Adaptive Approaches and Conventional Practice
The profession’s organizational structures, contractual frameworks, liability regimes, and business models evolved around assumptions fundamentally incompatible with adaptive epistemology. Conventional practice assumes that projects have definable scopes, fixed deliverables, determinable endpoints, and attributable outcomes. A practice committed to learning, monitoring, and iterative adjustment over extended timescales destabilizes each of these foundational assumptions. The incompatibility is not incidental. It is structural, and addressing it requires transformations in how the profession conceives of its services, structures relationships with clients, and positions itself within environmental governance.
Liability and the Problem of Indeterminate Outcomes
A practitioner raises the objection directly. “I can’t commit to adaptive design because if something fails in twenty years, I’ll be sued for not predicting it. The profession’s liability insurance, the courts, the whole legal machinery, assumes I’m supposed to know what will happen. Adaptive epistemology says I can’t know. How am I supposed to practice under that contradiction?”
The Current Liability Framework
Professional liability in design is structured around negligence law, the assumption that “reasonably prudent” practice can be defined and that outcomes can be attributed to design decisions (Restatement (Third) of Torts 2010). This framework depends on four premises. Foreseeability, that a competent professional could have reasonably anticipated the conditions that led to an adverse outcome. Causality, that the professional’s actions can be isolated as the cause of harm. Attributability, that harm can be traced to a specific decision or omission rather than to factors beyond the professional’s control. And a standard of care, that professional norms exist against which conduct can be measured as negligent or adequate.
Why Adaptive Epistemology Breaks Negligence Frameworks
Adaptive epistemology destabilizes all four premises.
Foreseeability collapses under complexity. When landscapes emerge from interactions among multiple agents over extended timescales, predicting the conditions that will prevail in 5, 10, or 50 years becomes systematically unreliable. The foundational premise of adaptive epistemology, that the future cannot be known reliably, contradicts the assumption that competent professionals should have foreseen adverse outcomes. Milly et al. (2008) demonstrated that stationarity, the assumption underwriting all return-interval engineering, is dead. If the statistical foundation for predicting flood frequency no longer holds, the legal premise that a competent designer should have anticipated a particular flood event loses its ground.
Causality becomes indeterminate. When a landscape system results from feedback loops among human intentions, machine learning systems, ecological processes, and multiple stakeholders, isolating any single decision’s contribution to a particular outcome may be impossible. Did the adverse condition result from the initial design parameters, from how the monitoring system was calibrated, from how decision-makers chose to respond to monitoring data, from ecological factors beyond anyone’s control, or from the interaction among all of these? The Chesapeake Bay’s ongoing management involves dozens of agencies, hundreds of monitoring stations, and decades of accumulated decisions. No single intervention can be isolated from this web (National Research Council 2004). Negligence law requires identifying a causal chain. Emergent landscape systems resist such isolation.
Attributability becomes distributed. Emergent landscape systems distribute agency across multiple actors, human designers, software algorithms, ecological processes, human managers, other stakeholders. Negligence law attributes responsibility to individual professionals. Distributed agency cannot be accommodated within that frame. When an algorithm trained on historical data produces recommendations that prove maladaptive under novel conditions, who is responsible? The designer who specified the algorithm’s parameters? The programmer who wrote the code? The manager who implemented the recommendation? The ecological system that responded in ways no historical data could have predicted? The question has no answer within the existing framework because the existing framework was built for a different kind of practice.
Standards of care become ambiguous. Negligence law depends on professional norms, established practices against which to measure whether a particular decision met the standard of care. When a field is actively developing new approaches, what constitutes standard practice? Is the standard what most practitioners do, conventional predict-and-control approaches, or the emerging monitoring-based methods the scientific literature increasingly supports? The ASLA Code of Professional Ethics (2020) does not address adaptive management, generational timescales, or distributed authorship. Different answers suggest different liability exposures, and the ambiguity itself becomes a barrier to adoption.
Process-Based Liability Frameworks
An alternative model grounds liability in process rather than outcomes, evaluating whether practitioners employed appropriate methods for navigating uncertainty rather than whether particular outcomes were achieved.
Process-based liability for adaptive landscape design would evaluate diagnostic adequacy (whether the practitioner conducted appropriate site analysis, uncertainty characterization, and stakeholder engagement before proposing interventions), design rationale (whether hypotheses about landscape dynamics were reasonable given available knowledge and whether alternatives were documented), monitoring provisions (whether the design included adequate infrastructure for detecting deviations from expectations), adaptive capacity (whether the design maintained flexibility for adjustment and established mechanisms for incorporating learning), and communication and consent (whether clients and stakeholders were informed about uncertainties and provided informed consent to approaches that acknowledge the impossibility of guaranteed results).
This framework is not hypothetical. It operates in adjacent fields. In medical practice, a physician is not liable for failure to cure if appropriate diagnostic procedures were conducted, evidence-based treatment was selected, and informed consent was obtained (Beauchamp and Childress 2019). The standard is whether appropriate process was followed, not whether the patient recovered. In natural resource management, the U.S. Department of the Interior’s Adaptive Management Technical Guide (Williams, Szaro, and Shapiro 2009) and its Applications Guide (Williams and Brown 2012) establish federal precedent for process-based evaluation. Agencies managing fisheries, forests, and wildlife under these protocols are held accountable for following appropriate processes, diagnostic inquiry, hypothesis formulation, monitoring, adjustment, rather than for achieving predetermined ecological outcomes.
Client Expectations and the Demand for Certainty
“My clients want a finished design, a construction cost, and a completion date. They don’t want to sign up for a fifty-year relationship with uncertainty. How am I supposed to sell ongoing engagement to a developer who needs to show returns, or a public agency that has to close out the project before the next election cycle?”
The Tension Between Uncertainty and Client Demands
Clients expect professionals to deliver defined products within specified timeframes and budgets. This expectation drives conventional contracting. The client pays for a design, the designer delivers a completed plan, the client implements it, and the engagement ends. Adaptive epistemology’s acknowledgment of uncertainty and emergent outcomes conflicts fundamentally with these expectations. Private-sector clients operating within market logics demand predictable returns on investment. Public-sector clients operate within budgetary cycles and political timelines favoring projects with demonstrable completions. Both resist indefinite engagements with uncertain outcomes.
Managing Expectations Through Reframing
Managing this tension requires education, reframing, and demonstrated competence. Clients need to understand why prediction fails under complexity and why adaptive approaches often outperform conventional predict-and-control strategies over long timescales (Holling 1978; Walters 1986). The work here is narrative reframing, a shift from “the designer will tell you what to do” to “we will learn together as the landscape responds.”
Rather than selling the design as a discrete product, practitioners can reframe services as stewardship, curation, and ongoing engagement. This requires developing new contractual relationships. Retainer-based engagement replaces one-time design fees with ongoing consultation and adaptive management. Phased approaches proceed through defined stages with decision points and the option to adjust before committing to full implementation. Shared governance positions clients as collaborators in decision-making rather than purchasers of a predetermined product.
The most effective strategy for managing client expectations is demonstrating competence through smaller projects that succeed. A client who experiences a 3-year adaptive management project with documented learning and successful outcomes becomes more willing to engage in longer timeframes. Phased implementation allows projects to proceed through pilot implementations at limited scale, monitoring and learning, then expansion based on what is learned. Each phase demonstrates results and builds the confidence that the next phase requires.
Financing Structures and Temporal Mismatches
“Even if a client agreed to adaptive work, how would I get paid? Fees are a percentage of construction cost. Monitoring and adjustment over decades is not a construction line item. I can’t run a practice on goodwill. The fee structures the profession operates under don’t compensate the work adaptive epistemology asks me to do.”
The Problem
Conventional fee structures assume work proceeds linearly toward completion. Design fees are charged as a percentage of construction cost. The timeline runs from design phase (3–6 months) through permitting (3–12 months) to construction (6–24 months), then project completion and the engagement ends. A practice organized around ongoing engagement across decades, monitoring, analyzing data, adjusting interventions, working with emergent conditions, does not fit this timeline. It produces a temporal mismatch between when services are provided (continuously over 50 years) and when clients expect to pay (upfront, as discrete phases).
Alternative Financing Models
Retainer arrangements for ongoing stewardship replace one-time fees with annual or monthly compensation in exchange for ongoing consultation, monitoring oversight, and adaptive management. Conservation lands where long-term stewardship is the objective, institutional properties with permanent mandates, and clients committed to legacy projects are natural contexts for this model. Land trusts hold territorial relationships in perpetuity. Stewardship endowments fund the ongoing maintenance of living systems rather than the one-time delivery of a designed artifact (Goldstein et al. 2012).
Performance-based fees tie the designer’s compensation to specified outcomes, ecosystem metrics, infrastructure function, adaptive capacity, measured over time. This aligns the designer’s financial interest with long-term success and creates an economic incentive for the sustained engagement the work requires. The emerging ecosystem services economy, carbon sequestration markets, biodiversity banking, flood mitigation credits, creates financial instruments organized around the ongoing health of living systems rather than the delivery of a product (Costanza et al. 1997; Daily and Matson 2008). The discipline that can design the territorial conditions those instruments require is positioned to participate in this economy rather than merely serve clients who do.
Hybrid structures combine upfront design fees for initial phases with long-term service contracts for stewardship. Cooperative firms and nonprofit organizations may fit this work better than conventional for-profit structures. They distribute ownership across stakeholders, sustain long-term commitment without pressure for maximum short-term returns, and permit investment in learning and knowledge-sharing.
Institutional and Regulatory Barriers
“The permit fixes the design. The code fixes the standards. The inspector approves what’s on the drawings. The moment my design changes in response to monitoring, I’m in violation of my own permit. How does a project that’s supposed to evolve get approved by systems built to prevent evolution?”
Codes, Standards, and Permit Frameworks
Building codes, zoning ordinances, and permitting processes are designed for static projects. A design is specified, reviewed against fixed standards, constructed, inspected, and approved. A project that proposes to evolve based on monitoring does not fit frameworks designed for fixed designs.
Permitting incompatibility is the most immediate barrier. Permits grant approval for a specific design. A design intended to evolve based on monitoring renders its permit invalid the moment the as-built condition departs from what was approved. Code compliance compounds the problem. Codes specify fixed requirements, minimum slopes, maximum inundation frequencies, minimum plant spacing, while a responsive practice proposes variable conditions that may exceed those limits for brief periods without compromising ecological or structural function. Inspector authority adds a third dimension. Inspectors approve work against fixed standards, and by definition a system designed to change lacks them.
Strategies for Regulatory Engagement
Performance-based codes offer the most promising regulatory alternative. Rather than specifying methods (“the channel shall be 20 feet wide”), performance-based codes specify outcomes (“the system must maintain ecological function under modeled 50-year climate scenarios”). New Zealand’s Building Code has operated on a performance-based model since 1992, demonstrating that regulatory systems can evaluate outcomes rather than prescribe methods (New Zealand Building Act 2004). The ICC Performance Code for Buildings and Facilities (2015) provides a similar framework within the U.S. context, though its application to landscape infrastructure remains undeveloped.
Adaptive permitting frameworks would structure approval as an ongoing relationship rather than a one-time event. An initial permit establishes baseline conditions and monitoring protocols. Periodic review, annual or every five years, evaluates monitoring data and adjusts permitted interventions. Permit modifications respond to what is learned. Regulatory flexibility allows variation from the original design as long as performance metrics are met. The U.S. Army Corps of Engineers’ Section 404 permitting for wetlands already contains elements of this logic, with monitoring requirements and adaptive management plans increasingly required for compensatory mitigation (National Research Council 2001).
Demonstration projects with regulatory agencies build precedent. Partnering with the Corps, EPA, or state environmental agencies on projects with regulatory flexibility built in from the start produces the institutional knowledge and documented success that future reform requires.
Professional Culture and Disciplinary Identity
“If the design emerges from ecological feedback, machine learning systems, community deliberation, and decades of adjustment by other hands, what am I actually contributing? Landscape architecture is a design discipline. I was trained to make things. If I’m orchestrating other intelligences and responding to what the land tells me, am I still a designer, or have I talked myself out of my own profession?”
The Identity Tension
Landscape architecture has defined itself through design excellence, the creation of compelling spatial experiences and aesthetically distinguished places (Meyer 2008; Waldheim 2016). This identity sits uneasily with a practice that distributes agency beyond the designer, acknowledges indeterminate outcomes, emphasizes process over product, and requires collaboration with ecologists, engineers, managers, and communities. For a profession built on the authority of the designer’s vision, the adaptive turn can feel like a dilution of professional identity.
This tension is not unique to landscape architecture. Schön (1983) identified it across the design professions, the gap between “technical rationality” and “reflection-in-action” that characterizes all practices operating under uncertainty. The adaptive turn redefines design excellence rather than abandoning it. The designer who sustains a productive relationship with a territory across decades, who reads the landscape’s responses and adjusts, who orchestrates multiple intelligences in service of outcomes richer than any she could have specified alone, is a different kind of designer. Her authority derives from the depth and duration of a specific relationship rather than from the breadth of a portable toolkit.
Pathways for Cultural Transformation
Professional recognition, awards, publications, tenure, advancement, currently privileges aesthetic achievement. Expanding the criteria to include the adaptive capacity of designed systems, long-term ecological or social outcomes, effectiveness in navigating uncertainty, and quality of stakeholder engagement broadens the definition of professional excellence without diminishing it. The ASLA Honor Awards, the most visible form of professional recognition in the United States, evaluate projects at a single moment. A recognition framework that returned to awarded projects five, ten, twenty years later would reveal which designs aged well and which failed. It would make visible the difference between the one-time gesture and the sustained relationship.
Design education traditionally emphasizes form-making, visual communication, and the designer’s authority. Curricula that cultivate capacity for inquiry and learning, comfort with ambiguity and emergence, collaboration and facilitation, understanding of complex systems, and ethical reasoning about design’s political implications prepare students for the practice the discipline now requires.
Communities of practice sustain work that is difficult to pursue in isolation (Lave and Wenger 1991; Wenger 1998). Shared documentation of lessons learned, development of common standards and methods, and collective advocacy for regulatory and professional change emerge from communities, not from individual practitioners operating alone.
Toward Reflexive Stewardship
Adaptive epistemology transforms the designer’s self-conception, from expert who possesses the knowledge to solve problems to learner whose knowledge is always incomplete and whose practice is ongoing inquiry. This is not a diminishment of professional expertise. It is a reorientation of what expertise means.
The expert learner formulates good questions, designs experiments that test understanding, and recognizes when assumptions are wrong. She reads feedback from the landscape and adjusts in response. She acts decisively under incomplete information rather than waiting for certainty that will never arrive. She works across multiple intelligences because wisdom at territorial scales cannot be held by any single discipline or designer. And she understands design’s political implications and positions interventions to support equity and resist domination.
These capacities define the standards appropriate to the scale and complexity of territorial design under climate change. They raise the bar rather than lower it. The barriers documented in this appendix, liability frameworks built for static objects, client expectations shaped by product delivery, fee structures that terminate at construction, regulatory regimes that cannot approve what they cannot fix, professional cultures that privilege the one-time gesture, are artifacts of a practice model the current moment has outgrown. The work of the coming decades is to build the institutional forms the discipline’s commitments now require.