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A new methodological approach of humic acid (HA) extraction is applied to study soil samples with contrasting management regimes: natural vegetation (NV) and agricultural (A). This innovative approach involves a modification of the Swift's method, wherein several steps HCl/HF are replaced by a single-step HCl/HF. This modification enabled us to investigate the ability of HA to retain inorganic constituents. The carbon content was significantly higher in soils under NV (19.8–27.3 g C kg−1) than under A (11.2–13.4 g C kg−1). The same pattern was observed for the HA content. The new methodology revealed that HA from NV soils had a much higher capacity to retain inorganics (ash contents in HA from 12.3–28.3%) than in A soils (ash content in HA from 1.6–2.6%). Similar results were found for Ca+Al+Fe contents in the HA (3.7–2.5 meq g−1 in HA from NV soils; 2.2–.9 meq g−1 in HA from A soils). Some differences were observed in IR spectra, mainly an intense band at around 1050 cm−1 of HA from NV that reflects the high ash content of the HA and its capacity of retaining inorganic material. Ca binding isotherms of HA also showed that the HA differed significantly in their ability to retain inorganic components when extracted. Humic acid from NV was more efficient in retaining metal ions and minerals than HA from A soils. All results point to a better contact between organic and inorganic matter in NV soils, and this contact contributes to the stabilization of organic matter. [ABSTRACT FROM AUTHOR]

[Objective]The aims of this study are to explore the spatiotemporal changes of land use and ecosystem services under different development scenarios on the Yunnan-Guizhou Plateau, and to provide an important scientific basis for optimizing the spatial pattern of land use, improving the function of ecosystem services and formulating sustainable development strategies. [Methods]The Yunnan-Guizhou Plateau was taken as the research object. The MCD12Q1 land cover data of phases 2001, 2010 and 2020 were taken as the basic data, and the natural and socio-economic data were taken as the auxiliary data. Based on ArcGIS, FLUS model and In VEST model platform, the land use pattern change patterns of Yunnan-Guizhou Plateau from 2001 to 2020 were analyzed. The spatiotemporal distribution pattern of land use and the spatiotemporal changes of three ecosystem services function(carbon storage, water yield and soil conservation)were simulated under the Natural Development Scenario(NDS), Ecological Protection Scenario(EPS)and Farmland Protection Scenario(FPS)in 2030, 2040 and 2050. [Results](1)The main trend of land use structure in Yunnan-Guizhou Plateau under different scenarios was the continuous increase of forestland and the continuous decrease of grassland. The farmland area can account for 10. 38％of the total area under the FPS. The forestland and grassland area will reach 90％of the total area by 2050 under the EPS. (2)Under the three scenarios, the total carbon storage and soil conservation of ecosystem services in the Yunnan-Guizhou Plateau from 2020 to 2050 show an increasing trend, while the total water yield shows a decreasing trend. Under the EPS, the predicted value of carbon storage in 2050 will be the highest, 8. 13 X109 t, and the reduction rate of water yield will be significantly lower than the other two scenarios, with a decrease of 0. 46％. (3)Yichang, Pu'er and Changde have higher ecosystem services supply capacity. However, the supply capacity of ecosystem services in Guiyang, Bijie and Anshun is low. [Conclusion]The supply capacity of ecosystem services in the study area is better from 2020 to 2050, and all service functions show strong spatial aggregation and heterogeneity under different scenarios. When formulating strategies for ecosystem service management and sustainable development in the Yunnan-Guizhou Plateau, the spatial differentiation characteristics of different ecosystem service functions and the water shortage caused by the continuous increase of forest area should be considered. [ABSTRACT FROM AUTHOR]

Terrestrial carbon storage (CS) plays a crucial role in achieving carbon balance and mitigating global climate change. This study employs the Shared Socioeconomic Pathways and Representative Concentration Pathways (SSPs-RCPs) published by the Intergovernmental Panel on Climate Change (IPCC) and incorporates the Policy Control Scenario (PCS) regulated by China's land management policies. The Future Land Use Simulation (FLUS) model is employed to generate a 1 km resolution land use/cover change (LUCC) dataset for China in 2030 and 2060. Based on the carbon density dataset of China's terrestrial ecosystems, the study analyses CS changes and their relationship with land use changes spanning from 1990 to 2060. The findings indicate that the quantitative changes in land use in China from 1990 to 2020 are characterised by a reduction in the area proportion of cropland and grassland, along with an increase in the impervious surface and forest area. This changing trend is projected to continue under the PCS from 2020 to 2060. Under the SSPs-RCPs scenario, the proportion of cropland and impervious surface predominantly increases, while the proportions of forest and grassland continuously decrease. Carbon loss in China's carbon storage from 1990 to 2020 amounted to 0.53 × 1012 kg, primarily due to the reduced area of cropland and grassland. In the SSPs-RCPs scenario, more significant carbon loss occurs, reaching a peak of 8.07 × 1012 kg in the SSP4-RCP3.4 scenario. Carbon loss is mainly concentrated in the southeastern coastal area and the Beijing-Tianjin-Hebei (BTH) region of China, with urbanisation and deforestation identified as the primary drivers. In the future, it is advisable to enhance the protection of forests and grassland while stabilising cropland areas and improving the intensity of urban land. These research findings offer valuable data support for China's land management policy, land space optimisation, and the achievement of dual-carbon targets. [ABSTRACT FROM AUTHOR]

Soil is one of earth's most complicated environments for life. The single most important property determining the soil i.e., soil organic carbon has gained prominence in assessment of soil quality and also as a strategy for climate change mitigation. However, different forestry practices have different potential to store carbon and depend on the species composition and environmental variables. Hence, the present study has been carried out to investigate the status of soil organic carbon storage in the Aquilaria malaccensis based homestead plantation systems in three districts of Assam viz., Golaghat, Jorhat and Hojai. Soil samples from three depths (0-10, 10-20 and 20-30 cm) were collected seasonally and analyzed. Results indicated that average SOC ranges between 1.51-1.65%. Similarly, SOC stock ranged from 38.8 to 39.7 Mg C ha-1 among the three study sites. Both SOC (%) and stock does not show any significant variation among different depths and sites. Seasonally SOC (%) and stock were high in the post-monsoon season and lowest in the winter season. In the present study SMC, pH, EC, SOM and TKN showed positive relationship with SOC, whereas BD have negative relationship. The present study also reported a marginally higher content of SOC than other plantation systems. Higher content of carbon in Aquilaria based homestead plantations was attributed to the soil characteristics, elevated litter inputs and higher biological activity. Seasonal variation in SOC was attributed to factors such as local climate, rainfall and temperature pattern. [ABSTRACT FROM AUTHOR]

