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Mapping an invasive bryophyte species using hyperspectral remote sensing data

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Abstract

Reliable distribution maps are crucial for the management of invasive plant species. An alternative to traditional field surveys is the use of remote sensing data, which allows coverage of large areas. However, most remote sensing studies on invasive plant species focus on mapping large stands of easily detectable study species. In this study, we used hyperspectral remote sensing data in combination with field data to derive a distribution map of an invasive bryophyte species, Campylopus introflexus, on the island of Sylt in Northern Germany. We collected plant cover data on 57 plots to calibrate the model and presence/absence data of C. introflexus on another 150 plots for independent validation. We simultaneously acquired airborne hyperspectral (APEX) images during summer 2014, providing 285 spectral bands. We used a Maxent modelling approach to map the distribution of C. introflexus. Although C. introflexus is a small and inconspicuous species, we were able to map its distribution with an overall accuracy of 75 %. Reducing the sampling effort from 57 to 7 plots, our models performed fairly well until sampling effort dropped below 12 plots. The model predicts that C. introflexus is present in about one quarter of the pixels in our study area. The highest percentage of C. introflexus is predicted in the dune grassland. Our findings suggest that hyperspectral remote sensing data have the potential to provide reliable information about the degree of bryophyte invasion, and thus provide an alternative to traditional field mapping approaches over large areas.

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Acknowledgments

This study is part of the ERA-Net BiodivERsA project DIARS (Detection of Invasive plant species and Assessment of their impact on ecosystem properties through Remote Sensing) with the national funders ANR (Agence Nationale de la Recherché), BelSPO (Belgian Federal Science Policy Office) and DFG (Deutsche Forschungsgemeinschaft). Sandra Skowronek is funded through DFG research grant FE 1331/3-1. The authors would like to thank the nature conservation authority of Northern Friesland and the private land owners for granting us permission to conduct research in the protected dune heathlands on the island of Sylt. Many thanks to Emily Jane Francis and Carol Garzon for proofreading the manuscript.

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Authors and Affiliations

  1. Institute of Geography, University of Erlangen-Nuremberg, Wetterkreuz 15, 91058, Erlangen, Germany

    Sandra Skowronek & Hannes Feilhauer

  2. Institute of Geography and Geoecology, Karlsruhe Institute of Technology, Kaiserstr. 12, 76131, Karlsruhe, Germany

    Michael Ewald & Sebastian Schmidtlein

  3. Working Group Vegetation Ecology and Conservation Biology, University of Bremen, FB 2, Loebener Str., 28359, Bremen, Germany

    Maike Isermann

  4. VITO (Flemish Institute for Technological Research), Boeretang 200, 2400, Mol, Belgium

    Ruben Van De Kerchove

  5. UR “Ecologie et dynamique des systèmes anthropisées” (EDYSAN, FRE3498 CNRS-UPJV), Université de Picardie Jules Verne, 1 Rue des Louvels, 80037, Amiens Cedex 1, France

    Jonathan Lenoir & Tarek Hattab

  6. Ecology, Evolution and Biodiversity Conservation Section, KU Leuven, Kasteelpark Arenberg 31- 2435, 3001, Louvain, Belgium

    Raf Aerts, Jens Warrie & Olivier Honnay

  7. Department of Biodiversity and Molecular Ecology, Fondazione Edmund Mach, Via E. Mach 1, 38010, San Michele all’Adige, TN, Italy

    Duccio Rocchini

  8. Department of Earth and Environmental Sciences, Division of Forest, Nature and Landscape, KU Leuven, Celestijnenlaan 200E, 3001, Leuven, Belgium

    Ben Somers

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  1. Sandra Skowronek
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  2. Michael Ewald
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  4. Ruben Van De Kerchove
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  9. Olivier Honnay
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  10. Sebastian Schmidtlein
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  13. Hannes Feilhauer
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Correspondence to Sandra Skowronek.

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Skowronek, S., Ewald, M., Isermann, M. et al. Mapping an invasive bryophyte species using hyperspectral remote sensing data. Biol Invasions 19, 239–254 (2017). https://doi.org/10.1007/s10530-016-1276-1

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