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Global WEIRDing: transitions in wild plant knowledge and treatment preferences in Congo hunter–gatherers

Published online by Cambridge University Press:  01 June 2020

Gul Deniz Salali*
Affiliation:
Department of Anthropology, University College London, LondonWC1H 0BW, UK
Mark Dyble
Affiliation:
Department of Anthropology, University College London, LondonWC1H 0BW, UK
Nikhil Chaudhary
Affiliation:
Department of Anthropology, University College London, LondonWC1H 0BW, UK Leverhulme Centre for Human Evolutionary Studies, Department of Archaeology, University of Cambridge, Cambridge, CB2 1QH, UK
Gaurav Sikka
Affiliation:
Department of Anthropology, University College London, LondonWC1H 0BW, UK
Inez Derkx
Affiliation:
Department of Anthropology, University College London, LondonWC1H 0BW, UK Department of Anthropology, University of Zurich, 8057Zürich, Switzerland
Sarai M. Keestra
Affiliation:
Department of Anthropology, University College London, LondonWC1H 0BW, UK Department of Anthropology, Durham University, DurhamDH1 3LE, UK
Daniel Smith
Affiliation:
Department of Anthropology, University College London, LondonWC1H 0BW, UK Bristol Medical School: Population Health Sciences, University of Bristol, BristolBS8 2BN, UK
James Thompson
Affiliation:
Department of Anthropology, University College London, LondonWC1H 0BW, UK
Lucio Vinicius
Affiliation:
Department of Anthropology, University College London, LondonWC1H 0BW, UK Department of Anthropology, University of Zurich, 8057Zürich, Switzerland
Andrea Bamberg Migliano
Affiliation:
Department of Anthropology, University College London, LondonWC1H 0BW, UK Department of Anthropology, University of Zurich, 8057Zürich, Switzerland
*
*Corresponding author. E-mail: [email protected]

Abstract

Cultures around the world are converging as populations become more connected. On the one hand this increased connectedness can promote the recombination of existing cultural practices to generate new ones, but on the other it may lead to the replacement of traditional practices and global WEIRDing. Here we examine the process and causes of changes in cultural traits concerning wild plant knowledge in Mbendjele BaYaka hunter–gatherers from Congo. Our results show that the BaYaka who were born in town reported knowing and using fewer plants than the BaYaka who were born in forest camps. Plant uses lost in the town-born BaYaka related to medicine. Unlike the forest-born participants, the town-born BaYaka preferred Western medicine over traditional practices, suggesting that the observed decline of plant knowledge and use is the result of replacement of cultural practices with the new products of cumulative culture.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2020

Media summary: Is the world getting WEIRDer? Town-born hunter–gatherers in Congo use fewer wild plants and prefer Western over traditional medicine.

Introduction

Hunting and gathering was the primary mode of subsistence for most of human history. Studies of extant hunter–gatherers, therefore, may help us understand the context in which characteristic human traits have evolved. Nevertheless, human behaviour research has been dominated by studies in WEIRD (Western, Educated, Industrialized, Rich and Democratic) societies (Henrich, Heine, & Norenzayan, Reference Henrich, Heine and Norenzayan2010). While there is a growing agreement on the necessity of studies on non-WEIRD populations, cultural practices in many areas, even in the remotest regions, are converging owing to globalization (Rozin, Reference Rozin2010). This process of cultural convergence has been appropriately coined as Global WEIRDing (Cooperrider, Reference Cooperrider2019). Research on current day hunter–gatherers is exciting not only because these populations represent a hunting–gathering way of life, but also because they can provide insights into how humans adapt to rapid changes in their environment and the processes of global WEIRDing.

Mbendjele BaYaka hunter–gatherers are one of the few remaining hunter–gatherer groups and they exhibit variation in their level of market integration. Some BaYaka live semi-permanently or permanently in large settlements near farmer villages or market towns. The BaYaka living in towns engage in wage-labour more frequently and have greater financial capital (as indicated in the amount of bride-price paid) than those living further away from logging towns (Salali & Migliano, Reference Salali and Migliano2015). They are also more future-oriented (Salali & Migliano, Reference Salali and Migliano2015), and spend less time hunting using traditional techniques (such as with spears) or honey collecting (Riddell, Reference Riddell2013). Moreover, the actual forest space around the logging villages is reduced owing to rapid deforestation in these areas (Laporte, Stabach, Grosch, Lin, & Goetz, Reference Laporte, Stabach, Grosch, Lin and Goetz2007). The variation in the mode of living of different BaYaka groups provides a unique natural experiment where behavioural adaptations to the hunting and gathering niche, and to the rapidly changing environments, can be studied.

The BaYaka rely on plants for food, medicines, foraging and cultural practices (Salali et al., Reference Salali, Chaudhary, Thompson, Grace, Burgt, Dyble and Migliano2016). They are famous for their knowledge of medicinal plants and healing abilities among their neighbouring groups (Bahuchet, Reference Bahuchet and Hewlett2014). Knowledge of wild plants is important because in addition to substantially contributing to diet (Crittenden & Schnorr, Reference Crittenden and Schnorr2017), plants may provide health benefits to knowledge holders in the absence of Western medicine. For example, mothers with a greater body of knowledge about plants are found to have healthier children in Tsimane’ forager–horticulturalists, independent of potentially confounding variables related to education, market integration and acculturation (McDade et al., Reference McDade, Reyes-García, Blackinton, Tanner, Huanca and Leonard2007). In a previous study, we have shown that BaYaka mothers who use more medicinal plants to treat respiratory system disorders have children with higher body mass index (Salali et al., Reference Salali, Chaudhary, Thompson, Grace, Burgt, Dyble and Migliano2016). The BaYaka also give a special value to wild plant knowledge. While material goods such as food, tools and clothes are shared freely, certain knowledge of the medicinal uses of plants is exchanged for goods and money (Lewis, Reference Lewis2015). Given the importance of wild plants in forest hunter–gatherers, it is crucial to understand what happens to the accumulated plant repertoire when populations undergo rapid transitions owing to globalization.

