Maxime Eeraerts, Catarina Siopa, Wilhelm Osterman, Julia Osterman, Stan Chabert, Kris Verheyen
{"title":"The Global Contribution of Wild Insect and Honeybee Visitation to Crop Pollination Success Is Asymptotic","authors":"Maxime Eeraerts, Catarina Siopa, Wilhelm Osterman, Julia Osterman, Stan Chabert, Kris Verheyen","doi":"10.1111/geb.70088","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Animal-mediated pollination plays a crucial role in the reproductive success of flowering plants, and insect pollination in particular for crops. Pollination biology suggests that the effect of pollen deposition from animal visitation on pollination success is asymptotic. Initially, increased insect visitation increases pollination success in decreasing increments, eventually reaching a saturation threshold where additional visits do not further increase pollination success. However, most crop pollination research considers linear relations between insect visitation and pollination success, which overlooks the fact that pollination success is necessarily limited by an asymptotic relation.</p>\n </section>\n \n <section>\n \n <h3> Asymptotic Models Improve Predictions for Global Data</h3>\n \n <p>Utilising the CropPol database, we tested whether non-linear models (asymptotic and hump-shaped) improve the fit of the relation between honeybee and wild insect visitation and crop pollination success compared to linear models. Our results indicate that the relation is best described by asymptotic models.</p>\n </section>\n \n <section>\n \n <h3> Synthesis and Management Implications</h3>\n \n <p>We argue that incorporating asymptotic models to crop pollination research can advance our understanding of the pollination contributions of honeybees and wild insects and inform pollinator management to maximise food production. From a management viewpoint, asymptotic models imply that insect visitation can be optimised to maximise crop pollination and yield. Moreover, declines in pollinator populations and their effects on crop pollination may go unnoticed until pollinator visitation falls below the saturation threshold. In sum, these findings can guide development of evidence-based and cost-effective pollination management strategies.</p>\n </section>\n </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 7","pages":""},"PeriodicalIF":6.3000,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Ecology and Biogeography","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/geb.70088","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Animal-mediated pollination plays a crucial role in the reproductive success of flowering plants, and insect pollination in particular for crops. Pollination biology suggests that the effect of pollen deposition from animal visitation on pollination success is asymptotic. Initially, increased insect visitation increases pollination success in decreasing increments, eventually reaching a saturation threshold where additional visits do not further increase pollination success. However, most crop pollination research considers linear relations between insect visitation and pollination success, which overlooks the fact that pollination success is necessarily limited by an asymptotic relation.
Asymptotic Models Improve Predictions for Global Data
Utilising the CropPol database, we tested whether non-linear models (asymptotic and hump-shaped) improve the fit of the relation between honeybee and wild insect visitation and crop pollination success compared to linear models. Our results indicate that the relation is best described by asymptotic models.
Synthesis and Management Implications
We argue that incorporating asymptotic models to crop pollination research can advance our understanding of the pollination contributions of honeybees and wild insects and inform pollinator management to maximise food production. From a management viewpoint, asymptotic models imply that insect visitation can be optimised to maximise crop pollination and yield. Moreover, declines in pollinator populations and their effects on crop pollination may go unnoticed until pollinator visitation falls below the saturation threshold. In sum, these findings can guide development of evidence-based and cost-effective pollination management strategies.
期刊介绍:
Global Ecology and Biogeography (GEB) welcomes papers that investigate broad-scale (in space, time and/or taxonomy), general patterns in the organization of ecological systems and assemblages, and the processes that underlie them. In particular, GEB welcomes studies that use macroecological methods, comparative analyses, meta-analyses, reviews, spatial analyses and modelling to arrive at general, conceptual conclusions. Studies in GEB need not be global in spatial extent, but the conclusions and implications of the study must be relevant to ecologists and biogeographers globally, rather than being limited to local areas, or specific taxa. Similarly, GEB is not limited to spatial studies; we are equally interested in the general patterns of nature through time, among taxa (e.g., body sizes, dispersal abilities), through the course of evolution, etc. Further, GEB welcomes papers that investigate general impacts of human activities on ecological systems in accordance with the above criteria.