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Mapping functional tree regions of the Atlantic Forest: how much is left and opportunities for conservation

Published online by Cambridge University Press:  27 May 2022

José Luiz Alves Silva*
Affiliation:
Laboratório de Ciências Ambientais, Universidade Estadual do Norte Fluminense Darcy Ribeiro, Campos dos Goytacazes28013-602, Rio de Janeiro, Brazil
Alexandre F Souza
Affiliation:
Departamento de Ecologia, Universidade Federal do Rio Grande do Norte, Natal59078-970, Rio Grande do Norte, Brazil
Angela Pierre Vitória
Affiliation:
Laboratório de Ciências Ambientais, Universidade Estadual do Norte Fluminense Darcy Ribeiro, Campos dos Goytacazes28013-602, Rio de Janeiro, Brazil
*
Author for correspondence: Dr José Luiz Alves Silva, Email: luizecologia@gmail.com

Summary

Many biomes still lack an overall view of their macro-functional structure (i.e., natural biogeographical regions and zones), including the Atlantic Forest biodiversity hotspot. The effective design of protected areas depends on the spatial identification of units with ecologically distinct content, whether it be floristic, phylogenetic or functional. This study used a regionalization approach to identify the potential functional regions of the Atlantic Forest by interpolating functional data from forest remnants into the entire original occurrence area of the biome, including deforested lands. Conservation status was then estimated. Analysis of seven traits of leaf, wood, seed and plant size revealed that the biome is structured over 14 functional regions and three zones (clusters of regions). Functional regions represented specific combinations of traits rather than being characterized by extremely high or low values of a single trait. They retained an average of 29.5% of forest remnants (range: 7.63–54.66%) and 10.82% of protected areas (range: 0.35–35.78%). By analysing the functional space occupied by all regions, captured by two principal component analysis axes using the pixel-level information contained in interpolated trait maps, we showed that large parts of this space were not covered by forest remnants or protected areas and that the most represented regions had serious deficits in protected areas. Although the Serra do Mar mountain range in the south and south-east Atlantic Forest is relevant as a centre of species endemism and richness and has received considerable attention for carrying out ecological studies and creating protection areas, this range does not fully encompass the functional biodiversity of such a rich biome. Our results demonstrate the potential for combining regionalization and conservation approaches to unravel the macro-structures of biomes.

Type
Research Paper
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Foundation for Environmental Conservation

