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working_groups:cp:collection_of_publications

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Collection of Publications and access to non-open-access publications

This is a place where we can store publications relevant to our work, that might be featured in proposals or deliverables or that we simply deem useful. And hopefully it will be easier to search for them here then on a diffuse number of local hard disks…

Accessing non-open-access publications

Here is a quick and dirty hack to access non-open-access articles in case they are included in the journals that the UPC has subscriptions for and supposing that you have UPC credentials. This method is particularly useful for DOI searches (That the UPC Library tries to keep a secret it seemed to me…):

1) Visit: UPC Library DOI search portal (https://doi-org.recursos.biblioteca.upc.edu/) (You may need to login first.)

2) Then grab the DOI of interest as in this example “https://doi.org/10.1111/gcb.14917” and paste it into the search field from step 1 and hit Enter. Heureka! (hopefully).

If that fails, then try this hack UPC DOI access hack

Table of Literature potentially useful to our work...

Please insert any additions alphabetically by sir name of the first author.

Author Title, Description, DOI, Document
Masayuki Kondo State of the science in reconciling top-down and bottom-up approaches for terrestrial CO2 budget
2019 Their set of atmospheric inversions and bio-sphere models, showed a high level of agreement for global and hemispheric CO2 budgets in the 2000s as well as for the regions of North America and South-east Asia. Differences in budget estimates are substantial for East Asia and South America. There is uncertainty in several regions as to whether these represent a carbon sink or source. Given these findings, caution should be taken when interpreting regional CO2 budgets.Those uncertainties continue to limit our ability to project the mitigation potential by the terrestrial biosphere.
https://doi.org/10.1111/gcb.14917
kondo_-_status_of_reconciling_top-down_and_bottom-up_approaches_for_co2_-_2019.pdf
Andreas Krause Legacy Effects from Historical Environmental Changes Dominate Future Terrestrial Carbon Uptake
2020 They use LPJ‐GUESS to quantify legacy effects for the 21st century. LUH2 (historic) and bias-corrected IPSL‐CM5A‐LR climate mode (future) are employed to provide land use forcing. The combined legacy effects of historical (1850–2015) environmental changes result in a land carbon uptake of +126 Gt C over the future (2015–2099) period. This by far exceeds the impacts of future environmental changes (range −53 Gt C to +16 Gt C for three scenarios) and is comparable in magnitude to historical carbon losses (−154 Gt C). The response of the biosphere to historical environmental changes dominates future terrestrial carbon cycling at least until mid-century.
https://doi.org/10.1029/2020EF001674
krause-legacy_effects_from_historical_environmental_changes_2020ef001674.pdf
Andreas Krause Large uncertainty in carbon uptake potential of land-based climate-change mitigation efforts
2018 krause-large_uncertainty_in_carbon_uptake_potential_of_lmts-_2018.pdf
https://doi.org/10.1111/gcb.14144
Pete Smith Which practices co-deliver food security, climate change mitigation and adaptation, and combat land degradation and desertification?
2019
https://doi.org/10.1111/gcb.14878
smith_which_practices_co-deliver_food_security_climate_change_mitigation_and_adaptation-2019.pdf
Philip Vergragt et al Comparison of forest above-ground biomass from dynamic global vegetation models with spatially explicit remotely sensed observation-based estimates
2011 This paper investigates if and how carbon capture and storage (CCS) could help to avoid reinforcing fossil fuel lock-in. The outcome is that a large-scale BECCS development could be feasible under certain conditions, thus largely avoiding the risk of reinforced fossil fuel lock-in. Keywords: Carbon capture and storage, Biomass, Fossil fuel
https://doi-org.recursos.biblioteca.upc.edu/10.1111/gcb.15117
vergragt-comparison_of_forest_above-ground_biomass_from_dgvms-1-s2.0-s0959378011000215-main.pdf
Hui Yang Comparison of forest above-ground biomass from dynamic global vegetation models with spatially explicit remotely sensed observation-based estimates
2020 Uses the GlobBiomass data set of forest above-ground biomass (AGB) density for the year 2010, obtained from multiple remote sensing and in situ observations at 100 m spatial resolution to evaluate AGB estimated by nine dynamic global vegetation models (DGVMs).Model estimates are 365 ± 66 Pg C compared to 275 (±13.5%) Pg C from GlobBiomass. The results suggest that TRENDY v6 DGVMs tend to underestimate biomass loss from anthropogenic disturbances.
https://doi-org.recursos.biblioteca.upc.edu/10.1111/gcb.15117
yang_-_comparison_of_forest_above_ground_biomass-2020.pdf
working_groups/cp/collection_of_publications.1639997136.txt.gz · Last modified: 2021/12/20 10:45 by ameier