Making plant–pollinator data collection cheaper for restoration and monitoring

Author:

Bruninga‐Socolar Bethanne12ORCID,Lonsdorf Eric V.34ORCID,Lane Ian G.1ORCID,Portman Zachary M.1ORCID,Cariveau Daniel P.1ORCID

Affiliation:

1. Entomology Department University of Minnesota Saint Paul Minnesota USA

2. Biology Department Albright College Reading Pennsylvania USA

3. Institute on the Environment University of Minnesota Saint Paul Minnesota USA

4. Department of Environmental Sciences Emory University Atlanta Georgia USA

Abstract

Abstract Wildflower plantings are a key tool for wild bee conservation, and plant–bee interaction data are frequently used in seed mix design to ensure that plantings provide sufficient resources for a diversity of bees. Plant–bee interaction data are also used in monitoring programmes to measure the success of bee‐supporting habitat. However, collecting plant–bee interaction data can be expensive and these data are not used by many seed mix design practitioners and monitoring programmes. Therefore, a crucial question is how does the conservation value of seed mixes vary as a function of the intensity of the data collection effort underpinning their design? We leverage a plant–bee interaction data set to ask how bee richness is expected to change when informed by different scenarios of reduced data collection effort and cost. From the original, large data set, we created subsets of data by randomly reducing (1) the number of specimens sampled, (2) the number of sites sampled, (3) the number of sampling days per site and (4) using data from a single, representative taxon (bumble bees). We ask whether seed mixes designed from these reduced data sets support comparable bee richness to the full data set, and for any reduction in cost. Reductions in the number of specimens sampled and the number of sampling days per site yield seed mixes that support comparable bee richness to the full data set. Reductions in the number of sites yielded seed mixes that support lower bee richness than the full data set. Using bumble bee interaction data only yields seed mixes that support lower bee richness than the full data set, especially when few plants are included in the mixes. Synthesis and applications. We recommend prioritizing broad spatial, temporal and taxonomic coverage of plant–bee interaction data to guide cost‐effective seed mix design. Our results also provide guidance for practitioners designing programmes to monitor bee richness in restored habitat because plant–bee interaction data may be made cheaper by collecting fewer specimens per sampling event or collecting on fewer dates per site (as long as coverage of the full bee flight season is maintained).

Publisher

Wiley

Subject

Ecology

Reference44 articles.

1. Ascher J. S. &Pickering J.(2018).Discover life bee species guide and world checklist (Hymenoptera: Apoidea: Anthophila). Draft‐35.http://www.discoverlife.org/mp/20q

2. Bruninga‐Socolar B. Lonsdorf E. Lane I. Portman Z. &Cariveau D.(2022).Data from: Seed mix selection model. figshare.https://doi.org/10.6084/m9.figshare.20216705.v1

3. Taxon-specific associations of tallgrass prairie flower visitors with site-scale forb communities and landscape composition and configuration

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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