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References

Bellard, C, Leclerc, C, Leroy, B, Bakkenes, M, Veloz, S, Thuiller, W, Courchamp, F (2014) Vulnerability of biodiversity hotspots to global change. Global Ecology and Biogeography 23: 13761386.CrossRefGoogle Scholar
Bogoni, JA, Pires, JSR, Graipel, ME, Peroni, N, Peres, CA (2018) Wish you were here: how defaunated is the Atlantic Forest biome of its medium- to large-bodied mammal fauna? PLoS ONE 13: e0204515.CrossRefGoogle ScholarPubMed
Borcard, D, Gillet, F, Legendre, P (2011) Numerical Ecology with R. New York, NY, USA: Springer.CrossRefGoogle Scholar
Brown, JL, Paz, A, Reginato, M, Renata, CA, Assis, C, Lyra, M et al. (2020) Seeing the forest through many trees: multi-taxon patterns of phylogenetic diversity in the Atlantic Forest hotspot. Diversity and Distributions 26: 11601176.CrossRefGoogle Scholar
Bruelheide, H, Dengler, J, Purschke, O, Lenoir, J, Jiménez-Alfaro, B, Hennekens, SM et al. (2018) Global trait–environment relationships of plant communities. Nature Ecology and Evolution 2: 19061917.CrossRefGoogle ScholarPubMed
Burbano-Girón, J, Jantke, K, Molina-Berbeo, MA, Buriticá-Mejía, N, Urbina-Cardona, JN, Sánchez-Clavijo, LM, Etter, A (2022) An assessment of spatial conservation priorities for biodiversity attributes: composition, structure, and function of Neotropical biodiversity. Biological Conservation 265: 109421.CrossRefGoogle Scholar
Butler, EE, Datta, A, Flores-Moreno, H, Chen, M, Wythers, KR, Fazayeli, F et al. (2017) Mapping local and global variability in plant trait distributions. Proceedings of the National Academy of Sciences of the United States of America 114: E10937E10946.Google ScholarPubMed
Cantidio, LS, Souza, AF (2019) Aridity, soil and biome stability influence plant ecoregions in the Atlantic Forest, a biodiversity hotspot in South America. Ecography 42: 18871898.CrossRefGoogle Scholar
Cardoso, D, Moonlight, PW, Ramos, G, Oatley, G, Dudley, C, Gagnon, E et al. (2021) Defining biologically meaningful biomes through floristic, functional, and phylogenetic data. Frontiers in Ecology and Evolution 9: 116.CrossRefGoogle Scholar
CBD (2017) COP 10 – Decision strategic plan for biodiversity 2011–2020 [www document]. URL https://www.cbd.int/decision/cop/?id=12268 Google Scholar
Díaz, S, Kattge, J, Cornelissen, JHC, Wright, IJ, Lavorel, S, Dray, S et al. (2016) The global spectrum of plant form and function. Nature 529: 167171.CrossRefGoogle ScholarPubMed
ESRI (2012) ArcGIS Release 10.1. Redlands, CA, USA: Environmental Systems Research Institute.Google Scholar
Esser, LF, Neves, DM (2019) Habitat-specific impacts of climate change in the Mata Atlântica biodiversity hotspot. Diversity and Distributions 25: 18461856.CrossRefGoogle Scholar
Galetti, M, Gonçalves, F, Villar, N, Zipparro, VB, Paz, C, Mendes, C et al. (2021) Causes and consequences of large-scale defaunation in the Atlantic Forest. In: The Atlantic Forest (eds Marques, MCM, Grelle, CEV), pp. 297324. Cham, Switzerland: Springer.CrossRefGoogle Scholar
Gonçalves-Souza, D, Vilela, B, Phalan, B, Dobrovolski, R (2021) The role of protected areas in maintaining natural vegetation in Brazil. Science Advances 7: eabh2932.CrossRefGoogle ScholarPubMed
Hadley, W (2020) Tidyr: tidy messy data. R package version 1.1.2 [www document]. URL https://CRAN.R-project.org/package=tidyr Google Scholar
Inague, GM, Zwiener, VP, Marques, MCM (2021) Climate change threatens the woody plant taxonomic and functional diversities of the Restinga vegetation in Brazil. Perspectives in Ecology and Conservation 19: 5360.CrossRefGoogle Scholar
Joly, CA, Metzger, JP, Tabarelli, M (2014) Experiences from the Brazilian Atlantic Forest: ecological findings and conservation initiatives. New Phytologist 204: 459473.CrossRefGoogle ScholarPubMed