Studies on the effects of globalization on local ecological knowledge have documented the loss of cultural traits within a generation (Godoy & Reyes-García, Reference Godoy and Reyes-García2009; Gomez-Baggethun, Mingorria, Reyes-García, Calvet, & Montes, Reference Gomez-Baggethun, Mingorria, Reyes-García, Calvet and Montes2010; Reyes-García, Guèze, et al., Reference Reyes-García, Guèze, Luz, Paneque-Gálvez, Macía, Orta-Martínez and Rubio-Campillo2013; Reyes-García, Luz, et al., Reference Reyes-García, Luz, Gueze, Paneque-Gálvez, Macía, Orta-martínez and Team2013). In this paper, we aim to examine if a similar decline in ecological knowledge occurs in the BaYaka, and if so, what factors drive the cultural change. Specifically, we ask whether changes in cultural traits happen owing to the changes in individual preferences towards new cultural practices via the process of global WEIRDing. We do this by comparing the knowledge and use of wild plants, and preferences in treatment methods among town-born and forest-born BaYaka groups.

Methods

Study population

Mbendjele hunter–gatherers are a subgroup of the BaYaka (in literature sometimes referred as African Pygmies) who speak the Mbendjele language (Lewis, Reference Lewis and Hewlett2014). They reside across the forests of the Republic of Congo. BaYaka subsist by hunting, trapping, fishing and gathering forest products such as wild yams, caterpillars and honey. They also engage in trade with neighbouring groups and wage labour (for farmers and logging companies). The frequency of trade and wage labour varies depending on the availability of trading opportunities such as the presence of Bantu traders or proximity to market towns (Salali & Migliano, Reference Salali and Migliano2015). The BaYaka traditionally live in multi-family camps of 10–60 individuals (Dyble et al., Reference Dyble, Salali, Chaudhary, Page, Smith, Thompson and Migliano2015). Nevertheless, semi-sedentary BaYaka camps in market towns can reach over 200 individuals. The BaYaka are predominantly exogamous (either father or mother coming from a different clan) and serially monogamous, although there are a few cases of polygyny (Chaudhary et al., Reference Chaudhary, Salali, Thompson, Dyble, Page, Smith and Migliano2015). BaYaka move between different campsites depending on the availability of food resources and trading opportunities with villagers. Visits by friends and families from other camps are also common.

Measuring plant knowledge and use

Between April and August 2014, the first author and her BaYaka translator (who translated from French to Mbendjele) asked 15 adult informants (10 men, five women) to list the names of plants they used for medicinal purposes. She then chose a subset of 33 plants that are used by the population and asked another 219 individuals (101 men, 118 women) across four campsites whether they knew each of the 33 species, and if so, whether they used it for any purpose. (‘Do you know plant “x”?’ If the participant replies yes, ‘Do you use it?’ If the participant says yes, ‘What do you use it for?’. See Supplementary Information for further details.) We calculated the total number of plants that were reported to be known (plant knowledge score) and used (plant use score). For example, if a participant reported knowing 15 out of 33 plants, her knowledge score was 15. If among those 15 plants, she reported using 10, then her plant use score was 10. The use of a cumulative score such as this one is most appropriate where plant knowledge falls onto a single continuum of expertise where individuals with a lower plant knowledge score know a subset of plants known by more knowledgeable individuals, rather than a smaller but more specialist set of plants unknown to those with higher overall scores, for example. In order to check this assumption, we plotted the probability of knowledge of each individual plant against a single latent axis of ‘knowledge’ derived from a simple item response theory model without fixed effects (Bunce & McElreath, Reference Bunce and McElreath2017). These plots show clear positive relationships between knowledge of each plant and a single latent axis (Figure S1), suggesting that plant knowledge does indeed fall along a single continuum.

The 2014 fieldwork took place in the Likouala and Sangha regions of Congo's Ndoki forest, where G.D.S, N.C. and J.T. stayed in four camps, three of which were located in the forest and one of which was located in a logging town. The researchers stayed in each camp between 10 days and a month and at the end of their stay gave each household a gift (either a pot, a machete or a head torch) for their hospitality and participation in research. The forest camps were located by the mud roads cutting through the dense forest opened by a logging company in the late 1990s. As well as hunting and gathering, individuals in these camps trade forest products with farmers for cultivated food, alcohol and cigarettes. They frequently move to deeper parts of the forest depending on the availability of food resources (e.g. for fishing in the dry season between December and March) or the presence of a land-related conflict with non-BaYaka groups.

