Toward a complete interdisciplinary treatment of scale

The pathways taken throughout any model-based process are undoubtedly influenced by the modeling team involved and the decision choices they make. For interconnected socioenvironmental systems (SES), such teams are increasingly interdisciplinary to enable a more expansive and holistic treatment that captures the purpose, the relevant disciplines and sectors, and other contextual settings. In practice, such interdisciplinarity increases the scope of what is considered, thereby increasing choices around model complexity and their effects on uncertainty. Nonetheless, the consideration of scale issues is one critical lens through which to view and question decision choices in the modeling cycle. But separation between team members, both geographically and by discipline, can make the scales involved more arduous to conceptualize, discuss, and treat. In this article, the practices, decisions, and workflow that influence the consideration of scale in SESs modeling are explored through reflexive accounts of two case studies. Through this process and an appreciation of past literature, we draw out several lessons under the following themes: (1) the fostering of collaborative learning and reflection, (2) documenting and justifying the rationale for modeling scale choices, some of which can be equally plausible (a perfect model is not possible), (3) acknowledging that causality is defined subjectively, (4) embracing change and reflection throughout the iterative modeling cycle, and (5) regularly testing the model integration to draw out issues that would otherwise be unnoticeable.

[1]  Hsiao‐Hsuan Wang,et al.  Visceral Leishmaniasis on the Indian Subcontinent: Modelling the Dynamic Relationship between Vector Control Schemes and Vector Life Cycles , 2016, PLoS neglected tropical diseases.

[2]  Patricia A. McKay,et al.  Records of engagement and decision making for environmental and socio-ecological challenges , 2019, EURO Journal on Decision Processes.

[3]  Tuomas J. Lahtinen,et al.  Why pay attention to paths in the practice of environmental modelling? , 2017, Environ. Model. Softw..

[4]  R. Nathan,et al.  Modeling Flow-Ecology Responses in the Anthropocene: Challenges for Sustainable Riverine Management , 2019, BioScience.

[5]  Jeroen P. van der Sluijs,et al.  A framework for dealing with uncertainty due to model structure error , 2004 .

[6]  Carl D. Shapiro,et al.  From data to decisions: Processing information, biases, and beliefs for improved management of natural resources and environments , 2017 .

[7]  J. Klein,et al.  Analyzing interdisciplinarity: Typology and indicators , 2010 .

[8]  Joseph H. A. Guillaume,et al.  Integrated assessment and modelling: Overview and synthesis of salient dimensions , 2015, Environ. Model. Softw..

[9]  Beverley G. Hope,et al.  Author's Personal Copy the Journal of Systems and Software Coordination in Co-located Agile Software Development Projects , 2022 .

[10]  L. Finlay “Outing” the Researcher: The Provenance, Process, and Practice of Reflexivity , 2002, Qualitative health research.

[11]  Anthony J. Jakeman,et al.  Position paper: Sensitivity analysis of spatially distributed environmental models- a pragmatic framework for the exploration of uncertainty sources , 2020, Environ. Model. Softw..

[12]  R. Nathan,et al.  Climate change and freshwater ecology: Hydrological and ecological methods of comparable complexity are needed to predict risk , 2020, WIREs Climate Change.

[13]  Carly M. Maynard,et al.  A transdisciplinary account of water research , 2016, WIREs. Water.

[14]  John K. Westbrook,et al.  Integrating Models of Atmospheric Dispersion and Crop-Pest Dynamics: Linking Detection of Local Aphid Infestations to Forecasts of Region-Wide Invasion of Cereal Crops , 2020, Annals of the Entomological Society of America.

[15]  Joseph H. A. Guillaume,et al.  Property-based Sensitivity Analysis: An approach to identify model implementation and integration errors , 2021, Environ. Model. Softw..

[16]  Steven F. Railsback,et al.  Individual-based modeling and ecology , 2005 .

[17]  N. J. V. Rensburg Notes on the occurrence and biology of the sorghum aphid in South Africa. , 1973 .

[18]  C. Dreu The virtue and vice of workplace conflict: food for (pessimistic) thought , 2008 .

[19]  Hsiao‐Hsuan Wang,et al.  Modeling rangelands as spatially-explicit complex adaptive systems. , 2020, Journal of environmental management.

[20]  Peter A. Vanrolleghem,et al.  Uncertainty in the environmental modelling process - A framework and guidance , 2007, Environ. Model. Softw..

[21]  Sander Janssen,et al.  Evaluating OpenMI as a model integration platform across disciplines , 2013, Environ. Model. Softw..

[22]  Anthony J. Jakeman,et al.  A formative and self-reflective approach to monitoring and evaluation of interdisciplinary team research: An integrated water resource modelling application in Australia , 2021 .

