Mapping of arthropod alpha and beta diversity in heterogeneous arctic-alpine ecosystems

Hein N, Löffler J, Feilhauer H (2019)


Publication Type: Journal article

Publication year: 2019

Journal

Book Volume: 54

Article Number: 101007

DOI: 10.1016/j.ecoinf.2019.101007

Abstract

Assessing biodiversity in arctic-alpine ecosystems is a costly task. We test in the current study whether we can map the spatial patterns of spider alpha and beta diversity using remotely-sensed surface reflectance and topography in a heterogeneous alpine environment in Central Norway. This proof-of-concept study may provide a tool for an assessment of arthropod communities in remote study areas. Data on arthropod species distribution and richness were collected through pitfall trapping and subjected to a detrended correspondence analysis (DCA) to extract the main species composition gradients. The DCA axis scores as indicators of species composition as well as trap species richness were regressed against a combined data set of surface reflectance as measured by the Sentinel-2 satellite and topographical parameters extracted from a digital elevation model. The models were subsequently applied to the spatial data set to achieve a pixel-wise prediction of both species richness and position in the DCA space. The spatial variation in the modelled DCA scores was used to draw conclusions regarding spider beta-diversity. The species composition was described with two DCA axes that were characterized by post hoc-defined indicator species, which showed a typical annidation in the arctic-alpine environment under study. The fits of the regression models for the DCA axes and species richness ranged from R2 = 0.25 up to R2 = 0.62. The resulting maps show strong gradients in alpha and beta diversity across the study area. Our results indicate that the diversity patterns of spiders can at least partially be explained by means of remotely sensed data. Our approach would likely benefit from the additional use of high resolution aerial photography and LiDAR data and may help to improve conservation strategies in arctic-alpine ecosystems.

Authors with CRIS profile

Involved external institutions

How to cite

APA:

Hein, N., Löffler, J., & Feilhauer, H. (2019). Mapping of arthropod alpha and beta diversity in heterogeneous arctic-alpine ecosystems. Ecological Informatics, 54. https://doi.org/10.1016/j.ecoinf.2019.101007

MLA:

Hein, Nils, Jörg Löffler, and Hannes Feilhauer. "Mapping of arthropod alpha and beta diversity in heterogeneous arctic-alpine ecosystems." Ecological Informatics 54 (2019).

BibTeX: Download