Value Trade-offs Research Articles

Controlling Smart Technology


 
 
 This work explores some of the key challenges for incorporating appropriate ethical behavior and respect for social norms in highly-autonomous intelligent machines. Starting with the implications of Azimov's Three Laws of Robotics, we discuss the tradeoffs in human values, as encapsulated in the popular philosophical 'Trolley Problem'. We then examine some of the concerns for how smart systems model their worlds and their interactions with humans. The paper continues with a review of artificial moral agency and phronesis, and the techniques being proposed for implementing such agents. It concludes with some notes on recent research directions. This material is primarily an adaptation of work prepared by two of the authors, as part of a report of a series of workshops on machine consciousness, which were held during the summer of 2017.
 
 

Cognitive cost of empathizing with mothers and strangers by Chinese college students

BackgroundEmpathy is a choice and the product of a dynamic decision process based on motivation. The value trade-off in empathy is object-specific and people are more likely to empathize with ingroup, especially empathize with whom we are particularly concerned. The mother is an integral part of the self-concept, but the status of the mother in the self-concept of the eastern and western subjects was different. Previous studies have shown that mother is integrated in self-concept and share the same motivational hierarchy with self in Chinese brain. ObjectivesThe study's purpose is to investigate the empathic choice for mothers in Chinese culture and its regulatory mechanism. MethodsThree experiments were conducted to investigate whether Chinese college students would choose to empathize with their mothers. Experiment 1 used the Empathy Selection Task to examine the empathic choices between mother-other and stranger-other conditions with two blocks of 50 trials, and used the NASA Task Load Index to evaluate the cognitive costs for each deck option presented; Experiment 2 induced a disagreeable emotional state and replicate the same conditions of the experiment 1; Experiment 3 induced an agreeable emotional state and replicate the same conditions of the experiment one. Results and conclusionsThe results showed that: (1) participants tended to avoid empathizing with their mothers and strangers for to the cognitive cost; (2) participants were more likely to choose empathy when the target was their mother rather than when the target was a stranger-other, due to the social reward; and (3) participants were more likely to opt to empathize with their mothers when positive emotions towards their mothers were primed. The results suggested that empathy is a choice and the product of a dynamic decision process based on motivation and the value trade-off in empathy is object-specific.

Covid-19 PPE distribution planning with demand priorities and supply uncertainties

The recent Covid-19 outbreak put healthcare resources under enormous pressure. Governments and healthcare authorities faced major challenges in securing and delivering critical supplies such as personal protective equipment (PPE) and test kits. As timely distribution of critical supplies exceeded government resources, certain sectors, negatively impacted by the pandemic, offered their storage and distribution capabilities; both helping with the crisis and creating economic revenue. We investigate the problem of optimally leveraging the capacity and efficiency of underutilized distribution networks to enhance the capability of government supply networks to meet healthcare needs for critical supplies. We model the problem as a dynamic distribution planning problem that decides on the re-purposing of storage facilities, the allocation of demand, and the timely distribution of limited PPE supplies to different jurisdictions. From a resource provider’s perspective, the goal is to maximize demand fulfillment based on priorities set out by the government, as well as maximize economic value to participating networks. As uncertainty is a prevalent feature of the problem, we adopt a robust framework due to the lack of historical data on such supply uncertainties. We provide a mixed integer programming formulation for the adversarial problem and present a cutting plane algorithm to solve the robust model efficiently under both polyhedral and ellipsoidal uncertainty sets. We build a case study for the province of Ontario, Canada, and run extensive analysis of the service and economic value trade-off, and the effects of modeling demand priorities and supply uncertainties.

Tropical wet and dry forest tree species exhibit contrasting hydraulic architecture

Forest tree species in wet and dry habitats are generally considered functionally divergent in leaf and stem functional traits such as leaf area, leaf mass per area, wood density and tree height. Yet, these traits have limited utility for characterizing plant water transport adaptations and strategies. We tested the hypothesis that wet and dry forest trees are functionally divergent in their water conducting apparatus. To assess trait differences and adaptations, we sampled branch wood from nine same-genus species-pairs, each species-pair occurring respectively in the wet (>1500 mm annual rainfall) and dry forest (<800 mm annual rainfall) in tropical Queensland, Australia. From branch wood sections, we measured anatomical traits involved in water conduction (stem vessel dimensions, fractions and their spatial distributions, theoretical water conductivities), storage (parenchyma), and providing hydraulic safety functions (fibres fractions, vulnerability index). Relative to wet forest species, we found on overall that dry forest trees had trait combinations showing adaptations to aridity such as more storage tissue and greater vessel connectivity which may provide alternative pathways for water transport should vessel embolism occur. Habitat is an environmental filter that influences trait behaviour across related species. However, depending on the genera, species in both dry and wet forest habitats also exhibit various tradeoffs in trait values, highlighting the existence of diverse hydraulic strategies within wet forest and dry forest trees.

