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Rain-on-snow (ROS) events are becoming an increasingly common feature of the wintertime climate Svalbard in the High Arctic due to a warming climate. Changes in the frequency, intensity, and spatial distribution of wintertime ROS events in Svalbard are important to understand and quantify due their wide-ranging impacts on the physical environment as well as on human activity. Due to the sparse nature of ground observations across Svalbard, tools for mapping and long-term monitoring of ROS events over large spatial areas are reliant on remote sensing, snow models and atmospheric reanalyses. However, different methods of identifying and measuring ROS events can often present different interpretations of ROS climatology. This study compares a recently published Synthetic Aperture Radar (SAR) based ROS dataset for Svalbard to ROS derived from two snow models and a reanalysis dataset for 2004–2020. Although the number of ROS events differs across the datasets, all datasets exhibit both similarities and differences in the geographical distribution of ROS across the largest island, Spitsbergen. Southern and western coastal areas experience ROS most frequently during the wintertime, with the early winter (November–December) experiencing overall most events compared to the spring (March–April). Moreover, we find that different temperature thresholds are required to obtain the best spatial agreement of ROS events in the model and reanalysis datasets with ground observations. The reanalysis dataset evaluated against ground observations was superior to the other datasets in terms of accuracy due to the assimilation of ground observations into the dataset. The SAR dataset consistently scored lowest in terms of its overall accuracy due to many more false detections, an issue which is most likely explained by the persistence of moisture in the snowpack following the end of a ROS event. Our study not only highlights some spatial differences in ROS frequency and trends but also how comparisons between different datasets can confirm knowledge about the climatic variations across Svalbard where in-situ observations are sparse.

Three-dimensional (3D) mapping and unmanned aerial vehicles (UAVs) are essential components of the future development of forestry technology. Regeneration of forest stands must be ensured according to the law in the required quality and species composition. Forest management focuses on the optimization of economic costs and quality-assured seedlings. Predicting the suitability of the plots’ environment for natural forest regeneration can contribute to better strategic planning and save time and money by reducing manual work. Although the savings may be considered negligible on small forested plots, they are significant for large cleared areas, such as those harvested after large beetle infestations or strong windstorms, which are increasingly common in European forests. We present a methodology based on spatial analysis and 3D mapping to study the microrelief and surrounding of recently cleared areas. We collected data on four plots in the spring and autumn of a single year after the harvest of four Norway spruce [Picea abies (L.) Karst.] stands near Radlice, Czechia using a multirotor Phantom 4 Pro UAV with a red, green, blue (RGB) camera. We used RGB imagery to compute microrelief data at a very high spatial resolution and the surrounding forest stands after harvesting. We used the microrelief data to estimate the amount of water accumulation and incoming solar radiation across the sites. Based on presence data of newly-established seedlings, we used linear mixed effects models to create a suitability map for each site. Model variables included topographic wetness index, solar area radiation, fencing, type of soil preparation, and distance to the nearest mature forest edge. The topographic wetness index and fencing had strong positive influence on seedling establishment, while solar radiation had a negative influence. Our proposed methodology could be used to predict spontaneous regeneration on cleared harvest areas, or it can estimate how much area is suitable for regeneration, which can lead to important investment decisions.

The Arctic region is warming at over twice the mean rate of the Northern Hemisphere and nearly four times faster than the globe since 1979. The local rate of warming is even higher in the European archipelago of Svalbard. This warming is transforming the terrestrial snow cover, which modulates surface energy exchanges with the atmosphere, accounts for most of the runoff in Arctic catchments and is also a transient reservoir of atmospherically deposited compounds, including pollutants. Improved observations, understanding and modelling of changes in Arctic snow cover are needed to anticipate the effects these changes will have on the Arctic climate, atmosphere, terrestrial ecosystems and socioeconomic factors. Svalbard has been an international hub of polar research for many decades and benefits from a well-developed science infrastructure. Here, we present an agenda for the future of snow research in Svalbard, jointly developed by a multidisciplinary community of experts. We review recent trends in snow research, identify key knowledge gaps, prioritize future research efforts and recommend supportive actions to advance our knowledge of present and future snow conditions pertaining to glacier mass balance, permafrost, surface hydrology, terrestrial ecology, the cycling and fate of atmospheric contaminants, and remote sensing of snow cover. This perspective piece addresses issues relevant to the circumpolar North and could be used as a template for other national or international Arctic research plans.

