This series refers to datasets related to the presence of people; livelihoods; species or ecosystems; environmental functions, services, and resources; infrastructure; or economic, social, or cultural assets in places and settings that could be adversely affected by climate hazards, including flooding, wildfires and urban heat island effects.
The datasets are part of the European Climate Adaptation Platform (Climate-ADAPT) accessible here: https://climate-adapt.eea.europa.eu/
Viele Baumarten reagieren empfindlich gegenüber Dürre und Hitze, wie sie vermehrt durch den Klimawandel auftreten. Die künftige Eignung von Baumarten für die Forstwirtschaft erfährt daher hohe Aufmerksamkeit. Die Diskussion fokussiert sich dabei stark auf die Dürretoleranz von Bäumen und etwaige biotische Einwirkungen durch herbivore Insekten und Pathogene. Neben dem Klimawandel wirken jedoch auch anthropogene Stickstoffemissionen aus der Landwirtschaft, der Verbrennung fossiler Energieträger und aus Vegetationsbränden global auf Waldökosysteme ein. Interaktionen von Effekten des Klimawandels und anthropogener Stickstoffdeposition auf die Vitalität und Produktivität von Bäumen sind bisher wenig untersucht. Wir haben in einem deutschlandweiten Netzwerk von Waldbeständen mit unterschiedlichen Kombinationen von atmosphärischer Stickstoffdeposition, mittlerem Jahresniederschlag und Jahresmitteltemperatur Biomasse, Zuwachs, Feinwurzelmorphologie und Wassernutzungseffizienz bei Jungwuchs der Rotbuche (Fagus sylvatica) im Vergleich zu Traubeneiche (Quercus petraea), Douglasie (Pseudotsuga menziesii) und Weißtanne (Abies alba) untersucht. Dabei wurde für die Rotbuche bei hoher atmosphärischer Stickstoffdeposition u. a. ein für den Wasserhaushalt ungünstiges, d. h. niedriges Wurzel/Spross-Verhältnis gefunden. Ferner war bei hoher Stickstoffdeposition der Sprosslängenzuwachs verringert und die Spaltöffnungen der Blätter blieben bei Trockenheit länger geöffnet, was bei starken Dürren zu kritischen Wasserverlusten führen kann. Die regionale Variabilität der Stickstoffdeposition beruhte v. a. auf Ammonium, das in erster Linie aus der Landwirtschaft stammt. In durch Massentierhaltung geprägten Gebieten (insbesondere westliches Niedersachsen) sind Vitalität und Zuwachs des Buchenjungwuchses durch die Stickstoffbelastung deutlich beeinträchtigt. Dies ist relevant für die Klimawandeladaptation der Forstwirtschaft und den Schutz von Buchenwaldökosystemen.
This data set comprises images of land snails that were taken for the development of Artificial Intelligence (AI)-based models for the identification of 1) European Vertigo species, and 2) land snails from Tenerife, Canary Islands. The images were taken as part of the Training Artificial Intelligence Models for Land Snail Identification (TrAILSID) project (https://tettris.eu/2024/10/11/trailsid-training-artificial-intelligence-models-for-land-snail-identification), which is part of the initiative Transforming European Taxonomy through Training, Research and Innovations (TETTRIs) funded by the European Union. The first subproject provides 1916 images of the 17 European Vertigo species and Columella edentula, Pupilla muscorum, and Sphyradium doliolum as similar species. The genus Vertigo comprises small terrestrial gastropods, which are often difficult to identify, including species listed in the EU Habitats and Species Directive. This directive requires the surveillance of these species to determine whether a favourable conservation status has been achieved. The images of Columella edentula, Pupilla muscorum, and Sphyradium doliolum, were added to the dataset for the development of the AI model for species identification so that the AI model can recognize that a specimen does not belong to Vertigo. The second subproject provides 5592 images of 106 land snail species occurring on Tenerife, Canary Islands. Endemic terrestrial gastropods in the Canary Islands, which are part of the Mediterranean biodiversity hotspot, are often under threat due to ongoing changes in land use, urbanisation, and an increase in stochastic events such as droughts or wildfires. They are also under threat due to the introduction of foreign species with high invasive potential, which are also represented in the dataset. Images of Vertigo pygmaea, which also occurs on Tenerife, were added to the Tenerife dataset from the Vertigo dataset for the development of the AI model for species identification of species from Tenerife. Note that not all figured specimens are from Tenerife. Photographs were taken of shells housed in the collections of the Zoological Museum of the Leibniz Institute for the Analysis of Biodiversity (ZMH), the Museum of Nature and Archeology Santa Cruz de Tenerife (TFMCMT), the Natural History Museum Bern (NMBE), the Natural History Museum Gothenburg (NMG), the Natural History Museum London (NHMUK), the National Museum Wales (NMW), as well as land snails from Tenerife, Canary Islands. This data set comprises images of land