A review of Bayesian belief networks in ecosystem service modelling

Landuyt, Dries; Broekx, Steven; D'hondt, Rob; Engelen, Guy; Aertsens, Joris; Goethals, Peter

doi:10.1016/j.envsoft.2013.03.011

Cited by 328 publications

(204 citation statements)

References 101 publications

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“…The advantage of a BBN is that uncertainties as well as expert opinions can be incorporated, while the strength of the causal relations between the networks variables can be quantified through conditional probabilities (Landuyt et al 2013). BBNs are now being used for evidence-based conservation management of both aquatic and terrestrial ecosystems (reviewed by Landuyt et al 2013).…”

Section: The Comparative Advantagementioning

confidence: 99%

Phylogeography unplugged: comparative surveys in the genomic era

Bowen¹,

Shanker²,

Yasuda³

et al. 2014

BMS

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ABSTRACT.-In March 2012, the authors met at the National Evolutionary Synthesis Center (NESCent) in Durham, North Carolina, USA, to discuss approaches and cooperative ventures in Indo-Pacific phylogeography. The group emerged with a series of findings: (1) Marine population structure is complex, but single locus mtDNA studies continue to provide powerful first assessment of phylogeographic patterns. (2) These patterns gain greater significance/power when resolved in a diversity of taxa. New analytical tools are emerging to address these analyses with multi-taxon approaches. (3) Genome-wide analyses are warranted if selection is indicated by surveys of standard markers. Such indicators can include discordance between genetic loci, or between genetic loci and morphology. Phylogeographic information provides a valuable context for studies of selection and adaptation. (4) Phylogeographic inferences are greatly enhanced by an understanding of the biology and ecology of study organisms. (5) Thorough, range-wide sampling of taxa is the foundation for robust phylogeographic inference. (6) Congruent geographic and taxonomic sampling by the IndoPacific community of scientists would facilitate better comparative analyses. The group concluded that at this stage of technology and software development, judicious rather than wholesale application of genomics appears to be the most robust course for marine phylogeographic studies. Therefore, our group intends to affirm the value of traditional ("unplugged") approaches, such as those based on mtDNA sequencing and microsatellites, along with essential field studies, in an era with increasing emphasis on genomic approaches.

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Section: The Comparative Advantagementioning

confidence: 99%

Phylogeography unplugged: comparative surveys in the genomic era

Bowen¹,

Shanker²,

Yasuda³

et al. 2014

BMS

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“…Алгебраические байесовские сети (АБС) [1][2][3] являются одним из классов вероятностных графи-ческих моделей (ВГМ) [4], все более широко применяющихся в интеллектуальных системах поддержки принятия решений и рекомендательных системах [5][6][7][8][9], системах анализа безопасности, рисков и обна-ружения отказов [10][11][12][13], интеллектуального анализа текстов для составления маркетинговых прогнозов [14], системах моделирования отклика экологических систем на различные изменения и воздействия [15] и др. Все классы ВГМ фактически являются представлением баз фрагментов знаний с неопределенно-стью, причем предполагается, что предметная область допускает декомпозицию на небольшие фрагмен-ты знаний -совокупности локально тесно связанных объектов (например, утверждений или перемен-ных), а фрагменты знаний на глобальном уровне имеют разреженные связи между собой [4,16].…”

Section: Introductionunclassified

Matrix-vector algorithms for normalizing factors in algebraic Bayesian networks local posteriori inference

Zolotin¹,

Тулупьев²,

Sirotkin³

2015

Naučno-teh. vestn. inf. tehnol. meh. opt.

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“…Due to the capability of multidisciplinary modelling, BN models, as flexible and transparent tools, have been widely used in ecosystem service modelling and water management (Carmona et 20 al., 2011;Aguilera et al, 2011;Landuyt et al, 2013;Poppenborg and Koellner, 2014). In the present study, a participatory BN model was developed to implement the IWRM framework in which users of water for water-related services of ecosystems are embedded.…”

Section: Ecosystem Services-based Iwrm Implementation Using the Bn Modelmentioning

confidence: 99%

“…advantage of participatory BN models is the ease with which the existing model can be updated when new knowledge and data become available (Landuyt et al, 2013). Therefore, it is necessary to carry out further research that focuses on the integration of multiple perspectives, as well as ecosystem services, into IWRM projects, using participatory BN models.…”

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confidence: 99%

Development of a participatory Bayesian network model for integrating ecosystem services into catchment-scale water resources management

Xue

GUI

Lei

et al. 2016

Preprint

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Abstract. This paper proposes an ecosystem services-based integrated water resource management (IWRM) framework within which a participatory Bayesian network (BN) model that 15assists with the integration of IWRM is developed. The framework is divided three steps: (1) identifying water-related services of ecosystems; (2) analysis of the tradeoffs and synergy among users of water; and (3) ecosystem services-based IWRM implementation using the BN model. We present the development, evaluation and application of a participatory BN model with the involvement of four participant groups (stakeholders, water manager, water management experts, 20 and research team) in Qira oasis area, Northwest China. As a typical catchment-scale region, the Qira oasis area is facing severe water competition between the demands of human activities and natural ecosystems. We demonstrate that the BN model developed provides effective integration of ecosystem services into a quantitative IWMR framework via public negotiation and feedback. The network results, sensitivity evaluation, and management scenarios are broadly accepted by the 25 participant groups. The intervention scenarios from the model conclude that any water management measure remains unable to sustain the ecosystem health in water-related ecosystem services. Greater cooperation among the stakeholders is highly necessary for dealing with such water conflicts. In particular, a proportion of the agricultural water saved through improving water-use efficiency should be transferred to natural ecosystems via water trade. The BN model 30 developed is appropriate for areas throughout the world in which there is intense competition for water between human activities and ecosystems -particularly in arid regions.

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A review of Bayesian belief networks in ecosystem service modelling

Cited by 328 publications

References 101 publications

Phylogeography unplugged: comparative surveys in the genomic era

Phylogeography unplugged: comparative surveys in the genomic era

Matrix-vector algorithms for normalizing factors in algebraic Bayesian networks local posteriori inference

Development of a participatory Bayesian network model for integrating ecosystem services into catchment-scale water resources management

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