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Record W4400199548 · doi:10.3390/d16070383

Public Attitudes towards Insect Pollinators in Morocco: Insights from a Pilot Study with Broader Applications

2024· article· en· W4400199548 on OpenAlexaff
Rachid Sabbahi, Insafe El Abdouni, Patrick Lhomme, Omar Boubker, Khalil Azzaoui, B. Hammouti, Mounsef Neffa, Virginia Hock

Bibliographic record

VenueDiversity · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsDawson College
FundersMinistry of Higher Education, Science, Research and Innovation, Thailand
KeywordsPollinatorUrbanizationPollinationPopulationEcologyCitizen scienceGeographyBiologyEnvironmental planningSociology

Abstract

fetched live from OpenAlex

This pilot study provides insights into the Moroccan public’s understanding and willingness to engage in insect pollinator preservation, highlighting widespread awareness alongside significant knowledge gaps. The success of biodiversity conservation efforts, especially those aimed at insect pollinators, is greatly enhanced by an informed and committed populace. Understanding public perceptions of insect pollinators is important as it shapes the effectiveness of conservation strategies and their implementation. Although our pilot study does not include every demographic of Moroccan society, it does include an important portion of the populace: educated urban youth. This is a key portion of the population that will be crucial in developing future conservation strategies, especially given the tendency towards increasing urbanization putting cities at the forefront of sustainable development. Our study aimed to assess opinions on insect pollinators, their services, and their declining population numbers in Morocco. We conducted a survey distributed mainly through the media over four months, receiving responses from 301 individuals. The results indicate that the public is aware of decreasing insect pollinator populations and their main threats, and shows a willingness to participate in conservation strategies. However, gaps persist in understanding the roles and ecology of pollinators. While honey bees and bumble bees are well-recognized for their role in pollinating agricultural and wild plants, there is less awareness about other common pollinators such as solitary bees and flies. Additionally, the essential contributions of non-bee pollinators remain widely overlooked. To address these findings, we recommend implementing specialized educational initiatives to increase public understanding of the vital functions of non-bee pollinators in supporting ecosystem services. In order to adopt a more encompassing strategy for the conservation of insect pollinators, upcoming outreach efforts within the national biodiversity strategy should emphasize the contributions made by lesser-known non-bee insect pollinators and strive to engage sectors of the population currently less involved in pollinator conservation. However, while this pilot study provides valuable insights, the sample size limits the generalizability of these conclusions. Future research with larger and more diverse samples would be beneficial to validate and expand upon these findings in order to provide a more comprehensive understanding of all areas of public perception and engagement in pollinator conservation in Morocco. Expanding sampling to include older, less educated, and less urban demographics would strengthen these initial insights and broaden their application, especially beyond urban attitudes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.144
GPT teacher head0.228
Teacher spread0.085 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2024
Admission routes1
Has abstractyes

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