A Bayesian Belief Network learning tool integrates multi-scale effects of riparian buffers on stream invertebrates.

[1]  P. Goethals,et al.  Do investments in water quality and habitat restoration programs pay off? An analysis of the chemical and biological water quality of a lowland stream in the Zwalm River basin (Belgium) , 2021 .

[2]  P. Goethals,et al.  Forested Riparian Buffers Change the Taxonomic and Functional Composition of Stream Invertebrate Communities in Agricultural Catchments , 2021, Water.

[3]  P. Goethals,et al.  Forested Riparian Zones Provide Important Habitat for Fish in Urban Streams , 2021, Water.

[4]  Hua Zhang,et al.  Influence of landscape structures on river water quality at multiple spatial scales: A case study of the Yuan river watershed, China , 2021 .

[5]  P. Goethals,et al.  Riparian Vegetation Structure Influences Terrestrial Invertebrate Communities in an Agricultural Landscape , 2021, Water.

[6]  A. Tiwari,et al.  Managing riparian zones for river health improvement: an integrated approach , 2021, Landscape and Ecological Engineering.

[7]  A. Tengberg,et al.  Knowledge Production for Resilient Landscapes: Experiences from Multi-Stakeholder Dialogues on Water, Food, Forests, and Landscapes , 2020, Forests.

[8]  Peace Liz Sasha Musonge,et al.  Rwenzori Score (RS): A Benthic Macroinvertebrate Index for Biomonitoring Rivers and Streams in the Rwenzori Region, Uganda , 2020, Sustainability.

[9]  A. St‐Hilaire,et al.  Assessment of the effective width of riparian buffer strips to reduce suspended sediment in an agricultural landscape using ANFIS and SWAT models , 2020 .

[10]  J. M. Ponce-Ortega,et al.  Sustainable assessment of Water-Energy-Food Nexus at regional level through a multi-stakeholder optimization approach , 2020 .

[11]  M. Volk,et al.  Small Patches of Riparian Woody Vegetation Enhance Biodiversity of Invertebrates , 2020, Water.

[12]  G. B. Nardoto,et al.  Factors affecting the effectiveness of riparian buffers in retaining sediment: an isotopic approach , 2020, Environmental Monitoring and Assessment.

[13]  G. Zolezzi,et al.  Prioritizing reaches for restoration in a regulated Alpine river: Locally driven versus hydro‐morphologically based actions , 2020, River Research and Applications.

[14]  Richard K. Johnson,et al.  The Structure of Riparian Vegetation in Agricultural Landscapes Influences Spider Communities and Aquatic-Terrestrial Linkages , 2020 .

[15]  N. Friberg,et al.  Benthic Diatom Communities in Urban Streams and the Role of Riparian Buffers , 2020 .

[16]  Eva Skarbøvik,et al.  Phosphorus retention, erosion protection and farmers’ perceptions of riparian buffer zones with grass and natural vegetation: Case studies from South-Eastern Norway , 2020, Ambio.

[17]  R. Odong,et al.  Comparison of temperate and tropical versions of Biological Monitoring Working Party (BMWP) index for assessing water quality of River Aturukuku in Eastern Uganda , 2020 .

[18]  P. Durand,et al.  River network alteration of C-N-P dynamics in a mesoscale agricultural catchment. , 2020, The Science of the total environment.

[19]  P. Spanoghe,et al.  Bayesian Belief Network models as trade-off tools of ecosystem services in the Guayas River Basin in Ecuador , 2020 .

[20]  P. Goethals,et al.  An Integrated Approach of Multi-Community Monitoring and Assessment of Aquatic Ecosystems to Support Sustainable Development , 2020, Sustainability.

[21]  T. Isenhart,et al.  Long-term nitrate removal in three riparian buffers: 21 years of data from the Bear Creek watershed in central Iowa, USA. , 2020, The Science of the total environment.

[22]  Carlington W. Wallace,et al.  Assessing the effectiveness of riparian buffers for reducing organic nitrogen loads in the Coastal Plain of the Chesapeake Bay watershed using a watershed model , 2020, Journal of Hydrology.

[23]  M. Volk,et al.  Assessing the Benefits of Forested Riparian Zones: A Qualitative Index of Riparian Integrity Is Positively Associated with Ecological Status in European Streams , 2020, Water.

[24]  A. Gericke,et al.  Deriving a Bayesian Network to Assess the Retention Efficacy of Riparian Buffer Zones , 2020, Water.

