Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
Australian Journal of Botany Australian Journal of Botany Society
Southern hemisphere botanical ecosystems
RESEARCH ARTICLE

Species distribution modelling and climatic niche as tools to aid in the integrative taxonomy of a South American species complex in Chromolaena (Asteraceae, Eupatorieae)

Anderson Luiz Christ https://orcid.org/0000-0002-1876-5728 A * , Marcelo Reginato A , Jimi Naoki Nakajima B and Mara Rejane Ritter A
+ Author Affiliations
- Author Affiliations

A Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Botânica, Porto Alegre, Rio Grande do Sul 90650-001, Brazil.

B Universidade Federal de Uberlândia, Instituto de Biologia, Uberlândia, Minas Gerais 38400-902, Brazil.

* Correspondence to: andersonlchrist@gmail.com

Handling Editor: Margaret Byrne

Australian Journal of Botany https://doi.org/10.1071/BT23013
Submitted: 7 February 2023  Accepted: 13 November 2023  Published: 30 November 2023

© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing

Abstract

Context

The Chromolaena congesta complex is an informal group of taxa native to grasslands from south-eastern South America with numerous identification problems, currently under study using an integrative approach. Recent studies with morphological data have aided in defining some taxa, but many questions remain to be assessed, and there is much to gain from combining morphological data with other lines of evidence.

Aims

We investigated whether the species of the C. congesta complex could be circumscribed and differentiated according to climatic and distributional data and how these results compare to published morphological data.

Methods

We used a SDM approach and climatic envelope estimates of 12 taxa belonging to the C. congesta complex. To achieve that, we compiled a distributional database from herbarium specimen information and produced distribution models for each taxon by using MaxEnt and 19 bioclimatic variables.

Key results

We found that many species of the complex share similar predicted suitable distribution and climatic preferences, while also uncovering particular geographic and climatic patterns for C. ascendens and C. caaguazuensis. Our results also contributed with the circumscription of C. squarrulosa and provided data for further recognition of two taxonomic novelties.

Conclusions

Climatic and distributional data yielded interesting results for the taxonomy of this species complex, particularly when confronted with morphological data.

Implications

This study provided support for an apparently undescribed Chromolaena that merits recognition at species rank and the treatment of Eupatorium caaguazuense var. nervosum as a separate species from C. squarrulosa, while also supplying further evidence that morphologically diverse populations of C. squarrulosa should be treated as a single taxon.

Keywords: Chromolaena congesta complex, climatic envelope, Eupatorium, geographic distribution, integrative taxonomy, MaxEnt, Praxelinae, species delimitation, species distribution modeling.

References

Aiello-Lammens ME, Boria RA, Radosavljevic A, Vilela B, Anderson RP (2015) spThin: an R package for spatial thinning of species occurrence records for use in ecological niche models. Ecography 38(5), 541-545.
| Crossref | Google Scholar |

Andrade BO, Marchesi E, Burkart S, Setubal RB, Lezama F, Perelman S, Schneider AA, Trevisan R, Overbeck GE, Boldrini II (2018) Vascular plant species richness and distribution in the Río de la Plata grasslands. Botanical Journal of the Linnean Society 188, 250-256.
| Crossref | Google Scholar |

Andrade BO, Bonilha CL, Overbeck GE, Vélez-Martin E, Rolim RG, Bordignon SAL, Schneider AA, Ely CV, Lucas DB, Garcia EN, dos Santos ED, Torchelsen FP, Vieira MS, Silva Filho PJS, Ferreira PMA, Trevisan R, Hollas R, Campestrini S, Pillar VD, Boldrini II (2019) Classification of south Brazilian grasslands: implications for conservation. Applied Vegetation Science 22, 168-184.
| Crossref | Google Scholar |

Araújo MB, Guisan A (2006) Five (or so) challenges for species distribution modelling. Journal of Biogeography 33, 1677-1688.
| Crossref | Google Scholar |

Beck HE, Zimmermann NE, McVicar TR, Vergopolan N, Berg A, Wood EF (2018) Present and future Köppen–Geiger climate classification maps at 1-km resolution. Scientific Data 5, 180214.
| Crossref | Google Scholar | PubMed |