Coal is China's main resource, with open-pit mining accounting for a significant portion of global production. However, this activity, including mining and ecological restoration, can have a definite impact on ecosystem carbon storage and its distribution; its associated factors are also unclear. In this paper, we quantify the carbon storage changes in Haerwusu coal mine, a typical large-scale coal mine in China, based on land use/land cover (LULC) characteristics, and analyze the impact factors of carbon density from 2007 to 2022 by integrating the InVEST model with the landscape ecological function contribution ratio and multiple regression model. The results are as follows. (1) Carbon storage decreased from 159.95 x 104 to 147.51 x 104 from 2007 to 2017 and then increased to 151.91 x 104 to 2022. (2) The degree of coordination between carbon storage forest and grassland area landscape pattern coupling ranged from 0.887 to 0.867 from 2007 to 2022, with the lowest point at 0.720 in 2012. (3) Carbon storage was significantly related to vegetation indices, temperature, and elevation, and these factors can explain 37.5% of the carbon storage spatial variability; stepwise regression analysis showed that the integration of landscape patterns, such as Shannon's diversity index (SHEI) and the aggregation index (AI), could improve the explanation by 1.4%. (4) Based on the analysis of the landscape ecological function contribution ratio, the carbon storage-sensitive areas can be classified into three levels: extremely sensitive areas ranging 0 to 4 km from the mine, sensitive areas ranging 4 to 8 km, and insensitive areas ranging beyond 8 km. This study proposes a strategy for analyzing changes of carbon storage in coal mines, highlights the important role of landscape patterns in influencing carbon storage, and provides a reliable reference support for the ecological management of coal mines. [ABSTRACT FROM AUTHOR]

The current paper aims to assess the effects of landscape change in a mountain river basin in the north of Iran through quantifying, mapping, and assessing carbon storage. The analyses were performed based on previous alterations in land use and land cover (LULC) (1988–2018) and on expected changes determined by three LULC alteration setups for 2048. The Landsat imagery from 2018, 2008, 1998, and 1988 was used for evaluating and predicting the spatiotemporal distributions of LULC changes. The future LULC image prediction has been generated using Land Change Modeler (LCM) module of TerrSet software for the years 2028, 2038, and 2048. Validation was carried out by overlaying the actual and projected to 2018 map. We integrated the Markov Chain (MC) and InVEST Carbon Storage and Sequestration (InVEST-CSS) models for simulating the ecosystem carbon storage and the long-term monetary valuation. In this process, we considered social costs/economic value because of the area's loss and gain of stored carbon. The results show that forests and rangelands with good and poor conditions decreased by 631.2, 10,374, and 10,254 ha, respectively, from 1988 to 2018. Overall, modeling and mapping LULC changes showed a descending trend in forests (0.66%), agriculture (0.1%), and rangelands (4.1%) in 2048. In addition, carbon storage has already been lost by 9.9 million tons (76.98 ha−1) from 1988 to 8.8 million tons (68.86 ha−1) in 2018 and is expected to have an 8.4 million tons (65.25 ha−1) loss by 2048. Monitoring the economic value of carbon storage from 1988 to 2018 shows a loss of $US 15684338 (121.8 ha−1) and estimates a loss of $US6972622 (54.18 ha−1) by 2048. Therefore, spatiotemporal design of InVEST model by estimating the carbon value over time focuses on continuous monitoring actions for both the carbon pools dynamic and LULC pattern. This consideration causes reduction the uncertainty of estimated models and also increases the continuous cost of those changes. This will help government and decision makers for long-term and accurate carbon sequestration strategies for ecosystem. [ABSTRACT FROM AUTHOR]

The robust carbon storage (CS) capacity of terrestrial ecosystems is crucial in mitigating climate change and holds indispensable significance for global sustainable development. The diverse topography of Central Asia (CA), comprising oases, grasslands, forests, deserts, and glaciers, has fostered industries like animal husbandry, irrigation agriculture, and mining. However, the fragile arid ecosystems of CA render it highly sensitive to climate change and human activities, with their impact on the sustainable development of multifunctional landscapes in this region remaining ambiguous in the future. This study linked land use changes with multiple socio-economic and ecological indicators to predict the dynamics of land use and changes in CS in CA. The findings reveal a significant spatial heterogeneity in CS, with considerable variations among five countries driven by differences in landscape composition. Kyrgyzstan and Kazakhstan, characterized by grasslands, demonstrate higher CS per unit area, whereas Turkmenistan, dominated by barren land, exhibits the lowest CS per unit area. Strategies involving innovative development and improved biodiversity conservation have proven effective in augmenting CS. Meanwhile, high economic and population growth stimulates the expansion of cropland and urban land, reducing the CS capacity of ecosystems. This study contributes to a more precise assessment of CS dynamics in CA. Furthermore, by elucidating the interrelationships between future socio-economic development and environmental conservation in CA, it offers solutions for enhancing the conservation of multifunctional landscapes in CA. [ABSTRACT FROM AUTHOR]

The most extensive carbon reservoir system on Earth is found in the vegetation and soil in terrestrial ecosystems, which are essential to preserving the stability of ecosystems. Land use/cover change (LUCC) patterns in terrestrial ecosystems significantly impact carbon storage (CS). Therefore, it is imperative to investigate the relationship between LUCC and CS to coordinate regional ecological conservation and industrial development. In this study, the characteristics of spatial and temporal changes in land use and CS in the Yanqi Basin from 2000 to 2020 were revealed using the PLUS (patch-generating land use simulation) model and the CS module of the InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) model. This study also predicted the spatial and temporal evolution of CS and the response mechanism of the Yanqi Basin from four scenarios—natural development scenario (NDS), ecological protection scenario (EPS), cropland protection scenario (CPS), and urban development scenario (UDS) for the years 2030, 2040, and 2050. This study shows the following: (1) Between 2000 and 2020, the Yanqi Basin witnessed an expansion in cropland and construction land, the order of the land use dynamic degree which is as follows: construction land > cropland > woodland > unused land > water > grassland. At the same time, the CS exhibited a trend of growth that was followed by a decline, a cumulative decrease of 3.61 Tg. (2) Between 2020 and 2050, woodland, grassland, and unused land decreased under the NDS and UDS. Meanwhile, grassland and woodland showed an expanding trend, and there was a decrease in cropland and construction land under the EPS; the CPS projected an increase in cropland to 3258.06 km2 by 2050. (3) CS under the UDS is always the lowest, and CS under the EPS is the highest; moreover, by 2050, CS under the EPS is projected to increase by 1.18 Tg compared with that under the UDS. The spatial distribution of CS shows a high value in the western part of the region and a low value in the eastern part of the region, which is more in line with the historical spatial distribution. (4) The development of land by human activities is one of the major factors leading to the change of CS. The direct cause of the decrease in CS is the transformation of large areas of cropland and woodland into construction land. Therefore, woodlands must be protected to improve CS and prevent ecological degradation. At the same time, future land use planning in the Yanqi Basin needs to limit the conversion rate of various types of land, control the construction land, optimize the urban pattern, improve the regional CS level, adhere to the concept of striving to achieve carbon neutrality, and realize the sustainable development of the region to provide scientific suggestions for carrying out macro-decision making regarding land use planning in arid areas. [ABSTRACT FROM AUTHOR]

