Means¹ (± SE) of soil characteristics of land-use types.

1<p>Means of the 0.3–1.2 m depth interval are means of the 0.3–0.6-m, 0.6–0.9-m and 0.9–1.2-m depth intervals.</p>2<p>Within a row, means followed by different letters differ significantly between rubber plantation and secondary forest (linear mixed effects model at P≤0.05).</p

Soil carbon remaining after land-use change at (A) 0–0.15-m, (B) 0.15–0.3-m, and (C) 0.3–0.6-m depth.

<p>Soil carbon remaining is expressed as the proportion of soil carbon in rubber plantations relative to the secondary forest. The dashed lines represent fitted mono-exponential models (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0069357#pone.0069357.e002" target="_blank">Equation 2</a>). r = Pearson’s correlation coefficient between observed and fitted values; k = decay rate (year⁻¹) and X_e =  equilibrium ratio (%), and values in brackets are SE. Pearson’s r and parameter estimates are significant at *P≤0.05, **P≤0.01, and ***P≤0.001.</p

Location of the study area in Xishuangbanna prefecture, Yunnan province, China.

<p>Location of the study area in Xishuangbanna prefecture, Yunnan province, China.</p

SOC stocks, soil properties, topographical attributes and vegetation characteristics of a tropical montane landscape

Please see ReadMe file

R script_mesocosm experiment

R script for the analysis of data from mesocosm experimen

PAR_median_plot

Photosynthetic active radiation (PAR) for landscap

R script_landscape experiment

R script for the analysis of data from landscape experimen

Appendix D. Model summaries.

Model summaries