API src

Found 7 results.

Other language confidence: 0.8400602874570027

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.

Spatially Explicit Evolution of Diversity (SPEED)

Background The species environmental niche consists of the biotic and abiotic conditions necessary for long-term persistence. This concept occupies a central place in the ecological theories of competition, limiting ecological similarity, and species distribution. The niche is also important in determining how species respond to ongoing climate change. Species with narrow niches occur in the few geographic locations that offer acceptable conditions. When these species have limited capacity for dispersal, and/or have been isolated by human activity, climate change may force upon species the alternatives of rapid adaptation (via response to natural selection) or extinction. We focus on the niches of species in the Restionaceae, largely endemic to South Africa. The Goals We seek to understand how the species niche has evolved and how the capacity for niche change might impact future patterns of species diversity in the face of ongoing climate change. Gaining an understanding of these niche dynamics entails understanding how species niches differ currently and how these differences evolved. We need to understand how rates of evolution in groups of related species change in time. To understand how niche evolution translates into changes in biodiversity, we need to understand how ecological similarities among species, represented by species evolutionary relationships, influence the composition of ecological communities. The Approach We combine the approaches of evolutionary theory, molecular systematics, and ecology. The approach is interdisciplinary in that activities in these areas produce results that are used to support subsequent activities in other disciplines. Notably, DNA sequence data provide the raw material for developing hypotheses of evolutionary relationships. Data on species occurrences and climate allow us to model the species niche. We combine information on evolutionary relationships, ecological characteristics, and species composition in communities to determine how evolutionary relationships influence the assembly of communities. The Significance of the Project This project develops a framework for evaluating how rapid evolution might contribute to species responses to climate change. With this framework it will be possible to evaluate the potential for evolutionary response to climate change in large groups, potentially hundreds, of related species. We will develop more informed projections of the impacts of ongoing climate change by combining ecological data, understanding of evolutionary relationships and rates, and projections of future climates.

Die touristische Nutzung der Landschaft im Norden von Sylt 2002

Übersichtskarte Schleswig-Holsteinisches Wattenmeer Polygon- und Liniencover

Touristische Nutzung der Landschaft im Norden von Sylt 2002 (Linien)

Übersichtskarte Schleswig-Holsteinisches Wattenmeer Liniencover

Bryopyhtes in forest indices and traits

<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>Traits for each plot</p>

Bolivian Amazon lowland fish metacommunity data

<p>This dataset represents data from the paper Yukoni, T. and Torres L. V. (2016) Fish metacommunity dynamics in the patchy heterogeneous habitats of varzea lakes, turbid river channels and transparent clear and black water bodies in the Amazonian Lowlands of Bolivia. Environmental Biology of Fishes.</p> <p>This study documents the spatial dynamic of fish metacommunity based on the date sets of 65 sites, covering two geographic patches of transparent water valleys; Manuripi and Itenez Rivers, separated by turbid water valleys originate in the Andes and the Savanna.</p> <p>See http://www.freshwaterbiodiversity.eu/metadb/bf_mdb_view.php?entryID=BFE_105 for additional metadata.</p>

EUREKA-Projekt: EUROTRAC (EU 7) - Teilvorhaben: Erstellung einer Emissionsdatenbasis fuer TRACT

Innerhalb des Projektes TRACT als Teilprojekt des EUROTRAC-Projektes (European Experiments on the Transport and Transformation of Environmental Relevant Trace Constituents in the Troposphere over Europe), das wiederum ein Teilprojekt des EUREKA-Programmes ist, werden Schadstoffstroeme und Schadstoff-Umwandlungsprozesse in der Atmosphaere grossflaechig ueber komplexem Gelaende untersucht. Es wird eine detaillierte Emissions-Datenbasis fuer die Schadstoffe SO2, NOx, CO und VOC flaechendeckend fuer Baden-Wuerttemberg und angrenzende Gebiete in einer raeumlichen Aufloesung von 5 km x 5 kam und in einer zeitlichen Aufloesung von einer Stude fuer die TRACT-Untersuchungsperiode im September 1992 geschaffen. Hierzu werden einerseits Umfragen (fuer groessere Emittenten) durchgefuehrt, andererseits Modelle eingesetzt, die aufgrund von Wetterdaten, Produktivitaetsangaben und anderen statistischen Daten stuendliche Emissionen berechnen.

1