snails that were taken for the development of Artificial Intelligence (AI)-based models for the identification of 1) European Vertigo species, and 2) land snails from Tenerife, Canary Islands. The images were taken as part of the Training Artificial Intelligence Models for Land Snail Identification (TrAILSID) project (https://tettris.eu/2024/10/11/trailsid-training-artificial-intelligence-models-for-land-snail-identification), which is part of the initiative Transforming European Taxonomy through Training, Research and Innovations (TETTRIs) funded by the European Union. The first subproject provides 1916 images of the 17 European Vertigo species and Columella edentula, Pupilla muscorum, and Sphyradium doliolum as similar species. The genus Vertigo comprises small terrestrial gastropods, which are often difficult to identify, including species listed in the EU Habitats and Species Directive. This directive requires the surveillance of these species to determine whether a favourable conservation status has been achieved. The images of Columella edentula, Pupilla muscorum, and Sphyradium doliolum, were added to the dataset for the development of the AI model for species identification so that the AI model can recognize that a specimen does not belong to Vertigo. The second subproject provides 5592 images of 106 land snail species occurring on Tenerife, Canary Islands. Endemic terrestrial gastropods in the Canary Islands, which are part of the Mediterranean biodiversity hotspot, are often under threat due to ongoing changes in land use, urbanisation, and an increase in stochastic events such as droughts or wildfires. They are also under threat due to the introduction of foreign species with high invasive potential, which are also represented in the dataset. Images of Vertigo pygmaea, which also occurs on Tenerife, were added to the Tenerife dataset from the Vertigo dataset for the development of the AI model for species identification of species from Tenerife. Note that not all figured specimens are from Tenerife. Photographs were taken of shells housed in the collections of the Zoological Museum of the Leibniz Institute for the Analysis of Biodiversity (ZMH), the Museum of Nature and Archeology Santa Cruz de Tenerife (TFMCMT), the Natural History Museum Bern (NMBE), the Natural History Museum Gothenburg (NMG), the Natural History Museum London (NHMUK), the National Museum Wales (NMW), as well as the private research collections of Klaus Groh (KG), Stefan Meng (SM), Marco T. Neiber (MTN), and Frank Walther (FW). The photographs were taken by staff from the Malacology Section of the Zoological Museum at the Leibniz Institute for the Analysis of Biodiversity (LIB): Till Cunow, Bernhard Hausdorf, Marco T. Neiber, Elicio Tapia, and Mareike Ulrich. The AI-based models for the identification of 1) European Vertigo species, and 2) land snails from Tenerife, Canary Islands are developed by Rita Pucci and Vincent Kalkman at Naturalis, Leiden, and will be made accessible by them. The image recognition models for the European species of the genus Vertigo and the terrestrial mollusc of Tenerife were created by Rita Pucci (Naturalis Biodiversity Center/LIACS) and can be downloaded for deployment from Gitlab. The models are also deployed on ARISE: Classification model for the genus Vertigo: https://gitlab.com/arise-biodiversity/DSI/algorithms/tettris-classification-vertigo Classification model for the terrestrial mollusc of Tenerife https://gitlab.com/arise-biodiversity/DSI/algorithms/tettris-classification-tenerife Contacts Marco T. Neiber Originator Leibniz Institute for the Analysis of Biodiversity Change Martin-Luther-King-Platz 3 20146 Hamburg Germany mneiber@hotmail.de https://orcid.org/0000-0001-5974-5013 Bernhard Hausdorf Originator · Administrative point of contact Leibniz Institute for the Analysis of Biodiversity Change Martin-Luther-King-Platz 3 20146 Hamburg Germany b.hausdorf@leibniz-lib.de https://orcid.org/0000-0002-1604-1689
Ostern ist für viele Menschen ein Fest der Familie, der Tradition und des Frühlings. Gerade in dieser Zeit lohnt es sich, auch auf Umwelt- und Naturschutz zu achten: mit regionalen Produkten, weniger Verpackungsmüll, nachhaltiger Dekoration und einem verantwortungsvollen Umgang mit Osterfeuern. Umweltsenatorin Ute Bonde: „Wegen der anhaltenden Trockenheit in diesem Frühjahr und der Gefahr von Vegetationsbränden ist bei Osterfeuern besondere Vorsicht geboten. Brennmaterial bitte erst kurz vor dem Anzünden aufschichten und darauf achten, dass sich keine Tiere im Holz oder Reisig verstecken.“ Wer Ostern nachhaltig gestalten möchte, kann auf regionale Lebensmittel, wiederverwendbare Deko und möglichst wenig Plastik setzen. Auch die Reste der Feiertage lassen sich oft sinnvoll weiterverwenden – etwa Eierschalen, die viel zu schade für den Müll sind. Sie eignen sich hervorragend fürs Upcycling im Haushalt und Garten: Wenn all das beachtet wird, gerät das Fest nicht nur schön, sondern auch naturverträglich.