Adaptation to Social–Ecological Change in Northwestern Pakistan: Household Strategies and Decision-making Processes

Values are important factors shaping people's perceptions of social-ecological changes and the associated impacts, acceptable risk, and successful adaptation to various changes; however, little empirical work has examined how values interact to influence adaptation decision-making. We drew on 25 semi-structured interviews with community leaders, farmers, fisherfolk, and individuals in the tourism industry in northwestern Pakistan to identify types of adaptations employed by households and explore what values were present in these households' adaptation decisions. Our results show that households frequently employed environmental management and livelihood diversification to adapt to a wide range of social-ecological change. We found that multiple values influenced household adaptation and that employing an adaptation strategy often involved a tradeoff of values. We also found that household adaptations were embedded in multi-scalar social, cultural, economic, and political processes that could constrain or conflict with such adaptations. Overall, our research illustrates the complex influence of values on household adaptation decisions and highlights the need to further understand how adaptations are aligned, or misaligned, with stakeholders' diverse values in order to inform more equitable adaptation to social-ecological change.

Navigating loss and value trade-offs in a changing climate

Climate change puts at risk what people value in their everyday lives, with evidence of harm and suffering already taking place across all regions of the world. As societies slowly come to grips with the possibility of not being able to save everything that is valued, there is an urgent need to identify what is most important for individuals and groups, to prioritise action and prevent or minimise intolerable losses. Yet, people’s priorities vary greatly; individual choices are contingent on what people hold dear in the places they inhabit, which in turn is shaped by their positioning in society and everyday experiences with harm and loss. In this article, we draw on recent epistemological and ontological engagements with climate adaptation and loss from the social sciences to examine how individuals consider their options to protect what they value most in the face of climatic impacts. Drawing on 80+ interviews with residents along an urban–rural transect in Western Australia, we first demonstrate the complex and dynamic nature of individual decision-making ‘worlds’. We do this by using an innovative methodology that allows participants to visualise their value trade-offs, in the present and the future. We then examine similarities and differences between these worlds to show where priorities converge and diverge. We argue that attention to intersecting, conflicting, and potentially uncomfortable processes of prioritisation, and the losses and omissions they (re)produce, provide crucial entry points to negotiate adaptation and navigate risks within and across communities in ways that are inclusive, fair, and sustainable.

Tradeoffs in habitat value to maximize natural resource benefits from coastal restoration in a rapidly eroding wetland: is monitoring land area sufficient?

Louisiana contains nearly 40% of estuarine herbaceous wetlands in the contiguous United States, supporting valuable ecosystem services and providing significant economic benefits to the state and the entire United States. However, coastal Louisiana is a hotspot for rapid land loss from factors including hurricanes, land use change, and high subsidence rates contributing to high relative sea‐level rise. The Coastal Protection and Restoration Authority (CPRA) was established after major hurricanes in 2005 to coordinate coastal restoration in Louisiana and develop the Louisiana Coastal Master Plan. The LA Coastal Master Plan uses numerical modeling of multiple scenarios to select a suite of restoration projects based on maximum land area created and flood reduction (as proxies for ecosystem value). Using potential value to aquatic, terrestrial, and social resources, our work compared habitat value of shallow open water areas to emergent wetland. While potential resource benefits varied by emergent wetland salinity type and emergent wetland versus water, they were similar, suggesting that restoration planning based primarily on wetland land area may not achieve the maximum possible ecosystem benefits. After nearly 20 years of integrated restoration planning in coastal Louisiana, a reassessment of restoration planning decision drivers may be beneficial to ensure maximum benefits from coastal restoration. As a result of the Deepwater Horizon oil spill, settlement funds will be a major support to coastal restoration in Louisiana for many years. Assessing potential habitat value to multiple natural and social resources in Louisiana has potential to maximize synergy with large northern Gulf of Mexico restoration programs.

