Table 3 Criteria for critical appraisal and data extraction from studies selected after full text screening
Main sections | Criteria for critical appraisal | Data extracted |
|---|---|---|
Description of the study site | Latitude and longitude of sites | |
Data on climate, topography, geology and soils | ||
Population size, main cities, main economic activities | ||
Population | Type of forest indicated from which a standard list can be compiled for ease of comparison | |
Basal area, timber volume before logging, biomass, number of trees, and other inventory metrics (to be developed iteratively) | ||
Methods | Clear and repeatable methodology | Number of plots, treatments, blocks, replications (see also below) |
Adequate description of silvicultural treatments | Logging intensity (m3/ha, basal area removed, number of trees removed, biomass removed) | |
Replication - at least 3 plots or treatments | Number of plots/treatment | |
Outcome measured after intervention | Number of years after silvicultural intervention | |
Spatial autocorrelation between transects | ||
Results | Validity or reliability of data | Data for mean and SD |
Size of the sample | ||
Randomized sample | Y/N | |
Variables measured allow the effect of the intervention to be assessed | ||
% recovery of timber volume | ||
% recovery of biomass | ||
Biodiversity (floristic, faunistic, indicators) | ||
Other quantification or indicators of ecosystem services | ||
Measures of socio-economic outcome (including poverty, human health & well-being, livelihoods, social capital, social welfare, empowerment, equity, based on Pullin et al. (2013) [14]) | ||
Type of models (matrix, individual based) |