As global climate continues to change, it is pressing to integrate the carbon peaking and carbon neutrality goals into territorial spatial planning. While little existing ecological restoration research focuses on counties in western China, particularly arid areas of northwest China, this research took Wensu County of the Xinjiang Uygur Autonomous Region in China as the study case, evaluated the carbon sequestration capacity and carbon storage of the current carbon sinks, identified the spatial pattern of carbon sinks, and proposed the territorial ecological restoration approaches to increasing carbon sinks. The evaluation results show that the importance level of carbon sinks varies significantly across geographical environments of the county, where one primary carbon sink, two secondary carbon sinks, and potential carbon sinks with a total area of 2259.81 km2 were identified. This research extracted eight typical land use patterns based on current land use and proposed ecological restoration strategies accordingly. This research shows a way to integrate carbon peaking and carbon neutrality goals in territorial spatial planning, which is instrumental for carbon sink management in the arid areas of northwest China and provides a referable paradigm for regions with similar geographical conditions. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Soil & Water Conservation (1009-2242) is the property of Institute of Soil & Water Conservation 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 Journal of Soil & Water Conservation (1009-2242) is the property of Institute of Soil & Water Conservation 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.)

CO2 huff and puff is a widely used enhanced oil recovery method in many oil fields, but its implementations in shale fields is scarce. This paper reports trials of CO2 huff and puff in a shale field in China. Laboratory studies revealed that CO2 effectively reduced oil viscosity, increased oil volume, and improved oil recovery under miscible conditions. For the three wells that received CO2 huff and puff treatments, one well showed satisfactory results, while the other two wells demonstrated poor economics. Discussions and recommendations are made based on field experiences. © 2024 Society of Chemical Industry and John Wiley & Sons, Ltd. [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.)

Land use changes promote variations in ecosystem carbon storage, thereby influencing global climate. Investigating the impact of land use changes on carbon storage is crucial for regional ecosystem management and achieving economic sustainability. Taking Zhangjiakou City, Hebei Province as a case study, this research utilizes land use data from 2000, 2010, and 2020, coupled with the PLUS and InVEST models, to analyze the relationship between land use changes and carbon storage. Furthermore, it evaluates carbon storage under different future scenarios. The results showed that the land use types were mainly cropland and grassland, accounting for about 71% of the total area. Over the past 20 years, there has been a declining trend in the area of cropland and grassland, while the area of forest land and cropland has showed an increasing trend, and the main direction of conversion was cultivated land to construction land. In 2030, under the natural development scenario, there will be a decrease in the areas of cropland, forestland, and water bodies, while grassland, construction land, and unused land will experience growth. In the ecological protection scenario, compared to natural development, there will be an increase in forestland and grassland, with other land categories experiencing varying degrees of reduction. Under the cropland protection scenario, the area of cropland is projected to increase by approximately 1.11 km² compared to the natural development scenario. Over the past 20 years, the carbon storage in this region increased first and then decreased, but the overall carbon storage showed a downward trend, with an average annual decrease of 0.19x106 t. Under the natural development scenario in 2030, carbon storage is 766.43x106 t; under the cropland protection scenario, the carbon storage is 767.28x106 t, under the ecological protection scenario, the carbon storage is 768.5x106 t. Cropland protection falls between natural development and ecological protection in terms of carbon storage, suggesting that the City should prioritize cropland development while implementing certain ecological protection measures to mitigate the rate of decline in carbon storage in future development. [ABSTRACT FROM AUTHOR]

Primary production is an important driver of marine carbon storage. Besides the major nutrient elements nitrogen, phosphorus, and silicon, primary production also depends on the availability of nutrient-type metals (e.g., Cu, Fe, Mo) and the absence of toxicologically relevant metals (e.g., Ni, Pb). Especially in coastal oceans, carbon storage and export to the open ocean is highly variable and influenced by anthropogenic eutrophication and pollution. To model future changes in coastal carbon storage processes, a solid baseline of nutrient and metal concentrations is crucial. The North Sea is an important shelf sea, influenced by riverine, atmospheric, Baltic Sea, and North Atlantic inputs. We measured the concentrations of dissolved nutrients (NH4+, NO3−, PO43−, and SiO44−) and 26 metals in 337 water samples from various depths within the entire North Sea and Skagerrak. A principal component analysis enabled us to categorize the analytes into three groups according to their predominant behavior: tracers for seawater (e.g., Mo, U, V), recycling (e.g., NO3−, PO43−, SiO44−), and riverine or anthropogenic input (e.g., Ni, Cu, Gd). The results further indicate an increasing P-limitation and increasing anthropogenic gadolinium input into the German Bight. [ABSTRACT FROM AUTHOR]

The Poverty Alleviation Relocation (PAR) policy is widely regarded as an effective approach for breaking the cycle of ecological vulnerability and poverty. However, quantitative research on the ecological restoration effectiveness of PAR lacks sufficient experimental data support. This study focuses on the karst region and employs analysis methods such as volume-derived biomass and correlation analysis to evaluate the impact of PAR on carbon storage in forest ecosystems using on-site experimental data. The objective is to enhance and broaden the research framework for assessing PAR's ecological restoration effectiveness. The findings reveal that, compared to the pre-PAR implementation period in 2015, the study area experienced an 8.16% increase in forest land area and a 6.57% increase in carbon storage after six years of PAR implementation in 2021. Following PAR implementation, carbon storage in the stone desertification area surged by 14.31%, indicating a significant correlation between PAR households and carbon storage variables. In the karst area, carbon storage increased by 4.34%, exhibiting a significant correlation between the two variables. Conversely, in the non-karst area, carbon storage rose by 5.01%, but no significant correlation was observed between the variables. Furthermore, post-PAR implementation, there is a discernible trend of stronger carbon storage enhancement with increasing distance from the relocated PAR households. [ABSTRACT FROM AUTHOR]

