Comparative assessment of satellite- and drone-based vegetation indices to predict arthropod biomass in shrub-steppes
Entity
UAM. Departamento de EcologíaPublisher
WileyDate
2022-07-09Citation
10.1002/eap.2707
Ecological Applications (2022): e2707
ISSN
1051-0761 (print)DOI
10.1002/eap.2707Funded by
BBVA Foundation, BBVA Dron Ricoti project; European Commission, Grant/ Award Number: LIFE15-NAT-ES-000802; REMEDINAL-3 from CAM; European Comission, Grant/Award Number: LIFE20-NAT-ES-000133Project
info:eu-repo/grantAgreement/EC/CINEA/LIFE15NAT/ES/000802; info:eu-repo/grantAgreement/EC/CINEA/LIFE20NAT/ES/000133Editor's Version
https://doi.org/10.1002/eap.2707Subjects
Arthropod biomass; Coprophagous arthropods; Epigeous arthropods; Shrub steppe; Vegetation index; Medio AmbienteRights
© 2022 The AuthorsEsta obra está bajo una licencia de Creative Commons Reconocimiento-NoComercial-SinObraDerivada 4.0 Internacional.
Abstract
Arthropod biomass is a key element in ecosystem functionality and a basic
food item for many species. It must be estimated through traditional costly
field sampling, normally at just a few sampling points. Arthropod biomass and
plant productivity should be narrowly related because a large majority of
arthropods are herbivorous, and others depend on these. Quantifying plant
productivity with satellite or aerial vehicle imagery is an easy and fast procedure already tested and implemented in agriculture and field ecology.
However, the capability of satellite or aerial vehicle imagery for quantifying
arthropod biomass and its relationship with plant productivity has been
scarcely addressed. Here, we used unmanned aerial vehicle (UAV) and satellite Sentinel-2 (S2) imagery to establish a relationship between plant productivity and arthropod biomass estimated through ground-truth field sampling in
shrub steppes. We UAV-sampled seven plots of 47.6–72.3 ha at a 4-cm pixel
resolution, subsequently downscaling spatial resolution to 50 cm resolution.
In parallel, we used S2 imagery from the same and other dates and locations at
10-m spatial resolution. We related several vegetation indices (VIs) with
arthropod biomass (epigeous, coprophagous, and four functional consumer
groups: predatory, detritivore, phytophagous, and diverse) estimated at 41–48
sampling stations for UAV flying plots and in 67–79 sampling stations for S2.
VIs derived from UAV were consistently and positively related to all arthropod
biomass groups. Three out of seven and six out of seven S2-derived VIs were
positively related to epigeous and coprophagous arthropod biomass, respectively. The blue normalized difference VI (BNDVI) and enhanced normalized
difference VI (ENDVI) showed consistent and positive relationships with
arthropod biomass, regardless of the arthropod group or spatial resolution. Our results showed that UAV and S2-VI imagery data may be viable and
cost-efficient alternatives for quantifying arthropod biomass at large scales
in shrub steppes. The relationship between VI and arthropod biomass is
probably habitat-dependent, so future research should address this relationship and include several habitats to validate VIs as proxies of arthropod
biomass
Files in this item
Google Scholar:Traba Díaz, Juan
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Gómez Catasus, Julia
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Barrero, A.
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Bustillo de La Rosa, C.
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Zurdo, J.
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Hervás, I.
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Pérez Granados, C.
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García De la Morena, Eladio Luis
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Santamaría, A.
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Reverter Cid, Margarita
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