839 research outputs found

    SIVIM – das Online-Datenbank-System zur Vegetation der iberischen Halbinsel und der Makaronesischen Inseln

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    SIVIM (Sistema de InformaciĂłn de la VegetaciĂłn IbĂ©rica y MacaronĂ©sica) is an information system designed for capturing, hosting, editing, analyzing and outputting georeferenced plot data of Iberian and Macaronesian vegetation. It currently hosts 86,000 relevĂ©s, mainly from the northern half of the Iberian Peninsula and the Balearic Islands, and will grow to 100,000 relevĂ©s in the near future. SIVIM has been conceived to offer direct and free on-line access to relevĂ©s, tables, as well as to floristic, syntaxonomical and bibliographical records. The system also offers on-line software for edition and analysis of vegetation data. The main characteristics of SIVIM are presented, and its particular technical solutions to typical data banking problems as well as its future objectives are briefly commented.SIVIM ist ein Informationssystem, mit welchem georeferenzierte Daten zur iberischen und makaronesischen Vegetation erfasst, gehostet, editiert, analysiert und ausgegeben werden können. Momentan umfasst das System 86.000 Aufnahmen. In naher Zukunft soll die Anzahl der Aufnahmen auf 100.000 steigen, hauptsĂ€chlich durch Daten aus dem Norden der Iberischen Halbinsel und von den Balearen. SIVIM wurde initiiert, um einen direkten, freien Online-Zugang zu Vegetationsaufnahmen, Vegetationstabellen, sowie zu floristischen, syntaxonomischen und bibliographischen Daten anzubieten. Außerdem bietet es Online-Software, um Vegetationsdaten zu editieren und zu analysieren. Dieser Beitrag gibt eine Übersicht ĂŒber die wesentlichen Eigenschaften von SIVIM und erlĂ€utert die implementierten technischen Lösungen typischer Datenbankprobleme sowie die zukĂŒnftigen Ziele

    Soil carbon stocks in a Sitka spruce chronosequence following afforestation

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    peer-reviewedIncreasing concentrations ofCO2 and other greenhouse gases in the atmosphere are leading to concern worldwide due to their contribution to the greenhouse effect. As the body of evidence supporting the need for change from a carbon rich economy/society becomes stronger, international mitigation agreements require high quality and precise information. Following the Kyoto Protocol and EU agreements to reduce carbon production, countries could utilise default values or comparable international data to calculate their carbon budgets. Initially, approximations were successful for generating a guide to a national carbon stock for reporting GHG inventories to the UNFCCC (Tier 1 ). However, now that the second phase of the Kyoto protocol is running until 2020, greater accuracy is essential and, where possible, nationally specific information is increasingly required (Tier 3, UNFCCC). Forestry and forest soils are seen as a key component in the carbon cycle and depending on their management, can mitigate or contribute to GHG emissions. Litter and soil organic matter (SOM) are two of the major carbon pools required for reporting under LULUCF. In this study, stocks of SOM and litter were recorded along a chronosequence of Sitka spruce (Picea sitchensis (Bong.) Carr.) on wet mineral gley soil. Over a 47-year period, the rate of soil carbon sequestration was found to be 1 .83 t C ha−1 yr−1 . Soil microbial biomass was used to estimate highly active SOM. The mineral soils were also fractionated in a density separation procedure to identify light and heavy SOM pools. These estimates can now be used to model carbon budgets of this most common soil type currently under forestry in Ireland.The Irish National Council for Forest Research and Development provided funding for this work as part of the CARBiFOR research project

    European Vegetation Archive (EVA): an integrated database of European vegetation plots

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    The European Vegetation Archive (EVA) has been developed since 2012 by the IAVS Working Group European Vegetation Survey as a centralized database of European vegetation plots. It stores copies of national and regional vegetation-plot databases on a single software platform. Data storage in EVA does not affect the ongoing independent development of the contributing databases, which remain the property of the data contributors. A prototype of the database management software TURBOVEG 3 has been developed for joint management of multiple databases that use different species lists. This is facilitated by the SynBioSys Taxon Database, a system of taxon names and concepts used in the individual European databases and their matches to a unified list of European flora. TURBOVEG 3 also includes procedures for handling data requests, selections and provisions according to the approved EVA Data Property and Governance Rules. By 30 June 2015, 61 databases from all European regions have joined EVA, contributing in total 1 024 236 vegetation plots from 57 countries, 82% of them with geographical coordinates. EVA provides a unique data source for large-scale analyses of European vegetation diversity both in fundamental research and nature conservation applications. Updated information on EVA is available online at http://euroveg.org/eva-database

    The European position of Dutch plant communities

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    Contains fulltext : 72513.pdf (publisher's version ) (Open Access)14 p

    Coastal sand dune vegetation of Velika plaĆŸa (Montenegro)

