The spectre of biogeographical regionalization

By J. Morrone. 2018

106 citations recorded by the source corpus.

Subfields: Ecological Modeling, Nature and Landscape Conservation, Paleontology

View Paper: https://www.semanticscholar.org/paper/0c883b767ed5cd9ade9f3b80afc4f0b8b08126be

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. J. Pirani
2. Matheus Colli‐Silva
3. T. Vasconcelos

In Nature and Landscape Conservation

1. J. Pirani
2. Matheus Colli‐Silva
3. T. Vasconcelos

In Paleontology

1. J. Pirani
2. Matheus Colli‐Silva
3. T. Vasconcelos

Citations in the corpus

• Outstanding plant endemism levels strongly support the recognition of campo rupestre provinces in mountaintops of eastern South America (2019, methodology): “Based on the ten most indicative species informed by the cluster‐ ing analysis, we returned to their original distribution to delimit the areas of the new bioregions (as recommended by Morrone, 2018) by making a minimum convex polygon.”