Södra Gotland (Storsudret) är ett av de mest utsatta områdena i Sverige när det kommer till torka under somrarna. Trots stora mängder nederbörd har jordbrukare problem med bevattning då öns geologi påverkar lagringen av vatten i form av grundvatten negativt. Vilket beror på att berggrunden består främst av kalk, märgel och märgelsten. Dålig tillgång till vatten kombinerat med långa och varma somrar har medfört att skörden minskat markant under de senaste åren. Bevattningstekniker som används i dagsläget är inte bra på att utnyttja vatten på ett hållbart och effektivt sätt. Dessutom har kostnaderna ökat för många jordbrukare på Gotland med avseende på de ökande elpriserna. Bevattning kräver el och vissa bönder har exempelvis inte tillgång till el vid sina åkrar och måste därmed dra el vilket ökar kostnaderna markant. Behovet av mer resurseffektiva och hållbara bevattningstekniker är stort och något som behöver undersökas mer djupgående. Syftet med denna studie var att undersöka ifall ett automatiserat bevattningssystem som drivs av solenergi faktiskt är möjligt att implementera. Detta utifrån olika kriterier såsom kostnad, energianvändning, skördemängd, klimatpåverkan och vattenanvändning. Därefter jämföra mot ett mer konventionellt system som används i dagsläget och därmed undersöka vilka skillnader det finns. Det var två system som valdes i studien. System 1 var ett potentiellt automatiserad rampbevattningssystem och system 2 ett konventionellt rampbevattningssystem. Båda systemen sattes in i verklighetsbaserade scenario (en åker i södra Gotland) för att få en mer realistisk överblick. Därefter användes en multikriterieanalys för att jämföra båda systemen mot varandra utifrån valda kriterier. Sist av allt användes en SWOT-analys för att sammanknyta all resultat som togs fram i studien. Resultatet visade att det är i teorin möjligt att bygga ett helt automatiserat bevattningssystem som drivs av solenergi och att det finns både positiva och negativa delar med systemet jämfört mot en konventionell rambevattning. Det potentiella systemet har exempelvis både en högre kostnad som 1,1 gånger högre, samt en högre energianvändning per hektar, cirka 5 gånger högre jämfört med ett konventionellt system. Dock presterade det potentiella systemet bättre jämfört mot ett konventionellt system med avseende på klimatpåverkan som var 10 gånger lägre jämfört med ett konventionellt system. SWOT sammanställningen visade också att intresset för automatiserade bevattningssystem är låg bland jordbrukare delvis på grund av att systemen inte är anpassade till svenska förhållanden, samt den höga investeringskostnaden. Därav krävs det att fler aktörer blir involveras och kunskapen sprids för att öka etableringen av automatiserade bevattningssystem på södra Gotland (Storsudret) samt resten av Sverige. The southern part of Gotland (Storsudret) is one of the most exposed areas in Sweden when it comes to drought during the summers. Despite large amounts of rainfall, farmers have problems with irrigation as the island’s geology negatively affects the storage of water in the form of groundwater. Poor access to water combined with long and hot summers has meant that the harvest has decreased significantly in recent years. Irrigation techniques used today are not good at using water sustainably and efficiently. In addition, costs have increased for many farmers in Gotland concerning the increasing electricity prices. Irrigation requires electricity and some farmers, for example, do not have access to electricity in their fields and thus have to get electricity, which increases costs significantly. The need for more resource-efficient and sustainable irrigation techniques is great and something that needs to be investigated in more depth. The purpose of this study was to investigate whether an automated irrigation system powered by solar energy is realistically possible to implement. This was based on various criteria such as cost, energy requirements, yield, etc., and then compare against a more conventional system that is currently used and thus examines what differences there are. Two systems were chosen in the study. System one was a potentially automated irrigation system and system two was a conventional ramp irrigation system. Both systems were put into a reality-based scenarios (a field in southern Gotland) to get a more realistic overview. Multi-criteria analysis was then used to compare both systems against each other based on selected criterias. Afterward, a SWOT analysis was also carried out to summarize all the results that were produced in the study. The result showed that it is theoretically possible to build a fully automated irrigation system powered by solar energy and that there are both positive and negative parts to the system com- pared to conventional ramp irrigation. The potential system has, for example, both a higher cost which was 1.1 times higher, and a higher energy requirement per hectare which was 5 times higher compared to a conventional system. However, the potential system performed better compared to a conventional system concerning climate impact which was 10 times lower compared to a conven- tional system. The SWOT summarize also showed that interest in automated irrigation systems was low among farmers partly due to the systems not being adapted to Swedish conditions and the large investment cost. Thus it is necessary that more actors be involved and the knowledge spread to increase the establishment of automated irrigation systems in southern Gotland (Storsudret) and in the rest of Sweden. 

