Evaluating tree survival and modeling initial growth for Atlantic Forest restoration

ABSTRACT: Ecological restoration has become an important complementary practice to protect natural resources and preserve biodiversity. However, native species may be used in programs ways that do not optimize their performance. This research evaluated the survival model initial growth of 15 tree planted “filling” “diversity” lines post-planting phase a experiment subtropics Brazilian Atlantic Forest. We measured rate (%) one year after planting collar diameter (mm), total height (m), crown projection area (m²) volume (m³) first 48 months planting. Growth modeling for each variable was based on non-linear mathematical Logistic, Gompertz, Chapman-Richards models. Model selection variable/species supported by Akaike Information Criterion, standard error estimate, coefficient determination. The highest rates were reported Cordia americana, Gochnatia polymorpha, Inga uruguensis, Peltophorum dubium, Prunus sellowii e Zanthoxylum rhoifolium (91.7%) Solanum mauritianum (90.3%). with faster were, increasing order, Mimosa scabrella, Trema micrantha, Croton urucurana. With better understanding developmental potential species, it is possible increase functional diversity filling group. There no single capable describing variables analyzed different models needed describe characteristics species.