Structure and diversity of the Araucaria forest in southern Brazil: biotic homogenisation hinders the recognition of floristic assemblages related to altitude

References

• APG (The Angiosperm Phylogeny Group). 2016. An update of the Angiosperm Phylogeny Group classification for the orders and families of flowering plants: APG IV. Botanical Journal of the Linnean Society 181: 1–20. doi: 10.1111/boj.12385
   Web of Science ®Google Scholar
• Backes A. 2009. Distribuição geográfica atual da Floresta com Araucária: condicionamento climático. In: Fonseca CR, Souza AF, Leal-Zanchet AM, Dutra T, Backes A, Ganado G (eds), Floresta com Araucária: ecologia, conservação e desenvolvimento sustentável. Ribeirão Preto: Editora Holos. pp 39–44.
   Google Scholar
• Borcard D, Gillet F, Legendre P. 2011. Numerical ecology with R. New York: Springer.
   Google Scholar
• Box EO, Fujiwara K. 2013. Vegetation types and their broad-scale distribution. In: Van der Maarel, Franklin J (eds), Vegetation ecology. Oxford: John Wiley and Sons. pp 455–485.
   Google Scholar
• Cazelles K, Mouquet N, Mouillot D, Gravel D. 2015. On the integration of biotic interaction and environmental constraints at the biogeographical scale. Ecography 39: 921–931. doi: 10.1111/ecog.01714
   Web of Science ®Google Scholar
• Chave J, Muller-Landau HC, Baker TR, Easdale TA, ter Steege H, Webb CO. 2006. Regional and phylogenetic variation of wood density across 2456 neotrofpical tree species. Ecological Applications 16: 2356–2367. doi: 10.1890/1051-0761(2006)016[2356:RAPVOW]2.0.CO;2
   PubMed Web of Science ®Google Scholar
• Chave J, Réjou-Méchain M, Búrquez A, Chidumayo E, Colgan MS, Delitti WBC, et al. 2014. Improved allometric models to estimate the aboveground biomass of tropical trees. Global Change Biology 20: 3177–3190. doi: 10.1111/gcb.12629
   PubMed Web of Science ®Google Scholar
• Chebez JC, Hilgert N. 2003. Brief history of conservation in the Paraná Forest. In: Galindo-Leal C, Câmara IG (eds), The Atlantic Forest of South America: biodiversity status, threats, and outlook. Washington, DC: Island Press. pp 141–159.
   Google Scholar
• Dray S, Dufour A-B. 2007. The ade4 package: implementing the duality diagram for ecologists. Journal of Statistical Software 22(4): 1–20. doi: 10.18637/jss.v022.i04
   Web of Science ®Google Scholar
• Eisenlohr PV, Alves LF, Bernacci LC, Padgurschi MCG, Torres RB, Prata EMB et al. 2013. Disturbances, elevation, topography and spatial proximity drive vegetation patterns along an altitudinal gradient of a top biodiversity hotspot. Biodiversity and Conservation 22: 2767–2783. doi: 10.1007/s10531-013-0553-x
   Web of Science ®Google Scholar
• Eisenlohr PV, Oliveira-Filho AT. 2014. Tree species composition in areas of Atlantic Forest in southeastern Brazil is consistent with a new system for classifying the vegetation of South America. Acta Botanica Brasilica 28: 227–233. doi: 10.1590/S0102-33062014000200009
   Web of Science ®Google Scholar
• Falkenberg D. 2003. Matinhas nebulares e vegetação rupícola dos Aparados da Serra Geral (SC/RS), sul do Brasil. PhD thesis, Universidade Estadual de Campinas, Brazil.
   Google Scholar
• Gasper AL, Sevegnani L, Vibrans AC, Sobral M, Uhlmann A, Lingner DV et al. 2011. Inventário de Dicksonia sellowiana Hook. em Santa Catarina. Acta Botanica Brasilica 25: 776–784 [in Portuguese with English abstract]. doi: 10.1590/S0102-33062011000400005
   Web of Science ®Google Scholar
• Gasper AL, Sevegnani L, Vibrans AC, Sobral M, Uhlmann A, Lingner DV et al. 2013. Inventário Florístico Florestal de Santa Catarina: espécies da Floresta Ombrófila Mista. Rodriguésia 64: 201–210 [in Portuguese with English abstract]. doi: 10.1590/S2175-78602013000200001
   Google Scholar
• Higuchi P, Silva AC, Ferreira TS, Souza ST, Gomes JP, Silva KM et al. 2012. Floristic composition and phytogeography of the tree component of Araucaria Forest fragments in southern Brazil. Brazilian Journal of Botany 35: 145–157. doi: 10.1590/S1806-99592012000200004
   Web of Science ®Google Scholar
• Hurley C. 2019. gclus: clustering graphics. R package version 1.3.2. Available at https://CRAN.R-project.org/package=gclus [accessed 30 April 2019].
