Article
Environmental Sciences
Andrew Allan, Emily Barbour, Robert J. Nicholls, Craig Hutton, Michelle Lim, Mashfiqus Salehin, Md Munsur Rahman
Summary: Deltas are undergoing significant demographic, economic, and climate changes, particularly in Bangladesh where coastal regions face multiple climate risks. Identifying appropriate policy responses in these circumstances is extremely challenging. Through a participatory scenario development process and integrated assessment across multiple scales and sectors, a more credible foundation for planning can be established.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Review
Ecology
Felipe Franco-Gaviria, Monica Amador-Jimenez, Naomi Millner, Charlotte Durden, Dunia H. Urrego
Summary: This study provides a theoretical and conceptual framework to quantify the resilience of socio-ecological systems (SES) in a long-term context. The approach combines elements from interdisciplinarity and network perspectives, using dynamic Bayesian networks (DBN) to establish links between social and ecological variables and resilience attributes. The proposed DBN is tested in Monquentiva, Colombia, and the results show that social change and increased ecological diversity foster SES resilience. The ability to predict SES response over time and under complex interactions highlights the utility of DBNs for decision support and environmental management.
FRONTIERS IN FORESTS AND GLOBAL CHANGE
(2022)
Article
Green & Sustainable Science & Technology
Oguz Emir, Sule Onsel Ekici
Summary: In recent years, waste management has gained attention due to sustainability concerns and the depletion of natural resources. Food waste management is particularly important given the growing population and hunger crisis. Integrated assessment models (IAMs) have been commonly used to study food waste and provide insights to policymakers, while the Fuzzy Cognitive Map (FCM) extended with intuitionistic fuzzy sets offers a framework for analyzing interactions between factors and prioritizing policies.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Computer Science, Interdisciplinary Applications
Charlotte Esmeralda de Jong, Kasper Kok
Summary: This study shows that ambiguity significantly impacts SES representation in climate change adaptation. Current understanding of the influences of ambiguity on SES representation is limited, and more advanced methods are needed to handle and represent ambiguity in SES.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Green & Sustainable Science & Technology
Christopher W. H. Davis, Antonie J. Jetter, Philippe J. Giabbanelli
Summary: Creating "what-if" scenarios is important for decision-making, but it is a labor-intensive task. Previous research has shown that text mining can automate model building, and this paper proposes further automation by using pre-trained deep neural networks to extract models from conversations. The case study on electric vehicles demonstrates that this approach yields similar results to previous work and reduces the need for manual involvement in model building.
Article
Environmental Studies
Daniel C. Kenny, Juan Castilla-Rho
Summary: Regenerative agriculture can help align agricultural practices with the natural cycles and support systems of the earth. However, its adoption is not only dependent on understanding biophysical processes but also on overcoming deep-seated values and beliefs that hinder widespread transitions. In Australia, a Participatory Modelling exercise was conducted with RegenAg stakeholders to explore challenges and opportunities in alignment with landholders' perspectives. The exercise revealed key drivers for RegenAg, emphasizing the need for coordinated actions across institutional, social, and individual levels.
Article
Ecology
Dean E. Pearson, T. J. Clark-Wolf
Summary: The past 100 years of research in ecology have provided a wealth of knowledge on the interactions that shape ecological communities. However, we still struggle to predict community responses to disturbances, largely due to limitations in data availability and the complexities of ecological interactions. In this study, the authors propose the use of fuzzy interaction webs (FIW) to address these challenges. FIWs integrate quantitative and qualitative data to generate reasonably accurate qualitative predictions, which can be valuable in ecological modeling efforts. The authors present a case study to demonstrate the effectiveness of FIWs in estimating interaction strengths and predicting complex ecological outcomes. They argue that incorporating FIWs into ecological modeling could greatly advance the field of ecology.
Article
Ecology
Ryan Nel, Kevin F. Mearns, Maarten Jordaan, Peter Goethals
Summary: Small Island Developing States are significantly threatened by global change and unsustainable local practices, with their unique "islandness" characteristics shaping their socio-ecological systems and forming socioecological islandscapes. The study provides insights into how each unique characteristic of "islandness" impacts the system, highlighting the influence that "islandness" has on both the social and ecological components of a socio-ecological system.
