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Andrea Sánchez-Tapia

Researcher at Federal University of Rio de Janeiro

Publications -  23
Citations -  418

Andrea Sánchez-Tapia is an academic researcher from Federal University of Rio de Janeiro. The author has contributed to research in topics: Vegetation & Threatened species. The author has an hindex of 8, co-authored 19 publications receiving 254 citations.

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Journal ArticleDOI

Strategic approaches to restoring ecosystems can triple conservation gains and halve costs

TL;DR: Using an actual large-scale restoration target of the Atlantic Forest hotspot, it is shown that this approach can deliver an eightfold increase in cost-effectiveness for biodiversity conservation compared with a baseline of non-systematic restoration.
Journal ArticleDOI

Past land-use and ecological resilience in a lowland Brazilian Atlantic Forest: implications for passive restoration

TL;DR: In this article, the authors investigated the influence of past land-use on natural regeneration in two secondary forests that established on abandoned pastures with different land use histories (Abandoned+fire, 15 years since the last fire event and Abandoned-36 years ago).
Journal ArticleDOI

Subordinate, not dominant, woody species promote the diversity of climbing plants

TL;DR: The results demonstrate that climber diversity in this community is governed by interactions with subordinate host woody species related to the environmental support for growth created by such trees and shrubs.
Journal ArticleDOI

Fire drives abandoned pastures to a savanna-like state in the Brazilian Atlantic Forest

TL;DR: In this paper, the authors found that abandoned pastures affected by fires in the Brazilian Atlantic forest showed similarity in terms of vegetation structure and plant functional traits to a savanna-like ecosystem.
Book ChapterDOI

Model-R: A Framework for Scalable and Reproducible Ecological Niche Modeling

TL;DR: The Model-R framework was developed with the main objective of unifying pre-existing ecological niche modeling tools into a common framework and building a web interface that automates steps of the modeling process and occurrence data retrieval.