This research provides valuable insights for enhancing CS and optimizing land use structures in regions facing resource imbalances. [ABSTRACT FROM AUTHOR]

Assessing the impacts of land-use management on the specific ecosystem services (ESs) is very important in eco-fragile regions. This study simulates the combined effects of future land-use management on ESs typical in the Chinese Loess Plateau to examine the different ecological effects of a climate adaptation scenario versus two reference scenarios (agroforestry development and business-as-usual). We integrated spatially explicit land-use modeling and biophysical simulation methods to map ecosystem service provisioning for food production, carbon storage, water conservation, and soil conservation, supported by multiple data sources. Based on our results, the BAU and agroforestry development scenarios all show declining trends in service provision compared to the base period. Conversely, climate adaptation strategies can synergistically increase existing ecosystem service provision. We believe that land management oriented towards climate resilience strategies can promote ecological restoration and ESs supply synergically in the Loess Plateau region and benefit regional. At the same time, we recommend that further attention is paid to the differentiated ecological and environmental conditions of different sub-basins. Moreover, regional agroforestry complex system models could promote local agriculture development and increase of ESs supply. Our research methods and results can support the local integrated land-use management in the Loess Plateau region, and provide useful references of policy-making for land-use issue in similar ecologically fragile areas. [ABSTRACT FROM AUTHOR]

The evolution of land use/land cover (LULC) patterns significantly influences the dynamics of carbon storage (CS) in terrestrial ecosystems. In response to future environmental changes, however, most studies fail to synthesize the effects of policy pathways and evolving core driving factors on LULC projections. This article presents a systematic framework to assess the dynamic response of the terrestrial ecosystem CS to future LULC changes. After investigating spatiotemporal characteristics and driving forces, policy effects and future core driving factors are integrated into the improved Markov–future land use simulation model to project LULC across diverse scenarios. Then the Integrated Valuation of Ecosystem Service and Tradeoff model is coupled to explore CS dynamics with LULC changes. This framework was applied to the Weihe River Basin. The finding reveals that the overall proportion of cultivated land, forestland and grassland is above 85% and is significantly influenced by policy effects. Precipitation, temperature, population density and gross domestic product are core driving factors of LULC changes. Equal-interval projection is a viable approach to mitigate policy impacts by avoiding error propagation while coupling future core driving factors to improve LULC projection accuracy. Ecological protection should be emphasized in the future. The rate of increase in CS is 1.25 and 1.63 times higher than the historical trend and economic development scenario, respectively, which alleviates carbon loss from the expansion of built-up land. This research provides a valuable reference for future insight and optimization of ecological conservation strategies. [ABSTRACT FROM AUTHOR]

As an indispensable part of the marine ecosystem, the health status of the sea affects the stability and enhancement of the overall ecological function of the ocean. Clarifying the future land and sea utilization pattern and the impacts on the carbon stocks of island ecosystems is of great scientific value for maintaining marine ecological balance and promoting the sustainable development of the island ecosystem. Using Pingtan Island as an example, we simulate and predict changes in island utilization and carbon stocks for historical periods and multiple scenarios in 2030 via the PLUS-InVEST model and the marine biological carbon sink accounting method. The results show that (1) from 2006 to 2022, the carbon stock of Pingtan Island decreased by 7.218 × 104 t, resulting in a cumulative economic loss of approximately USD 13.35 million; furthermore, from 2014 to 2018, the implementation of many reclamation and land reclamation projects led to a severe carbon stock loss of 6.634 × 104 t. (2) By 2030, the projected carbon stock under the three different policy scenarios will be greater than that in 2022. The highest carbon stock of 595.373 × 104 t will be found in the ecological protection scenario (EPS), which will be 4.270 × 104 t more than that in 2022. With the strong carbon sequestration effect of the ocean, the total social carbon cost due to changes in island utilization is projected to decrease in 2030. (3) The factors driving changes in island utilization will vary in the design of different future scenarios. The results of this study not only provide a solid scientific basis for the sustainable development of island areas, but they also highlight the unique contribution of islands in the field of marine ecological conservation and carbon management, contributing to the realization of the dual-carbon goal. [ABSTRACT FROM AUTHOR]

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

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

This study developed a forest management plan model using reinforcement learning (Q-learning) to optimize both the economic and ecological functions of forests. Management objectives for national forests were established, and forest conditions were analyzed using GIS spatial data and administrative records. A 60-year forest management plan was formulated to predict timber production and management performance across different regions and time periods. Our analysis revealed that Scenario 3 (Carbon Storage Priority) demonstrated the highest economic value, starting at approximately KRW 576.2 billion in the initial period and escalating to KRW 775.7 billion over six 10-year periods, totaling 60 years. In addition to its economic performance, Scenario 3 effectively improved forest age class structure and ensured a stable timber supply, making it the most balanced approach for sustainable forest management. By focusing on carbon storage as a key management goal, this approach highlights the potential for achieving both economic and environmental benefits concurrently. These results suggest that reinforcement learning is a powerful tool for developing long-term forest management strategies that address multiple objectives, including economic viability, ecological sustainability, and resource optimization. [ABSTRACT FROM AUTHOR]

Background: Wood Harvesting and Storage (WHS) is a form of Biomass Carbon Removal and Storage (BiCRS) that utilizes a combined natural and engineered process to harvest woody biomass and put it into long term storage, most frequently in the form of subterranean burial. This paper aims to quantify the availability of woody biomass for the purposes of WHS in the continental United States using a carbon cycle modeling approach. Using a regional version of the VEGAS terrestrial carbon cycle model at 10 km resolution, this paper calculates the annual woody net primary production in the continental United States. It then applies a series of constraints to exclude woody biomass that is unavailable for WHS. These constraints include fine woody biomass, current land use, current wood utilization, land conservation, and topographical limitations. These results were then split into state by state and regional totals. Results: In total, the model projects the continental United States could produce 1,274 MtCO2e (CO2 equivalent) worth of coarse woody biomass annually in a scenario with no anthropogenic land use or constraints. In a scenario with anthropogenic land use and constraints on wood availability, the model projects that 415 MtCO2e of coarse woody biomass is available for WHS annually. This is enough to offset 8.5% of the United States' 2020 greenhouse gas emissions. Of this potential, 20 MtCO2e is from the Pacific region, 77 MtCO2e is from the Western Interior, 91 MtCO2e is from the Northeast region, and 228 MtCO2e is from the Southeast region. Conclusion: There is enough coarse woody biomass available in the continental United States to make WHS a viable form of carbon removal and storage in the country. There is coarse woody biomass available across the continental United States. All four primary regions analyzed have enough coarse woody biomass available to justify investment in WHS projects. [ABSTRACT FROM AUTHOR]

