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May 7, 2026Scientific Reports0 citationsOpen Access

Trogloxene guano as a source of information on environmental pollution

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PŚPaweł ŚwisłowskiUniversity of OpoleGKGrzegorz KłysUniversity of OpolePDPaweł J. DomagałaUniversity of Opole

Key Points

  • This research aims to assess heavy metal pollution using bat guano as a non-invasive indicator.
  • Evaluated bat guano from various sites for multi-element metal profiling.
  • Measured concentrations of metals using atomic absorption spectroscopy.
  • Conducted analyses including log10 transformation and descriptive statistics.
  • Employed the Metal Pollution Index, Welch ANOVA, and principal component analysis.
  • Utilized hierarchical clustering and Spearman correlations to explore data structure.
  • Identified significant spatial heterogeneity in metal concentrations among sites.
  • Locations affected Mn, Fe, Ni, Cd, Hg, and Pb concentrations in bats.
  • Cu and Zn showed strong positive correlation (ρ = 0.958) and Mn-Ni also correlated (ρ = 0.786).

Abstract

Heavy metals are persistent, bioaccumulating pollutants, and assessing their exposure in biota requires indicators that capture spatial variability. This study evaluated fresh bat guano from different sites as a non-invasive matrix for characterising multi-element metal profiles and testing spatial differences among locations within species. Atomic Absorption Spectroscopy (AAS) technique was used to determine the concentrations of Mn, Fe, Ni, Cu, Zn, Cd, Hg, and Pb. Data were analysed after log10 transformation. Descriptive statistics and the Metal Pollution Index (MPI) were calculated, within-species location effects were tested using Welch ANOVA, and profile structure was further explored using hierarchical clustering, Spearman correlations and principal component analysis (PCA). MPI revealed marked spatial heterogeneity, ranging from 0.995 to 1.47, corresponding to an approximately threefold difference between the least and most affected sites. In the lesser horseshoe bat species, location significantly affected Mn, Fe, Ni, Cd, Hg, and Pb whereas in the greater mouse-eared bat the effect persisted for all analysed metals. The strongest positive correlations were Cu-Zn (ρ = 0.958) and Mn-Ni (ρ = 0.786). Together with MPI, fingerprint analysis and correlation structure, PCA supported the interpretation that fresh guano carries a structured spatial signal of metal mixtures and may therefore be useful in non-invasive environmental monitoring.

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Cite This Study

Świsłowski et al. (2026) studied this question.

synapsesocial.com/papers/69fbe2f2164b5133a91a2336https://doi.org/10.1038/s41598-026-52026-4
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Also Consider

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  4. 4Multivariate Assessment of Geographic and Ecological Drivers of Heavy Metal Accumulation in Bird Feathers from Jalisco, Mexico2026
  5. 5Multivariate source apportionment and integrated indexical assessment of heavy metal contamination in northeast Indian wetland sediments and soils.2026 · 1 citations