Article
Ecology
Matteo Coronese, Martina Occelli, Francesco Lamperti, Andrea Roventini
Summary: This paper presents a dynamic agent-based model of land use and agricultural production under environmental boundaries, finite available resources and endogenous technical change. The model examines the interactions between bounded-rational agents in a smallholder farming system, and how these interactions shape agricultural productivity, food production, and land use. The model also considers different scenarios such as deforestation, land abandonment, soil degradation, and climate impacts to study the emergence of different agricultural production regimes.
ECOLOGICAL ECONOMICS
(2023)
Article
Biodiversity Conservation
Lucas A. Garibaldi, Paula F. Zermoglio, Esteban G. Jobbagy, Lucas Andreoni, Alejo Ortiz de Urbina, Ingo Grass, Facundo J. Oddi
Summary: This article discusses guidelines for transitioning to multifunctional landscapes and proposes an iterative process for designing these landscapes. It emphasizes the importance of restoring natural habitats and creating biological corridors, as well as redesigning field size and configuration. The authors argue that multifunctional landscapes will play a critical role in achieving global biodiversity targets and moving towards net-zero emissions.
JOURNAL OF APPLIED ECOLOGY
(2023)
Article
Environmental Sciences
C. Brown, B. Seo, P. Alexander, V Burton, E. A. Chacon-Montalvan, R. Dunford, M. Merkle, P. A. Harrison, R. Prestele, E. L. Robinson, M. Rounsevell
Summary: This study uses a globally-embedded agent-based modeling framework to represent a set of stakeholder-elaborated UK-SSP scenarios, linked to climate change scenarios. The study finds that different model designs are needed to account for divergent conditions in the SSPs, which have dramatic impacts on land system outcomes. Changes in social and human capitals can have impacts comparable to those of modeled climate change. The study also provides UK-SSP projections to 2080, revealing large differences in land management intensities and ecosystem services provision.
Article
Green & Sustainable Science & Technology
Fernando P. Santos, Jorge M. Pacheco, Francisco C. Santos, Simon A. Levin
Summary: Collective index insurance combined with informal within-group transfers can help low-income farmers alleviate poverty exacerbated by extreme weather.
NATURE SUSTAINABILITY
(2021)
Article
Geosciences, Multidisciplinary
Jens A. de Bruijn, Mikhail Smilovic, Peter Burek, Luca Guillaumot, Yoshihide Wada, Jeroen C. J. H. Aerts
Summary: Humans have a significant impact on the hydrological system due to their water extraction activities for irrigation, leading to water stress and ecosystem degradation. However, these issues can be mitigated by implementing large-scale adaptation measures, such as constructing irrigation reservoirs. It is crucial to consider human behavior and feedback to fully understand the evolution of the human-natural water system and identify suitable interventions to reduce water stress.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2023)
Article
Agriculture, Dairy & Animal Science
John Derek Scasta, Timm Gergeni, Kristie Maczko, John Tanaka, Steve Paisley
Summary: Grazing management plays a critical role in both animal performance and land sustainability. Linear stocking rate models are not suitable for rangeland environments due to complexities like drought. A study conducted in Wyoming, USA, showed that planned and realized stocking rates for grazing treatments were highly correlated with effective precipitation. Adaptation of stocking rates based on annual visual obstruction readings may be useful for more intense grazing management.
Article
Green & Sustainable Science & Technology
Adriano Vinca, Simon Parkinson, Keywan Riahi, Edward Byers, Afreen Siddiqi, Abubakr Muhammad, Ansir Ilyas, Nithiyanandam Yogeswaran, Barbara Willaarts, Piotr Magnuszewski, Muhammad Awais, Andrew Rowe, Ned Djilali
Summary: The study highlights the water stress and energy insecurity in the Indus river basin in South Asia, emphasizing the importance of transboundary cooperation for more cost-effective and environmentally friendly development. By collaborating on water resources, electricity, and food production, the countries in the region could lower costs, reduce soil pollution, and mitigate water scarcity issues.
