Using spectral indices derived from remote sensing imagery to represent arthropod biodiversity gradients in a European Sphagnum peat bog

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dc.citation.issue1
dc.citation.volume1
dc.contributor.authorMinor MA
dc.contributor.authorErmilov SG
dc.contributor.authorJoharchi O
dc.contributor.authorPhilippov DA
dc.contributor.editorOliveira Júnior JMB
dc.date.accessioned2024-09-10T00:59:01Z
dc.date.available2024-09-10T00:59:01Z
dc.date.issued2023-03
dc.description.abstractMonitoring of peatlands is an important conservation issue. We investigated communities of soil mites (Acari: Oribatida, Mesostigmata) inhabiting a relatively undisturbed European boreal mire characterized by a mosaic of oligotrophic and meso-eutrophic areas. We assess the potential of using remote sensing approach as a mapping and predictive tool for monitoring productivity and arthropod biodiversity in a peat bog. In georeferenced plots, Acari biodiversity, water table level, water pH and plot productivity class on the oligotrophic-eutrophic gradient were recorded. Data from the Landsat 8 OLI sensor were used to calculate several spectral indices known to represent productivity and surface moisture gradients in terrestrial ecosystems. We then explored the relationship between spectral indices, environmental gradients and biodiversity of mites. We found that several spectral indices were significantly and consistently correlated with local environmental variables and biodiversity of soil mites. The Excess Green Index performed best as a predictor of plot trophic class on the oligotrophic-eutrophic gradient and showed significant relationship with Oribatida diversity in 2016. However, following hot summer in 2019, there was no significant relationship between abundance and species richness of Oribatida and remotely sensed data; there was a weak correlation between abundance of Mesostigmata and spectral indices which represent surface moisture gradient (e.g., Normalised Difference Moisture Index). We discuss advantages and challenges of using spectral indices derived from remote sensing imagery to map biodiversity gradients in a peatland.
dc.description.confidentialfalse
dc.edition.editionMarch 2023
dc.format.pagination35-46
dc.identifier.citationMinor MA, Ermilov SG, Joharchi O, Philippov DA. (2023). Using spectral indices derived from remote sensing imagery to represent arthropod biodiversity gradients in a European Sphagnum peat bog. Arthropoda. 1. 1. (pp. 35-46).
dc.identifier.doi10.3390/arthropoda1010006
dc.identifier.eissn2813-3323
dc.identifier.elements-typejournal-article
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/71439
dc.languageEnglish
dc.publisherMDPI (Basel, Switzerland)
dc.publisher.urihttps://www.mdpi.com/2813-3323/1/1/6
dc.relation.isPartOfArthropoda
dc.rights(c) 2022 The Author/s
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectbiodiversity
dc.subjectfauna
dc.subjectLandsat 8 OLI
dc.subjectMesostigmata
dc.subjectoribatid mites
dc.subjectpeatlands
dc.subjectproductivity
dc.subjectremote sensing
dc.titleUsing spectral indices derived from remote sensing imagery to represent arthropod biodiversity gradients in a European Sphagnum peat bog
dc.typeJournal article
pubs.elements-id459735
pubs.organisational-groupOther
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