Callithrix aurita: Occurrence, allochthonous species and landscape attributes

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.