Overcoming biodiversity blindness: Secondary data in primary citizen science observations

被引:7
|
作者
Pernat, Nadja [1 ,2 ]
Canavan, Susan [3 ,4 ]
Golivets, Marina [5 ]
Hillaert, Jasmijn [6 ]
Itescu, Yuval [7 ,8 ,9 ]
Jaric, Ivan [10 ,11 ]
Mann, Hjalte M. R. [12 ]
Pipek, Pavel [3 ,13 ]
Preda, Cristina [14 ]
Richardson, David M. [3 ,15 ]
Teixeira, Heliana [16 ,17 ]
Vaz, Ana Sofia [18 ,19 ,20 ]
Groom, Quentin [21 ]
机构
[1] Univ Munster, Inst Landscape Ecol, Munster, Germany
[2] Univ Munster, Ctr Integrat Biodivers Res & Appl Ecol CIBRA, Munster, Germany
[3] Czech Acad Sci, Inst Bot, Pruhonice, Czech Republic
[4] Univ Galway, Sch Nat Sci, Galway, Ireland
[5] UFZ Helmholtz Ctr Environm Res, Halle, Germany
[6] Res Inst Nat & Forest, Brussels, Belgium
[7] Leibniz Inst Freshwater Ecol & Inland Fisheries, Berlin, Germany
[8] Free Univ Berlin, Berlin, Germany
[9] Univ Haifa, Dept Evolutionary & Environm Biol, Haifa, Israel
[10] Univ Paris Saclay, CNRS, AgroParisTech, Ecol Systemat Evolut, Gif Sur Yvette, France
[11] Czech Acad Sci, Inst Hydrobiol, Biol Ctr, Ceske Budejovice, Czech Republic
[12] Aarhus Univ, Dept Ecosci, Aarhus, Denmark
[13] Charles Univ Prague, Fac Sci, Dept Ecol, Prague, Czech Republic
[14] Ovidius Univ Constanta, Fac Nat & Agr Sci, Constanta, Romania
[15] Stellenbosch Univ, Ctr Invas Biol, Dept Bot & Zool, Stellenbosch, South Africa
[16] Univ Aveiro, Ctr Environm & Marine Studies, Aveiro, Portugal
[17] Univ Aveiro, Dept Biol, Aveiro, Aveiro, Portugal
[18] Univ Porto, Ctr Invest Biodiversidade & Recursos Genet, InBIO Lab Associado, CIBIO, Porto, Portugal
[19] CIBIO, BIOPOLIS Program Genom Biodivers & Land Planning, Vairao, Portugal
[20] Univ Lisbon, Tec Labs 1 2 1, NBI, Campus Fac Ciencias, Lisbon, Portugal
[21] Meise Bot Garden, Brussels, Belgium
来源
ECOLOGICAL SOLUTIONS AND EVIDENCE | 2024年 / 5卷 / 01期
关键词
artificial intelligence; biodiversity; citizen science; community science; ecological interactions; invasion science; monitoring; PHENOLOGY; INATURALIST; PATTERN; CULTURE;
D O I
10.1002/2688-8319.12295
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
In the face of the global biodiversity crisis, collecting comprehensive data and making the best use of existing data are becoming increasingly important to understand patterns and drivers of environmental and biological phenomena at different scales.Here we address the concept of secondary data, which refers to additional information unintentionally captured in species records, especially in multimedia-based citizen science reports. We argue that secondary data can provide a wealth of ecologically relevant information, the utilisation of which can enhance our understanding of traits and interactions among individual organisms, populations and biodiversity dynamics in general.We explore the possibilities offered by secondary data and describe their main types and sources. An overview of research in this field provides a synthesis of the results already achieved using secondary data and different approaches to information extraction.Finally, we discuss challenges to the widespread use of secondary data, such as biases, licensing issues, use of metadata and lack of awareness of this trove of data due to a missing common terminology, as well as possible solutions to overcome these barriers.Although the exploration and use of secondary data is only emerging, the many opportunities identified show how these data can enrich biodiversity research and monitoring. Multimedia data collected through citizen science, such as photographs of observed species, can provide additional information beyond the primary data of species name, location and date. This unintentionally captured secondary data may represent characteristics of individuals or populations, biotic interactions (including human-nature interactions), landscape and environmental conditions, or other biotic or abiotic features. With the millions of citizen science observations documented through multimedia, we hope that our work on the challenges and opportunities of secondary data will raise awareness of this treasure trove of information and how it can enrich biodiversity research.image
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页数:14
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