[23]  A. Woolley,et al.  What makes a team smarter? More women. , 2011, Harvard business review.

[24]  Michiru Nagatsu,et al.  What does interdisciplinarity look like in practice: Mapping interdisciplinarity and its limits in the environmental sciences. , 2018, Studies in history and philosophy of science.

[25]  Hartmut Fünfgeld,et al.  Toward reflexive climate adaptation research , 2015 .

[26]  R. Levins The strategy of model building in population biology , 1966 .

[27]  Daniel Stokols,et al.  A four-phase model of transdisciplinary team-based research: goals, team processes, and strategies , 2012, Translational behavioral medicine.

[28]  B. Croke,et al.  Overcoming the challenges of using a rainfall–runoff model to estimate the impacts of groundwater extraction on low flows in an ephemeral stream , 2014 .

[29]  Lucas Gren,et al.  The importance of conflict resolution techniques in autonomous agile teams , 2018, XP Companion.

[30]  Joseph H. A. Guillaume,et al.  From ad-hoc modelling to strategic infrastructure: A manifesto for model management , 2020, Environ. Model. Softw..

[31]  R. Draxler,et al.  NOAA’s HYSPLIT Atmospheric Transport and Dispersion Modeling System , 2015 .

[32]  Hsiao-Hsuan Wang,et al.  Collaborative Modeling and Social Learning in the Context of Joint Forest Management in East Sikkim, India , 2019, Front. Environ. Sci..

[33]  Christopher Hutton,et al.  Most computational hydrology is not reproducible, so is it really science? , 2016, Water Resources Research.

[34]  Alan Edelman,et al.  Julia: A Fresh Approach to Numerical Computing , 2014, SIAM Rev..

[35]  J. Gareth Polhill,et al.  The ODD protocol: A review and first update , 2010, Ecological Modelling.

[36]  Michael J. Brewer,et al.  Sugarcane Aphid (Hemiptera: Aphididae): A New Pest on Sorghum in North America , 2016, Journal of integrated pest management.

[37]  Uncertainty assessment of spatial-scale groundwater recharge estimated from unsaturated flow modelling , 2018, Hydrogeology Journal.

[38]  Enric Senabre Hidalgo Adapting the scrum framework for agile project management in science: case study of a distributed research initiative , 2019, Heliyon.

[39]  Hajnalka Vaagen,et al.  Team Collective Intelligence in Dynamically Complex Projects—A Shipbuilding Case , 2020 .

[40]  A. Beurskens,et al.  Development of a Customizable Programme for Improving Interprofessional Team Meetings: An Action Research Approach , 2018, International journal of integrated care.

[41]  Peter Reichert,et al.  Towards a comprehensive uncertainty assessment in environmental research and decision support. , 2020, Water science and technology : a journal of the International Association on Water Pollution Research.

[42]  Jim W. Hall,et al.  Sensitivity analysis of environmental models: A systematic review with practical workflow , 2014, Environ. Model. Softw..

[43]  S. Funtowicz,et al.  The technique is never neutral. How methodological choices condition the generation of narratives for sustainability , 2020, Environmental Science & Policy.

[44]  Takuya Iwanaga,et al.  Worth of hydraulic and water chemistry observation data in terms of the reliability of surface water-groundwater exchange flux predictions under varied flow conditions , 2020, Journal of Hydrology.

[45]  C. Wyborn,et al.  The need for improved reflexivity in conservation science , 2020, Environmental Conservation.

[46]  M. R. Evans,et al.  Modelling ecological systems in a changing world , 2012, Philosophical Transactions of the Royal Society B: Biological Sciences.

[47]  Preliminary assessment of conjunctive use opportunities in the Murray-Darling Basin: A case study in the lower Campaspe catchment , 2017 .

[48]  Eduardo Salas,et al.  Foundations of Teamwork and Collaboration , 2018, The American psychologist.

[49]  Mike Yearworth,et al.  32nd International Conference of the System Dynamics Society , 2014 .

[50]  M.J.R. Knapen,et al.  An IT perspective on integrated environmental modelling: The SIAT case , 2010 .

[51]  N. Seetharama,et al.  Biology and management of the sugarcane aphid, Melanaphis sacchari (Zehntner) (Homoptera: Aphididae), in sorghum: a review , 2004 .

[52]  Birgit Müller,et al.  A standard protocol for describing individual-based and agent-based models , 2006 .

[53]  Uta Berger,et al.  Keeping modelling notebooks with TRACE: Good for you and good for environmental research and management support , 2021, Environ. Model. Softw..

[54]  Winfried Kurth,et al.  Facilitating Parameter Estimation and Sensitivity Analysis of Agent-Based Models: A Cookbook Using NetLogo and 'R' , 2014, J. Artif. Soc. Soc. Simul..