Rising anthropogenic carbon emissions have dire environmental consequences, necessitating remediative approaches, which includes use of solid sorbents. Here, aminopolymers (poly(ethylene imine) (PEI) and poly(propylene imine) (PPI)) are supported within solid mesoporous MIL‐101(Cr) to examine effects of support defect density on aminopolymer‐MOF interactions for CO2 uptake and stability during uptake‐regeneration cycles. Using simulated flue gas (10 % CO2 in He), MIL‐101(Cr)‐ρhigh (higher defect density) shows 33 % higher uptake capacity per gram adsorbent than MIL‐101(Cr)‐ρlow (lower defect density) at 308 K, consistent with increased availability of undercoordinated Cr adsorption sites at missing linker defects. Increasing aminopolymer weight loadings (10–50 wt.%) within MIL‐101(Cr)‐ρlow and MIL‐101(Cr)‐ρhigh increases amine efficiencies and CO2 uptake capacities relative to bare MOFs, though both incur CO2 diffusion limitations through confined, viscous polymer phases at higher (40–50 wt.%) loadings. Benchmarked against SBA‐15, lower polymer packing densities (PPI>PEI), weaker and less abundant van der Waals interactions between aminopolymers and pore walls, and open framework topology increase amine efficiencies. Interactions between amines and Cr defect sites incur amine efficiency losses but grant higher thermal and oxidative stability during uptake‐regeneration cycling. Finally, >25 % higher CO2 uptake capacities are achieved for aminopolymer/MIL‐101(Cr)‐ρhigh under humid conditions, demonstrating promise for realistic applications. [ABSTRACT FROM AUTHOR]

To explore variations in carbon storage and distribution patterns across various layers(vegetation layer, litter layer, and soil layer)of different age classes and different densities of Picea schrenkiana var. tianschanica natural forest ecosystem in the northern foot of Tianshan Mountains, a total of 9 kinds of P. schrenkiana var. tianschanica natural forest with low(300～500 tree·hm-2), medium(500～600 tree·hm-2)and high(600～800 tree·hm-2)stand densities under three age classes of the middle-aged forest, near-mature forest and mature forest were selected as the research objects. Carbon storage at different levels in the natural forest ecosystem of P. schrenkiana var. tianschanica was estimated by field investigation and indoor analysis. The results showed that for the aboveground and belowground biomass of tree layer components in P. schrenkiana var. tianschanica, natural forest increased with an increase in stand density in middle-aged and near-mature forests. In contrast, in mature forests, it increased first and then decreased with an increase in stand density. In the herb and litter layers of the natural forest of P. schrenkiana var. tianschanica, the biomass of the litter layer was the main component, accounting for 74. 46%～99. 45%; the herb layer components accounted for only 0. 55%～25. 54%. The vegetation carbon storage of the P. schrenkiana var. tianschanica natural forest increased with an increase in stand density in the middle-aged forest but decreased first and then increased with an increase in stand density in near-mature and mature forests. Soil carbon storage in the P. schrenkiana var. tianschanica natural forest first decreased and then increased with an increase in age class and stand density. The ecosystem carbon storage was the highest in the middle-aged high-density stand(570. 65 t·hm-2)and the lowest in the middle-aged low-density stand(287. 21 t·hm-2). The spatial distribution pattern of carbon storage in the P. schrenkiana var. tianschanica natural forest ecosystem was as follows: carbon storage in the soil layer accounted for the highest proportion, which was 49. 74%～72. 92%, followed by carbon storage in the tree layer(30. 22%～49. 54%), and the proportion of carbon storage in the herb and litter layers was only 0. 32%～2. 28%. The soil layer serves as the primary carbon reservoir in the natural Schrenkiana spruce forest ecosystem, allowing it to effectively store organic carbon as it grows. Middle-to-high-density forests contribute to the accumulation of biomass and carbon. High-density forests in near-mature and mature forests should be moderately thinned to increase the carbon sequestration capacity of the stands. [ABSTRACT FROM AUTHOR]

Inclusion of legumes in cereal based cropping system restores soil fertility and improves carbon storage and soil quality. In this background a field experiment was conducted in a strip-split plot design using three legume species viz., green gram, groundnut and cluster bean as vertical strip, two residue management practices i.e. residue removal (-R) and residue retention (+R) as horizontal strip, and three nitrogen levels i.e. 100%, 75% and 50% recommended rate of nitrogen (N) application in intersectional sub plots with four replications during summer 2017 and 2018. The grain and stover yield of maize, N uptake and soil properties were monitored after each crop harvest; soil nitrogen balance and soil organic carbon were estimated. Under 100% N fertilization, cluster bean – maize cropping system with residue (+R) recorded 12.78 and 9.78% higher maize grain and stover yield, respectively than without residue (–R) treatment. Highest available N (189.9 kg ha−1) and available P (54.5 kg ha−1) were registered under cluster bean- maize cropping system. Legume residue incorporation resulted 9.65, 8.46, 7.09 and 8.86% higher (p = 0.05) WBC content, WBC stock, available N and P contents over residue removal scenario. Annually, 1.71% added carbon converted into soil organic carbon. Legume residue retention and 100% recommended rate of nitrogen application enhanced nitrogen balance. Soil N balance was highest under groundnut – maize system (165 kg ha−1). Overall, for better soil health and optimum crop production, cluster bean – maize cropping system with legume residue retention and 100% N fertilization may be promoted in semi-arid Western India. [ABSTRACT FROM AUTHOR]