Accurate quantification of forest biomass (FB) is the key to assessing the carbon budget of terrestrial ecosystems. Using remote sensing to apply inversion techniques to the estimation of FBs has recently become a research trend. However, the limitations of vertical scale analysis methods and the nonlinear distribution of forest biomass stratification have led to significant uncertainties in FB estimation. In this study, the biomass characteristics of forest vertical stratification were considered, and based on the integration of random forest and least squares (RF-LS) models, the FB prediction potential improved. The results indicated that compared with traditional biomass estimation methods, the overall R2 of FB retrieval increased by 12.01%, and the root mean square error (RMSE) decreased by 7.50 Mg·hm−2. The RF-LS model we established exhibited better performance in FB inversion and simulation assessments. The indicators of forest canopy height, soil organic matter content, and red-edge chlorophyll vegetation index had greater impacts on FB estimation. These indexes could be the focus of consideration in FB estimation using the integrated RF-LS model. Overall, this study provided an optimization method to map and evaluate FB by fine stratification of above-ground forest and reveals important indicators for FB inversion and the applicability of the RF-LS model. The results could be used as a reference for the accurate inversion of subtropical forest biomass parameters and estimation of carbon storage. [ABSTRACT FROM AUTHOR]

Resource exploitation markedly alters land use and ecological carbon storage, posing risks to carbon sinks and food security. This study analyzes land-use change from 1990 to 2020 in the resource-based province of Shanxi, China. By introducing a mineral resource driver, the PLUS model was used to predict four scenarios: natural development (ND), cropland protection (CP), ecological protection (EP), and dual protection of ecology and cropland (DP). The spatial and temporal evolutions of carbon storage were then analyzed using the InVEST model. Forests were predominantly distributed in mountainous areas, with croplands in southerly and central flat areas, construction lands in and around cities, and mining lands sporadically distributed across Shanxi. From 1990 to 2020, croplands and grasslands decreased, while forest, construction, and mining lands increased. Carbon storage decreased continuously, with a total loss of 15.1 × 106 t. High-value carbon storage areas were in the Lüliang, Taihang, and Taiyue Mountains, and low-value areas were in the more populous central and southern regions. Carbon storage was predicted to decline by 2035 under the ND and CP scenarios and to exceed that of 2020 under the EP and DP scenarios. The DP scenario projected an increase of 4.93 × 106 t in carbon storage by 2035. The DP scenario realizes the protection of carbon sinks in resource-based areas and maintains food security, providing a theoretical reference for achieving carbon neutrality and high-quality sustainable development in Shanxi Province. [ABSTRACT FROM AUTHOR]

In the context of the carbon peak and carbon-neutral era, it is crucial to effectively utilize maize straw as a resource for achieving carbon (C) sequestration and emission reduction in rural agriculture. Maize straw carbon undergoes two processes after being added to the soil: mineralization (decomposition) and humification (synthesis) by soil animals and microorganisms. These processes contribute to the reintegration of carbon into the agroecosystem's carbon cycle. However, understanding of the transformation and stabilization of straw carbon, as well as the differences in C fixation capacity in soils with various fertilization treatments in black soils, remains limited. This study aims to quantify the relationship between straw carbon input and organic carbon sequestration in various fertilization treatments of black soil. Based on a long-term positional fertilization trial (45 years) in black soil, 13C-labeled maize straw (1.5 g in 120 g of dry soil) was applied and combined with an in situ incubation method using carborundum tubes. Throughout the 360-day trial, we observed the influence of fertilization on soil total organic C levels, organic carbon δ13C values, maize straw addition rate, and straw C fixation capacity. The decomposition of straw was most prominent during the initial 60 days of the incubation period, followed by a gradual decrease in the rate of decomposition. Compared with day 0, the SOC δ13C value and straw C residue rate were highest in the no-fertilization treatment (CK) after 360 days of incubation. The amount of organic carbon transformed and fixed in the soil was significantly higher in the organic fertilizer treatment (M) compared to other treatments, highlighting the stronger decomposition, transformation, and carbon fixation capacity of straw carbon in the M treatment. Moreover, the highest carbon storage of 43.23 Mg·ha−1 was observed in the M fertilization treatment after 360 days, which was significantly different from other treatments (p < 0.05). The study demonstrates that soil with low fertility exhibits increased sequestration potential for straw carbon. Additionally, organic fertilizer input would increase soil organic carbon storage and facilitate straw carbon conversion. [ABSTRACT FROM AUTHOR]

Electromagnetics has been shown to be a viable tool to monitor CO2 plumes embedded in saline reservoirs. However, the majority of studies focus on measuring the electric field, which requires cumbersome equipment in the field and it is difficult to install permanent measurement stations. Magnetic field receivers offer an opportunity to reduce the form factor of the survey and increase the mobility by utilizing upcoming technologies, such as drones. We explore the use of frequency-domain electric dipole sources, and time-domain loops with a focus on measuring the secondary magnetic field at the surface for a conceptual injection scenario based on the Kemper CarbonSAFE site. We find that electric dipole sources give a response above the sensitivity of current sensor technology and, therefore, be a viable tool for CO2 monitoring. The time-domain loop source does provide fields that are useful for determining the location of the CO2 plume, however the field magnitude is below the sensitivity of the current generation of instruments. To explore the use of a potential borehole receiver we generate a map of the magnetic field at depth to explore potential borehole placement for monitoring efforts. Finally, we limit the spatial extent of the electric dipole survey to a single parcel of land to help understand how the fields change with survey geometry. We find that the shape of the secondary fields change slightly with the small transmitter, but are still measurable provided that the cultural noise at the site is low. Thus, we conclude that at the Kemper site a frequency-domain cross-dipole source with magnetometer receivers is suitable to monitor the expansion of the CO2 plume in the saline reservoir, even with a limited transmitter footprint on the surface.

