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Terrestrial land-cover type richness is positively linked to landscape-level functioning

Author

Listed:
  • Jacqueline Oehri

    (University of Zurich)

  • Bernhard Schmid

    (University of Zurich
    University of Zurich)

  • Gabriela Schaepman-Strub

    (University of Zurich)

  • Pascal A. Niklaus

    (University of Zurich)

Abstract

Biodiversity–ecosystem functioning (BEF) experiments have shown that local species richness promotes ecosystem functioning and stability. Whether this also applies under real-world conditions is still debated. Here, we focus on larger scales of space, time and ecological organization. We develop a quasi-experimental design in which we relate land-cover type richness as measure of landscape richness to 17-year time series of satellite-sensed functioning in 4974 landscape plots 6.25 or 25 ha in size. We choose plots so that landscape richness is orthogonal to land cover-type composition and environmental conditions across climatic gradients. Landscape-scale productivity and temporal stability increase with landscape richness, irrespective of landscape plot size. Peak season near-infrared surface albedo, which is relevant for surface energy budgets, is higher in mixed than in single land-cover type landscapes. Effect sizes are as large as those reported from BEF-experiments, suggesting that landscape richness promotes landscape functioning at spatial scales relevant for management.

Suggested Citation

  • Jacqueline Oehri & Bernhard Schmid & Gabriela Schaepman-Strub & Pascal A. Niklaus, 2020. "Terrestrial land-cover type richness is positively linked to landscape-level functioning," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-019-14002-7
    DOI: 10.1038/s41467-019-14002-7
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    Cited by:

    1. Jacqueline Oehri & Gabriela Schaepman-Strub & Jin-Soo Kim & Raleigh Grysko & Heather Kropp & Inge Grünberg & Vitalii Zemlianskii & Oliver Sonnentag & Eugénie S. Euskirchen & Merin Reji Chacko & Giovan, 2022. "Vegetation type is an important predictor of the arctic summer land surface energy budget," Nature Communications, Nature, vol. 13(1), pages 1-12, December.

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