The town camp was located in Pokola, a logging town in Northern Congo where economic opportunities attract workers and traders from both the local area and internationally, from countries such as Cameroon and Chad. The presence of a hospital offering free health care run by the logging company located in Pokola also attracts people into the town. The BaYaka camp in Pokola consists of individuals who are born and raised in the town, and families who temporarily move to the town and reside there to visit families or for ceremonies, engage in wage labour, buy products such as clothes or machetes in the market or use the hospital. The BaYaka camp in town is a few kilometres away from the town centre, closer to the surrounding forests. Although the BaYaka living in the town engage in wage labour more frequently than the BaYaka coming from forest regions (Salali & Migliano, Reference Salali and Migliano2015), they still go on daily foraging trips and stay in the forest temporarily in fishing and caterpillar seasons.

We had information on the birth places of 88% of the participants (n = 193). The majority of the participants in forest camps were from the same birth region: 91% of the participants from the forest camps 1 and 2 were born in Minganga region and referred to themselves as ‘Mbendjele of Minganga’; 97% of the participants from forest camp 3 were born in Ibamba region and known as the ‘Mbendjele of Ibamba’. The participants residing in the town camp were born in different regions (Supplementary Figure S2). Some of the participants in the town were born and raised there, whereas some families had migrated to town either temporally or permanently from other regions, including Minganga and Ibamba (Supplementary Figure S2).

Treatment method and preference

We returned to the same region in July–August 2018 to further examine treatment methods and preferences in BaYaka born and raised in the logging town or in forest regions. We returned to the town camp in Pokola and forest camp 1 (Longa) and visited a new camp located an hour's drive from forest camp 1 (see Table 1 for the camp names, data collection period and participant age and gender). Because the camp composition is fluid with individuals moving between different campsites, there were familiar faces as well as new ones in the camps. For this reason, we refer to the two forest camps we visited in 2018 as forest camp a and forest camp b (Table 1). In the town, we targeted the BaYaka who were born and raised there and excluded individuals who reported temporarily moving from other regions to town. All of the town-born BaYaka interviewed were below 45 years of age, whereas participants in forest camps included individuals above 45 years.

Table 1. Camp location and names, data collection period and sample size

We asked participants (aged >16 years) what they did for treatment when they are sick (treatment method). We followed this up by asking whether they preferred using traditional medicine or going to hospital (treatment preference). We used two separate questions because participants did not have equal access to Western medicine. The hospital in town is within walking distance for participants in the town, whereas those who reside in forest camps need to get and pay for transportation to reach the hospital. As such, we aimed to capture whether participants’ treatment method and preference differed owing to the limitations on their access to Western medicine. For the treatment method question, the participants’ replies included the following: ‘I go to hospital’, ‘I use traditional medicine’, ‘I do not do anything’, ‘I use pills’. For the treatment preference question, the replies were as follows: ‘I prefer going to hospital’, ‘I prefer traditional medicine’, ‘I prefer going to hospital first and if it does not work I use traditional medicine’, ‘I prefer using traditional medicine first and if it does not work I go to hospital’.

Statistical analyses

To examine the effects of birth place on plant knowledge and use score we conducted ANOVAs controlling for the participants’ sex and age group. The response variable was either the plant knowledge or the use score, and the factorial predictors were: birth place (Minganga, n = 82; Ibamba, n = 54; Other, n = 28; Pokola (town), n = 29), sex (female, n = 104; male, n = 89) and age group (child, 5–15 years, n = 19; young adult, 15–25 years, n = 44; adult, 25–45 years, n = 72; old adult, 45+ years, n = 58). We used Tukey's honestly significant difference (HSD) tests to compare the means of knowledge and use scores among different levels of each factorial variable. Because the response variables were not normally distributed, we used the transformTukey function in R to transform the values based on Tukey's ladder of powers transformation (Mangiafico, Reference Mangiafico2019). We presented the results of the most parsimonious models obtained by model selection using the anova function in R.

We further investigated (a) if the BaYaka who were born in forest and later moved to town differed in their plant knowledge and use scores compared with the BaYaka who were born and residing in the forest and (b) if the BaYaka who were born in forest and later moved to town differed in their plant knowledge and use scores compared with the BaYaka who were born and residing in town. For the former analysis we excluded children and for the latter we excluded children and old adults owing to the small sample sizes (see Table 2 for sample sizes by age group, birth region and current camp residence). We conducted ANOVAs controlling for participants’ sex and age group, and used transformed plant knowledge and use scores for normality.

Table 2. Median plant use and knowledge scores (out of 33 plants) and sample size by birth place (forest vs. town) and current camp residence (forest vs. town)

We also examined how birth region, current camp residence, age and sex affected how a plant is used by using multiple correspondence analysis (MCA). MCA is a nonlinear multivariate analysis method that is mainly used to visualize data with categorical variables (Hoffman & Leeuw, Reference Hoffman and Leeuw1992). Its principles are the same as in principal component analysis, except that the data consists of factorial variables. We performed MCA to visualize the clustering of individuals based on their uses of 33 plants using the R package FactoMineR (Le, Josse, & Husson, Reference Le, Josse and Husson2008).

To test whether reported treatment methods (hospital, traditional medicine, nothing, pills) and preference (hospital vs. traditional medicine) differed among the three BaYaka campsites we used pairwise proportion tests. We also conducted additional analyses with the subset of the forest sample with known ages to examine if age affected treatment method and preference. The data analyses were conducted using R statistical software. All data files and associated R codes are available at https://osf.io/udwzr/.

