Random forest is the best species predictor for a community of insectivorous bats inhabiting a mountain ecosystem of central Mexico-Reference-Cited by-同舟云学术

Random forest is the best species predictor for a community of insectivorous bats inhabiting a mountain ecosystem of central Mexico

Published:2020-10-26 Issue:5 Volume:30 Page:608-628
ISSN:0952-4622
Container-title:Bioacoustics
language:en
Short-container-title:Bioacoustics

Author:

Ayala-Berdon Jorge¹^ORCID,Medina-Bello Kevin I.¹,López-Cuamatzi Issachar L.¹,Vázquez-Fuerte Rommy²,MacSwiney G. M. Cristina³^ORCID,Orozco-Lugo Lorena⁴,Iñiguez-Dávalos Ignacio⁵^ORCID,Guillén-Servent Antonio⁶,Martínez-Gómez Margarita¹⁷^ORCID

Affiliation:

1. CONACYT, Universidad Autónoma de Tlaxcala, Tlaxcala, México

2. Escuela Nacional de Estudios Superiores, Unidad Morelia, Universidad Nacional Autónoma de México, Michoacán, México

3. Centro de Investigaciones Tropicales, Universidad Veracruzana, Veracruz, México

4. Centro de Investigación de Biodiversidad y Conservación, Universidad Autónoma del Estado de Morelos, Morelos, México

5. Departamento de Ecología y Recursos Naturales - IMECBIO, Universidad de Guadalajara, Jalisco, Mexico

6. Instituto de Ecología, A.C. (INECOL), Veracruz, México

7. Departamento de Biol. Celular y Fisiología, Universidad Nacional Autónoma de México, México

Funder

Por Amor al Planeta 2013

Publisher

Informa UK Limited

Subject

Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://www.tandfonline.com/doi/pdf/10.1080/09524622.2020.1835539

Reference84 articles.

1. Empirical characterization of random forest variable importance measures

2. A comparison of supervised learning techniques in the classification of bat echolocation calls

3. Bat fauna associated with artificial ponds in La Malinche National Park, a mountain ecosystem of Mexico

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