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On ecosystems dynamics

Milan Stehlik 1, 2 Pedro Aguirre 3 Stéphane Girard 4 Pavlina Jordanova 5 Jozef Kiseľák 6 Sebastian Torres-Leiva 3 Z Sadovsky 7 Andres Rivera 8
1 Departamento de Estadistica [Valparaiso]
2 Department of Applied Statistics [Linz]
3 Departamento de Matematica [Valparaiso]
4 MISTIS - Modelling and Inference of Complex and Structured Stochastic Systems
Inria Grenoble - Rhône-Alpes, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology, LJK - Laboratoire Jean Kuntzmann
5 Faculty of Mathematics and Computer Science [Schumen]
6 Institute of Mathematics [Kosice, Slovakia]
7 SAS - Slovak Academy of Science [Bratislava]
8 CECs - Centro de Estudios Científicos
Abstract : We show how a dynamical system given by a t-score function for some class of monotonic data transformations generates consistent extreme value estimators. The variation of their values increases the uncertainty of proper assessment of climate change. Two important examples illustrate the methodology: mass balance measurements on Guanaco glacier, Chile, and extreme snow loads in Slovakia. We experience singular learning of the transitions in ecosystems.
Keywords : autonomous system chaos determinism stochasticity Guanaco glacier snow extremes
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https://hal.inria.fr/hal-01394734
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Submitted on : Wednesday, November 9, 2016 - 4:39:32 PM
Last modification on : Thursday, November 19, 2020 - 1:04:02 PM
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Milan Stehlik, Pedro Aguirre, Stéphane Girard, Pavlina Jordanova, Jozef Kiseľák, et al.. On ecosystems dynamics. Ecological Complexity, Elsevier, 2017, 29, pp.10--29. ⟨10.1016/j.ecocom.2016.11.002⟩. ⟨hal-01394734⟩

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