Publication Details

Reference Category Journals
DOI / URL link
Title (Primary) Modelling patterns of pollinator species richness and diversity using satellite image texture
Author Hofmann, S.; Everaars, J.; Frenzel, M.; Bannehr, L.; Cord, A.F.;
Journal PLOS ONE
Year 2017
Department CLE; BZF; NSF;
Volume 12
Issue 10
Language englisch;
POF III (all) T12; T11;
Supplements https://doi.org/10.1371/journal.pone.0185591.s001
https://doi.org/10.1371/journal.pone.0185591.s002
https://doi.org/10.1371/journal.pone.0185591.s003
https://doi.org/10.1371/journal.pone.0185591.s004
https://doi.org/10.1371/journal.pone.0185591.s005
https://doi.org/10.1371/journal.pone.0185591.s006
https://doi.org/10.1371/journal.pone.0185591.s007
https://doi.org/10.1371/journal.pone.0185591.s008
https://doi.org/10.1371/journal.pone.0185591.s009
https://doi.org/10.1371/journal.pone.0185591.s010
UFZ wide themes RU1
Abstract Assessing species richness and diversity on the basis of standardised field sampling effort represents a cost- and time-consuming method. Satellite remote sensing (RS) can help overcome these limitations because it facilitates the collection of larger amounts of spatial data using cost-effective techniques. RS information is hence increasingly analysed to model biodiversity across space and time. Here, we focus on image texture measures as a proxy for spatial habitat heterogeneity, which has been recognized as an important determinant of species distributions and diversity. Using bee monitoring data of four years (2010–2013) from six 4 × 4 km field sites across Central Germany and a multimodel inference approach we test the ability of texture features derived from Landsat-TM imagery to model local pollinator biodiversity. Textures were shown to reflect patterns of bee diversity and species richness to some extent, with the first-order entropy texture and terrain roughness being the most relevant indicators. However, the texture measurements accounted for only 3–5% of up to 60% of the variability that was explained by our final models, although the results are largely consistent across different species groups (bumble bees, solitary bees). While our findings provide indications in support of the applicability of satellite imagery textures for modeling patterns of bee biodiversity, they are inconsistent with the high predictive power of texture metrics reported in previous studies for avian biodiversity. We assume that our texture data captured mainly heterogeneity resulting from landscape configuration, which might be functionally less important for wild bees than compositional diversity of plant communities. Our study also highlights the substantial variability among taxa in the applicability of texture metrics for modelling biodiversity.
ID 19308
Persistent UFZ Identifier http://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=19308
Hofmann, S., Everaars, J., Frenzel, M., Bannehr, L., Cord, A.F. (2017):
Modelling patterns of pollinator species richness and diversity using satellite image texture
PLOS One 12 (10), e0185591