Commercial Mhealth Apps and Exploitative Value Trade-Offs

"Mobile health (mHealth) apps are becoming progressively important for primary care, disease prevention, and public health interventions. They promise to empower its users by offering them more independence, better access to health services, and more insight into their health status resulting in better informed medical decision-making and lifestyle changes. Disadvantages of mHealth apps often include a lack of privacy protection, a decrease in personal attachment, and the acceptance of a normative conception of health challenging the user’s self-determination. Privacy, attachment, and self-determination are, alongside health, linked to fundamental dimensions of human well-being. Users of mHealth apps can either accept those disadvantages or abstain from using this technology entirely. Users, therefore, have to trade-off fundamental dimensions of well-being to gain a certain health benefit if they want to use commercial mHealth apps. This presentation will clarify the values most relevant in this context, focusing on privacy, self-determination, and attachment. I claim that these values imply fundamental conditions of well-being that should not be undermined, especially in the context of health care. I will argue that the value trade-offs users must engage in are an instance of mutually advantageous agreements by which the provider of the app takes unfair advantage of the user. This renders such agreements exploitative. I will discuss the notion of exploitation that I think applies in this case and explain under what circumstances exploitative agreements that come with the use of commercial mHealth apps oppose the empowerment narrative. "

Respecting Human Autonomy in Critical Care Clinical Decision Support

Clinical Decision Support (CDS) aims at helping physicians optimize their decisions. However, as each patient is unique in their characteristics and preferences, it is difficult to define the optimal outcome. Human physicians should retain autonomy over their decisions, to ensure that tradeoffs are made in a way that fits the unique patient. We tend to consider autonomy in the sense of not influencing decision-making. However, as CDS aims to improve decision-making, its very aim is to influence decision-making. We advocate for an alternative notion of autonomy as enabling the physician to make decisions in accordance with their professional goals and values and the goals and values of the patient. This perspective retains the role of autonomy as a gatekeeper for safeguarding other human values, while letting go of the idea that CDS should not influence the physician in any way. Rather than trying to refrain from incorporating human values into CDS, we should instead aim for a value-aware CDS that actively supports the physician in considering tradeoffs in human values. We suggest a conversational AI approach to enable the CDS to become value-aware and the use of story structures to help the user integrate facts and data-driven learnings provided by the CDS with their own value judgements in a natural way.

Understanding the value of adhering to or adapting evidence-based interventions: a study protocol of a discrete choice experiment

BackgroundWhereas the value of an evidence-based intervention (EBI) is often determined by its effect on clinical outcomes, the value of implementing and using EBIs in practice is broader, reflecting qualities such as appropriateness, equity, costs, and impact. Reconciling these value conflicts involves a complicated decision process that has received very limited scholarly attention. Inspired by studies on decision-making, the objective of this project is to explore how practitioners appraise the values of different outcomes and to test how this appraisal influences their decisions surrounding the so-called fidelity–adaptation dilemma. This dilemma is related to the balance between using an EBI as it was designed (to ensure its effectiveness) and making appropriate adaptations (to ensure alignment with constraints and possibilities in the local context).MethodsThis project consists of three sub-studies. The participants will be professionals leading evidence-based parental programs in Sweden and, in Sub-study 1, parents and decision-makers. Sub-study 1 will use sequential focus groups and individual interviews to explore parameters that influence fidelity and adaptation decisions—the dilemmas encountered, available options, how outcomes are valued by practitioners as well as other stakeholders, and value trade-offs. Sub-study 2 is a discrete choice experiment that will test how value appraisals influence decision-making using data from Sub-study 1 as input. Sub-study 3 uses a mixed-method design, with findings from the two preceding sub-studies as input in focus group interviews to investigate how practitioners make sense of findings from optimal decision situations (experiment) and constrained, real-world decision situations.DiscussionThe project will offer unique insights into decision-making processes that influence how EBIs are used in practice. Such knowledge is needed for a more granular understanding of how practitioners manage the fidelity–adaptation dilemma and thus, ultimately, how the value of EBI implementation can be optimized. This study contributes to our knowledge of what happens once EBIs are adopted—that is, the gap between the way in which EBIs are intended to be used and the way in which they are used in practice.

