Assessment of the restoration of a degraded semi-humid evergreen broadleaf forest ecosystem by combined single-indicator and comprehensive model method

We conducted a long-term restoration experiment in the degraded ecosystems of a semi-humid evergreen broadleaf forest in Muding County, Yunan Province, China. We used single-indicator assessment and our newly established comprehensive assessment model to compare the effects of four types of management (different historical disturbances + restoration measures) on forest restoration based on a vegetation survey. (1) Species richness in each of the four restoring communities was still lower than that of the zonal forest. There was a compensatory effect of species richness among different layers within communities. Restoration management by natural succession was clearly efficient at restoring species richness and composition, but the effect of disturbance history was minor. Human-assisted restoration had a great effect on biomass accumulation and model tree growth. Plant density was also affected by the different management types, which progressively led to differences in model tree growth and biomass accumulation. (2) The comprehensive assessment model, a simple method based on the restoration mechanism, can precisely quantify the overall restoration of ecosystems, historical disturbance and actual disturbance, using only one set of data. Restoration index (Rd), turning-point restoration index (R0), restoration-effect index (Ra), turning-point disturbance index (D0), actual disturbance index (Dr) and overcoming disturbance index (Da) presented gradual changes in the four restoring communities. The combined single-indicator and comprehensive model method fully assessed the restoration of degraded ecosystems in a semi-humid evergreen broadleaf forest.