Old age variably impacts chimpanzee engagement and efficiency in stone tool use

  1. Elliot Howard-Spink  Is a corresponding author
  2. Tetsuro Matsuzawa
  3. Susana Carvalho
  4. Catherine Hobaiter
  5. Katarina Almeida-Warren
  6. Thibaud Gruber
  7. Dora Biro
  1. Department of Biology, University of Oxford, United Kingdom
  2. Development and Evolution of Cognition Group, Max Planck Institute of Animal Behavior, Germany
  3. School of Biological and Behavioural Sciences, Queen Mary University of London, United Kingdom
  4. Department of Pedagogy, Chubu Gakuin University, Japan
  5. College of Life Science, Northwest University, China
  6. Department of Science, Gorongosa National Park, Mozambique
  7. Interdisciplinary Center for Archaeology and Evolution of Human Behaviour (ICArEHB), Universidade do Algarve, Portugal
  8. CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Portugal
  9. Wild Minds Lab, School of Psychology and Neuroscience, University of St Andrews, United Kingdom
  10. School of Anthropology and Museum Ethnography, University of Oxford, United Kingdom
  11. Faculty of Psychology and Educational Sciences, and Swiss Center for Affective Sciences, University of Geneva, Switzerland
  12. Department of Brain and Cognitive Sciences, University of Rochester, United States
5 figures, 2 videos, 15 tables and 1 additional file

Figures

The experimental set-up and behaviors at the outdoor laboratory.

(a) Yo, an elderly female (approximately 51 years old), has placed a coula nut (Coula edulis) on an anvil stone and is preparing to strike with the hammer stone. (b) An adult female (14 years old) using a leaf tool to drink water from the water point. (c) Yo and Velu (left to right, both approximately 56–58 years old), eating oil-palm fruits from an available raceme. (d) The central stone-tool matrix with numbered stones. (e) Yo (right; approximately 49 years old) selecting tools from the stone matrix.

Attendance and behavior of old-aged chimpanzees at the outdoor laboratory.

(a) Attendance rate for individuals at the outdoor laboratory between the 1999 and 2016 field seasons. Red points and lines indicate individuals are over 30 years old; black points and lines indicate individuals younger than 30 years. Lines are drawn for all individuals who attended the outdoor laboratory in two or more field seasons (individuals who were only sampled in one field season have blank spaces in the legend). The names of males are provided in all capitals, and females are provided with capital and lower-case letters. Focal old-aged individuals are indicated in the legend in bold. (b) Attendance data for the five focal individuals as they age from 1999 to 2016. (c) The proportion of total time individuals spent engaging in four different categories of behavior at the outdoor laboratory between 1999 and 2011 (data collected at the first outdoor laboratory location only).

Duration of stone-tool selection events.

(a) Tool-selection duration times for each old-aged individual. Color correlates with the number of stone tools removed from the matrix prior to that particular tool-selection event. Shape indicates the number of tools selected by an individual in a given tool-selection event. The lines and shaded areas represent a smoothed linear relationship describing the data for each individual. (b) A mixed effect model describing the duration of stone tool-selection events across a scaled parameter of the year for each field season. Individuals are included in the model as both a random intercept and slope. The plot shows the model’s prediction of the relationship between the duration of stone-tool selection and year for each individual, compared with the baseline fixed effect of year.

Figure 4 with 1 supplement
Metrics of efficiency for the cracking and processing of oil-palm nuts.

This plot only includes metrics in which random slope models outperformed corresponding null models (see Figure 4—figure supplement 1 for all metrics). Data is summarized using boxplots (central lines in the boxes indicate median values, and upper and lower boundaries of boxes indicate the 25th and 75th percentiles; lines express the range of data, and dots indicate outliers for a given individual in a given year). Sample size available in Table 1.All data relate to the cracking and processing of individual oil-palm nuts. These metrics include, for each nut cracked, (a) the total time taken, (b) the number of discrete actions, and (c) the number of hammer strikes.

Figure 4—figure supplement 1
Summary data on all efficiency metrics for all focal aging chimpanzees.
Appendix 3—figure 1
Metrics for the cracking and processing of both oil-palm and coula nuts.

Data is confined to individuals who cracked nuts from both species. Data for coula nuts is in red, and data for oil-palm nuts is in black. Data describes the cracking and processing of individual nuts, including (a) the total time taken; (b) the total number of actions used; (c) the number of unique types of actions used; (d) the number of hammer strikes; (e) the number of times the nut had to be placed and replaced on the anvil; (f) the number of reorientations of stone tools, and (g) the number of times stone tools were switched over, or switched out for new tools.

