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Models are central to understanding systems and to the engineering of systems. Systems engineers employ various types of models to communicate shared understanding, through system life‐cycle models that enable the transformation of functional models to physical models, that are then realized as tangible systems of benefit to society. The recognition of the central nature of models to the engineering of systems resulted in the forming of Model Based Systems Engineering (MBSE) wherein the essence of the system of interest is contained within a system model in contrast to traditional documents. However, the evolution of model‐types employed, both to understand and to engineer systems, appears to largely have been a pragmatic activity driven by the needs of the numerous individual engineering and management subdisciplines. This paper briefly examines extant taxonomy of systems models used in the engineering of systems and in understanding operational systems and considers the question of whether there is a suitable system "meta‐model" that naturally "contains" all types of systems models used therein. It explores this question through a systems‐thinking lens, in conjunction with concepts on mental models from biology and philosophy. This analysis gives rise to framework for systems models and to the proposition that all (systems) models take on one of two forms: as reference models that aid in the engineering of systems or as representative models that aid in understanding operational systems. The paper concludes that it is possible to propose an emergent "model of systems models" that combines these two classes in an evolutionary way. This construct is offered for consideration and refinement by the systems community. [ABSTRACT FROM AUTHOR]

The role of livestock in sustainable food systems and sustainable diets is a complex issue. It should be assessed in terms of its impacts on environmental, economic, and social sustainability, as well as the levels of animal performance, the human food supply, and the human food production system. However, such nuanced analyses are made difficult by the lack of multi-metric, multi-domain modelling frameworks and a lack of data on regional variation in livestock production. This paper proposes a conceptual biophysical modelling framework that could be used as a pathway to address existing methodology gaps and improve sustainability analyses across multiple levels. Realising this modelling framework requires clear, transparent, and enforceable frameworks for multi-scale sustainability assessments, as well as long-term investment into region-specific data collection, particularly from under-represented regions. To ensure representativeness and broader utility, this framework must also be able to model variation in both production systems and consumer dietary patterns, and the feedback loops between producer/consumer decisions and on-farm production. Beyond the level of science, this will also require concerted effort by the various actors in the livestock and food-chain sectors such as governmental bodies, the food production industry and local communities. Once realised, this framework could be used to assess trade-offs between potential food-system changes and to ensure that decisions are being made from a big picture, net-benefit perspective, while exploring methods for building flexible, diverse food systems that are sustainable across multiple scales. For sustainable agriculture to be truly sustainable, it must be sustainable across the domains of environmental, economic, and social sustainability. However, most sustainability assessments focus primarily on environmental impacts, and many current tools and models can model only one or two of these domains, making nuanced, big-picture assessment difficult. This review proposes a holistic modelling framework for nuanced, multi-metric sustainability of livestock systems, while highlighting challenges that must be addressed to realise and implement this framework. [ABSTRACT FROM AUTHOR]

The maintenance of the functional integrity of the intestinal epithelium requires a tight coordination between cell production, migration, and shedding along the crypt–villus axis. Dysregulation of these processes may result in loss of the intestinal barrier and disease. With the aim of generating a more complete and integrated understanding of how the epithelium maintains homeostasis and recovers after injury, we have built a multi-scale agent-based model (ABM) of the mouse intestinal epithelium. We demonstrate that stable, self-organizing behaviour in the crypt emerges from the dynamic interaction of multiple signalling pathways, such as Wnt, Notch, BMP, ZNRF3/RNF43, and YAP-Hippo pathways, which regulate proliferation and differentiation, respond to environmental mechanical cues, form feedback mechanisms, and modulate the dynamics of the cell cycle protein network. The model recapitulates the crypt phenotype reported after persistent stem cell ablation and after the inhibition of the CDK1 cycle protein. Moreover, we simulated 5-fluorouracil (5-FU)-induced toxicity at multiple scales starting from DNA and RNA damage, which disrupts the cell cycle, cell signalling, proliferation, differentiation, and migration and leads to loss of barrier integrity. During recovery, our in silico crypt regenerates its structure in a self-organizing, dynamic fashion driven by dedifferentiation and enhanced by negative feedback loops. Thus, the model enables the simulation of xenobiotic-, in particular chemotherapy-, induced mechanisms of intestinal toxicity and epithelial recovery. Overall, we present a systems model able to simulate the disruption of molecular events and its impact across multiple levels of epithelial organization and demonstrate its application to epithelial research and drug development.

