Effective population size of broad-snouted caiman (Caiman latirostris) in Brazil: A historical and spatial perspective

ZUCOLOTO, RODRIGO BARBAN; BOMFIM, GILBERTO CAFEZEIRO; DE CAMPOS FERNANDES, FLORA MARIA; SCHNADELBACH, ALESSANDRA SELBACH; PIÑA, CARLOS IGNACIO; VERDADE, LUCIANO M.

Global Ecology and Conservation

Elsevier

Año: 2021 vol. 28

2351-9894

Caiman latirostris has a large geographic distribution, that includes Argentina, Bolivia, Brazil,Paraguay, and Uruguay. In Brazil illegal hunting and land use change have caused populationdecline, relatively well documented in the last three decades. Due to such circumstances, theestimate of species effective population size might help analyze its viability. Single-sample estimator was used to estimate current effective population size (Ne) of broad-snouted caimanpopulations in representative areas of the species range in Brazil. For the analyzes, genotypespreviously obtained were used for subpopulations of the captive colony of the University of S? aoPaulo (USP) and for wild subpopulations. The microsatellites used were Amiμ8, Amiμ11, Amiμ13,Amiμ20, Claμ2, Claμ5, Claμ6, Claμ7, Claμ8, Claμ9 and Claμ10. The 11 loci analyzed produced18.27 alleles on average. Wild populations showed signifcant genic and genotypic differentiationamong them (p < 0.01). Population structure analyses (Rho-statistics) at Genepop for all loci was0.376. The effective number of population sizes (Ɵ, the Ne estimator of Migrate-n software) ofCaiman latirostris populations from the captive colony at the USP was 117.1 (N = 7) for NRF,115.2 (N = 4) for Fm1, and 107.5 (N = 4) for Fm5, on the oposite side, the mean value of theta(Ɵ) was 7.7 (N = 51) for the Atlantic SE basin wild population, 9.4 (N = 42) for the Atlantic N/NEbasin wild population and 9.6 (N = 91) for the Paran´ a basin wild population. The mean numberof migrants (M of Migrate-n software) varied from 1.7 to 1.9 estimated by migrate-n are comparable to 1.3 estimated by Genepop. It is observed that in most wild population only few adultseffectively contribute to genetic variation. The following guidlines are proposed as management actions: (1) an update of population sampling; (2) redefnition, delimitation and conservation ofnatural habitats; and (3) new conservation genetic studies with special attention to genetic diversity recovery.