Honey bee stressor networks are complex and dependent on crop and region

压力源 生物 瓦罗亚 蜜蜂 授粉 作物 生态学 神经科学 花粉
作者
Sarah K. French,Mateus Pepinelli,Ida M. Conflitti,Aidan Jamieson,Heather Higo,Julia Common,Elizabeth M. Walsh,Miriam Bixby,M. Marta Guarna,Stephen F. Pernal,Shelley E Hoover,R. William Currie,Pierre Giovenazzo,Ernesto Guzmán‐Novoa,Daniel Lago Borges,Leonard J. Foster,Amro Zayed
出处
期刊:Current Biology [Elsevier]
被引量:2
标识
DOI:10.1016/j.cub.2024.03.039
摘要

Summary

Honey bees play a major role in crop pollination but have experienced declining health throughout most of the globe. Despite decades of research on key honey bee stressors (e.g., parasitic Varroa destructor mites and viruses), researchers cannot fully explain or predict colony mortality, potentially because it is caused by exposure to multiple interacting stressors in the field. Understanding which honey bee stressors co-occur and have the potential to interact is therefore of profound importance. Here, we used the emerging field of systems theory to characterize the stressor networks found in honey bee colonies after they were placed in fields containing economically valuable crops across Canada. Honey bee stressor networks were often highly complex, with hundreds of potential interactions between stressors. Their placement in crops for the pollination season generally exposed colonies to more complex stressor networks, with an average of 23 stressors and 307 interactions. We discovered that the most influential stressors in a network—those that substantively impacted network architecture—are not currently addressed by beekeepers. Finally, the stressor networks showed substantial divergence among crop systems from different regions, which is consistent with the knowledge that some crops (e.g., highbush blueberry) are traditionally riskier to honey bees than others. Our approach sheds light on the stressor networks that honey bees encounter in the field and underscores the importance of considering interactions among stressors. Clearly, addressing and managing these issues will require solutions that are tailored to specific crops and regions and their associated stressor networks.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
成666发布了新的文献求助10
刚刚
bfz50发布了新的文献求助30
刚刚
初雪完成签到,获得积分10
刚刚
斯文败类应助刻苦的芷蝶采纳,获得10
刚刚
自来发布了新的文献求助10
刚刚
任性的败完成签到,获得积分10
刚刚
爱吃西瓜发布了新的文献求助20
1秒前
Andres12138发布了新的文献求助200
1秒前
大个应助不周采纳,获得10
2秒前
爆米花应助Charail采纳,获得10
2秒前
2秒前
耍酷芙蓉发布了新的文献求助30
2秒前
GT发布了新的文献求助10
3秒前
安静的一一完成签到 ,获得积分10
3秒前
研友_r8YKvn发布了新的文献求助10
3秒前
4秒前
研路辛苦了完成签到,获得积分10
4秒前
任性的败发布了新的文献求助10
4秒前
Shantx完成签到,获得积分10
4秒前
kkk发布了新的文献求助10
5秒前
6秒前
老迟到的烨磊给老迟到的烨磊的求助进行了留言
6秒前
情怀应助鲤鱼萧采纳,获得10
6秒前
宓广缘发布了新的文献求助10
7秒前
小胡发布了新的文献求助10
7秒前
酷波er应助你爱我我爱你采纳,获得10
7秒前
李健的小迷弟应助二东采纳,获得10
9秒前
SciGPT应助cccr02采纳,获得10
9秒前
cheng发布了新的文献求助10
9秒前
栗子完成签到,获得积分10
9秒前
10秒前
Waaly完成签到,获得积分10
10秒前
10秒前
11秒前
12秒前
小点点发布了新的文献求助10
12秒前
13秒前
14秒前
int0030发布了新的文献求助10
14秒前
1988完成签到 ,获得积分10
16秒前
高分求助中
Evolution 10000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
Distribution Dependent Stochastic Differential Equations 500
A new species of Coccus (Homoptera: Coccoidea) from Malawi 500
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3157866
求助须知:如何正确求助?哪些是违规求助? 2809202
关于积分的说明 7880857
捐赠科研通 2467704
什么是DOI,文献DOI怎么找? 1313664
科研通“疑难数据库(出版商)”最低求助积分说明 630476
版权声明 601943