Jacopo A. Baggio

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Jacopo A. Baggio

Institution

School of Politics, Security, and International Affairs, National Center for Integrated Coastal Research, Sustainable Coastal Systems Cluster, University of Central Florida

Personal homepage

https://sites.google.com/site/jacopobaggio/

ORCID more info

https://orcid.org/0000-0002-9616-4143

GitHub more info

No associated github account.

No bio entered.

Landscape connectivity and predator–prey population dynamics

Jacopo Baggio | Published Thu Nov 10 19:35:38 2011 | Last modified Sat Apr 27 20:18:37 2013

A simple model to assess the effect of connectivity on interacting species (i.e. predator-prey type)

Modeling information Asymmetries in Tourism

Rodolfo Baggio Jacopo Baggio | Published Mon Jan 9 20:43:10 2012 | Last modified Sat Apr 27 20:18:40 2013

A very simple model elaborated to explore what may happens when buyers (travelers) have more information than sellers (tourist destinations)

The model objective’s is to explore the management choice set to uncover which subsets of strategies are most effective at maximizing species coexistence on a fragmented landscape.

Comparing agent-based models on experimental data of irrigation games

Jacopo Baggio Marco Janssen | Published Tue Jul 2 18:26:39 2013 | Last modified Wed Jul 3 17:22:09 2013

Comparing 7 alternative models of human behavior and assess their performance on a high resolution dataset based on individual behavior performance in laboratory experiments.

Effect of communication in irrigation games

Marco Janssen Jacopo Baggio | Published Wed Jan 14 04:08:32 2015 | Last modified Wed Aug 9 01:28:22 2017

The model includes different formulations how agents make decisions in irrigation games and this is compared with empirical data. The aim is to test different theoretical models, especially explaining effect of communication.

We create metapopulations using weights from a txt file. Metapopulation dynamics are driven by the actions of predator and prey agents. Network weights represent distance between patches and are inversely related to successful agent dispersal.

This model aims to investigate how different type of learning (social system) and disturbance specific attributes (ecological system) influence adoption of treatment strategies to treat the effects of ecological disturbances.

The aim of this model is to explore and understand the factors driving adoption of treatment strategies for ecological disturbances, considering payoff signals, learning strategies and social-ecological network structure

Exploring how learning and social-ecological networks influence management choice set and their ability to increase the likelihood of species coexistence (i.e. biodiversity) on a fragmented landscape controlled by different managers.

Under development.

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