2017
DOI: 10.1016/j.landusepol.2016.10.010
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How do individuals and groups perceive wetland functioning? Fuzzy cognitive mapping of wetland perceptions in Uganda

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Cited by 33 publications
(25 citation statements)
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“…Wetlands are often nested within larger landscapes that experience wide ranges of anthropogenic and climatic pressures (Ramachandran, Kumar, Gopi Sundar, & Bhalla, 2017). Exploring drivers of waterbird trends in wetlands from a local community perspective can give conservationists an opportunity to measure their perception of the impacts of natural and anthropogenic changes (Bosma, Glenk, & Novo, 2017;Dias & Belcher, 2015;Taylor, Howard, & Begg, 1995).…”
Section: Introductionmentioning
confidence: 99%
“…Wetlands are often nested within larger landscapes that experience wide ranges of anthropogenic and climatic pressures (Ramachandran, Kumar, Gopi Sundar, & Bhalla, 2017). Exploring drivers of waterbird trends in wetlands from a local community perspective can give conservationists an opportunity to measure their perception of the impacts of natural and anthropogenic changes (Bosma, Glenk, & Novo, 2017;Dias & Belcher, 2015;Taylor, Howard, & Begg, 1995).…”
Section: Introductionmentioning
confidence: 99%
“…The system simulation can help to explore how the studied system evolves in different scenarios (Bosma et al, 2017). The mathematical model of FCM consists of a [1×n] state vector which includes the values of the concepts and a [n × n] weight matrix W, gathering the weight w ij of the interconnections amongst concepts in the FCM (Büyüközkan & Vardaloğlu, 2012).…”
Section: Fcm Simulationmentioning
confidence: 99%
“…FCM is able to specify the relationships between related concepts of a system and identify its structural properties and dynamics (Azadeh et al , 2014). Meanwhile, FCM can extract knowledge from diverse sources, such as different stakeholder groups, and thus it could reveal the areas of consensus and diverging views from stakeholder groups (Bosma et al , 2017). Because of its above merits, FCM has been used in various areas of studies, such as politics (Christen et al , 2015; Kontogianni et al , 2012), socio-ecological systems (Obiedat and Samarasinghe, 2016; Vanwindekens et al , 2013), socio-economical systems (Kontogianni and Papageorgiou, 2013), the agriculture sector (Rajaram and Das, 2010; Vanwindekens et al , 2013), urban management (Olazabal and Pascual, 2016), environment management (Azadeh et al , 2014; Zhang et al , 2013) and the energy sector (Huang et al , 2013).…”
Section: Fuzzy Cognitive Mapmentioning
confidence: 99%
“…FCM has proven to be very useful in a variety of domains, as emphasized by Papageorgiou and Salmeron [29] in a review of recent applications of this approach. In the environmental field, FCMs have been used to support watershed ecosystems management [30][31][32][33][34], landscape modelling [35,36], forest management [37], farming systems analysis [38], fisheries management [39], bioethanol production from biowaste [40], and intrusion of mining into landscape [41]. FCMs have been also applied to assess climate change impacts and effects of adaptation measures [42,43].…”
Section: Introductionmentioning
confidence: 99%