Unveiling geographical gradients of species richness from scant occurrence data-Reference-Cited by-同舟云学术

Unveiling geographical gradients of species richness from scant occurrence data

Published:2020-01-09 Issue:4 Volume:29 Page:748-759
ISSN:1466-822X
Container-title:Global Ecology and Biogeography
language:en
Short-container-title:Global Ecol Biogeogr

Author:

Alves Davi Mello Cunha Crescente¹²^ORCID,Eduardo Anderson Aires²^ORCID,da Silva Oliveira Eduardo Vinícius²³,Villalobos Fabricio¹⁴^ORCID,Dobrovolski Ricardo¹⁵^ORCID,Pereira Taiguã Corrêa⁶^ORCID,de Souza Ribeiro Adauto⁷^ORCID,Stropp Juliana⁸^ORCID,Rodrigues João Fabrício Mota¹^ORCID,Diniz‐Filho José Alexandre F.¹⁹^ORCID,Gouveia Sidney F.¹²⁷^ORCID

Affiliation:

1. Instituto Nacional de Ciência e Tecnologia em Ecologia, Evolução e Conservação da Biodiversidade (INCT EECBio) Goiânia Goiás Brazil

2. Laboratório de Pesquisas Integrativas em Biodiversidade (PIBiLab) Universidade Federal de Sergipe São Cristóvão Sergipe Brazil

3. Programa de Pós‐Graduação em Ecologia e Conservação Universidade Federal de Sergipe São Cristóvão Sergipe Brazil

4. Laboratorio de Macroecología Evolutiva Instituto de Ecología, A.C. Xalapa México

5. Instituto de Biologia Universidade Federal da Bahia Salvador Bahia Brazil

6. Programa de Pós‐Graduação em Botânica Instituto Nacional de Pesquisa da Amazônia (INPA) Manaus Amazonas Brazil

7. Departamento de Ecologia Universidade Federal de Sergipe São Cristóvão Sergipe Brazil

8. Instituto de Ciências Biológicas e da Saúde Universidade Federal do Alagoas Maceió Alagoas Brazil

9. Departamento de Ecologia Universidade Federal de Goiás Goiânia Goiás Brazil

Funder

Consejo Nacional de Ciencia y Tecnología

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Wiley

Subject

Ecology,Ecology, Evolution, Behavior and Systematics,Global and Planetary Change

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/geb.13055

Reference68 articles.

1. Development of Global 30-minute grid Potential Evapotranspiration Data Set.

2. Geographic variation in the relationship between large-scale environmental determinants and bat species richness

3. Barton K.(2009).MuMIn: multi‐model inference.R package version 1.0.0. Retrieved fromhttp://r‐forge.r‐project.org/projects/mumin/

4. Challenging Wallacean and Linnean shortfalls: knowledge gradients and conservation planning in a biodiversity hotspot

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