The relation among the various causal factors of obesity is not well understood, and there remains a lack of viable data to advance integrated, systems models of its etiology. The collection of big data has begun to allow the exploration of causal associations between behavior, built environment, and obesity-relevant health outcomes. Here, the traditional epidemiologic and emerging big data approaches used in obesity research are compared, describing the research questions, needs, and outcomes of 3 broad research domains: eating behavior, social food environments, and the built environment. Taking tangible steps at the intersection of these domains, the recent European Union project "BigO: Big data against childhood obesity" used a mobile health tool to link objective measurements of health, physical activity, and the built environment. BigO provided learning on the limitations of big data, such as privacy concerns, study sampling, and the balancing of epidemiologic domain expertise with the required technical expertise. Adopting big data approaches will facilitate the exploitation of data concerning obesity-relevant behaviors of a greater variety, which are also processed at speed, facilitated by mobile-based data collection and monitoring systems, citizen science, and artificial intelligence. These approaches will allow the field to expand from causal inference to more complex, systems-level predictive models, stimulating ambitious and effective policy interventions. [ABSTRACT FROM AUTHOR]

The aim of this paper is to aid educators in sustainability or social innovation to make sense of their creativity. We use a systems model of creativity (Csikszentmihalyi 1988, 1996, 1999) as an enquiring device to tease out issues that influence creativity within these realms. Data from semi-structured interviews with senior and junior educators in two geographical locations lead us to elaborate two systems models to reflect creativity. These models portray creativity as emerging from the alignment of and connections between creators, domains and field elements as suggested by Csikszentmihalyi. However, we also identify some intermediary or absent connections between the model elements which deserve further attention, as their uncritical pursuit could potentially exacerbate exclusion or marginalisation of junior educators' personal values and interests. Therefore, critically and creatively informed learning could be better cultivated in these realms. This and other insights could have important implications for how creativity and its nurturing in education could be advanced in the long run. [ABSTRACT FROM AUTHOR]

Integrated models can support community planning efforts because they have the ability to elucidate social, economic, and environmental relationships and outcomes associated with different local development plans and strategies. However, deciding what to include in an integrated model presents a significant challenge, as including all aspects of a community and local environment is unfeasible, whereas including too few aspects leads to a non-representative model. This research aimed to address this challenge by employing an iterative, participatory process in an integrated modelling effort. Conducted in Squamish (BC, Canada), the research involved developing a community systems model and scenarios (i.e., different community development patterns), modelling the scenarios, evaluating the model through a community focus group, and refining the model and scenarios based on the feedback. Much of the work developing the initial systems model and scenarios was done a previous research phase, and it involved assembling local government and community stakeholder focus groups to discuss issues and possible futures for Squamish. Analysis of the focus group data informed the design of a community systems model and local development scenarios, which were subsequently applied in an integrated modelling exercise. Modelling primarily used ArcGIS and R, and explored a variety of factors including access to amenities, education, walkability, parks/trails, food and farm systems, public transit, housing affordability, threats to critical habitat, etc. Another local government and community stakeholder focus group was held to solicit feedback on the model and scenarios, which were then refined based on the feedback. The research found the participatory approach to beneficial for creating community planning tools with high relevance to local contexts and needs. The model developed in this work has great potential for supporting community planning because it effectively identifies the co-benefits and trade-offs of different development strategies. It is important to develop these types of community planning tools through iterative processes, where they are refined through multiple stages of feedback by a variety of stakeholders, to better capture the local concerns and realities of a place.

Systems models can support community planning, and by engaging local government and community stakeholders, these models can be designed to capture a comprehensive but manageable range of key interests, concerns, and values. This study explores a participatory approach for designing a community systems modeling exercise. The research involved convening focus groups of local government and diverse community stakeholders in Squamish, Canada, in order to discuss local issues and possible futures for the community. Focus group feedback was used to inform the development of a model of relationships between development paths (reflecting different densities) and multiple community outcomes, such as access to amenities and education, walkability, parks/trails, food and farm systems, public transit, housing affordability, and local employment. A participatory approach to modeling yielded many benefits, including alignment with normative participatory planning concepts, effective model scoping, accessing additional information sources, and enhancing local social capital and investment in the project. [ABSTRACT FROM AUTHOR]