Freshwater lakes and reservoirs cover a small fraction of the Earth, however their emission of the greenhouse gas methane (CH4) from the sediment to the atmosphere is disproportionately high. Currently, there is still a limited understanding of the links between sediment characteristics and CH4 formation. Earlier studies have indicated that sediment age and nitrogen content are related to sediment CH4 formation rates, but it is uncertain such relationships are valid across gradients of sediment characteristics. We therefore measured potential CH4 formation rates in multiple layers of sediment sampled from nine lakes situated in the temperate, boreal and alpine biogeographic regions of Sweden, thus differing in productivity, catchment and climate properties. Potential CH4 formation varied over 3 orders of magnitude, and was broadly related to the quantity and reactivity of organic matter, and generally decreased with sediment depth. Sediment age and total nitrogen content were found to be the key controlling factors of potential CH4 formation rates, together explaining 62% of its variability. Moreover, the model developed from the Swedish lake sediment data was able to successfully predict the potential CH4 formation rates in reservoirs situated in different biogeographic regions of Brazil (R2 = 0.62). Therefore, potential CH4 formation rates in sediments of highly contrasting lakes and reservoirs, from Amazonia to alpine tundra, could be accurately predicted using one common model (RMSE = 1.6 in ln-units). Our model provides a valuable tool to improve estimates of CH4 emission from lakes and reservoirs, and illustrates the fundamental regulation of microbial CH4 formation by organic matter characteristics. Lakes and reservoirs are important emitters of methane, a strong greenhouse gas, to the atmosphere. Methane is produced in absence of oxygen by specific microbes that degrade the organic matter in the sediment. Currently, it is still uncertain which specific sediment properties control the production of methane, and if such properties are the same across lakes and reservoirs located in different ecosystem. To test this, we collected sediment cores from several lakes across different ecosystems in Sweden, and we measured potential methane formation rates. Methane formation rates varied greatly among lakes and was related to the quality and quantity of organic matter in the sediment. From this experiment, we calculated an empirical model that can predict methane formation rates as a function of sediment age and nitrogen content. Moreover, we found that our model could well predict potential methane formation rates in tropical reservoirs. In conclusion, sediment age and nitrogen content are universal controlling factors of methane formation rates across lakes and reservoirs in different ecosystems, from tropics to arctic tundra. Our findings provide a valuable tool to improve estimates of methane emission from lakes and reservoirs and illustrates how sediment characteristics play a crucial role in regulating methane formation rates.