NATURE SUSTAINABILITY
(2021)
Article
Agronomy
Md Nurul Amin, Lisa Lobry de Bruyn, Andrew Lawson, Brian Wilson, Md Sarwar Hossain
Summary: This study investigated soil carbon management practices in two farming cohorts, with low and moderate soil fertility, in a rotational grazing regime in Australia. Farmers in both cohorts were determined to continue their grazing regime due to multifaceted benefits and whole-farm sustainability. The focus was on agri-environmental benefits of soil carbon management practices rather than solely increasing soil carbon. Farmers in low-fertility farms also emphasized mental health and landscape esthetics as outcomes of soil carbon management.
AGRONOMY FOR SUSTAINABLE DEVELOPMENT
(2023)
Article
Environmental Sciences
C. M. Thornton, A. E. Elledge
Summary: Extensive grazing practices in the Fitzroy Basin lead to loss of sediment and nutrients in runoff, contributing to the deteriorating health of the Great Barrier Reef. Heavy grazing of rundown grass pastures results in significantly more bare ground, lower pasture biomass, higher runoff volumes, and greater nutrient loads in runoff compared to conservative grazing practices.
MARINE POLLUTION BULLETIN
(2021)
Article
Environmental Sciences
Tim G. Williams, Daniel G. Brown, Arun Agrawal, Seth D. Guikema
Summary: Large-scale land acquisitions can facilitate agricultural intensification in low- and middle-income countries, but often lead to the dispossession of smallholders, resulting in tradeoffs between market-oriented production and smallholder livelihoods. Contract farming is an effective means to reorient LSLAs to support smallholder land rights and food security more effectively.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Multidisciplinary Sciences
Nelson Villoria, Rachael Garrett, Florian Gollnow, Kimberly Carlson
Summary: Zero-deforestation supply chain policies can reduce forest clearing, but leakage may dilute their global effectiveness. This study finds that domestic leakage offsets a significant portion of the avoided deforestation induced by zero-deforestation supply chain policies in Brazil's soy sector. However, cross-border leakage is insignificant as soybean production is displaced to the United States.
NATURE COMMUNICATIONS
(2022)
Article
Environmental Sciences
Richard D. Robertson, Alessandro De Pinto, Nicola Cenacchi
Summary: The geographic distribution of natural ecosystems is influenced by climate and cropland. While discussions on future land use often focus on the expansion of cropland and its displacement of natural vegetation under climate change, the direct influence of climate change on natural ecosystems is rarely considered. This study finds that climate change has a larger impact on natural ecosystems compared to cropland incursion globally, highlighting the importance of considering the effects of a changing climate on natural vegetation and agriculture in policymaking to preserve natural ecosystems in the long term.
Article
Forestry
Fuxing Guo, Yanping Wang, Fuyong Wu
Summary: The study predicted and repaired soil dry layers in alfalfa and apple systems based on the EPIC model, showing more severe soil drought in alfalfa systems and significantly higher recovery effect in conservation agriculture compared to conventional tillage systems.
Article
Agriculture, Multidisciplinary
Andrea Tassi, Andrea Massetti, Artur Gil
Summary: Monitoring multifunctional agricultural areas is crucial for effective management. This paper presents a Python application for monitoring LCLU changes in these areas based on the RaoQ diversity index. The workflow involves data processing, NDVI calculation, RaoQ calculation, and detection and mapping of LCLU changes. Three methodological approaches were developed and achieved high overall accuracies. An example of agri-environmental monitoring decision-support framework is also provided.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Mathematics, Interdisciplinary Applications
Mario A. Bertella, Jonathas N. Silva, Andre L. Correa, Didier Sornette
Summary: This study investigates the influence of investors' confidence in their portfolio holding relative to their social group and of various social network topologies on the dynamics of an artificial stock exchange. The findings suggest that network topologies impact the structuration of investors in the space of strategies and their performance, with different types of networks exhibiting different characteristics.
