A companion modeling approach applied to fishery management

Worrapimphong, Kobchai; Gajaseni, Nantana; Page, Christophe Le; Bousquet, François

doi:10.1016/j.envsoft.2010.03.012

Cited by 34 publications

(32 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Scrimgeour and Oxley, 2001;Halide et al, 2009;Worrapimphong et al, 2010;Gao and Hailu, 2012). In particular, for the European eel, recruitment-settlement, body growth, natural and fishing mortality, sexual differentiation and maturation are all non-linear functions of age, body size and/or population density and are affected also by environmental variables such as salinity, temperature and productivity of the water body (Edeline et al, 2005;Daverat et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

A user-friendly tool to assess management plans for European eel fishery and conservation

Schiavina

Bevacqua

Melià

et al. 2015

Environmental Modelling & Software

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

A user-friendly tool to assess management plans for European eel fishery and conservation

Schiavina

Bevacqua

Melià

et al. 2015

Environmental Modelling & Software

View full text Add to dashboard Cite

“…scientific knowledge for describing biophysical processes and local knowledge for discussing management options). A deliberative process allows for the integration of these knowledge bases such that they contribute to building and debating a holistic pool of knowledge that can be drawn on in identifying ecosystem services and stakeholders (Pahl-Wostl and Hare 2004;Reed et al 2009), modelling socioecological system processes (Anselme et al 2010;Lynam et al 2010;Worrapimphong et al 2010), identifying indicators of socioecosystem sustainability Reed and Dougill 2002;Yuan et al 2003), discussing scenarios of future ecosystem management Lebel et al 2006;Westhoek et al 2006) and designing sustainable and adaptive management strategies (Becu et al 2008;Lagabrielle et al 2010;Mamun 2010;Pahl-Wostl and Hare 2004;Reed 2008;Simon and Etienne (2010); Walker et al 2002).…”

Section: Requirement Ii: To Focus On Slow Variablesmentioning

confidence: 99%

Deliberative assessment in complex socioecological systems: recommendations for environmental assessment in drylands

Geist

Ioris

2011

Environ Monit Assess

View full text Add to dashboard Cite

Desertification is a complex process, characterised not only by a damaged ecology but also by conflict over access to scarce resources and trade-offs between the needs of multiple stakeholders at multiple scales. As such, orthodox approaches to environmental assessment in drylands, which rely solely on ecological expertise, are gradually losing legitimacy and greater attention is being given to integrated and participatory assessment approaches, which draw on multiple sources of knowledge in order to accurately describe complex socioecological processes. Moreover, there is growing recognition that successful management of desertification requires a strategy that can accommodate the multiple and often competing needs of contemporary and future stakeholders. In light of these conceptual advances, this paper highlights seven key criteria that dryland environmental assessments must meet: (1) accurately understand complex socioecological system processes, (2) focus on slow variables, (3) integrate multiple scales of analysis, (4) integrate multiple stakeholder perspectives and values, (5) ensure that future generations are fairly represented, (6) ensure that less powerful stakeholders are fairly represented and (7) integrate local and scientific knowledge. The virtues and challenges of deliberative environmental assessments, a novel subset of participatory environmental assessment approaches which places emphasis on social learning, argumentation and critical reflection, are considered in relation to each of these requirements. We argue that deliberative approaches have the potential to achieve accurate, progressive and integrated assessment of dryland environments.

show abstract

“…This is partly a result of progress in computing leading to faster modelling capabilities that allow interactive, stakeholder-driven models to be built more easily. In turn this progress has led to a research stream focused on using participatory modelling in natural resource management (Sandker et al, 2010;Worrapimphong et al, 2010), and to a growing number of applications in which stakeholders and managers themselves can test their ideas. Economic and social models are often integrated within such applications.…”

Section: Introductionmentioning

confidence: 99%

A simulation interface designed for improved user interaction and learning in water quality modelling software

Moeseneder¹,

Dutra²,

Thébaud³

et al. 2015

Environmental Modelling & Software

View full text Add to dashboard Cite

A companion modeling approach applied to fishery management

Cited by 34 publications

References 31 publications

A user-friendly tool to assess management plans for European eel fishery and conservation

A user-friendly tool to assess management plans for European eel fishery and conservation

Deliberative assessment in complex socioecological systems: recommendations for environmental assessment in drylands

A simulation interface designed for improved user interaction and learning in water quality modelling software

Contact Info

Product

Resources

About