Beentje H (2010) ‘The Kew Plant Glossary: an illustrated dictionary of plant terms.’ (Royal Botanic Gardens, Kew: London, UK)

Booth TH, Nix HA, Busby JR, Hutchinson MF (2014) BIOCLIM: the first species distribution modelling package, its early applications and relevance to most current MAXENT studies. Diversity and Distributions 20, 1-9.
| Crossref | Google Scholar |

Cabrera AL, Holmes WC, McDaniel S (1996) Compositae III. Asteroideae, Eupatorieae. In ‘Flora del Paraguay. Vol. 25’. (Eds R Spichiger, L Ramella) pp. 1–349. (Conservatoire et Jardin Botaniques de la Ville de Genève: Geneva, Switzerland)

Cerrejón C, Valeria O, Mansuy N, Barbé M, Fenton NJ (2020) Predictive mapping of bryophyte richness patterns in boreal forests using species distribution models and remote sensing data. Ecologial Indicators 119, 106826.
| Crossref | Google Scholar |

Christ AL, Rebouças NC (2020) Chromolaena in Flora do Brasil 2020. (Jardim Botânico do Rio de Janeiro: Rio de Janeiro, Brazil) Available at http://floradobrasil.jbrj.gov.br/reflora/floradobrasil/FB16052 [Verified 5 May 2022]

Christ AL, Ritter MR (2019) A taxonomic study of Praxelinae (Asteraceae–Eupatorieae) in Rio Grande do Sul, Brazil. Phytotaxa 393(2), 141-197.
| Crossref | Google Scholar |

Christ AL, Saraiva DD, Nakajima JN, Ritter MR (2023) Morphometric studies suggest taxonomic changes in a species complex in Chromolaena (Asteraceae, Eupatorieae, Praxelinae). Acta Botanica Brasilica 37, e20220126.
| Crossref | Google Scholar |

Di Musciano M, Di Cecco V, Bartolucci F, Conti F, Frattaroli AR, Di Martino L (2020) Dispersal ability of threatened species affects future distributions. Plant Ecology 221(4), 265-281.
| Crossref | Google Scholar |

Dray S, Dufour AB (2007) The ade4 package: implementing the duality diagram for ecologists. Journal of Statistical Software 22, 1-20.
| Crossref | Google Scholar |

Franklin J (2013) Species distribution models in conservation biogeography: developments and challenges. Diversity and Distributions 19, 1217-1223.
| Crossref | Google Scholar |

Freire SE, Ariza Espinar L (2014) Chromolaena DC. In ‘Flora Argentina, Flora Vascular de la República Argentina, Dicotyledoneae, Asteraceae, 7 (1)’. (Eds FO Zuloaga, MJ Belgrano, AMR Anton) pp. 327–342. (Estudio Sigma S.R.L.: Buenos Aires, Argentina)

Heibl C, Calenge C (2018) phyloclim: integrating phylogenetics and climatic niche modeling. R package version 0.9.5. Available at https://CRAN.R-project.org/package=phyloclim [Verified 2 August 2022]

Hijmans RJ, Phillips S, Leathwick J, Elith J (2021) dismo: species distribution modeling. R package version 1.3–5. Available at https://CRAN.R-project.org/package=dismo [Verified 2 August 2022]

Köhler M, Esser LF, Font F, Souza-Chies TT, Majure LC (2020) Beyond endemism, expanding conservation efforts: what can new distribution records reveal? Perspectives in Plant Ecology, Evolution and Systematics 45, 125543.
| Crossref | Google Scholar |

Lentz DL, Bye R, Sánchez-Cordero V (2008) Ecological niche modeling and distribution of wild sunflower (Helianthus annuus L.) in Mexico. International Journal of Plant Sciences 169(4), 541-549.
| Crossref | Google Scholar |

Li Y, Wen J, Ren Y, Zhang J (2019) From seven to three: integrative species delimitation supports major reduction in species number in Rhodia section Trifida (Crassulaceae) on the Qinghai–Tibetan Plateau. Taxon 68(2), 268-279.
| Crossref | Google Scholar |

