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Sökning: WFRF:(Carletti Timoteo)

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1.
  • De Laender, Frederik, et al. (författare)
  • Mean species responses predict effects of environmental change on coexistence
  • 2023
  • Ingår i: Ecology Letters. - : WILEY. - 1461-023X .- 1461-0248. ; 26:9, s. 1535-1547
  • Tidskriftsartikel (refereegranskat)abstract
    • Environmental change research is plagued by the curse of dimensionality: the number of communities at risk and the number of environmental drivers are both large. This raises the pressing question if a general understanding of ecological effects is achievable. Here, we show evidence that this is indeed possible. Using theoretical and simulation-based evidence for bi- and tritrophic communities, we show that environmental change effects on coexistence are proportional to mean species responses and depend on how trophic levels on average interact prior to environmental change. We then benchmark our findings using relevant cases of environmental change, showing that means of temperature optima and of species sensitivities to pollution predict concomitant effects on coexistence. Finally, we demonstrate how to apply our theory to the analysis of field data, finding support for effects of land use change on coexistence in natural invertebrate communities.
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2.
  • Eriksson, Anton, et al. (författare)
  • Flow-Based Community Detection in Hypergraphs
  • 2022
  • Ingår i: Higher-Order Systems. - Cham : Springer Science+Business Media B.V.. - 9783030913748 ; , s. 141-161
  • Bokkapitel (refereegranskat)abstract
    • To connect structure, dynamics and function in systems with multibody interactions, network scientists model random walks on hypergraphs and identify communities that confine the walks for a long time. The two flow-based community-detection methods Markov stability and the map equation identify such communities based on different principles and search algorithms. But how similar are the resulting communities? We explain both methods’ machinery applied to hypergraphs and compare them on synthetic and real-world hypergraphs using various hyperedge-size biased random walks and time scales. We find that the map equation is more sensitive to time-scale changes and that Markov stability is more sensitive to hyperedge-size biases.
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