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Dryad

Callithrix aurita: Occurrence, allochthonous species and landscape attributes

Cite this dataset

Grosch Loureiro, Natasha; de Paula Guimarães-Lopes, Vanessa; Henrique Guimarães Rodrigues, Flávio; Lima Massara, Rodrigo (2023). Callithrix aurita: Occurrence, allochthonous species and landscape attributes [Dataset]. Dryad. https://doi.org/10.5061/dryad.8sf7m0ctc

Abstract

The buffy-tufted-ear marmoset (Callithrix aurita) is a small primate endemic to the Brazilian Atlantic Forest biome, and one of the 25 most endangered primates in the world, due to fragmentation, loss of habitat and invasion by allochthonous Callithrix species. Using occurrence data for C. aurita from published data papers, we employed model selection using Akaike Information Criterion corrected for small samples and cumulative AICc weight (w+) to evaluate whether fragment size, distance to fragments with allochthonous species, altitude, connectivity, and surrounding matrices influence the occurrence of C. aurita within its distributional range. Distance to fragments with C. jacchus (w+ = 0.94) and non-vegetated areas (w+ = 0.59) correlated negatively with C. aurita occurrence. Conversely, the percentage of agriculture and pasture mosaic (w+ = 0.61) and the percentage of savanna formation (w+ = 0.59) in the surrounding matrix correlated positively with C. aurita occurrence. The findings indicate that C. aurita is isolated in forest fragments surrounded by potentially inhospitable matrices, along with proximity of a more generalist and invasive species, thereby increasing the possibility of introgressive hybridization. The findings also highlighted the importance of landscape elements and allochthonous congeneric species for C. aurita conservation, besides indicating urgency for allochthonous species management. Finally, the approach used here can be applied to improve conservation studies of other endangered species, such as C. flaviceps, which is also endemic to the Brazilian Atlantic Forest and faces the same challenges.

Methods

The occurrence data was obtained by filtering 2 data papers:

  • Rosa, C.A., Ribeiro, B.R., Bejarano, V., Puertas, F.H., Bocchiglieri, A., Barbosa, A.L.S., Chiarello, A.G., Paglia, A.P., Pereira, A.A., Moreira, A.F.S., Souza, A.C., Pellegrin, A., Gatica, A., Medeiro, A.Z., Pereira, A.D., Braz, A.G., Yanosky, A., Valenzuela, A.E.J., ...Ribeiro, M.C. (2020). Neotropical alien mammals: a data set of occurrence and abundance of alien mammals in the Neotropics. Ecology, 101(11), e03115. https://doi.org/10.1002/ecy.3115
  • Culot, L., Pereira, L.A., Agostini, I., Almeida, M.A.B. de, Alves, R.S.C., Aximoff, I., Bager, A., Baldovino, M.C., Bella, T.R., Bicca-Marques, J.C., Braga, C., Brocardo, C.R., Campelo, A.K.N., Canale, G.R., Cardoso, J.C., Carrano, E., Casanova, D.C., Cassano, C.R., Castro, E., Cherem, J.J., …Galetti, M. (2019). Atlantic-Primates: a dataset of communities and occurrences of primates in the Atlantic Forests of South America. Ecology, 100(1), e02525. https://doi.org/10.1002/ecy.2525

We filtered by: study area (Minas Gerais, Rio de Janeiro, and São Paulo, states of C. aurita occurrence); by species (C. aurita, C. penicillata, and C. jacchus); by year (1985–2019); by location (only natural places); and by sampling method (only with empirical proof). Also, we selected the same amount of random points as control points. For the landscape analysis, we used QGIS and Fragstats to get: fragments area, connectivity (using two proxies: Euclidean nearest neighbor and Proximity index); mean and minimal distance to allochthonous species occurrence; mean altitude; and percentage of surrounding matrix types. 

Usage notes

The data is open using Excel or Libre office. To process the data you need to use: QGIS, Fragstats, and R software.

Funding

Coordenação de Aperfeicoamento de Pessoal de Nível Superior, Award: 88887.342104/2019-00