We commend Ko and Neuberg on a broad, integrative perspective of affordance-management across the lifespan. We contend that their framework gains predictive power when we add complementary theories. For example, Kenrick et al. (Reference Kenrick, Griskevicius, Neuberg and Schaller2010) clarify which needs are prioritized (e.g., immediate physiological needs over status/esteem), influencing how affordances are perceived. Similarly, Boon-Falleur, Baumard, and André (Reference Boon-Falleur, Baumard and André2025) show how resource availability and urgency alter the marginal benefits of needs, resulting in different perceived affordances.
Because humans are an obligatory social species, many affordances are provided by other people within local ecologies (e.g., care, protection, resources, coalitional support, information, mates, and modeling of skills). Navigating these environments requires selecting partners who provide commodities that best match one’s needs at each life stage. This logic aligns with biological market theory, where market-like forces shape social exchange and partner choice, with organisms tailoring their strategies to the shifting supply and demand of potential partners and commodities (Barclay, Reference Barclay2013; Noë & Hammerstein, Reference Noë and Hammerstein1994, Reference Noë and Hammerstein1995). Framed this way, the same objective ecology affords different options to different people at different times, depending on who is available, what they want, and what they can credibly offer at a given life stage.
Using a biological markets perspective, we outline the following process: environmental variation shapes perceived affordances, which aggregate into population-level market dynamics (prices, norms); then markets, in turn, remake local ecologies, and shape behavioral strategies across life-stages at the individual-level. That is:
-
1.
Environmental variation shapes affordances. As Ko and Neuberg emphasize, environments vary on many dimensions (e.g., kin prevalence, population size, density, age–sex structure, safety, and norms). This variation changes the perceived opportunities and threats within local environments at each life stage, relative to the individual’s goals, determining the relevant affordances.
-
2.
Affordances shift market dynamics (population-level). Ecological variation has at least two effects. First, it influences which traits individuals seek from partners (see above), thereby altering population norms and “prices” in the market. Second, it changes the market structure itself. For example, large populations mean a bigger market, more competition over partners, and therefore more advertising of one’s traits (e.g., Barclay, Reference Barclay2011); sex ratio shifts the balance of supply and demand between men and women, while demographic structure shifts the balance of needs and contributions across ages. Some ecologies affect the degree of partner choice itself, e.g., people are freer to switch social partners in environments with fewer external threats like scarcity, conflict, and disease (Gelfand et al., Reference Gelfand, Raver, Nishii, Leslie, Lun, Lim and Yamaguchi2011; Harrington & Gelfand, Reference Harrington and Gelfand2014) or with a history of wheat instead of rice farming (Thomson et al., Reference Thomson, Yuki, Talhelm, Schug, Kito, Ayanian and Visserman2018). Thus, ecology affects not only the desirability and availability of different traits but also people’s ability to obtain them.
-
3.
Biological markets create ecological feedback. This relationship is bidirectional, where market dynamics affect ecology. Both switching costs (e.g., relational mobility) and strategy selection affect who associates with whom, and the local social rules – altering kin prevalence, density, sex ratio, safety, and norms within environments. Consequences vary according to an individual’s life stage; for example, the migration of young adults for university creates denser mating markets in university cities (vs. thinner markets in home towns); women’s rights lowers the cost of switching partners, impacting marriage norms and family structures. These moves create environmental changes – shifting the affordance landscape for the next generation (e.g., ecological approach to cultural accumulation; Baumard & André, Reference Baumard and André2025). These population-level shifts alter the market “prices,” setting new conditions for individuals across life stages, who then calibrate their behavioral strategies.
-
4.
Market dynamics calibrate individual strategies (actor-level). Given those shifted “prices,” individuals calibrate their goals and strategies by (a) tracking market dynamics (how many viable partners/allies), (b) tracking their own relative “value” or desirability within the environment, (c) navigating switching costs (exit/entry barriers), and (d) investing to raise their relative market value (developing and advertising their traits). Which strategies are used depends on life stage, sex, status, network position, and mate/ally value – and the individual’s goals. For example, in dense, high-observability markets, adolescents may up-regulate reputation signals and assort more strongly; in sparse markets with high exit costs, parents may prioritize retention (e.g., deepening kin ties, relocating toward alloparents); in male-biased university cohorts, women become more choosy while men allocate more resources on attracting partners (Griskevicius et al., Reference Griskevicius, Tybur, Ackerman, Delton, Robertson and White2012). Indeed, biological-market work shows that partner choice amplifies cooperation and selectivity in these conditions (Barclay, Reference Barclay2013, Reference Barclay2016).