This thesis explores how the Worldwide Opportunities on Organic Farms (WWOOF) network may constitute a form of sustainable tourism on the Baltic Island of Gotland, Sweden. To do this, I narrate my own personal journey as a WWOOF volunteer trying to find my way as an organic farmer, in an autoethnographic account of my experience at Tjeldervik Gård during the spring and summer of 2023. In the account, I make observations concerning economic, environmental, and social/cultural sustainability, focusing especially on my interpretations. In this way, I hope to shed more light on WWOOF from the perspective of sustainable tourism studies, and to contribute by sharing one of few first-hand accounts as a WWOOF volunteer reflecting on more established knowledge. 2.14.0.0 2.14.0.0

Previous research indicates that improving digital government services may contribute to the reduction of corruption. This study seeks to deepen the knowledge of this suggested causal link in several ways. Firstly, it adds nuance by examining the effects of two distinct sub-types of digital government services on specifically petty corruption. Secondly, it explores whether impacts vary by corruption systemicity level, which has previously been argued to to affect the effectiveness of certain anti-corruption measures. Using a theoretical framework built on economics of crime theory, I posit that the anti-petty corruption impact of digital government services varies between different service sub-types and between more and less systemically corrupt states. Analyzing hitherto unused global cross-country data for the year 2013, using mainly OLS-models, it is found that informational digital government services constitute effective anti-corruption measures in all settings. Transactional digital government services, on the other hand, are not found to have the same uniform reductive impact in all settings explored.

This thesis investigates the semantic values of the two concepts “smallholding” (Swe. “småbruk”) and “smallholder farmer” (Swe. “småbrukare”), as well their role and function as central concepts in the public debate about the “agricultural rationalisation” (Swe. “jordbrukets rationalisering”) reform initiated by the Swedish government together with industry actors in the late 1940s. Studying articles in the newspapers published by two Swedish farmers’ associations, as well as government documents and political pamphlets, I employ the concept of “temporalisation” developed by Reinhart Koselleck as part of his theory on conceptual history in order to identify implicit and biased expectations on “modernity” ruling against smallholding as a viable form of farming in the future. I also study how rationalisation advocates’ descriptions and opinions are contested in the writings of smallholder activists and practicians. I argue that the meanings and associations attributed to smallholding and its modus operandi in the late 1940s, strongly influenced by the “agricultural rationalisation” debate of the time, disqualified it from any modernising project on grounds that were oftentimes ideological rather than rational or factual. I further argue that a misunderstanding of the modus operandi and purpose of smallholder farming, prompted by the application of industrial concepts and ideals as well as undue comparisons with other trades and professions, exaggerated the poor socio-economic status of smallholder families. This resulted in a temporalisation of the “agricultural rationalisation” debate, depicting large-scale industrial agriculture as a thing of the future and smallholding as a thing of the past.

