The resilience is an overarching concept concerning the capacity of complex systems to react to severe crisis by self-organization, innovation and learning and to attain more robust settings than in the original condition. While the theory on resilience has exploded in the last decades, its operationalization is less practiced. A possible way out is the selection of appropriate variables able to measure the behaviour of a system, when it is subject to important stresses. Resilience has been applied to the study of socio-ecological systems, including ecological networks. Ecological networks can reconnect fragmented landscapes through a web of patches intertwined by environmental corridors. In this paper, we aim at assessing the resilience of two ecological networks designed for the towns of Nuoro and Sassari, Italy. The ecological networks are built on the ecological properties of two vegetal target species (i.e. Quercus ilex and Olea europaea) and their seed dispersal through the corresponding frugivorous animal vector species. We have studied the behaviour of the ecological network under different types of attacks to the patches: at random or according to a deterministic choice. Our method allows to compare the dynamic pattern of resilience (i.e. along the process of elimination of patches) and to observe typical behaviour reported in other cases but also interesting peculiarities.

Resilience of ecological networks: a comparative study / DE MONTIS, Andrea; Ganciu, Amedeo; Mulas, Maurizio; Cabras, Matteo; Bardi, Antonietta; Peddio, Valentina; Cocco, Chiara; Massa, Pierangelo; Caschili, Simone. - (2019), pp. 8-9. (Intervento presentato al convegno La gestione del territorio rurale tra opportunità e rischi: ecological networks e impatti ambientali tenutosi a Napoli-Portici nel 13-14 giugno 2019).

Resilience of ecological networks: a comparative study

Andrea De Montis
Conceptualization
;
Amedeo Ganciu
Software
;
Maurizio Mulas
Conceptualization
;
Matteo Cabras
Data Curation
;
Antonietta Bardi
Data Curation
;
Valentina Peddio
Data Curation
;
Chiara Cocco
Software
;
Simone Caschili
Conceptualization
2019-01-01

Abstract

The resilience is an overarching concept concerning the capacity of complex systems to react to severe crisis by self-organization, innovation and learning and to attain more robust settings than in the original condition. While the theory on resilience has exploded in the last decades, its operationalization is less practiced. A possible way out is the selection of appropriate variables able to measure the behaviour of a system, when it is subject to important stresses. Resilience has been applied to the study of socio-ecological systems, including ecological networks. Ecological networks can reconnect fragmented landscapes through a web of patches intertwined by environmental corridors. In this paper, we aim at assessing the resilience of two ecological networks designed for the towns of Nuoro and Sassari, Italy. The ecological networks are built on the ecological properties of two vegetal target species (i.e. Quercus ilex and Olea europaea) and their seed dispersal through the corresponding frugivorous animal vector species. We have studied the behaviour of the ecological network under different types of attacks to the patches: at random or according to a deterministic choice. Our method allows to compare the dynamic pattern of resilience (i.e. along the process of elimination of patches) and to observe typical behaviour reported in other cases but also interesting peculiarities.
2019
9788894161229
Resilience of ecological networks: a comparative study / DE MONTIS, Andrea; Ganciu, Amedeo; Mulas, Maurizio; Cabras, Matteo; Bardi, Antonietta; Peddio, Valentina; Cocco, Chiara; Massa, Pierangelo; Caschili, Simone. - (2019), pp. 8-9. (Intervento presentato al convegno La gestione del territorio rurale tra opportunità e rischi: ecological networks e impatti ambientali tenutosi a Napoli-Portici nel 13-14 giugno 2019).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11388/221777
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