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Temporal response of soil organic carbon after grassland‐related land‐use change
Author(s) -
Li Wei,
Ciais Philippe,
Guenet Bertrand,
Peng Shushi,
Chang Jinfeng,
Chaplot Vincent,
Khudyaev Sergey,
Peregon Anna,
Piao Shilong,
Wang Yilong,
Yue Chao
Publication year - 2018
Publication title -
global change biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.146
H-Index - 255
eISSN - 1365-2486
pISSN - 1354-1013
DOI - 10.1111/gcb.14328
Subject(s) - grassland , environmental science , soil carbon , primary production , soil water , global change , soil science , carbon cycle , representativeness heuristic , land use, land use change and forestry , land use , ecosystem , hydrology (agriculture) , atmospheric sciences , climate change , ecology , geology , biology , psychology , social psychology , geotechnical engineering
The 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 ). Yet, the magnitude and timing of these dynamics are still unclear. We compiled a global data set of 836 paired‐sites to quantify temporal SOC changes after grassland‐related LUC . In 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. Globally, land conversion from either cropland or forest into grassland leads to SOC accumulation; the reverse shows net SOC loss. The SOC response curves vary between different regions. Conversion of cropland to managed grassland results in more SOC accumulation than natural grassland recovery from abandoned cropland. We 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. The SOC turnover rate is significantly correlated with temperature and precipitation ( p < 0.05), but not with the clay fraction of soils ( p > 0.05). Comparing our results with predictions from bookkeeping models, we found that bookkeeping models overestimate by 56% of the long‐term (100 years horizon) cumulative SOC emissions for grassland‐related LUC types in tropical and temperate regions since 2000. We also tested the spatial representativeness of our data set and calculated SOC response curves using the representative subset of sites in each region. Our 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.