Unveiling geographical gradients of species richness from scant occurrence data
| Autor: | Davi Mello Cunha Crescente Alves, Eduardo Vinícius da Silva Oliveira, Adauto de Souza Ribeiro, Sidney F. Gouveia, Anderson Aires Eduardo, José Alexandre Felizola Diniz-Filho, Ricardo Dobrovolski, Fabricio Villalobos, Taiguã Corrêa Pereira, Juliana Stropp, João Fabrício Mota Rodrigues |
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| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
Global and Planetary Change Ecology business.industry 010604 marine biology & hydrobiology Ecology (disciplines) Biodiversity Distribution (economics) Sampling (statistics) 010603 evolutionary biology 01 natural sciences Geography Taxon Paleoecology Species richness business Spatial analysis Ecology Evolution Behavior and Systematics |
| Zdroj: | Global Ecology and Biogeography. 29:748-759 |
| ISSN: | 1466-8238 1466-822X |
| DOI: | 10.1111/geb.13055 |
| Popis: | AIM: Despite longstanding investigation, the gradients of species richness remain unknown for most taxa because of shortfalls in knowledge regarding the quantity and distribution of species. Here, we explore the ability of a geostatistical interpolation model, regression‐kriging, to recover geographical gradients of species richness. We examined the technique with an in silico gradient of species richness and evaluated the effect of different configurations of knowledge shortfalls. We also took the same approach for empirical data with large knowledge gaps, the infraorder Furnariides of suboscine birds. INNOVATION: Regression‐kriging builds upon two cornerstones of geographical gradients of biodiversity, the spatial autocorrelation of species richness and the conspicuous association of species with environmental factors. With this technique, we recovered a simulated gradient of richness using |
| Databáze: | OpenAIRE |
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