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The impact of fragmentation and density regulation on forest succession in the Atlantic rain forest

Author

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  • Groeneveld, J.
  • Alves, L.F.
  • Bernacci, L.C.
  • Catharino, E.L.M.
  • Knogge, C.
  • Metzger, J.P.
  • Pütz, S.
  • Huth, A.

Abstract

The Atlantic Rain Forest, an important biodiversity hot spot, has faced severe habitat loss since the last century which has resulted in a highly fragmented landscape with a large number of small forest patches (<100ha). For conservation planning it is essential to understand how current and future forest regeneration depends on ecological processes, fragment size and the connection to the regional seed pool. We have investigated the following questions by applying the forest growth simulation model FORMIND to the situation of the Atlantic Forest in the state of São Paulo, SE Brazil: (1) which set of parameters describing the local regeneration and level of density regulation can reproduce the biomass distribution and stem density of an old growth forest in a reserve? (2) Which additional processes apart from those describing the dynamics of an old growth forest, drive forest succession of small isolated fragments? (3) Which role does external seed input play during succession? Therefore, more than 300 tree species have been classified into nine plant functional types (PFTs), which are characterized by maximum potential height and shade tolerance. We differentiate between two seed dispersal modes: (i) local dispersal, i.e. all seedlings originated from fertile trees within the simulated area and (ii) external seed rain. Local seed dispersal has been parameterized following the pattern oriented approach, using biomass estimates of old growth forest. We have found that moderate density regulation is essential to achieve coexistence for a broad range of regeneration parameters. Considering the expected uncertainty and variability in the regeneration processes it is important that the forest dynamics are robust to variations in the regeneration parameters. Furthermore, edge effects such as increased mortality at the border and external seed rain have been necessary to reproduce the patterns for small isolated fragments. Overall, simulated biomass is much lower in the fragments compared to the continuous forest, whereas shade tolerant species are affected most strongly by fragmentation. Our simulations can supplement empirical studies by extrapolating local knowledge on edge effects of fragments to larger temporal and spatial scales. In particular our results show the importance of external seed rain and therefore highlight the importance of structural connectivity between regenerating fragments and mature forest stands.

Suggested Citation

  • Groeneveld, J. & Alves, L.F. & Bernacci, L.C. & Catharino, E.L.M. & Knogge, C. & Metzger, J.P. & Pütz, S. & Huth, A., 2009. "The impact of fragmentation and density regulation on forest succession in the Atlantic rain forest," Ecological Modelling, Elsevier, vol. 220(19), pages 2450-2459.
  • Handle: RePEc:eee:ecomod:v:220:y:2009:i:19:p:2450-2459
    DOI: 10.1016/j.ecolmodel.2009.06.015
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    References listed on IDEAS

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    1. William F. Laurance & Patricia Delamônica & Susan G. Laurance & Heraldo L. Vasconcelos & Thomas E. Lovejoy, 2000. "Rainforest fragmentation kills big trees," Nature, Nature, vol. 404(6780), pages 836-836, April.
    2. Kyle E. Harms & S. Joseph Wright & Osvaldo Calderón & Andrés Hernández & Edward Allen Herre, 2000. "Pervasive density-dependent recruitment enhances seedling diversity in a tropical forest," Nature, Nature, vol. 404(6777), pages 493-495, March.
    3. Norman Myers & Russell A. Mittermeier & Cristina G. Mittermeier & Gustavo A. B. da Fonseca & Jennifer Kent, 2000. "Biodiversity hotspots for conservation priorities," Nature, Nature, vol. 403(6772), pages 853-858, February.
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    1. Pütz, S. & Groeneveld, J. & Alves, L.F. & Metzger, J.P. & Huth, A., 2011. "Fragmentation drives tropical forest fragments to early successional states: A modelling study for Brazilian Atlantic forests," Ecological Modelling, Elsevier, vol. 222(12), pages 1986-1997.
    2. Radchuk, Viktoriia & Johst, Karin & Groeneveld, Jürgen & Grimm, Volker & Schtickzelle, Nicolas, 2013. "Behind the scenes of population viability modeling: Predicting butterfly metapopulation dynamics under climate change," Ecological Modelling, Elsevier, vol. 259(C), pages 62-73.
    3. Wu, Mia M. & Liang, Yu & Taubert, Franziska & Huth, Andreas & Zhang, Min & Wang, Xugao, 2023. "Sensitivity of forest composition and productivity to climate change in mixed broadleaved-Korean pine forest of Northeastern China," Ecological Modelling, Elsevier, vol. 483(C).
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    5. Fischer, Rico & Bohn, Friedrich & Dantas de Paula, Mateus & Dislich, Claudia & Groeneveld, Jürgen & Gutiérrez, Alvaro G. & Kazmierczak, Martin & Knapp, Nikolai & Lehmann, Sebastian & Paulick, Sebastia, 2016. "Lessons learned from applying a forest gap model to understand ecosystem and carbon dynamics of complex tropical forests," Ecological Modelling, Elsevier, vol. 326(C), pages 124-133.

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