Results

Town-born BaYaka reported knowing and using fewer plants

Controlling for age and sex, people who were born in the logging town reported knowing fewer plants compared with people who were born in all other regions (Figure 1a; Table 3 Model 1–2; Tukey's HSD, P < 0.001). The median number of plants reported to be known was 20 (out of 33) for the town-born BaYaka, while the medians for participants from Minganga, Ibamba and other regions were 30, 30 and 31 respectively.

Figure 1. Mean plant knowledge and use scores by (a) birth region (Pokola is the logging town, and the other places are regions that include camps in the forest), (b) age group (child, 5–15 years; young adult, 15–25 years; adult, 25–45 years; old adult, 45+ years), (c) sex (F, female; M, male). Dots indicate plant knowledge score and triangles plant use score. Error bars show 95% confidence intervals.

Table 3. ANOVA results of the effects of birth region, sex and age group on the number of plants that are known (Models 1–1, 1–2) and used (Models 2–1 to 2–3) by participants. Our analysis of model selection indicated that the models 1–2 and 2–3 were the most parsimonious ones

The BaYaka who were born in the town not only knew but also used fewer plants (Figure 1a; Table 3, Model 2–3; Tukey's HSD, P < 0.001). While the median number of plants reported to be used was 15 for the town-born BaYaka, the medians for people from Minganga, Ibamba and other regions were 21.5, 23.5 and 25 plants, respectively. Participants who were born in the two forest regions and the other unvisited regions did not differ in their plant use score (Tukey's HSD, P = 0.23 for Minganga-Ibamba, P = 0.99 for Ibamba-other, P = 0.37 for Minganga-other).

Our control variables showed that the BaYaka knew and used more plants as they got older (Figure 1b, Table 3). We also examined birth region × age interaction to test whether the BaYaka in each age group differed in their plant knowledge and use depending on where they were born. Overall, birth region × age interaction was not a significant factor in explaining the variation in knowledge and use scores (Table 3). Although male participants reported knowing a slightly but significantly higher number of plants than female participants (Figure 1c, Table 3, Model 1–2), the number of plants they reported using did not differ (Figure 1c, Table 3, Model 2–2). We confirmed these findings with additional regression analyses (Supplementary Tables S3 and S4).

Forest-born BaYaka who moved to town later have not lost their plant knowledge

Our further analysis comparing the BaYaka who were born in the forest and later moved to town with those who were born and currently residing in forest regions showed that they did not differ in plant knowledge and use scores (Table 2, Supplementary Table S1). Contrarily, the BaYaka who were born in town and residing there had lower knowledge and use scores compared with those who were born in forest, and moved to town later (Table 2, Supplementary Table S2).

Town-born BaYaka reported using plants for medicine less frequently

We examined how plant use differed between BaYaka born in different regions. First, we conducted MCA on plant uses to explore the data on a two-dimensional plane. This analysis showed that individuals clustered on different coordinates depending on their birth region, indicating that the BaYaka who were born in the same region had more similar plant uses (Supplementary Figure S3).

Participants who were born in town reported using plants for medicine less frequently (Figure 2). While almost 20% of the reported plant uses by participants from Ibamba region concerned treating digestive system disorders, only around 12% of the reported uses by town-born participants concerned treating those (Figure 2). Likewise, participants from forest regions reported using plants for treating respiratory disorders, infections and injuries more often than town-born participants (Figure 2).

Figure 2. Reported plant use percentages for the treatment of most common diseases by birth place.

We further investigated the plants that are frequently used by the forest-born BaYaka but reported as being used seldom by the town-born BaYaka. We first identified the plants that were used by less than half of the participants who were born in the town. Among those, we chose the ones that were frequently used (more than 50% of the participants reported using the plant) by the forest-dwelling BaYaka. In this way, we identified eight plants that were not reported as being used by the town-born participants but used by others. Table 4 shows the percentages of participants who reported using each of the eight plants as medicine with respect to their birthplace.

Table 4. The list of medicinal plants that are frequently used by the BaYaka who are born in forest regions, but not by the BaYaka who are born in the town

Town-born BaYaka reported using and preferring Western over traditional medicine

Almost 80% of the participants who were born in town reported going to hospital when sick, vs. only 11% of participants in forest camp a, and 7% in forest camp b (Figure 3a, 3-sample proportion test: n = 126, χ 22= 60.04, P < 0.001). More than 78% of the participants in forest camps reported using traditional medicine (i.e. wild plants) when sick, vs. only 22% of the town-born BaYaka (n = 126, χ 22 = 45.33, P < 0.001, Figure 3a).

Figure 3. Reported percentages of (a) treatment method and (b) treatment preference by current camp residence. Hospital means participants reported going to hospital, or preferring hospital over traditional medicine; tm refers to traditional medicine. Pills are drugs bought from farmers or provided by health-aid projects. Hospital first corresponds to those responses where participants reported preferring hospital first, and if the treatment is not successful, using traditional medicine; tm first indicates preference for traditional medicine and hospital as a second choice if traditional practices do not work.

When we asked participants whether they preferred going to hospital or using traditional medicine in times of sickness, 76% of those who were born in town reported preferring hospital, whereas only 31% of the participants in forest camp a and 14% in forest camp b preferred hospital over traditional medicine (Figure 3b, proportion test: n = 126, χ 22 = 32.73, P < 0.001). Some 18% of the participants in forest camps a and b and 6% of those in the town reported going to hospital as a second choice where traditional methods do not work (Figure 3b, proportion test: n = 126, χ 22 = 3.38, P = 0.18). On the other hand, 7% in the forest camp a, 3% in forest camp b and 13% in the town camp reported using traditional medicine as a second choice where Western medicine does not work (Figure 3b, proportion test: n = 126, χ 22 = 2.15, P = 0.34).

