气候变化领域集成服务门户(CCPortal): Community science enhances modelled bee distributions in a tropical Asian city

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DOI	10.1111/btp.13298
	Community science enhances modelled bee distributions in a tropical Asian city
	Lim, Daniel Shan En; Pang, Sean Eng Howe; Koay, Tze Min; Soh, Zestin Wen Wen; Ascher, John S.; Tan, Eunice Jingmei
发表日期	2024
ISSN	0006-3606
EISSN	1744-7429
起始页码	56
结束页码	2
卷号	56 期号:2
英文摘要	Bees and the ecosystem services they provide are vital to urban ecosystems, but little is understood about their distributions, particularly in the Asian tropics. This is largely due to taxonomic impediments and limited inventorying, monitoring, and digitization of occurrence records. While expert collections (EC) are demonstrably insufficient by themselves as a data source to model and understand bee distributions, the boom of community science (CS) in urban areas provides an untapped opportunity to learn about bee distributions within our cities. We used CS observations in combination with EC observations to model the distribution of bees in Singapore, a small tropical city-state in Southeast Asia. To address the restricted spatial context, we performed multiple bias corrections and show that species distribution models performed well when estimating the distribution of habitat specialists with distinct range limits detectable within Singapore. We successfully modelled 37 bee species, where model statistics improved for 23 species upon the incorporation of CS observations. Nine species had insufficient EC observations to obtain acceptable models, but could be modelled with the incorporation of CS observations. This is the first study to combine both EC and CS observations to map and model the occurrences of tropical Asian bee species for a highly urbanized region at such fine resolution. Our results suggest that urban landscapes with impervious surfaces and higher temperatures are less suitable for bee species, and such findings can be used to advise the management of urban landscapes to optimize the diversity of bee pollinators and other organisms. Using a combination of community science and expert-collected data, we modelled the distribution of 37 bee species in the tropical city-state of Singapore. Our results suggest that urban landscapes with impervious surfaces and higher temperatures are less suitable for bee species, and such findings can be used to advise the management of urban landscapes to optimize the diversity of bee pollinators and other organisms.image
英文关键词	Asia; bees; community science; species distribution modelling; tropics; urban landscapes
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Ecology
WOS记录号	WOS:001158978200001
来源期刊	BIOTROPICA
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/303834
作者单位	Yale NUS College; National University of Singapore; National University of Singapore
推荐引用方式 GB/T 7714	Lim, Daniel Shan En,Pang, Sean Eng Howe,Koay, Tze Min,et al. Community science enhances modelled bee distributions in a tropical Asian city[J],2024,56(2).
APA	Lim, Daniel Shan En,Pang, Sean Eng Howe,Koay, Tze Min,Soh, Zestin Wen Wen,Ascher, John S.,&Tan, Eunice Jingmei.(2024).Community science enhances modelled bee distributions in a tropical Asian city.BIOTROPICA,56(2).
MLA	Lim, Daniel Shan En,et al."Community science enhances modelled bee distributions in a tropical Asian city".BIOTROPICA 56.2(2024).