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We ran the chains for five million generations to ensure sufficient sampling of tree space.
A stepwise tree searching strategy that combines independent multiple starting points and efficient algorithms designed for escaping local optima was used to insure sufficient sampling of tree space.
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All three parasitoids were recovered using YPTs and destructive sampling of trees.
The trees were first digitised by TLS using a protocol developed to provide fine-scale sampling of trees within acceptable scanning time.
Most previous work was based either on the sampling of visibly disturbed trees irrespective of their position at the study site or on the systematic sampling of trees evenly distributed along transects.
Jenkins et al. [12] combined thousands of allometric models that performed destructive sampling of trees, and simplified them to just 10 models for general applicability.
The ground based inventory described here, like most traditional forest monitoring, relies on tree measurement and conversion to volume, biomass, and carbon equivalents using established species-specific regressions developed through destructive sampling of trees [10 13].
Chains were run to at least 4 million steps with sampling of trees every 50 steps.
Runs were performed for 5 million generations with sampling of trees every 500th generation.
This can be done by joint sampling of trees and demographies according to the following simple algorithm: 1.
Bayesian analyses were performed using MrBayes v.3.1.2 [ 47] with eight parallel runs each over 106 generations starting with random trees and sampling of trees every 1000 generations.
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