The maintenance of the functional integrity of the intestinal epithelium requires a tight coordination between cell production, migration, and shedding along the crypt-villus axis. Dysregulation of these processes may result in loss of the intestinal barrier and disease. With the aim of generating a more complete and integrated understanding of how the epithelium maintains homeostasis and recovers after injury, we have built a multi-scale agent-based model (ABM) of the mouse intestinal epithelium. We demonstrate that stable, self-organizing behaviour in the crypt emerges from the dynamic interaction of multiple signalling pathways, such as Wnt, Notch, BMP, ZNRF3/RNF43, and YAP-Hippo pathways, which regulate proliferation and differentiation, respond to environmental mechanical cues, form feedback mechanisms, and modulate the dynamics of the cell cycle protein network. The model recapitulates the crypt phenotype reported after persistent stem cell ablation and after the inhibition of the CDK1 cycle protein. Moreover, we simulated 5-fluorouracil (5-FU)-induced toxicity at multiple scales starting from DNA and RNA damage, which disrupts the cell cycle, cell signalling, proliferation, differentiation, and migration and leads to loss of barrier integrity. During recovery, our in silico crypt regenerates its structure in a self-organizing, dynamic fashion driven by dedifferentiation and enhanced by negative feedback loops. Thus, the model enables the simulation of xenobiotic-, in particular chemotherapy-, induced mechanisms of intestinal toxicity and epithelial recovery. Overall, we present a systems model able to simulate the disruption of molecular events and its impact across multiple levels of epithelial organization and demonstrate its application to epithelial research and drug development., Competing Interests: LG, AB, HK, CP Employee and shareholder of AstraZeneca Plc, CD, AP, DP No competing interests declared, FJ Employee of Johnson & Johnson, LL Employee and shareholder of Johnson & Johnson, (© 2023, Gall et al.)

This systematic review examines the importance of a systems/holistic approach in analyzing and addressing the footprints/impacts of business-as-usual activities regarding the development of a circular economy (CE). Recent works on why current CE approaches have to be examined in terms of reductionist vs. systems perspectives are reviewed to tackle questions pertaining to the right or the wrong way of CE implementation. ‘Doing the right thing right’ is essential for sustainability—the ultimate goal of a CE, which must be viewed as a system to begin with. The limited reductionist approach overlooks and thus cannot prognosticate on the formidable unintended consequences that emerge from ‘doing the right things wrong’, consequences that become too costly to undo. The systems approach, being holistic, is complicated and difficult to pursue but open to exciting opportunities to integrate innovations in CE analysis and implementation. Complexity is an inherent downside of the systems approach. However, both approaches are complementary, as reductionist models can be combined to create a system of comprehensive analysis to correct the approach towards implementation of current CE initiatives. This review reports that advancements in systems analytical frameworks and tools are highly important for creating general guidelines on CE analysis and implementation.

Water resource management policies impact how water supplies are protected, collected, stored, treated, distributed, and allocated among multiple users and purposes. Water resource policies influence the decisions made regarding the siting, design, and operation of infrastructure needed to achieve the underlying goals of these policies. Water management policies vary by region depending on particular hydrologic, economic, environmental, and social conditions, but in all cases they will have multiple impacts affecting these conditions. Science can provide estimates of various economic, ecologic, environmental, and even social impacts of alternative policies, impacts that determine how effective any particular policy may be. These impact estimates can be used to compare and evaluate alternative policies in the search for identifying the best ones to implement. Among all scientists providing inputs to policy making processes are analysts who develop and apply models that provide these estimated impacts and, possibly, their probabilities of occurrence. However, just producing them is not a guarantee that they will be considered by policy makers. This paper reviews various aspects of the science-policy interface and factors that can influence what information policy makers need from scientists. This paper suggests some ways scientists and analysts can contribute to and inform those making water management policy decisions. Brief descriptions of some water management policy making examples illustrate some successes and failures of science informing and influencing policy.

