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6 results for “forest carbon projections”
Forest floor carbon and nitrogen content from 9 Hillslope Project sites in Macon County, North Carolina, within the Upper Little Tennessee River Basin
Forest floor samples were collected at 9 hillslope sites representing a gradient of development, including forested, valley agriculture, and mountain housing developments in Macon County, NC. Forest floor was divided into two categories: forest floor (i.e., Oi, Oe, & Oa layers) and wood <10 cm diameter. Afterwards, the combined depth of the Oe and Oa was measured in the middle of 3 sides of the subplot. Forest floor collections were later dried and weighed before being processed for C and N analyses.
Simplified boundaries of forest projects participating in California's forest carbon offset program
<p>A simplified version of active (including previously active) and listed forest carbon offset projects operating under California's forest carbon offset program. See archive's README for additional details.</p>
Using remote sensing to quantify the additional climate benefits of California forest carbon offset projects
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Forest net biome exchange and carbon stock projections by the regions of mainland Finland
<p>Forest net biome exchange and carbon stock projections with uncertainty by regions of the mainland Finland over period 2015-2050. Projections under three climate scenarios, RCP2.6, RCP4.5, and RCP8.5, and four harvest scenarios - BaseHarv (historical average harvest level of the years 2015-2021), slightly more intensive harvests MaxHarv (1.2 x BaseHarv), lower harvest intensity LowHarv (0.6 x BaseHarv) and no harvests after the year 2021 NoHarv - for each administrative region (NUTS3), and as aggregated from all the regions to the whole country, are given. The files contain mean value and 2.5%, 5%, 25%, 75%, 95% and 97.5% quantiles of the average Net Biome emissions (file <em>NBEave.xlsx</em>) and total carbon stock (file <em>Cstockave.xlsx</em>). The forest areas (forest land and poorly productive forest land, excluding undrained peatlands), and areas of mineral soils and drained organic soils for each region and the whole mainland of Finland are given in file <em>areas.xlsx</em>.</p> <p>Description of the used data and methods are given in article:<br> Junttila, V., Minunno, F., Peltoniemi, M. <em>et al.</em> Quantification of forest carbon flux and stock uncertainties under climate change and their use in regionally explicit decision making: Case study in Finland. <em>Ambio</em> (2023). <a href="https://doi.org/10.1007/s13280-023-01906-4">https://doi.org/10.1007/s13280-023-01906-4</a></p>
Optimal forest management schemes and the corresponding forest biomass carbon sink projections in China
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Co-benefits of forest carbon projects in Southeast Asia
<p>This dataset contains the output rasters produced to determine the climate mitigation potential, crop pollination service for pollinator-dependent agriculture, quantity of nitrogen retained and Key Biodiversity Areas conserved at the various carbon price points, namely USD 1, 2, 3, 4, 5, 10, 15, 20, 25, 50 and 100 t<sup>-1</sup> CO<sub>2</sub>e across Southeast Asia. All data are masked to forest areas determined across the region at 1 km resolution, based on a cylindrical equal area projection.</p> <p>We also determined locations across the region where forest protections would deliver multiple benefits through a spatial overlay. Areas identified to contribute any level of co-benefit were coded 1 to 3, indicating the number of co-benefits that could be attained in addition to climate mitigation from avoided forest loss, assessed for each price point.</p> <p>Further details of the datasets can be found in Sarira et. al. </p> <p>For further questions or issues with the datasets, please contact Tasya Vadya Sarira at <a href="mailto:tasya.sarira@adelaide.edu.au">tasya.sarira@adelaide.edu.au</a>.</p>
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