Accurate estimation of forest aboveground biomass (AGB) is crucial for understanding and managing forest ecosystems in the context of global environmental change, and also provides a scientific basis for national and regional ecological planning and carbon emission reduction policies. In order to investigate the regional pattern of forest AGB and its influencing factors in central China, a total of 469 sample plots were measured along four sample transects and on six mountains in field survey. The results showed that: 1) Two longitudinal distribution patterns of forest AGB were found, and one was that the AGB in the Qinling Mountains and the Daba Moutains gradually decreased from east to west, and the other was that the AGB in the areas between the two mountains gradually increased from east to west. The latitudinal distribution pattern of the forest AGB showed an "increasing–decreasing-increasing–decreasing" trend from south to north. The altitudinal distribution pattern showed a "first increasing-then decreasing" pattern with increasing altitude. 2) The influence of each factor on the spatial pattern of forest AGB was manifested as temperature > precipitation > HAI > topography, indicating that the spatial pattern of forest AGB in central China was the result of the interaction of climate, human activities and natural factors. [ABSTRACT FROM AUTHOR]

Since the industrial revolution, global anthropogenic CO2 emissions have surged dramatically to unsustainable levels, resulting in severe issues, such as global warming, extreme weather events, and species extinction. In response to this critical situation, extensive efforts have been undertaken across academia, industry, and policymaking sectors to deploy carbon capture, utilization, and storage (CCUS) technologies. Here, we present the annual summary of global CCUS for the year 2023. We begin by discussing the trends of anthropogenic CO2 emissions and atmospheric CO2 concentrations, and then offer an up‐to‐date summary of progress in academia, industry, and policy, respectively. In academia, we analyze the number and categories of publications and highlight some key breakthroughs. In the industry sector, we meticulously collect and present information on operational commercial carbon‐capture and storage facilities. Furthermore, we elucidate significant policy announcements and reforms across diverse regions. This concise and comprehensive annual report aims to inspire ongoing efforts and collaboration among academia, industry, and policymakers toward advancing carbon neutrality. [ABSTRACT FROM AUTHOR]

Peatland restoration is seen as a key nature‐based solution to tackle climate change and biodiversity loss. In Europe, nearly 50% of peatlands have been drained during the last decades, which have shifted their soils to carbon dioxide (CO2) sources. Soils of forestry‐drained peatlands are known to vary from CO2 sources to small sinks depending on their fertility and wetness. When peatlands are restored, it can be expected that rates of CO2 and methane exchange will vary depending on site fertility and wetness. We generated seven restoration pathways with different starting and end points and assessed the climate impacts of them. The GHG emission coefficients were compiled from literature, and radiative forcing was calculated for a 500‐year time period since restoration. All seven restoration pathways improved carbon sink capacity; however, the climate impact differed from cooling to warming. The highest cooling impact occurred in a pathway leading from nutrient‐rich drained peatlands toward tree‐covered spruce or pine mires. Warming impacts occurred in a pathway leading from nutrient‐poor drained peatlands toward open peatlands. The results of this study can be used to help identify peatland sites and restoration targets to maximize climate change mitigation from restoration. In practice, however, restoration has to fulfill other targets, such as biodiversity safeguarding, improvement of hydrological conditions, and socio‐economic aspects. Fulfilling all targets simultaneously requires compromises on all targets. [ABSTRACT FROM AUTHOR]

Boreal forests fix substantial amounts of atmospheric carbon (C). However, the timescales at which this C is cycled through the ecosystem are not yet well understood. To elucidate the temporal dynamics between photosynthesis, allocation and respiration, we assessed the radiocarbon (C14 ${}^{14}\mathrm{C}$) disequilibrium (D) between different C pools and the current atmosphere to understand the fate of C in a boreal forest ecosystem. Samples of vegetation, fungi, soil and atmospheric CO2 ${\mathrm{C}\mathrm{O}}_{2}$ were collected at the Integrated Carbon Observation System station Svartberget in northern Sweden. Additionally, we analyzed the Δ14 ${{\Delta }}^{14}$C‐CO2 ${\mathrm{C}\mathrm{O}}_{2}$ from incubated topsoil and forest floor soil respiration (FFSR) collected over a 24‐hr cycle, and calculated the Δ14 ${{\Delta }}^{14}$C signature of the total ecosystem respiration (Re) using the Miller‐Tans method. We found that vegetation pools presented a positive D enriched with bomb C14 ${}^{14}\mathrm{C}$, suggesting a fast‐cycling rate (months to years) for living biomass and intermediate (years to decades) for dead biomass. In contrast, mineral soils showed a negative D, indicating minimal incorporation of bomb C14 ${}^{14}\mathrm{C}$. FFSR showed diurnal Δ14 ${{\Delta }}^{14}$C variability (mean = 8.5‰), suggesting predominance of autotrophic respiration of recently fixed labile C. Calculations for Δ14 ${{\Delta }}^{14}$C in Re (median = 12.7‰) demonstrate the predominance of C fixed from days to decades. Although the boreal forest stores significant amounts of C, most of it is in the soil organic layer and the vegetation, where it is cycled relatively fast. Only minimal amounts of recent C are incorporated into the mineral soil over long timescales despite the current stocks in soils being relatively old. Plain Language Summary: Boreal forests play a key role as an alternative to sequester carbon dioxide (CO2 ${\mathrm{C}\mathrm{O}}_{2}$) from the atmosphere and mitigate climate change. However, there is uncertainty on where this CO2 ${\mathrm{C}\mathrm{O}}_{2}$ is stored and the timescales at which it remains. To understand this, we studied the fate of the atmospheric CO2 ${\mathrm{C}\mathrm{O}}_{2}$ since the beginning of the nuclear era (1950s) by measuring the radiocarbon content of vegetation, fungi, soil, forest floor soil respiration and atmospheric air from a boreal forest stand in northern Sweden. We found that vegetation stores carbon from months (in leaves and moss) to decades (in litter layer and wood debris), while the soil organic layer presented carbon even older than a century. In contrast, mineral soils contained little recent carbon along with low content of organic carbon. The analysis of FFSR revealed that carbon comes mainly from recently fixed carbon, while the overall ecosystem respiration reflected a mix of carbon sources, ranging from days to decades. Overall, the boreal forest stores substantial amounts of carbon, but most of it moves relatively fast through the ecosystem. Only a small amount of new carbon is added to the mineral soil where it remains for long timescales. Key Points: The isotopic disequilibrium of 14C in ecosystem pools was used to infer the fate and temporal dynamics of C cycling in a boreal forestEcosystem respiration reflected a mix of CO2 respired from various pools, dominated by autotrophic respiration of recently fixed CBomb 14C is stored mainly in roots, wood, dead biomass, and the topsoil organic layer; minimal new C is incorporated in the mineral soil [ABSTRACT FROM AUTHOR]

