The re-eutrophication of Lake Erie: Harmful algal blooms and hypoxia
Lake Erie supplies drinking water to more than 11 million consumers, processes millions of
gallons of wastewater, provides important species habitat and supports a substantial …
gallons of wastewater, provides important species habitat and supports a substantial …
Modelling eutrophication in lake ecosystems: a review
B Vinçon-Leite, C Casenave - Science of the Total Environment, 2019 - Elsevier
Eutrophication is one of the main causes of the degradation of lake ecosystems. Its
intensification during the last decades has led the stakeholders to seek for water …
intensification during the last decades has led the stakeholders to seek for water …
Correlation and process in species distribution models: bridging a dichotomy
Within the field of species distribution modelling an apparent dichotomy exists between
process‐based and correlative approaches, where the processes are explicit in the former …
process‐based and correlative approaches, where the processes are explicit in the former …
Challenges and opportunities for integrating lake ecosystem modelling approaches
A large number and wide variety of lake ecosystem models have been developed and
published during the past four decades. We identify two challenges for making further …
published during the past four decades. We identify two challenges for making further …
A system of metrics for the assessment and improvement of aquatic ecosystem models
In this paper, we introduce the CSPS framework for the hierarchical assessment of aquatic
ecosystem models built on a range of metrics and characteristic signatures relevant to …
ecosystem models built on a range of metrics and characteristic signatures relevant to …
Predicting the effects of climate change on trophic status of three morphologically varying lakes: Implications for lake restoration and management
To quantify the effects of a future climate on three morphologically different lakes that varied
in trophic status from oligo-mesotrophic to highly eutrophic, we applied the one-dimensional …
in trophic status from oligo-mesotrophic to highly eutrophic, we applied the one-dimensional …
Coastal marine eutrophication assessment: a review on data analysis
A wide variety of data analysis techniques have been applied for quantitative assessment of
coastal marine eutrophication. Indicators for assessing eutrophication and frequency …
coastal marine eutrophication. Indicators for assessing eutrophication and frequency …
Determining the probability of cyanobacterial blooms: the application of Bayesian networks in multiple lake systems
A Rigosi, P Hanson, DP Hamilton… - Ecological …, 2015 - Wiley Online Library
A Bayesian network model was developed to assess the combined influence of nutrient
conditions and climate on the occurrence of cyanobacterial blooms within lakes of diverse …
conditions and climate on the occurrence of cyanobacterial blooms within lakes of diverse …
Decoding river pollution trends and their landscape determinants in an ecologically fragile karst basin using a machine learning model
Karst watersheds accommodate high landscape complexity and are influenced by both
human-induced and natural activity, which affects the formation and process of runoff …
human-induced and natural activity, which affects the formation and process of runoff …
A survey of Bayesian calibration and physics-informed neural networks in scientific modeling
FAC Viana, AK Subramaniyan - Archives of Computational Methods in …, 2021 - Springer
Computer simulations are used to model of complex physical systems. Often, these models
represent the solutions (or at least approximations) to partial differential equations that are …
represent the solutions (or at least approximations) to partial differential equations that are …