Vombsjön är en av de viktigaste dricksvattentäkterna i södra Skåne som förser bland annat Malmö och delar av Lund med dricksvatten. Sjön lider av övergödning och återkommande algblomningar som komplicerar dricksvattenproduktionen. Fosfor från sjöns bottensediment (intern belastning) och fosfor från det jordbruksdominerade avrinningsområdet (extern belastning) behöver kartläggas för att råda bukt på övergödningsproblematiken i sjön och trygga produktionen av ett säkert dricksvatten. Inom ramen för detta examensarbete har den externa fosforbelastningen kartlagts genom modellering av Vombsjöns avrinningsområde med den hydrologiska modellen Soil and Water Assessment Tool (SWAT+). Resultaten från modelleringen visar att det nära 45 000 ha stora avrinningsområdet i genomsnitt tillför 25 ton totalfosfor per år via de tre huvudvattendragen som mynnar ut i Vombsjön. Medelvärdet är beräknat på simuleringar gjorda för åren 2011 – 2022 och belastningen varierar mellan 14–37 ton totalfosfor för de undersökta åren. 79 % av totalfosforn tillförs sjön via det största vattendraget Björkaån, 11 % via Torpsbäcken och 10 % via Borstbäcken. Den månatliga vattenföringen har manuellt kalibrerats och validerats mot en mätpunkt i avrinningsområdet. Miljöövervakning från ett jordbruksdominerat typområde i samma läckageregion som Vombsjöns avrinningsområde till största del ligger inom användes för att jämföra storleksordningen på den arealspecifika fosfortransporten. De arealspecifika månads- och årstransporterna låg inom samma storleksordning men variationerna mellan de två områdena var stora somliga år och månader. Den hydrologiska modellen behöver vidareutvecklas för att bättre simulera vattenföringen under höst och vinter, när vattenföringen generellt är som störst. Vidare behöver modellen kalibreras och valideras mot fler vattenföringsstationer och uppmätta fosforhalter i avrinningsområdet för att avgöra hur väl modellen simulerar fosfortransporten. Vombsjön is one of the most important drinking water sources in southern Skåne, supplying drinking water to Malmö and parts of Lund. The lake suffers from eutrophication and reoccurring algal blooms which are complicating the drinking water production. Phosphorus leaching from the bottom sediment of the lake (internal load) and phosphorus coming from the agriculture- dominated catchment (external load) needs to be investigated to address the eutrophication issues and ensure a safe drinking water production. As part of this thesis, the external phosphorus load has been investigated through hydrological modeling of the catchment area, using Soil and Water Assessment Tool (SWAT+). The modeling results show that the approximately 45 000 hektar big catchment area contributes to an average of 25 tons of total phosphorus per year via the three main watercourses that flows into Vombsjön. The average load is based on simulations between 2011 and 2022, and the load varies between 14–37 tons of total phosphorus for the examined years. 79 % of the total phosphorus load is supplied to the lake via the largest watercourse, Björkaån, 11 % via Torpsbäcken and 10 % via Borstbäcken. The monthly water flow has been manually calibrated and validated against flow measurements at one point in the catchment area. Environmental monitoring data from an agriculture- dominated catchment area, located in the same leakage region as most of the Vombsjöns catchment area, was used to compare the magnitude of the area-specific phosphorus transport. The area-specific monthly and annual transports of total phosphorus were within the same order of magnitude, but there were significant variations between some years and months. The hydrological model needs further development to better simulate water flow during autumn and winter, when the flow is generally highest. Furthermore, the model needs to be calibrated and validated against more flow stations and measured phosphorus concentrations within the catchment area to determine how well the model simulates phosphorus transport.

The recent Industry 4.0 trend, followed by the technological advancement of collaborative robots, has urged many industries to shift towards new types of assembly lines with human-robot collaboration (HRC). This type of manufacturing line, in which human skill is supported by robot agility, demands an integrated balancing and scheduling of tasks and operators among the stations. This study attempts to deal with these joint problems in the straight and U-shaped assembly lines while considering different objectives, namely, the number of stations (Type-1), the cycle time (Type-2), and the cost of stations, operators, and robot energy consumption (Type-rw). The latter type often arises in the real world, where multiple types of humans and robots with different skills and energy levels can perform the assembly tasks collaboratively or in parallel at stations. Additionally, practical constraints, namely robot tool changes, zoning, and technological requirements, are considered in Type-rw. Accordingly, different mixed-integer linear programming (MILP) models for straight and U-shaped layouts are proposed with efficient lower and upper bounds for each objective. The computational results validate the efficiency of the proposed MILP model with bounded objectives while addressing an application case and different test problem sizes. In addition, the analysis of results shows that the U-shaped layout offers greater flexibility than the straight line, leading to more efficient solutions for JIT production, particularly in objective Type-2 followed by Type-rw and Type-1. Moreover, the U-shaped lines featuring a high HRC level can further enhance the achievement of desired objectives compared to the straight lines with no or limited HRC. CC BY 4.0 DEEDCorresponding author: Email: amir.nourmohammadi@his.seThis study was funded by the Knowledge Foundation (KKS) and Sweden’s Innovation Agency through the VF-KDO, ACCURATE 4.0, and PREFER projects.