Mapping Butterfly Species Richness and Abundance in Mountain Grasslands—Spatial Application of a Biodiversity Indicator DOI Creative Commons
Friederike Barkmann, Erich Tasser, Ulrike Tappeiner

et al.

Diversity and Distributions, Journal Year: 2025, Volume and Issue: 31(2)

Published: Feb. 1, 2025

ABSTRACT Aim The integration of high‐quality field data with high‐resolution remote sensing can give detailed insights into the spatial distribution biodiversity and provide valuable information for conservation at a scale relevant management action. We developed framework based on surveys modelling species richness abundance butterflies high resolution to inform about butterfly analyse their drivers effect landscape factors. Location Western Austria. Methods combined structured 175 grassland sites in western Austria variables describing topography, characteristics, composition configuration different radii around site. For predictions abundance, generalised linear models elastic net regularisation were used compared stepwise variable selection. To influence selected effect, topography applied. Results richness, Spearman rank correlation between predicted measured values was 0.62. predictive power lower 0.52. Models from smaller (125 250 m) generally showed better performance than those larger (500 1000 m). found an elevation, maximum productivity, northness, forest ecotone density most models. Main Conclusions Integrating techniques substantially enhances our ability understand patterns identify key resolution. Our study highlights positive edges, small woody features, moderate productivity abundance.

Language: Английский

Mapping Butterfly Species Richness and Abundance in Mountain Grasslands—Spatial Application of a Biodiversity Indicator DOI Creative Commons
Friederike Barkmann, Erich Tasser, Ulrike Tappeiner

et al.

Diversity and Distributions, Journal Year: 2025, Volume and Issue: 31(2)

Published: Feb. 1, 2025

ABSTRACT Aim The integration of high‐quality field data with high‐resolution remote sensing can give detailed insights into the spatial distribution biodiversity and provide valuable information for conservation at a scale relevant management action. We developed framework based on surveys modelling species richness abundance butterflies high resolution to inform about butterfly analyse their drivers effect landscape factors. Location Western Austria. Methods combined structured 175 grassland sites in western Austria variables describing topography, characteristics, composition configuration different radii around site. For predictions abundance, generalised linear models elastic net regularisation were used compared stepwise variable selection. To influence selected effect, topography applied. Results richness, Spearman rank correlation between predicted measured values was 0.62. predictive power lower 0.52. Models from smaller (125 250 m) generally showed better performance than those larger (500 1000 m). found an elevation, maximum productivity, northness, forest ecotone density most models. Main Conclusions Integrating techniques substantially enhances our ability understand patterns identify key resolution. Our study highlights positive edges, small woody features, moderate productivity abundance.

Language: Английский

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