Can we derive macroecological patterns from primary Global Biodiversity Information Facility data

By Emilio García-Roselló, C. Guisande, Ana Manjarrés-Hernández, Jacinto Gonzalez‐Dacosta, Juergen Heine, Patricia Pelayo-Villamil, Luis González-Vilas, Richard P. Vari, A. Vaamonde, C. Granado-Lorencio and 1 more. 2015

125 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/a7ce7488b12b2e4220f150734a344a0f3fefb7a9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

1. Alice C Hughes
2. K. Ma
3. Huijie Qiao
4. Mark John Costello

In Ecology

1. Alice C Hughes
2. K. Ma
3. Huijie Qiao
4. Mark John Costello

In Nature and Landscape Conservation

1. Alice C Hughes
2. K. Ma
3. Michael C. Orr
4. Chao‐dong Zhu
5. Qinmin Yang
6. Huijie Qiao
7. Mark John Costello
8. P. Provoost

Citations in the corpus

• Sampling biases shape our view of the natural world (2020, background): “Thus, though studies have frequently found that carefully-used data can be highly informative for understanding patterns (García-Roselló et al. 2015), additional data are needed to address current biases in representation of various environmental facets even at smaller, regional scales for…”