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Carbon Storage - DOAJ

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Last Updated: 10 November 2022

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Modeling carbon storage in urban vegetation: Progress, challenges, and opportunities

Urban vegetation and its carbon storage capacity are essential for terrestrial carbon cycling and global sustainable development targets. Hence, expanding UV carbon storage capacity modeling is a research hotspot that warrants careful examination. However, the uniqueness of UV data in urban environments means significant challenges in carbon storage modeling, including limitations in data and algorithms; severe scarcity of in-city field observation data; and poor transferability when migrating estimation models from natural vegetation to urban scenarios. Comprehensive discussions of carbon storage modeling methods and major challenges are included in this report, which includes extensive discussions on carbon storage modeling techniques and major challenges. This paper includes new insights into modeling UV carbon storage and is intended to assist the academic community in getting a better understanding of UV toward carbon freeness.

Source link: https://doi.org/10.1016/j.jag.2022.103058


Estimation and application of spatial distribution of carbon storage in Wushe reservoir watershed based on environmental indicators in Taiwan

From the carbon stock records of the two periods, a spatial representation of carbon fluxes can be obtained. The carbon flux index can be used to identify the distribution of carbon stocks and carbon dioxide in the watershed, as well as the location of negative carbon flux as a value-added application of vegetation restoration hotspots. The accuracy of the model estimation in forest land verification is high, with a high of 0. 1% that can accurately reflect the carbon stock of forest land.

Source link: https://doi.org/10.1016/j.ecolind.2022.109626


Simulation of Land Use and Carbon Storage Evolution in Multi-Scenario: A Case Study in Beijing-Tianjin-Hebei Urban Agglomeration, China

These issues have emerged when considering regional sustainable development, including maximizing land use and land cover, and improving terrestrial ecosystem carbon storage have all surfaced as top priorities. In a Beijing-Tianjin-Hebei urban agglomeration, the 2030 CS was shown to be a coupling model that considers the synergistic effect of LULC and CS, the Patch-generating Land Use Simulation model, and the Integrated Valuation of Ecosystem Services and Trade-offs model, which was used to simulate the 2030 CS and examine its spatial-temporal characteristics. The MPI model, which incorporates the advantages of the above three models, can optimize the LULC design, simulate the LULC manufacturing, and extract CS variation in a single go. The MPI model is a reference measure for determining the appropriate configuration of land resources.

Source link: https://doi.org/10.3390/su142013436


Soil Organic Carbon Storage in Australian Wheat Cropping Systems in Response to Climate Change from 1990 to 2060

SOC variability in the Australian wheat cropping system from 1990 to 2060 was investigated in the 1990-to-2060 climate change scenario under the Representative Concentration Pathway 85 climate change scenario, using the denitrificationu2013decomposition model to simulate biogeochemical reactions in agro-ecosystems. For wheat cultivation over 71 years, we investigated the effects of temperature and precipitation on SOC variability, optimal N-fertilizer application rate, and legume rotation with N fertilizer application rates of 0, 12, and 50 kg N/ha, which included wheat cropping under common nitrogen fertilizer application rate, decent N fertilizer application rate, and legume rotation with N fertilizer application rates at 0, 12, and 50 kg N/ha. The DNDC model provided a realistic representation of biogeochemical processes associated with wheat growth, according to the results; the normalized root mean square error of wheat yield was 15. 6 percent; and SOC's NRMSE was 13. 21%. In addition, adding a legume phase raised SOC and wheat yield in the low N-fertilizer case.

Source link: https://doi.org/10.3390/land11101683


Plus-InVEST Study of the Chengdu-Chongqing Urban Agglomeration’s Land-Use Change and Carbon Storage

This report, based on China's u201ccarbon neutralityu201d policy, explores the connection between land-use/cover change and temporal and spatial changes of ecosystem carbon storage in urban agglomerations. Carbon storage in urban agglomeration increased during the last 20 years, with a total increase of 24. 490 u00d7 10 6 t. Compared to the natural growth scenario, forest land, grassland, and water area in 2030 under the environmental protection framework, an increasing trend has been apparent; the area of construction land is restricted; and an ecological spatial effect is represented. The long-term carbon storage value under the ecological conservation model was much higher than that under the normal development scenario.