ECOLOGICAL INFORMATICS
(2021)
Article
Computer Science, Artificial Intelligence
Konstantina Chrysafiadi, Spyros Papadimitriou, Maria Virvou
Summary: The use of educational games has gained popularity due to their ability to improve educational outcomes by adapting to the individual needs and knowledge levels of students. This study presents an educational adventure game that utilizes cognitive-based adaptivity to dynamically adapt its content and plot according to the student's cognitive state. The evaluation results demonstrate high acceptance and effectiveness of the game in improving educational outcomes.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Shruthi Dakey, Sameer Deshkar, Shreya Joshi, Vibhas Sukhwani
Summary: This paper addresses the strengthening of disaster risk governance in coastal regions from a Socio-Ecological System (SES) perspective, which is the second priority of the Sendai Framework on Disaster Risk Reduction (SFDRR). The study identifies the drivers of risk and critical linkages between key components of coastal SESs that can affect coastal regions' resilience. By analyzing fuzzy cognitive maps (FCM) created through focus group discussions, the study identifies saltwater intrusion as a significant system component. The research also analyzes the effectiveness of existing governance strategies and their impact on critical components of SES, providing valuable input for policymakers in coastal regions.
Article
Environmental Sciences
Cara Steger, Randall B. Boone, Bikila Warkineh Dullo, Paul Evangelista, Shambel Alemu, Kflay Gebrehiwot, Julia A. Klein
Summary: This study co-designed an agent-based model to explore the drivers of shrub encroachment in an African alpine grassland and tested management actions. Due to limited data, the model was parameterized using literature, remote sensing, and expert opinion. Three scenarios were evaluated, revealing the impact of precipitation regimes, grass harvest frequency, and combined grass harvest and shrub removal on shrub encroachment. The study highlights the importance of traditional ecological management and the need for more understanding of changing climatic regimes.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Computer Science, Artificial Intelligence
Istvan A. Harmati, Miklos F. Hatwagner, Laszlo T. Koczy
Summary: Fuzzy cognitive maps are an effective modeling tool for complex systems. Global stability is not always essential, as multiple fixed points are preferred in many applications.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Agronomy
Nadine Andrieu, Genowefa Blundo-Canto, Eduardo Chia, Jean Louis Diman, Patrick Dugue, Audrey Fanchone, Fanny Howland, Salome Ott, Celia Poulayer
Summary: In Guadeloupe, civil society is calling for an agroecological transition to obtain access to healthy agricultural products following an ecological scandal caused by pesticide contamination. To support this transition, researchers tested a five-step methodological framework that enables farmers to describe and explore scenarios in farming systems, socio-technical systems, and social-ecological systems. This study highlights the gradual and multiscale nature of the agroecological transition, which involves co-creating knowledge, technical solutions, and organizational changes.
AGRONOMY FOR SUSTAINABLE DEVELOPMENT
(2022)
Article
Environmental Sciences
Cristina Galvan, Araceli Puente, Jose A. Juanes
Summary: This study identified ecotopes and anthrotopes in an estuary using a hierarchical approach that integrated information about abiotic and biologically meaningful variables, estimating the potential impacts of human pressures on species and providing flexible tools for conservation and research.
FRONTIERS IN MARINE SCIENCE
(2021)
Article
Environmental Studies
L. Pelage, A. Bertrand, S. C. W. Siqueira, A. C. A. P. Araujo, K. V. A. Avelino, C. Lopes da Silva, T. Fredoua
Summary: Global change has a significant impact on small-scale fisheries in Brazil, and acquiring local user knowledge is crucial for enhancing their sustainability. In Rio Formoso, a fisher's association plays a vital role in conserving coastal ecosystems and raising awareness about anthropogenic activities. This study examines fishers' perceptions of global change and highlights the threats and social challenges they face.