The legitimacy gap of algorithmic decision-making in the public sector: Why it arises and how to address it

Algorithmic decision-making (ADM) systems are increasingly adopted by the state to support various administrative functions and improve the effectiveness and efficiency of public services, such as in unemployment services or policing. While these systems create challenges of opaqueness, unfairness, and value trade-offs, the present paper argues that a more fundamental challenge lies in the way these systems alter the epistemic bases of decision-making. It contributes to the literature by highlighting why procedural standards of legitimacy in operative decision-making no longer suffice for certain applications and by discussing how the resulting legitimacy gap can be addressed through stakeholder involvement. By adapting research on participatory technology assessments to the particularities of ADM system design, it is possible to identify the core challenges of such a stakeholder process and the necessary steps to deal with them.

Critical Systematic Review of Zoonoses and Transboundary Animal Diseases' Prioritization in Africa.

Background: Disease prioritization aims to enhance resource use efficiency concerning human and animal health systems’ preparedness and response to the most important problems for the optimization of beneficial outcomes. In sub-Sahara Africa (SSA), several prioritizations of zoonoses and transboundary animal diseases (TADs) have been implemented at different scales to characterize potential disease impacts. Method and principal findings: In this systematic review, we analyze the methodologies used, outcomes, and their relevance by discussing criteria required to align decision-makers’ perceptions of impacts to those of other stakeholders for different prioritization in SSA. In general, the sectorial representativeness of stakeholders for processes implemented with the support of international partners showed slight differences with the absence of local stakeholders. Whatever the tool prioritized, zoonoses were similar in general because of the structured nature of those tools in assessing decision-makers’ preferences through value trade-offs between criteria while ensuring transparency and reproducibility. However, by involving field practitioners and farmers, there were different outcomes with processes concerning only decision makers and experts who were more sensitive to infectious TADs, while the former raised parasitic disease constraints. In this context, multicriteria decision analysis-based zoonoses and TADs prioritizations involving a balanced participation of stakeholders might contribute to bridging these divergences, whatever the scale. Conclusion and significance: Prioritization processes were important steps toward building and harmonizing technical laboratory and surveillance networks to coordinate projects to address priority zoonoses and TADs at the country and/or sub-regional level. Those processes should be enhanced.

Celebrity selection in social media ecosystems: a flexible and interactive framework

PurposeQuantitative objective studies on the problem of celebrity selection are lacking. Furthermore, existing research does not recognize the group decision-making nature and the possibility of customer involvement in celebrity or influencer selection for social media marketing. This study conceptualizes celebrity selection as a multi-attribute group decision-making problem while deriving the final ranking of celebrities/influencers using interactive and flexible criteria based on the value tradeoff approach. The article thus proposes and demonstrates a quantitative objective method of celebrity selection for a brand or campaign in an interactive manner incorporating customer's preferences as well.Design/methodology/approachEach decision-maker's preferences for celebrity selection criteria are objectively captured and converted into an overall group preference using a modified generalized fuzzy evaluation method (MGFEM). The final ranking of celebrities is then derived from an interactive and criteria-based value tradeoff approach using the flexible and interactive tradeoff method.FindingsThe approach gives a different ranking of celebrities for two campaigns based on group members' perceived importance of the selection criteria in different scenarios. This group includes decision-makers (DMs) from the brand, marketing communication agency and brand's customers. Further, each group member has an almost equal say in the decision-making based on fuzzy evaluation and an interactive and flexible value tradeoff approach to celebrity selection for receiving a rank order.Research limitations/implicationsThe approach uses secondary data on celebrities and hypothetical scenarios. Comparison with other methods is difficult, as no other study proposes a multi-criteria group decision-making approach to celebrity selection especially in a social media context.Practical implicationsThis approach can help DMs make more informed, objective and effective decisions on celebrity selection for their brands or campaigns. It recognizes that there are multiple stakeholders, including the end customers, each of whose views is objectively considered in the aspects of group decision-making through a fuzzy evaluation method. Further, this study provides a selection mechanism for a given context of endorsement by objectively and interactively encapsulating stakeholder preferences.Originality/valueThis robust and holistic approach to celebrity selection can help DMs objectively make consensual decisions with partial or complete information. This quantitative approach contributes to the literature on selection mechanisms of influencers, celebrities, social media opinion leaders etc. by providing a methodological aid that encompasses aspects of interactive group decision-making for a given context. Moreover, this method is useful to DMs and stakeholders in understanding and incorporating the effect of nature or context of the brand and the campaign type in the selection of a celebrity or an influencer.

