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8 results for “plant biodiversity conservation”
Data from: Plant population success across urban ecosystems – a framework to inform biodiversity conservation in cities
1. In a rapidly urbanising world, the ability of plant species to survive and build self-sustaining populations in urban environments is increasingly important for biodiversity conservation. Yet the contribution of cities to biodiversity conservation remains unclear because ecologists have studied biodiversity patterns, largely without considering the population establishment of plants and the ways in which different kinds of urban ecosystems harbour native and endangered plant species. These limitations can mislead conservation policies for cities. 2. To better-understand how urban ecosystems can contribute to biodiversity conservation, we propose a framework that links the population status (casual or established) of plant species with ecosystem novelty and highlights barriers to population establishment in different types of urban ecosystems, from natural remnants to novel ecosystems. 3. To quantify the relative importance of natural remnants vs. human-shaped ecosystems for the conservation of self-sustaining urban plant populations we re-analyse a unique dataset from a metropolitan region in Europe with information on the population status of 1199 plant species. 4. Results demonstrate that urban ecosystems harbour many established native and endangered species although a considerable share (37%) of species of conservation concern are confined to natural remnants. In hybrid and immature novel ecosystems, high species numbers reflect many species with only casual populations. The role of novel ecosystems as habitats for native and endangered plant species increases as novel ecosystems mature. 5. Synthesis and applications. General information about plant species richness in urban environments may mislead conservation policies as different kinds of urban ecosystems can play different roles in harbouring species of conservation concern. Moreover, presence-absence data can mask establishment failures of species. This proposed framework helps to distinguish between casual and established populations of plant species, and highlights barriers to population persistence in urban ecosystems; reflecting different land uses and land use histories over time. Revealing the role of natural remnants vs. hybrid vs. novel ecosystems as habitats for species of conservation concern illustrates opportunities for biodiversity conservation in all urban ecosystems and can support setting priorities for conservation.
Supplementary material 1 from: Valkó O, Tóth K, Kelemen A, Miglécz T, Radócz S, Sonkoly J, Tóthmérész B, Török P, Deák B (2018) Cultural heritage and biodiversity conservation – plant introduction and practical restoration on ancient burial mounds. Nature Conservation 24: 65-80. https://doi.org/10.3897/natureconservation.24.20019
Supplementary material 1 from: Valkó O, Tóth K, Kelemen A, Miglécz T, Radócz S, Sonkoly J, Tóthmérész B, Török P, Deák B (2018) Cultural heritage and biodiversity conservation – plant introduction and practical restoration on ancient burial mounds. Nature Conservation 24: 65-80. https://doi.org/10.3897/natureconservation.24.20019
Data from: Plant population success across urban ecosystems – a framework to inform biodiversity conservation in cities
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Supplementary material 1 from: Di Cecco V, Di Santo M, Di Musciano M, Manzi A, Di Cecco M, Ciaschetti G, Marcantonio G, Di Martino L (2020) The Majella National Park: a case study for the conservation of plant biodiversity in the Italian Apennines. Italian Botanist 10: 1-24. https://doi.org/10.3897/italianbotanist.10.52952
Complete list of taxa stored at the MSB
Figure 3 from: Di Cecco V, Di Santo M, Di Musciano M, Manzi A, Di Cecco M, Ciaschetti G, Marcantonio G, Di Martino L (2020) The Majella National Park: a case study for the conservation of plant biodiversity in the Italian Apennines. Italian Botanist 10: 1-24. https://doi.org/10.3897/italianbotanist.10.52952
Figure 3 Plants of Iris marsica grown in the Majella National Park nursery).
Figure 2 from: Di Cecco V, Di Santo M, Di Musciano M, Manzi A, Di Cecco M, Ciaschetti G, Marcantonio G, Di Martino L (2020) The Majella National Park: a case study for the conservation of plant biodiversity in the Italian Apennines. Italian Botanist 10: 1-24. https://doi.org/10.3897/italianbotanist.10.52952
Figure 2 Number of species and subspecies per family stored in the Majella Seed Bank.
Figure 1 from: Di Cecco V, Di Santo M, Di Musciano M, Manzi A, Di Cecco M, Ciaschetti G, Marcantonio G, Di Martino L (2020) The Majella National Park: a case study for the conservation of plant biodiversity in the Italian Apennines. Italian Botanist 10: 1-24. https://doi.org/10.3897/italianbotanist.10.52952
Figure 1 Geographical position of the Majella National Park.
Data from: Population structure and historical demography of Dipteronia dyeriana (Sapindaceae), an extremely narrow palaeoendemic plant from China: implications for conservation in a biodiversity hot spot
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.