Can information from citizen science data be used to predict biodiversity in stormwater ponds?

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 k...

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Autores principales:	Frank Johansson, Jani Heino, Paul Coiffard, Richard Svanbäck, Jacob Wester, Luis Mauricio Bini
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/09d0679500bc4af691a691fc917848bf
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spelling	oai:doaj.org-article:09d0679500bc4af691a691fc917848bf2021-12-02T17:52:43ZCan information from citizen science data be used to predict biodiversity in stormwater ponds?10.1038/s41598-020-66306-02045-2322https://doaj.org/article/09d0679500bc4af691a691fc917848bf2020-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-66306-0https://doaj.org/toc/2045-2322Abstract 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.Frank JohanssonJani HeinoPaul CoiffardRichard SvanbäckJacob WesterLuis Mauricio BiniNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Frank Johansson Jani Heino Paul Coiffard Richard Svanbäck Jacob Wester Luis Mauricio Bini Can information from citizen science data be used to predict biodiversity in stormwater ponds?
description	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.
format	article
author	Frank Johansson Jani Heino Paul Coiffard Richard Svanbäck Jacob Wester Luis Mauricio Bini
author_facet	Frank Johansson Jani Heino Paul Coiffard Richard Svanbäck Jacob Wester Luis Mauricio Bini
author_sort	Frank Johansson
title	Can information from citizen science data be used to predict biodiversity in stormwater ponds?
title_short	Can information from citizen science data be used to predict biodiversity in stormwater ponds?
title_full	Can information from citizen science data be used to predict biodiversity in stormwater ponds?
title_fullStr	Can information from citizen science data be used to predict biodiversity in stormwater ponds?
title_full_unstemmed	Can information from citizen science data be used to predict biodiversity in stormwater ponds?
title_sort	can information from citizen science data be used to predict biodiversity in stormwater ponds?
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/09d0679500bc4af691a691fc917848bf
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Can information from citizen science data be used to predict biodiversity in stormwater ponds?

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