DOI: 10.5061/dryad.dz08kps9p
title: Data from: Responses of insect pollinators to habitat fragmentation: A global meta-analysis

description: Insect pollinators are declining globally, with habitat fragmentation
 recognized as an important driver. While these declines have garnered
 widespread public and policy attention, current evidence
 remains largely limited to certain taxa, geographic regions, and
 ecosystems, thereby resulting in diverse outcomes. Here, we aimed to
 present a global meta-analysis using a dataset comprising 80 studies
 across 28 countries on all continents, excluding
 Antarctica. We used Pearson’s correlation coefficient (r) as an
 effect size to measure the association between habitat fragmentation
 and the abundance and species richness of wild bees,
 butterflies, and wasps. Subsequently, we performed
 categorical meta-analyses that fragmentation indices, climates,
 and taxonomic groups as moderators to investigate the dependency
 of habitat fragmentation effects on these factors. Increasing habitat
 fragmentation was significantly associated with
 reductions in both the abundance (r = -0.26, CI: -0.39, -0.12)
 and species richness (r = -0.46, CI: -0.55, -0.35) of insect
 pollinators. The magnitude of these associations varied
 depending on the evaluated fragmentation index. Specifically, pollinator
 abundance (r = -0.43, 95%CI: -0.56, -0.29) and species
 richness (r = -0.62, 95%CI: -0.71, -0.52) significantly decreased with
 reduced habitat area. Synthesis and Applications. Our results
 show that insect pollinators have declined globally due
 to habitat fragmentation. Reduced habitat area and increased edge density
 were the main drivers of pollinator decline. The
 findings indicate that preserving large habitats can support more
 insect pollinators. This implies that policies
 must target the landscape scale to mitigate the negative
 effects of habitat fragmentation.
description: # Data from: Responses of insect pollinators to habitat fragmentation: A
 global meta-analysis Dataset DOI:
 [10.5061/dryad.dz08kps9p](10.5061/dryad.dz08kps9p) ## Description of the
 data and file structure We aimed to present a global meta-analysis using a
 dataset comprising 80 studies across 28 countries on all
 continents, excluding Antarctica. We used Pearson’s correlation
 coefficient (r) as an effect size to measure the association between
 habitat fragmentation and the abundance and species richness of wild bees,
 butterflies, and wasps. ### Files and variables #### File:
 Richness_20250627.csv **Description:** This dataset includes 109 data
 observations from 63 publications. ##### Variables *
 Publication: Publication identity; * Reference: Authors and publication
 year; * Title: Title of publication; * Site: The locations/areas where
 experiment was carried out; * Sampling_method: the method used for
 sampling pollinators; * Latitude: Latitude of study site; * Longitude:
 longitude of study site; * Exp_year: The year when study was carried out;
 * Study: A unique combination of publication and the year of
 study conducted; * Country: Country where study was carried out; *
 Continent: Continent where study was carried out * Climate: According to
 [Köppen](https://en.wikipedia.org/wiki/K%F6ppen_climate_classification) Geiger Climate Classification; * Dominant_matrix: The main matrix in study area;  * Sampling_matrix: The habitat type where insect pollinators sample from; * Reported_fragment_index: The fragmentation index evaluated in the publication (description in original paper); * Fragment_index: The fragmentation index evaluated in the publication; * Reported_pollinators: Taxa of pollinating insects (description in original paper); * Taxonomic_group: Taxa of pollinating insects; * Richness_level: The level that study reported the abundance data, i.e. species level, functional level; * Sample_size: Sample size; * r_effect_size: Pearson’s r (effect size). #### File: Abundance_20250630.csv **Description:** This dataset includes 78 data observations from 40 publications. **Variables:**  The variables and their meanings are the same as those in richness dataset. 
 
 The empty cells in both datasets indicating information not available in
 original study.