Videos

Video 1
Oil-palm nut cracking by Yo in 1999 and 2016.
Video 2
Coula nut cracking by Jire, Foaf and Yo in 2011.

Tables

Table 1
Summary of sampled observations for each focal old-age individual.

Total time observed includes all time individuals were present in the first 10 encounters of each field season (Observed Encounters). Dashed lines (-) represent where no data was collected for an individual in a given field season. Males have names in all capitals, whereas females have names in capitals and lower case.

IDDOB*Date of Death (Age)Age (years)Observed Encounters (% including interaction with nuts or stone tools)Total Time Observed (minutes)Action Sequences Coded (for individual nuts)
19992004200820112016199920042008201120161999200420082011201619992004200820112016
Fana19562022 (67)444953566110 (70%)10 (70%)10 (80%)7 (28.6%)10 (40%)280.6275.2184.2105.7283.5807780-70
Jire1958Alive as of 2025 (67)424751545910 (80%)10 (80%)10 (90%)10 (60%)10 (80%)339.4349.9275.0282.1308.6100911044282
TUA19572013 (56)43485255-10 (70%)10 (80%)10 (80%)5 (60%)-174.4212.1204.3116.0-103968126-
Velu19592017 (58)414650535810 (60%)10 (80%)7 (85.7%)1 (100%)7 (42.9%)189.4281.815823.1202.4859950-5
Yo19612021 (60)394448515610 (80%)10 (70%)10 (90%)3 (33%)5 (40%)200.7304.5363.7211.3282.766701412033
  1. *

    Date of birth (DOB) was estimated for these individuals at the start of longitudinal data collection at Bossou (1976). Thus, ages for individuals are estimates. Ages are approximated from January of the estimated year of birth, and the end of the final month of each field season (e.g. for the 1999-2000 field season – abbreviated to 1999 - ages are estimated using 29th February 2000 as the end of the field season).

Table 2
Summary of changes observed in each chimpanzee with progressive aging.

Summaries describe the differences between the first and last field season each individual was sampled (although models underlying each result used data from all field seasons). The term ‘Possible Mild Increase/Decrease’ is used to note where we identified a change for a particular metric, but this change was considerably smaller than for other individuals, and therefore could be due to chance. We address these instances on a case-by-case basis within the Results. Dashed lines (-) indicate where we found no strong evidence for behavioural change. Names of males are listed in all capitals; females’ names are in capitals and lower case.

IndividualSexAttendanceEngagementTool Selection TimeOil-Palm Nut CrackingSummary
Total Time# Actions# Strikes
FanaFDecreaseDecreaseIncreasePossible mild increase--Rate of attendance at the outdoor laboratory decreased, and Fana engaged with nuts and stones less often when present. Fana took longer to select tools. However, her general tool-using efficiency was mostly constant.
JireFDecreasePossible Mild DecreaseIncreaseMild increase--Rate of attendance at the outdoor laboratory decreased. Jire took longer to select stone tools. General tool-using efficiency was mostly constant, but Jire took slightly longer to crack oil-palm nuts in later years.
TUAM-Possible Mild IncreaseDecrease---Tua became slightly faster at selecting tools, and his tool-using efficiency was constant across years.
VeluFDecreaseDecrease (although sample size was small in 2011)-IncreaseIncreaseIncreaseRate of attendance at the outdoor laboratory decreased. Velu engaged with nuts and stones less often when present. Velu took longer to crack oil-palm nuts and used more striking actions.
YoFDecreasePossible Mild IncreaseIncreaseIncreaseIncreaseIncreaseRate of attendance at the outdoor laboratory decreased. When present, Yo spent a slightly greater proportion of time engaging with nuts and stones. Yo took much longer to select tools and demonstrated the largest reduction in tool-using efficiency.
Appendix 1—table 1
Ethogram of codable manipulations for observations of nut-cracking behaviors*.

Manipulations in bold are coded alongside a corresponding object. There are 6 possible corresponding objects: 1. Nut, 2. Hammer, 3. Anvil, 4. Kernel, 5. Shell, 6. Bare Hand. Codes in italics are used to denote the start and end of observable sequences. Coding commenced when individuals began interacting with stones, nuts, or nut fragments. Coding ceased when individuals began engaging in a new behavior, e.g. play, grooming, eating oil-palm fruits. On the occasions where an individual moved out of clear sight of the video recording, or behavior became obscured by an individual’s body position, sequences were terminated with a ‘Not Visible’ codon and marked as incomplete. This ethogram has been used in previous studies to collect data from the Bossou archive, see Howard-Spink et al., 2024.

