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Scaling relations reveal global and regional differences in morphometry of reservoirs and natural lakes
Stockholm University, Faculty of Science, Department of Physical Geography. University of Copenhagen, Denmark.ORCID iD: 0000-0002-4292-5808
Stockholm University, Faculty of Science, Department of Physical Geography. Stockholm University, Faculty of Science, Stockholm University Baltic Sea Centre.ORCID iD: 0000-0002-2261-4279
Stockholm University, Faculty of Science, Department of Physical Geography.ORCID iD: 0000-0001-7159-1555
Stockholm University, Faculty of Science, Department of Physical Geography.ORCID iD: 0000-0002-6769-0136
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Number of Authors: 92022 (English)In: Science of the Total Environment, ISSN 0048-9697, E-ISSN 1879-1026, Vol. 822, article id 153510Article in journal (Refereed) Published
Abstract [en]

Water bodies provide essential ecosystem services linked to morphometric features that might differ between natural lakes and reservoirs. We use the HydroLAKES global dataset to quantitatively compare large (area > 1 km2) reservoirs and natural lakes in terms of scaling exponents between morphometric measures (volume, area, shore length). These exponents are further compared to those expected from geometrical assumptions and constraints. Lakes cover a larger range of volumes for the same range of surface areas than reservoirs, and have a larger volume-area scaling exponent. The volume-area scaling exponent for reservoirs (but not natural lakes) and the area-shore length exponent for all water bodies follow the predictions for self-affine surfaces. Land cover and terrain influence the scaling relations more for lakes than for reservoirs. These morphometric differences may be used to model the impact of reservoirs and lakes on hydrological processes and associated ecosystem services at regional to global scales.

Place, publisher, year, edition, pages
2022. Vol. 822, article id 153510
Keywords [en]
Lake morphometry, Reservoirs, Ecosystem services, Scaling relations, Lake shape
National Category
Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:su:diva-203490DOI: 10.1016/j.scitotenv.2022.153510ISI: 000766802100006PubMedID: 35101483Scopus ID: 2-s2.0-85123985871OAI: oai:DiVA.org:su-203490DiVA, id: diva2:1649678
Available from: 2022-04-04 Created: 2022-04-04 Last updated: 2025-02-07Bibliographically approved

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Sjöberg, YlvaDessirier, BenoîtGhajarnia, NavidJaramillo, FernandoJarsjö, JerkerZou, LiangchaoManzoni, Stefano

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Sjöberg, YlvaDessirier, BenoîtGhajarnia, NavidJaramillo, FernandoJarsjö, JerkerZou, LiangchaoManzoni, Stefano
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Department of Physical GeographyStockholm University Baltic Sea Centre
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