Citizen Science-Based Monitoring of Cavity-Nesting Wild Bees and Wasps – Benefits for Volunteers, Insects, and Ecological Science

Author:

Lindermann LaraORCID,Grabener SwantjeORCID,Hellwig NielsORCID,Stahl Johanna,Dieker PetraORCID

Abstract

Citizen science approaches are promising for raising awareness about the sensitivity of pollinators to environmental changes and simultaneously gathering data about their biology. Questions remain, however, about citizens’ ability to gather accurate data. Here, we present a citizen science monitoring approach of cavity-nesting wild bees and wasps in agricultural landscapes across Germany. By using nesting observation blocks (NOBs), which consist of individual wooden boards screwed together, volunteers record the colonisation and development of cavity-nesting Hymenoptera. To do this, they open the NOBs monthly and photograph each board individually. We tested if volunteers can be trained to accurately identify taxa from photographs by offering identification courses and an online quiz. For that purpose, twelve volunteers without taxonomic knowledge identified and counted larvae and cocoons of wild bees and wasps in 4,203 occupied cavities: 92.4% were correctly identified, 4.8% were incorrectly identified, and 2.8% were unidentifiable by experts. These results indicated that volunteers unfamiliar with these taxonomic groups successfully gained a high level of knowledge within one season supported by identification trainings. Using Wald chi-square tests, successful identification was mainly affected by the variability of the taxon. In view of increasing public demand for habitat restoration to halt and counteract declining pollinator populations, the proposed citizen science monitoring approach offers an opportunity for every interested citizen, regardless of their background knowledge, to engage with wild bees and wasps, and gain knowledge about their ecology.

Publisher

Ubiquity Press, Ltd.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3