Weed Management Reduces Wild Bee Diversity in Cherry Orchards of the Moroccan Middle Atlas

Pollinators are essential for the productivity of many fruit crops, yet their diversity and abundance can be strongly influenced by local management practices. This study investigates the impact of weed management on the abundance and diversity of wild bee communities in Moroccan cherry orchards (Ain Leuh, Middle Atlas). Using a sampling strategy combining pan traps in the orchard and netting on the cherry flowers and the weeds during the cherry bloom season, we found that weeded orchards had significantly higher bee abundance (i.e., number of specimens), while unweeded orchards supported greater species richness (i.e., number of species). Vegetation structure significantly influences bee activity and the performance of sampling techniques. Yellow pan traps contributed to collecting more individuals in weeded orchards, likely due to enhanced visual contrast in the absence of floral cues. Across all sites, the most observed flower visitors included species from the genera Andrena and Lasioglossum, known as important cherry pollinators. These findings highlight the ecological value of maintaining wildflower resources through reduced weed management intensity and suggest that enhancing floral complexity in orchards can support more diverse and abundant pollinator communities, with potential benefits for crop pollination services.

Authors

Institutions

Publication Details

Journal
Diversity
Published
2025-11-07
DOI
https://doi.org/10.3390/d17110782
Primary Topic
Plant and animal studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Weed Management Reduces Wild Bee Diversity in Cherry Orchards of the Moroccan Middle Atlas

Patrick Lhomme, Guillaume Ghisbain, Youssef Bencharki, Denis Michez et al.
Diversity
Plant and animal studies
article

Weed Management Reduces Wild Bee Diversity in Cherry Orchards of the Moroccan Middle Atlas

Patrick Lhomme, Guillaume Ghisbain, Youssef Bencharki, Denis Michez, Michael Baum
article en

Abstract

Pollinators are essential for the productivity of many fruit crops, yet their diversity and abundance can be strongly influenced by local management practices. This study investigates the impact of weed management on the abundance and diversity of wild bee communities in Moroccan cherry orchards (Ain Leuh, Middle Atlas). Using a sampling strategy combining pan traps in the orchard and netting on the cherry flowers and the weeds during the cherry bloom season, we found that weeded orchards had significantly higher bee abundance (i.e., number of specimens), while unweeded orchards supported greater species richness (i.e., number of species). Vegetation structure significantly influences bee activity and the performance of sampling techniques. Yellow pan traps contributed to collecting more individuals in weeded orchards, likely due to enhanced visual contrast in the absence of floral cues. Across all sites, the most observed flower visitors included species from the genera Andrena and Lasioglossum, known as important cherry pollinators. These findings highlight the ecological value of maintaining wildflower resources through reduced weed management intensity and suggest that enhancing floral complexity in orchards can support more diverse and abundant pollinator communities, with potential benefits for crop pollination services.

DiversityVol. 17(11)
University of Mons (BE), International Center for Agricultural Research in the Dry Areas (LB)
Consortium of International Agricultural Research Centers
Openalex Percentile: Top 74%
Plant and animal studies
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.