Our further analysis with the subset of the data indicated that age did not affect the use of and preference for traditional medicine in forest-born BaYaka (Supplementary Table S5–6).

Discussion

Our results show that the BaYaka who were born in the town reported knowing and using fewer plants than the BaYaka who were born in forest regions. Plant uses that were lost in the town-born BaYaka concerned uses for medicine. Unlike the forest-born participants, the town-born BaYaka preferred Western medicine over traditional practices, suggesting that the observed decline of plant knowledge and use is the result of replacement of cultural practices with the new products of cumulative culture.

We showed that the BaYaka who were born in forest regions and moved to town had higher plant knowledge and use scores than those who were born in town. Our previous studies showed that medicinal plant knowledge is mainly shared within families in the BaYaka, but marital ties and strong friendships help connect distant families and promote knowledge exchange (Migliano et al., Reference Migliano, Page, Gomez-Gardenes, Salali, Viguier, Dyble and V.2017; Salali et al., Reference Salali, Chaudhary, Thompson, Grace, Burgt, Dyble and Migliano2016). The observed difference in the plant uses of town-born and forest-born BaYaka living in the town may indicate little knowledge exchange among these individuals, perhaps owing to changes in social structure where connections among different households are weakened by the growing population size.

The observed decline in wild plant knowledge may also be due to reduced social learning opportunities. Almost all hunter–gatherer groups in the Congo Basin work as wage labourers in farmers’ fields in exchange for alcohol, agricultural food, cigarettes and other industrial products (Bahuchet & Guillaume, Reference Bahuchet, Guillaume, Leacock and Lee1982; Oishi, Reference Oishi2012; Turnbull, Reference Turnbull1961). Nevertheless, the frequency of such exchanges varies within and among those groups. In a previous study, we found that adults in the town camp engage in wage labour more frequently than the adults that reside in other camps (Salali & Migliano, Reference Salali and Migliano2015). Moreover, forests around the logging town Pokola are degraded by agricultural and logging activities that make the immediate environment less suitable for hunting and gathering (Laporte et al., Reference Laporte, Stabach, Grosch, Lin and Goetz2007). These changes in subsistence activities and ecological conditions may result in BaYaka, growing up in towns and having fewer opportunities to observe and accompany adults during forest-related activities. This is especially important given that BaYaka children acquire forest skills through observation, imitation and practice (Lew-levy et al., Reference Lew-levy, Crittenden, Boyette, Mabulla, Hewlett, Lamb and Lamb2019; Lew-Levy, Reckin, Lavi, Cristóbal-Azkarate, & Ellis-Davies, Reference Lew-Levy, Reckin, Lavi, Cristóbal-Azkarate and Ellis-Davies2017; Salali et al., Reference Salali, Chaudhary, Bouer, Thompson, Vinicius and Migliano2019). Nevertheless, during fieldwork we observed the BaYaka residing in the town going on long foraging trips, especially during fishing and caterpillar seasons, and when specific wild nuts are abundant. To conclude on whether town-born BaYaka have fewer social learning opportunities, data comparing the time spent in foraging in different BaYaka groups is needed.

Alternatively, the town-born BaYaka may be less motivated to learn about wild plants compared with the BaYaka who grew up in the forest. When we asked a young BaYaka man in town about living in the forest as opposed to living by logging roads or towns, we received the following answer: ‘It (solely living in the forest) was something of the past, something that our ancestors were doing’. The BaYaka are often humiliated and compared with animals by the neighbouring farmer populations because of their forest-oriented way of life (Lewis, Reference Lewis, Widlok and Tadesse2005, Reference Lewis and Hewlett2014). We suspect that often, when the BaYaka make such claims about living in the forest, it is driven by the shame or negative feedback that they receive from farmers. This effect is much stronger for the young BaYaka living in towns as they interact with farmers on a daily basis. Nevertheless, they may not consider knowing about wild plants as being as valuable as learning French, which may allow them to better integrate in the society in ways that help them can get jobs and earn money.

Indeed, our findings suggested that town-born BaYaka who we interviewed in 2018 (all younger than 45 years) preferred going to hospital over using wild plants. In contrast, forest-born BaYaka, regardless of age, preferred traditional medicine over hospital. One factor explaining these preferences may be that the town-born BaYaka are more familiar with Western medicine as they frequently observe farmers using the hospital and selling medicines in the open-air market. Farmers choosing to visit hospitals, instead of consulting the BaYaka for traditional medicine, may weaken some of the prestige associated with using wild plants. We should, nevertheless, note that these are reported preferences and we do not have quantitative data on what percentage of the BaYaka and from which regions use the hospital in town.