ActionDescription
BitePlace object in mouth and bite with teeth. Differs from ‘Eat’ as there is no consumption. Differs from ‘Store’ as the object moves in and out of the mouth while the chimp is stationary. Differs from ‘Peel Teeth’ as bite applies general force, whereas peel with mouth is to remove shell fragments from kernel dexterously. Differs from ‘Kiss’ as the object enters inside the mouth.
BrushBrush objects off the anvil.
DropPlace object(s) on ground.
EatConsume object. Differs from bite and store as it requires successful ingestion.
FlipFlip object over.
GraspGrasp an object and move off the ground.
KickApply rapid, hard force on the object with the foot, so that the object is displaced.
KissPlace object to lips or nose, but not inside of the mouth.
PassPass object between hands.
Peel HandPeel shell off of kernel with hands.
Peel TeethPeel shell off of kernel with teeth.
PlacePlace an object on an anvil.
ProvideDirectly hand an object to another individual.
Pull FootPull an object across the ground with foot.
Pull HandPull an object across the ground with hand.
Push FootPush an object across the ground with foot.
Push HandPush an object across the ground with hand.
Rake FootPull many objects towards oneself using foot/leg.
Rake HandPull many objects towards oneself using hand/arm.
ReorientRotate object horizontally.
Roll FootRoll object along the floor with foot.
Roll HandRoll object along the floor with hand.
SpitLet object fall from mouth or lips.
StompWhilst standing, apply strong force to object with foot.
StorePlace object(s) in mouth for transportation. Separated from bite, eat, peel teeth as it is followed by transportation across the outdoor laboratory, before then being removed from the mouth intact.
Strike One HandStrike with one hand, (and associated object).
Strike Two HandStrike with two hands, (and associated object).
Support FootSupport object with foot.
Support HandSupport object with hand.
TakeReceive an object directly from another individual.
ThrowThrow object away from self, horizontally or vertically.
Touch FootTouch or grasp object without moving it using foot.
Touch HandTouch or grasp object without moving it using hand.
RelocateStand up and move to a new area; is immediately followed by another coding action.
StartStart of a sequence.
End BoutEnd of a sequence.
Not VisibleIndividual moves out of view, and coding cannot continue. Differs from ‘End Bout’, as there is no evidence the individual has stopped engaging with stones, nuts or nut fragments.
Appendix 2—table 1
Model output for attendance rates over each year.
glmer(Encounters ~Year-Scaled*Age_Cohort + (1| ID)+offset(log(Field_Season_Duration)), family = Poisson)
Random EffectVarianceSD
ID (Intercept)0.0550.235
Fixed EffectEstimateSEz valuep
(Intercept)–0.5700.107–5.35<0.001
Year-Scaled–0.1230.078–1.570.116
Old_Cohort–0.1980.141–1.400.160
Year-Scaled:Old_Cohort–0.2200.096–2.290.022
Appendix 2—table 2
The number of stone-tool selection events sampled for each individual in each field season.
IndividualYearTotal
19992004200820112016
Fana2280416
Jire4453319
TUA6973025
Velu35100321
Yo4589127
Appendix 2—table 3
Models of stone-tool selection duration across years, with AIC.

AIC values reported for models fitted by Maximum Likelihood. PAB is the encounter in which stone tool selection events occurred.

ModelFormuladfAIC
REML = F
Individual Random Slope and Intercept for Year-Scaled.Log(Time)~Year-Scaled+Stones Selected + Stones Previously Taken + (1+Year-Scaled||ID) + (1|PAB)8231
Dropped Year-ScaledLog(Time)~Stones Selected + Stones Previously Taken + (1|ID) + (1|PAB)6234
Null for All Fixed EffectsLog(Time)~1 + (1|ID)+ (1|PAB)4234
REML = T
Random Slope & InterceptLog(Time)~Year-Scaled+Stones Selected + Stones Previously Taken + (1+Year-Scaled||ID) + (1|PAB)8244
Fixed Slope & Random SlopeLog(Time)~Year-Scaled+Stones Selected + Stones Previously Taken + (1|ID) + (1|PAB)7246
Appendix 2—table 4
Summary output for mixed-effect model for tool selection duration, with individual as a random slope, and encounter and individual as random intercepts.

108 observations, 49 encounters, 5 individuals.

Log(Time)~Year-Scaled+Stones Selected + Stones Previously Taken + (1+Year-Scaled||ID) + (1|PAB), REML = F
Random EffectVarianceSD
Encounter0.020.15
ID (Intercept)0.130.35
ID (Slope – Year-Scaled)0.050.22
(Residual)0.350.59
Fixed EffectEstimateSEt value
(Intercept)1.860.228.43
Year-Scaled0.140.121.18
Two Stones Selected0.310.152.14
Stones Previously Taken–0.010.02–0.65
Appendix 2—table 5
Individual coefficients for the mixed-effect model for stone-tool selection duration, with individual as a random slope, and encounter and individual as random intercepts.
IndividualInterceptScaled Year (Slope)
Fana1.930.27
Jire1.800.17
TUA1.39–0.17
Velu1.760.07
Yo2.410.35
Appendix 2—table 6
Summary output for the random slope mixed-effect model for the total time taken to crack and process oil-palm nuts over sampled field seasons.

