Evaluating tree survival and modeling initial growth for Atlantic Forest restoration

编号 030038102

推送时间 20230206

研究领域 森林经理 

年份 2022 

类型 期刊 

语种 西班牙

标题 Evaluating tree survival and modeling initial growth for Atlantic Forest restoration

来源期刊 CIENCIA RURAL

期 第381期

发表时间 20221121

关键词 subtropical forest;  reforestation;  mathematic models; 

摘要 Ecological restoration has become an important complementary practice to protect natural resources and preserve biodiversity. However, native species may be used in restoration programs in ways that do not optimize their performance. This research evaluated the survival and to model the initial?growth?of 15 native tree species planted in "filling" and "diversity" lines in the post-planting phase of a restoration experiment in the subtropics of the Brazilian Atlantic?Forest. We measured survival rate (%) one year after planting and collar diameter (mm), total height (m), crown projection area (m(2)) and crown volume (m(3)) in the first 48 months after planting.?Growth?modeling for each variable and species was based on the non-linear mathematical Logistic, Gompertz, and Chapman-Richards models. Model selection for each variable/species was supported by the Akaike Information Criterion, standard error of the estimate, and coefficient of determination. The highest survival rates were reported for Cordia americana, Gochnatia polymorpha, Inga uruguensis, Peltophorum dubium, Prunus sellowii e Zanthoxylum rhoifolium (91.7%) and for Solanum mauritianum (90.3%). The species with faster?growth?were, by increasing order, Mimosa scabrella, Trema micrantha, Solanum mauritianum and Croton urucurana. With a better understanding of the initial developmental potential of tree species, it is possible to increase the species and functional diversity of the filling group. There was no single model capable of describing the variables analyzed and different models were needed to describe different characteristics and species.

服务人员 付贺龙

服务院士 唐守正

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