One factor that may explain the choice between going to hospital and using traditional medicine is the severity of the illness. For example, some town-born participants said they prefer going to hospital first, but if the treatment is not successful then they use traditional medicine. On the other hand, some forest-born BaYaka indicated that they use traditional medicine primarily, but if the illness is serious they go to hospital. Another factor is the cultural perceptions around specific illnesses. For example, although the town-born BaYaka reported preferring going to hospital over traditional medicine, our field observations suggested that BaYaka might still rely on traditional medicine for the treatment of certain conditions. Both in 2014 and 2018 fieldwork, we observed cases of a specific illness, which the BaYaka referred to as ‘kole’. The BaYaka believe that kole is caught when a person incautiously steps on an invisible creature that can take the form of different animals and falls from the sky when there is a rainbow. The symptoms are severe as the individuals with the condition lose weight rapidly, have a swollen limb and cannot walk. Our suggestion of taking the sick person to the hospital was refused, as the BaYaka believe that people die in the hospital when they have caught kole. Instead, the BaYaka use a plant mixture, which they smear on the sick person and believe that the only treatment for kole is to use traditional medicine. If in the past, for severe illnesses like kole, people took the sick patient to the hospital as a last resort and the patient died at the hospital, this event might have caused the establishment of the disbelief in hospital treatment.

BaYaka wild plant knowledge is the product of cultural accumulation over hundreds of generations. It may well be the case that some uses of plants have health benefits, and according to a recent report by the World Health Organization (2019), an estimated 80–99% of the population in Congo use indigenous traditional medicine. Our previous findings showed that 77% of the 33 plants used in our interviews had known bioactive properties, some being used by other great apes as medicines, and mothers who used more of the frequently used plants for treating respiratory system disorders had children with higher body mass index (Salali et al., Reference Salali, Chaudhary, Thompson, Grace, Burgt, Dyble and Migliano2016). Therefore, maintenance of wild plant knowledge repertoire is especially important for the BaYaka who do not have easy access to Western medicine. Nevertheless, mortality owing to easily treatable conditions such as diarrhoea and bacterial and respiratory infections are high, especially in infants, and we have come across many individuals suffering from neglected tropical diseases such as yaws and leprosy. For this reason, it is important that these communities have access to Western medicine.

One limitation of our study is that it is not longitudinal, i.e. it does not compare the knowledge of one generation of adults with the next. Our findings, however, indicate that change in the knowledge and use of wild plants has happened within a couple of generations. Pokola used to be a small fishing village surrounded by dense rainforests until the late 1960s, when a logging company was established. The village has since developed into a large market town. This and the fact that we had only one participant older than 45 years who reported being born in town suggest the BaYaka town settlement is relatively new, with no more than two generations having lived there. Therefore, it is likely that loss of knowledge about wild plants has happened within no more than two generations. Nevertheless, our finding that the forest-born BaYaka who were residing in town at the time of study did not differ in their plant knowledge and use from those who were born and residing in forest suggests that cultural loss does not happen within a generation. It is important to note that we did not have information on how long ago those participants who were born in forest moved to town. Therefore, it may be that some forest-born BaYaka were in town temporarily and hence did not differ in their plant use from those who were residing in the forest.

In his reply to Henrich and Norenzeyan's seminal article (Reference Henrich, Heine and Norenzayan2010), Rozin (Reference Rozin2010) argues that WEIRD populations may not be as informative when it comes to our understanding of human nature now or in the past, but they are crucial in our understanding of what humans are going to be like in the future. In this paper, we show that the process of global WEIRDing is happening even in the remotest parts of the world. One product of cumulative culture, repertoire of wild plant uses, is being replaced by another product of cumulative culture, namely Western medicine. Similar processes are happening in other indigenous populations. The young Inuit hunters rely more and more on GPS devices rather than orienting themselves by observing wind, snow, animals and sky (Aporta & Higgs, Reference Aporta and Higgs2005). The Tsimane’ forager–horticulturalists who are living close to towns report fewer plant uses as they perceive the obtaining of other skills to be more valuable for the new socio-economic conditions (Reyes-García, Guèze et al., Reference Reyes-García, Guèze, Luz, Paneque-Gálvez, Macía, Orta-Martínez and Rubio-Campillo2013).

Change in cultural traits in these populations can be seen as adaptive responses to changes in socio-economic and ecological conditions, rather than despairing cultural losses. Although the BaYaka who are born in town may be losing the diversity of their traditional plant knowledge, it may be equally important for their resilience to have the necessary skills to navigate their way in market economies and become an autonomous group who can successfully defend their rights. For the BaYaka who choose to reside in towns permanently, focusing on learning new skills, such as French or mathematics, may be more beneficial in navigating their way through market economies. Flexible cultural responses towards economic, social and political changes for many hunter–gatherer groups may be the one which allows them to be completely autonomous and free in their access to resources, either in the forest or in market towns.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/ehs.2020.26.

Acknowledgments

Many thanks to all of the Mbendjele BaYaka participants for their hospitality and sharing their knowledge of the forest; our Mbendjele translators Nicolas, Gifhanou, Roger and Paul for their help in data collection; and Jerome Lewis, Clobite Bouka Biona and Laure Stella Ghoma Linguissi for their help with fieldwork logistics and research permits.

Author contributions

G.D.S. designed the study and collected the plant knowledge data. G.D.S., N.C., G.S, I.D, S.M.K and J.T collected data on demography and treatment preferences. G.D.S and M.D. conducted the statistical analyses. G.D.S. wrote the manuscript with the help of all other authors.

Data availability

All data files and associated R codes are available at https://osf.io/udwzr/.

Publishing ethics

The research and fieldworks were approved by the Ethics Committee of University College London (UCL Ethics codes 3086/003 and 13121/001), and the methods were carried out in accordance with the approved guidelines. Informed consent was obtained from all participants and research permission granted by the Republic of Congo's Ministry of Scientific Research.