Physiologically based pharmacokinetic (PBPK) models are an important type of systems model used commonly in drug development before commencement of first-in-human studies. Due to structural complexity, these models are not easily utilised for future data-driven population pharmacokinetic (PK) analyses that require simpler models. In the current study we aimed to explore and automate methods of simplifying PBPK models using a proper lumping technique. A linear 17-state PBPK model for fentanyl was identified from the literature. Four methods were developed to search the optimal lumped model, including full enumeration (the reference method), non-adaptive random search (NARS), scree plot plus NARS, and simulated annealing (SA). For exploratory purposes, it was required that the total area under the fentanyl arterial concentration–time curve (AUC) between the lumped and original models differ by 0.002% at maximum. In full enumeration, a 4-state lumped model satisfying the exploratory criterion was found. In NARS, a lumped model with the same number of lumped states was found, requiring a large number of random samples. The scree plot provided a starting lumped model to NARS and the search completed within a short time. In SA, a 4-state lumped model was consistently delivered. In simplify an existing linear fentanyl PBPK model, SA was found to be robust and the most efficient and may be suitable for general application to other larger-scale linear systems. Ultimately, simplified PBPK systems with fundamental mechanisms may be readily used for data-driven PK analyses. [ABSTRACT FROM AUTHOR]

Engaging in climate action through integrated sustainability strategies can yield benefits for communities in more effective ways than through compartmentalized approaches. Such strategies can result in co-benefits, that is, community benefits that occur from acting on climate change that extend beyond mitigation and adaptation. For example, creating more walkable cities can be a strategy for reducing greenhouse gases, but can also lead to healthier communities. Climate strategies with co-benefits can result in "win-win" situations and thus improve practices for integrated community planning. However, this planning approach also presents challenges because it requires understanding complex relationships between community development practices and identifying synergies. In addition, some co-benefit strategies may also have associated challenges and trade-offs. This research examines climate action cobenefits and trade-offs in order to develop a comprehensive picture of the relationships and potential effects of implementing certain plans and strategies. The research consisted of collecting data on climate action efforts occurring in eleven BC (Canada) communities and coding it to identify climate strategies, co-benefits, challenges, and trade-offs. Relationships between codes were then identified through a coding matrix, and these were used to build a series of models that illustrate co-benefits, challenges, and trade-offs associated with local climate action. Each model centered on a particular area of climate action, including energy innovation, urban densification, mixed-use and downtown revitalization, building stock, ecological capital, trails and transportation, and waste and water. The models provide a holistic impression of the advantages and disadvantages associated with different plans and strategies, which in turn can guide both quantitative analyses and qualitative explorations that contribute toward integrated community planning and decision-making. [ABSTRACT FROM AUTHOR]

Quantitative systems pharmacology (QSP) models are increasingly used in drug development to provide a deep understanding of the mechanism of action of drugs and to identify appropriate disease targets. Such models are, however, not suitable for estimation purposes due to their high dimensionality. Based on any desired and specific input-output relationship, the system may be reduced to a model with fewer states and parameters. However, any simplification process will be a trade-off between model performance and complexity. In this study, we develop a weighted composite criterion which brings together the opposing indices of performance and dimensionality. The weighting factor can be determined by qualification of the simplified model based on a visual predictive check (VPC) using the precision of each parameter. The weighted criterion and model qualification techniques were illustrated with three examples: a simple compartmental pharmacokinetic model, a physiologically based pharmacokinetic (PBPK) example, and a semimechanistic model for bone mineral density. When considering the PBPK example, this automated search identified the same reduced model which had been detected in a previous report, as well as a simpler model which had not been previously identified. The simpler bone mineral density model provided an adequate description of the response even after 1 year from the initiation of treatment. The proposed criterion together with a VPC provides a natural way for model order reduction that can be fully automated and applied to multiscale models. [ABSTRACT FROM AUTHOR]

LabVIEW is a popular commercial modeling tool that is often used in systems engineering. LabVIEW also includes a special programming language developed for engineers to help them support the automation of computer-aided systems. Although LabVIEW is widely used in various fields (e.g., industrial design, academic research, and engineering education), there has not been much attention given to the systems models built in LabVIEW (e.g., support for analyzing the complexity of systems models). Our previous work in surveying engineers who use LabVIEW suggests that systems engineers are deeply concerned about the complexity of the LabVIEW systems models that they create. To address the need for additional support in understanding the complexity of LabVIEW systems models, we introduce in this paper a metrics suite to assist end-users in characterizing the complexities of LabVIEW systems models from different aspects. We theoretically validated the metrics using Weyuker's validation. In addition, our metric suite was applied to 10 LabVIEW models mined from GitHub to empirically evaluate their suitability to support the description of systems model complexities. Our research is one of the first efforts to address the complexity analysis of LabVIEW systems models through a software metrics approach. [ABSTRACT FROM AUTHOR]

