@article{fdi:010074246,
  title = {{T}emporal response of soil organic carbon after grassland-related land-use change},
  author = {{L}i, {W}. and {C}iais, {P}. and {G}uenet, {B}. and {P}eng, {S}.{S}. and {C}hang, {J}.{F}. and {C}haplot, {V}incent and {K}hudyaev, {S}. and {P}eregon, {A}. and {P}iao, {S}.{L}. and {W}ang, {Y}.{L}. and {Y}ue, {C}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he net flux of {CO}2 exchanged with the atmosphere following grassland-related land-use change ({LUC}) depends on the subsequent temporal dynamics of soil organic carbon ({SOC}). {Y}et, the magnitude and timing of these dynamics are still unclear. {W}e compiled a global data set of 836 paired-sites to quantify temporal {SOC} changes after grassland-related {LUC}. {I}n order to discriminate between {SOC} losses from the initial ecosystem and gains from the secondary one, the post-{LUC} time series of {SOC} data was combined with satellite-based net primary production observations as a proxy of carbon input to the soil. {G}lobally, land conversion from either cropland or forest into grassland leads to {SOC} accumulation; the reverse shows net {SOC} loss. {T}he {SOC} response curves vary between different regions. {C}onversion of cropland to managed grassland results in more {SOC} accumulation than natural grassland recovery from abandoned cropland. {W}e did not consider the biophysical variables (e.g., climate conditions and soil properties) when fitting the {SOC} turnover rate into the observation data but analyzed the relationships between the fitted turnover rate and these variables. {T}he {SOC} turnover rate is significantly correlated with temperature and precipitation (p<0.05), but not with the clay fraction of soils (p>0.05). {C}omparing our results with predictions from bookkeeping models, we found that bookkeeping models overestimate by 56% of the long-term (100years horizon) cumulative {SOC} emissions for grassland-related {LUC} types in tropical and temperate regions since 2000. {W}e also tested the spatial representativeness of our data set and calculated {SOC} response curves using the representative subset of sites in each region. {O}ur study provides new insight into the impact grassland-related {LUC} on the global carbon budget and sheds light on the potential of grassland conservation for climate mitigation.},
  keywords = {{MONDE}},
  booktitle = {},
  journal = {{G}lobal {C}hange {B}iology},
  volume = {24},
  numero = {10},
  pages = {4731--4746},
  ISSN = {1354-1013},
  year = {2018},
  DOI = {10.1111/gcb.14328},
  URL = {https://www.documentation.ird.fr/hor/fdi:010074246},
}