| 1. |
- Kattge, Jens, et al.
(författare)
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TRY plant trait database - enhanced coverage and open access
- 2020
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Ingår i: Global Change Biology. - : Wiley-Blackwell. - 1354-1013 .- 1365-2486. ; 26:1, s. 119-188
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Tidskriftsartikel (refereegranskat)abstract
- Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.
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| 2. |
- Aumayr, E., et al.
(författare)
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Service-based Analytics for 5G open experimentation platforms
- 2022
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Ingår i: Computer Networks. - : Elsevier B.V.. - 1389-1286 .- 1872-7069. ; 205
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Tidskriftsartikel (refereegranskat)abstract
- A scalable, flexible and reliable Analytics service has become a requirement toward building efficient Fifth Generation (5G) experimental platforms that can support a suite of end-user experiments and verticals. Our paper presents the challenges that come with designing such a service-based Analytics component, and shows how we have used it in the context of open experimental platforms in the 5GENESIS project. Our Analytics service was designed both for enabling the efficient setup and configuration of the underlying platform, and also for ensuring that it provides useful insights into the experimentation Key Performance Indicators (KPIs) toward the end-user. Thus, Analytics proved to be a useful tool across several stages, starting from ensuring correct operation during the initial phases of the network setup and continuing into the normal day-to-day experimentation. Our experiments show how the tool was used in our setup and provide information on how to apply it to different environments. The Analytics component, designed as a set of microservices that serve several goals in the analytics workflow, is also provided as open source, being part of the Open5Genesis suite.
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| 3. |
- Gómez-Llano, Miguel, et al.
(författare)
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Meta-analytical evidence for frequency-dependent selection across the tree of life
- 2024
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Ingår i: Ecology Letters. - : John Wiley & Sons. - 1461-023X .- 1461-0248. ; 27:8
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Forskningsöversikt (refereegranskat)abstract
- Explaining the maintenance of genetic variation in fitness-related traits within populations is a fundamental challenge in ecology and evolutionary biology. Frequency-dependent selection (FDS) is one mechanism that can maintain such variation, especially when selection favours rare variants (negative FDS). However, our general knowledge about the occurrence of FDS, its strength and direction remain fragmented, limiting general inferences about this important evolutionary process. We systematically reviewed the published literature on FDS and assembled a database of 747 effect sizes from 101 studies to analyse the occurrence, strength, and direction of FDS, and the factors that could explain heterogeneity in FDS. Using a meta-analysis, we found that overall, FDS is more commonly negative, although not significantly when accounting for phylogeny. An analysis of absolute values of effect sizes, however, revealed the widespread occurrence of modest FDS. However, negative FDS was only significant in laboratory experiments and non-significant in mesocosms and field-based studies. Moreover, negative FDS was stronger in studies measuring fecundity and involving resource competition over studies using other fitness components or focused on other ecological interactions. Our study unveils key general patterns of FDS and points in future promising research directions that can help us understand a long-standing fundamental problem in evolutionary biology and its consequences for demography and ecological dynamics. In nature, there is ample evidence of local adaptation among populations, which would predict an erosion of genetic variation due to natural selection. However, numerous studies have documented substantial genetic variation in most traits, more than could be explained by mutation alone. Here, we present a literature review and meta-analysis showing evidence of negative frequency-dependence selection, in agreement with this mechanism maintaiing genetic variation.
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