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Table 2 List of priors used to infer ACS changes in a Bayesian framework

From: Key drivers of ecosystem recovery after disturbance in a neotropical forest

Model

Parameter

Prior

Justification

Sg

\(\alpha ^{Sg}_{p}\)

\(\mathcal {U}(10,200)\)

Around 100 survivors/ha storing 0.1 to 2.0 MgC each

Sg

\(\beta ^{Sg}_{j,t}\)

\(\mathcal {U}(0,0.25)\)

\(12<{t^{Sg}_{0.95}}^{*}<+\infty \)

Sl

\(\beta ^{Sl}_{j,t}\)

\(\mathcal {U}(0,\beta ^{Sg}_{j,t})\)

\(t^{Sg}_{0.95}<{t^{Sl}_{0.95}}^{*}<+\infty \)

Rr

\(\alpha ^{Rr}_{p}\)

\(\mathcal {U}(0.1,1)\)

TmFO observed values (Piponiot et al. 2016b)

Rr

\(\beta ^{Rr}_{j,t}\)

\(\mathcal {U}(0,0.75)\)

\(4<{t^{Rr}_{0.95}}^{*}<+\infty \)

Rr

\(\alpha ^{Rg}_{p}\)

\(\mathcal {U}(0.1,3)\)

Amazonian values (Johnson et al. 2016)

Rr

\(\beta ^{Rg}_{j,t}\)

\(\mathcal {U}(0,0.5)\)

\(6<{t^{Rg}_{0.95}}^{*}<+\infty \)

Rr

\(\beta ^{Rl}_{j,t}\)

\(\mathcal {U}(0,0.5)\)

\(6<{t^{Rl}_{0.95}}^{*}<+\infty \)

All models M ∗∗

\(\lambda ^{M}_{l}\)

\(\mathcal {U}(-\beta ^{M}_{j,t},\beta ^{M}_{j,t})\)

avoid multicollinearity problems

  1. Models are : (Sg) survivors’ ACS growth, (Sl) survivors’ ACS loss, (Rr) new recruits’ ACS, (Rg) recruits’ ACS growth, (Rl) recruits’ ACS loss
  2. * t0.95 is the time when the ACS change has reached 95% of its asymptotic value
  3. **M is one of the five models, either Sg, Sl, Rr, Rg or Rl