ParrottChionGonzalesEtAl2012

Référence

Parrott, L., Chion, C., Gonzales, R. and Latombe, G. (2012) Agents, individuals, and networks: Modeling methods to inform natural resource management in regional landscapes. Ecology and Society, 17(3):-32. (URL )

Résumé

Landscapes are complex systems. Landscape dynamics are the result of multiple interacting biophysical and socioeconomic processes that are linked across a broad range of spatial, temporal, and organizational scales. Understanding and describing landscape dynamics poses enormous challenges and demands the use of new multiscale approaches to modeling. In this synthesis article, we present three regional systems-i.e., a forest system, a marine system, and an agricultural system-and describe how hybrid, bottom-up modeling of these systems can be used to represent linkages across scales and between subsystems. Through the use of these three examples, we describe how modeling can be used to simulate emergent system responses to different conservation policy and management scenarios from the bottom up, thereby increasing our understanding of important drivers and feedback loops within a landscape. The first case study involves the use of an individual-based modeling approach to simulate the effects of forest harvesting on the movement patterns of large mammals in Canada's boreal forest and the resulting emergent population dynamics. This model is being used to inform forest harvesting and management guidelines. The second case study combines individual and agent-based approaches to simulate the dynamics of individual boats and whales in a marine park. This model is being used to inform decision-makers on how to mitigate the impacts of maritime traffic on whales in the Saint Lawrence Estuary in eastern Canada. The third example is a case study of biodiversity conservation efforts on the Eyre Peninsula, South Australia. In this example, the social-ecological system is represented as a complex network of interacting components. Methods of network analysis can be used to explore the emergent responses of the system to changes in the network structure or configuration, thus informing managers about the resilience of the system. These three examples illustrate how bottom-up modeling approaches may contribute to a new landscape science based on scenario building, to find solutions that meet the multiple objectives of integrated resource management in social-ecological systems. © 2012 by the author(s).

Format EndNote

Vous pouvez importer cette référence dans EndNote.

Format BibTeX-CSV

Vous pouvez importer cette référence en format BibTeX-CSV.

Format BibTeX

Vous pouvez copier l'entrée BibTeX de cette référence ci-bas, ou l'importer directement dans un logiciel tel que JabRef .

@ARTICLE { ParrottChionGonzalesEtAl2012,
    AUTHOR = { Parrott, L. and Chion, C. and Gonzales, R. and Latombe, G. },
    TITLE = { Agents, individuals, and networks: Modeling methods to inform natural resource management in regional landscapes },
    JOURNAL = { Ecology and Society },
    YEAR = { 2012 },
    VOLUME = { 17 },
    PAGES = { --32 },
    NUMBER = { 3 },
    ABSTRACT = { Landscapes are complex systems. Landscape dynamics are the result of multiple interacting biophysical and socioeconomic processes that are linked across a broad range of spatial, temporal, and organizational scales. Understanding and describing landscape dynamics poses enormous challenges and demands the use of new multiscale approaches to modeling. In this synthesis article, we present three regional systems-i.e., a forest system, a marine system, and an agricultural system-and describe how hybrid, bottom-up modeling of these systems can be used to represent linkages across scales and between subsystems. Through the use of these three examples, we describe how modeling can be used to simulate emergent system responses to different conservation policy and management scenarios from the bottom up, thereby increasing our understanding of important drivers and feedback loops within a landscape. The first case study involves the use of an individual-based modeling approach to simulate the effects of forest harvesting on the movement patterns of large mammals in Canada's boreal forest and the resulting emergent population dynamics. This model is being used to inform forest harvesting and management guidelines. The second case study combines individual and agent-based approaches to simulate the dynamics of individual boats and whales in a marine park. This model is being used to inform decision-makers on how to mitigate the impacts of maritime traffic on whales in the Saint Lawrence Estuary in eastern Canada. The third example is a case study of biodiversity conservation efforts on the Eyre Peninsula, South Australia. In this example, the social-ecological system is represented as a complex network of interacting components. Methods of network analysis can be used to explore the emergent responses of the system to changes in the network structure or configuration, thus informing managers about the resilience of the system. These three examples illustrate how bottom-up modeling approaches may contribute to a new landscape science based on scenario building, to find solutions that meet the multiple objectives of integrated resource management in social-ecological systems. © 2012 by the author(s). },
    COMMENT = { Export Date: 9 November 2012 Source: Scopus },
    ISSN = { 17083087 (ISSN) },
    KEYWORDS = { Agent-based modeling, Complex systems, Individual-based modeling, Integrated natural resource management, Landscape modeling, Regional landscapes, Social-ecological networks, biodiversity, biophysics, boreal forest, bottom-up approach, conservation management, decision making, farming system, forest management, harvesting, landscape planning, modeling, natural resource, network analysis, population dynamics, regional planning, socioeconomic impact, Australia, Canada, Eyre Peninsula, Quebec [Canada], Saint Lawrence Estuary, South Australia, Cetacea, Mammalia },
    OWNER = { Luc },
    TIMESTAMP = { 2012.11.09 },
    URL = { http://dx.doi.org/10.5751/ES-04936-170332 },
}

********************************************************** ***************** Facebook Twitter *********************** **********************************************************

Abonnez-vous à
l'Infolettre du CEF,
suivez-nous sur

et

et lisez les blogues
de nos membres!

********************************************************** ************* Colloque du CEF **************************** **********************************************************

12e Colloque
annuel du

30 avril au 2 mai 2018
Campus de l'Université Laval

Appel de proposition d'atelier
Appel de conférence et d'affiche

********************************************************** ***************** Pub - Carapace ****************** **********************************************************

********************************************************** ***************** Pub - Budworm ****************** **********************************************************

********************************************************** ***************** Pub - Colibri **************************** **********************************************************

********************************************************** ***************** Pub - NewForest **************************** **********************************************************

********************************************************** ********** Pub 6 - Au coeur de l'arbre *********** **********************************************************

...Une exposition
virtuelle sur l'arbre!

********************************************************** ***************** Boîte à trucs *************** **********************************************************

CEF-Référence
La référence vedette !

Jérémie Alluard (2016) Les statistiques au moments de la rédaction 

  • Ce document a pour but de guider les étudiants à intégrer de manière appropriée une analyse statistique dans leur rapport de recherche.

Voir les autres...