Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-28841
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: The Historic Square Foot Dataset : outstanding small‐scale richness in Swiss grasslands around the year 1900
Authors: Riedel, Susanne
Widmer, Stefan
Babbi, Manuel
Buholzer, Serge
Grünig, Andreas
Herzog, Felix
Richner, Nina
Dengler, Jürgen
et. al: No
DOI: 10.1111/jvs.13208
10.21256/zhaw-28841
Published in: Journal of Vegetation Science
Volume(Issue): 34
Issue: 5
Page(s): e13208
Issue Date: 20-Sep-2023
Publisher / Ed. Institution: Wiley
ISSN: 1100-9233
1654-1103
Language: English
Subjects: Grassland; Diversity; Vegetation resurvey; Global change
Subject (DDC): 333.7: Land, natural recreational areas
577: Ecology
Abstract: Grasslands host a significant share of Europe's species diversity but are among the most threatened vegetation types of the continent. Resurvey studies can help to understand patterns and drivers of changes in grassland diversity and species composition. However, most resurveys are based on local or regional data, and hardly reach back more than eight decades. Here, we publish and describe the Historic Square Foot Dataset, comprising 580 0.09-m2 and 43 1-m2 vegetation plots carefully sampled between 1884 and 1931, covering a wide range of grassland types across Switzerland. We provide the plots as an open-access data set with coordinates, relocation accuracy and fractional aboveground biomass per vascular plant species. We assigned EUNIS habitat types to most plots. Mean vascular plant species richness in 0.09 m2 was 19.7, with a maximum of 47. This is considerably more than the present-day world record of 43 species for this plot size. Historically, species richness did not vary with elevation, differing from the unimodal relationship found today. The data set provides unique insight into how grasslands in Central Europe looked more than 100 years ago, thus offering manifold options for studies on the development of grassland biodiversity and productivity.
URI: https://digitalcollection.zhaw.ch/handle/11475/28841
Fulltext version: Published version
License (according to publishing contract): CC BY 4.0: Attribution 4.0 International
Departement: Life Sciences and Facility Management
Organisational Unit: Institute of Natural Resource Sciences (IUNR)
Published as part of the ZHAW project: Square Foot Project
Appears in collections:Publikationen Life Sciences und Facility Management

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Riedel, S., Widmer, S., Babbi, M., Buholzer, S., Grünig, A., Herzog, F., Richner, N., & Dengler, J. (2023). The Historic Square Foot Dataset : outstanding small‐scale richness in Swiss grasslands around the year 1900. Journal of Vegetation Science, 34(5), e13208. https://doi.org/10.1111/jvs.13208
Riedel, S. et al. (2023) ‘The Historic Square Foot Dataset : outstanding small‐scale richness in Swiss grasslands around the year 1900’, Journal of Vegetation Science, 34(5), p. e13208. Available at: https://doi.org/10.1111/jvs.13208.
S. Riedel et al., “The Historic Square Foot Dataset : outstanding small‐scale richness in Swiss grasslands around the year 1900,” Journal of Vegetation Science, vol. 34, no. 5, p. e13208, Sep. 2023, doi: 10.1111/jvs.13208.
RIEDEL, Susanne, Stefan WIDMER, Manuel BABBI, Serge BUHOLZER, Andreas GRÜNIG, Felix HERZOG, Nina RICHNER und Jürgen DENGLER, 2023. The Historic Square Foot Dataset : outstanding small‐scale richness in Swiss grasslands around the year 1900. Journal of Vegetation Science. 20 September 2023. Bd. 34, Nr. 5, S. e13208. DOI 10.1111/jvs.13208
Riedel, Susanne, Stefan Widmer, Manuel Babbi, Serge Buholzer, Andreas Grünig, Felix Herzog, Nina Richner, and Jürgen Dengler. 2023. “The Historic Square Foot Dataset : Outstanding Small‐Scale Richness in Swiss Grasslands around the Year 1900.” Journal of Vegetation Science 34 (5): e13208. https://doi.org/10.1111/jvs.13208.
Riedel, Susanne, et al. “The Historic Square Foot Dataset : Outstanding Small‐Scale Richness in Swiss Grasslands around the Year 1900.” Journal of Vegetation Science, vol. 34, no. 5, Sept. 2023, p. e13208, https://doi.org/10.1111/jvs.13208.


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