Article
Environmental Sciences
Melissa A. Kenney, Anthony C. Janetos, Michael D. Gerst
Article
Environmental Sciences
Sarahi Nunez, Rob Alkemade, Kasper Kok, Rik Leemans
REGIONAL ENVIRONMENTAL CHANGE
(2020)
Article
Environmental Sciences
Sarahi Nunez, Rob Alkemade, Kasper Kok, Rik Leemans
REGIONAL ENVIRONMENTAL CHANGE
(2020)
Review
Environmental Sciences
Sondoss Elsawah, Serena H. Hamilton, Anthony J. Jakeman, Dale Rothman, Vanessa Schweizer, Evelina Trutnevyte, Henrik Carlsen, Crystal Drakes, Bob Frame, Baihua Fu, Celine Guivarch, Marjolijn Haasnoot, Eric Kemp-Benedict, Kasper Kok, Hannah Kosow, Mike Ryan, Hedwig van Delden
SCIENCE OF THE TOTAL ENVIRONMENT
(2020)
Editorial Material
Dermatology
L. Steele, S. Jeetle, K. Kok, M. Cunningham, P. Goldsmith
CLINICAL AND EXPERIMENTAL DERMATOLOGY
(2021)
Article
Environmental Sciences
Brian C. O'Neill, Timothy R. Carter, Kristie Ebi, Paula A. Harrison, Eric Kemp-Benedict, Kasper Kok, Elmar Kriegler, Benjamin L. Preston, Keywan Riahi, Jana Sillmann, Bas J. van Ruijven, Detlef van Vuuren, David Carlisle, Cecilia Conde, Jan Fuglestvedt, Carole Green, Tomoko Hasegawa, Julia Leininger, Seth Monteith, Ramon Pichs-Madruga
NATURE CLIMATE CHANGE
(2020)
Article
Environmental Sciences
Lori Bruhwiler, Sourish Basu, James H. Butler, Abhishek Chatterjee, Ed Dlugokencky, Melissa A. Kenney, Allison McComiskey, Stephen A. Montzka, Diane Stanitski
Summary: Humans have altered the Earth's climate system by extracting and burning fossil fuels, changing the biosphere, and using halocarbons. The development of a system of long-term data indicators for climate and global change is needed to support assessments. This includes identifying key atmospheric indicators for changes in radiative forcing due to GHGs and evaluating atmospheric composition measurements for use in climate change assessments.
Article
Meteorology & Atmospheric Sciences
Melissa A. Kenney, Michael D. Gerst
Summary: Assessing adaptation requires comprehensive consideration of various indicators, but in practice, navigating through a large amount of information and selecting the most relevant indicators is necessary. To enhance the resilience of a region, key factors such as regional impacts, climate hazards, and adaptive capacity need to be taken into account.
CURRENT CLIMATE CHANGE REPORTS
(2021)
Article
Environmental Sciences
Michael D. Gerst, Melissa A. Kenney, Irina Feygina
Summary: This study explores the use of diagnostic visualization guidelines to enhance the communication of climate indicators. The findings suggest that simplifying design modifications can have a positive impact on understanding, ease of understanding, and liking of climate graphics. Better designs improved understanding similarly for individuals with different levels of numeracy, and design modifications effectively improved understanding across various climate attitudes and ideological spectrum.
Article
Computer Science, Interdisciplinary Applications
Charlotte Esmeralda de Jong, Kasper Kok
Summary: This study shows that ambiguity significantly impacts SES representation in climate change adaptation. Current understanding of the influences of ambiguity on SES representation is limited, and more advanced methods are needed to handle and represent ambiguity in SES.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Editorial Material
Engineering, Environmental
Melissa A. A. Kenney, Michael D. D. Gerst, Emily Read
Summary: The open data movement is a major advancement in water management, requiring data to be findable, accessible, interoperable, and reusable. However, there is a lack of accessibility and usability case studies and guidelines for water resources decision making. This commentary highlights knowledge gaps and discusses a general usability testing method that can be applied to any water resources decision support product.
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION
(2023)
Article
Environmental Sciences
Hermine Mitter, Anja-K Techen, Franz Sinabell, Katharina Helming, Erwin Schmid, Benjamin L. Bodirsky, Ian Holman, Kasper Kok, Heikki Lehtonen, Adrian Leip, Chantal Le Mouel, Erik Mathijs, Bano Mehdi, Klaus Mittenzwei, Olivier Mora, Knut Oistad, Lillian Oygarden, Joerg A. Priess, Pytrik Reidsma, Ruediger Schaldach, Martin Schoenhart
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
(2020)
Article
Environmental Sciences
Jake F. Weltzin, Julio L. Betancourt, Benjamin I. Cook, Theresa M. Crimmins, Carolyn A. F. Enquist, Michael D. Gerst, John E. Gross, Geoffrey M. Henebry, Rebecca A. Hufft, Melissa A. Kenney, John S. Kimball, Bradley C. Reed, Steven W. Running
Article
Environmental Studies
Grace D. Molino, Melissa A. Kenney, Ariana E. Sutton-Grier
Article
Business
Michael D. Gerst, Melissa A. Kenney, Brett E. Howard, Robert J. Giraud
BUSINESS STRATEGY AND THE ENVIRONMENT
(2020)
Article
Computer Science, Interdisciplinary Applications
Jeffrey Wade, Christa Kelleher, Barret L. Kurylyk
Summary: This study developed a physically-based water temperature model coupled with the National Water Model (NWM) to assess the potential for water temperature prediction to be incorporated into the NWM at the continental scale. By evaluating different model configurations of increasing complexity, the study successfully simulated hourly water temperatures in the forested headwaters of H.J. Andrews Experimental Forest in Oregon, USA, providing a basis for integrating water temperature simulation with predictions from the NWM.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Shaun SH. Kim, Lucy A. Marshall, Justin D. Hughes, Lynn Seo, Julien Lerat, Ashish Sharma, Jai Vaze
