Jonathan Giezendanner

This person is no longer with EPFL

About
Privacy
Disclaimer

Graph Chatbot

Related publications (5)

Earth and field observations underpin metapopulation dynamics in complex landscapes: Near-term study on carabids

Andrea Rinaldo, Francisco Javier Perez Saez, Jonathan Giezendanner, Damiano Pasetto

Understanding risks to biodiversity requires predictions of the spatial distribution of species adapting to changing ecosystems and, to that end, Earth observations integrating field surveys prove essential as they provide key numbers for assessing landsca ...

2020

Beyond the patch: on landscape-explicit metapopulation dynamics

Jonathan Giezendanner

Climate change threatens biodiversity and species distribution all over the world at unprecedented rates. Human induced changes to landscape structure and habitat are redefining the relation between species and their environment. Understanding, characteriz ...

EPFL2020

A minimalist model of extinction and range dynamics of virtual mountain species driven by warming temperatures

Andrea Rinaldo, Enrico Bertuzzo, Jonathan Giezendanner, Damiano Pasetto

A longstanding question in ecology concerns the prediction of the fate of mountain species under climate change, where climatic and geomorphic factors but also endogenous species characteristics are jointly expected to control species distributions. A sign ...

2019

On the probabilistic nature of the species-area relation

Andrea Rinaldo, Jonathan Giezendanner, Amos Maritan, Andrea Giometto, Silvia Zaoli

The Species-Area Relation (SAR), which describes the increase in the number of species S with increasing area A, is under intense scrutiny in contemporary ecology, in particular to probe its reliability in predicting the number of species going extinct as ...

2019

Towards 3-D Distributed Odor Source Localization: An Extended Graph-Based Formation Control Algorithm for Plume Tracking

Alcherio Martinoli, Jonathan Giezendanner, Anil Augustin Kodiyan, Jorge Miguel Dias Almeida Rodrigues Soares, António Pedro Rodrigues de Aguiar, Ali Marjovi

The large number of potential applications for robotic odor source localization has motivated the development of a variety of plume tracking algorithms, the majority of which work in restricted two-dimensional scenarios. In this paper, we introduce a distr ...

IEEE2016

Page 1 of 1