   Google Scholar
• IBGE (Instituto Brasileiro de Geografia e Estatística). 2012. Manual técnico da vegetação brasileira. Brasília: IBGE [in Portuguese].
   Google Scholar
• Jarenkow JA, Budke JC. 2009. Padrões florísticos e análise estrutural de remanescentes florestais com Araucaria angustifolia no Brasil. In: Fonseca CR, Souza AF, Leal-Zanchet AM, Dutra T, Backes A, Ganado G (eds), Floresta com Araucária: ecologia, conservação e desenvolvimento sustentável. Ribeirão Preto: Editora Holos. pp 113–126.
   Google Scholar
• Jost L. 2006. Entropy and diversity. Oikos 113: 363–375. doi: 10.1111/j.2006.0030-1299.14714.x
   Web of Science ®Google Scholar
• Klein RM. 1978. Mapa fitogeográfico do Estado de Santa Catarina. In: Reitz R (ed.), Flora ilustrada Catarinense. Itajaí: Herbário Barbosa Rodrigues. pp 1–24 [in Portuguese].
   Google Scholar
• Klein RM. 1984. Aspectos dinâmicos da vegetação do Sul do Brasil. Sellowia 36: 5–54 [in Portuguese].
   Google Scholar
• Lawton RO. 1982. Wind stress and elfin stature in a montane rain forest tree: an adaptive explanation. American Journal of Botany 69: 1224–1230. doi: 10.1002/j.1537-2197.1982.tb13367.x
   Web of Science ®Google Scholar
• Legendre P, Gallagher ED. 2001. Ecologically meaningful transformations for ordination of species data. Oecologia 129: 271–280. doi: 10.1007/s004420100716
   PubMed Web of Science ®Google Scholar
• Leite PF. 2002. Contribuição ao conhecimento fitoecológico do sul do Brasil. Ciência e Ambiente 24: 51–73 [in Portuguese].
   Google Scholar
• Lieberman D, Lieberman M, Peralta R, Hartshorn GS. 1996. Tropical forest structure and composition on a large-scale altitudinal gradient in Costa Rica. Journal of Ecology 84: 137–152. doi: 10.2307/2261350
   Web of Science ®Google Scholar
• Maçaneiro JP, Gasper AL, Schorn LA, Galvão F. 2017. Few dominant native woody species: how subtropical rainforest successional process acts on abandoned pastures in southern Brazil. Applied Ecology and Environmental Research 15: 1633–1676. doi: 10.15666/aeer/1504_16331676
   Web of Science ®Google Scholar
• Maçaneiro JP, Oliveira LZ, Seubert RC, Eisenlohr PV, Schorn LA. 2016. More than environmental control at local scales: do spatial processes play an important role in floristic variation in subtropical forests? Acta Botanica Brasilica 30: 183–192. doi: 10.1590/0102-33062015abb0294
   Web of Science ®Google Scholar
• McElhinny C, Gibbons P, Brack C, Bauhus J. 2005. Forest and woodland stand structural complexity: its definition and measurement. Forest Ecology and Management 218: 1–24. doi: 10.1016/j.foreco.2005.08.034
   Web of Science ®Google Scholar
• McRoberts RE, Winter S, Chirici G, La Point E. 2012. Assessing forest naturalness. Forest Science 58: 294–309. doi: 10.5849/forsci.10-075
   Web of Science ®Google Scholar
• Morrone JJ. 2010. América do Sul e geografia da vida: comparação de algumas propostas de regionalização. In: Carvalho CJB, Almeida EAB (eds), Biogeografia da América do Sul: padrões e processos. São Paulo: Editora Roca. pp 14–40.