Summary: A major challenge in hydrologic modelling is producing reliable uncertainty estimates outside of calibration periods. This research addresses the challenge by improving model structures and error models to more reliably estimate uncertainty. The combination of the RBS model and SPUE produces statistically reliable predictions and shows better matching performance in tests.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Juan Pedro Carbonell-Rivera, Javier Estornell, Luis Angel Ruiz, Pablo Crespo-Peremarch, Jaime Almonacid-Caballer
Summary: This study presents Class3Dp, a software for classifying vegetation species in colored point clouds. The software utilizes geometric, spectral, and neighborhood features along with machine learning methods to classify the point cloud, allowing for the recognition of species composition in an ecosystem.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhi Li, Daniel Caviedes-Voullieme, Ilhan Oezgen-Xian, Simin Jiang, Na Zheng
Summary: The optimal strategy for solving the Richards equation numerically depends on the specific problem, particularly when using GPUs. This study investigates the parallel performance of four numerical schemes on both CPUs and GPUs. The results show that the scaling of Richards solvers on GPUs is influenced by various factors. Compared to CPUs, parallel simulations on GPUs exhibit significant variation in scaling across different code sections, with poorly-scaled components potentially impacting overall performance. Nonetheless, using GPUs can greatly enhance computational speed, especially for large-scale problems.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Ludovic Cassan, Leo Pujol, Paul Lonca, Romain Guibert, Helene Roux, Olivier Mercier, Dominique Courret, Sylvain Richard, Pierre Horgue
Summary: Methods and algorithms for measuring stream surface velocities have been continuously developed over the past five years to adapt to specific flow typologies. The free software ANDROMEDE allows easy use and comparison of these methods with image processing capabilities designed for measurements in natural environments and with unmanned aerial vehicles. The validation of the integrated algorithms is presented on three case studies that represent the targeted applications: the study of currents for eco-hydraulics, the measurement of low water flows and the diagnosis of hydraulic structures. The field measurements are in very good agreement with the optical measurements and demonstrate the usefulness of the tool for rapid flow diagnosis for all the intended applications.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Mariia Kozlova, Robert J. Moss, Julian Scott Yeomans, Jef Caers
Summary: This paper introduces a framework for quantitative sensitivity analysis using the SimDec visualization method, and tests its effectiveness on decision-making problems. The framework captures critical information in the presence of heterogeneous effects, and enhances its practicality by introducing a formal definition and classification of heterogeneous effects.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Chad R. Palmer, Denis Valle, Edward V. Camp, Wendy-Lin Bartels, Martha C. Monroe
Summary: Simulation games have been used in natural resource management for education and communication purposes, but not for data collection. This research introduces a new design process which involves stakeholders and emphasizes usability, relevance, and credibility testing criteria. The result is a finalized simulation game for future research.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Tao Wang, Chenming Zhang, Ye Ma, Harald Hofmann, Congrui Li, Zicheng Zhao
Summary: This study used numerical modeling to investigate the formation process of iron curtains under different freshwater and seawater conditions. It was found that Fe(OH)3 accumulates on the freshwater side, while the precipitation is inhibited on the seaward side due to high H+ concentrations. These findings enhance our understanding of iron transformation and distribution in subterranean estuaries.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Grant Hutchings, James Gattiker, Braden Scherting, Rodman R. Linn
Summary: Computational models for understanding and predicting fire in wildland and managed lands are becoming increasingly impactful. This paper addresses the characterization and population of mid-story fuels, which are not easily observable through traditional survey or remote sensing. The authors present a methodology to populate the mid-story using a generative model for fuel placement, which can be calibrated based on limited observation datasets or expert guidance. The connection of terrestrial LiDAR as the observations used to calibrate the generative model is emphasized. Code for the methods in this paper is provided.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Saswata Nandi, Pratiman Patel, Sabyasachi Swain
Summary: IMDLIB is an open-source Python library that simplifies the retrieval and processing of gridded meteorological data from IMD, enhancing data accessibility and facilitating hydro-climatic research and analysis.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Pengfei Wu, Jintao Liu, Meiyan Feng, Hu Liu
Summary: In this paper, a new flow distance algorithm called D infinity-TLI is proposed, which accurately estimates flow distance and width function using a two-segment-distance strategy and triangulation with linear interpolation method. The evaluation results show that D infinity-TLI outperforms existing algorithms and has a low mean absolute relative error.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)