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-== Table of Literature potentially useful to our work... ==+== Tables of Literature potentially useful to our work... == 
 +Feel free to create more sub-pages as you see fit.
 Please insert any additions alphabetically by sir name of the first author. Please insert any additions alphabetically by sir name of the first author.
  
-^ Author      ^ Title, Description, DOI, Document ^ +[[.collection_of_publications:carbon_cycle  | Carbon Cycle related publications ]]
-| Livia C.P. Dias  | Patterns of land use, extensification, and intensification of Brazilian agriculture | +
-| 2016 | Periods 1940-2000 and 2000-2012: Based on Hansen's annual maps (30m resolution) pixels that changed from woody to non-woody vegetation were identified and filled with land use classes or crops in proportion to the crops reported in survey data for the area. Pixels were aggregated to obtain a 1x1km annual land use map. Brazilian census data were performed in 1940, 1950, 1960, 1970, 1975, 1980, 1985, 1995, and 2006 at the municipality level. Also available are annual crop yields and cattle stocks since 1990. Census data was interpolated to annual data. They use a number of elaborate algorithms to grow or shrink crop areas by firstly varying the percentage of crops within a pixel that is not 100% natural vegetation (presumably before spilling to a neighbouring pixel). | +
-|  | https://doi.org/10.1111/gcb.13314 | +
-|  | {{ :working_groups:cp:dias-patterns_of_land_use_of_brazilian_agriculture_1940-2010-_2016_.pdf |}} |+
  
-| Masayuki Kondo | State of the science in reconciling top-down and bottom-up approaches for terrestrial CO2 budget | +[[.collection_of_publications:ecearth_inner_functioning  | EC-Earth inner functioning related publications ]] 
-| 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 | +[[.collection_of_publications:LPJGUESS_inner_functioning_and_applications  | LPJGUESS inner functioning and application related publications ]] 
-|  | {{ :working_groups:cp: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 | +[[.collection_of_publications:lai_publications  | LAI Leaf Area Index related publications ]] 
-| 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 | +[[.collection_of_publications:lulcc_publications  | LULCC Land Use & Land Cover Change publications ]] 
-|  | {{ :working_groups:cp:krause-legacy_effects_from_historical_environmental_changes_2020ef001674.pdf |}} | + 
-| Andreas Krause |  Large uncertainty in carbon uptake potential of land-based climate-change mitigation efforts | +^ Author      ^ Title, Description, DOI, Document ^
-| 2018 | {{ :working_groups:cp: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? | | Pete Smith | Which practices co-deliver food security, climate change mitigation and adaptation, and combat land degradation and desertification? |
 | 2019 |  | | 2019 |  |
 |  | https://doi.org/10.1111/gcb.14878 | |  | https://doi.org/10.1111/gcb.14878 |
 |  | {{ :working_groups:cp:smith_which_practices_co-deliver_food_security_climate_change_mitigation_and_adaptation-2019.pdf |}} | |  | {{ :working_groups:cp: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      |  
-| | {{ :working_groups:cp: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 |  
-| | {{ :working_groups:cp:yang_-_comparison_of_forest_above_ground_biomass-2020.pdf |}} | 
  
working_groups/cp/collection_of_publications.1639998518.txt.gz · Last modified: 2021/12/20 11:08 by ameier

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