Kattge, J, Bönisch, G, Díaz, S, Lavorel, S, Prentice, IC, Leadley, P et al. (2020) TRY plant trait database – enhanced coverage and open access. Global Change Biology 26: 119188.CrossRefGoogle ScholarPubMed
Kreft, H, Jetz, W (2010) A framework for delineating biogeographical regions based on species distributions. Journal of Biogeography 37: 20292053.CrossRefGoogle Scholar
Ladle, RJ, Whittaker, RJ (eds) (2011) Conservation Biogeography. Hoboken, NJ, USA: Wiley-Blackwell.CrossRefGoogle Scholar
Leão, TCC, Fonseca, CR, Peres, CA, Tabarelli, M (2014) Predicting extinction risk of Brazilian Atlantic Forest angiosperms. Conservation Biology 28: 13491359.CrossRefGoogle ScholarPubMed
Lima, RAF, Oliveira, AA, Pitta, GR, Gasper, AL, Vibrans, AC, Chave, J et al. (2020) The erosion of biodiversity and biomass in the Atlantic Forest biodiversity hotspot. Nature Communications 11: 6347.CrossRefGoogle ScholarPubMed
Lohbeck, M, Bongers, F, Martinez-Ramos, M, Poorter, L (2016) The importance of biodiversity and dominance for multiple ecosystem functions in a human-modifed tropical landscape. Ecology 97: 27722779.CrossRefGoogle Scholar
Martinelli, G, Valente, ASM, Maurenza, D, Kutschenko, C, Judice, DM, Silva, DS et al. (2013) Avaliacão de risco de extinção de espécies da flora brasileira. In: Livro vermelho da flora do Brasil (eds Martinelli, G, Moraes, MA), pp. 6084. Rio de Janeiro, Brazil: CNC Flora, Jardim Botânico do Rio de Janeiro, Andrea Jakobsson Estúdio.Google Scholar
Mazel, F, Pennell, MW, Cadotte, MW, Diaz, S, Dalla Riva, GV, Grenyer, R et al. (2018) Prioritizing phylogenetic diversity captures functional diversity unreliably. Nature Communications 9: 2888.CrossRefGoogle ScholarPubMed
Memarsadeghi, N, Mount, DM, Netanyahu, NS, Moigne, JL (2007) A fast implementation of the ISODATA clustering algorithm. International Journal of Computational Geometry & Applications 17: 71103.CrossRefGoogle Scholar
Mittermeier, RA, Turner, WR, Larsen, FW, Brooks, TM, Gascon, C (2011) Global biodiversity conservation: the critical role of hotspots. In: Biodiversity Hotspots (eds Zachos, F, Habel, J), pp. 322. Berlin, Germany: Springer.CrossRefGoogle Scholar
Moura, MR, Argôlo, AJ, Costa, HC (2016) Historical and contemporary correlates of snake biogeographical subregions in the Atlantic Forest hotspot. Journal of Biogeography 44: 640650.CrossRefGoogle Scholar
Murray-Smith, C, Brummitt, NA, Oliveira-Filho, AT, Bachman, S, Moat, J, Lughadha, EMN, Lucas, EJ (2009) Plant diversity hotspots in the Atlantic coastal forests of Brazil. Conservation Biology 23: 151163.CrossRefGoogle ScholarPubMed
Neves, D, Dexter, KG, Pennington, RT, Valente, ASM, Bueno, ML, Eisenlohr, PV et al. (2017) Dissecting a biodiversity hotspot: the importance of environmentally marginal habitats in the Atlantic Forest domain of South America. Diversity and Distributions 23: 898909.CrossRefGoogle Scholar
Noss, R (1990) Indicators for monitoring biodiversity: a hierarchical approach. Conservation Biology 4: 355364.CrossRefGoogle Scholar
Pacheco, AA, Neves, ACO, Fernandes, GW (2018) Uneven conservation efforts compromise Brazil to meet the Target 11 of Convention on Biological Diversity. Perspectives in Ecology and Conservation 16: 4348.CrossRefGoogle Scholar
Pereira, JAA, Oliveira-Filho, AT, Eisenlohr, PV, Miranda, PLS, Filho, JPL (2014) Human impacts affect tree community features of 20 forest fragments of a vanishing Neotropical hotspot. Environmental Management 55: 296307.CrossRefGoogle ScholarPubMed
R Core Team (2020) R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing.Google Scholar
