01970naa a2200289 a 450000100080000000500110000800800410001902400540006010000260011424501010014026000090024152010350025065000250128565000260131065300240133665300320136065300340139265300170142665300340144370000190147770000250149670000250152170000210154670000260156770000220159377300650161521589812023-11-30       2023    bl uuuu     u00u1 u    #d7 ahttps://doi.org/10.1016/j.foreco.2023.1214712DOI1 aOLIVEIRA, E. K. B. de  aRecruitment models after reduced impact logging in the Amazon rainforest.h[electronic resource]  c2023  aRecruitment models in rainforests are important for studies on forest management sustainability and can guide the assessment of remaining stocks and timber harvesting. Therefore, the objective of this study was to estimate recruitment after Reduced Impact Logging (RIL) by using two categories of models: a distance-independent individual-tree model (ITM) and a matrix model of forest dynamics or transition matrix (TMM). Data from continuous inventories conducted in a Dense Ombrophilous Forest in Paragominas, Par´a state, Brazil, were utilized. Two transects of 9 ha each were installed at an area with Reduced Impact Logging, the data was collected in 2005 (nine months after logging), then in 2006, 2008, 2010 and 2012. Considering a period of 8 years after RIL, the individual tree-based model and transition matrix give consistent predictions of the recruitment in the study area. However, we observed slight superiority by the ITM, which presented values closer to the real ones for the total number of trees per hectare.  aNatural regeneration  aRegeneração Natural  aCompetition indices  aIndividual tree-based model  aManejo florestal sustentável  aMatrix model  aSustainable forest management1 aREZENDE, A. V.1 aMURTA JÚNIOR, L. S.1 aFREITAS, L. J. M. de1 aCASTRO, R. V. O.1 aOLIVEIRA, M. V. N. d'1 aAZEVEDO, G. B. de  tForest Ecology and Managementgv. 549, Article 121471, 2023.