Financial support

This project was funded by the British Academy Post-doctoral Research Fellowship and research grant SRG\171409 to G.D.S. and Leverhulme Trust grant RP2011-R-045 to A.B.M. G.D.S. also received funding from Funds for Women Graduates, Foundation Main Grant 156240.

Conflicts of interest

The authors declare no competing interests.

References

Aporta, C., & Higgs, E. (2005). Satellite culture: Global positioning systems, Inuit wayfinding, and the need for a new account of technology. Current Anthropology, 46(5), 729753. https://doi.org/10.1086/432651CrossRefGoogle Scholar
Bahuchet, S. (2014). Cultural diversity of African Pygmies. In Hewlett, B. S. (Ed.), Hunter–Gatherers of the Congo Basin (pp. 129). Transaction.Google Scholar
Bahuchet, S., & Guillaume, H. (1982). Aka-farmer relations in the northwest Congo Basin. In Leacock, E. & Lee, R. B. (Eds.), Politics and history in band societies (pp. 189211). Cambridge University Press.Google Scholar
Bunce, J. A., & McElreath, R. (2017). Interethnic interaction, strategic bargaining power, and the dynamics of cultural norms: A field study in an Amazonian population. Human Nature, 28(4), 434456. https://doi.org/10.1007/s12110-017-9297-8CrossRefGoogle Scholar
Chaudhary, N., Salali, G. D., Thompson, J., Dyble, M., Page, A., Smith, D., … Migliano, A. B. (2015). Polygyny without wealth: Popularity in gift games predicts polygyny in BaYaka Pygmies. Royal Society Open Science, 2(5), 150054.CrossRefGoogle ScholarPubMed
Cooperrider, K. (2019). What happens to cognitive diversity when everyone is more WEIRD? Aeon. https://aeon.co/ideas/what-happens-to-cognitive-diversity-when-everyone-is-more-weirdGoogle Scholar
Crittenden, A. N., & Schnorr, S. L. (2017). Current views on hunter–gatherer nutrition and the evolution of the human diet. American Journal of Physical Anthropology, 162, 84109. https://doi.org/10.1002/ajpa.23148CrossRefGoogle ScholarPubMed
Dyble, M., Salali, G. D., Chaudhary, N., Page, A., Smith, D., Thompson, J., … Migliano, A. B. (2015). Sex equality can explain the unique social structure of hunter–gatherer bands. Science, 348(6236), 796798. https://doi.org/10.1126/science.aaa5139CrossRefGoogle ScholarPubMed
Godoy, R., & Reyes-García, V. (2009). Long-term (secular) change of ethnobotanical knowledge of useful plants: Separating cohort and age effects. Journal of Anthropological Research, 65, 5167.CrossRefGoogle Scholar
Gomez-Baggethun, E., Mingorria, S., Reyes-García, V., Calvet, L., & Montes, C. (2010). Traditional ecological knowledge trends in the transition to a market economy: Empirical study in the Donana Natural Areas. Conservation Biology, 24(3), 721729. https://doi.org/10.1111/j.1523-1739.2009.01401.xCrossRefGoogle ScholarPubMed
Henrich, J., Heine, S. J., & Norenzayan, A. (2010). The weirdest people in the world? Behavioral and Brain Sciences, 33, 61135. https://doi.org/10.1017/S0140525X0999152XCrossRefGoogle Scholar
Hoffman, D. L., & Leeuw, J. (1992). Interpreting multiple correspondence analysis as a multidimensional scaling method. Marketing Letters, 3, 259272. https://doi.org/10.1007/BF00994134CrossRefGoogle Scholar
Laporte, N. T., Stabach, J. A., Grosch, R., Lin, T. S., & Goetz, S. J. (2007). Expansion of industrial logging in Central Africa. Science, 316(5830), 1451.CrossRefGoogle ScholarPubMed
Le, S., Josse, J., & Husson, F. (2008). FactoMineR: An R package for multivariate analysis. Journal of Statistical Software, 25(1), 118.CrossRefGoogle Scholar
Lew-levy, S., Crittenden, A. N., Boyette, A. H., Mabulla, I. A., Hewlett, B. S., Lamb, M. E., … Lamb, M. E. (2019). Inter- and intra-cultural variation in learning-through-participation among Hadza and BaYaka forager children and adolescents from Tanzania and the Republic of Congo. Journal of Psychology in Africa, 29(4), 309318. https://doi.org/10.1080/14330237.2019.1647957CrossRefGoogle Scholar
Lew-Levy, S., Reckin, R., Lavi, N., Cristóbal-Azkarate, J., & Ellis-Davies, K. (2017). How do hunter–gatherer children learn subsistence skills?: A meta-ethnographic review. Human Nature, 28(4), 367394. https://doi.org/10.1007/s12110-017-9302-2CrossRefGoogle ScholarPubMed
Lewis, J. (2005). Whose forest is it anyway? Mbendjele Yaka pygmies, the Ndoki Forest and the wider world. In Widlok, T. & Tadesse, W. (Eds.), Property and equality, Vol. 2 Encapsulation, commercialisation, discrimination (pp. 5678). Berghahn Books.Google Scholar
Lewis, J. (2014). Egalitarian social organization: the case of the Mbendjele BaYaka. In Hewlett, B. S. (Ed.), Hunter–gatherers of the Congo Basin (pp. 219243). Transaction.Google Scholar
Lewis, J. (2015). Where goods are free but knowledge costs: The economics of ritual among forest hunter–gatherers in Western Central Africa. Hunter Gatherer Research, 1(1), 127. https://doi.org/10.3828/hgr.2015.2CrossRefGoogle Scholar
Mangiafico, S. (2019). rcompanion: Functions to Support Extension Education Program Evaluation, R package version 2.3.7.Google Scholar
McDade, T. W., Reyes-García, V., Blackinton, P., Tanner, S., Huanca, T., & Leonard, W. R. (2007). Ethnobotanical knowledge is associated with indices of child health in the Bolivian Amazon. Proceedings of the National Academy of Sciences, 104(15), 61346139. https://doi.org/10.1073/pnas.0609123104CrossRefGoogle ScholarPubMed
Migliano, A. B., Page, A., Gomez-Gardenes, J., Salali, G. D., Viguier, S., Dyble, M., … V., L. (2017). Characterisation of hunter–gatherer networks and implications for cumulative culture. Nature Human Behaviour, 1, 0043.CrossRefGoogle Scholar
Oishi, T. (2012). Cash crop cultivation and interethnic relations of the Baka hunter–gatherers in Southeastern Cameroon. African Study Monographs, 43, 115136.Google Scholar
Reyes-García, V., Guèze, M., Luz, A. C., Paneque-Gálvez, J., Macía, M. J., Orta-Martínez, M., … Rubio-Campillo, X. (2013). Evidence of traditional knowledge loss among a contemporary indigenous society. Evolution and Human Behavior, 34(4), 249257. https://doi.org/doi.org/10.1016/j.evolhumbehav.2013.03.002CrossRefGoogle ScholarPubMed
Reyes-García, V., Luz, A. C., Gueze, M., Paneque-Gálvez, J., Macía, M. J., Orta-martínez, M., … Team, T. B. S. (2013). Secular trends on traditional ecological knowledge: An analysis of changes in different domains of knowledge among Tsimané men. Learning and Individual Differences, 34(93), 206212. https://doi.org/10.1016/j.lindif.2013.01.011CrossRefGoogle Scholar
Riddell, M. (2013). Assessing the impacts of conservation and commercial forestry on livelihoods in northern republic of Congo. Conservation and Society, 11(3), 199217. https://doi.org/10.4103/0972-4923.121002CrossRefGoogle Scholar
Rozin, P. (2010). The weirdest people in the world are a harbinger of the future of the world. Behavioral and Brain Sciences, 33(2–3), 108109. https://doi.org/DOI:10.1017/S0140525X10000312CrossRefGoogle Scholar
Salali, G. D., Chaudhary, N., Bouer, J., Thompson, J., Vinicius, L., & Migliano, A. B. (2019). Development of social learning and play in BaYaka hunter–gatherers of Congo. Scientific Reports, 9(1), 11080. https://doi.org/10.1038/s41598-019-47515-8CrossRefGoogle ScholarPubMed
Salali, G. D., Chaudhary, N., Thompson, J., Grace, O. M., Burgt, X. M. van der, Dyble, M., … Migliano, A. B. (2016). Knowledge-sharing networks in hunter–gatherers and the evolution of cumulative culture. Current Biology, 26(18), 16. https://doi.org/10.1016/j.cub.2016.07.015CrossRefGoogle ScholarPubMed
Salali, G. D., & Migliano, A. B. (2015). Future discounting in Congo Basin hunter–gatherers declines with socio-economic transitions. Plos One, 10(9), e0137806. https://doi.org/10.1371/journal.pone.0137806CrossRefGoogle ScholarPubMed
Turnbull, C. (1961). The Forest People. Pimlico.Google Scholar
World Health Organization. (2019). WHO global report on traditional and complementary medicine 2019.Google Scholar
Figure 0

