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

Autor: Richard Svanbäck, Jani Heino, Jacob Wester, Frank Johansson, Paul Coiffard, Luis Mauricio Bini
Jazyk: angličtina
Rok vydání: 2020
Předmět:
0106 biological sciences
sudenkorennot
Odonata
lammikot (pienvedet)
Biodiversity
Beta diversity
stormwater
runoff
01 natural sciences
case study
Common species
Abundance (ecology)
citizen science
Citizen science
biodiversity
natural diversity
Multidisciplinary
Conservation biology
Environmental resource management
Wetlands ecology
Prognosis
Miljövetenskap
tutkijat
Geography
citizens
Habitat
data
kansalaiset
Freshwater ecology
Medicine
Hydrobiology
storm water
vertailu
Science
Rare species
Stormwater
researchers
010603 evolutionary biology
Article
tapaustutkimus
Animals
Community ecology
Ecosystem
Sweden
hulevesi
business.industry
010604 marine biology & hydrobiology
pools (small water systems)
luonnon monimuotoisuus
biodiversiteetti
Urban ecology
comparison
kansalaistiede
ponds
business
Environmental Sciences
Zdroj: Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
Scientific Reports
ISSN: 2045-2322
Popis: 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.
Databáze: OpenAIRE
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