Investigating the evolution of land use and its impact on carbon storage is of significant importance for mitigating regional climate change and promoting green low-carbon development. Ningwu County is located in the source region of the Fenhe and Sanggan River, and its ecological status significantly influences the carbon storage (CS) of the watershed ecosystem. In this study, the PLUS-InVEST model was employed to analyze the land use evolution from 1990 to 2020 in Ningwu County, Shanxi Province, as well as their impacts on CS. Additionally, the study simulated and predicted land use changes in Ningwu County by 2040 under four scenarios: natural development (NDS), ecological protection (EPS), cultivated land protection (CLPS), and urban development (UDS), while estimating the corresponding changes in ecosystem CS. Furthermore, the study utilized optimal parameters-based geographical detector to explore the mechanisms underlying the spatial differentiation of CS. The results indicated that the areas of forest land and construction land in the study area consistently increased from 1990 to 2020, whereas the area of cultivated land continuously declined, with grassland, water bodies, and unused land exhibiting a fluctuating increasing trend. The spatial distribution of CS was highest in the northwest, second highest in the southeast, and lowest in the middle region. Over these 3 decades, CS had shown a continuous increase. It is projected that by 2040, the areas of forest and grassland will experience the most significant increase under the EPS; cultivated land only increase under the CLPS; while construction land display the greatest increase under the UDS. Compared to 2020, these four scenarios for 2040 indicate an increase in regional CS, with the EPS showing the largest increment. The primary factors influencing the spatial differentiation of CS in Ningwu County are human activities, followed by topography and climate change; the interactions among these factors exhibit a reinforcing relationship, with the interaction between the distance from construction land and slope having the most substantial impact on the spatial differentiation of CS.

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

Traditional protected areas (PAs) with fixed boundaries are insufficient in the face of global climate change, undermining biodiversity conservation and climate impact mitigation. Fujian Province, a biodiversity hotspot in China, requires dynamic conservation strategies to maintain habitat quality (HQ) and carbon storage (CS). This research introduces a novel framework that integrates land-use simulation and ecosystem service valuation models to address conservation challenges under varying climate scenarios. We employ the System Dynamics (SD), the Patch-generating Land Use Simulation (PLUS) model, and the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model to explore how future climate scenarios might alter land use, HQ, and CS, and determines the conservation priorities for Fujian Province by 2050 based on HQ, CS capacity, and a future vision for protection. Findings indicate: (1) Under SSP1-2.6, Fujian Province exhibits an increased demand for forests, grasslands, and water resources, while SSP2-4.5 and SSP5-8.5 predict an elevated demand for urban land, extending into inland areas. (2) In SSP1-2.6, HQ and CS are expected to improve, with average HQ projected to rise to 0.71 and CS to 15.63 Mg/ha by 2050. Conversely, under SSP5-8.5, HQ is anticipated to decline to 0.66, and CS to 15.14 Mg/ha. SSP2-4.5 shows moderate levels, with slight decreases in HQ to 0.69 and CS to 15.34 Mg/ha due to moderate urban expansion. Nature reserves demonstrate the highest potential, while national parks remain stable and ocean parks perform poorly. (3) Hotspots are primarily located in the western Wuyishan and central Daiyun mountain ranges. Conservation targets are recommended at 15 %, 30 %, and 43 % of Fujian Province’s area for 2030, 2040, and 2050, respectively. This research provides a framework for enhancing protected areas, empowering governments to advance biodiversity conservation and achieve carbon neutrality.

The global challenges of biodiversity loss and climate change necessitate the implementation of integrated conservation strategies. A forward-looking framework is necessary to reconcile climate change adaptation and mitigation efforts with biodiversity goals, supporting effective long-term planning and management of protected areas (PAs) network. This study develops a comprehensive approach to identify priority areas for biodiversity conservation until 2050, integrating assessments of species distributions, climate change exposure and carbon storage under distinct shared socioeconomic pathways. The Middle and Lower Yangtze River Basin (MLYRB) in China serves as a case study. Using an ensemble species distribution modeling (ESDM) method, we predicted the distributions of 435 threatened terrestrial vertebrate species and plants. We then mapped their richness in the MLYRB. Distance-based climate velocity analysis was performed to identify climate change coldspots and hotspots. The patch-generating land use simulation (PLUS) model and InVEST model were coupled to simulate carbon storage changes. Systematic conservation planning tool, Zonation, was used to prioritize species conservation hotspots. By examining the co-occurrence of these hotspots with climate change coldspots/hotspots and areas of high carbon storage, conservation priorities for the MLYRB were revealed. Our findings indicate that 18.27–24.94 % of the MLYRB risks over 20 % species richness declines by 2050 under various scenarios, while increases over 10 % are projected for only 0.81–1.75 % of the area. Co-occurrence analysis highlights significant associations, such as a 32.26 % overlap between species conservation hotspots and climate change hotspots in SSP1–2.6. Particularly noteworthy is the substantial co-occurrence (57.93–59.50 % across scenarios) between areas maximizing species conservation and carbon storage. The identified conservation priority areas, covering 41.95 % of the MLYRB (441554 km2), hold potential for long-term species conservation, climate resilience, and nature-based climate solutions by 2050. However, only 6.08 % of these priorities currently benefit from protection. These results offer valuable guidance for region-specific landscape management and conservation policy aligned with international goals. The presented methodology provides a broader application, serving as a valuable resource for prioritizing conservation efforts in other regions integrating biodiversity, climate change adaptation, and mitigation goals.

Understanding how future climate scenarios impact land use/cover (LUC) and carbon storage (CS) is crucial for achieving carbon neutrality. However, research often overlooks the spatiotemporal impacts of future climate and socioeconomic changes on CS. This study integrates system dynamic (SD), patch-generating land use simulation (PLUS), the integrated valuation of ecosystem services and tradeoffs (InVEST) model, and the geographical detector to assess the LUC and CS evolution in the source of the Yellow River (SYR) from 2020 to 2060. Utilizing carbon density and LUC data, we explored the influence of natural and socioeconomic factors on CS under five shared socioeconomic pathways and representative concentration pathways (SSP-RCPs) scenarios. Our findings demonstrate that: (1) Ecological land, including woodland, grassland, and wetland, expanded more under SSP126 compared to SSP245, with SSP345, SSP460, and SSP585 showing a trend of degradation tied to deeper economic contribution. (2) By 2060, CS in terrestrial ecosystem under SSP126, SSP245, SSP345, SSP460, and SSP585 were 702.33 × 106 t, 700.33 × 106 t, 697.22 × 106 t, 696.03 × 106 t, and 691.21 × 106 t, respectively. This represents changes of 3.69 × 106 t, 1.69 × 106 t, −1.49 × 106 t, −2.68 × 106 t, and −7.43 × 106 t compared to 2020. (3) Soil type predominantly influenced the spatial differentiation of CS, with significant interactions with precipitation. This research provides new insights into land redistribution, economic strategies, and achieving carbon neutrality.