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

Terrestrial ecosystems play a critical role in the global carbon cycle, and their carbon sequestration capacity is vital for mitigating the impacts of climate change. Changes in land use and land cover (LULC) dynamics significantly alter this capacity. This study scrutinizes the LULC evolution within the Beijing metropolitan region from 1992 to 2022, evaluating its implications for ecosystem carbon storage. It also employs the Patch-Generating Land Use Simulation (PLUS) model to simulate LULC patterns under four scenarios for 2035: an Uncontrolled Scenario (UCS), a Natural Evolution Scenario (NES), a Strict Control Scenario (SCS), and a Reforestation and Wetland Expansion Scenario (RWES). The InVEST model is concurrently used to assess and forecast ecosystem carbon storage under each scenario. Key insights from the study are as follows: (1) from 1992 to 2022, Beijing's LULC exhibited a phased developmental trajectory, marked by an expansion of urban and forested areas at the expense of agricultural land; (2) concurrently, the region's ecosystem carbon storage displayed a fluctuating trend, peaking initially before declining, with higher storage in the northwest and lower in the central urban zones; (3) by 2035, ecosystem carbon storage is projected to decrease by 1.41 Megatons under the UCS, decrease by 0.097 Megatons under the NES, increase by 1.70 Megatons under the SCS, and increase by 11.97 Megatons under the RWES; and (4) the study underscores the efficacy of policies curtailing construction land expansion in Beijing, advocating for sustained urban growth constraints and intensified afforestation initiatives. This research reveals significant changes in urban land use types and the mechanisms propelling these shifts, offering a scientific basis for comprehending LULC transformations in Beijing and their ramifications for ecosystem carbon storage. It further provides policymakers with substantial insights for the development of strategic environmental and urban planning initiatives. [ABSTRACT FROM AUTHOR]

Forests are the largest carbon sinks in the world. They play a crucial role in mitigating climate change through carbon storage. Assessing carbon storage in forests is essential for policy formulation, management planning, and as a strategy to reduce the impacts of global warming. The aims of this research were to explore plant diversity, assess tree biomass, and evaluate carbon storage and carbon credits in urban forestry areas under the Thailand Voluntary Emission Reduction Program (T-VER). The study was conducted in the forested area of Rajamangala University of Technology Isan, Surin Campus, Thailand, and encompassed 60.96 ha. The methodology involved the creation of 10 temporary sample plots, each measuring 40 × 40 m. We then surveyed the species types and measured tree diameter at breast height (DBH) and the total height. Biomass was calculated using allometric equations and the stored carbon was quantified. In this study, we identified 85 species of plants. The analysis of tree biomass averaged 23,1781.25 kg/ha or 231.81 ton/ha. The carbon storage was estimated to be 108.94 tC/ha. When aggregating the data for the entire project, the total carbon storage amounted to 6851.55, with an equivalent carbon sequestration capacity of 25,122 tCO2e in the base year (baseline). We calculated that the carbon storage capacity could increase to 28,741.00 tCO2e with proper maintenance of the urban forest area over a 10-year period, equivalent to a carbon sequestration capacity of 3619 tCO2e. This would result in a carbon credit value equivalent to USD 90,475. [ABSTRACT FROM AUTHOR]

We assess the ecosystem services across the entire Baltic Sea using ecosystem model simulations and historical socio-economic data. Our approach covers 150 years, aggregated for the years around 1880, 1960, and 2010. The ecosystem services assessed include commercially usable wild fish biomass and wild plant biomass, water quality regulation (nitrogen and phosphorus retention), carbon storage, biodiversity and habitats, as well as active recreation and landscape aesthetics. In 2010, the commercially usable fish biomass in the entire Baltic Sea was 9.24 million tons. The total retention of nitrogen in the Baltic Sea was 884,135 t/a, phosphorus retention was 32,058 t/a, and carbon storage was 3,668,100 t/a. Between 1880 and 2010, the Baltic Sea-wide average biodiversity index decreased from 73 to 60, the active recreational quality index decreased from 76 to 69, and the observational recreation index declined from 91 to 78. In 2010, the most monetarily significant single ecosystem service in the Baltic Sea was nitrogen retention with EUR 26,822 million/a, followed by cultural ecosystem services. Other relevant services were fish catches (EUR 277 million/a), phosphorus retention (EUR 3854 million/a), and carbon storage (202 million/a). The latter recently showed a steep increase due to rising prices for CO2 certificates. [ABSTRACT FROM AUTHOR]

The rapid expansion of shrimp farming in Ca Mau Province, Vietnam, since the early 2000s has converted mangrove forests into aquaculture ponds, resulting in deforestation and degraded mangrove ecosystems. A system dynamics model was developed to assess the interactions and temporal changes among various economic, social, and environmental factors. The analysis was conducted under two development scenarios. In the Business as Usual scenario, shrimp farming will expand to 317,037 ha in 2050, reducing mangrove coverage to 76,484 ha and carbon storage to 4.8×106 MgC. However, this expansion is expected to create jobs, producing an output value of 25,153 billion VND and accounting for 25.13% of the province's workforce. Conversely, the Policy Scenario stabilises shrimp farming areas at 280,000 ha, which will have alternative impacts on the environment, society, and economy. By 2050, Ca Mau's mangrove coverage and carbon storage will reach 88,902 ha and 5.6×106 MgC, respectively; the shrimp industry will generate an output value of 22,214 billion VND and account for 23.58% of the province's workforce. Despite yielding lower economic growth and employment generation, policy interventions are expected to support overall positive developmental progress. Furthermore, a shift in the labour structure is anticipated due to restrictions on shrimp farming areas. The findings provide insights for policymakers to anticipate potential consequences of future development and appropriately adjust policy interventions. Several strategies, such as land use management, economic diversification, and alternative livelihood generation, are needed to balance environmental sustainability with social and economic growth in Ca Mau. Moreover, the methodology presented in this study is not limited to Ca Mau but is also applicable to other areas where the expansion of aquaculture endangers mangrove ecosystems. [ABSTRACT FROM AUTHOR]

