Anne mimet google scholar
Anne Mimet – Google Scholar
Locating wildlife crossings for multispecies connectivity across linear infrastructures. A Mimet, C Clauzel, JC Foltête. Landscape Ecology 31, 1955-1973, …
Technical University of Munich – Cited by 669
Anne Mimet – Google Scholar
Technical University of Munich – Cité(e) 662 fois
Technical University of Munich – Cité(e) 669 fois
Mimet Anne – Lehrstuhl für Terrestrische Ökologie
2020-, present, Postdoctoral research – Chair for Terrestrial Ecology (TUM, Germany). 2017-, 2019, Postdoctoral research, department Computational Landscape …
Species–area relationships in continuous vegetation: Evidence from …
OPUS FAU | Species–area relationships in continuous vegetation: Evidence from Palaearctic grasslands
Share in Twitter · Search Google Scholar Statistics … Ewelina Klichowska, Łukasz Kozub, Anna Kuzemko, Michael Manthey, Anne Mimet, Alireza Naqinezhad, …
AimSpecies–area relationships (SARs) are fundamental scaling laws in ecology although their shape is still disputed. At larger areas, power laws best represent SARs. Yet, it remains unclear whether SARs follow other shapes at finer spatial grains in continuous vegetation. We asked which function describes SARs best at small grains and explored how sampling methodology or the environment influence SAR shape.LocationPalaearctic grasslands and other non‐forested habitats.TaxaVascular plants, bryophytes and lichens.MethodsWe used the GrassPlot database, containing standardized vegetation‐plot data from vascular plants, bryophytes and lichens spanning a wide range of grassland types throughout the Palaearctic and including 2,057 nested‐plot series with at least seven grain sizes ranging from 1 cm2 to 1,024 m2. Using nonlinear regression, we assessed the appropriateness of different SAR functions (power, power quadratic, power breakpoint, logarithmic, Michaelis–Menten). Based on AICc, we tested whether the ranking of functions differed among taxonomic groups, methodological settings, biomes or vegetation types.ResultsThe power function was the most suitable function across the studied taxonomic groups. The superiority of this function increased from lichens to bryophytes to vascular plants to all three taxonomic groups together. The sampling method was highly influential as rooted presence sampling decreased the performance of the power function. By contrast, biome and vegetation type had practically no influence on the superiority of the power law.Main conclusionsWe conclude that SARs of sessile organisms at smaller spatial grains are best approximated by a power function. This coincides with several other comprehensive studies of SARs at different grain sizes and for different taxa, thus supporting the general appropriateness of the power function for modelling species diversity over a wide range of grain sizes. The poor performance of the Michaelis–Menten function demonstrates that richness within plant communities generally does not approach any saturation, thus calling into question the concept of minimal area.
Juliano Sarmento Cabral – Biozentrum der Universität Würzburg
03.01.2023 — Juliano Sarmento Cabral. Guest PD Dr., group leader. Ecosystem Modeling, CCTB. University of Würzburg. Klara-Oppenheimer-Weg 32, …
Michael HENSEL | Professor (Full) | Dipl. Ing. Grad Dip Des …
Over the last 12 months I have experienced twice the removal of a significant number of citations from my Google scholar site. Three days ago a total of 60 …
Establishment of second-growth forests in human landscapes
Establishment of second-growth forests in human landscapes: ecological mechanisms and genetic consequences | Annals of Forest Science | Full Text
von A Hampe · 2020 · Zitiert von: 9 — Google Scholar. Forest Europe (2015) State of Europe’s forests 2015. Ministerial Conference on the Protection of Forests in Europe, Madrid.
• Key message This special issue gathers articles arising from the ERA-NET BiodivERsA3 research project “Unraveling the Potential of Spontaneous Forest Establishment for Improving Ecosystem Functions and Services in Dynamic Landscapes (SPONFOREST)”. Using a broad spectrum of research approaches, they provide detailed insights into how new forest stands establish and which consequences the establishment process has for their character and functioning.
Macroecology as a hub between research disciplines …
von PJ Leitão · 2020 · Zitiert von: 4 — Anne Mimet,. Anne Mimet. Department of Computational Landscape Ecology, Helmholtz Centre for … Citations: 2. Handling Editor: Holger Kreft.
Measuring rewilding progress – PMC – NCBI
von A Torres · 2018 · Zitiert von: 64 — We used Web of Science and Google Scholar to identify and review primary studies evaluating the evidence for each action where available.
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