Výsledky vyhledávání - "PELLISSIER, LOÏC"

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Multi-Scale and Multimodal Species Distribution Modeling

Autor: van Tiel, Nina, Zbinden, Robin, Dalsasso, Emanuele, Kellenberger, Benjamin, Pellissier, Loïc, Tuia, Devis

Species distribution models (SDMs) aim to predict the distribution of species by relating occurrence data with environmental variables. Recent applications of deep learning to SDMs have enabled new avenues, specifically the inclusion of spatial data

Externí odkaz: http://arxiv.org/abs/2411.04016

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Akademický článek

Landscape simplification leads to loss of plant–pollinator interaction diversity and flower visitation frequency despite buffering by abundant generalist pollinators

Autor: Maurer, Corina, Martínez-Núñez, Carlos, Dominik, Christophe, Heuschele, Jonna, Liu, Yicong, Neumann, Peter, Paxton, Robert J., Pellissier, Loïc, Proesmans, Willem, Schweiger, Oliver, Szentgyörgyi, Hajnalka, Vanbergen, Adam, Albrecht, Matthias

Publikováno v: Diversity and Distributions, 2024 Sep 01. 30(9), 1-15.

Externí odkaz: https://www.jstor.org/stable/48784954

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Novel community data in ecology -- properties and prospects

Autor: Hartig, Florian, Abrego, Nerea, Bush, Alex, Chase, Jonathan M., Guillera-Arroita, Gurutzeta, Leibold, Mathew A., Ovaskainen, Otso, Pellissier, Loïc, Pichler, Maximilian, Poggiato, Giovanni, Pollock, Laura, Si-Moussi, Sara, Thuiller, Wilfried, Viana, Duarte S., Warton, David I., Zurell, Damaris, Yu, Douglas W.

Publikováno v: Trends in Ecology & Evolution, 2024

New technologies for acquiring biological information such as eDNA, acoustic or optical sensors, make it possible to generate spatial community observations at unprecedented scales. The potential of these novel community data to standardize community

Externí odkaz: http://arxiv.org/abs/2401.10860

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Processes analogous to ecological interactions and dispersal shape the dynamics of economic activities

Autor: Boussange, Victor, Sornette, Didier, Lischke, Heike, Pellissier, Loïc

The processes of ecological interactions, dispersal and mutations shape the dynamics of biological communities, and analogous eco-evolutionary processes acting upon economic entities have been proposed to explain economic change. This hypothesis is c

Externí odkaz: http://arxiv.org/abs/2301.09486

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Deep learning approximations for non-local nonlinear PDEs with Neumann boundary conditions

Autor: Boussange, Victor, Becker, Sebastian, Jentzen, Arnulf, Kuckuck, Benno, Pellissier, Loïc

Nonlinear partial differential equations (PDEs) are used to model dynamical processes in a large number of scientific fields, ranging from finance to biology. In many applications standard local models are not sufficient to accurately account for cer

Externí odkaz: http://arxiv.org/abs/2205.03672

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