Excessive carbon emissions have resulted in the greenhouse effect, causing considerable global climate change. Marine carbon storage has emerged as a crucial approach to addressing climate change. The Qiantang Sag (QTS) in the East China Sea Shelf Basin, characterized by its extensive area, thick sedimentary strata, and optimal depth, presents distinct geological advantages for carbon dioxide (CO2) storage. Focusing on the lower section of the Shimentan Formation in the Upper Cretaceous of the QTS, this study integrates seismic interpretation and drilling data with core and thin-section analysis. We reveal the vertical variation characteristics of the strata by providing a detailed stratigraphic description. We use petrophysical data to reveal the development characteristics of high-quality carbon-storage layers and favorable reservoir–caprock combinations, thereby evaluating the geological conditions for CO2 storage in various stratigraphic sections. We identify Layer B of the lower Shimentan Formation as the most advantageous stratum for marine CO2 storage. Furthermore, we analyze the carbon emission trends in the adjacent Yangtze River Delta region. Considering the characteristics of the source and sink areas, we suggest a strong correlation between the carbon emission sources of the Yangtze River Delta and the CO2 storage area of the QTS, making the latter a priority area for conducting experiments on marine CO2 storage. [ABSTRACT FROM AUTHOR]

A predominant management practice to reduce wind erosion in the arid deserts of northwest China is the planting of shrubs. However, the carbon sequestration capacity of these sand-fixing plantations has not received much attention. In this study, the carbon sequestration capacity of six typical sand-fixing plantations (Haloxylon ammodendron (C. A. Mey.) Bunge, Caragana korshinskii Kom., Tamarix ramosissima Ledeb., Calligonum mongolicum Turcz., Artemisia desertorum Spreng. and Hedysarum scoparium Fisch. & C. A. Mey.) in the Shiyang River Basin were compared and analyzed. We evaluated how carbon sequestration may vary among different species, and examined if plantation age or management style (such as the additional construction of sand barriers, enclosure) positively or negatively influenced the carbon storage potential of these plantation ecosystems. Our results showed that all six plantations could store carbon, but plant species is the controlling factor driving carbon stock accumulation in plantations. The actual organic carbon stored beneath 25-year-old T. ramosissima, H. ammodendron, C. korshinskii, H. scoparium, C. mongolicum and A. desertorum plantations was 45.80, 31.80, 20.57, 20.2, 8.24 and1.76 Mg ha−1, respectively. Plantations using a clay–sand barrier had 1.3 times the carbon sequestration capacity of plantations that only used wheat straw and sand barriers. Similarly, enclosed plantations had 1.4 times the carbon storage capacity of unenclosed plantations. Plantation age greatly impacts carbon sequestration capacity. A 25-year-old H. ammodendron plantation has a carbon sequestration capacity three times greater than that of 3-year plantation. We conclude that while afforesting arid areas, H. ammodendron and T. ramosissima should be prioritized, and priority also should be given to using clay–sand barrier and enclosure. [ABSTRACT FROM AUTHOR]

The present study is an attempt to determine the carbon stock and carbon sequestration potential of forest growing stocks around a thermal power plant near Bilaspur smart city in Chhattisgarh, Central India. The non-destructive sampling method is used to estimate above-ground biomass and below-ground biomass. The height and diameter at breast height (DBH) is measured for each individual tree. The allometric equation was made for estimation of carbon storage of tree species. 35 tree species were recorded around the national thermal power plant at a radius of 30 km in four different directions (east, west, north, and south). The results revealed that Ficus benghalensis was the species that found the maximum amount of carbon storage, followed by Ficus religiosa. According to the present study, the allometric models developed can further estimate carbon stocks in forest vegetation in and around National Thermal Power Corporation power plants, and other tropical deciduous forests. [ABSTRACT FROM AUTHOR]

Woody biomass is a large carbon store in terrestrial ecosystems. In calculating biomass, tree stems are assumed to be solid structures. However, decomposer agents such as microbes and insects target stem heartwood, causing internal wood decay which is poorly quantified. We investigated internal stem damage across five sites in tropical Australia along a precipitation gradient. We estimated the amount of internal aboveground biomass damaged in living trees and measured four potential stem damage predictors: wood density, stem diameter, annual precipitation, and termite pressure (measured as termite damage in downed deadwood). Stem damage increased with increasing diameter, wood density, and termite pressure and decreased with increasing precipitation. High wood density stems sustained less damage in wet sites and more damage in dry sites, likely a result of shifting decomposer communities and their differing responses to changes in tree species and wood traits across sites. Incorporating stem damage reduced aboveground biomass estimates by > 30% in Australian savannas, compared to only 3% in rainforests. Accurate estimates of carbon storage across woody plant communities are critical for understanding the global carbon budget. Future biomass estimates should consider stem damage in concert with the effects of changes in decomposer communities and abiotic conditions.

Based on the perspective of conflict of interest between low-carbon ecology and economic and social development, this study explores the change mechanism of land use cover change (LUCC) and carbon storage (CS) in the context of “Dual-Carbon” goal and territorial spatial ecological governance, which is of great significance to optimize the construction path of “Dual-Carbon” goal and formulate low-carbon, ecological, high-quality, and sustainable economic and social policies in the urban areas. An integrated framework based on the System Dynamics model, the Patch Generation Land Simulation model, and the Integrated Valuation of Ecosystem Services and Trade-offs model was constructed to dynamically simulate the LUCC demand and CS of Wenzhou under four scenarios in 2035, and to analyze the spatial evolution mechanisms of LUCC and CS. The main results of the study show that in the Natural Development Scenario (NDS) and High-speed Urbanization Scenario (HUS), the expansion mechanism is similar, and the area of woodland decreases greatly, which is mainly caused by the rapid expansion of construction land and cultivated land. Under Low-carbon and High-quality Development Scenario (LHDS) and Ecological Safety Governance Scenario (ESGS), woodland and grassland increased significantly, mainly because low-carbon and ecological governance policies strengthened ecological land protection and limited construction land control. By 2035, the prediction results show that LHDS has the highest CS (2.231 × 105 kt), followed by ESGS (2.226 × 105 kt), NDS (2.191 × 105 kt), and HUS (2.142 × 105 kt). The range of increase and decrease was 0.189, −0.149, −1.676, −3.692%, and only in LHDS, CS increased by 42.05 kt. Therefore, in order to achieve the “Dual-Carbon” goal, Wenzhou needs to prioritize the combination of LHDS and ESGS to formulate relevant policies.