[55]  Edwin A. Locke,et al.  The Relationship of Team Goals, Incentives, and Efficacy to Strategic Risk, Tactical Implementation, and Performance , 2001 .

[56]  Paula A. Harrison,et al.  Exploring scenario and model uncertainty in cross-sectoral integrated assessment approaches to climate change impacts , 2014, Climatic Change.

[57]  John K. Westbrook,et al.  Toward near-real-time forecasts of airborne crop pests: Aphid invasions of cereal grains in North America , 2020, Comput. Electron. Agric..

[58]  Silvio Funtowicz,et al.  What is science’s crisis really about? , 2017 .

[59]  Michael J. Brewer,et al.  History and Ecological Basis for Areawide Pest Management , 2008 .

[60]  Alexey A. Voinov,et al.  'Integronsters', integral and integrated modeling , 2013, Environ. Model. Softw..

[61]  Bruce Edmonds,et al.  The ODD Protocol for Describing Agent-Based and Other Simulation Models: A Second Update to Improve Clarity, Replication, and Structural Realism , 2020, J. Artif. Soc. Soc. Simul..

[62]  Joseph H. A. Guillaume,et al.  Marrying Hydrological Modelling and Integrated Assessment for the needs of Water Resource Management , 2014 .

[63]  Marten Scheffer,et al.  Super-individuals a simple solution for modelling large populations on an individual basis , 1995 .

[64]  G. Bolton,et al.  Reflective Practice: Writing and Professional Development , 2001 .

[65]  Anthony J. Jakeman,et al.  A tiered, system-of-systems modeling framework for resolving complex socio-environmental policy issues , 2019, Environ. Model. Softw..

[66]  S. Lavorel,et al.  Researchers must be aware of their roles at the interface of ecosystem services science and policy , 2018, Ambio.

[67]  Jim W. Hall,et al.  Sensitivity analysis of environmental models: A systematic review with practical workflow , 2014, Environ. Model. Softw..

[68]  Stephen M Fiore,et al.  The Science of Team Science: A Review of the Empirical Evidence and Research Gaps on Collaboration in Science , 2018, The American psychologist.

[69]  D. Tjosvold,et al.  Goal Interdependence and Applying Abilities for Team In-Role and Extra-Role Performance in China. , 2004 .

[70]  Anthony J. Jakeman,et al.  A catchment moisture deficit module for the IHACRES rainfall-runoff model , 2004, Environ. Model. Softw..

[71]  M. Brewer,et al.  Invasive Cereal Aphids of North America: Ecology and Pest Management. , 2019, Annual review of entomology.

[72]  Joseph H. A. Guillaume,et al.  An uncertain future, deep uncertainty, scenarios, robustness and adaptation: How do they fit together? , 2016, Environ. Model. Softw..

[73]  Michael L. Hines,et al.  Python in neuroscience , 2015, Front. Neuroinform..

[74]  Hazel R. Parry,et al.  Cereal aphid movement: general principles and simulation modelling , 2013, Movement Ecology.

[75]  Deana McDonagh,et al.  Shared language:Towards more effective communication. , 2013, The Australasian medical journal.

[76]  Torgeir Dingsøyr,et al.  A decade of agile methodologies: Towards explaining agile software development , 2012, J. Syst. Softw..

[77]  John K. Westbrook,et al.  Coupling general physical environmental process models with specific question-driven ecological simulation models , 2019, Ecological Modelling.

[78]  Andrew T. Knight,et al.  Learning from published project failures in conservation , 2019, Biological Conservation.

[79]  Anne Leitch,et al.  Mental models: an interdisciplinary synthesis of theory and methods , 2011 .

[80]  A. Booth,et al.  Ten principles of good interdisciplinary team work , 2013, Human Resources for Health.

[81]  Anthony J. Jakeman,et al.  Ten iterative steps in development and evaluation of environmental models , 2006, Environ. Model. Softw..

[82]  Lauren E. Benishek,et al.  Teams in a New Era: Some Considerations and Implications , 2019, Front. Psychol..

[83]  E. Wilson,et al.  Rethinking the Theoretical Foundation of Sociobiology , 2007, The Quarterly Review of Biology.

[84]  K. Jarrod Millman,et al.  Array programming with NumPy , 2020, Nat..

[85]  Eduardo Salas,et al.  The science of teamwork: Progress, reflections, and the road ahead. , 2018, The American psychologist.

[86]  O. Koul,et al.  Areawide Pest Management: Theory and Implementation , 2008 .

[87]  Randy W. Connolly,et al.  Why computing belongs within the social sciences , 2020, Commun. ACM.

[88]  Rich Hilliard,et al.  Updating IEEE 1471: Architecture Frameworks and Other Topics , 2008, Seventh Working IEEE/IFIP Conference on Software Architecture (WICSA 2008).