Participatory planning applied to water resources has sparked significant interest and debate during the last decade. Recognition that models play a significant role in the formulation and implementation of design and management strategies has encouraged the profession to consider how such models can be best implemented. Shared Vision Planning ( SVP) is a disciplined planning approach that combines traditional water resources planning methodologies with innovations such as structured public participation and the use of collaborative modeling, resulting in a more complete understanding and an integrative decision support tool. This study reviews these three basic components of SVP and explains how they are incorporated into a unified planning approach. The successful application of SVP is explored in three studies involving planning challenges: the National Drought Study, the Lake Ontario-St. Lawrence River Study, and the Apalachicola-Chattahoochee-Flint/Alabama-Coosa-Tallapoosa River Basin Study. The article concludes by summarizing the advantages and limitations of this planning approach. [ABSTRACT FROM AUTHOR]

Rothausen thoroughly reviews the literature on work-family balance in traditional workplaces and provides a useful framework for determining a healthy balance between work and family in a family business context. This article addresses Rothausen's contributions to enhancing work-family research in family businesses, and it specifies areas for further research using a fit model. Work family scholars have the potential to integrate research in economics, sociology, and psychology and so help form interdisciplinary teams to conduct research on family businesses. [ABSTRACT FROM AUTHOR]

Strategic brand management is a burgeoning field, flush with both academic and commercial research that has informed and continues to inform almost all commercial brand equity and valuation tools. In this paper, we trace the academic and commercial pedigree of Ipsos’ brand-building platform, review its core components, summarise what we have learned over 30 years of commercial research in the area and lay out a path for future innovation in this space. We draw on existing approaches in both consumer behaviour and economic choice modelling to develop a framework that provides, in addition to commonly used equity metrics, the impact of brand positionings, price and loyalty on consumer choice, and how these metrics can be combined to evaluate a brand's total asset value. In addition, our framework lays the foundation for an integrated systems model of brand equity and choice that, we believe, is better suited to addressing the questions of critical importance to brand managers across a wide variety of categories. [ABSTRACT FROM AUTHOR]

Abstract: While the method using specialist herbivores in managing invasive plants (classical biological control) is regarded as relatively safe and cost-effective in comparison to other methods of management, the rarity of strict monophagy among insect herbivores illustrates that, like any management option, biological control is not risk-free. The challenge for classical biological control is therefore to predict risks and benefits a priori. In this study we develop a simulation model that may aid in this process. We use this model to predict the risks and benefits of introducing the chrysomelid beetle Charidotis auroguttata to manage the invasive liana Macfadyena unguis-cati in Australia. Preliminary host-specificity testing of this herbivore indicated that there was limited feeding on a non-target plant, although the non-target was only able to sustain some transitions of the life cycle of the herbivore. The model includes herbivore, target and non-target life history and incorporates spillover dynamics of populations of this herbivore from the target to the non-target under a variety of scenarios. Data from studies of this herbivore in the native range and under quarantine were used to parameterize the model and predict the relative risks and benefits of this herbivore when the target and non-target plants co-occur. Key model outputs include population dynamics on target (apparent benefit) and non-target (apparent risk) and fitness consequences to the target (actual benefit) and non-target plant (actual risk) of herbivore damage. The model predicted that risk to the non-target became unacceptable (i.e. significant negative effects on fitness) when the ratio of target to non-target in a given patch ranged from 1:1 to 3:2. By comparing the current known distribution of the non-target and the predicted distribution of the target we were able to identify regions in Australia where the agent may be pose an unacceptable risk. By considering risk and benefit simultaneously, we highlight how such a simulation modelling approach can assist scientists and regulators in making more objective decisions a priori, on the value of releasing specialist herbivores as biological control agents. [Copyright &y& Elsevier]

Teams are the fundamental element of work in the contemporary clinical setting. As interdisciplinary teams become an essential component of the evidence-based framework for clinical practice, their formalization, integration, and synthesis within the practice framework will become increasingly mandatory. Outlined here is a contextual model for team action that is formalized as the organizational leadership continuously addresses the structural and process components of team dynamics in a continuous and cybernetic frame that assures all of the elements of effective teamwork. The theoretical foundations for team modeling are explicated, the elements of the systems approach to team process are outlined, and a necessary synthesis of team processes is described and established as a foundation for evidence-based clinical practice. [ABSTRACT FROM AUTHOR]

