| 1. |
- Maxwell, Tania L., et al.
(författare)
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Global dataset of soil organic carbon in tidal marshes
- 2023
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Ingår i: Scientific Data. - : Springer Nature. - 2052-4463. ; 10:1
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Tidskriftsartikel (refereegranskat)abstract
- Tidal marshes store large amounts of organic carbon in their soils. Field data quantifying soil organic carbon (SOC) stocks provide an important resource for researchers, natural resource managers, and policy-makers working towards the protection, restoration, and valuation of these ecosystems. We collated a global dataset of tidal marsh soil organic carbon (MarSOC) from 99 studies that includes location, soil depth, site name, dry bulk density, SOC, and/or soil organic matter (SOM). The MarSOC dataset includes 17,454 data points from 2,329 unique locations, and 29 countries. We generated a general transfer function for the conversion of SOM to SOC. Using this data we estimated a median (± median absolute deviation) value of 79.2 ± 38.1 Mg SOC ha−1 in the top 30 cm and 231 ± 134 Mg SOC ha−1 in the top 1 m of tidal marsh soils globally. This data can serve as a basis for future work, and may contribute to incorporation of tidal marsh ecosystems into climate change mitigation and adaptation strategies and policies.
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| 2. |
- Walden, L., et al.
(författare)
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Multi-scale mapping of Australia's terrestrial and blue carbon stocks and their continental and bioregional drivers
- 2023
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Ingår i: Communications Earth & Environment. - 2662-4435. ; 4:1
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Tidskriftsartikel (refereegranskat)abstract
- Multi-scale spatial machine learning of soil carbon stocks in Australia's terrestrial and coastal marine ecosystems reveals eight bio-regions and their underlying subregional drivers that can help inform strategies for conservation and climate change mitigation. The soil in terrestrial and coastal blue carbon ecosystems is an important carbon sink. National carbon inventories require accurate assessments of soil carbon in these ecosystems to aid conservation, preservation, and nature-based climate change mitigation strategies. Here we harmonise measurements from Australia's terrestrial and blue carbon ecosystems and apply multi-scale machine learning to derive spatially explicit estimates of soil carbon stocks and the environmental drivers of variation. We find that climate and vegetation are the primary drivers of variation at the continental scale, while ecosystem type, terrain, clay content, mineralogy and nutrients drive subregional variations. We estimate that in the top 0-30 cm soil layer, terrestrial ecosystems hold 27.6 Gt (19.6-39.0 Gt), and blue carbon ecosystems 0.35 Gt (0.20-0.62 Gt). Tall open eucalypt and mangrove forests have the largest soil carbon content by area, while eucalypt woodlands and hummock grasslands have the largest total carbon stock due to the vast areas they occupy. Our findings suggest these are essential ecosystems for conservation, preservation, emissions avoidance, and climate change mitigation because of the additional co-benefits they provide.
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| 3. |
- Olivares-Galvan, J. C., et al.
(författare)
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Evaluation of stray losses in throats of distribution transformers using finite element simulation
- 2012
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Ingår i: 2012 VI Andean Region International Conference. - : IEEE. - 9780769548821 - 9781467344272 ; , s. 7-10
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Konferensbidrag (refereegranskat)abstract
- This paper provides a numerical methodology to quantify the losses produced by induced currents in the metallic ducts (throats) used to enclose the bus bars connecting distribution transformers to switchgears. This calculation is important because some transformer manufacturers in Mexico don’t include throats in the load losses measurement. In particular, it presents the results of simulations made with commercial Finite-Element Software, to quantify the stray losses, originated by the induced currents, in throats of a 2000 kVA distribution transformer. The information provided by transformer’s manufacturers has been used judiciously in the creation of the numerical model. © 2012 IEEE.
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