Abstract Given the escalating issue of global climate change, it is imperative to comprehend and quantify the effects of land use change on carbon storage (CS), which pertains not only to the preservation of ecosystem functions but also directly influences the equilibrium and stability of the global carbon cycle. This study examines the correlation between CS and land use change, forecasts the future spatial distribution of CS, and offers a reference for the rational planning of watershed space. Focusing on the Bosten Lake Basin of Xinjiang in China, employing the land use simulation (PLUS) model and the integrated valuation of ecosystem services and trade-offs (InVEST) model to forecast the spatial distribution of carbon stocks across three developmental scenarios, while also examining the shift in the center of gravity of CS and the autocorrelation of their spatial distribution. The findings derived from the study are as follows: (1) From 1990 to 2020, the predominant land use type in the Bosten Lake Basin was grassland, while there was an upward trend in the areas of cropland, forest land, built-up land, and wetland, alongside a downward trend in the areas of grassland, water, and unused land. (2) In the long term, the regional CS exhibits an upward trend, with the most significant increase anticipated in the EPS scenario. Grassland constitutes the most extensive carbon reservoir in the Bosten Lake Basin, while wetlands exhibit the highest carbon sequestration potential. (3) The alteration in the center of gravity of CS is associated with the expansion or reduction of the major regional carbon reservoirs and types characterized by significant carbon sequestration potential. (4) In the long term, the spatial correlation of CS in the Bosten Lake Basin exhibits a consistent upward trend, with the most pronounced spatial correlation observed under EPS.

Abstract Historic gardens contain a greater number and variety of ancient trees, which are older, have unique forms, and larger volumes. These trees hold significant value in both natural ecosystems and cultural heritage. However, current research on the carbon sequestration value of ancient and non-ancient trees in historical gardens is relatively lacking. Based on the unique morphology and carbon storage estimation needs of ancient trees in historic gardens, this paper proposes a morphology-based point cloud single-tree segmentation method. This method can precisely extract the morphological structures of various tree species and accurately estimate their carbon storage. From the perspective of carbon sequestration, it evaluates the correlation between the structural characteristics and carbon storage of trees in historic gardens, as well as the potential changes in their carbon storage capacity.Using the Jing Yi Park’s Jian Xin Pavilions in Fragrant Hills Park as a case study, this method was applied to extract structural indicators of 116 ancient and non-ancient trees. The total carbon storage was found to be 19,171.13 kg, with an average carbon storage of 165.27 kg per tree. Among these, ancient trees accounted for 13,178.32 kg, or 68.74% of the total carbon storage. The study revealed that the correlation between tree age and carbon storage varied by species, and there were significant positive correlations between carbon storage and tree height, DBH, and canopy volume. Notably, there was a significant linear growth trend between DBH, canopy volume, and carbon storage. By 2030, the total carbon storage is projected to increase to 21,924.96 kg, with an annual average increase of 393.40 kg, representing a growth rate of 14.4%.The results indicate that studying the correlation between structural characteristics and carbon storage of aged trees in historical gardens can shed light on the important role of trees in sustainable carbon sequestration. The precise extraction of tree information through 3D digital technology and the prediction of carbon storage potential not only offer new perspectives for the conservation of cultural heritage in historical gardens, urban microclimate planning and design, and spatial management of carbon sinks and emissions but also have significant value for promoting the scientific management and protection of urban green spaces.

Abstract Since the industrial revolution, global anthropogenic CO2 emissions have surged dramatically to unsustainable levels, resulting in severe issues, such as global warming, extreme weather events, and species extinction. In response to this critical situation, extensive efforts have been undertaken across academia, industry, and policymaking sectors to deploy carbon capture, utilization, and storage (CCUS) technologies. Here, we present the annual summary of global CCUS for the year 2023. We begin by discussing the trends of anthropogenic CO2 emissions and atmospheric CO2 concentrations, and then offer an up‐to‐date summary of progress in academia, industry, and policy, respectively. In academia, we analyze the number and categories of publications and highlight some key breakthroughs. In the industry sector, we meticulously collect and present information on operational commercial carbon‐capture and storage facilities. Furthermore, we elucidate significant policy announcements and reforms across diverse regions. This concise and comprehensive annual report aims to inspire ongoing efforts and collaboration among academia, industry, and policymakers toward advancing carbon neutrality.

Abstract Background Wood Harvesting and Storage (WHS) is a form of Biomass Carbon Removal and Storage (BiCRS) that utilizes a combined natural and engineered process to harvest woody biomass and put it into long term storage, most frequently in the form of subterranean burial. This paper aims to quantify the availability of woody biomass for the purposes of WHS in the continental United States using a carbon cycle modeling approach. Using a regional version of the VEGAS terrestrial carbon cycle model at 10 km resolution, this paper calculates the annual woody net primary production in the continental United States. It then applies a series of constraints to exclude woody biomass that is unavailable for WHS. These constraints include fine woody biomass, current land use, current wood utilization, land conservation, and topographical limitations. These results were then split into state by state and regional totals. Results In total, the model projects the continental United States could produce 1,274 MtCO2e (CO2 equivalent) worth of coarse woody biomass annually in a scenario with no anthropogenic land use or constraints. In a scenario with anthropogenic land use and constraints on wood availability, the model projects that 415 MtCO2e of coarse woody biomass is available for WHS annually. This is enough to offset 8.5% of the United States’ 2020 greenhouse gas emissions. Of this potential, 20 MtCO2e is from the Pacific region, 77 MtCO2e is from the Western Interior, 91 MtCO2e is from the Northeast region, and 228 MtCO2e is from the Southeast region. Conclusion There is enough coarse woody biomass available in the continental United States to make WHS a viable form of carbon removal and storage in the country. There is coarse woody biomass available across the continental United States. All four primary regions analyzed have enough coarse woody biomass available to justify investment in WHS projects.

Abstract Accurate estimation of forest aboveground biomass (AGB) is crucial for understanding and managing forest ecosystems in the context of global environmental change, and also provides a scientific basis for national and regional ecological planning and carbon emission reduction policies. In order to investigate the regional pattern of forest AGB and its influencing factors in central China, a total of 469 sample plots were measured along four sample transects and on six mountains in field survey. The results showed that: 1) Two longitudinal distribution patterns of forest AGB were found, and one was that the AGB in the Qinling Mountains and the Daba Moutains gradually decreased from east to west, and the other was that the AGB in the areas between the two mountains gradually increased from east to west. The latitudinal distribution pattern of the forest AGB showed an "increasing–decreasing-increasing–decreasing" trend from south to north. The altitudinal distribution pattern showed a "first increasing-then decreasing" pattern with increasing altitude. 2) The influence of each factor on the spatial pattern of forest AGB was manifested as temperature > precipitation > HAI > topography, indicating that the spatial pattern of forest AGB in central China was the result of the interaction of climate, human activities and natural factors.

