API src

Found 520 results.

Similar terms

s/botanische-vielfalt/Botanische Vielfalt/gi

Synthesis data on plant community composition, plant traits and ecosystem properties from the Jena Main experiment

Data on plant communities (biomass and relative cover of all target species), plant traits (41 different traits, measured on 59 species), and 42 ecosystem properties/functions, measured between 2003 and 2012 in the Jena Main Biodiversity experiment. In floodplain grasslands of the Saale river, near Jena (Germany) 78 20x20 m grassland plots were set up, in which combinations of 1, 2, 4, 8 or 16 species were sown, from a species pool of 60. Thereby, the aim was to create a gradient in plant species richness and functional composition. In each year from 2003-2012, relative cover (in %) of each target species was estimated within 3x3 m subplots. In addition, plant biomass was measured in both spring and summer. In addition, we compiled trait data for 59 of the 60 sown species, based on a combination of existing literature, pot experiments and measurements in the Jena Main Biodiversity experiment monoculture (1-species) plots. Data on 41 traits was collected. Finally, we measured in 41 different ecosystem functions in the Jena Main Biodiversity experiment. Each ecosystem function was measured in at least 3 different years between 2003 and 2012. The "R2.model.random.text[x]" (where x is a number from 1 to 40) are secondary data files, and the outcome of statistical models. In these, 100 times a random subset of 1 to 40 (out of the 41) plant traits were analysed as predictors of the 42 ecosystem functions, in order to assess how the proportion of variance in ecosystem functioning explained by traits (R2 values) depends on the number of traits analysed.

Sonderforschungsbereich (SFB) 990: Ökologische und sozioökonomische Funktionen tropischer Tieflandregenwald-Transformationssysteme (Sumatra, Indonesien), Teilprojekt A01: Langzeitliche Vegetationsveränderungen, Pflanzenphänologie und Pflanzen-Bestäuber-Interaktionen in Regenwald und Regenwaldtransformationen in Zentral-Sumatra

Mit paläoökologischen Parametern (Multiproxy-Ansatz) werden langzeitliche Vegetations- und Klima-veränderungen sowie Mensch-Landschaft-Interaktionen rekonstruiert. Veränderungsraten und Pflanzendiversitätsmuster in Ökosystemen und ihre Beziehungen zu Klima, Feuer und menschlichem Einfluss werden ausgewertet für zukünftige Szenarien von Umweltveränderungen. Pflanzenphänologie, Verbreitungs- und Reproduktionsstrategien werden durch Pollenniederschlag in Plots unterschiedlicher Landnutzung und Artenanreicherung untersucht. Pflanzen-Bestäuber-Interaktionen werden untersucht um den Effekt von Landnutzungsänderungen auf Bestäuberfunktionen und Netzwerke auszuwerten.

Schwerpunktprogramm (SPP) 1374: Biodiversitäts-Exploratorien; Exploratories for Long-Term and Large-Scale Biodiversity Research (Biodiversity Exploratories), Teilvorhaben: Auswirkungen der umgebenden multitrophen Biodiversität auf die Multifunktionalität von Ökosystemen

