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. 2022 Jul;8(26):eabn1767.
doi: 10.1126/sciadv.abn1767. Epub 2022 Jul 1.

Strong floristic distinctiveness across Neotropical successional forests

Catarina C Jakovac  1   2 Jorge A Meave  3 Frans Bongers  2 Susan G Letcher  4 Juan Manuel Dupuy  5 Daniel Piotto  6 Danaë M A Rozendaal  7   8 Marielos Peña-Claros  2 Dylan Craven  9 Braulio A Santos  10 Alexandre Siminski  11 Alfredo C Fantini  1 Alice C Rodrigues  12   13 Alma Hernández-Jaramillo  14 Alvaro Idárraga  15 André B Junqueira  16 Angelica María Almeyda Zambrano  17 Ben H J de Jong  18 Bruno Ximenes Pinho  19   20 Bryan Finegan  21 Carolina Castellano-Castro  22 Daisy Christiane Zambiazi  1 Daisy H Dent  23   24   25 Daniel Hernán García  22 Deborah Kennard  26 Diego Delgado  21 Eben N Broadbent  27 Edgar Ortiz-Malavassi  28 Eduardo A Pérez-García  3 Edwin Lebrija-Trejos  29 Erika Berenguer  30   31 Erika Marín-Spiotta  32 Esteban Alvarez-Davila  33 Everardo Valadares de Sá Sampaio  34 Felipe Melo  19 Fernando Elias  35 Filipe França  36 Florian Oberleitner  37 Francisco Mora  38 G Bruce Williamson  39   40 Gabriel Dalla Colletta  41 George A L Cabral  19 Géraldine Derroire  42 Geraldo Wilson Fernandes  43 Hans van der Wal  44 Heitor Mancini Teixeira  45 Henricus F M Vester  46 Hernando García  22 Ima C G Vieira  47 Jaider Jiménez-Montoya  48 Jarcilene S de Almeida-Cortez  19 Jefferson S Hall  49 Jerome Chave  50 Jess K Zimmerman  51 Jhon Edison Nieto  22 Joice Ferreira  52 Jorge Rodríguez-Velázquez  38 Jorge Ruíz  53 Jos Barlow  31 José Aguilar-Cano  22 José Luis Hernández-Stefanoni  5 Julien Engel  54 Justin M Becknell  55 Kátia Zanini  56 Madelon Lohbeck  2   57 Marcelo Tabarelli  19 Marco Antonio Romero-Romero  3 Maria Uriarte  58 Maria D M Veloso  59 Mário M Espírito-Santo  59 Masha T van der Sande  2 Michiel van Breugel  25   60   61 Miguel Martínez-Ramos  38 Naomi B Schwartz  62 Natalia Norden  22 Nathalia Pérez-Cárdenas  38   63 Noel González-Valdivia  64 Pascal Petronelli  42 Patricia Balvanera  38 Paulo Massoca  39 Pedro H S Brancalion  65 Pedro M Villa  13   66 Peter Hietz  67 Rebecca Ostertag  68 René López-Camacho  69 Ricardo G César  65 Rita Mesquita  39 Robin L Chazdon  70   71 Rodrigo Muñoz  2   3 Saara J DeWalt  72 Sandra C Müller  56 Sandra M Durán  73   74 Sebastião Venâncio Martins  75 Susana Ochoa-Gaona  18 Susana Rodríguez-Buritica  22 T Mitchell Aide  76 Tony Vizcarra Bentos  39 Vanessa de S Moreno  65 Vanessa Granda  21 Wayt Thomas  77 Whendee L Silver  78 Yule R F Nunes  59 Lourens Poorter  2
Affiliations

Strong floristic distinctiveness across Neotropical successional forests

Catarina C Jakovac et al. Sci Adv. 2022 Jul.

Abstract

Forests that regrow naturally on abandoned fields are important for restoring biodiversity and ecosystem services, but can they also preserve the distinct regional tree floras? Using the floristic composition of 1215 early successional forests (≤20 years) in 75 human-modified landscapes across the Neotropic realm, we identified 14 distinct floristic groups, with a between-group dissimilarity of 0.97. Floristic groups were associated with location, bioregions, soil pH, temperature seasonality, and water availability. Hence, there is large continental-scale variation in the species composition of early successional forests, which is mainly associated with biogeographic and environmental factors but not with human disturbance indicators. This floristic distinctiveness is partially driven by regionally restricted species belonging to widespread genera. Early secondary forests contribute therefore to restoring and conserving the distinctiveness of bioregions across the Neotropical realm, and forest restoration initiatives should use local species to assure that these distinct floras are maintained.

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Figures

Fig. 1.
Fig. 1.. Clustering of landscapes based on the species composition of early successional communities.
(A) Higher-level clusters (four floristic groups) explaining 60% of the variation in floristic species composition. (B) Lower-level groups explaining 90% of the variation in floristic species composition (14 floristic groups). The location of moist and dry forests as well as the two major biogeographical barriers [the Andes at the northwest of South America and the dry savannas (beige background)] are shown in (A) and (B). For each cluster level, the dendrogram provided shows the mean Simpson dissimilarity values and relationships among the four higher-level clusters (C) and among the 14 lower-level groups (D). Please note different scales of Simpson dissimilarity in (C) and (D). The consensus cluster with landscapes as tips is provided in fig. S1. CA, Central America; SA, South America.
Fig. 2.
Fig. 2.. Species frequency and occurrence across floristic groups.
(A) Contribution of each floristic group to the species shared across Neotropical early successional communities. The bars show the proportion of species shared between at least two floristic groups (434 species) that occur in a given floristic group. For example, the group Wet Central America contains 47% of the species shared with at least one other group. The number of landscapes included in each floristic group is indicated on the right side of the bars. (B) Rank-frequency curve for the 2163 species in the database. (C) List of the most widespread species, which occur in five or more floristic groups, and their occurrence in the 14 floristic groups. Species names are ordered according to the number of floristic groups they occur, followed by alphabetic order. Colors refer to the four higher-level floristic clusters in Fig. 1: Dry Forest—Caatinga (yellow), Southern South America (purple), Equatorial Moist Forests (orange), and Middle America (blue).
Fig. 3.
Fig. 3.. Relative importance of factors for the classification of floristic groups based on species occurrence.
Factors associated with the four higher-level clusters (A) and the 14 lower-level groups (B). The most important factors for predicting the classification are the ones that yield the largest decrease in Gini coefficient and in accuracy when they are left out of the model. Labels are provided for the significant factors.

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