[25]  Thuc D. Phan,et al.  Applications of Bayesian Networks as Decision Support Tools for Water Resource Management under Climate Change and Socio-Economic Stressors: A Critical Appraisal , 2019, Water.

[26]  P. Goethals,et al.  Assessing the Freshwater Quality of a Large-Scale Mining Watershed: The Need for Integrated Approaches , 2019, Water.

[27]  Andrea Taramelli,et al.  Monitoring Green Infrastructure for Natural Water Retention Using Copernicus Global Land Products , 2019, Remote. Sens..

[28]  E. Degerman,et al.  Flow restoration and the impacts of multiple stressors on fish communities in regulated rivers , 2019, Journal of Applied Ecology.

[29]  P. Spanoghe,et al.  Distribution of agricultural pesticides in the freshwater environment of the Guayas river basin (Ecuador). , 2019, The Science of the total environment.

[30]  Sacha Gobeyn,et al.  Impact assessment of local land use on ecological water quality of the Guayas river basin (Ecuador) , 2018, Ecol. Informatics.

[31]  Qiong Huang,et al.  Simulation-Based Decision Support Tools in the Early Design Stages of a Green Building—A Review , 2018, Sustainability.

[32]  L. Patnaik,et al.  Macroinvertebrates and its impact in assessing water quality of riverine system: A case study of Mahanadi river, Cuttack, India , 2018, Journal of Applied and Natural Science.

[33]  S. Ormerod,et al.  Evaluating riparian solutions to multiple stressor problems in river ecosystems - A conceptual study. , 2018, Water research.

[34]  P. Goethals,et al.  Freshwater Ecosystem Services in Mining Regions: Modelling Options for Policy Development Support , 2018 .

[35]  Anders L. Madsen,et al.  Operationalising ecosystem service assessment in Bayesian Belief Networks: experiences within the OpenNESS project , 2017 .

[36]  S. Megdal,et al.  Water Governance, Stakeholder Engagement, and Sustainable Water Resources Management , 2017 .

[37]  B. Burkhard,et al.  Mapping Ecosystem Services , 2017 .

[38]  Sheng Li,et al.  Assessing impacts of riparian buffer zones on sediment and nutrient loadings into streams at watershed scale using an integrated REMM‐SWAT model , 2017 .

[39]  O. N. Odume.  Ecosystem Approach to Managing Water Quality , 2017 .

[40]  Richard K. Johnson,et al.  Adapting boreal streams to climate change: effects of riparian vegetation on water temperature and biological assemblages , 2016, Freshwater Science.

[41]  Minar Naomi Damanik-Ambarita,et al.  Ecological water quality analysis of the Guayas river basin (Ecuador) based on macroinvertebrates indices , 2016 .

[42]  J. Tonkin,et al.  Disentangling environmental drivers of benthic invertebrate assemblages: The role of spatial scale and riverscape heterogeneity in a multiple stressor environment. , 2015, The Science of the total environment.

[43]  Steven Broekx,et al.  Evaluation and comparison of data-driven and knowledge-supported Bayesian Belief Networks to assess the habitat suitability for alien macroinvertebrates , 2015, Environ. Model. Softw..

[44]  R. Bilby,et al.  Stream Temperature Patterns over 35 Years in a Managed Forest of Western Washington , 2015 .

[45]  Jan Staes,et al.  A GIS plug-in for Bayesian belief networks: Towards a transparent software framework to assess and visualise uncertainties in ecosystem service mapping , 2015, Environ. Model. Softw..

[46]  P. Boets,et al.  Environmental Impact Assessment (EIA) of Effluents from Constructed Wetlands on Water Quality of Receiving Watercourses , 2015, Water, Air, & Soil Pollution.

[47]  Anne Lyche Solheim,et al.  Managing aquatic ecosystems and water resources under multiple stress--an introduction to the MARS project. , 2015, The Science of the total environment.

[48]  J. Shao,et al.  Parallel simulation of groundwater flow in the North China Plain , 2014, Journal of Earth Science.

[49]  K. Schilling,et al.  Effectiveness of natural riparian buffers to reduce subsurface nutrient losses to incised streams , 2014 .

[50]  Anthony J. Jakeman,et al.  Selecting among five common modelling approaches for integrated environmental assessment and management , 2013, Environ. Model. Softw..