   Google Scholar
• Mueller-Dombois H, Ellenberg D. 1974. Aims and methods of vegetation ecology. New York: Wiley.
   Google Scholar
• Mura M, McRoberts RE, Chirici G, Marchetti M. 2015. Estimating and mapping forest structural diversity using airborne laser scanning data. Remote Sensing of Environment 170: 133–142. doi: 10.1016/j.rse.2015.09.016
   Web of Science ®Google Scholar
• Oksanen J, Blanchet FG, Friendly M, Kindt R, Legendre P, McGlinn D et al. 2019. vegan: community ecology package. R package version 2.5-4. Available at: https://CRAN.R-project.org/package=vegan [accessed 30 April 2019].
   Google Scholar
• Oliveira LZ, Gasper AL, Lingner DV, Sevegnani L, Vibrans AC. 2019. Secondary subtropical Atlantic forests shelter a surprising number of rare tree species: outcomes of an assessment using spatially unbiased data. Biodiversity and Conservation 28: 751–768. doi: 10.1007/s10531-018-01690-8
   Web of Science ®Google Scholar
• Oliveira-Filho AT. 2009. Classificação das fitofisionomias da América do Sul cisandina tropical e subtropical: proposta de um novo sistema – prático e flexível – ou uma injeção a mais de caos? Rodriguésia 60: 237–258 [in Portuguese with English abstract]. doi: 10.1590/2175-7860200960201
   Google Scholar
• Oliveira-Filho AT. 2015. Um sistema de classificação fisionômico- ecológico da vegetação neotropical: segunda aproximação. In: Eisenlohr PV, Felfili JM, Melo MMRF, Andrade LA, Meira Neto JAA (eds), Fitossociologia no Brasil: métodos e estudos de casos, vol. 2. Viçosa: Editora UFV. pp 452–473 [in Portuguese].
   Google Scholar
• Oliveira-Filho AT, Budke JC, Jarenkow JA, Eisenlohr PV, Neves DRM. 2015. Delving into the variations in tree species composition and richness across South American subtropical Atlantic and Pampean forests. Journal of Plant Ecology 8: 242–260. doi: 10.1093/jpe/rtt058
   Web of Science ®Google Scholar
• Oliveira-Filho AT, Fontes MAL. 2000. Patterns of floristic differentiation among Atlantic forests in southeastern Brazil and the influence of climate. Biotropica 32: 793–810. doi: 10.1111/j.1744-7429.2000.tb00619.x
   Web of Science ®Google Scholar
• Parodi LR. 2002. Las Regiones Fitogeográficas Argentinas. Ciência e Ambiente 24: 25–50 [in Portuguese].
   Google Scholar
• PPG (The Pteridophyte Phylogeny Group). 2016. A community-derived classification for extant lycophytes and ferns. Journal of Systematics and Evolution 54: 563–603. doi: 10.1111/jse.12229
   Web of Science ®Google Scholar
• R Core Team. 2018. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing.
   Google Scholar
• Rousseeuw PJ. 1987. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. Journal of Computational and Applied Mathematics 20: 53–65. doi: 10.1016/0377-0427(87)90125-7
   Web of Science ®Google Scholar
• Sampaio MB, Guarino ESG. 2007. Efeitos do pastoreio de bovinos na estrutura populacional de plantas em fragmentos de Floresta Ombrófila Mista. Revista Árvore 31: 1035–1046 [in Portuguese with English abstract]. doi: 10.1590/S0100-67622007000600008
   Google Scholar
• Sanchez M, Pedroni F, Eisenlohr PV, Oliveira-Filho AT. 2013. Changes in tree community composition and structure of Atlantic rain forest on a slope of the Serra do Mar range, southeastern Brazil, from near sea level to 1000 m of altitude. Flora 208: 184–196. doi: 10.1016/j.flora.2013.03.002
   Web of Science ®Google Scholar
• Santos HG, Jacomine PKT, Anjos LHC, Oliveira VA, Lumbreras JF, Coelho MR, et al. 2018. Sistema brasileiro de classificação de Solos (5th edn). Brasília: Embrapa [in Portuguese].