Mavárez J, Bézy S, Goeury T, Fernández A, Aubert S (2019) Current and future distributions of Espeletiinae (Asteraceae) in the Venezuelan Andes based on statistical downscaling of climatic variables and niche modelling. Plant Ecology & Diversity 12(6), 633-647.
| Crossref | Google Scholar |

Merow C, Smith MJ, Silander JA, Jr (2013) A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter. Ecography 36, 1058-1069.
| Crossref | Google Scholar |

Moroni P, O’Leary N, Sassone A (2019) Integrative taxonomy delimits species within the Duranta sprucei complex. Perspectives in Plant Ecology, Evolution and Systematics 41, 125495.
| Crossref | Google Scholar |

Navarro G, Molina JA, Vega S (2011) Soil factors determining the change in forests between dry and wet Chacos. Flora – Morphology, Distribution, Functional Ecology of Plants 206, 136-143.
| Crossref | Google Scholar |

Nygaard M, Kemppainen P, Speed JDM, Elven R, Flatberg KI, Galten LP, Yousefi N, Solstad H, Bendiksby M (2021) Combining population genomics and ecological niche modeling to assess taxon limits between Carex jemtlandica and C. lepidocarpa. Journal of Systematics and Evolution 59(4), 627-641.
| Crossref | Google Scholar |

Perez C (2019) Revisión taxonómica Chromolaena DC. (Asteraceae: Eupatorieae) en Uruguay. MSc Thesis, Universidad de la República, Montevideo, Uruguay.

Phillips SJ, Dudik M (2008) Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31, 161-175.
| Crossref | Google Scholar |

Prata EMB, Sass C, Rodrigues DP, Domingos FMCB, Specht CD, Damasco G, Ribas CC, Fine PVA, Vicentini A (2018) Towards integrative taxonomy in Neotropical botany: disentangling the Pagamea guianensis species complex (Rubiaceae). Botanical Journal of the Linnean Society 188, 213-231.
| Crossref | Google Scholar |

R Core Team (2022) ‘R: a language and environment for statistical computing.’ (R Foundation for Statistical Computing: Vienna, Austria) Available at https://www.R-project.org/ [Verified 2 August 2022]

Reginato M, Michelangeli FA (2019) Pleistocene range expansions might explain striking disjunctions between eastern Brazil, Andes and Mesoamerica in Leandra s.str. (Melastomataceae). Journal of Systematics and Evolution 57(6), 646-654.
| Crossref | Google Scholar |

Rodríguez-Correa H, Oyama K, MacGregor-Fors I, González-Rodríguez A (2015) How are oaks distributed in the Neotropics? A perspective from species turnover, areas of endemism, and climatic niches. International Journal of Plant Sciences 176(3), 222-231.
| Crossref | Google Scholar |

Thiers B (2023) Index herbariorum: a global directory of public herbaria and associated staff. New York Botanical Garden’s Virtual Herbarium. Available at http://sweetgum.nybg.org/science/ih/ [Verified 10 July 2023]

Tsoar A, Allouche O, Steinitz O, Rotem D, Kadmon R (2007) A comparative evaluation of presence-only methods for modelling species distribution. Diversity and Distributions 13, 397-405.
| Crossref | Google Scholar |

Viera Barreto JN, Pliscoff P, Donato M, Sancho G (2018) Disentangling morphologically similar species of the Andean forest: integrating results from multivariate morphometric analyses, niche modelling and climatic space comparison in Kaunia (Eupatorieae: Asteraceae). Botanical Journal of the Linnean Society 186, 259-272.
| Crossref | Google Scholar |

Warren DL, Glor RE, Turelli M (2008) Environmental niche equivalency versus conservatism: quantitative approaches to niche evolution. Evolution 62(11), 2868-2883.
| Crossref | Google Scholar | PubMed |

Williams JN, Seo C, Thorne J, Nelson JK, Erwin S, O’Brien JM, Schwartz MW (2009) Using species distribution models to predict new occurrences for rare plants. Diversity and Distributions 15, 565-576.
| Crossref | Google Scholar |

Zurell D, Franklin J, König C, et al. (2020) A standard protocol for reporting species distribution models. Ecography 43, 1261-1277.
| Crossref | Google Scholar |