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- 2019
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Tidskriftsartikel (refereegranskat)
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| 2. |
- Bengtsson, Anna, et al.
(författare)
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Methods, models, and guidelines for practitioners to deliver health-promoting green space
- 2024
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Ingår i: Green and healthy Nordic cities : How to plan, design, and manage health-promoting urban green space. - 9789180010887 ; :2024:1, s. 106-133
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- This chapter summarises the main methods, models, and guidelines— hereafter named as NORD tools—included in each component of the NORD framework (NUMBERING, OBSERVING, REGULATING, DESIGNING). The chapter provides further details on how to use these tools as well as how practitioners can combine them to deliver health-promoting green spaces.
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| 3. |
- Dengler, Juergen, et al.
(författare)
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GrassPlot - a database of multi-scale plant diversity in Palaearctic grasslands
- 2018
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Ingår i: Phytocoenologia. - : Schweizerbart. - 0340-269X. ; 48:3, s. 331-347
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Tidskriftsartikel (refereegranskat)abstract
- GrassPlot is a collaborative vegetation-plot database organised by the Eurasian Dry Grassland Group (EDGG) and listed in the Global Index of Vegetation-Plot Databases (GIVD ID EU-00-003). GrassPlot collects plot records (releves) from grasslands and other open habitats of the Palaearctic biogeographic realm. It focuses on precisely delimited plots of eight standard grain sizes (0.0001; 0.001;... 1,000 m(2)) and on nested-plot series with at least four different grain sizes. The usage of GrassPlot is regulated through Bylaws that intend to balance the interests of data contributors and data users. The current version (v. 1.00) contains data for approximately 170,000 plots of different sizes and 2,800 nested-plot series. The key components are richness data and metadata. However, most included datasets also encompass compositional data. About 14,000 plots have near-complete records of terricolous bryophytes and lichens in addition to vascular plants. At present, GrassPlot contains data from 36 countries throughout the Palaearctic, spread across elevational gradients and major grassland types. GrassPlot with its multi-scale and multi-taxon focus complements the larger international vegetationplot databases, such as the European Vegetation Archive (EVA) and the global database " sPlot". Its main aim is to facilitate studies on the scale-and taxon-dependency of biodiversity patterns and drivers along macroecological gradients. GrassPlot is a dynamic database and will expand through new data collection coordinated by the elected Governing Board. We invite researchers with suitable data to join GrassPlot. Researchers with project ideas addressable with GrassPlot data are welcome to submit proposals to the Governing Board.
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| 6. |
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| 7. |
- Bengtsson, Anna, et al.
(författare)
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Hälsofrämjande utemiljöer
- 2020
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Ingår i: Movium Fakta. - 2001-2357.
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Annan publikation (populärvet., debatt m.m.)
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| 8. |
- Bengtsson, Anna, et al.
(författare)
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Improving green space design based on health design theory and environmental psychology
- 2024
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Ingår i: Green and healthy Nordic cities : How to plan, design, and manage health-promoting urban green space. - 9789180010887 ; :2024:1, s. 79-104
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- Given the importance of going outdoors for health and well-being, researchers have developed evidence-based models based on extensive research to enable a comprehensive and time-efficient use of evidence in design, planning, and management. Together, the three evidence-based models—the four zones of contact, the quality evaluation tool, and the triangle of supportive environment—describe crucial zones and environmental qualities of green spaces which support and inspire people in general as well as people with particular needs, to use the outdoors. The aim of this chapter is to present the evidence-based models and to describe a four-step process to guide practitioners on how to use the models in green space development. The evidence-based working process does not replace established practices; rather, it is intended to complement existing practices of municipalities or offices working with green space development. Therefore, even if multiple municipalities use the same models, the results are always unique to each site and context. Based on the work within the NORDGREEN project, we have found that the models are useful for projects in varying scales and contexts, and with varying target groups, to support, inspire, and inform green space design, planning, and management for health and well-being.
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| 9. |
- Bengtsson, Fia, 1986-, et al.
(författare)
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Environmental drivers of Sphagnum growth in peatlands across the Holarctic region
- 2021
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Ingår i: Journal of Ecology. - : John Wiley & Sons. - 0022-0477 .- 1365-2745. ; 109:1, s. 417-431
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Tidskriftsartikel (refereegranskat)abstract
- The relative importance of global versus local environmental factors for growth and thus carbon uptake of the bryophyte genusSphagnum-the main peat-former and ecosystem engineer in northern peatlands-remains unclear. We measured length growth and net primary production (NPP) of two abundantSphagnumspecies across 99 Holarctic peatlands. We tested the importance of previously proposed abiotic and biotic drivers for peatland carbon uptake (climate, N deposition, water table depth and vascular plant cover) on these two responses. Employing structural equation models (SEMs), we explored both indirect and direct effects of drivers onSphagnumgrowth. Variation in growth was large, but similar within and between peatlands. Length growth showed a stronger response to predictors than NPP. Moreover, the smaller and denserSphagnum fuscumgrowing on hummocks had weaker responses to climatic variation than the larger and looserSphagnum magellanicumgrowing in the wetter conditions. Growth decreased with increasing vascular plant cover within a site. Between sites, precipitation and temperature increased growth forS. magellanicum. The SEMs indicate that indirect effects are important. For example, vascular plant cover increased with a deeper water table, increased nitrogen deposition, precipitation and temperature. These factors also influencedSphagnumgrowth indirectly by affecting moss shoot density. Synthesis. Our results imply that in a warmer climate,S. magellanicumwill increase length growth as long as precipitation is not reduced, whileS. fuscumis more resistant to decreased precipitation, but also less able to take advantage of increased precipitation and temperature. Such species-specific sensitivity to climate may affect competitive outcomes in a changing environment, and potentially the future carbon sink function of peatlands.
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| 10. |
- Bengtsson-Palme, Johan, 1985, et al.
(författare)
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Strategies to improve usability and preserve accuracy in biological sequence databases
- 2016
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Ingår i: Proteomics. - : Wiley. - 1615-9853 .- 1615-9861. ; 16:18, s. 2454-2460
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Tidskriftsartikel (refereegranskat)abstract
- Biology is increasingly dependent on large-scale analysis, such as proteomics, creating a requirement for efficient bioinformatics. Bioinformatic predictions of biological functions rely upon correctly annotated database sequences, and the presence of inaccurately annotated or otherwise poorly described sequences introduces noise and bias to biological analyses. Accurate annotations are, for example, pivotal for correct identifications of polypeptide fragments. However, standards for how sequence databases are organized and presented are currently insufficient. Here, we propose five strategies to address fundamental issues in the annotation of sequence databases: (i) to clearly separate experimentally verified and unverified sequence entries; (ii) to enable a system for tracing the origins of annotations; (iii) to separate entries with high-quality, informative annotation from less useful ones; (iv) to integrate automated quality-control software whenever such tools exist; and (v) to facilitate post-submission editing of annotations and metadata associated with sequences. We believe that implementation of these strategies, for example as requirements for publication of database papers, would enable biology to better take advantage of large-scale data.
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