Abstract: It is argued that the engineering discipline of human–computer interaction (HCI) has developed over the last couple of decades in an ad hoc manner, driven by the need to solve real problems, rather than being informed by high level, general theories of the discipline. A retrospective role for general HCI theories is suggested. A start at such a general theory, which must be simple and able to encompass all the discipline of HCI''s activities, is proposed, based on the concept of tasks. Tasks are characterised as the means by which work is performed. A general systems modelling approach is introduced which divides the assumed world it models into work systems and the application domains that are changed by work performance. The role of different work systems, defined by their differing boundaries and goals, to define different subtasks is introduced and illustrated with a number of simple examples. [Copyright &y& Elsevier]

This systematic review examines the importance of a systems/holistic approach in analyzing and addressing the footprints/impacts of business-as-usual activities regarding the development of a circular economy (CE). Recent works on why current CE approaches have to be examined in terms of reductionist vs. systems perspectives are reviewed to tackle questions pertaining to the right or the wrong way of CE implementation. 'Doing the right thing right' is essential for sustainability—the ultimate goal of a CE, which must be viewed as a system to begin with. The limited reductionist approach overlooks and thus cannot prognosticate on the formidable unintended consequences that emerge from 'doing the right things wrong', consequences that become too costly to undo. The systems approach, being holistic, is complicated and difficult to pursue but open to exciting opportunities to integrate innovations in CE analysis and implementation. Complexity is an inherent downside of the systems approach. However, both approaches are complementary, as reductionist models can be combined to create a system of comprehensive analysis to correct the approach towards implementation of current CE initiatives. This review reports that advancements in systems analytical frameworks and tools are highly important for creating general guidelines on CE analysis and implementation. [ABSTRACT FROM AUTHOR]

The core idea in soft systems methodology is to generate logical systems models that are thought to be relevant to a problem situation and then to compare the model and situation in order to structure a debate about change. It is demonstrated in this paper that comparison is problematic both in theory and practice. A learning-based stream of research is described in which three concepts, termed expectation, desirability and importance (EDI), are identified to help explain the nature of comparison. The learning gained from applying these concepts in order to structure practice is discussed. Copyright © 1999 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Technical change is described using a systems model that focuses on four important characteristics: multi-directional linkages, knowledge and learning, unique development paths and cumulative self-reinforcing development. The model is then applied to the goal of environmentally sustainable development in order to determine the implications for policy at the level of the European Union (EU). The European Commission should use direct regulation, economic instruments, procurement and social policies to guide the direction of technical change. The systems model also suggests policy options for dealing with potential or existing lock-in to undesirable technologies. Overall, the responsibilities of the European Commission should include the co-ordination of long-term regulatory signals and support for the development and diffusion of favourable technologies, constructive technology assessment and international co-operation. Aspects of the proposed Fourth Framework Programme of relevance to environmentally sustainable development are discussed. [ABSTRACT FROM AUTHOR]

Systems models to improve ecosystems often identify flows to meet minimum instream flow requirements or minimize deviations from a predefined flow regime. Here, we present a new systems optimization model that determines when, where, and how much to allocate scarce water, financial resources, and revegetation efforts to improve aquatic, floodplain, and wetland habitat areas and quality. This optimization is subject to constraints on water mass balance, vegetation growth, infrastructure capacities, and meeting existing agricultural and urban water demands. We followed a participatory approach to apply and validate our model in the Lower Bear River watershed, UT. Results show that increasing winter reservoir releases, minimizing spring spills, and planting native floodplain vegetation early in the growing season can increase suitable habitat area beyond managing water alone. Additional flow on the Little Bear River between August and December will most increase habitat area and quality compared to other locations. • A new ecological objective quantifies the suitable habitat areas of aquatic, floodplain, and wetland habitat types. • A systems model shows when, where, and how much to allocate scarce resources to improve watershed habitat area and quality. • Synergistic water and vegetation management can improve habitat for native fish, floodplain vegetation, and migratory birds. • An open-access web map helps communicate opportunities to improve habitat area and quality to stakeholders. [ABSTRACT FROM AUTHOR]