Autonomy or Security? Core Value Trade-Offs and Spillovers in Servicescapes for Vulnerable Customers

This study deepens knowledge on the implementation of core values in servicescapes by analyzing how core value trade-offs and spillovers occur within servicescapes and how vulnerable stakeholders cope with them. We use an explorative approach and draw on rich data collected in two nursing homes. Our study demonstrates how the autonomy-security trade-offs originate in different dimensions of the servicescapes. Further analysis reveals how individual customers may conflict with the core values and core purposes of the respective servicescapes. We also contribute to the discussion on customer vulnerability by considering vulnerability in the extended customer entity and by identifying the active coping mechanisms of vulnerable customers. Practitioners can increase the quality of care by identifying and taking into account the core values of both vulnerable primary and secondary customers and by deliberately supporting their coping with core value trade-offs and spillovers.

The Influence of Business Incentives and Attitudes on Ethics Discourse in the Information Technology Industry

As information technologies have become synonymous with progress in modern society, several ethical concerns have surfaced about their societal implications. In the past few decades, information technologies have had a value-laden impact on social evolution. However, there is limited agreement on the responsibility of businesses and innovators concerning the ethical aspects of information technologies. There is a need to understand the role of business incentives and attitudes in driving technological progress and to understand how they steer the ethics discourse on technology. In the information technology industry, there is an observed trivialization of ethics supported by a business driven and technology-centric approach to ethics. This trivialization rests on hardened beliefs, ideologies, and arguments which hint at reduced accountability for business and tend to individualize social responsibility. The phenomenon of ethics trivialization needs to be duly addressed to resolve the tensions between business needs and ethical concerns. This paper has identified from literature and conceptually analyzed the beliefs and ideologies underlying ethics trivialization which undermine ethics in business contexts. The paper has attempted to address the business concerns indicated by this phenomenon as well as highlight the weaknesses of its assumptions, rhetoric, and justifications. The aim of this paper is to systematically present the justifications in favor of and against the practice of ethics trivialization in the information technology domain, thereby highlighting the need to develop frameworks for assessment of ethical responsibility, accountability, and democratization of the value trade-offs involved in the design of technologies.

Reconciling ACEA and MCDA: is there a way forward for measuring cost-effectiveness in the U.S. healthcare setting?

Background The ISPOR Special Task Force (STF) on US Value Assessment Frameworks was agnostic about exactly how to implement the quality-adjusted life year (QALY) as a key element in an overall cost-effectiveness evaluation. But the STF recommended using the cost-per-QALY gained as a starting point in deliberations about including a new technology in a health plan benefit. The STF offered two major alternative approaches—augmented cost-effectiveness analysis (ACEA) and multi-criteria decision analysis (MCDA)—while emphasizing the need to apply either a willingness-to-pay (WTP) or opportunity cost threshold rule to operationalize the inclusion decision.MethodsThe MCDA model uses the multi-attribute utility function. The ACEA model is based on the expected utility theory. In both ACEA and MCDA models, value trade-offs are derived in a hierarchical model with two high-level objectives which measure overall health gain separately from financial attributes affecting consumption.ResultsEven though value trade-offs can be elicited or revealed without considering budget constraints, we demonstrate that they can be used similarly to WTP-based cost-effectiveness thresholds for resource allocation decisions. The consideration of how costs of medical technology, income, and severity of disease affect value trade-offs demonstrates, however, that reconciling decisions in ACEA and MCDA requires that health and consumption are either complements or independent attributes.ConclusionsWe conclude that value trade-offs derived either from ACEA or MCDA move similarly with changes in main factors considered by enrollees and decision makers—costs of the medical technology, income, and severity of disease. Consequently, this complementarity between health and consumption is a necessary condition for reconciling ACEA and MCDA. Moreover, their similarity would be further enhanced if the QALY is used as the key attribute or anchor in the MCDA value function: the choice between the two is a pragmatic question that is still open.