As a densely populated country experiencing rapid economic growth, Bangladesh faces a surging demand for energy. Despite efforts to develop renewable energy sources, coal remains a significant share of the energy mix with a consumption of 2,099,900 tons. However, conventional coal utilization raises environmental concerns like greenhouse gas emissions and other hazardous pollutants. To tackle these issues, viable solutions like clean coal technologies come into play. These encompass high-efficiency low-emission (HELE) power stations, carbon capture utilization and storage (CCUS) systems, integrated gasification combined cycle (IGCC), as well as supercritical and ultra-supercritical steam cycles (S/USC), providing adequate means to reduce the ecological effects tied to coal-powered electricity production. This paper asserts that the strategic adoption of clean coal technologies can play a pivotal role in shaping Bangladesh's sustainable energy future, contingent upon robust policy frameworks, environmental impact and recommend that the government must incentivize HELE, CCUS, and clean coal as well as promote international collaboration. Moreover, modern coal preparation techniques and the future research direction are also discussed in this paper and additionally this study suggests that HELE technologies are more suitable for Bangladesh than other current technologies. These strategies have the potential to yield enhanced economic benefits and offer viable solutions for achieving the clean and efficient conversion of coal resources.

Amidst global climate change and increased anthropogenic activities, the Qilian Mountains face critical ecological and environmental challenges, including vegetation degradation and declining carbon stocks. Therefore, effective mitigation strategies are critical to building China’s ecological security and enhancing carbon storage. This study constructed and optimized an ecological corridor in the Qilian Mountains using models, such as minimum spanning tree and carbon stock calculation. It combined geographic meta cellular automata and other methods to model ecological recovery in the Qilian Mountains following corridor construction and investigated the areas of particular concern. The results show that: (1) the distribution of the 118 extracted ecological source sites (2020) exhibited a pattern of “dense in the east and sparse in the west.” Compared with the results of the 2010 extraction, the source site area had shrunk by 0.87 % and number of sites had increased by 45.68 %. This implies that the shrinkage and fragmentation of source sites are still increasing, underscoring the urgent need for ecological corridors. (2) Compared to the pre-optimization period, the network node connectivity of the corridor network formed by the optimized 114 primary corridors and 131 secondary corridors has increased by 110 % and the network connectivity has increased by 112 %, which enhances the connectivity of the corridors. (3) From 2000 to 2020, the carbon stock in the Qilian Mountains decreased and then increased; with the construction of a corridor mountain range, the carbon stock can be further increased by 1.4748 million tons. Additionally, the Geographic Cellular Automata (GCA) model simulated that in 2030, the area of forest land in the Qilian Mountains, area of grassland, and carbon stock will increase by 71.75 km2, 313.87 km2, and 6.663 million tons, respectively. These results confirm that ecological protection and corridor construction promote ecological restoration and enhance carbon stocks in the Qilian Mountains, providing a scientific basis for future ecological projects and carbon stock analysis in the region.

Carbon storage in terrestrial ecosystems varies with land use changes, and exploring the impact of land use changes on carbon storage in regional terrestrial ecosystems is important for maintaining regional carbon balance. Data on Dalian City’s land use types from 2000 to 2020 are used in this research, to evaluate the spatio-temporal evolution of carbon storage in Dalian. Furthermore, with the scenarios of urban development, natural development, cultivated land protection, and ecological protection in 2030, this study combines the PLUS and InVEST models to emulate the dynamic adjustment at land-use types and the spatio-temporal evolution regarding carbon storage in Dalian City. The investigation shows that: 1) The carbon storage of terrestrial ecosystem in Dalian has been altered as a consequence of changes in land use, and now it shows a general decline during 2000–2020, with reductions amounting to 5.39 × 106 t. 2) From 2000 through 2020, Dalian’s land resources that are utilized for farming, forestry, and grassland decreased to different degrees. The total construction land area increased by 796.47 km2, or 6.38 %, whereas there has been no substantial improvement in water or unused land. 3) The carbon storage reduction in 2030 in comparison to 2020 for the natural development, cultivated land protection, and urban development scenarios, among which the urban development scenario was the largest, was 1.36 × 106t. It suggests that the rapid rate of urbanization and expansion of construction land is an important cause of the decline in carbon storage. 4) The cultivated land protection scenario (CPS) yields the smallest reduction of 6.50 × 105t. The structure of Dalian’s land use type is optimum under the ecological protection scenario (EPS), as seen by the 3.90 × 105t increase in carbon storage under this scenario. It speeds up the rate of recovery of carbon storage and improves the function of carbon sinks in urban terrestrial ecosystems. Hoping to provide the reference to decision makers for ecosystem carbon storage optimization from the view of land use, which is vital for making future land use policies and realizing the “dual carbon” strategic goal.

Carbon capture and storage represented as CCS, is a technique that can be used to cut down on emissions of CO2 from industrial sources. These mechanisms can balance the excess fossil fuel usage and lead to effective carbon capture from the atmosphere and storing it in safe spaces. This can negate global warming and send the carbon back to geological spaces inside the earth. This review covers the operational mechanism of such technologies from its inception to the material innovation along with the transport of CO2 and its storage options. Breakthroughs in recent years have made it possible to design effective carbon capture and safe spaces for its storage. A comprehensive worldwide case studies are presented for both successful CCS project implementation and their environmental impact assessment. Lessons learned from these case examples are reflected through the challenges and policy hurdles with its impact on the global economy. An outlook is provided for the role of CCS in net zero emissions, renewables integration and advancing CCS research. By leveraging innovation across capture, utilization, and storage stages, CCS holds immense potential to play a transformative role in combating climate change and achieving global sustainability goals.