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    Velika plaĆŸa (Ulcinj, Montenegro) is the largest sandy beach along the coast of the eastern Adriatic that still has well-developed sand-dune vegetation. Although the characterization of the flora and vegetation of Velika plaĆŸa has been addressed by many authors, knowledge on its vegetation remained poor. We made a phytosociological study of sand beach vegetation comprising both dunal and wetland areas to provide a comprehensive survey of sand dune vegetation and habitat typology of Velika plaĆŸa. Based on 149 relevĂ©s (both from literature and recent field work), and with numerical classification (Flexible beta) and ordination (Non-metric multidimensional scaling) our results show that the vegetation of Velika plaĆŸa is much more diverse than previously known. Altogether, 19 plant communities from 6 vegetation classes were identified. Among them we described two new associations: Cuscuto cesatianae-Phyletum nodiflorae and Onobrychido caput-galli-Vulpietum fasciculatae

    Mapping topography and broad vegetation type to characterise the Boxford meadows SSSI (Unit 2)

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    Understanding the dynamic relationship between hydrology and ecology in a complex wetland setting should be considered integral to the sustainable management and conservation of wetland habitats and future water resource planning. Wetland hydrology can exhibit considerable spatial complexity as a result of sub surface and surface heterogeneity. The latter of which may be determined by the relationship between spatial topography variation and broad vegetation distribution. Any study to investigate such a relationship must be at a spatial resolution sufficient to identify patterns in surface topography and vegetation type. In this study state of the art survey technology was used to collect and record for subsequent mapping the topographic and vegetation characteristics of the Boxford lowland chalk groundwater dependent terrestrial ecosystem (GDTE). The resultant survey dataset successfully unveiled distinct patterns in topography and vegetation type. The analysis of the data in a Geographical Information System (GIS) desk confirmed for the first time the presence of paleo-channels and a braided fluvial system within the meadows. In addition the combined survey method gives some indication that the type of vegetation present appears to coincide with some of the more distinctive topographical features. The results demonstrate that combining the field survey campaign alongside desk based GIS analysis is an extremely useful and versatile tool and can provide valuable information to support the decision making process for both further scientific investigation and sustainable habitat management

    Winter Herbage Mass Accumulation and Animals Grazing Days of Set Stocking or Cell Grazing Dairy x Beef Systems in Southwest England

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    Cell grazing (CG) has shown to increase the production per hectare by allowing higher stocking rates, greater grass production and higher herbage utilisation throughout the grazing season compared to set stocking (SS). Our objective was to compare the herbage growth rate during winter resting (WHGR, October/November to April) and the animals grazing days per ha (AGD-ha) of CG and SS systems grazed by dairy x beef steers. Three 1.75ha (1.5ha in 2018) plots and three 1.0ha were used for the SS and CG, respectively. Forty-two and 48 autumn born dairy x beef steer calves were split into six equal groups and randomly allocated to treatments in April 2018 and April 2020, respectively. In the second grazing seasons (2019 and 2021), the number of animals was reduced to keep stocking rates comparative to the prior year, and steers remained in the plots until finishing (October/November). Herbage mass (HM) was recorded weekly with a rising plate meter. The WHGR was estimated by subtracting the HM recorded at the end of the previous grazing season to the HM recorded at the beginning of the following season and divided by the number of days between readings. The AGD-ha was calculated by summing the days each animal grazed each area and divided by the size of the study enclosure. In three of the four years, the CG had fewer days of winter resting (157-175) than the SS (157-182), whereas the WHGR was greater in three of the four winters (average across years: 5.77 vs. 4.05 kg DM/ha per d, for CG and SS respectively). Despite the shorter winter rest, overall, the CG accumulated 37% more HM (average across years: 976 vs. 710 kg DM/ha) and had 78% more AGD-ha (1102 vs. 620 animal.d/ha) than SS. These differences do not seem to be driven by the herbage residual at the end of the grazing season but by the change in botanical composition across time

    Vegetation of the coastal dunes and wetland of Schinias National Park (NE Attica, Sterea Ellas, Greece)

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    The vegetation developing on the coastal sand dunes and wetland of Schinias National Park, a Natura 2000 Site, was studied following the Braun-Blanquet method. Vegetation units were delimited using cluster analysis and by applying the fidelity measure; the phi-coefficient was used for the definition of diagnostic species. The vegetation types distinguished (twenty associations, two sub-associations and thirteen communities not assigned formal rank), which belong to 18 alliances, 16 orders and 12 classes, are discussed and presented in phytosociological tables. Among them Mathiolo tricuspidatae-Anthemidetum tomentosae, Pistacio lentisci-Pinetum halepensis pinetosum pineae, Puccinellio festuciformis-Aeluropetum litoralis cressetosum creticae and Tamaricetum tetrandrae are described for the first time. The vegetation types recognized in the study area are linked to twelve EUNIS habitat types, nine of which are related to 13 Annex I habitat types (Directive 92/43/EEC), and one to a habitat type of national interest (72A0). One Annex I habitat type occurring in the study area has scattered presence in the Natura 2000 network in Greece (1420), two are infrequent (2190, 2260), two are rare (2230, 2270) and three are priority habitat types (1150, 2250, 2270)
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