Market dynamics and affordances across the lifespan
As goals shift with development, the active markets (caregiving, peer/status, mating, and support) and their parameters (partner availability, switching costs, and relative market value) reconfigure. Then, as people choose partners, search resolves into commitment: the pool of viable alternatives narrows, exit becomes costlier, and one’s relative value changes with accrued resources, reputation, and constraints. When market conditions change (who’s available, how visible people are, and cost to switch partners), the same environment offers different affordances – opportunities or threats – depending on current goals. Notably, our claim is not only that goals change with age, but that market composition (who’s searching, and for what) affects the demand for traits, thereby changing what people display and choose, conditional on their market desirability and the amount of competition. As cohorts move through life stages, the percentage and profile of searchers (and potential partners) shift the demand-weighted “prices” and “costs” of traits. Importantly, one’s early market outcomes (e.g., adolescent status, partnerships, and relocation) impact later environments, thereby changing the affordance landscapes and creating path dependence with age.
By integrating a market-based perspective, we can measure relevant market parameters alongside life-stage goals to predict when identical environments will present different affordances to different individuals. Framing Ko & Neuberg’s affordances within biological markets yields concrete, testable predictions by specifying: (i) the life-stage goals, (ii) affordances, and (iii) market parameters (e.g., density, switching costs, and actor value). The resulting interaction predicts who perceives which affordances, when, and why those perceptions convert into particular strategies (e.g., dispersion vs. partner retention; generosity vs. threat displays). Thus, this perspective bridges micro–macro dynamics: ecological inputs impact market parameters, influencing strategy selection, leading to norm shifts that reshape future affordances.
We commend Ko and Neuberg on a broad, integrative perspective of affordance-management across the lifespan. We contend that their framework gains predictive power when we add complementary theories. For example, Kenrick et al. (Reference Kenrick, Griskevicius, Neuberg and Schaller2010) clarify which needs are prioritized (e.g., immediate physiological needs over status/esteem), influencing how affordances are perceived. Similarly, Boon-Falleur, Baumard, and André (Reference Boon-Falleur, Baumard and André2025) show how resource availability and urgency alter the marginal benefits of needs, resulting in different perceived affordances.
Because humans are an obligatory social species, many affordances are provided by other people within local ecologies (e.g., care, protection, resources, coalitional support, information, mates, and modeling of skills). Navigating these environments requires selecting partners who provide commodities that best match one’s needs at each life stage. This logic aligns with biological market theory, where market-like forces shape social exchange and partner choice, with organisms tailoring their strategies to the shifting supply and demand of potential partners and commodities (Barclay, Reference Barclay2013; Noë & Hammerstein, Reference Noë and Hammerstein1994, Reference Noë and Hammerstein1995). Framed this way, the same objective ecology affords different options to different people at different times, depending on who is available, what they want, and what they can credibly offer at a given life stage.
Using a biological markets perspective, we outline the following process: environmental variation shapes perceived affordances, which aggregate into population-level market dynamics (prices, norms); then markets, in turn, remake local ecologies, and shape behavioral strategies across life-stages at the individual-level. That is:
1. Environmental variation shapes affordances. As Ko and Neuberg emphasize, environments vary on many dimensions (e.g., kin prevalence, population size, density, age–sex structure, safety, and norms). This variation changes the perceived opportunities and threats within local environments at each life stage, relative to the individual’s goals, determining the relevant affordances.
2. Affordances shift market dynamics (population-level). Ecological variation has at least two effects. First, it influences which traits individuals seek from partners (see above), thereby altering population norms and “prices” in the market. Second, it changes the market structure itself. For example, large populations mean a bigger market, more competition over partners, and therefore more advertising of one’s traits (e.g., Barclay, Reference Barclay2011); sex ratio shifts the balance of supply and demand between men and women, while demographic structure shifts the balance of needs and contributions across ages. Some ecologies affect the degree of partner choice itself, e.g., people are freer to switch social partners in environments with fewer external threats like scarcity, conflict, and disease (Gelfand et al., Reference Gelfand, Raver, Nishii, Leslie, Lun, Lim and Yamaguchi2011; Harrington & Gelfand, Reference Harrington and Gelfand2014) or with a history of wheat instead of rice farming (Thomson et al., Reference Thomson, Yuki, Talhelm, Schug, Kito, Ayanian and Visserman2018). Thus, ecology affects not only the desirability and availability of different traits but also people’s ability to obtain them.
3. Biological markets create ecological feedback. This relationship is bidirectional, where market dynamics affect ecology. Both switching costs (e.g., relational mobility) and strategy selection affect who associates with whom, and the local social rules – altering kin prevalence, density, sex ratio, safety, and norms within environments. Consequences vary according to an individual’s life stage; for example, the migration of young adults for university creates denser mating markets in university cities (vs. thinner markets in home towns); women’s rights lowers the cost of switching partners, impacting marriage norms and family structures. These moves create environmental changes – shifting the affordance landscape for the next generation (e.g., ecological approach to cultural accumulation; Baumard & André, Reference Baumard and André2025). These population-level shifts alter the market “prices,” setting new conditions for individuals across life stages, who then calibrate their behavioral strategies.
4. Market dynamics calibrate individual strategies (actor-level). Given those shifted “prices,” individuals calibrate their goals and strategies by (a) tracking market dynamics (how many viable partners/allies), (b) tracking their own relative “value” or desirability within the environment, (c) navigating switching costs (exit/entry barriers), and (d) investing to raise their relative market value (developing and advertising their traits). Which strategies are used depends on life stage, sex, status, network position, and mate/ally value – and the individual’s goals. For example, in dense, high-observability markets, adolescents may up-regulate reputation signals and assort more strongly; in sparse markets with high exit costs, parents may prioritize retention (e.g., deepening kin ties, relocating toward alloparents); in male-biased university cohorts, women become more choosy while men allocate more resources on attracting partners (Griskevicius et al., Reference Griskevicius, Tybur, Ackerman, Delton, Robertson and White2012). Indeed, biological-market work shows that partner choice amplifies cooperation and selectivity in these conditions (Barclay, Reference Barclay2013, Reference Barclay2016).
Market dynamics and affordances across the lifespan
As goals shift with development, the active markets (caregiving, peer/status, mating, and support) and their parameters (partner availability, switching costs, and relative market value) reconfigure. Then, as people choose partners, search resolves into commitment: the pool of viable alternatives narrows, exit becomes costlier, and one’s relative value changes with accrued resources, reputation, and constraints. When market conditions change (who’s available, how visible people are, and cost to switch partners), the same environment offers different affordances – opportunities or threats – depending on current goals. Notably, our claim is not only that goals change with age, but that market composition (who’s searching, and for what) affects the demand for traits, thereby changing what people display and choose, conditional on their market desirability and the amount of competition. As cohorts move through life stages, the percentage and profile of searchers (and potential partners) shift the demand-weighted “prices” and “costs” of traits. Importantly, one’s early market outcomes (e.g., adolescent status, partnerships, and relocation) impact later environments, thereby changing the affordance landscapes and creating path dependence with age.
By integrating a market-based perspective, we can measure relevant market parameters alongside life-stage goals to predict when identical environments will present different affordances to different individuals. Framing Ko & Neuberg’s affordances within biological markets yields concrete, testable predictions by specifying: (i) the life-stage goals, (ii) affordances, and (iii) market parameters (e.g., density, switching costs, and actor value). The resulting interaction predicts who perceives which affordances, when, and why those perceptions convert into particular strategies (e.g., dispersion vs. partner retention; generosity vs. threat displays). Thus, this perspective bridges micro–macro dynamics: ecological inputs impact market parameters, influencing strategy selection, leading to norm shifts that reshape future affordances.
Financial support
P. Barclay receives funding from the Social Sciences and Humanities Research Council of Canada (SSHRC grant #430287).
Competing interests
The authors declare none.