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The boreal forest covers approximately 12 million km² and contains one-third of the terrestrial vegetation carbon, making it a vital component of the global carbon cycle. The impact of forest harvesting (e.g. clear-cuts) and forest fires on forest carbon budgets under climate change is still not well understood. This study presents results from simulations with the process-based dynamic globalvege
Diverse forest landscapes contribute to reaching various forest policy goals. Understanding how the diversity of forests in a landscape is distributed among forest properties and how it is related to biogeographical and ownership factors can be helpful for effective policy implementation. We created a forest characteristics-based typology of non-industrial private forest properties aiming to captu
Boreal forests are key to global carbon (C) sequestration and storage. However, the potential impacts of climate change on these forests could be profound. Nearly 70 % of the European boreal forests are intensively managed, but our understanding of the combined effects of forest management and climate change on the forest's integral role as a C sink is still limited. In this study, we aim to fill
The Fennoscandian boreal and mountain regions harbour a wide range of vegetation types, from boreal forest to high alpine tundra and barren soils. The area is facing a rise in air temperature above the global average and changes in temperature and precipitation patterns. This is expected to alter the Fennoscandian vegetation composition and change the conditions for areal land use such as forestry
The global water and carbon cycles are greatly influenced by terrestrial vegetation, making trustworthy representations of dynamic biosphere–hydrosphere interactions a crucial component of both ecosystem and climate models. This paper comprehensively evaluates the hydrological performance of a leading dynamic global vegetation model Lund-Potsdam-Jena General Ecosystem Simulator (LPJ-GUESS), using
Boreal forests play a crucial role in global carbon sequestration and storage, yet their vulnerability to climate change remains a significant concern. We present results from simulations with the process-based dynamic global vegetation model LPJ-GUESS of the combined effects of climate change and forest management on the carbon sink capacity of a boreal forest in southern Sweden. We compared two
Rapid deforestation has been well-documented in Colombia after the 2016 peace agreement with FARC. While many analysis using remote sensing identify land cover change, structural connectivity variables are less studied for understanding landscape transformation. In this work, we used data from the Landsat archive from 2011 to 2021, the Continuous Change Detection and Classification algorithm (CCDC
This paper analyzes incomes and income inequality in Stockholm from 1870 to 1970. The paper builds on a new dataset of 38,022 randomly sampled Stockholm residents 1870–1950, with information on income, occupation, age, gender, and household composition. This is complemented by the Census of 1930 and a Statistics Sweden sample for 1960 and 1970. Incomes were very unequally distributed between 1870
Aim: Earth observation-based estimates of land–atmosphere exchange of carbon are essential for understanding the response of the terrestrial biosphere to climatic change and other anthropogenic forcing. Temperature, soil water content and gross primary production are the main drivers of ecosystem respiration (Reco), and the main aims of this study are to develop an Reco model driven by long-term g
Mucosa-associated lymphoid tissue protein 1 (MALT1) plays a key role in adaptive immune responses by modulating specific intracellular signalling pathways that control the development and proliferation of both T and B cells. Dysfunction of these pathways is coupled to the progress of highly aggressive lymphoma as well as to potential development of an array of different immune disorders. In contraMucosa-associated lymphoid tissue protein 1 (MALT1) plays a key role in adaptive immune responses by modulating specific intracellular signalling pathways that control the development and proliferation of both T and B cells. Dysfunction of these pathways is coupled to the progress of highly aggressive lymphoma as well as to potential development of an array of different immune disorders. In contra
Trends for the atmospheric deposition of sulphur (S) and inorganic nitrogen (inorg-N) to forests and changes in the forest soil water chemistry in Sweden have been assessed since 1985, with special focus on the last 25 years, based on measurements within the Swedish Throughfall Monitoring Network (SWETHRO). The reductions in the deposition of S and inorg-N in the southern part of Sweden correspond
Newsletter issue 1 final.pdf Special focus: Methods GRADUATE SCHOOL – TEACHER & FRIENDS NEWSLETTER, AUTUMN 2016 Issue 1 – September 2016 Teacher Times Letter from the Director of Studies Graduate School: facts and figures What happened in 2015/16? (and a peek at the coming academic year) Ever heard of R, NVivo, Hadoop, PSPP, Trendalyzer? We think that we all need to know more. Read on! Content
https://www.graduateschool.sam.lu.se/sites/graduateschool.sam.lu.se/files/newsletter_issue_1_final.pdf - 2026-06-30
SASNET Activity Report 2019 SWEDISH SOUTH ASIAN STUDIES NETWORK 2 SASNET ACTIVITY REPORT 2019 3SASNET ACTIVITY REPORT 2019 Table of Contents SASNET ACTIVITY REPORT 2019 5 SEMINARS AND PUBLIC EVENTS 6 WORKSHOPS AND CONFERENCES 8 Symposium on the Indo-Pacific in Singapore 8 South Asia across the Nordic Region (SANR) 2019 8 Workshop on Challenges to Media in South Asia 9 Workshop on Afghanistan: Migr
https://www.sasnet.lu.se/sites/sasnet.lu.se/files/activity_report_2019.pdf - 2026-06-30
465 Chapter 34 Using Endogenous MicroRNA Expression Patterns to Visualize Neural Differentiation of Human Pluripotent Stem Cells Agnete Kirkeby, Malin Parmar, and Johan Jakobsson Abstract Many existing protocols for neuronal differentiation of human pluripotent cells result in heterogeneous cell populations and unsynchronized differentiation, necessitating the development of methods for labeling s
Process-based land surface models are important tools for estimating global wetland methane (CH4) emissions and projecting their behavior across space and time. So far there are no performance assessments of model responses to drivers at multiple time scales. In this study, we apply wavelet analysis to identify the dominant time scales contributing to model uncertainty in the frequency domain. We
Introduction: In this thesis, I critically examine three discourses, prevalent within the 'field' of sexual violence in migration. Methodology: Taking a poststructuralist approach, I deconstruct the beforementioned discourses in a threefold analysis. Results: I find, that the binary gender system is still dominating, and that certain ideas about 'men' and 'women', their bod
The democratic implications of environmental policy instruments, is a complex matter of theoretical and normative questions, this paper aims to explore. The purpose is to analyse how different governance tools like regulatory and market-based instruments, relate to central democratic values in environmental policymaking. Rather than treating policy instruments as neutral technical tools, the study
This study examines the relationship between critical thinking and the use of Big Data Analytics (BDA) in decision-making among white-collar professionals. It focuses on three key areas: the influence of BDA reliance on critical thinking, the connection between professional experience and cognitive reasoning, and the demands of strategic decision-making compared to tactical and operational roles.