Ranta, P, Blom, T, Niemelā, J, Joensuu, E, Siitonen, M (1998) The fragmented Atlantic rain forest of Brazil: size, shape and distribution of forest fragments. Biodiversity and Conservation 7: 385403.CrossRefGoogle Scholar
Rezende, CL, Scarano, FR, Assad, ED, Joly, CA, Metzger, JP, Strassburg, BBN et al. (2018) From hotspot to hopespot: an opportunity for the Brazilian Atlantic Forest. Perspectives in Ecology and Conservation 16: 208214.CrossRefGoogle Scholar
Rezende, VL, Pontara, V, Bueno, ML, van den Berg, E, Silva de Miranda, PL, de Oliveira-Filho, AT, Dexter, KG (2020) Phylogenetic regionalization of tree assemblages reveals novel patterns of evolutionary affinities in the Atlantic Forest. Journal of Biogeography 48: 798810.CrossRefGoogle Scholar
Ribeiro, DR, Silva, JLA, Nascimento, MT, Vitória, AP (2021) Leaf habits and their relationship with leaf and wood traits in tropical dry forests. Trees – Structure and Function 36: 724.CrossRefGoogle Scholar
Ribeiro, MC, Metzger, JP, Martensen, AC, Ponzoni, FJ, Hirota, MM (2009) The Brazilian Atlantic Forest: how much is left, and how is the remaining forest distributed? Implications for conservation. Biological Conservation 142: 1141–115.CrossRefGoogle Scholar
Rickbeil, GJM, Coops, NC, Andrew, ME, Bolton, DK, Mahony, N, Nelson, TA (2014) Assessing conservation regionalization schemes: employing a beta diversity metric to test the environmental surrogacy approach. Diversity and Distributions 20: 503514.CrossRefGoogle Scholar
Salvador, S, Chan, P (2004) Determining the number of clusters/segments in hierarchical clustering/segmentation algorithms. In: Proceedings of the International Conference on Tools with Artificial Intelligence, pp. 576–584. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers (IEEE).Google Scholar
Silva, JLA, Souza, AF, Vitória, AP (2021a) Data used in the paper: historical and current environmental selection on functional traits of trees in the Atlantic Forest biodiversity hotspot [dataset]. In Journal of Vegetation Science. Zenodo [www document]. URL https://doi.org/10.5281/zenodo.4974695 CrossRefGoogle Scholar
Silva, JLA, Souza, AF, Vitória, AP (2021b) Historical and current environmental selection on functional traits of trees in the Atlantic Forest biodiversity hotspot. Journal of Vegetation Science 32: e13049.CrossRefGoogle Scholar
Silva, JMC, Tabarelli, M (2000) Tree species impoverishment and the future flora of the Atlantic forest of northeast Brazil. Nature 404: 7274.CrossRefGoogle Scholar
Silva-Souza, KJP, Souza, AF (2020) Woody plant subregions of the Amazon forest. Journal of Ecology 108: 23212335.CrossRefGoogle Scholar
Sobral-Souza, T, Vancine, MH, Ribeiro, MC, Lima-Ribeiro, MS (2018) Efficiency of protected areas in Amazon and Atlantic Forest conservation: a spatio-temporal view. Acta Oecologica 87: 17.CrossRefGoogle Scholar
Ter Steege, H, Pitman, NCA, Phillips, OL, Chave, J, Sabatier, D, Duque, A et al. (2006) Continental-scale patterns of canopy tree composition and function across Amazonia. Nature 443: 444447.CrossRefGoogle ScholarPubMed
Villela, DM, Nascimento, MT, Aragão, LEOC, Da Gama, DM (2006) Effect of selective logging on forest structure and nutrient cycling in a seasonally dry Brazilian Atlantic forest. Journal of Biogeography 33: 506516.CrossRefGoogle Scholar
Violle, C, Reich, PB, Pacala, SW, Enquist, BJ, Kattge, J (2014) The emergence and promise of functional biogeography. Proceedings on the National Academy of Sciences of the United States of America 111: 1369013696.CrossRefGoogle ScholarPubMed
Vitória, AP, Alves, LF, Santiago, LS (2019) Atlantic forest and leaf traits: an overview. Trees – Structure and Function 33: 15351547.CrossRefGoogle Scholar
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