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dbeillouin

Damien

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MACCA_VERIF4
MACCA_Verif
MACCA_VERIF2
MACCA_VERIF3
Essai_caract_systAgroF
Essai_caract_systAgroF
Essai_LUC
Figure1
The distribution of changes in soil organic carbon (SOC) resulting from land-use change, land management, and climate change.Each dot represents a mean effect size in terms of SOC change for a sub-category of the three main drivers of SOC change per land-use type. Croplands are shown as orange dots, forest lands as dark green dots, grasslands as light green dots, wetlands as blue dots, and other lands as gray dots. Dots of sub-categories of land-use change are colored according to the initial (i.e., previous) land-use type. The dot sizes are proportional to the number of paired data used to calculate the mean effect sizes. Violin plots represent the distribution of values within each of the three main categories, with the 25, 50, and 75% quantiles denoted by vertical black bars.
Suppl.Combi_practices
Suppl_All_effects
Figure2
Impact of land-use change on soil organic carbon (SOC) in percentage change. Note that the mean initial SOC levels are different between the various land-uses, effect-sizes expressed in percent change should therefore be interpreted in reference to this level.
Figure3
Impacts of various cropland, forest land, and grassland management practices (vs. the non-application of the management practice) on soil organic carbon (SOC) in percentage change.
Figure4
Impact of direct (a) and indirect effects (b) of climate change on soil organic carbon (SOC). Diamonds and lines represent the estimated median summary effect and the 95% confidence intervals (CIs) of the SOC change (%), respectively.
Suppl_soil_depth
HORA_Classif_Quanti
HORA_Classif_Quali
List_studies
Plot
validation performance
TD Meta-analyse
HTML
HTML
Data avialability 2018's drought
HTML
HTML
par NUTS3
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anomalies
HTML
trend maize and yield France
HTML
yield data 2018 Germany
wheat yield 2017
R courses
Lesson 1. Initiation