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Baseline map of soil organic carbon in Tibet and its uncertainty in the 1980s

Author:
Zhou, Y., Webster, R., Viscarra Rossel, R.A., Shi, Z., Chen, S.
Source:
Geoderma 2019 v.334 pp. 124-133
ISSN:
0016-7061
Subject:
carbon, climate, coniferous forests, cropland, deciduous forests, evapotranspiration, global warming, meadows, models, net primary productivity, normalized difference vegetation index, prediction, regression analysis, shrubs, soil profiles, soil types, steppes, temperature, uncertainty, China
Abstract:
Much of the carbon (C) stored in the soil of the high Qinghai–Tibet Plateau could be lost as a result of global warming. To provide a baseline against which to assess the loss we have made a new map at 90-m resolution from sample data of 1148 soil profiles augmented by information on climate, vegetation, physiography and digital elevation. We used the program Cubist, which works as a form of regression tree, to predict the concentration at the nodes of the 90-m grid. The uncertainty of the predictions was computed by bootstrapping 50 times at each node. Soil type, evapotranspiration (ET), precipitation, radiation and vegetation type contributed most to the variation in C at the coarse scale; temperature, net primary productivity, normalized difference vegetation index (NDVI), ET and elevation contributed most at finer scales. We mapped the predicted concentration of C and converted the predictions to stocks of C for the main kinds of land: 1.93 Pg for the alpine steppe, 1.57 Pg for the meadow, 0.66 Pg in the coniferous forest, 0.63 Pg in the broadleaf forest, 1.06 Pg under shrub, < 0.4 Pg for each of the alpine desert and cropland. We estimate the uppermost 30 cm of soil to contain 6.81 Pg of C with 95% (3.80 to 10.27 Pg). This estimate differs substantially from the two previous coarser estimates based on global modelling which far exceed our 95% upper confidence limit. Our new estimate can now serve as a base against which to judge any change of soil C as a response to global warming.
Agid:
6128762