Leveraging citizen science for monitoring urban forageable plants.

IF 11.8 2区 生物学 Q1 MULTIDISCIPLINARY SCIENCES
Filipi Miranda Soares, Luís Ferreira Pires, Maria Carolina Garcia, Yamine Bouzembrak, Lidio Coradin, Natalia Pirani Ghilardi-Lopes, Rubens Rangel Silva, Aline Martins de Carvalho, Benildes Coura Moreira Dos Santos Maculan, Sheina Koffler, Uiara Bandineli Montedo, Debora Pignatari Drucker, Raquel Santiago, Anand Gavai, Maria Clara Peres de Carvalho, Ana Carolina da Silva Lima, Hillary Dandara Elias Gabriel, Stephanie Gabriele Mendonça de França, Karoline Reis de Almeida, Bárbara Junqueira Dos Santos, Antonio Mauro Saraiva
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引用次数: 0

Abstract

Urbanization brings forth social challenges in emerging countries such as Brazil, encompassing food scarcity, health deterioration, air pollution, and biodiversity loss. Despite this, urban areas like the city of São Paulo still boast ample green spaces, offering opportunities for nature appreciation and conservation, enhancing city resilience and livability. Citizen science is a collaborative endeavor between professional scientists and nonprofessional scientists in scientific research that may help to understand the dynamics of urban ecosystems. We believe citizen science has the potential to promote human and nature connection in urban areas and provide useful data on urban biodiversity.

利用公民科学监测城市可食用植物。
城市化给巴西等新兴国家带来了社会挑战,包括粮食短缺、健康恶化、空气污染和生物多样性丧失。尽管如此,圣保罗市等城市地区仍然拥有大量绿地,为欣赏和保护自然提供了机会,提高了城市的抗灾能力和宜居性。公民科学是专业科学家和非专业科学家在科学研究方面的合作努力,有助于了解城市生态系统的动态。我们相信,公民科学有可能促进城市地区人与自然的联系,并提供有关城市生物多样性的有用数据。
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来源期刊
GigaScience
GigaScience MULTIDISCIPLINARY SCIENCES-
CiteScore
15.50
自引率
1.10%
发文量
119
审稿时长
1 weeks
期刊介绍: GigaScience seeks to transform data dissemination and utilization in the life and biomedical sciences. As an online open-access open-data journal, it specializes in publishing "big-data" studies encompassing various fields. Its scope includes not only "omic" type data and the fields of high-throughput biology currently serviced by large public repositories, but also the growing range of more difficult-to-access data, such as imaging, neuroscience, ecology, cohort data, systems biology and other new types of large-scale shareable data.
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