Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-20213
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Using incomplete floristic monitoring data from habitat mapping programmes to detect species trends
Authors: Bruelheide, Helge
Jansen, Florian
Jandt, Ute
Bernhardt‐Römermann, Markus
Bonn, Aletta
Bowler, Diana
Dengler, Jürgen
Eichenberg, David
Grescho, Volker
Harter, David
Jugelt, Matthias
Kellner, Simon
Ludwig, Martin
Wesche, Karsten
Lütt, Silke
et. al: No
DOI: 10.1111/ddi.13058
10.21256/zhaw-20213
Published in: Diversity and Distributions
Volume(Issue): 26
Issue: 7
Page(s): 782
Pages to: 794
Issue Date: 29-Jun-2020
Publisher / Ed. Institution: Wiley
ISSN: 1366-9516
1472-4642
Language: English
Subject (DDC): 333.7: Land, natural recreational areas
Abstract: Aim: The loss of biodiversity has raised serious concerns about the entailing losses of ecosystem services. Here, we explore the potential of repeated habitat mapping data to identify floristic changes over time. Using one German federal state as a case study, we assessed floristic changes between the 1980s and 2010s. These habitat data have great potential for analysis because of their high spatial coverage while also posing methodological challenges such as incomplete observation data. We developed a modelling approach that accounts for incomplete observations and explored the ability to detect temporal trends. Location: The Federal State of Schleswig‐Holstein (Germany) Methods: We compiled plant species lists from the earliest (1980s) and most recent (2010s) habitat mapping survey and aligned differing habitat definitions across mapping campaigns. A total of 5,503 mapped polygons, each with a list of species records, intersected the two surveys. We accounted for underrecorded species by assigning occurrence probabilities, based on species co‐occurrence information across all surveys, using Beals' index and tested the robustness of this approach by simulation experiments. For those species with significant increases and decreases in occurrence probability, we linked these trends to the species' functional characteristics. Results: We found a systematic loss of species that are moderately threatened. Species that indicate low nitrogen supply and high soil moisture declined, suggesting a shift towards a more eutrophic and drier landscape. Importantly, assessing specific plant traits associated with losses, we also detected a decrease in species with reddish and blueish flowers and species providing nectar, pointing to a decrease of insect‐pollinated taxa. Main conclusions: The identified changes raise concerns that plant biodiversity has fundamentally changed over the last three decades, with concomitant consequences for ecosystem services, especially pollination. Given the general lack of historical standardized data, our approach for trend analyses using incomplete observation data may be widely applicable to assess long‐term biodiversity change.
URI: https://digitalcollection.zhaw.ch/handle/11475/20213
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)
Appears in collections:Publikationen Life Sciences und Facility Management

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Bruelheide, H., Jansen, F., Jandt, U., Bernhardt‐Römermann, M., Bonn, A., Bowler, D., Dengler, J., Eichenberg, D., Grescho, V., Harter, D., Jugelt, M., Kellner, S., Ludwig, M., Wesche, K., & Lütt, S. (2020). Using incomplete floristic monitoring data from habitat mapping programmes to detect species trends. Diversity and Distributions, 26(7), 782–794. https://doi.org/10.1111/ddi.13058
Bruelheide, H. et al. (2020) ‘Using incomplete floristic monitoring data from habitat mapping programmes to detect species trends’, Diversity and Distributions, 26(7), pp. 782–794. Available at: https://doi.org/10.1111/ddi.13058.
H. Bruelheide et al., “Using incomplete floristic monitoring data from habitat mapping programmes to detect species trends,” Diversity and Distributions, vol. 26, no. 7, pp. 782–794, Jun. 2020, doi: 10.1111/ddi.13058.
BRUELHEIDE, Helge, Florian JANSEN, Ute JANDT, Markus BERNHARDT‐RÖMERMANN, Aletta BONN, Diana BOWLER, Jürgen DENGLER, David EICHENBERG, Volker GRESCHO, David HARTER, Matthias JUGELT, Simon KELLNER, Martin LUDWIG, Karsten WESCHE und Silke LÜTT, 2020. Using incomplete floristic monitoring data from habitat mapping programmes to detect species trends. Diversity and Distributions. 29 Juni 2020. Bd. 26, Nr. 7, S. 782–794. DOI 10.1111/ddi.13058
Bruelheide, Helge, Florian Jansen, Ute Jandt, Markus Bernhardt‐Römermann, Aletta Bonn, Diana Bowler, Jürgen Dengler, et al. 2020. “Using Incomplete Floristic Monitoring Data from Habitat Mapping Programmes to Detect Species Trends.” Diversity and Distributions 26 (7): 782–94. https://doi.org/10.1111/ddi.13058.
Bruelheide, Helge, et al. “Using Incomplete Floristic Monitoring Data from Habitat Mapping Programmes to Detect Species Trends.” Diversity and Distributions, vol. 26, no. 7, June 2020, pp. 782–94, https://doi.org/10.1111/ddi.13058.


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