Extended Abstract Background: In the Hyrcanian forests, fine woody debris (FWDs) plays a significant role in providing ecological services. However, their importance is often overlooked in the management and executive sectors. Based on the sustainability indices of natural forests—considering changes in carbon stock and the value of wood products—these seemingly insignificant FWDs are predicted to serve as valuable carbon reserves. Both science and economics recognize their significance. To make informed decisions about forestry operations, especially in post-respiration conditions (the rest law of the Hyrcanian forests), it is essential to accurately assess the accumulation and volume changes of these sinks across different parts of the forest. Optimum management techniques, particularly in forestry, can enhance ecological services. Therefore, our upcoming research aims to analyze spatial statistics related to volume stock changes in FWDs within various sections of the Hyrcanian forests, with a focus on implementing optimal management strategies. Methods: The study was conducted in Khairood-kenar forest using a cluster design at different altitude gradients ranging from 100-1800 m above sea level. To create the cluster design, three circular samples with a radius of 7.32 m were placed in the form of a triangle with azimuth angles of 0, 120, and 240 degrees. The distance between each sample was 36.6 m, and an additional sample of the same area was placed in the center of the design. Each cluster was randomly laid with three replications, resulting in a total of 12 samples across the altitude gradient from sea level. On each transact, the diameter of all dry wells, whose central axis was intersected by the transact line, was measured and recorded using calipers. After examining outliers upon the initial analysis, the volumetric observation variograms were fit using various models based on the distance and spatial correlation of variance. Based on the spatial structure, an optimal model, with the highest coefficient of determination (R2) and the lowest residual sum of squares (RSS), was selected for implementing the ordinary Kriging interpolation method. Based on the fitting of the models in different diameter classes, Kriging, and inverse distance weighting (IDW) methods were used for the interpolation and estimation of response variables that were not measured at different distances. Subsequently, the cross-validation method was used to validate the existing estimates of the FWD volume. The accuracy of both the estimation and the performed zoning was evaluated based on the fit between the estimated variable values and the observation values using R2and root mean square error (RMSE) indices. Results: The total volume of FWDs within the researched forest amounted to 24.3 m3/ha. The volume stocks of the first, second, and third diameter classes of the FWDs were 2.14, 6.01, and 16.23 m3/ha in the study forest. The variogram modeling revealed that the spatial variations in the volume of FWDs across different diameter classes exhibited an average spatial structure. However, the fit was not optimal when considering the R2 and RSS values. Interestingly, the kriging results were most accurate for the FWD first diameter class compared to the other diameter classes. Despite this accuracy, the overall estimated precision remained poor, with an RMSE of 6.32 and an R2 of 0.16. The result of the variography of the volume inventory of FWDs showed that their first diameter class was isotropic and the other diameter classes were anisotropic. Since the kriging method was not effective for estimating the spatial distribution of the FWDs in the second and third diameter classes, the IDW technique was used instead. The results obtained from the IDW technique for evaluating the spatial distribution of FWDs in the second and third diameter classes revealed no significant accuracy in the estimation. Therefore, it can be concluded from the results that the introduction of the volume of FWDs in the forest floor under the altitude gradient is not recommended for the study area. Conclusion: Based on the results, the volume stock of FWDs for different diameter classes along the altitudinal gradients was independent of autocorrelation and spatial correlation. This means that the FWD volume stock variations in different altitudinal gradients of the study forest are influenced by silviculture, biological, and ecological items with no obvious commonality in this regard. Since the accumulation of the FWD volume in the studied forest is not considered auto-correlated variation, it is expected that the classic tests, such as parametric and non-parametric tests, can be reliably applicable to examine the response variables among the stand types and altitudinal gradients.

Seagrass meadows serve as vital blue carbon ecosystems, sequestering significant amounts of CO2 and playing a crucial role in climate change mitigation. Semujur Island, located in the Bangka Belitung Province, exemplifies numerous small Indonesian islands boasting extensive seagrass meadows lining their shores. This research seeks to (1) describe the community structure of seagrass on Semujur Island, (2) assess the carbon storage within the seagrass ecosystem, and (3) analyze the relationship between seagrass community structure and carbon reserves across three distinct sites. According to the results of this study, there are eight species of seagrass on Semujur Island, i.e., Cymodocea rotundata, Enhalus acoroides, Halodule uninervis, Halophila ovalis, Oceana serrulata, Syringodium isoetifolium, Thalassia hemprichii, and Thalassodendron ciliatum. Diversity indices varied among sites, ranging from 1.48 to 1.72. Species evenness indices varied between 0.83 and 0.92, while dominance indices varied between 0.20 and 0.28. The highest estimated carbon stock was obtained at the site dominated by the species H. uninervis (75.11 MgC/ha); followed by the site dominated by T. hemprichii (50.55 MgC/ha). The correlation between seagrass community structure, including density and coverage, and carbon stocks demonstrated a moderate positive correlation, with coefficients of 0.430 and 0.528, respectively (p

[Objective] The forest coverage rate of Fujian Province is as high as 66.8%, ranking first in China. To investigate the impact of land use changes on carbon storage in Fujian Province is the theoretical basis for exploring the balance between social development and ecological protection. [Methods] Based on the carbon storage module of PLUS model and InVEST model, relationship between the spatiotemporal change characteristics of carbon storage and land use types in Fujian province during 2000—2020 was revealed, and the spatial and temporal changes of carbon storage in Fujian Province during 2020—2030 were predicted from three scenarios: natural development, ecological protection and urban development. [Results] The total carbon reserves in the study area in 2000, 2010 and 2020 were 214.77×107, 214.51×107 and 212.93×107 t, respectively, indicating a downward trend year by years. The development and transformation of land by human activities was the dominant factor leading to changes in carbon stocks, and the conversion of large areas of cultivated land and forest land into urban areas was the primary reason for the decline in carbon stocks. The prediction results showed that compared with 2020, carbon storage under natural development, ecological protection and urban development in 2030 would decrease by 1.47×107 t, increase by 0.17×107 t, and decrease by 1.85×107 t, respectively. The ecological protection scenario was the only development scenario that reversed the decline in carbon stocks. Compared with 2020, the forest area had expanded by 1 900.87 km2 and the forest carbon storage had increased by 2.08 ×107 t, which could effectively protect the ecology and meet the land requirements for urban development. [Conclusion] Prioritizing forest land protection and controlling the expansion of construction land are crucial prerequisites for Fujian Province to achieve carbon peaking and carbon neutrality goals.

