Distribution Patterns of Scarabaeoidea: A Biogeographical Regionalization Proposal for El Salvador

ABSTRACT Aim To conduct a biogeographical regionalization of El Salvador, based on the potential distribution patterns of the superfamily Scarabaeoidea and using Parsimony Analysis of Endemicity. Location El Salvador, Central America. Taxon Superfamily Scarabaeoidea (Insecta: Coleoptera). Methods Potential distribution models were developed for 160 species using Maxent. Based on the resulting potential richness patterns, a Parsimony Analysis of Endemicity was performed using hexagonal grids of 50 km 2 across El Salvador. Clades of cells sharing species compositions (geographical synapomorphies) were identified, and the regions corresponding to each clade were delineated. Results Five clades were identified, corresponding to the following biogeographic regions: (1) Pacific Lowlands; (2) Eastern Interior Valley; (3) Chortis Volcanic Front (Central American Volcanic Arc); (4) Western Interior Valley; (5) Northern Mountains. Main Conclusions Species distribution models, combined with parsimony analyses, strengthen the versatility of both methods for identifying biogeographical patterns at finer spatial scales, facilitate the first species‐based biogeographic regionalization of El Salvador, and demonstrate that micro‐scale analyses can reveal internal structure within broadly defined Central American provinces.

Authors

Institutions

Publication Details

Journal
Journal of Biogeography
Published
2026-04-01
DOI
https://doi.org/10.1111/jbi.70220
Primary Topic
Scarabaeidae Beetle Taxonomy and Biogeography
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Distribution Patterns of Scarabaeoidea: A Biogeographical Regionalization Proposal for El Salvador

Ronald D. Cave, Claudia E. Moreno, Víctor Moctezuma, José D. Pablo‐Cea et al.
Journal of Biogeography
Scarabaeidae Beetle Taxonomy and Biogeography
article

Distribution Patterns of Scarabaeoidea: A Biogeographical Regionalization Proposal for El Salvador

Ronald D. Cave, Claudia E. Moreno, Víctor Moctezuma, José D. Pablo‐Cea, Andrés Ramírez‐Ponce, Juan David Sánchez-Rodríguez, Octavio Rojas‐Soto
article en

Abstract

ABSTRACT Aim To conduct a biogeographical regionalization of El Salvador, based on the potential distribution patterns of the superfamily Scarabaeoidea and using Parsimony Analysis of Endemicity. Location El Salvador, Central America. Taxon Superfamily Scarabaeoidea (Insecta: Coleoptera). Methods Potential distribution models were developed for 160 species using Maxent. Based on the resulting potential richness patterns, a Parsimony Analysis of Endemicity was performed using hexagonal grids of 50 km 2 across El Salvador. Clades of cells sharing species compositions (geographical synapomorphies) were identified, and the regions corresponding to each clade were delineated. Results Five clades were identified, corresponding to the following biogeographic regions: (1) Pacific Lowlands; (2) Eastern Interior Valley; (3) Chortis Volcanic Front (Central American Volcanic Arc); (4) Western Interior Valley; (5) Northern Mountains. Main Conclusions Species distribution models, combined with parsimony analyses, strengthen the versatility of both methods for identifying biogeographical patterns at finer spatial scales, facilitate the first species‐based biogeographic regionalization of El Salvador, and demonstrate that micro‐scale analyses can reveal internal structure within broadly defined Central American provinces.

Journal of BiogeographyVol. 53(4)
Universidad Autónoma del Estado de Hidalgo (MX), Universidad Autónoma de Tlaxcala (MX), Instituto de Ecología (MX), Indian River State College (US), University of El Salvador (SV)
Openalex Percentile: Top 14%
Scarabaeidae Beetle Taxonomy and Biogeography
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.