Book Review
Computer Science, Information Systems
S. M. Manson
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2015)
Article
Green & Sustainable Science & Technology
B. L. Turner, J. Geoghegan, D. Lawrence, C. Radel, B. Schmook, C. Vance, S. Manson, E. Keys, D. Foster, P. Klepeis, H. Vester, J. Rogan, R. Roy Chowdhury, L. Schneider, R. Dickson, Y. Ogenva-Himmelberger
CURRENT OPINION IN ENVIRONMENTAL SUSTAINABILITY
(2016)
Article
Public, Environmental & Occupational Health
P. Y. Iroh Tam, B. Krzyzanowski, J. M. Oakes, L. Kne, S. Manson
EPIDEMIOLOGY AND INFECTION
(2017)
Article
Medicine, Research & Experimental
Brittany Krzyzanowski, Steven M. Manson, Milton Mickey Eder, Len Kne, Niki Oldenburg, Kevin Peterson, Alan T. Hirsch, Russell V. Luepker, Sue Duval
Article
Computer Science, Information Systems
Bryan C. Runck, Steven Manson, Eric Shook, Maria Gini, Nicholas Jordan
Article
Multidisciplinary Sciences
Di Zhu, Xinyue Ye, Steven Manson
Summary: We describe the use of network modeling to capture the shifting spatiotemporal nature of the COVID-19 pandemic. The study utilizes network optimization to analyze the spatial shifting pattern of pandemic centers over time in the mainland United States.
SCIENTIFIC REPORTS
(2021)
Article
Geography
Brittany Krzyzanowski, Steven Manson
Summary: This article addresses the challenge of sharing finer scale protected health information (PHI) while maintaining patient privacy by using regionalization to create higher resolution Health Insurance Portability and Accountability Act (HIPAA)-compliant geographical aggregations. We compare four regionalization approaches and recommend REDCAP and the SOM variant of max-p-regions (MSOM) as the preferred methods.
ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS
(2022)
Article
Medical Informatics
Brittany Krzyzanowski, Steven M. Manson
Summary: The Health Insurance Portability and Accountability Act (HIPAA) has played a crucial role in protecting patient data privacy. However, the specific provisions related to geographic data in HIPAA are still unclear, which hinders the use and sharing of spatial health data by epidemiologists and geographers. This has led to various interpretations and misunderstandings, resulting in overly conservative data sharing practices or potential risks to patient data. To promote better understanding and adherence to the safe harbor rule, this paper provides a comprehensive review of the HIPAA law and offers straightforward guidance to scholars, focusing on the confusion surrounding the 20,000-person population threshold and the 3-digit zip code stipulation.
JMIR MEDICAL INFORMATICS
(2022)
Article
Social Sciences, Interdisciplinary
Steven Manson, Li An, Keith C. Clarke, Alison Heppenstall, Jennifer Koch, Brittany Krzyzanowski, Fraser Morgan, David O'Sullivan, Bryan C. Runck, Eric Shook, Leigh Tesfatsion
JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION
(2020)
Proceedings Paper
Computer Science, Information Systems
David Haynes, Suprio Ray, Steven Manson
ADVANCES IN GEOCOMPUTATION
(2017)
Article
Geography
David Haynes, Steve Manson, Eric Shook
TRANSACTIONS IN GIS
(2017)
Article
Computer Science, Interdisciplinary Applications
Tracy A. Kugler, Steven M. Manson, Joshua R. Donato
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2017)
Article
Geography
David Haynes, Alex Jokela, Steven Manson
JOURNAL OF GEOGRAPHICAL SYSTEMS
(2018)
Article
Agriculture, Multidisciplinary
David O'Sullivan, Tom Evans, Steven Manson, Sara Metcalf, Arika Ligmann-Zielinska, Chris Bone
JOURNAL OF LAND USE SCIENCE
(2016)
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)