| Full text | |
| Author(s): |
Regolin, Andre Luis
[1]
;
Ribeiro, Milton Cezar
[1]
;
Martello, Felipe
[2]
;
Melo, Geruza Leal
[3]
;
Sponchiado, Jonas
[3]
;
Campanha, Luis F. de Castro
[4]
;
Sugai, Larissa Sayuri Moreira
[4]
;
Silva, Thiago Sanna Freire
[5]
;
Caceres, Nilton Carlos
[6]
Total Authors: 9
|
| Affiliation: | [1] Univ Estadual Paulista UNESP, Spatial Ecol & Conservat Lab LEEC, Dept Biodivers, Inst Biosci, Campus Rio Claro, Sao Paulo - Brazil
[2] Univ Fed Acre UFAC, Grad Degree Program Ecol & Nat Resources Manageme, Rio Branco - Brazil
[3] Univ Fed Santa Maria UFSM, Lab Ecol & Biogeog, Santa Maria, RS - Brazil
[4] Inst Biosci, Sao Paulo - Brazil
[5] Univ Stirling, Div Biol & Environm Sci, Fac Nat Sci, Stirling - Scotland
[6] Univ Fed Santa Maria UFSM, Dept Ecol & Evolut, Santa Maria, RS - Brazil
Total Affiliations: 6
|
| Document type: | Journal article |
| Source: | Biotropica; v. 52, n. 5 MAY 2020. |
| Web of Science Citations: | 0 |
| Abstract | |
The effects of habitat fragmentation on different taxa and ecosystems are subject to intense debate, and disentangling them is of utmost importance to support conservation and management strategies. We evaluated the importance of landscape composition and configuration, and spatial heterogeneity to explain alpha- and beta-diversity of mammals across a gradient of percent woody cover and land use diversity. We expected species richness to be positively related to all predictive variables, with the strongest relationship with landscape composition and configuration, and spatial heterogeneity respectively. We also expected landscape to influence beta-diversity in the same order of importance expected for species richness, with a stronger influence on nestedness due to deterministic loss of species more sensitive to habitat disturbance. We analyzed landscape structure using: (a) landscape metrics based on thematic maps and (b) image texture of a vegetation index. We compared a set of univariate explanatory models of species richness using AIC, and evaluated how dissimilarities in landscape composition and configuration and spatial heterogeneity affect beta-diversity components using a Multiple Regression on distance Matrix. Contrary with our expectations, landscape configuration was the main driver of species richness, followed by spatial heterogeneity and last by landscape composition. Nestedness was explained, in order of importance, by spatial heterogeneity, landscape configuration, and landscape composition. Although conservation policies tend to focus mainly on habitat amount, we advocate that landscape management must include strategies to preserve and improve habitat quality and complexity in natural patches and the surrounding matrix, enabling landscapes to harbor high species diversity. in Portuguese is available with online material. (AU) | |
| FAPESP's process: | 15/25316-6 - Acoustic signaling assemblages: Structuring processes and implications for community assembly |
| Grantee: | Larissa Sayuri Moreira Sugai |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| FAPESP's process: | 17/15772-0 - The acoustic dimension of biological communities: Evolutionary and Ecological structuring processes |
| Grantee: | Larissa Sayuri Moreira Sugai |
| Support Opportunities: | Scholarships abroad - Research Internship - Doctorate |
| FAPESP's process: | 13/50421-2 - New sampling methods and statistical tools for biodiversity research: integrating animal movement ecology with population and community ecology |
| Grantee: | Milton Cezar Ribeiro |
| Support Opportunities: | Regular Research Grants |