Plant species richness increases with light availability, but not variability, in temperate forests understorey
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1472-6785
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Plant species richness increases with light availability, but not variability, in temperate forests understorey ; volume:20 ; number:1 ; day:29 ; month:7 ; year:2020 ; pages:1-9 ; date:12.2020
BMC ecology ; 20, Heft 1 (29.7.2020), 1-9, 12.2020
- Creator
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Dormann, Carsten F.
Bagnara, Maurizio
Boch, Steffen
Hinderling, Judith
Janeiro-Otero, Andrea
Schäfer, Deborah
Schall, Peter
Hartig, Florian
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12898-020-00311-9
- URN
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urn:nbn:de:101:1-2020092522410059124238
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:45 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Dormann, Carsten F.
- Bagnara, Maurizio
- Boch, Steffen
- Hinderling, Judith
- Janeiro-Otero, Andrea
- Schäfer, Deborah
- Schall, Peter
- Hartig, Florian
- SpringerLink (Online service)
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Plant species richness increases with light availability, but not variability, in temperate forests understorey
Parametrische Statistik : Verteilungen, maximum likelihood und GLM in R
Habitatmodelle : Methodik, Anwendung, Nutzen ; Tagungsband zum Workshop, 8. - 10. Oktober 2003, UFZ Leipzig
Calibration of probability predictions from machine-learning and statistical models
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Effect of forest management on forest structure and its influence on forest biodiversity in temperate forests of central Europe
Plant species richness increases with light availability, but not variability, in temperate forests understorey
Parametrische Statistik : Verteilungen, maximum likelihood und GLM in R
Habitatmodelle : Methodik, Anwendung, Nutzen ; Tagungsband zum Workshop, 8. - 10. Oktober 2003, UFZ Leipzig
Calibration of probability predictions from machine-learning and statistical models
Decaying trees improve nesting opportunities for cavity‐nesting birds in temperate and boreal forests: a meta‐analysis and implications for retention forestry
No consistent effect of plant species richness on resistance to simulated climate change for above- or below-ground processes in managed grasslands
Parametrische Statistik : Verteilungen, maximum likelihood und GLM in R
Exploration of Concerns about the Evidence-Based Guideline Approach in Conservation Management: Hints from Medical Practice
Exploration of concerns about the evidence-based guideline approach in conservation management: hints from medical practice
Reply to: “Research on agroforestry systems and biodiversity conservation: what can we conclude so far and what should we improve?” by Boinot et al. 2022
Why we need a canonical ecology curriculum