Investigating consumers' path to showrooming: a perceived value-based perspective

PurposeGrounded on the concept of a value trade-off, the authors of this study seek to address the question of why some people visit an offline store before purchasing online. The authors offer a novel perspective by identifying and describing the perceived value drivers (benefits and sacrifices) associated with showrooming in the context of the branded apparel segment.Design/methodology/approachData collected from 318 showrooming customers were analysed in the context of the proposed perceived value framework using the structural equation modelling method.FindingsThe results showed that enhanced product evaluation, monetary savings, smart shopper feelings and perceived enjoyment (positively) and search costs and online risk (negatively) influenced consumers' showrooming value perceptions as benefits and sacrifices associated with showrooming. Only perceived consumption delay emerged as insignificant. As expected, perceived showrooming value was identified as an important driver of showrooming intentions.Research limitations/implicationsThe application of this paper's findings is limited to the branded apparel segment. The model can be tested in other sectors with a larger sample size to gain deeper insights.Practical implicationsThe findings can be utilized by brick-and-mortar retailers to retain showrooming customers.Originality/valueThe authors of the current research work contribute to a better understanding of showrooming by adopting a perceived-value-based perspective, which offers an alternative yet effective route for understanding showrooming.

The interrelation between data and AI ethics in the context of impact assessments

In the growing literature on artificial intelligence (AI) impact assessments, the literature on data protection impact assessments is heavily referenced. Given the relative maturity of the data protection debate and that it has translated into legal codification, it is indeed a natural place to start for AI. In this article, we anticipate directions in what we believe will become a dominant and impactful forthcoming debate, namely, how to conceptualise the relationship between data protection and AI impact. We begin by discussing the value canvas i.e. the ethical principles that underpin data and AI ethics, and discuss how these are instantiated in the context of value trade-offs when the ethics are applied. Following this, we map three kinds of relationships that can be envisioned between data and AI ethics, and then close with a discussion of asymmetry in value trade-offs when privacy and fairness are concerned.

Decisi-o-rama: An open-source Python library for multi-attribute value/utility decision analysis

Environmental decisions are complex as they are multi-dimensional, highly interdisciplinary and not only involve multiple stakeholders with conflicting objectives, but also many possible alternatives with uncertain consequences. The difficulty lies in making trade-offs between tough value trade-offs on the one hand while appreciating uncertain impacts of alternatives on the other. To support decisions tackling such problems, a combination of multi-criteria decision analysis (MCDA) and environmental models is promising yet limited by the available MCDA software. Here, we present Decisi-o-rama, an open-source Python MCDA library for single and sets (portfolios) of alternatives in the context of multi-attribute value/utility theory (MAUT/MAVT). Its development was driven by four aspirations that are crucial for usability in the context of environmental decision-making: (1) interoperability, (2) uncertainty-awareness, (3) computational efficiency, and (4) integration with portfolio decisions. The results indicate that these aspirations are met, thus facilitating the adoption of MCDA methods by environmental researchers and practitioners.

Local adaptation in island populations of Plectritis congesta that differ in historic exposure to ungulate browsers.

Spatial variation in the occurrence of browsing ungulates can drive local adaptation in plant traits but also lead to trade-offs among traits potentially enhancing competitive ability versus resistance or tolerance to browsing. Plectritis congesta populations co-occurring on islands with and without ungulates offer striking examples of population-level variation in traits, such as plant height and fruit morphology, which may also affect fitness. We monitored split-plot common gardens exposed to and protected from browsing ungulates for 5 yr to test for local adaptation (local vs. foreign comparison) in P.congesta by comparing the survival and fecundity of 4,392 sown fruits from six island populations where ungulates were present ("historically exposed") and six where they were absent ("historically naïve"). Our results indicate that local adaptation to browsing in P.congesta favored rosette formation, delayed flowering, reduced height, and the production of wingless fruits, all of which appeared to enhance survival, fecundity, and population growth in plants from populations historically exposed to ungulate browsers, as compared to plants from historically naïve populations. In contrast, plants from historically naïve populations displayed higher relative fitness in the absence of ungulates, increased in height, flowered earlier, and produced fewer but larger, winged fruits, often in large terminal inflorescences. Our results support the hypothesis that variation in the occurrence of ungulate browsers has led to (1) spatial heterogeneity in natural selection and rapid adaptation in P.congesta populations on islands, and (2) context-dependent trade-offs in the fitness value of traits linked to the resistance or tolerance of browsing versus success in competition for light, pollinators, or other resources. Because patterns of selection in plant communities will vary with the introduction or extirpation of top predators or browsers, we suggest historical context, local adaptation, and the capacity for rapid adaptation should be a focal concern of those aiming to maximize or predict population persistence under environmental change in conservation plans.