The ecosystem services of vertical greenery systems (VGSs) have attracted increasing research attention in recent decades. In addition to improving urban landscape esthetic and thermal comfort, VGSs also contribute to carbon (C) sequestration and CO2 uptake to mitigate climate change. In this study, the C storage and sequestration of six commonly used plant species (Coleus scutellarioides, Peperomia claviformis, Tradescantia spathacea, Duranta repens, Ficus elastica, and Heptapleurum heptaphyllum) in VGSs were determined over a year period. The C sequestration potential of the six plant species ranged from 60.6 to 248 g C m− 2 yr− 1, and T. spathacea was most effective in C sequestration. The net ecosystem CO2 exchange (NEE) of each plant species during different seasons were measured by using a portable chamber. The results revealed significant seasonal patterns in NEE, with peaking values occurring in summer. Additionally, the NEE values were higher for woody plants than for herbaceous plants. Correlation analysis indicated that the NEE of the VGSs was significantly affected by leaf area index (LAI), root biomass, and stomatal conductance. In addition, the indoor CO2 uptake rates of six plant species in VGSs were predicted under photosynthetically active radiation (PAR) = 200 and 450 µmol m− 2 s− 1. Among six plant species, H. heptaphyllum exhibited highest average indoor CO2 uptake rate throughout four seasons. Therefore, optimizing VGSs with woody plants featuring high NEE and biomass is critical for enhancing C sequestration and CO2 uptake within urban ecosystems. [ABSTRACT FROM AUTHOR]

Understanding the relationships among ecosystem services (ESs) are crucial for sustainable watershed management. Current studies on ESs often focus on mapping individual services, but there is limited research on the trade-offs and synergies degree (TSD) among them. The objectives of this study are: (i) to map multi-year data for three Ess: water yield (WY), carbon stock (CS), and soil conservation (SC); (ii) to examine the TSD among these ESs; and (iii) to identify the variables that influence TSD. The Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model was used to map WY, SC, and CS in the Citarum Watershed, Indonesia. Multiscale geographically weighted regression (MGWR) model was employed to explore the relationships between the factors influencing TSD. The results indicate that (1) both WY and CS experienced similar downward trends, decreasing by 18.37% and 2.89% from 2000 to 2010, and by 15.01% and 4.98% from 2010 to 2020, respectively. In contrast, SC increased by 10.60% from 2000 to 2010 and by 12.03% from 2010 to 2020. (2) The TSD analysis revealed significant variations in trade-offs and synergies within the Citarum watershed, with the most prominent TSD occurring between WY and SC (approximately 64%). (3) The driving factors of TSD include vegetation, topography, climate, and social factors, contributing 34.51%, 31.99%, 20.92%, and 11.58%, respectively, to the WY-SC trade-off. The novelty of this research lies in its integration of TSD with the MGWR model, providing valuable insights into the complex spatial relationships between TSD and its driving factors. These findings offer important contributions to sustainable watershed management. [ABSTRACT FROM AUTHOR]

[Objective] This paper aims to deepen the understanding of the carbon cycle by analyzing the spatiotemporal evolution characteristics of carbon storage in the central Yunnan urban agglomeration and its response to land use/land cover (LULC) change, so as to effective guidance for carbon management and ecological restoration strategies. [Methods] InVEST and PLUS models were used to simulate and predict the spatiotemporal evolution patterns of carbon storage in the central Yunnan urban agglomeration from 1990 to 2030. By combining data on LULC change, the relationship between carbon storage and LULC change was quantitatively analyzed. [Results] (1) From 1990 to 2020, the land types of the central Yunnan urban agglomeration were mainly forestland, cropland, and grassland, and forestland, cropland, and construction land showed an increasing trend, among which construction land increased the largest. (2) Carbon storage in the central Yunnan urban agglomeration presented a change characteristics of “first increase and then decrease, gradually stabilize”, reaching a maximum value of 1.46×109 t in 2000, and decreasing to 1.45×109 t in 2020, showing a spatial distribution characteristic of “higher in the west, lower in the east”. (3) The carbon storage predictions under different future development scenarios indicated that, compared with 2020, all four scenarios showed a declining trend in carbon storage by 2030, among which the ecological development scenario experienced the least decline, with a reduction of 0.43×107 t compared with 2020, while the cropland development scenario exhibited the most significant decline, with a reduction of 1.05×107 t compared with 2020. (4) The conversion between cultivated land and forestland was the primary factor affecting carbon storage. Specifically, the transformation of cultivated land into forests plays a crucial role in increasing carbon storage in the central Yunnan urban agglomeration. Forest expansion significantly enhanced regional carbon storage, while a reduction in grassland negatively impacted carbon storage. [Conclusion] The conversion of forestland and cultivated land has a significant impact on increasing or decreasing carbon storage in the central Yunnan urban agglomeration.

[Objective] This study aims to investigate the carbon storage, carbon sink function, and response mechanism to climate in Pinus sylvestris var. mongolica plantations with different initial planting densities on the southern edge of Horqin Sandy Land. The goal is to facilitate the assessment of the carbon sequestration function and adaptive management of forest ecosystems. [Methods] Estimating carbon storage and carbon sequestration rate of Pinus sylvestris plantations using stand height and cross-sectional area, and analyzing their responses to temperature, precipitation, and evaporation in conjunction with meteorological factors. The GM (1,1) grey prediction model was used to predict forest carbon storage in 2030. [Results] The carbon storage and sequestration rate of Pinus sylvestris plantations with different initial planting densities exhibited similar annual fluctuations, with an overall increase in carbon storage each year. The curve of the sequestration rate showed a “U” shape. Both thinly and excessive initial planting densities can reduce the carbon carbon sequestration capacity of Pinus sylvestris plantations. Before reaching 32 years old, the highest carbon sequestration intensity was observed in stands with initial planting densities of 1 500~2 000 tree/hm2, and for stands aged 35~46 years, the optimal density was 1 000~1 200 tree/hm2. The carbon storage increased logarithmically with increasing stand density.The response pattern of the planted Pinus sylvestris forests’carbon sequestration rate differed among stands with different initial planting densities regarding temperature but not precipitation. For high and extremely high-density Pinus sylvestris plantations, the average temperature in August of the previous year and in March, May, June and July of the current year were the main climatic factors limiting carbon sink. For low and medium-density plantations, the average temperature in August of the previous year and in March and October of the current year were the main climatic factors that constrain carbon sink. The correlation analysis between evapotranspiration and carbon sequestration rate in different planting density stands showed that carbon sink of low-density Pinus sylvestris plantations was more sensitive to evapotranspiration. Based on the GM (1,1) grey model, it was found that excessively high or low initial planting density would reduce the carbon sequestration potential of future Pinus sylvestris plantations. The optimal planting density for carbon sequestration rate was 1 772 tree/hm2. [Conclusion] The initial planting density of Pinus sylvestris has a significant impact on carbon storage and carbon sequestration, as well as their response to climate change in sandy areas. Adjusting the initial planting density may be one of the key adaptive management measures for Pinus sylvestris plantations under climate change.