[51]  Steven Broekx,et al.  A review of Bayesian belief networks in ecosystem service modelling , 2013, Environ. Model. Softw..

[52]  Daniel Müller,et al.  A framework for modeling payments for ecosystem services with agent-based models, Bayesian belief networks and opinion dynamics models , 2013, Environ. Model. Softw..

[53]  Max Kuhn,et al.  Applied Predictive Modeling , 2013 .

[54]  A. Lorenz,et al.  Upstream river morphology and riparian land use overrule local restoration effects on ecological status assessment , 2013, Hydrobiologia.

[55]  Á. Borja,et al.  Assessment and recovery of European water bodies: key messages from the WISER project , 2013, Hydrobiologia.

[56]  D. Hering,et al.  Effects of physico-chemistry, land use and hydromorphology on three riverine organism groups: a comparative analysis with monitoring data from Germany and Austria , 2013, Hydrobiologia.

[57]  G. Cundill,et al.  A review of assertions about the processes and outcomes of social learning in natural resource management. , 2012, Journal of environmental management.

[58]  A. Lorenz,et al.  Upstream river morphology and riparian land use overrule local restoration effects on ecological status assessment , 2012, Hydrobiologia.

[59]  R. Rodela.  Social Learning and Natural Resource Management: The Emergence of Three Research Perspectives , 2011 .

[60]  S. Džeroski,et al.  Using classification trees to analyze the impact of exotic species on the ecological assessment of polder lakes in Flanders, Belgium , 2011 .

[61]  Maya R. Gupta,et al.  Theory and Use of the EM Algorithm , 2011, Found. Trends Signal Process..

[62]  Rafael Rumí,et al.  Hybrid Bayesian network classifiers: Application to species distribution models , 2010, Environ. Model. Softw..

[63]  J. Newbold,et al.  Water Quality Functions of a 15‐Year‐Old Riparian Forest Buffer System 1 , 2010 .

[64]  吕一旭 Yixu Lu.  引言 (Introduction) , 2009, Provincial China.

[65]  Peter Goethals,et al.  Evaluation of river basin restoration options by the application of the Water Framework Directive Explorer in the Zwalm River basin (Flanders, Belgium) , 2009 .

[66]  M. Kelly-Quinn,et al.  Critical influence of seasonal sampling on the ecological quality assessment of small headwater streams , 2008, Hydrobiologia.

[67]  P. Jeffrey,et al.  A critical review of the theory and application of social learning in participatory natural resource management processes , 2008 .

[68]  Derek R. Armitage,et al.  Adaptive co-management and the paradox of learning , 2008 .

[69]  Pier Paolo Roggero,et al.  Combining social learning with agro-ecological research practice for more effective management of nitrate pollution , 2007 .

[70]  Andy P. Dedecker,et al.  Decision Tree Models for Prediction of Macroinvertebrate Taxa in the River Axios (Northern Greece) , 2007, Aquatic Ecology.

[71]  J. Vymazal.  Removal of nutrients in various types of constructed wetlands. , 2007, The Science of the total environment.

[72]  Adrian C. Newton,et al.  Bayesian Belief Networks as a tool for evidence-based conservation management , 2007 .

[73]  Laura Uusitalo,et al.  Advantages and challenges of Bayesian networks in environmental modelling , 2007 .

[74]  Sovan Lek,et al.  Applications of artificial neural networks predicting macroinvertebrates in freshwaters , 2007, Aquatic Ecology.

[75]  B. Marcot,et al.  Guidelines for developing and updating Bayesian belief networks applied to ecological modeling and conservation , 2006 .

[76]  C. Rewa,et al.  Aquatic Condition Response to Riparian Buffer Establishment , 2006 .

[77]  G. Vellidis,et al.  Stream buffer effectiveness in an agriculturally influenced area, southwestern Georgia: responses of water quality, macroinvertebrates, and amphibians. , 2006, Journal of environmental quality.

[78]  Claudia Pahl-Wostl,et al.  Transitions towards adaptive management of water facing climate and global change , 2006 .

[79]  Peter Goethals,et al.  River Monitoring and Assessment Methods Based on Macroinvertebrates , 2006 .

[80]  A. Viera,et al.  Understanding interobserver agreement: the kappa statistic. , 2005, Family medicine.

[81]  P. Zwick.  Key to the West Palaearctic genera of stoneflies (Plecoptera) in the larval stage , 2004 .

