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扩展大黄蜂模型BEE - STEWARD的范围:一个简单的觅食模块有助于参数化

Expanding the Scope of the Bumblebee Model BEE-STEWARD: A Simple Foraging Module Facilitates the Parameterization.

作者信息

Luttermann Max, Prestele Reinhard, Grimm Volker, Groeneveld Jürgen

机构信息

Department of Ecological Modelling Helmholtz Centre for Environmental Research - UFZ Leipzig Germany.

Ammerländer Heerstraße 114-118 Carl von Ossietzky Universität Oldenburg Oldenburg Germany.

出版信息

Ecol Evol. 2025 May 22;15(5):e71468. doi: 10.1002/ece3.71468. eCollection 2025 May.

DOI:10.1002/ece3.71468
PMID:40416760
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12098056/
Abstract

The BEE-STEWARD model simulates the population dynamics and behavior of bumblebees, including foraging, in remarkable detail, allowing the impact of various stressors on their populations to be assessed. To support the underlying detailed mechanistic descriptions, BEE-STEWARD requires extensive parameterization, including corolla depth, which affects the handling time of foraging bees, for each flower species in the simulated landscape. However, this detailed approach limits the applicability of BEE-STEWARD due to the lack of data for corolla depths, while also resulting in unrealistic foraging trip durations. Here we present a simplified foraging module that uses a constant handling time for foraging, thus eliminating the need to parameterize corolla depth. This simplification allows us both to apply the model to large scales and to assume handling times that reproduce observed foraging trip durations. Our new foraging module allows large-scale population projections with BEE-STEWARD. This increases its value in policy contexts and contributes to understanding and mitigating bumblebee declines.

摘要

蜜蜂管理(BEE - STEWARD)模型能够非常详细地模拟大黄蜂的种群动态和行为,包括觅食行为,从而可以评估各种压力源对其种群的影响。为了支持其背后详细的机制描述,BEE - STEWARD需要进行广泛的参数化设置,包括模拟景观中每种花卉的花冠深度,因为花冠深度会影响觅食蜜蜂的处理时间。然而,由于缺乏花冠深度的数据,这种详细的方法限制了BEE - STEWARD的适用性,同时还导致觅食行程持续时间不切实际。在此,我们提出了一个简化的觅食模块,该模块对觅食采用恒定的处理时间,从而无需对花冠深度进行参数化设置。这种简化使我们既能将该模型应用于大尺度范围,又能假设出与观察到的觅食行程持续时间相符的处理时间。我们新的觅食模块使BEE - STEWARD能够进行大规模的种群预测。这增加了其在政策背景下的价值,并有助于理解和缓解大黄蜂数量的下降。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/386c/12098056/3b551547b4d2/ECE3-15-e71468-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/386c/12098056/ea4cc3832db5/ECE3-15-e71468-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/386c/12098056/25f2b068c4ff/ECE3-15-e71468-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/386c/12098056/3b551547b4d2/ECE3-15-e71468-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/386c/12098056/ea4cc3832db5/ECE3-15-e71468-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/386c/12098056/25f2b068c4ff/ECE3-15-e71468-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/386c/12098056/3b551547b4d2/ECE3-15-e71468-g002.jpg

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本文引用的文献

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Environ Toxicol Chem. 2023 Aug;42(8):1839-1850. doi: 10.1002/etc.5678. Epub 2023 Jun 21.
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The FloRes Database: A floral resources trait database for pollinator habitat-assessment generated by a multistep workflow.FloRes数据库:一个通过多步骤工作流程生成的用于传粉者栖息地评估的花卉资源特征数据库。
Biodivers Data J. 2022 Sep 14;10:e83523. doi: 10.3897/BDJ.10.e83523. eCollection 2022.
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Investigating the Foraging, Guarding and Drifting Behaviors of Commercial .
研究商业活动中的觅食、守护和漂流行为。 (你提供的原文似乎不完整,“Commercial”后面应该还有内容)
J Insect Behav. 2021;34(5-6):334-345. doi: 10.1007/s10905-021-09790-0. Epub 2022 Jan 18.
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Global effects of land-use intensity on local pollinator biodiversity.土地利用强度对本地传粉者生物多样性的全球影响。
Nat Commun. 2021 May 18;12(1):2902. doi: 10.1038/s41467-021-23228-3.
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Characterizing honey bee exposure and effects from pesticides for chemical prioritization and life cycle assessment.描述蜜蜂接触农药的情况和由此产生的影响,以便进行化学品优先排序和生命周期评估。
Environ Int. 2020 May;138:105642. doi: 10.1016/j.envint.2020.105642. Epub 2020 Mar 13.
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in a mass-flowering pollinator-dependent crop: A mutualistic relationship?在一种大量开花且依赖传粉者的作物中:一种互利共生关系?
Ecol Evol. 2018 Dec 18;9(1):609-618. doi: 10.1002/ece3.4784. eCollection 2019 Jan.
7
-BEEHAVE: A systems model for exploring multifactorial causes of bumblebee decline at individual, colony, population and community level.-蜜蜂行为:一个用于在个体、蜂群、种群和群落层面探索大黄蜂数量下降多因素成因的系统模型。
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