Source link: https://doi.org/10.3390/land11101617


Biomass Estimation and Carbon Storage of Taxodium Hybrid Zhongshanshan Plantations in the Yangtze River Basin

Taxodium hybrid Zhongshanshan has been widely planted in the area of Yangtze River for multipurposes such as ecological restoration, field shelter, landscape design, and carbon sequestration, as well as carbon sequestration. Taxodium hybrid Zhongshanshan is a keystone wetland tree. T's biomass and carbon storage facilities are included on this website, according to this approach. Stands in the Yangtze River Basin were estimated at about 50,000 people. The results revealed that the preferred 3-parameter polynomial model performed better, while the SUR approach gave more accurate estimates of leaf and stem fractions. T shirts are still in use in the United States. The new T shirts by T. U22121 carbon tree stands in the YRB zone, from 25. 32 to 217. 64 t ha u22121, of which total tree sizes vary from 25. 32 to 90. 66 percent, with 55. 1 percent storing in the soil. The results of this review provide forest managers with firsthand information for T's sustainable management.

Source link: https://doi.org/10.3390/f13101725


The Impact of Thinning and Clear Cut on the Ecosystem Carbon Storage of Scots Pine Stands under Maritime Influence in Flanders, Belgium

After 15 years of administration, this report examined the effects of two common forest management techniques for Scots pine stands on the C storage. After 15 years of operation, the latest findings showed, remarkably, no significant change in the entire ecosystem C stock for both forest and agricultural management strategies. The C in the top 30 cm layer of the mineral soil increased after the clear cut and the new plantation, but it decreased on the forest floor. Following a clear cut, the C stocks were reduced within the 10u201330 cm soil layer for thinning with group planting, but without effect on the total soil C. The findings are not only relevant for the study area, but also for managed Scot pine forests in neighboring areas of Western Europe's Atlantic zone.

Source link: https://doi.org/10.3390/f13101679


Variation Characteristics of Soil Organic Carbon Storage and Fractions with Stand Age in North Subtropical Quercus acutissima Carruth. Forest in China

In the soil carbon pool, subtle shifts are detected by labile organic carbon in the soil carbon pool, which is a vital component of forest soil carbon pool analysis. However, little is known about soil labile organic carbon storage and its dynamic transitions during Quercus acutissima Carruth's construction. Soilorganic carbon and its labile organic carbon fraction stocks at soil depths of 0-10 cm, 1020 cm, and 2040 cm in Quercus' acutissima forests have been examined by an 18-year-old, 26-year-old, and 65-year-old chronosequence. Stand age had a significant effect on particle organic carbon, light fraction organic carbon, and soil organic carbon, according to our study. The planting of Quercus acutissima forests was a process of carbon loss, according to our findings; however, the soil organic carbon content was high, and the soil structure was unstable at the early development stage.

Source link: https://doi.org/10.3390/f13101649


Analysis of the Driving Force of Spatial and Temporal Differentiation of Carbon Storage in Taihang Mountains Based on InVEST Model

The analysis of spatial correlations and primary causes of carbon storage in the Taihang Mountains ecosystem aids in decision-making for the construction of u201cdual carbonu201d projects and the improvement of ecological environmental quality in this area. The results reveal that: The Taihang Mountains' land use increased slightly from 2005 to 2019. The old carbon storage in the Taihang Mountains ranges from 1472. 91 t to 1478. 17 t, a decrease in forest and an increase in building land, according to a decreasing trend. The two key factors influencing the spatial distribution of carbon storage in the Taihang Mountains ecosystem are Slope and Normalized Difference Vegetation Index.

Source link: https://doi.org/10.3390/app122010662


Spatiotemporal dynamics and driving factors of county-level carbon storage in the Loess Plateau: A case study in Qingcheng County, China

Since the 1990s, economic growth, and the introduction of eco engineering have greatly altered land use and land cover patterns in the Loes Plateau counties, and in the county's carbon, they have dramatically changed the landscape and land cover pattern. The paper reviewed and analyzed the temporal and spatial trends of carbon storage in Qingcheng County from 2000 to 2030, using multi-source data and sophisticated environmental modeling techniques to determine and analyze the temporal and spatial trends and driving factors of carbon storage in the Loess Plateau. The carbon storage in the terrestrial ecosystem increased from 2000 to 2030 in Qingcheng, and it was mainly distributed in grassland and forests, accounting for 49 percent and 36 percent of total carbon storage, respectively. The introduction of ecological engineering had a clear effect on carbon storage in the terrestrial ecosystem.

Source link: https://doi.org/10.1016/j.ecolind.2022.109460

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions