Glossary

Adaptive Epistemologies and Neo-Wilds

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A

Adaptive Epistemology

The dissertation’s primary conceptual contribution. A framework for knowledge production that treats design propositions as testable hypotheses deployed in real-world conditions, where learning emerges through iterative cycles of proposal, feedback, and adjustment. Adaptive epistemology is distinguished from adaptive management by its ontological claim. The territory does not merely respond to management. It participates in its own legibility. The designer is not an external observer drawing predictions from models but a participant whose knowledge is partial, whose sensing apparatus constitutes rather than reports the conditions it registers, and whose decisions are part of the system’s dynamics rather than inputs from outside it. What predict-and-control frameworks treat as noise, divergence between accounts, emergent behavior, responses the model did not anticipate, adaptive epistemology treats as information. The commitment is not to eliminate uncertainty but to build the conditions under which uncertainty yields learning. See also reflexive stewardship, plurality, feedback loops.

Reference: Discussed throughout, particularly Ch. 01, Ch. 02

Adaptive Management

A systematic approach to environmental management, originating with C.S. Holling, that treats management actions as experiments, explicitly testing assumptions and adjusting strategies based on feedback from ecological monitoring. Adaptive management emerged within natural resource agencies to address the uncertainty of ecological systems while retaining the operational structure of predict-and-control governance. It is a sibling concept to adaptive epistemology but not identical to it. Adaptive management asks how environmental management can learn. Adaptive epistemology asks what kind of knowledge the territory itself produces and how the practitioner is positioned within that production. The difference is ontological rather than procedural, and Chapter 12 develops it in full.

Reference: Ch. 01, Ch. 02, Ch. 12

Antifragility

Taleb’s concept of systems that become stronger through disorder and disruption rather than merely recovering to baseline. Where resilience describes a system’s capacity to bounce back, antifragility describes a system’s capacity to benefit from variability and shock. The dissertation argues that landscape design under climate change must aim for antifragility, not resilience. A resilient levee holds until it fails. An antifragile floodplain absorbs increasing disturbance and reorganizes its capacity to absorb the next one. The design problem is how to structure territorial systems so that the disturbances they encounter produce capacity rather than depletion.

Reference: Ch. 03 (Refractions), Ch. 08

Adjacent Possible

Stuart Kauffman’s concept (2000) for the space of configurations that a system’s current state makes available. Every adaptive landscape system that sustains the coupling between biological agency and designed structure is expanding its adjacent possible, keeping open the space of what the territory could become rather than collapsing it into a specification. The neo-wild produces what neither wilderness nor garden can, a future constituted by the territory’s own developmental logic operating within the frame of a sustained relationship.

Reference: Ch. 02, Ch. 13 (Vectors)

Assemblage

A theoretical concept describing complex arrangements of heterogeneous elements, humans, machines, materials, institutions, ideas, that have no singular origin or master plan but emerge through dynamic interaction. The concept names the ontological condition from which adaptive epistemology proceeds. A territory is not an object designed upon but an assemblage in which the designer is one participant among many. The design act intervenes into ongoing negotiation rather than imposing specification on inert material. Biology, infrastructure, computation, and culture hold relations that the designer cannot fully see, cannot fully control, and cannot fully predict. Recognizing a territory as an assemblage is the first move away from predict-and-control and toward the practice this dissertation develops. See also coupled ecologies, plurality.

Reference: Ch. 01, Ch. 05, Ch. 11

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B

Boundary Object

A concept from Star and Griesemer. An object or representation, a map, a model, a diagram, that holds different meanings for different communities while still coordinating action across them. The boundary object’s productivity lies in its interpretive flexibility. Engineers, ecologists, and designers see the same map but project different questions onto it, and the map’s value comes from its capacity to sustain those divergent readings without collapsing them into one. Chapter 05 argues that the tools of adaptive practice operate primarily as boundary objects, mediating the plurality of intelligences that any territory’s coupled systems put into play.

Reference: Ch. 05 (Tools)

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C

Coupled Ecologies

One of the six canonical frameworks. The territorial condition that results when biology, computation, and infrastructure are no longer separate domains but a single operative system. A marsh that is simultaneously a living ecosystem, a sensor network, and an adaptive management protocol constitutes a coupled ecology. The term replaces the earlier “cyborg ecologies” (see Haraway 1991) because “coupling” better names the ongoing, distributed, non-optimal entanglement this practice produces, where “cyborg” implied optimization and a singular subject. “Synthetic ground” names the product of this coupling. “Coupled ecologies” names the condition.

Reference: Ch. 02, Ch. 07, Ch. 09, Ch. 12

Cultivant / Cultivance

The practitioner’s disposition within all six frameworks, not a seventh framework alongside them. Extending Raxworthy’s “viridic,” the cultivant names the ongoing negotiation between designed intention and biological agency in which maintenance is the primary design act. If the viridic names what the living material is, the cultivant names what the designer does in relation to it. Not specifying, not controlling, but tending. From cultivans, the present participle of the Latin cultivare. The condition of being cultivant, cultivance, is always in process, always tended, never completed. One of the dissertation’s three primary theoretical contributions alongside adaptive epistemology and refraction, the cultivant belongs to a broader reconsideration of maintenance, repair, and care underway across design and the environmental humanities. See also viridic, reflexive stewardship.

Reference: Ch. 01, Ch. 02, Ch. 03, Ch. 04, Ch. 05, Ch. 07, Ch. 08, Ch. 11, Ch. 12, Ch. 13

Cybernetics / Cybernetic Systems

The study of control and communication in living organisms and machines, developed through the work of Pask, Beer, Ashby, and Wiener. A cybernetic system monitors its own behavior through feedback and adjusts to maintain stability or reach goals. The cybernetic tradition provides much of the vocabulary adaptive epistemology relies on, feedback, monitoring, response, regulation, but it carries an assumption the dissertation works to revise. Classical cybernetics treats what is sensed as a given and sensors as neutral reporters on a pre-existing world. Chapter 07 shows that the instrument constitutes the phenomenon. Cybernetics gives the adaptive practitioner the mechanics of feedback. Technogeographies of sensing gives the politics.

Reference: Ch. 09 (Interactions), Ch. 10 (Generational Robots)

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D

Datum

The reference point or baseline against which other measurements are taken. In topographic surveying the datum is the horizontal reference, sea level or a benchmark. The concept has a conceptual reach the surveying definition does not capture. What a practice chooses as its measuring stick determines what becomes visible and what recedes. The stationarity crisis that motivates this dissertation is in one sense a crisis of datum. The baselines the predictive tradition relied on no longer hold, and landscape practice now operates without the fixed references it was trained to assume.

Reference: Ch. 03, Ch. 05

Data Visualization / Visualization

The graphic representation of information. Visualization is never neutral presentation. Every choice of scale, color, perspective, and inclusion shapes what a viewer can know and believe about the phenomenon represented. The visualization is itself an argument. Chapter 05 develops this as a central claim about the tools of adaptive practice. A flood map is not a picture of a flood. It is a proposition about which flood matters, at what resolution, for whom, and under what conditions. The competent practitioner designs visualizations with the same rigor she brings to the sensing infrastructure that generates them, because the visualization is what decision-makers and communities actually read.

Reference: Ch. 05 (Tools), Ch. 06 (Models)

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E

Epistemic Authority / Epistemic Justice

Concepts from Miranda Fricker concerning who has the right and power to be heard as a knower. Epistemic injustice occurs when someone’s testimony or knowledge is dismissed or devalued based on prejudice against their social position. The concepts matter for landscape practice because territorial decisions rest on distributions of epistemic authority that are rarely interrogated. Whose knowledge, scientific, local, Indigenous, counts in decision-making about water, land, and infrastructure? Whose testimony about a flood’s behavior is heard as evidence and whose is dismissed as anecdote? Chapter 02 argues that adaptive epistemology must receive multiple forms of knowing as constitutive inputs rather than as consultation appended to an already-determined process, and Fricker’s vocabulary names what is at stake when it does not.

Reference: Ch. 02 (Adaptive Epistemologies)

Ecological Fitness

An evaluative framework drawn from evolutionary biology, developed in Ch08 as an alternative to historical-baseline restoration. Fitness encompasses three dimensions. The ability to compete (securing resources, occupying niche space). The ability to cooperate (mutualistic relationships, symbiotic partnerships). The ability to construct (modifying and engineering environments). This third dimension connects directly to landscape practice and niche construction theory. A landscape evaluated by ecological fitness is assessed by whether its emergent assemblage demonstrates functional capacities for ongoing persistence, not by whether it matches a pre-disturbance species composition.

Reference: Ch. 08 (Landscape as Medium)

Epistemology

The philosophical study of knowledge, what counts as knowledge, how knowledge is produced, and what makes a claim valid or justified. The dissertation’s argument begins with a specifically epistemological claim. Landscape architecture produces knowledge. It is not solely form-making or beautification, and its epistemological stakes are political and ethical. To position adaptive practice as epistemology rather than method is to insist that the knowledge produced in the practice counts, that it can be rigorous, and that it is answerable to standards the discipline itself is responsible for developing.

Reference: Ch. 02 (Adaptive Epistemologies)

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F

Feedback Loop / Feedback System

A system where output is fed back as input, creating a cycle of monitoring and response. Negative feedback stabilizes systems. Positive feedback destabilizes them. Landscapes hold multiple overlapping feedback loops among hydrology, biology, human management, and computation, and adaptive epistemology operates through the deliberate design of such loops. The design act proposes a hypothesis about how the territory will respond. The monitoring infrastructure detects the response. The adjustment that follows is a revision of the hypothesis in light of what the territory revealed. Feedback is therefore not an operational feature of adaptive practice but its epistemological engine. What distinguishes adaptive epistemology from adaptive management is the recognition that feedback loops are themselves designed objects, and that what they register and what they render invisible shapes what the practitioner can learn. See also adaptive epistemology, interface, technogeographies of sensing.

Reference: Ch. 01, Ch. 02, Ch. 09 (Interactions), Ch. 11

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G

Geomorphology / Geomorphological Model

The study of landforms and the processes that shape them, erosion, deposition, weathering, channel migration. A geomorphological model simulates how sediment moves, deposits, and reshapes terrain under different flow conditions. Chapter 06 traces the history of fluvial geomorphology’s physical models as an origin for the dissertation’s larger argument about models. The geomorphological model is not a prediction of what the river will do. It is an instrument through which the practitioner asks the river questions and receives responses the river itself authors through its sediment, its flow, and its refusal to behave as the model specified.

Reference: Ch. 06 (Models), Ch. 08 (Landscape as Medium)

Generational Robotics

One of the six canonical frameworks. Names the temporal mismatch between technological obsolescence and ecological succession. Landscapes develop across decades and generations while robotic and computational platforms turn over on product cycles of years. Generational robotics is the design problem of ensuring continuity of function, accumulated behavioral knowledge, and relational learning across platform generations, so that the knowledge produced in the relationship between a robot and its territory is not lost when hardware is replaced. The framework draws on Egerstedt’s robot ecology work, emphasizing survivability constraints and habitat-centric design over task completion. A robot deployed to a wetland is not a tool performing a job. It is a long-duration inhabitant whose presence must be designed to persist, adapt, and transmit its accumulated understanding across the platform generations the wetland will outlast.

Reference: Ch. 10 (Generational Robots), Ch. 02, Ch. 12

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H

Hydrologic / Hydrology

The study of water movement through landscapes, precipitation, flow, infiltration, evaporation, groundwater exchange. Hydrologic processes shape and are shaped by landscape form, vegetation, and human infrastructure. The stationarity crisis landed first and hardest in hydrology, where the engineering assumption that past flow records predict future flow conditions has collapsed under climate change. The design of water infrastructure under non-stationary hydrology is a primary site where adaptive epistemology’s break with predict-and-control becomes operationally necessary rather than philosophically optional.

Reference: Ch. 08 (Landscape as Medium)

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I

Indeterminacy

The quality of not being fully determined or predictable in advance. A landscape has indeterminacy when its future behavior cannot be completely specified from initial conditions. The predictive tradition treats indeterminacy as a deficiency to be reduced through better data, finer modeling, and more complete specification. Adaptive epistemology treats indeterminacy as a constitutive feature of territorial systems and a precondition for the novelty and adaptation the territory produces. The design question is not how to eliminate indeterminacy but how to maintain the conditions under which indeterminacy yields productive outcomes rather than failure.

Reference: Ch. 02, Ch. 12

Interface

A boundary or contact surface where different systems meet and interact. Interfaces are never neutral. Every interface encodes decisions about what is visible, what is actionable, and what is excluded from perception. Design interfaces, visualizations, controls, displays, shape how humans perceive and act on landscapes. Physical interfaces, a sensor array in a wetland, a robotic system in a floodplain, shape how technology and ecology register each other. A well-designed interface maintains legibility across the coupling without collapsing the distinct agencies on either side. A poorly designed interface produces the illusion of control by hiding the plurality the territory actually holds. Chapter 05 treats interface design as an epistemological act, one of the primary ways a practitioner shapes what can be known about a territory and what cannot. See also tools, technogeographies of sensing, coupled ecologies.

Reference: Ch. 05 (Tools), throughout

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L

Landscape Architecture

The design of land at various scales, from gardens to regions, addressing aesthetic, ecological, social, and functional dimensions. The dissertation argues that landscape architecture is a form of knowledge production. Its outputs are not only artifacts and experiences but propositions about how the territories it engages can be known, governed, and sustained. Its epistemological stakes are political and ethical because the conditions of territorial knowledge shape who is served, who is displaced, and who is heard. The discipline’s contribution to environmental governance under climate change depends on taking these stakes seriously rather than deferring them to adjacent fields.

Reference: Throughout

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M

Media Theory

The study of how communication technologies shape what can be known and how it can be thought. Maps, models, sensor networks, and visualizations are the media of landscape practice. They do not simply represent reality. They shape perception and possibility. What a medium foregrounds becomes available for design and governance. What the medium cannot register recedes into the field of things that do not count. Chapter 05 argues that the landscape practitioner is a media designer, and that the rigor of adaptive practice depends on treating the media of representation as objects of critical design rather than as neutral conveyances.

Reference: Ch. 05 (Tools), Ch. 07 (Technogeographies)

Model / Modeling

A representation of a system, physical, computational, or hybrid, that captures selected aspects of behavior for study or speculation. The dissertation treats models as hypotheses rather than predictions. A model reveals what its builder chose to measure and what was left out, and its value lies in exposing that selection to scrutiny rather than in producing a forecast. Chapter 06 traces this argument through the history of fluvial modeling, from scale models of rivers to contemporary computational simulations, and shows that the most productive models across that history have been those that allowed the territory to surprise the modeler. A model that cannot be wrong teaches nothing. A model that can be wrong, that produces divergence from the territory’s actual behavior, is the instrument through which adaptive epistemology advances.

Reference: Ch. 06 (Models), Ch. 05, Ch. 09 (Interactions), throughout

Multiple Intelligences

One of the six canonical frameworks. Translates the distributed cognitive character of adaptive landscape systems into a design principle. Three forms of intelligence operate simultaneously in coupled landscape systems. Human intelligence (tacit judgment, aesthetic and ethical reasoning). Biological intelligence (plant responses, sediment sorting, ecological processes). Machine intelligence, the Third Intelligence (algorithmic pattern recognition, sensor data processing, machine learning). None is reducible to the others, none is sufficient alone, and the coupling itself is cognitive. See also Third Intelligence.

Reference: Ch. 02, Ch. 11 (Co-Creation), Ch. 12

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N

Neo-Wilds

One of the three central contributions of this dissertation alongside adaptive epistemology and the cultivant. Environments that appear wild to human observers, ecologically dynamic and visually complex, yet maintained through continuous, algorithmically mediated interventions operating at scales and temporal resolutions that render them largely invisible to direct perception. The neo-wild refuses the binary between management and wildness. It is not a landscape type, not a conservation category, not a management protocol. It is a condition of knowing, the condition that becomes available when a territory is understood as holding multiple forms of knowledge simultaneously and the design task is to maintain the conditions under which that plurality remains productive. See also coupled ecologies, wildness.

Reference: Ch. 07, Ch. 10, Ch. 11, Ch. 12, Ch. 13

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O

Orphic / Promethean

Pierre Hadot’s distinction between two attitudes toward nature (Hadot 2006). The Promethean attitude tears the veil away, treating nature as a set of secrets to be extracted, mechanisms to be predicted and controlled. The Orphic attitude attends to it, approaching nature through what Goethe called “delicate empiricism.” This dissertation argues that adaptive epistemology is an Orphic project conducted with Promethean tools. The sensors, robots, and algorithms are Promethean apparatus deployed in service of an epistemological orientation that is fundamentally participatory and revisionary.

Reference: Ch. 01, Ch. 02, Ch. 08, Ch. 13

Optimization

The process of tuning a system to maximize or minimize a particular variable, efficiency, yield, profit, throughput. Optimization is a powerful operational logic and a dangerous epistemological one when deployed at territorial scales. Optimizing for one output typically compromises others. Resilience, diversity, and social equity do not survive intact when a system is tuned to a single metric. Chapter 10 develops a related critique. Robotic systems optimized for task completion fail in ecological settings that require survivability, persistence, and accumulated relational knowledge. The dissertation does not reject optimization but insists on its limits. The question is not how to optimize better but when optimization is the wrong frame.

Reference: Ch. 01, Ch. 06, Ch. 10

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P

Plurality

The constitutive condition of territories engaged through adaptive epistemology. A territory is never a single kind of thing. It holds multiple temporalities simultaneously, geological, hydrological, biological, institutional, and its knowledge is produced by multiple parties simultaneously, the designer’s instruments, the manager’s protocols, the resident’s embodied memory, the non-human community’s metabolic history. No single sensing apparatus, no single account, no single form of intelligence captures what the territory is. When two instruments disagree, when the satellite tide gauge and the in-situ conductivity sensor produce a gap between their readings, that gap is not instrument error to be resolved through calibration. It is information about a process neither sensor was designed to capture alone. Knowledge lives in the divergence between accounts rather than in either account separately. The design task is not to resolve plurality into a single authoritative reading but to maintain the conditions under which the plural accounts remain in productive relation. Questions of justice, who bears disproportionate burdens, whose knowledge is enrolled in the sensing apparatus, whose environments become legible to governance, follow directly from plurality. When communities whose knowledge is not enrolled are structurally excluded from the apparatus’s field of legibility, the apparatus does not simply miss their knowledge. It produces outcomes that cannot account for their conditions. This is the epistemological mechanism through which unjust outcomes are produced, and it is why the political dimension of adaptive epistemology follows from the epistemological claim rather than being appended to it. See also adaptive epistemology, technogeographies of sensing, multiple intelligences, reflexive stewardship.

Reference: Ch. 01, Ch. 02, Ch. 07, Ch. 08, Ch. 09, Ch. 11, Ch. 12, Ch. 13

Political Ecology

A field of study examining how power structures, institutions, and interests shape environmental management and ecological change. Not all environmental problems have purely technical solutions. They involve competing values and unequal power, and the distribution of environmental burdens tracks the distribution of political agency. Political ecology matters for adaptive practice because the technical questions, what to sense, what to model, what to intervene in, are never only technical. They are questions about which landscapes count, which communities are included in their governance, and which futures are kept open or foreclosed. Adaptive epistemology does not resolve political ecology. It makes the political stakes of technical decisions visible and insists on designing for them.

Reference: Ch. 01 (Territory), Ch. 05, Ch. 07

Practice-Based Research / Research Through Design

A methodology treating creative and design practice itself as research rather than as illustration of prior theory. Projects, prototypes, and experiments generate knowledge that cannot be arrived at by propositional reasoning alone. The practice is the primary research move. The written account is a secondary artifact whose task is to make the knowledge transportable. Chapter 03 argues that refraction, the dissertation’s methodological contribution, depends on this position. A practice that is only illustrated cannot be re-read. A practice that is itself research produces the material the dissertation then works to recover.

Reference: Ch. 03 (Refractions), throughout

Proposition / Speculative Design

An untested idea expressed in tangible form, a drawing, model, or prototype, deployed to ask a question rather than predict an outcome. Design propositions are hypotheses about how landscapes might behave or be organized under new conditions, and their function is to make those hypotheses available for testing by the territories that receive them. The proposition’s value does not depend on its eventual accuracy. A proposition that proves wrong teaches the practitioner what the territory was doing that the proposition did not see. In adaptive epistemology the proposition is the primary research instrument, the means by which the practitioner asks the landscape a question the landscape has not yet been asked.

Reference: Ch. 05 (Tools), Ch. 06, throughout

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R

Refraction

The dissertation’s primary methodological contribution. The systematic practice of retelling, passing the same body of work through different narrative media and reading each project from vantage points that its instrumental contexts never demanded. Named through the Practice Research Symposia (PRS 2020–2023). Not a method of critique but of recovery, finding in the gap between the instrumental account and the doctoral retelling properties that were always present but traveling invisibly within the original framing. See also practice-based research.

Reference: Ch. 03 (Refractions), throughout

Reflexive / Reflection

Turning attention back on one’s own practice, assumptions, and effects. Reflection in the Schönian sense is reflection-in-action and reflection-on-action, the practitioner’s capacity to attend to her own practice as it unfolds and to revise her understanding of what she is doing in light of what the practice reveals. The reflexive dimension is not introspection. It is the active cultivation of knowledge the practitioner’s own vantage point would otherwise render invisible, and its rigor depends on the practitioner’s willingness to find herself wrong.

Reference: Ch. 03 (Refractions), Ch. 02, Ch. 11

Reflexive Stewardship

One of the six canonical frameworks. Names what adaptive epistemology demands of the practitioner. The designer is not an external observer with a neutral vantage point but a participant whose knowledge is partial, whose position within the coupled system shapes what she can perceive, and whose decisions are part of the system’s dynamics rather than inputs from outside it. Reflexive stewardship takes this seriously as a structural feature of practice rather than a limitation to be overcome. The reflexive dimension is the active cultivation of knowledge the practitioner’s own vantage point makes invisible, including knowledge held in community practices, in biological responsiveness the sensors are not calibrated to measure, and in the system’s history of prior interventions. The stewardship dimension is the sustained commitment to the territory across the long timescales its own developmental logic requires. Together the two dimensions produce a practice that is neither domination nor abandonment but engaged responsibility with humility.

Reference: Ch. 01, Ch. 02, Ch. 11, Ch. 12

Regime Shift / Tipping Point

A threshold in a system beyond which behavior changes qualitatively and with great difficulty or complete irreversibility. Ecosystems can cross tipping points abruptly and with little warning, moving from one stable configuration to another from which recovery is either slow or impossible. The possibility of regime shift fundamentally changes what adaptive practice must account for. Gradual-change assumptions are inadequate when the territory can reorganize itself in a single event. The monitoring infrastructure adaptive epistemology relies on must be designed to detect the approach of thresholds as well as the trajectory of ongoing change, and the practitioner’s commitments must include the possibility that the landscape she is stewarding will become, in a single season, a different landscape.

Reference: Ch. 01, Ch. 02

Resilience / Resilient System

The capacity of a system to withstand disturbance and recover to its prior state. Resilience has become a default aspiration in environmental design and management, and the dissertation argues this is insufficient. A system that recovers to a baseline assumes the baseline is the correct reference, and under non-stationary climate conditions no baseline is stable. Resilience is a backward-looking concept, organized around return. Antifragility is forward-looking, organized around capacity. The dissertation’s argument is not that resilience is wrong but that it is the wrong horizon. Landscape design under climate change must structure territorial systems to develop capacity through disturbance rather than merely recover from it.

Reference: Ch. 01, Ch. 09, Ch. 02

Responsive Infrastructure

Small-scale, modular, adjustable, and sometimes reversible infrastructures that sense conditions and modify their behavior based on feedback. Sediment diversion structures with variable gates, adjustable weirs, floating breakwaters, biogeochemical treatment systems whose media can be reconfigured. Designed not to impose fixed solutions but to learn and respond through operation. The responsive infrastructure logic demands that flow is a variable to be designed rather than a constant to be controlled, and that the temporal sequence of operations produces forms that fixed geometry cannot.

Reference: Ch. 02, Ch. 07, Ch. 08, Ch. 09, Ch. 11

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S

Science and Technology Studies (STS)

An interdisciplinary field examining how scientific knowledge and technological systems are produced, contested, and embedded in social and political structures. STS does not treat science as neutral truth-discovery but as a social and material practice, and the dissertation draws on this tradition to argue that the sensing infrastructure, modeling protocols, and data systems adaptive practice depends on are themselves objects of critical design. The choice of sensing apparatus shapes environmental knowledge. The choice of modeling assumptions shapes what the model can reveal. The choice of visualization shapes what decision-makers can see. STS gives the dissertation the vocabulary to treat these choices as political and epistemological rather than merely technical.

Reference: Ch. 05 (Tools), Ch. 06, Ch. 07

Sensing / Sensor Network / Environmental Monitoring

Technologies that measure environmental variables, temperature, moisture, conductivity, contaminants, species presence, ground movement. Sensors are not passive instruments reporting on a pre-existing world. They actively constitute what becomes data, which territories are monitored, and which environmental crises become visible to decision-makers. A territory with a dense sensing grid is a territory that can be governed with fine resolution. A territory without sensors is a territory whose conditions, whatever they are, do not enter the governance apparatus at all. The epistemological stakes are starkest when the same apparatus produces radically different knowable conditions across sites. The geography of sensors is a geography of care and neglect, and the design of sensing infrastructure is a primary domain of technogeographies of sensing.

Reference: Ch. 05 (Tools), Ch. 07 (Technogeographies)

Stationarity / Stationarity Crisis

The assumption that natural systems fluctuate within a fixed envelope of variability, that the past is a reliable guide to the future. Milly et al. (2008) declared stationarity “dead” for water resource engineering. The stationarity crisis described in Ch01 motivates the entire dissertation. If baselines are not stable, restoration has no fixed target. If the future cannot be reliably predicted, infrastructure cannot be sized to a return interval. The predictive tradition depends on stationarity. Its collapse demands a different epistemology.

Reference: Ch. 01, Ch. 02, Ch. 06, Ch. 12

Solutionism

Evgeny Morozov’s critique of the assumption that every problem has a technological solution if only we are clever enough. Solutionism mistakes problem-solving for problem-prevention and assumes technology can bypass political conflict. The dissertation argues against solutionism in landscape practice, where the assumption produces infrastructures designed for the conditions engineers imagined rather than the territories they will inhabit. Some problems require negotiation rather than innovation. Some require durations longer than the solutions industry can sustain. Adaptive epistemology is not anti-technological but it is anti-solutionist. The sensors, robots, and computational systems it deploys are instruments of inquiry rather than deliverables of a problem-solved.

Reference: Ch. 03 (Refractions), Ch. 02

Speculative Realism / Object-Oriented Ontology (OOO)

Philosophical movements questioning the human-centered view of reality. Objects, rivers, algorithms, machines, sediment, plants, have their own being and agency and are not merely reflections of human meaning-making. The dissertation draws on this tradition to argue that landscape practice must take non-human agencies seriously as co-producers of the territories it engages. A wetland is not a passive recipient of human design. A computational system is not a neutral executor of human intent. A floodplain is not inert material awaiting specification. The design task is to structure the coupling among these agencies rather than treat them as resources or tools.

Reference: Ch. 11 (Co-Creation), Ch. 07

Synthetic Ground

Hybrid territories produced by the interweaving of biological, technical, and social systems. The term does not mean synthetic in the sense of artificial or fake, but synthesized, created through the mixing of distinct elements. A wetland with sensor networks, a river managed by computational spillways, a forest monitored and partially tended by human and ecological agents together, these are synthetic ground. Synthetic ground is what coupled ecologies produce. Where coupled ecologies names the condition, a system in which biology, computation, and infrastructure operate together rather than separately, synthetic ground names what that condition yields, the territory itself as a new kind of object, neither purely natural nor purely constructed.

Reference: Ch. 01, Ch. 08 (Landscape as Medium), throughout

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T

Technogeography / Technogeographies of Sensing

One of the six canonical frameworks. Names the mutual constitution of technology and geography, how sensing networks reshape which territories are visible to governance, how infrastructure shapes which landscapes become legible, and how political power operates through technical systems. Technogeography is not technology layered onto geography but an integrated inquiry into the relations through which sensing apparatus, computational systems, and territorial conditions produce each other. The framework’s central claim is that what gets measured shapes what gets known, what gets known shapes what gets protected, and the geography of sensors is a geography of care and neglect. The political dimension follows directly from the epistemological claim. When communities whose knowledge is not enrolled in the sensing apparatus are structurally excluded from its field of legibility, the apparatus does not simply miss their knowledge. It produces outcomes that cannot account for their conditions.

Reference: Ch. 07 (Technogeographies), Ch. 02, Ch. 11

Terrain Vague

Ignasi de Solà-Morales’s term for liminal, indeterminate landscapes that resist full categorization or control. Vacant lots, abandoned sites, edge conditions, places that escape the management regimes around them. Terrain vague landscapes are not failed landscapes but landscapes that remain partially opaque, unpredictable, and heterogeneous, and their resistance to complete management is generative rather than problematic. The concept matters for adaptive epistemology because it names a territorial condition the predictive tradition cannot accommodate, one in which indeterminacy is the landscape’s primary feature rather than a defect to be corrected.

Reference: Ch. 02

Third Intelligence

Machine or computational intelligence, the third form of intelligence alongside human intelligence and biological intelligence within the Multiple Intelligences framework. Not a simulation of human reasoning or a replacement for it but a distinct form of knowing. Computational pattern recognition operating at scales and speeds unavailable to human perception. Named in Cantrell and Zhang (2018). The Third Intelligence is nested within the Multiple Intelligences framework, not a separate concept. See also multiple intelligences, coupled ecologies.

Reference: Ch. 02, Ch. 05, Ch. 10, Ch. 11

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U

Unpredictability / Uncertainty

The condition of not being able to predict future behavior with certainty, even with complete present information. In complex systems, unpredictability is fundamental, arising from sensitive dependence on initial conditions, emergent interactions, and the coupling of multiple dynamics the modeler cannot fully resolve. The predictive tradition treats uncertainty as a temporary gap to be filled with more data, finer models, and longer monitoring records. Adaptive epistemology accepts unpredictability as permanent and builds practice around it rather than against it. The design question is not how to eliminate uncertainty but how to structure practice so that uncertainty yields learning.

Reference: Ch. 02 (Adaptive Epistemologies), throughout

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V

Viridic / Viridic Autonomy

Julian Raxworthy’s concept of biological autonomy and maintenance as a design medium. The viridic is the green, the aliveness and self-organizing capacity of living systems that the designer works with rather than against. Design engages viridic processes, growth, decay, regeneration, succession, by structuring the conditions under which those processes operate rather than by specifying the forms they produce. Where the viridic names what the living material is, the cultivant names what the designer does in relation to it. The two concepts together define the design relation this dissertation develops. See also cultivant.

