Understanding different dominance patterns in western Amazonian forests

Author:

Matas‐Granados Laura12ORCID,Draper Frederick C.34ORCID,Cayuela Luis5ORCID,de Aledo Julia G.125ORCID,Arellano Gabriel67ORCID,Saadi Celina Ben1ORCID,Baker Timothy R.4ORCID,Phillips Oliver L.4ORCID,Honorio Coronado Eurídice N.8ORCID,Ruokolainen Kalle9ORCID,García‐Villacorta Roosevelt1011ORCID,Roucoux Katherine H.8ORCID,Guèze Maximilien12,Sandoval Elvis Valderrama13,Fine Paul V. A.14,Amasifuen Guerra Carlos A.15ORCID,Gomez Ricardo Zarate16ORCID,Stevenson Diaz Pablo R.17ORCID,Monteagudo‐Mendoza Abel18,Martinez Rodolfo Vasquez19,Socolar Jacob B.20ORCID,Disney Mathias21,del Aguila Pasquel Jhon1622,Llampazo Gerardo Flores16,Arenas Jim Vega13,Huaymacari José Reyna16,Grandez Rios Julio M.16ORCID,Macía Manuel J.12ORCID

Affiliation:

1. Departamento de Biología, Área de Botánica Universidad Autónoma de Madrid Madrid Spain

2. Centro de Investigación en Biodiversidad y Cambio Global (CIBC‐UAM) Universidad Autónoma de Madrid Madrid Spain

3. School of Geography and Planning University of Liverpool Liverpool UK

4. School of Geography University of Leeds Leeds UK

5. Departamento de Biología y Geología, Física y Química Inorgánica Universidad Rey Juan Carlos, Móstoles Madrid Spain

6. Ecology and Evolutionary Biology University of Michigan Ann Arbor Michigan USA

7. Oikobit LLC, www.oikobit.com Albuquerque New Mexico USA

8. School of Geography & Sustainable Development University of St Andrews St Andrews UK

9. Department of Biology University of Turku Turku Finland

10. Programa Restauración de Ecosistemas (PRE) Centro de Innovación Científica Amazónica (CINCIA) Puerto Maldonado Tambopata, Madre de Dios Peru

11. Peruvian Center for Biodiversity and Conservation (PCBC) Iquitos Loreto Peru

12. Man and Biosphere Programme UNESCO Paris Île‐de‐France France

13. Facultad de Ciencias Biológicas Universidad Nacional de la Amazonía Peruana Iquitos Peru

14. Department of Integrative Biology University of California Berkeley Berkeley California USA

15. Escuela de Ingeniería Forestal, Facultad de Ingeniería y Ciencias Agrarias Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM) Chachapoyas Peru

16. Instituto de Investigaciones de la Amazonía Peruana Iquitos Peru

17. Departamento de Ciencias Biológicas Universidad de los Andes Bogotá Colombia

18. Universidad Nacional de San Antonio Abad del Cusco Cusco Peru

19. Estación Biológica del Jardín Botánico de Missouri Oxapampa Peru

20. NCX San Francisco California USA

21. Department of Geography University College London London UK

22. Universidad Nacional de la Amazonia Peruana Iquitos Peru

Abstract

AbstractDominance of neotropical tree communities by a few species is widely documented, but dominant trees show a variety of distributional patterns still poorly understood. Here, we used 503 forest inventory plots (93,719 individuals ≥2.5 cm diameter, 2609 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, unravelling different dominance patterns is a research priority to direct conservation efforts in Amazonian forests.

Funder

European Commission

H2020 European Research Council

Ministerio de Ciencia e Innovación

Ministerio de Economía y Competitividad

Natural Environment Research Council

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

Reference84 articles.

1. A standard protocol for woody plant inventories and soil characterisation using temporary 0.1‐HA plots in tropical forests;Arellano G.;Journal of Tropical Forest Science,2016

2. Demystifying dominant species

3. Fitting the Negative Binomial Distribution to Biological Data

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