Abstract Densification of urban areas and rapid urbanization result in land scarcity in the Sahelian cities of West Africa. Therefore, urban greenspaces are increasingly coveted for socio-economic development. This is the case of the peri-urban forest of Kua in Burkina Faso which has been subject of controversies between ecologists and decision makers who intended to declassify this forest for hospital project. The lack of ecological evidence on this forest fueled the dichotomous conflicts between environment protection and urban planning. Hence, this study aimed to assess the ecological characteristics of the peri-urban forest of Kua. Dendrometric measurements of 2993 individuals were performed in 106 plots across the peri-urban forests of Kua and Dindéresso. We computed and compared tree diversity metrics, structural parameters and carbon stocks between the two forests. The findings revealed a γ–diversity of 40 woody species from 38 genera and 16 families in Kua forest. Through the diversity metrics, we found that the peri-urban forest of Kua exhibited lower tree diversity than the peri-urban forest of Dindéresso (p-value

BACKROUND AND OBJECTIVES: Mangrove silvofishery, a unique system that combine aquaculture with mangrove forests, presents a promising sustainable solution for Indonesia's coastal communities. However, in order to achieve broad implementation, it is essential to bridge the existing knowledge gap concerning the economic and environmental benefits associated with it. The aim of this study was to assess the four primary services rendered by the Blanakan mangrove silvofishery area in Subang District, West Java: carbon sequestration, fisheries productivity, nature-based tourism, and bird sanctuary.METHODS: Carbon storage was calculated by conducting vegetation surveys and utilizing allometric equations, which took into account both aboveground and belowground biomass. During the vegetation survey, data regarding the types of mangrove plants and the diameter of each tree at breast height was gathered. To quantify fisheries production, interviews were conducted with area managers and pond farmers who are engaged in silvofishery practices within the region. The point-count method was used to inventory the diversity of bird species. The analysis of natural tourism services encompassed an examination of visitor statistics, the state of the mangroves as a popular tourist destination, and the range of tourist activities available.FINDINGS: The study revealed the high capacity of the mangrove stands at the study location for carbon storage, with an estimated 137.9 tonnes carbon per hectare aboveground and 79 tonnes carbon per hectare belowground. Local communities actively engage in silvofishery practices within the Blanakan mangroves, cultivating fish and shrimp, with an average annual income of around 1,513 United States dollar per hectare. 2. The natural beauty of the Blanakan mangrove area attracts tourists with its diverse ecosystem and opportunities to see crocodile breeding facilities. Visitor numbers vary, averaging around 128 people per month until mid-2023. The Blanakan mangroves are home to a total of 23 bird species, contributing to a species diversity index of 2.1. Two species with significant conservation value were found: the critically endangered Javan Blue-banded Kingfisher (Alcedo euryzona) and the vulnerable Black-capped Kingfisher (Halcyon pileata).CONCLUSION: The results emphasize the importance of advancing and advocating for silvofishery as a primary alternative in Indonesia's mangrove conservation and rehabilitation initiatives, enhancing coastal environmental management. Community engagement is of utmost importance in the successful development of mangrove silvofishery, as it aims to tackle the issue of limited awareness and participation among the local community.

Abstract Background With the profound changes in the global climate, the issue of grassland degradation is becoming increasingly prominent. Grassland degradation poses a severe threat to the carbon cycle and carbon storage within grassland ecosystems. Additionally, it will adversely affect the sustainability of food production. The grassland ecosystem in the northwest region of Liaoning Province, China, is particularly vulnerable due to factors such as erosion from the northern Horqin Sandy Land, persistent arid climate, and issues related to overgrazing and mismanagement of grassland. The degradation issue is especially pronounced in this ecological environment. However, previous research on the carbon density of degraded grasslands in Northeast China has predominantly focused on Inner Mongolia, neglecting the impact on the grasslands in the northwest of Liaoning Province. Therefore, this experiment aims to assess the influence of grassland degradation intensity on the vegetation and soil carbon density in the northwest of Liaoning Province. The objective is to investigate the changes in grassland vegetation and soil carbon density resulting from different degrees of grassland degradation. Methodology This study focuses on the carbon density of grasslands at different degrees of degradation in the northwest of Liaoning Province, exploring the variations in vegetation and soil carbon density under different levels of degradation. This experiment employed field sampling techniques to establish 100 × 100 m plots in grasslands exhibiting varying degrees of degradation. Six replications of 100 × 100 m plots per degradation intensity were sampled. Vegetation and soil samples were collected for analysis of carbon density. Results The results indicate that in the context of grassland degradation, there is a significant reduction in vegetation carbon density. Furthermore, it was found that root carbon density is the primary contributor to vegetation carbon density. In comparison to mildly degraded grasslands, moderately and severely degraded grasslands experience a reduction in vegetation carbon density by 25.6% and 52.6%, respectively. However, with regard to the impact of grassland degradation on soil carbon density, it was observed that while grassland degradation leads to a slight decrease in soil carbon density, there is no significant change in soil carbon density in the short term under the influence of grassland degradation. Conclusions Therefore, grassland degradation has exerted a negative impact on aboveground vegetation carbon density, reducing the carbon storage of above-ground vegetation in grasslands. However, there was no significant effect on grassland soil carbon density.