J Plant Ecol ›› 2017, Vol. 10 ›› Issue (5): 859-868 .DOI: 10.1093/jpe/rtw091

• Research Articles • Previous Articles     Next Articles

Tree succession across a seasonally dry tropical forest and forest-savanna ecotone in northern Minas Gerais, Brazil

Polyanne A. Coelho1,*, Paola Ferreira Santos1, Eduardo de Paiva Paula1, Deborah M. G. Apgaua1, Bruno Gini Madeira1, Gisele Cristina de Oliveira Menino3, Yule Roberta Ferreira Nunes2, Rubens M. Santos1 and David Y. P. Tng1,4   

  1. 1 Department of Forest Sciences, Federal University of Lavras, C.P. 3037, CEP 37200-000, Lavras, Minas Gerais, Brazil; 2 Department of General Biology, State University of Montes Claros, C.P. 126, CEP 39401-089, Montes Claros, Minas Gerais, Brazil; 3 Instituto Federal Goiano, C.P. 66, CEP 75901–970, Rio Verde, Goiânia, Brazil; 4 Centre for Tropical Environmental and Sustainability Sciences, College of Marine and Environmental Sciences, James Cook University, 14–88 McGregor Rd, Smithfield QLD 4878, Cairns, Queensland, Australia
  • Received:2016-05-05 Accepted:2016-09-09 Published:2017-09-27
  • Contact: Coelho, Polyanne

Tree succession across a seasonally dry tropical forest and forest-savanna ecotone in northern Minas Gerais, Brazil

Abstract: Aims Understanding succession in tropical forest is an important aspect of vegetation science, but to date, successional processes in seasonally dry tropical forests (SDTFs) have received much less attention than evergreen humid tropical forests. We aim to fill this knowledge gap.
Methods We investigated vegetation succession in SDTF areas consisting of three different successional stages (early, intermediate, late), and a SDTF-savanna ecotone in the municipal district of Juramento, north of Minas Gerais State, Brazil. Using twelve 400 m 2 plots in each area, we compared vegetation parameters and structural variables (absolute density and basal area) and examined the floristic composition of the tree component to find gradients of change.
Important findings We found evidence of species turnover along a successional gradient, with the intermediate stage showing the highest species richness and diversity. This was accompanied with a significant increase in the number of tree individuals and basal area from the ?early to intermediate successional stage. However, the intermediate and late SDTF successional stages were more similar in structure and floristics. The ecotone was the most species rich and was similar to the intermediate SDTF and early successional stage in species richness and floristic composition respectively. These results will have implications for guiding SDTF management and recovery programs.

Key words: Caatinga, floristic Similarity, ecotone, forest succession, resilience

摘要:
Aims Understanding succession in tropical forest is an important aspect of vegetation science, but to date, successional processes in seasonally dry tropical forests (SDTFs) have received much less attention than evergreen humid tropical forests. We aim to fill this knowledge gap.
Methods We investigated vegetation succession in SDTF areas consisting of three different successional stages (early, intermediate, late), and a SDTF-savanna ecotone in the municipal district of Juramento, north of Minas Gerais State, Brazil. Using twelve 400 m 2 plots in each area, we compared vegetation parameters and structural variables (absolute density and basal area) and examined the floristic composition of the tree component to find gradients of change.
Important findings We found evidence of species turnover along a successional gradient, with the intermediate stage showing the highest species richness and diversity. This was accompanied with a significant increase in the number of tree individuals and basal area from the ?early to intermediate successional stage. However, the intermediate and late SDTF successional stages were more similar in structure and floristics. The ecotone was the most species rich and was similar to the intermediate SDTF and early successional stage in species richness and floristic composition respectively. These results will have implications for guiding SDTF management and recovery programs.