Sökning: "ecosystem modelling"

Visar resultat 1 - 5 av 80 avhandlingar innehållade orden ecosystem modelling.

  1. 1. The Role of Carbon-Nitrogen Interactions for Terrestrial Ecosystem Dynamics under Global Change - a modelling perspective

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

    Författare :David Wårlind; Lund University.; Lunds universitet.; Lund University.; Lunds universitet.; Lund University.; Lunds universitet.; [2013]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; C-N Interactions; Ecosystem Modelling; DGVM; Nitrogen; Carbon; Climate Change;

    Sammanfattning : The nature of future climate change will depend on anthropogenic emissions of CO2, as well as climate- and CO2-mediated feedbacks through carbon (C) cycling in both terrestrial ecosystems and oceans. Terrestrial ecosystems remove presently about 25% of the anthropogenic CO2 fossil-fuel and land-use change emissions, but to attribute which mechanisms cause this uptake, and the key regions where it occurs, is a challenging task. LÄS MER

  2. 2. Linking distributed hydrological processes with ecosystem vegetation dynamics and carbon cycling: Modelling studies in a subarctic catchment of northern Sweden

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

    Författare :Jing Tang; Lund University.; Lunds universitet.; Lund University.; Lunds universitet.; [2014]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Carbon cycling; Water cycling; Hydrological modelling; Ecosystem modelling; Subarctic ecosystems; Climate change;

    Sammanfattning : The Arctic and Subarctic regions are of particular importance to the global climate change and are now experiencing a climate warming that is higher than the global average. Around 50% of the global soil carbon is stored in high latitude soils, especially in permafrost and peatland soils. LÄS MER

  3. 3. Ecosystems in the Anthropocene: the role of cropland management for carbon and nitrogen cycle processes

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

    Författare :Stefan Olin; Lund University.; Lunds universitet.; Lund University.; Lunds universitet.; Lund University.; Lunds universitet.; [2015]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Carbon; Nitrogen; DVM; Ecosystem modelling; Cropland; Management; Yields;

    Sammanfattning : Through deforestation and conversion of natural ecosystems to croplands and pastures, have humans released vast amounts of carbon (C) dioxide (CO2) into the atmosphere. Roughly one third of the cumulative anthropogenic emissions until today stem from these practices, the remainder being mostly due to fossil fuel combustion. LÄS MER

  4. 4. Modelling Evolution From non-life, to life, to a variety of life

    Detta är en avhandling från Uppsala : Department of Mathematics

    Författare :Yu Liu; Uppsala universitet.; [2018]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Mathematical biology; Biocomplexity; Artificial chemistry; Ecosystem evolution; Origin of life; Self-replication; Prebiotic evolution; Collectively-catalytic; Golden ratio; Tillämpad matematik och statistik; Applied Mathematics and Statistics;

    Sammanfattning : Life is able to replicate itself, e.g., a microorganism is able to divide into two identical ones, and a single plant is able to forest a whole island. LÄS MER

  5. 5. Satistical Modelling Of CO2 Exchange Between Land And Atmosphere : Using Stochastic Optimisation And Gaussian Markov Random Fields

    Detta är en avhandling från Mathematical Statistics, Centre for Mathematical Sciences, Lund University

    Författare :Unn Dahlén; Lund University.; Lunds universitet.; Lund University.; Lund University.; Lunds universitet.; Lund University.; Lunds universitet.; [2019-08-27]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Gaussiska Markovfält; Stokastisk optimering; CO2-flöden; Spatial statistik; Stochastic Optimisation; Gaussian Markov Random Fields; Atmospheric inverse modelling; Spatial statistics; Computational statistics;

    Sammanfattning : This thesis focuses on the development and application of efficient mathematicaltools for estimating and modelling the exchange of carbon dioxide (CO2) between the Earth and its atmosphere; here referred to as the global CO2 surface flux.There are two main approaches for estimating the CO2 flux: Processed based(bottom-up) modelling and atmospheric inversion (top-down) modelling. LÄS MER