This data package contains data from: 

This dataset is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (CC-BY-SA 4.).

 

When using this data, please cite the original article:

Laura Matas-Granados, Frederick C. Draper, Luis Cayuela, Julia G. de Aledo, Gabriel Arellano, Celina Ben Saadi, Timothy R. Baker, Oliver L. Phillips, Eurídice N. Honorio Coronado, Kalle Ruokolainen, Roosevelt García-Villacorta, Katherine H. Roucoux, Maximilien Guèze, Elvis Valderrama Sandoval, Paul V.A. Fine, Carlos A. Amasifuen Guerra, Ricardo Zarate Gomez, Pablo R. Stevenson Diaz, Abel Monteagudo-Mendoza, Rodolfo Vasquez Martinez, Jacob B. Socolar, Mathias Disney, Jhon del Aguila Pasquel, Gerardo Flores Llampazo, Jim Vega Arenas, José Reyna Huaymacari, Julio M. Grandez Rios, Manuel J. Macía. Ecology Letters. 2023

Additionally, please cite the data package:

Data package for: Laura Matas-Granados, Frederick C. Draper, Luis Cayuela, Julia G. de Aledo, Gabriel Arellano, Celina Ben Saadi, Timothy R. Baker, Oliver L. Phillips, Eurídice N. Honorio Coronado, Kalle Ruokolainen, Roosevelt García-Villacorta, Katherine H. Roucoux, Maximilien Guèze, Elvis Valderrama Sandoval, Paul V.A. Fine, Carlos A. Amasifuen Guerra, Ricardo Zarate Gomez, Pablo R. Stevenson Diaz, Abel Monteagudo-Mendoza, Rodolfo Vasquez Martinez, Jacob B. Socolar, Mathias Disney, Jhon del Aguila Pasquel, Gerardo Flores Llampazo, Jim Vega Arenas, José Reyna Huaymacari, Julio M. Grandez Rios, Manuel J. Macía. Ecology Letters. 2023
ForestPlots.NET DOI: https://doi.org/10.5521/forestplots.net/2023_4

 

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Abstract

DATA PACKAGE DESCRIPTION

This data package includes information of the forest inventory plots and the process to conduct the analyses:

1. Generation of 100 subsamples to avoid potential spatial autocorrelation between plots.
2. Identification of dominant species (for the complete dataset and the 100 subsamples).
3. Beta regression model to test the effect of regional frequency and habitat type on the local abundance of dominant species (for the complete dataset and the 100 subsamples).
4. Beta regression models to test the effect of regional frequency and habitat type on the local abundance of species that account for 60%, 70%, 80%, 85%, 90%, 92.5%, 95%, 97.5% and 100% of the total relative abundance (for the complete dataset and the 100 subsamples).
5. Species-level rank abundance distribution graphs of dominant species (for the complete dataset and the 100 subsamples).
6. Beta regression model to test the effect of the k parameter of spatial aggregation and habitat type on the local abundance and regional frequency of dominant species (for the complete dataset).
7. Curves of spatial aggregation for dominant species at each spatial scale using the F index of co-dominance (for the complete dataset).

ABSTRACT

Dominance of neotropical tree communities by a few species is widely documented, but dominant trees show a variety of distributional patters still poorly understood. Here, we used 503 forest inventory plots (93,719 individuals ≥ 2.5 cm diameter, 2,609 species) to explore the relationships between local abundance, regional frequency, and spatial aggregation of dominant species in four main habitat types in western Amazonia. Although the abundance-occupancy relationship is positive for the full dataset, we found that among dominant Amazonian tree species there is a strong negative relationship between local abundance and regional frequency and/or spatial aggregation across habitat types. Our findings suggest an ecological trade-off whereby dominant species can be locally abundant (local dominants) or regionally widespread (widespread dominants), but rarely both (oligarchs). Given the importance of dominant species as drivers of diversity and ecosystem functioning, unraveling different dominance patterns is a research priority to direct conservation efforts in Amazonian forests.