| 1. |
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Unraveling the logics of landscape
- 2014
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Samlingsverk (redaktörskap) (övrigt vetenskapligt/konstnärligt)abstract
- Despite conceptual oscillations through times, the concept of landscape remains highly subjective, whereupon unraveling its 'logics' opens up to a plurality of interpretations. Accordingly, by focusing on the interconnections present in the non-haphazard production of landscape, this publication elaborates on how the rural landscape is valued, monitored, changed, harbored, used and misused, be it through actions, representations or metaphors. This book covers a broad range of topics, with contributions from scholars from more than 30 countries.
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| 2. |
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| 3. |
- Ebitu, Larmbert, et al.
(författare)
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Citizen science for sustainable agriculture : A systematic literature review
- 2021
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Ingår i: Land use policy. - : Elsevier. - 0264-8377 .- 1873-5754. ; 103
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Forskningsöversikt (refereegranskat)abstract
- Farmers as volunteers in research could potentially provide a rich resource for exploring sustainable agricultural research questions. To discern emerging patterns in citizen science-based studies on topics with relevance for sustainable agriculture and reveal salient challenges and opportunities for conducting such studies, we conducted a literature review of 27 articles from the period 2004–2019 of 250 publications screened from Google Scholar. These articles were thematically grouped under the topics: Soil health, climate adaptation, pest/pathogen monitoring, invasive species, inputs and outputs and pollination. Participants’ characteristics, motivations, study design and project outcomes in the reviewed articles were summarized and discussed. Both observational and experimental studies were represented in the articles, while emerging trends point towards field experimentation and ‘Large-N′ trials by lay farmers. Crowdsourcing lends itself to projects where the main role of the public is local visual observations and reporting, such as in pest/pathogen monitoring. Challenges included methodological issues such as validation procedures, but above all motivation, recruitment, and retention of volunteers. Despite the importance of participatory approaches for deeper citizen involvement for sustainability transitions and for the quality of knowledge outcomes, the role of citizens was overall restricted to data collection. Several of the methodologies proposed would be difficult to implement in low-income countries, and relatively few studies pertained to agricultural concerns of the global South. To lend value to farmers' time, we recommend projects relevant to livelihoods, health issues or local farming problems, accompanied by well-structured data feedback protocols, routing study results back to farmers.
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| 4. |
- Geissinger, Andrea, et al.
(författare)
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How sustainable is the sharing economy? On the sustainability connotations of sharing economy platforms
- 2019
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Ingår i: Journal of Cleaner Production. - : Elsevier. - 0959-6526 .- 1879-1786. ; 206, s. 419-429
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Tidskriftsartikel (refereegranskat)abstract
- The sharing economy has evolved and spread to various sectors of the economy. Its early idea linked to the creation of more sustainable uses of resources. Since then, the development of the sharing economy has included a professionalization with self-employed suppliers rather than peers, and the question is whether the platforms following this development maintain the focus on sustainability. This paper describes and classifies the sustainability connotation of sharing economy platforms. It analyses 121 platforms derived through social media analytics to figure out whether they describe themselves as sustainable. The findings suggest that the sustainability connotation closely connects to specific sectors such as fashion, on-demand services and logistics. Meanwhile, the dominant role model platforms do not communicate about being sustainable. These findings contribute to previous research through (1) giving a systematic empirical account on the way various sharing economy platforms describe themselves in terms of sustainability, (2) pointing out the differences among the platforms, and (3) indicating the diversity in sustainability connotation among various sectors of the economy.
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| 5. |
- Omer, Talha, et al.
(författare)
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Optimization of Monitoring Network to the Rainfall Distribution by Using Stochastic Search Algorithms : Lesson from Pakistan
- 2022
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Ingår i: Tellus. Series A, Dynamic meteorology and oceanography. - : Stockholm University Press. - 0280-6495 .- 1600-0870. ; 74:1, s. 333-345
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Tidskriftsartikel (refereegranskat)abstract
- Agricultural production is greatly influenced by environmental parameters such as temperature, rainfall, humidity, and wind speed. The accurate information about environmental parameters plays a vital and useful role when making policies for the agriculture sector as well as for other sectors. Pakistan meteorological department observed these environmental parameters at more than 90 stations. The allocation of these monitoring stations is not made systematically correct. This leads to inaccurate predictions for unobserved locations. The study aims to propose a monitoring network by which these prediction errors of the environmental parameters can be minimized. The well-known prediction techniques named, model-based ordinary kriging and model-based universal kriging (UK) with the known Matheron variogram model are used for prediction purposes. We investigate the monitoring network of Pakistan for rainfall and focus on both the optimal deletion/addition of monitoring stations from/to this network. The two stochastic search algorithms, spatial simulated annealing, and genetic algorithm are used for optimization purposes. Furthermore, the minimization of the Average Kriging Variance (AKV) is taken as the interpolation accuracy measure. The spatial simulated annealing exhibits a lower AKV as compared to the Genetic algorithm when adding/removing the optimal/redundant locations from the monitoring network.
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| 6. |
- Kasimir, Åsa, 1956, et al.