[82]  Brian J. Smith,et al.  Riparian buffers mitigate effects of pine plantation logging on New Zealand streams: 2. Invertebrate communities , 2004 .

[83]  Ronni Edmonds-Brown.  Keys to the case bearing caddis larvae of Britain and Ireland , 2004 .

[84]  H. Andrews.  Creating Significant Learning Experiences: An Integrated Approach to Designing College Courses , 2003 .

[85]  J. Zedler.  Wetlands at your service: reducing impacts of agriculture at the watershed scale , 2003 .

[86]  F. Fitzpatrick,et al.  EFFECTS OF MULTI‐SCALE ENVIRONMENTAL CHARACTERISTICS ON AGRICULTURAL STREAM BIOTA IN EASTERN WISCONSIN 1 , 2001 .

[87]  Brian J. Smith,et al.  Interactions of Adult Stoneflies (Plecoptera) with Riparian Zones I. Effects of Air Temperature and Humidity on Longevity , 2000 .

[88]  S. Daniels,et al.  Collaborative learning: Improving public deliberation in ecosystem-based management , 1996 .

[89]  G. Pinay,et al.  Structure and function of buffer strips from a water-quality perspective in agricultural landscapes , 1995 .

[90]  John D. Sterman,et al.  Learning in and about complex systems , 1994 .

[91]  Lillehammer.  Stoneflies (Plecoptera) of Fennoscandia and Denmark , 1988 .

[92]  C. Frissell,et al.  A hierarchical framework for stream habitat classification: Viewing streams in a watershed context , 1986 .

[93]  Jacob Cohen.  A Coefficient of Agreement for Nominal Scales , 1960 .

[94]  Peter Goethals,et al.  Towards understanding the role of islandness in shaping socio-ecological systems on SIDS: The socio-ecological islandscape concept , 2021, Ecol. Informatics.

[95]  Christoph Carl Kling.  Bayes Theorem , 2021, Encyclopedia of Evolutionary Psychological Science.

[96]  Sacha Gobeyn,et al.  Species distribution models for sustainable ecosystem management , 2015 .

[97]  Angela H. Arthington,et al.  Preserving the biodiversity and ecological services of rivers: new challenges and research opportunities: Preserving the biodiversity and ecological services of rivers , 2010 .

[98]  Brian P. Kennedy,et al.  Relationships between deforestation, riparian forest buffers and benthic macroinvertebrates in neotropical headwater streams , 2009 .

[99]  Richard K. Johnson,et al.  Linking organism groups – major results and conclusions from the STAR project , 2006, Hydrobiologia.

[100]  H. Di,et al.  Nitrate leaching in temperate agroecosystems: sources, factors and mitigating strategies , 2004, Nutrient Cycling in Agroecosystems.

[101]  Finn V. Jensen,et al.  Bayesian Networks and Decision Graphs , 2001, Statistics for Engineering and Information Science.

[102]  J. Cain.  Planning improvements in natural resource management. Guidelines for using Bayesian networks to support the planning and management of development programmes in the water sector and beyond , 2001 .

[103]  R. Grützner,et al.  Environmental modeling and simulation — applications and future requirements , 1996 .

[104]  A. Hildrew,et al.  A revised key to the caseless caddis larvae of the British Isles with notes on their ecology. , 1995 .

[105]  T. Vercauteren,et al.  Macro-invertebraten en waterkwaliteit: determineersleutels voor zoetwatermacro-invertebraten en methoden ter bepaling van de waterkwaliteit , 1991 .

[106]  M. T. Furse,et al.  The performance of a new biological water quality score system based on macroinvertebrates over a wide range of unpolluted running-water sites , 1983 .

[107]  P. Richoux.  Introduction pratique à la systématique des organismes des eaux continentales françaises. 2. Coléoptères aquatiques (genres : adultes et larves) (Suite) , 1982 .

[108]  P. Viette.  Tachet (H.), Bournaud (M.) & Richoux (Ph.), avec la collaboration de... Introduction à l'étude des Macroinvertébrés des eaux douces (Systématique élémentaire et aperçu écologique) , 1982 .

[109]  N. Gourbault,et al.  Introduction pratique à la systématique des organismes des eaux continentales françaises. 1 Turbellariés Triclades Paludicoles (planaires d'eau douce) , 1981 .

[110]  P. Hamilton,et al.  Bayesian Belief Network , 2022 .