Sökning: "vegetation analysis"

Visar resultat 1 - 5 av 114 avhandlingar innehållade orden vegetation analysis.

  1. 1. Vegetation and local environment on shore ridges at Vickleby, Öland, Sweden an analysis

    Detta är en avhandling från Uppsala : Sv. växtgeografiska sällsk

    Författare :Mohamed Younis Ammar; Uppsala universitet.; [1978]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Växtgeografi;

    Sammanfattning : .... LÄS MER

  2. 2. Wastewater treatment in constructed wetlands Effects of vegetation, hydraulics and data analysis methods

    Detta är en avhandling från Linköping : Linköping University Electronic Press

    Författare :Hristina Bodin; Linköpings universitet.; Linköpings universitet.; [2013]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; constructed wetland; free water surface flow; wastewater treatment; Kenya; Sweden; vegetation; harvest; Cyperus papyrus; Echinochloa pyramidalis; mass load; phosphorus; ammonium; suspended solids; pollutant removal; hydraulics; residence time distribution; data analysis methods; Konstgjorda våtmarker; avloppsvatten; vattenrening; fosfor; ammonium; partiklar; Kenya; Sverige; växter; Cyperus papyrus; Echinochloa pyramidalis; skörd; hydraulik; dataanalysmetod;

    Sammanfattning : Degradation of water resources has become one of the most pressing global concerns currently facing mankind. Constructed Wetlands (CWs) represent a concept to combat deterioration of water resources by acting as buffers between wastewater and receiving water bodies. LÄS MER

  3. 3. Vegetation structure and interactions on mires

    Detta är en avhandling från Crister Albinsson, Dept of Natural Sciences, Högskolan i Kalmar, Box 905, S-391 29 Kalmar, Sweden

    Författare :Crister Albinsson; [1996]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; soligenous water supply; sloping fen; ordination; niche breadth; Narthecium ossifragum; liverwort; light competition; life strategy; hepatic; environmental gradient; classification; Association analysis; autecology; southern Sweden; Sphagnum; vegetation; Plant ecology; Växtekologi;

    Sammanfattning : The distribution of sloping fens in southern Sweden was mapped, their vegetation sampled and related to the environmental variables recorded. This mire type is distributed further to the east than previously reported, namely around the highest post-glacial limit of the sea level. LÄS MER

  4. 4. Vegetation history, human impact and palaeogeography of West Estonia : Pollen analytical studies of lake and bog sediments

    Detta är en avhandling från Uppsala : Societas Upsaliensis pro geologia quaternaria [Kvartärgeologiska fören.]

    Författare :Siim Veski; Uppsala universitet.; [1998]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Earth sciences; Vegetation history; human impact; palaeogeography; shoreline displacement; The Baltic Sea; the Yoldia Sea; the Ancylus Lake; the Litorina Sea; pollen analysis; macro fossil analysis; bog and lake sediments; radiocarbon dating; Holocene; Estonia; Geovetenskap; NATURAL SCIENCES Earth sciences; NATURVETENSKAP Geovetenskap; Earth Sciences with Specialization Environmental Analysis; geovetenskap med inriktning mot miljöanalys;

    Sammanfattning : The history of Holocene vegetation in western Estonia and the West Estonian Archipelago is described. Early Holocene sea level changes in the area are reconstructed, and human impact on the vegetation during the Late Holocene is discussedWest Estonia was divided into five study areas (Rummu-Maardu, Mustjärve, Velise-Kiilaspere, Tôstamaa Peninsula, and northern Saaremaa in the West Estonian Archipelago, from north to south). LÄS MER

  5. 5. Analyzing Vegetation Trends with Sensor Data from Earth Observation Satellites

    Detta är en avhandling från Department of Physical Geography and Ecosystem Science, Lund University

    Författare :Sadegh Jamali; [2014]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Change detection; Satellite sensor data; Time series analysis; Vegetation dynamics; Vegetation index;

    Sammanfattning : Abstract This thesis aims to advance the analysis of nonlinear trends in time series of vegetation data from Earth observation satellite sensors. This is accomplished by developing fast, efficient methods suitable for large volumes of data. LÄS MER