Estimating wild bee population size with validated distance sampling

Abstract Pollinators are declining globally, highlighting the urgent need for accurate methods to monitor their densities and abundances. Distance sampling (DS) is a promising, non‐invasive method for estimating insect population abundances, but its estimates have not been compared with independent counts of population size to validate DS efficacy for insects. We addressed this methodological gap on Giannutri Island (Italy), where two strongly declining pollinator populations of Anthophora dispar and Bombus terrestris coexist with managed honey bees ( Apis mellifera ). DS field surveys, targeting both managed and wild bees, were conducted across 41 transects spanning five land cover types over 12 sampling days. We validated this method by verifying that the number of foraging honey bees estimated with DS is consistent with the literature reported proportion of workers outside the hives (~12.5%–20%) of the known reference population of managed colonies. Using DS , we also verified: (1) a strong consistency in abundance estimates across consecutive days; (2) significant effects of weather conditions on detected abundances and temporal trends matching the known phenology of adults in both wild species; (3) marked differences in densities across land cover types consistent with the known link between pollinator abundances and vegetation structures. In conclusion, DS offers a practical method for obtaining reliable estimates of population size for midsized to large insects when individuals can be readily observed and identified. While its applicability to smaller species and closed habitats may thus be limited, it represents a valuable tool where traditional methods are impractical.

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Publication Details

Journal
Insect Conservation and Diversity
Published
2026-01-14
DOI
https://doi.org/10.1111/icad.70053
Primary Topic
Plant and animal studies
Type
article
Field-Weighted Citation Impact
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article

Estimating wild bee population size with validated distance sampling

Vania Salvati, Alessandro Cini, Lorenzo Pasquali, Marco Penco et al.
Insect Conservation and Diversity
Plant and animal studies
article

Estimating wild bee population size with validated distance sampling

Vania Salvati, Alessandro Cini, Lorenzo Pasquali, Marco Penco, Olga Barghigiani, Leonardo Dapporto, Claudia Bruschini, Adele Bordoni
article en

Abstract

Abstract Pollinators are declining globally, highlighting the urgent need for accurate methods to monitor their densities and abundances. Distance sampling (DS) is a promising, non‐invasive method for estimating insect population abundances, but its estimates have not been compared with independent counts of population size to validate DS efficacy for insects. We addressed this methodological gap on Giannutri Island (Italy), where two strongly declining pollinator populations of Anthophora dispar and Bombus terrestris coexist with managed honey bees ( Apis mellifera ). DS field surveys, targeting both managed and wild bees, were conducted across 41 transects spanning five land cover types over 12 sampling days. We validated this method by verifying that the number of foraging honey bees estimated with DS is consistent with the literature reported proportion of workers outside the hives (~12.5%–20%) of the known reference population of managed colonies. Using DS , we also verified: (1) a strong consistency in abundance estimates across consecutive days; (2) significant effects of weather conditions on detected abundances and temporal trends matching the known phenology of adults in both wild species; (3) marked differences in densities across land cover types consistent with the known link between pollinator abundances and vegetation structures. In conclusion, DS offers a practical method for obtaining reliable estimates of population size for midsized to large insects when individuals can be readily observed and identified. While its applicability to smaller species and closed habitats may thus be limited, it represents a valuable tool where traditional methods are impractical.

Insect Conservation and Diversity
University of Pisa (IT), University of Florence (IT)
Zero hunger
Openalex Percentile: Top 92%
Plant and animal studies
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Estimating wild bee population size with validated distance sampling — Vania Salvati, Alessandro Cini, et al. · Insect Conservation and Diversity (2026) | TGRS Research Map | TGRS