Table 1. Camp location and names, data collection period and sample size

Figure 1

Table 2. Median plant use and knowledge scores (out of 33 plants) and sample size by birth place (forest vs. town) and current camp residence (forest vs. town)

Figure 2

Figure 1. Mean plant knowledge and use scores by (a) birth region (Pokola is the logging town, and the other places are regions that include camps in the forest), (b) age group (child, 5–15 years; young adult, 15–25 years; adult, 25–45 years; old adult, 45+ years), (c) sex (F, female; M, male). Dots indicate plant knowledge score and triangles plant use score. Error bars show 95% confidence intervals.

Figure 3

Table 3. ANOVA results of the effects of birth region, sex and age group on the number of plants that are known (Models 1–1, 1–2) and used (Models 2–1 to 2–3) by participants. Our analysis of model selection indicated that the models 1–2 and 2–3 were the most parsimonious ones

Figure 4

Figure 2. Reported plant use percentages for the treatment of most common diseases by birth place.

Figure 5

Table 4. The list of medicinal plants that are frequently used by the BaYaka who are born in forest regions, but not by the BaYaka who are born in the town

Figure 6

Figure 3. Reported percentages of (a) treatment method and (b) treatment preference by current camp residence. Hospital means participants reported going to hospital, or preferring hospital over traditional medicine; tm refers to traditional medicine. Pills are drugs bought from farmers or provided by health-aid projects. Hospital first corresponds to those responses where participants reported preferring hospital first, and if the treatment is not successful, using traditional medicine; tm first indicates preference for traditional medicine and hospital as a second choice if traditional practices do not work.

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