Reference: Ch. 05, Ch. 11 (Co-Creation), Ch. 02

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W

Wetware

One of the six canonical frameworks. The operative layer of coupled assemblages, where biological processes whose metabolisms and behaviors are entangled with digital and robotic systems constitute a medium that is neither purely organic nor purely computational. Wetware never operates alone. It is always coupled to sensors that register its states, algorithms that interpret its signals, actuators that modulate its conditions, and institutions that govern its deployment. The design problem in wetware is the quality of the coupling itself. Tight enough for legibility, flexible enough for surprise. Organisms whose metabolic responses constitute evidence that no prior model generated are not exceptions to the design framework. They are the framework’s primary yield, what the territory decided given the conditions the design provided.

Reference: Ch. 02, Ch. 09 (Interactions), Ch. 11, Ch. 12, throughout

Wildness / Wild / Wilderness

Traditional wildness means untouched by human hand, an increasingly impossible category in the Anthropocene. Wilderness as a conservation concept depends on a human-nature separation that climate change and centuries of anthropogenic influence have dissolved. The dissertation argues for neo-wilds instead, territories shaped by both human intention and autonomous ecological processes, without the pretense of returning to pre-human conditions. The shift matters because design and conservation premised on wilderness will continue to fail against conditions that no longer produce wilderness, while design premised on neo-wilds can operate with the territories climate change is actually producing. See also neo-wilds.

Reference: Ch. 07, Ch. 11

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Cross-References by Chapter

Ch. 01 (Territory): Adaptive Epistemology, Adaptive Management, Political Ecology, Plurality, Assemblage, Reflexive Stewardship, Resilience, Regime Shift, Coupled Ecologies, Cultivant, Stationarity, Orphic/Promethean

Ch. 02 (Adaptive Epistemologies): Adaptive Epistemology, Epistemology, Epistemic Authority, Adaptive Management, Uncertainty, Feedback Loop, Reflexive Stewardship, Resilience, Antifragility, Solutionism, Terrain Vague, Indeterminacy, Neo-Wilds, Technogeography, Viridic, Wetware, Multiple Intelligences, Third Intelligence, Coupled Ecologies, Cultivant, Plurality, Stationarity, Orphic/Promethean

Ch. 03 (Refractions): Practice-Based Research, Refraction, Antifragility, Solutionism, Reflexive, Cultivant

Ch. 04 (Ecology of Practice): Cultivant, Wetware, Responsive Infrastructure, Assemblage, Third Intelligence

Ch. 05 (Tools): Interface, Visualization, Sensing, Media Theory, Boundary Object, Model, Proposition, Cultivant, Datum, Political Ecology, Plurality, Synthetic Ground, Viridic, Third Intelligence

Ch. 06 (Models): Model, Proposition, Visualization, Optimization, STS, Stationarity, Orphic/Promethean

Ch. 07 (Technogeographies): Technogeography, Sensing, Plurality, Neo-Wilds, Media Theory, Political Ecology, Cybernetics, STS, Speculative Realism, Coupled Ecologies, Cultivant, Responsive Infrastructure

Ch. 08 (Landscape as Medium): Geomorphology, Hydrology, Synthetic Ground, Interface, Cultivant, Ecological Fitness, Plurality, Responsive Infrastructure, Orphic/Promethean

Ch. 09 (Interactions): Feedback Loop, Cybernetics, Interface, Resilience, Model, Wetware, Coupled Ecologies, Responsive Infrastructure, Multiple Intelligences, Third Intelligence, Plurality

Ch. 10 (Generational Robots): Generational Robotics, Cybernetics, Wetware, Optimization, Assemblage, Neo-Wilds, Third Intelligence

Ch. 11 (Co-Creation): Cultivant, Viridic, Assemblage, Plurality, Reflexive Stewardship, Neo-Wilds, Synthetic Ground, Wetware, Speculative Realism, Wildness, Multiple Intelligences, Third Intelligence, Coupled Ecologies

Ch. 12 (Synoptic Views): All six frameworks (Multiple Intelligences, Technogeographies, Wetware, Generational Robotics, Coupled Ecologies, Reflexive Stewardship), Cultivant, Neo-Wilds, Adaptive Epistemology, Plurality, Stationarity

Ch. 13 (Vectors): Neo-Wilds, Cultivant, Orphic/Promethean, Adjacent Possible, Coupled Ecologies, Generational Robotics, Multiple Intelligences, Plurality, Responsive Infrastructure