   Google Scholar
• Scaranello MAS, Alves LF, Vieira SA, Camargo PB, Joly CA, Martinelli LA. 2012. Height-diameter relationships of tropical Atlantic moist forest trees in southeastern Brazil. Scientia Agricola 69: 26–37. doi: 10.1590/S0103-90162012000100005
   Web of Science ®Google Scholar
• Schaaf LB, Figueiredo Filho A, Galvão F, Sanquetta CR. 2006. Alteração na estrutura diamétrica de uma floresta ombrófila mista no período entre 1979 e 2000. Revista Árvore 30: 283–295 [in Portuguese with English abstract]. doi: 10.1590/S0100-67622006000200016
   Google Scholar
• Sevegnani L, Uhlmann A, Gasper AL, Meyer L, Vibrans AC. 2016. Climate affects the structure of mixed rain forest in southern sector of Atlantic domain in Brazil. Acta Oecologica 77: 109–117. doi: 10.1016/j.actao.2016.10.002
   Web of Science ®Google Scholar
• Soil Survey Staff. 1999. Soil taxonomy: a basic system of soil classification for making and interpreting soil surveys (2nd edn). Washington, DC: US Department of Agriculture.
   Google Scholar
• Sühs RB, Hoeltgebaum MP, Nuernberg-Silva A, Fiaschi P, Neckel-Oliveira S, Peroni N. 2019. Species diversity, community structure and ecological traits of trees in an upper montane forest, southern Brazil. Acta Botanica Brasilica 33: 153–162. doi: 10.1590/0102-33062018abb0250
   Web of Science ®Google Scholar
• Tabarelli M, Mantovani W, Peres CA. 1999. Effects of habitat fragmentation on plant guild structure in the montane Atlantic forest of southeastern Brazil. Biological Conservation 91: 119–127. doi: 10.1016/S0006-3207(99)00085-3
   Web of Science ®Google Scholar
• Uller HF, Oliveira LZ, Vibrans AC, Klitzke AR, Eleotério JR. 2019. Aboveground biomass quantification and tree-level prediction models for the Brazilian subtropical Atlantic Forest. Southern Forests. DOI: 10.2989/00306525.2019.1581498.
   Web of Science ®Google Scholar
• Veloso HP, Rangel Filho ALR, Lima JCA. 1991. Classificação da vegetação brasileira, adaptada a um sistema universal. Rio de Janeiro: IBGE [in Portuguese].
   Google Scholar
• Vibrans AC, Gasper AL, Gessner CM, Lingner DV, Sabbagh S, Aguiar MD, Orsi V. 2017. Sinflor v.1.0 – Sistema de Gerenciamento de dados do IFFSC. Available at http://www.furb.br/sinflor/ [accessed January 2017].
   Google Scholar
• Vibrans AC, Gasper AL, Moser P, Oliveira LZ, Lingner D, Sevegnani L. 2020. Insights from a large-scale systematic inventory in the southern Brazilian Atlantic Forest. Scientia Agricola 77. DOI: 10.1590/1678-992x-2018-0036.
   Web of Science ®Google Scholar
• Vibrans AC, McRoberts RE, Moser P, Nicoletti AL. 2013. Using satellite image-based maps and ground inventory data to estimate the area of the remaining Atlantic forest in the Brazilian state of Santa Catarina. Remote Sensing of Environment 130: 87–95. doi: 10.1016/j.rse.2012.10.023
   Web of Science ®Google Scholar
• Vibrans AC, Sevegnani L, Uhlmann A, Schorn LA, Sobral M, Gasper AL et al. 2011. Structure of mixed ombrophyllous forests with Araucaria angustifolia (Araucariaceae) under external stress in southern Brazil. Revista de Biologia Tropical 59: 1371–1387.
   PubMed Web of Science ®Google Scholar
• Zamorano-Elgueta C, Cayuela L, González-Espinosa M, Lara A, Parra-Vázquez MR. 2012. Impacts of cattle on the South American temperate forests: challenges for the conservation of the endangered monkey puzzle tree (Araucaria araucana) in Chile. Biological Conservation 152: 110–118. doi: 10.1016/j.biocon.2012.03.037
   Web of Science ®Google Scholar
• Zanne AE, Lopez-Gonzalez G, Coomes DA, Ilic J, Jansen S, Lewis SL et al. 2009. Global wood density database. Dryad. Available at http://hdl.handle.net/10255/dryad.235 [accessed March 2016].
   Google Scholar