Abstract

ABSTRACT Monitoring analyses aim to understand the processes that drive changes in forest structure and, along with prediction studies, may assist in the management planning and conservation of forest remnants. The objective of this study was to analyze the forest dynamics in two Atlantic rainforest fragments in Pernambuco, Brazil, and to predict their future forest diameter structure using the Markov chain model. We used continuous forest inventory data from three surveys in two forest fragments of 87 ha (F1) and 388 ha (F2). We calculated the annual rates of mortality and recruitment, the mean annual increment, and the basal area for each of the 3-year periods. Data from the first and second surveys were used to project the third inventory measurements, which were compared to the observed values in the permanent plots using chi-squared tests (a = 0.05). In F1, a decrease in the number of individuals was observed due to mortality rates being higher than recruitment rates; however, there was an increase in the basal area. In this fragment, the fit to the Markov model was adequate. In F2, there was an increase in both the basal area and the number of individuals during the 6-year period due to the recruitment rate exceeding the mortality rate. For this fragment, the fit of the model was unacceptable. Hence, for the studied fragments, the demographic rates influenced the stem density more than the floristic composition. Yet, even with these intense dynamics, both fragments showed active growth.

Highlights

  • One of the first practices before the conservation or restoration of any vegetation remnant should be the collection of monitoring data, because this allows you to follow and understand the processes that result in the vegetation changes as a whole (POSO, 2006)

  • We calculated the annual rates of mortality and recruitment, the mean annual increment, and the basal area for each of the 3-year periods

  • In F1, a decrease in the number of individuals was observed due to mortality rates being higher than recruitment rates; there was an increase in the basal area

Read more

Summary

Introduction

One of the first practices before the conservation or restoration of any vegetation remnant should be the collection of monitoring data, because this allows you to follow and understand the processes that result in the vegetation changes as a whole (POSO, 2006). This monitoring data can be obtained from permanent plots, known as continuous forest inventory, which are required when forest temporal modifications are to be analyzed. Much of what is known about succession dynamics has resulted from permanent-plot studies (CHAZDON et al, 2007; HIGUCHI et al, 2008a). According to Vanclay (1994), a growth model is an abstraction of the natural dynamics of a forest stand that can include growth, mortality, and other changes in structure

Objectives
Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call