Globale Bedrohungen für die Biodiversität und die vielfältigen Ökosystemleistungen, die sie unterstützt, haben viele Forschungen über die Beziehung zwischen Biodiversität und der Funktionsweise von Ökosystemen motiviert. Diese Arbeit hat wesentliche Beweise dafür geliefert, dass die Biodiversität im Parzellenmaßstab mehrere Ökosystemfunktionen beeinflussen kann. Die meisten dieser Studien konzentrierten sich jedoch hauptsächlich auf die Auswirkungen der Biodiversität auf kleinen räumlichen Skalen auf Ökosystemfunktionen und nicht auf die Auswirkungen großräumiger Veränderungen der Biodiversität auf Ökosystemleistungen. Diese Lücke ist erheblich, da sich die Biodiversität auf allen räumlichen Ebenen verändert und zu einer großflächigen Homogenisierung führt. Die Berücksichtigung der Multiskalennatur der Biodiversität ist daher unerlässlich, wenn wir verstehen wollen, wie die Biodiversität Ökosystemleistungen untermauert. Neuere empirische Studien zeigten die Schlüsselrolle der umgebenden Pflanzenvielfalt bei der Unterstützung von Ökosystemleistungen. Diese Studien konzentrierten sich jedoch nur auf die Pflanzenvielfalt, während frühere Studien die Bedeutung der Biodiversität über mehrere trophische Ebenen hinweg aufzeigten, um das Funktionieren des Ökosystems zu unterstützen. Hier setzt das hier vorgeschlagene Projekt an. Das Multi-BEF Projekt zielt darauf ab, zu untersuchen, wie die umgebende Biodiversität mehrerer trophischer Ebenen (Bodenzersetzer-Mikroorganismen, Insektenfresser, Arthropoden-Raubtiere) die Bereitstellung mehrerer Ökosystemleistungen in Grasland beeinflusst. Insbesondere werden wir (i) die Auswirkungen der Landnutzungsintensivierung auf verschiedenen räumlichen Ebenen auf die Biodiversität der Landschaft identifizieren; (ii) merkmalsbasierte Ansätze verwenden, um die Mechanismen zu untersuchen, die der Reaktion der Biodiversität zugrunde liegen (z. B. Nischenpartitionierung, Ausbreitungsprozesse); (ii) Bewertung der Rolle der Landschaftsbiodiversität bei der Erbringung mehrerer Ökosystemleistungen.

openSenseMap: Sensor Box HE Giesensdorfer Grundschule senseBox3

Das ist eine senseBox der Humboldt Explorers. Weitere Informationen unter www.humboldt-explorers.de

Vascular plant species occurrence and cover estimates of restored grasslands and reference sites in Germany

This dataset documents vascular plant diversity recorded on grassland sites in Germany. Data were collected at multiple restored and reference grassland sites across Northern, Central, and Southern Germany in 2022 and 2023, with site coordinates reported at two-decimal precision (blurred for privacy). Vegetation surveys combined (i) a full inventory within one 2 m × 2 m quadrat per 50 m × 5 m sub-transect, where species cover was estimated, and (ii) an additional 30-minute search for further species across the entire 5 m × 200 m transect, recorded as presence only. Cover was assessed using an adapted Braun-Blanquet ordinal scale with predefined percentage ranges; mean cover per species was derived from the midpoint of the assigned range. Because vegetation layers may overlap, summed covers can exceed 100%. Species were identified in the field; records marked "cf." indicate uncertain species-level determination. With a few exceptions, the plant nomenclature follows the German standard list (Buttler & Thieme, 2018), supporting harmonized taxonomic reporting. The dataset includes sub-transect dimensions, survey method, observation area, scientific names, cover class, associated percentage ranges, derived mean cover, and taxonomic uncertainty flags.

Flower-visiting insect intercations in grasslands, 2008

<p>Original data comes from a project which takes or took place as part of the DFG priority program "Exploratories for large-scale and long-term functional biodiversity research". The data is stored together with descriptive metadata, in combination called a dataset, in the project repository (https://www.bexis.uni-jena.de). Species information was extracted from that original dataset. The second paragraph is part of the metadata of the original dataset.</p><p>Specialisation of flower visitors is compared across grasslands along a gradient of land use intensity. We focus on resource-based mechanisms that may determine flower visiting insect communities in different habitats. We analyze flower visiting rates of pollinators in order to measure possible variation between differently used sites. Moreover, we characterize the degree of specialisation on species and community level (pollinator networks; Blüthgen et al. 2007).</p>

Plant diversity (ALB, HAI, SCH, 2008)(updated)

<p>Original data comes from a project which takes or took place as part of the DFG priority program "Exploratories for large-scale and long-term functional biodiversity research". The data is stored together with descriptive metadata, in combination called a dataset, in the project repository (https://www.bexis.uni-jena.de). Species information was extracted from that original dataset. The second paragraph is part of the metadata of the original dataset.</p><p> influence of herbaceous plant diversity on the orientation of insects</p>

Assessment of formal, natural and social insurances: how to cope best with impacts of extreme events on grasslands for sustainable farming systems?