There is great interest to understand and reduce the massive carbon footprint of the concrete industry. Recent descriptions of microbes incidentally living inside concrete materials ("concrete endoliths") raised questions about how much carbon is either stored in or released from concrete by these microbes. We generated preliminary global estimates of how much organic carbon is stored within the living biomass of concrete endoliths (biomass-carbon) and much CO2 is released from respiring concrete endoliths. Between 2020–2022, we collected widely varying samples of Portland cement-based concrete from Lubbock, Texas. After quantifying endolith DNA from 25 concrete samples and estimating the current global mass of concrete, we calculated that the global concrete endolith biomass-carbon as low as 5191.9 metric tons (suggesting that endoliths are a negligible part of concrete's carbon profile) or as high as 1141542.3 tons (suggesting that concrete endoliths are a pool of carbon that could equal or offset some smaller sources of concrete-related carbon emissions). Additionally, we incubated concrete samples in air-tight microcosms and measured changes in the CO2 concentrations within those microcosms. Two out of the ten analyzed samples emitted small amounts of CO2 due to the endoliths. Thus, "concrete respiration" is possible, at least from concrete materials with abundant endolithic microbes. However, the remaining samples showed no reliable respiration signals, indicating that concrete structures often do not harbor enough metabolically active endoliths to cause CO2 emissions. These results are preliminary but show that endoliths may alter the carbon dynamics of solid concrete and, thus, the carbon footprint of the concrete industry.

Abstract Background It is always a challenging job to compare forest resources as there is not a standardized spatial unit with location information. Google Plus Code, the newest alphanumeric geocoding system, uses 20 specifically selected letters and numbers to assign a unique global ID to every cell at different levels of a hierarchical grid system which is established based on latitude and longitude. It can be used as a standardized, unique global geospatial unit to segment, locate, quantitate, evaluate, and compare natural resources with area, boundary, and location information embedded. Results For this proof-of-concept case study, forest inventory data from 1987, 2002, and 2019 for the Zijin Mountain National Forest Park in Jiangsu Province, China was analyzed based on Google Plus Code grid/cell. This enabled the quantification of carbon storage at each cell allowing for the comparison of estimated carbon storage at same or different locations over time. Conclusions This methodology is used to quantify the impacts of changing forest conditions and forest management activities on carbon storage with high spatial accuracy through the 32-year study period. Furthermore, this technique could be used for providing technical support and validation of carbon credit quantification and management.

Sanjiangyuan National Park (SNP) is one of China’s national parks with high ecological significance and ecological vulnerability. In order to promote the healthy development of national park ecosystems, it is extremely important to investigate the carbon sequestration potential and the economic value of carbon sequestration in the SNP. Here, we comprehensively analyzed the characteristics of land use change from 1985 to 2022 based on the land use transfer matrix and land use dynamic degree, calculated the ecosystem carbon storage based on the InVEST model, and estimated the economic value of carbon storage in each period combined with compound interest present value method. The results show that: (1) From 1985 to 2022, carbon stocks generally went through three phases: increasing, stabilizing, and decreasing. (2) Low carbon density areas were concentrated in the Kekexili Natural Reserve in the Yangtze River Source Park and a small part of the Yellow River Source Park and Lancang River Source Park; The high carbon density area was concentrated in the water area and the forest land in the southeast of the Lancang River Source Park. (3) Land use change in SNP had a decisive impact on carbon storage change, and the economic value of carbon storage in SNP continued to increase from 1985 to 2022. In order to provide a scientific basis for the sustainable management of carbon sinks and the reduction of carbon emissions in the SNP area, it is necessary to further study the carbon cycle process, carbon storage and carbon emissions in the region in the future.

This study investigates the stratigraphy and carbon storage of the Verlorener Bach and Loosbach valley fills, of the Alpine Foothills in Bavaria, using a combination of electromagnetic induction (EMI), electrical resistivity tomography (ERT), direct push electrical conductivity sensing (DP-EC) and drilling cores. We identified three distinct stratigraphic units, with Unit I consisting of gravel deposits, Unit II comprising Holocene peat layers, and Unit III containing redeposited carbonates and overbank deposits.The integration of EMI data enhanced spatial resolution, while ERT data provided detailed insights into the thickness and distribution of these units. Correlating EMI-based apparent electrical conductivity values with stratigraphical data enabled the creation of a validated 3D model of sediment thickness. This approach revealed an inverted relief process where non-organic Unit III sediments remain elevated as surrounding organic-rich sediments shrink upon oxidation.Additionally, geochemical analyses estimated the Total Carbon (TC) and Total Organic Carbon (TOC) content for Unit II, totaling 43 kt of TC and 35 kt of TOC across the entire 15-hectare study area. The high carbon storage in peatlands is attributed to the thickness of peat layers and sustained water saturation, preventing degradation. However, potential reductions in groundwater levels could lead to peat decomposition and carbon release.This study demonstrates the effectiveness of integrating EMI, DP-EC and ERT data for stratigraphic analysis, providing a comprehensive understanding of spatial sediment stratigraphies and carbon storage in the study area. Our study demonstrates that it is possible to use geophysical prospecting methods not only to characterise surface sediments but also those located deeper in the ground. This allows for the analysis of both intact fen peats in terms of their carbon storage, as well as those that are no longer intact but buried.

In the global carbon cycle, ponds can play a dual role: they have the capacity to store carbon through sedimentation, but also to be important greenhouse gas emitters. Of all the pond landscapes in Europe, many are managed by Humans for fish production and little is known today about their role as carbon sinks or sources. We monitored 20 fish ponds from the Dombes region (France) during a production season in 2022. We measured both sedimentation rates, the diffusion of CO2, CH4 and N2O and ebullition of CH4 over three different seasons (spring, summer and autumn) in order to provide an estimate of the carbon balance for each pond. Five were dried-out in 2023 as part of the management cycle, and were monitored for dry flux emissions during this period. On average, our measurements suggest that fish ponds were carbon sinks (6 fish ponds as sources and 14 as sinks). There was on average a net sequestration of 4.16 (+/- 10.00) tonnes of CO2e per hectare over 6 months. Measurements from the dry year, indicate that the ponds were carbon sources (mean value of 23.89 tonnes of CO2eq emitted). However, whilst the drying out phase directly increases emissions, it also encourages the development of macrophytes in the subsequent years which improves carbon storage through sedimentation, and appears to be an important driver of the observed balances. These data are consistent with the fact that fish ponds have the capacity to be either sources or sinks of carbon for the atmosphere. Moreover, by promoting good levels of primary productivity, the presence of aquatic plants and by improving carbon storage, management practices appear to have the capacity to turn fish ponds into carbon sinks. These agroecosystems could thus play an important role in the context of climate change mitigation.