[89]  Olaf Zimmermann,et al.  Sustainable Architectural Design Decisions , 2013, IEEE Software.

[90]  Jeroen P. van der Sluijs,et al.  Uncertainty and precaution in environmental management: Insights from the UPEM conference , 2007, Environ. Model. Softw..

[91]  J. Arblaster,et al.  A review of past and projected changes in Australia's rainfall , 2019, WIREs Climate Change.

[92]  Chun-Chang Lee,et al.  The Effects of Task Interdependence, Team Cooperation, and Team Conflict on Job Performance , 2015 .

[93]  Keith J. Beven,et al.  Environmental Modelling: An Uncertain Future?: An Introduction to Techniques for Uncertainty Estimation in Environmental Prediction , 2010 .

[94]  Jennifer Badham,et al.  Socio-technical scales in socio-environmental modeling: Managing a system-of-systems modeling approach , 2020, Environmental Modelling & Software.

[95]  Jennifer Badham,et al.  Effective modeling for Integrated Water Resource Management: A guide to contextual practices by phases and steps and future opportunities , 2019, Environ. Model. Softw..

[96]  Laura Schmitt Olabisi,et al.  Try, try again: Lessons learned from success and failure in participatory modeling , 2019, Elementa: Science of the Anthropocene.

[97]  M. Zalucki,et al.  Modelling spatio-temporal patterns of long-distance Culicoides dispersal into northern Australia. , 2013, Preventive veterinary medicine.

[98]  Hsiao‐Hsuan Wang,et al.  Reflections of two systems ecologists on modelling coupled human and natural (socio-ecological, socio-environmental) systems , 2021 .

[99]  K. Roozeboom,et al.  Sorghum Growth and Development , 2019, Agronomy Monographs.

[100]  M Bakker,et al.  Scripting MODFLOW Model Development Using Python and FloPy , 2016, Ground water.

[101]  A. W. Harbaugh,et al.  The History of MODFLOW , 2003, Ground water.

[102]  Christopher J. A. Macleod,et al.  Modellers' roles in structuring integrative research projects , 2013, Environ. Model. Softw..

[103]  Tamara Voznesenskaya,et al.  Modeling self-organizing teams in a research environment , 2019, Business Informatics.

[104]  James Noble,et al.  Self-Organizing Roles on Agile Software Development Teams , 2013, IEEE Transactions on Software Engineering.

[105]  Jennifer Feitosa,et al.  Advancing Teams Research: What, When, and How to Measure Team Dynamics Over Time , 2019, Front. Psychol..

[106]  Cameron Davidson-Pilon,et al.  Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference , 2015 .

[107]  A. Cockburn,et al.  Agile Software Development: The People Factor , 2001, Computer.

[108]  Anthony J. Jakeman,et al.  Development of an integrated model for the Campaspe catchment: a tool to help improve understanding of the interaction between society, policy, farming decision, ecology, hydrology and climate , 2018, Proceedings of the International Association of Hydrological Sciences.

[109]  Anthony J. Jakeman,et al.  Eight grand challenges in socio-environmental systems modeling , 2020 .

[110]  B Boehm A spiral model of software development and enhancement , 1986, SOEN.

[111]  M. Brewer,et al.  Sugarcane Aphid Population Growth, Plant Injury, and Natural Enemies on Selected Grain Sorghum Hybrids in Texas and Louisiana , 2017, Journal of Economic Entomology.

[112]  T. Dysarz Application of Python Scripting Techniques for Control and Automation of HEC-RAS Simulations , 2018, Water.

[113]  C. Wamsler,et al.  Towards a relational paradigm in sustainability research, practice, and education , 2020, Ambio.

[114]  J. Davidson,et al.  On the Relationship between Temperature and Rate of Development of Insects at constant Temperatures. , 1944 .

[115]  T. May,et al.  Reflexivity: The Essential Guide , 2017 .

[116]  Hayward P. Andres Technology-Mediated Collaboration, Shared Mental Model and Task Performance , 2012, J. Organ. End User Comput..

[117]  John K. Westbrook,et al.  Integrated modelling of the life cycle and aeroecology of wind-borne pests in temporally-variable spatially-heterogeneous environment , 2019, Ecological Modelling.

[118]  M. Brewer,et al.  Where do all the aphids go? A series of thought experiments within the context of area-wide pest management , 2020 .

[119]  Takuya Iwanaga,et al.  A socio-environmental model for exploring sustainable water management futures: Participatory and collaborative modelling in the Lower Campaspe catchment , 2020 .

[120]  J. Bierbooms,et al.  Co-creating a program for teams to maintain and reflect on their flexibility. , 2019, The International journal of health planning and management.