| Full text | |
| Author(s): |
Conceicao, Katiane Silva
[1]
;
Ulrich, Werner
[2]
;
Ribeiro Diniz, Carlos Alberto
[3]
;
Rodrigues, Francisco Aparecido
[1]
;
de Andrade, Marinho Gomes
[1]
Total Authors: 5
|
| Affiliation: | [1] Univ Sao Paulo, Dept Matemat Aplicada & Estat, Inst Ciencias Matemat & Comp, Sao Carlos, SP - Brazil
[2] Nicholas Copernicus Univ, Dept Anim Ecol, Torun - Poland
[3] Univ Fed Sao Carlos, Dept Stat, BR-13560 Sao Carlos, SP - Brazil
Total Affiliations: 3
|
| Document type: | Journal article |
| Source: | PLoS One; v. 9, n. 8 AUG 29 2014. |
| Web of Science Citations: | 1 |
| Abstract | |
This paper proposes a statistical generalized species-area model (GSAM) to represent various patterns of species-area relationship (SAR), which is one of the fundamental patterns in ecology. The approach enables the generalization of many preliminary models, as power-curve model, which is commonly used to mathematically describe the SAR. The GSAM is applied to simulated data set of species diversity in areas of different sizes and a real-world data of insects of Hymenoptera order has been modeled. We show that the GSAM enables the identification of the best statistical model and estimates the number of species according to the area. (AU) | |
| FAPESP's process: | 13/26416-9 - Modelling of dynamical processes in complex networks |
| Grantee: | Francisco Aparecido Rodrigues |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 08/10613-1 - Zero-Modified Power Series Models |
| Grantee: | Katiane Silva Conceição |
| Support Opportunities: | Scholarships in Brazil - Doctorate |