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Uppdragsutbildning. Start HT 2026 Är du redo att vidareutveckla din karriär som fysioterapeut inom primärvården? I den här kursen får du möjlighet stärka din kliniska kompetens inför framtidens primärvård. I omställningen till God och nära vård får primärvården ett allt större ansvar. Fysioterapeuter är ofta första instans för patienter med besvär från rörelseapparaten vilket ställer höga krav på
Välkommen att anmäla dig till avtackningen av professor Knut Deppert.När: Onsdagen den 27 maj kl. 15.15 i k‑rummet på avdelningen för fasta tillståndets fysik, Fysicum. Vid fint väder är vi utomhus i anslutning till lokalen.Anmälningstiden har gått ut. Var god kontakta Charlotte Landin om du har frågor om avtackningen eller vill delta.charlotte [dot] landin [at] fysik [dot] lu [dot] se (Skicka e-p
https://www.fysik.lu.se/formular/avtackning-av-knut-deppert - 2026-07-01
Lärare Kontaktinformation E-post: aurimas [dot] pumputis [at] ses [dot] lu [dot] seOrganisation Institutionen för tjänstevetenskap WebbplatsAurimas Pumputis profil i Lunds universitets forskningsportal Publikationer Visar av publikationer. Sorterade efter år och sen titel. Filtrera efter typ AllaArtikel i vetenskaplig tidskriftDoktorsavhandling (sammanläggning)Kapitel samlingsverkKonferensabstract
https://www.ses.lu.se/aurimas-pumputis - 2026-07-01
Mot kvalitetssäkring av vetenskapliga lösningar på osäkra miljöproblem (2014-2018) Lösningar till miljöproblem är inte lätta att finna. Beslutsfattare efterfrågar vetenskapliga belägg (evidens) på varför vissa åtgärder är bättre än andra. Kunskap om naturliga system är begränsad, och kommer så vara även när man behöver fatta komplicerade och svåra beslut. Ett sätt är att visa på vilket sätt svaghe
https://www.cec.lu.se/sv/forskning/avslutade-forskningsprojekt/scaling-uncertain-environmental-evidence - 2026-07-01
Over the past half-century, drastically increased chemical fertilizers have entered agricultural ecosystems to promote crop production on the Yangtze Plain, potentially enhancing agricultural nutrient sources for eutrophication in freshwater ecosystems. However, long-term trends of nitrogen dynamics in terrestrial ecosystems and their impacts on eutrophication changes in this region remain poorly
Cover crops (CCs) can improve soil nutrient retention and crop production while providing climate change mitigation co-benefits. However, quantifying these ecosystem services across global agricultural lands remains inadequate. Here, we assess how the use of herbaceous CCs with and without biological nitrogen (N) fixation affects agricultural soil carbon stocks, N leaching, and crop yields, using
Crop yield improvement during the last decades has relied on increasing the ratio of the economic organ to the total aboveground biomass, known as the harvest index (HI). In most crop models, HI is set as a parameter; this empirical approach does not consider that HI not only depends on plant genotype, but is also affected by the environment. An alternative is to simulate allocation mechanisticall
Using biomass for charcoal production in sub-Saharan Africa (SSA) may change carbon stock dynamics and lead to irreversible changes in the carbon balance, yet we have little understanding of whether these dynamics vary by biome in this region. Currently, charcoal production contributes up to 7% of yearly deforestation in tropical regions, with carbon emissions corresponding to 71.2 million tonnes
Homeowners are facing worse personal finances with high inflation and increasing interest rates. New groups are at risk of overindebtedness and foreclosure. The entire household, including children, are affected by worse health and well-being. This leads to large societal costs. Hence, it is imperative to break the negative cycle of overindebtedness for these households. Foreclosure is enforced by
The importance of phosphorus (P) in regulating ecosystem responses to climate change has fostered P-cycle implementation in land surface models, but their CO2 effects predictions have not been evaluated against measurements. Here, we perform a data-driven model evaluation where simulations of eight widely used P-enabled models were confronted with observations from a long-term free-air CO2 enrichm
Remote sensing observations and artificial intelligence algorithms have emerged as key components for crop yield estimation at various scales during the past decades. However, the utilization of multi-source satellite data and machine learning for estimating aggregated crop yield at the regional level in Europe has been only scarcely explored. Our study aims to bridge this research gap by focusing
Monitoring crop growth and estimating crop yield are essential for managing agricultural production, ensuring food security, and maintaining sustainable agricultural development. Combining the mechanistic framework of a crop growth model with remote sensing observations can provide a means of generating realistic and spatially detailed crop growth information that can facilitate accurate crop yiel
Crop models are often used to project future crop yield under climate and global change and typically show a broad range of outcomes. To understand differences in modeled responses, we analyzed modeled crop yield response types using impact response surfaces along four drivers of crop yield: carbon dioxide (C), temperature (T), water (W), and nitrogen (N). Crop yield response types help to underst
Given the negative consequences of bullying, it is important to identify teacherapproaches and to what degree students trust that their teachers can manage the class. Thus, this experimental study examined whether students’ trust in their teacher’s ability to manage the class would be positively associated with defending victims and negatively associated with pro-bullying and passive bystanding. 2
Land cover governs the biogeophysical and biogeochemical feedbacks between the land surface and atmosphere. Holocene vegetation-atmosphere interactions are of particular interest, both to understand the climate effects of intensifying human land use and as a possible explanation for the Holocene temperature conundrum, a widely studied mismatch between simulated and reconstructed temperatures. Prog
Nitrous oxide (N2O) is the most important stratospheric ozone-depleting agent based on current emissions and the third largest contributor to increased net radiative forcing. Increases in atmospheric N2O have been attributed primarily to enhanced soil N2O emissions. Critically, contributions from soils in the Northern High Latitudes (NHL, >50°N) remain poorly quantified despite their exposure to r
Droughts have intensified under climate change, threatening ecosystem stability. While rising atmospheric CO2 concentrations may enhance vegetation drought resistance, the net effect remains uncertain amid concurrent warming. Here we combine ecological modeling with multi-source observations to investigate how CO2 and warming jointly regulate vegetation drought responses on the Qinghai-Tibetan Pla
Wildfires pose hazards for humans through fire proximity and smoke exposure, and are expected to pose increasing risks due to climate change. Existing literature has not extensively inquired how wildfires affect short-term mobility as an adaptive response to these events. We use digital trace mobility data from the Spanish Ministry of Transportation to examine how proximity to wildfires and conseq
Reconstructions and simulations disagree on whether the Holocene exhibited a long-term cooling or warming signal. Anthropogenic land-use could be an important forcing regionally, but available population-based estimates differ widely. We examine transient Holocene climate model simulations forced with three population-based disturbed-land reconstructions and compare this with a fourth scenario der
Carbon moves through the atmosphere, through the oceans, onto land, and into ecosystems. This cycling has a large effect on climate – changing geographic patterns of rainfall and the frequency of extreme weather – and is altered as the use of fossil fuels adds carbon to the cycle. The dynamics of this global carbon cycling are largely predicted over broad spatial scales and long periods of time by
