| 1. |
- Franklin, Oskar, et al.
(författare)
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Modeling carbon allocation in trees : a search for principles
- 2012
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Ingår i: Tree Physiology. - : Oxford University Press (OUP). - 0829-318X .- 1758-4469. ; 32:6, s. 648-666
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Forskningsöversikt (refereegranskat)abstract
- We review approaches to predicting carbon and nitrogen allocation in forest models in terms of their underlying assumptions and their resulting strengths and limitations. Empirical and allometric methods are easily developed and computationally efficient, but lack the power of evolution-based approaches to explain and predict multifaceted effects of environmental variability and climate change. In evolution-based methods, allocation is usually determined by maximization of a fitness proxy, either in a fixed environment, which we call optimal response (OR) models, or including the feedback of an individual's strategy on its environment (game-theoretical optimization, GTO). Optimal response models can predict allocation in single trees and stands when there is significant competition only for one resource. Game-theoretical optimization can be used to account for additional dimensions of competition, e.g., when strong root competition boosts root allocation at the expense of wood production. However, we demonstrate that an OR model predicts similar allocation to a GTO model under the root-competitive conditions reported in free-air carbon dioxide enrichment (FACE) experiments. The most evolutionarily realistic approach is adaptive dynamics (AD) where the allocation strategy arises from eco-evolutionary dynamics of populations instead of a fitness proxy. We also discuss emerging entropy-based approaches that offer an alternative thermodynamic perspective on allocation, in which fitness proxies are replaced by entropy or entropy production. To help develop allocation models further, the value of wide-ranging datasets, such as FLUXNET, could be greatly enhanced by ancillary measurements of driving variables, such as water and soil nitrogen availability.
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| 2. |
- Lindfors, Oskar, et al.
(författare)
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Överdiagnostik – vad är det? : INTRODUKTION TILL BEGREPPET [What is overdiagnosis?]
- 2023
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Ingår i: Läkartidningen. - : Sveriges Läkarförbund. - 0023-7205 .- 1652-7518. ; 120
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Forskningsöversikt (refereegranskat)abstract
- A considerable amount of spending in health care is deemed wasteful. Overdiagnosis, i.e. the labelling of a person with a diagnosis that lacks net benefit, is an entity within the overarching concept of »too much medicine«. Overdiagnosis includes overdetection and overdefinition. Disease mongering is a type of overdefinition with economic drivers. Overtesting and overtreatment are other aspects of »too much medicine«, but are not overdiagnosis per se. Medical research tends to focus on benefits of diagnostics and therapy, whereas overdiagnosis and other harms receive less attention, leading to overestimation of benefits. The international network Choosing Wisely has been successful in changing the diagnostic mindset in several countries and a Swedish campaign is under way, yielding new possibilities to counteract »too much medicine« and the specific problem of overdiagnosis.
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| 3. |
- Nasr, Amro, et al.
(författare)
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A review of the potential impacts of climate change on the safety and performance of bridges
- 2021
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Ingår i: Sustainable and Resilient Infrastructure. - : Informa UK Limited. - 2378-9689 .- 2378-9697. ; 6:3-4, s. 192-212
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Forskningsöversikt (refereegranskat)abstract
- An overabundance of evidence, both observational and from model projections, indicate that changes to the climate system are taking place at unprecedented rates. Although the magnitudes of these changes involve large uncertainties, the fact that our climate is changing is unequivocal. To ensure an unimpaired functionality of our societies,it is therefore of crucial importance to study the potential climate change impacts on infrastructure. Taking into account that bridges have a considerably long service life, it is of direct relevance to ascertain their reliable performance against climate change risks. This paper synthesizes the findings of over 190 research articles to identify the potential risks climate change may pose on bridges. Over 30 potential risks, supported by pertinent previous bridge damage (or failure) cases, are identified, categorized, and linked to the projected future climate changes. The identified risks can be used as a basis for future risk prioritization by bridge managers.
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