Figure legends
Figure 1. Above-ground carbon (A) and soil carbon accumulation (B) in
chronosequences of tree plantations and second-growth forests, and
reference forest values, in agricultural landscapes of Brazil’s Atlantic
Forest. Solid and dashed lines represent, respectively, significant and
non-significant power regressions. ANCOVA on log-log transformed data
indicated a significant difference (P < 0.05) of estimated
intercepts between plantations and second-growth forests for
above-ground carbon biomass (A) and soil carbon stocks (B).
Figure 2. Soil carbon association with clay content in tree plantations,
second-growth forests, and reference forests within agricultural
landscapes of Brazil’s Atlantic Forest. Solid lines represent
significant power regressions. Soil carbon stocks versus clay
content relationship: ANCOVA on log-log transformed data indicated a
significant difference (P<0.05) of estimated intercepts
between restored and reference forests, and between plantations and
naturally regenerated forests.
Figure 3. Graphical representation of the influence of different drivers
of above-ground carbon and soil carbon stocks in chronosequences of tree
plantations and second-growth forests established in agricultural
landscapes of Brazil’s Atlantic
Forest. Results reflect the average model developed by merging all
models ∆AICc ≤ 2. Arrow color represent the sign of the average
coefficient, and relative importance express the weighted proportion of
the models ∆AICc ≤ 2 that contain the driver.
Figure 4. Temporal variation of restoration implementation costs (A),
accumulated land opportunity costs (B), and total (C) costs for
accumulating above-ground carbon stocks (i.e., cost-effectiveness) in
chronosequences of tree plantations and second-growth forests
established in agricultural landscapes of Brazil’s Atlantic Forest.
Solid and dashed lines represent, respectively, significant and
non-significant power regressions. ANCOVA on log-log transformed data
indicated a significant difference (P < 0.05) of estimated
intercepts between plantations and second-growth forests for
implementation cost-effectiveness (A) and total cost-effectiveness (C).