The impacts of climate change pose one of the main challenges for agriculture in Central Europe. In particular, an increase of extreme and compound extreme climate events is expected to strongly impact economic revenues and the provision of ecosystem services by agroecosystems. A highly relevant, still open question is how grassland farming systems can cope best with these climate risks to adapt to climate change. A prominently discussed economic instrument to relieve income risks is the formal insurance, but natural and social insurances are newly under discussion as well. Natural insurances include specific grassland management practises such as maintaining species-rich grasslands. Social insurances, in our terminology, comprise all forms of societal support for farmers’ climate risk management. This includes in particular arrangements of community-supported agriculture that reduce income risks for farmers, or payments for ecosystem services if their design takes risk into account. Formal, natural and social insurances may be substitutes or complements, and affect farmer behaviour in different ways. Thus, policy support for any of the three forms of insurance will have effects on the others, which need to be understood. InsuranceGrass takes an innovative interdisciplinary view and assesses formal, natural and social insurances: on how to cope best with impacts of climate extremes on grasslands, integrating social and natural sciences perspectives and feedbacks between them. Based on this holistic analysis, InsuranceGrass will provide recommendations for policy and insurance design to ensure effective risk-coping of farmers and to enhance sustainable grassland farming, considering economic, environmental and social aspects. Impacts of extreme and compound extreme events on the provision of ecosystem services (e.g. magnitude and quality of yield, climate regulation via carbon sequestration, plant diversity) by permanent grasslands in Germany and Switzerland are quantified based on long-term observations and field experiments. Cutting-edge model-based approaches will be based on behavioural theories and empirically calibrated. With the help of social-ecological modelling, InsuranceGrass explicitly incorporates feedbacks between farmers’ and households’ decision, grassland management options, and ecosystem service provision in a dynamic manner. The contributions of different insurance types are developed, discussed and evaluated jointly with different groups of stakeholders (i.e., farmers, insurance companies, public administration). A scientifically sound and holistic assessment of the role of formal, natural, and social insurances for the sustainability of grassland farming under extreme events requires both disciplinary excellence and seamless interdisciplinary collaboration. InsuranceGrass brings together four groups from Zürich and Leipzig, with unique disciplinary expertise and a track record of successful collaboration.

Plant diversity (SCH, 2008)(2nd round)

<p>Original data comes from a project which takes or took place as part of the DFG priority program "Exploratories for large-scale and long-term functional biodiversity research". The data is stored together with descriptive metadata, in combination called a dataset, in the project repository (https://www.bexis.uni-jena.de). Species information was extracted from that original dataset. The second paragraph is part of the metadata of the original dataset.</p><p>herbaceous plant diversity in the surrounding of Plantago lanceolata</p>

The role of soil fauna for plant performance and ecosystem functioning in a plant diversity gradient

The soil fauna affects soil structure, nutrient mineralization, decomposition processes, and the activity and composition of the microbial community in soil. These effects likely also modify plant performance, plant competition and the use of plant tissue by above-ground herbivores. The proposed project investigates effects of earthworms and soil insects on the above-ground system in grassland communities of different diversity. Earthworm and soil insect density is manipulated in experimental plots differing in plant diversity. The manipulations include the combined exclusion of below-ground insects and above-ground herbivores. It is expected that the response of the above-ground plant and animal community to manipulations of soil animal populations depends on plant species, plant diversity and plant functional group. The differential response is expected to propagate into the herbivore system thereby affecting the structure of the above-ground animal community.

1 2 3 4 5 … 50 51 52