(författare)
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Land use of drained peatlands : Greenhouse gas fluxes, plant production, and economics
- 2018
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Ingår i: Global Change Biology. - : John Wiley & Sons. - 1354-1013 .- 1365-2486. ; 24:8, s. 3302-3316
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Tidskriftsartikel (refereegranskat)abstract
- Drained peatlands are hotspots for greenhouse gas (GHG) emissions, which could be mitigated by rewetting and land use change. We performed an ecological/economic analysis of rewetting drained fertile peatlands in a hemiboreal climate using different land use strategies over 80 years. Vegetation, soil processes, and total GHG emissions were modeled using the CoupModel for four scenarios: (1) business as usual—Norway spruce with average soil water table of −40 cm; (2) willow with groundwater at −20 cm; (3) reed canary grass with groundwater at −10 cm; and (4) a fully rewetted peatland. The predictions were based on previous model calibrations with several high-resolution datasets consisting of water, heat, carbon, and nitrogen cycling. Spruce growth was calibrated by tree-ring data that extended the time period covered. The GHG balance of four scenarios, including vegetation and soil, were 4.7, 7.1, 9.1, and 6.2 Mg CO2eq ha−1 year−1, respectively. The total soil emissions (including litter and peat respiration CO2 + N2O + CH4) were 33.1, 19.3, 15.3, and 11.0 Mg CO2eq ha−1 year−1, respectively, of which the peat loss contributed 35%, 24%, and 7% of the soil emissions for the three drained scenarios, respectively. No peat was lost for the wet peatland. It was also found that draining increases vegetation growth, but not as drastically as peat respiration does. The cost–benefit analysis (CBA) is sensitive to time frame, discount rate, and carbon price. Our results indicate that the net benefit was greater with a somewhat higher soil water table and when the peatland was vegetated with willow and reed canary grass (Scenarios 2 and 3). We conclude that saving peat and avoiding methane release using fairly wet conditions can significantly reduce GHG emissions, and that this strategy should be considered for land use planning and policy-making.
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| 7. |
- Warneryd, Martin, et al.
(författare)
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Microgrid communities: disclosing the path to future system-active communities
- 2022
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Ingår i: Sustainable Futures. - Göterborg : IVL Svenska Miljöinstitutet AB. - 2666-1888. ; 4, s. 100079-100079
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Tidskriftsartikel (refereegranskat)abstract
- To increase sustainability in future energy systems, both technical and social measures must be taken. Microgrid communities offer local balancing of supply and demand, while also integrating the community as an active part of the energy system. This study investigates two cases of microgrid communities; how they were realized and what wider effects they offered its communities and other stakeholders. The study shows that the microgrid collaboration between community and utility offers a new organizational division that can overcome the traditional locked-in position of the utility. This brings forward communities as system-active participants and a sustainably beneficial energy system for the future.
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| 8. |
- Flyckt, Jonatan, et al.
(författare)
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Detecting ditches using supervised learning on high-resolution digital elevation models
- 2022
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Ingår i: Expert systems with applications. - : Elsevier Ltd. - 0957-4174 .- 1873-6793. ; 201
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Tidskriftsartikel (refereegranskat)abstract
- Drained wetlands can constitute a large source of greenhouse gas emissions, but the drainage networks in these wetlands are largely unmapped, and better maps are needed to aid in forest production and to better understand the climate consequences. We develop a method for detecting ditches in high resolution digital elevation models derived from LiDAR scans. Thresholding methods using digital terrain indices can be used to detect ditches. However, a single threshold generally does not capture the variability in the landscape, and generates many false positives and negatives. We hypothesise that, by combining the digital terrain indices using supervised learning, we can improve ditch detection at a landscape-scale. In addition to digital terrain indices, additional features are generated by transforming the data to include neighbouring cells for better ditch predictions. A Random Forests classifier is used to locate the ditches, and its probability output is processed to remove noise, and binarised to produce the final ditch prediction. The confidence interval for the Cohen's Kappa index ranges [0.655, 0.781] between the evaluation plots with a confidence level of 95%. The study demonstrates that combining information from a suite of digital terrain indices using machine learning provides an effective technique for automatic ditch detection at a landscape-scale, aiding in both practical forest management and in combatting climate change. © 2022 The Authors
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| 9. |
- Al-Saqaf, Walid, 1973-, et al.
(författare)
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How Do Social Media Users Link Different Types of Extreme Events to Climate Change? : A Study of Twitter During 2008–2017
- 2019
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Ingår i: Journal of Extreme Events. - Singapore : World Scientific. - 2345-7376 .- 2382-6339. ; 06:02
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Tidskriftsartikel (refereegranskat)abstract
- This study examines how three types of extreme events (heat waves, droughts, floods) are mentioned together with climate change on social media. English-language Twitter use during 2008–2017 is analyzed, based on 1,127,996 tweets (including retweets). Frequencies and spikes of activity are compared and theoretically interpreted as reflecting complex relations between the extreme event factor (the occurrence of an extreme event); the media ecology factor (climate-change oriented statements/actions in the overall media landscape) and the digital action factor (activities on Twitter). Flooding was found to be by far the most tweeted of the three in connection to climate change, followed by droughts and heat waves. It also led when comparing spikes of activity. The dominance of floods is highly prevalent from 2014 onwards, triggered by flooding events (extreme event factor), the climate science controversy in US politics (media ecology factor) and the viral power of celebrities’ tweets (digital action factor).
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| 10. |
- Elias, Marcelo, et al.
(författare)
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Shedding Light on the Brazilian Amazon Biotrade : A Study on Sustainable Development in Native Communities
- 2022
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Ingår i: Sustainability. - : MDPI. - 2071-1050. ; 14:19
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Tidskriftsartikel (refereegranskat)abstract
- The Amazon is a biodiversity hotspot. Around 90% of its territory is inhabited by native communities, who spontaneously organize themselves into groups of extractivists and small producers, relying on biodiversity as their primary means of sustenance. This paper aims to discuss how the biotrade of Amazonian biodiversity goods affects native communities with respect to environmental, social, and economic sustainability. Based on a sample of 178 native extractivists in four communities, we concluded that biotrade enabled native communities to market their products by adapting to existing conditions, considering the difficulties and the expectations of traditional residents, and contributed to the three dimensions of sustainable development.
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