دورية أكاديمية
Can information from citizen science data be used to predict biodiversity in stormwater ponds?
| العنوان: | Can information from citizen science data be used to predict biodiversity in stormwater ponds? |
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| المؤلفون: | Frank Johansson, Jani Heino, Paul Coiffard, Richard Svanbäck, Jacob Wester, Luis Mauricio Bini |
| المصدر: | Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020) |
| بيانات النشر: | Nature Portfolio, 2020. |
| سنة النشر: | 2020 |
| المجموعة: | LCC:Medicine LCC:Science |
| مصطلحات موضوعية: | Medicine, Science |
| الوصف: | Abstract Citizen science data (CSD) have the potential to be a powerful scientific approach to assess, monitor and predict biodiversity. Here, we ask whether CSD could be used to predict biodiversity of recently constructed man-made habitats. Biodiversity data on adult dragonfly abundance from all kinds of aquatic habitats collected by citizen scientists (volunteers) were retrieved from the Swedish Species Observation System and were compared with dragonfly abundance in man-made stormwater ponds. The abundance data of dragonflies in the stormwater ponds were collected with a scientific, standardized design. Our results showed that the citizen science datasets differed significantly from datasets collected scientifically in stormwater ponds. Hence, we could not predict biodiversity in stormwater ponds from the data collected by citizen scientists. Using CSD from past versus recent years or from small versus large areas surrounding the stormwater ponds did not change the outcome of our tests. However, we found that biodiversity patterns obtained with CSD were similar to those from stormwater ponds when we restricted our analyses to rare species. We also found a higher beta diversity for the CSD compared to the stormwater dataset. Our results suggest that if CSD are to be used for estimating or predicting biodiversity, we need to develop methods that take into account or correct for the under-reporting of common species in CSD. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2045-2322 |
| Relation: | https://doaj.org/toc/2045-2322 |
| DOI: | 10.1038/s41598-020-66306-0 |
| URL الوصول: | https://doaj.org/article/09d0679500bc4af691a691fc917848bf |
| رقم الأكسشن: | edsdoj.09d0679500bc4af691a691fc917848bf |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20452322 |
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| DOI: | 10.1038/s41598-020-66306-0 |