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Your search for "Cheap fc coins Buyfc26coins.com is official EA Sports partner for FC 26 coins The service is fast safe cheap..AWZS" yielded 67768 hits

Angelica Ericsson

Doktorand Kontaktinformation E-post: angelica [dot] ericsson [at] jur [dot] lu [dot] seOrganisation Juridiska institutionen Hämtställe: 56 WebbplatsAngelica Ericssons profil i Lunds universitets forskningsportalAndra roller Forskare EU-rätt Publikationer Visar av publikationer. Sorterade efter år och sen titel. Filtrera efter typ AllaArtikel i vetenskaplig tidskriftKapitel samlingsverkWorking pape

https://www.jur.lu.se/angelica-ericsson-0 - 2026-07-15

Andrea Iossa

Forskare Kontaktinformation E-post: andrea [dot] iossa [at] jur [dot] lu [dot] seOrganisation Norma Research Programme Hämtställe: 56 WebbplatsAndrea Iossas profil i Lunds universitets forskningsportal Publikationer Visar av publikationer. Sorterade efter år och sen titel. Filtrera efter typ AllaAnnanAntologi (redaktör)Artikel i dags- eller nyhetstidningArtikel i facktidskrift eller populärpressAr

https://www.jur.lu.se/andrea-iossa - 2026-07-15

Réka Tölg

Affiliated Researcher Contact details Email: reka [dot] tolg [at] ses [dot] lu [dot] seOrganisation Department of Service Studies WebpageRéka Tölgs profile in Lund University research portalOther affiliations Affiliated researcher Centre for Retail and Logistics (REAL) Publications Displaying of publications. Sorted by year, then title. Filter by type AllArticleDoctoral Thesis (compilation)ReportS

https://www.real.lu.se/en/reka-tolg - 2026-07-15

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The land-atmosphere exchange of methane (CH4) and carbon dioxide (CO2) in a high-Arctic wet tundra ecosystem (Rylek ae rene) in Zackenberg, north-eastern Greenland, was studied over the full growing season and until early winter in 2008 and from before snow melt until early winter in 2009. The eddy covariance technique was used to estimate CO2 fluxes and a combination of the gradient and eddy cova

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We upscaled FLUXNET observations of carbon dioxide, water, and energy fluxes to the global scale using the machine learning technique, model tree ensembles (MTE). We trained MTE to predict site-level gross primary productivity (GPP), terrestrial ecosystem respiration (TER), net ecosystem exchange (NEE), latent energy (LE), and sensible heat (H) based on remote sensing indices, climate and meteorol

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Peatlands are important carbon reserves in terrestrial ecosystems. The microtopography of a peatland area has a strong influence on its carbon balance, determining carbon fluxes at a range of spatial scales. These patterned surfaces are very sensitive to changing climatic conditions. There are open research questions concerning the stability, behaviour and transformation of these microstructures,

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Den nya AI-boomen sänker kraftigt kostnaden för att bygga mjukvara, snabbar på imitationen och intensifierar konkurrensen inom Software as a Service (SaaS), vilket pressar betalningsviljan mot noll. Denna studie ställer två frågor: (1) vilka affärsmodellsinnovationer och utmaningar kännetecknar monetarisering av gratis digitala tjänster, och (2) hur kan dessa insikter tillämpas på ScanThisWine, etThe new AI-boom dramatically lowers the cost of building software, accelerates imitation, and intensifies competition in Software as a Service (SaaS), pushing willingness to pay towards zero. This study asks two questions: (1) which business model innovations and challenges characterise the monetisation of free digital services, and (2) how can these insights apply to ScanThisWine, a free e-label

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Phosphorus (P) is a critical macronutrient for plant growth, often limiting plant production in areas where plant demand is higher than soil supply. In contrast to nitrogen (N), P cannot be sourced from the atmosphere; therefore, where it is rare, it becomes a strong constraint on primary production. Due to this, most dynamic global vegetation models (DGVMs) are incorporating a prognostic P cycle

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PURPOSE: There is uncertainty whether ER-low tumors with a 1-10% immunohistochemical staining of nuclei represent a distinct molecular biological entity of BC, posing significant challenges for their clinical management and developing novel therapies. We aimed to elucidate ER-low tumor biology.EXPERIMENTAL DESIGN: We analyzed primary tumors included in a Swedish population-based SCAN-B BC cohort,

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Land cover and land management changes (LCLMCs) have a substantial impact on the global carbon budget and, consequently, on global climate via the biogeochemical (BGC) effects. The commonly considered BGC effects refer to the direct influence of LCLMCs on local carbon stocks (local BGC effects). However, LCLMCs also influence climate by altering the local surface energy balance due to changes in l

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Advances in Earth observation capabilities mean that there is now a multitude of spatially resolved data sets available that can support the quantification of water and carbon pools and fluxes at the land surface. However, such quantification ideally requires efficient synergistic exploitation of those data, which in turn requires carbon and water land-surface models with the capability to simulta

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The European spruce bark beetle (Ips typographus) is an insect species that causes significant damage to Norway spruce (Picea abies) forests across Europe. Infestation by bark beetles can profoundly impact forest ecosystems, affecting their structure and composition and affecting the carbon cycle and biodiversity, including a decrease in net primary productivity (NPP), a key indicator of forest he

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The expansive carbon reservoirs of the boreal region are becoming some of the most rapidly growing sources of greenhouse gasses under a positive feedback between intensifying fire activity and climate change. However, current regional-scale methods lack the spatial precision needed to improve understanding of the drivers of these fluxes to inform strategies aimed at maximizing landscape carbon sto

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Peatlands store a substantial amount of carbon in the terrestrial ecosystem. They are both long-term sinks of organic carbon and a major natural source of atmospheric methane. The accumulation of carbon is a result of net primary production surpassing decomposition rates over millennia, whereas methane production is intricately linked to the anaerobic decomposition of carbon mass. Warming-induced

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Occurring in 2015/16, the strong El Niño has been shown to significantly influence the pantropical carbon fluxes with multiple lines of evidence. However, a comprehensive understanding on the regional and vegetation-specific net ecosystem productivity (NEP) in response to this El Niño event and its recovery trajectories remain unclear. We revisited the controlling factors in the recovery of pantro

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Vegetation demographic models (VDMs) are advanced tools for simulating forest responses to climate and land-use changes, and are essential for projecting carbon cycling and large-scale forest management strategies. Despite their increasing incorporation into Earth System Models, VDMs differ in their demographic assumptions, with no prior quantitative comparison of their performance. We benchmarked

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Dryland ecosystems are globally important, yet state-of-the-art dynamic vegetation models often lack specific processes or parameterizations that are critical for accurately simulating dryland dynamics. These missing processes include a realistic calculation of soil water movement, detailed plant–water relations, or a representation of deep water uptake. In this study, we show how including a proc

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Plants take up carbon dioxide (CO2) through photosynthesis. How this will change with rising CO2 concentrations in the atmosphere will strongly determine future climate change. An increase in the seasonal variations of atmospheric CO2 in recent decades indicates a positive trend in photosynthetic carbon uptake. We combined data-driven seasonal cycles of plant productivity with carbon sinks across

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Accurately predicting terrestrial ecosystem responses to climate change over long-timescales is crucial for addressing global challenges. This relies on mechanistic modeling of ecosystem processes through land surface models (LSMs). Despite their importance, LSMs face significant uncertainties due to poorly constrained parameters, especially in carbon cycle predictions. This paper reviews the prog