1538 observations, 20 encounters, 5 individuals. Values rounded to 3.d.p.

lmer(Log(Time)~Year-Scaled + (Year-Scaled | ID) + (1| Encounter), REML = F)
Random EffectVarianceSD
Encounter0.0290.169
ID (Intercept)0.0890.298
ID (Slope – Year-Scaled)0.0020.039
(Residual)0.4180.647
Fixed EffectEstimateSEt value
(Intercept)2.6570.14218.767
Year-Scaled0.0770.0302.605
Appendix 2—table 7
Summary output for the random slope mixed-effect model for the number of discrete actions used to crack and process oil-palm nuts over sampled field seasons.

1538 observations, 20 encounters, 5 individuals. Values rounded to 3.d.p.

glmer(Action Events ~Scaled Year + (Year-Scaled |ID) + (1|Encounter), family = poisson)
Random EffectVarianceSD
Encounter0.0840.289
ID (Intercept)0.0290.170
ID (Slope – Year-Scaled)0.0030.059
Fixed EffectEstimateSEz value
(Intercept)2.5630.10225.241
Year-Scaled0.0220.0290.769
Appendix 2—table 8
Summary output for the random slope mixed-effect model for the number of strikes of the hammer stone used to crack and process oil-palm nuts over sampled field seasons.

1538 observations, 20 encounters, 5 individuals. Values rounded to 3.d.p.

glmer(Strikes ~Year-Scaled + (Year-Scaled |ID) + (1|Encounter), family = poisson)
Random EffectVarianceSD
Encounter0.1570.397
ID (Intercept)0.0420.204
ID (Slope – Year-Scaled)0.0110.104
Fixed EffectEstimateSEz value
(Intercept)1.4620.13111.149
Scaled Year0.0790.0511.545
Appendix 2—table 9
Intercept and slope for individual random effects for nut metrics of total time, total number of actions, and total number of strikes.

Values rounded to 3.d.p.

MetricIndividualInterceptYear-Scaled (Slope)
Total TimeFana2.6140.064
Jire2.5080.089
TUA2.3280.036
Velu2.6350.068
Yo3.2000.128
ActionsFana2.685–0.028
Jire2.5070.049
TUA2.4160.043
Velu2.399–0.050
Yo2.8140.098
StrikesFana1.4150.008
Jire1.3210.051
TUA1.2900.195
Velu1.476–0.043
Yo1.8200.186
Appendix 2—table 10
Each unique action type employed by Yo in 1999 and 2016, described as a proportion of the first 1000 actions observed for Yo in each year.

The difference between years is calculated, and whether this difference is greater than 0.05 (5%) is determined. A direction of change between years is also indicated for each action.

Action199920162016–1999Difference >0.05?direction
brush SHELL0.016323020.009813540.00650948FALSEdecrease
drop ANVIL0.004295530.003925420.00037012FALSEdecrease
drop HAMMER0.030068730.007850830.02221789FALSEdecrease
drop KERNEL0.000859110.002944060.00208496FALSEincrease
drop NUT0.004295530.003925420.00037012FALSEdecrease
drop SHELL0.015463920.025515210.01005129FALSEincrease
eat KERNEL0.086769760.138370950.05160119TRUEincrease
flip ANVIL0.0025773200.00257732FALSEdecrease
flip HAMMER0.0008591100.00085911FALSEdecrease
flip KERNEL0.0008591100.00085911FALSEdecrease
grasp ANVIL0.004295530.003925420.00037012FALSEdecrease
grasp HAMMER0.045532650.005888130.03964452FALSEdecrease
grasp KERNEL0.070446740.058881260.01156548FALSEdecrease
grasp NUT0.113402060.056918550.05648351TRUEdecrease
kiss KERNEL0.0025773200.00257732FALSEdecrease
kiss NUT0.0008591100.00085911FALSEdecrease
pass HAMMER0.0008591100.00085911FALSEdecrease
pass KERNEL0.0017182100.00171821FALSEdecrease
pass NUT0.017182130.001962710.01521942FALSEdecrease
peelhand SHELL0.002577320.003925420.0013481FALSEincrease
peelteeth SHELL0.055841920.123650640.06780871TRUEincrease
place HAMMER0.012027490.001962710.01006478FALSEdecrease
place KERNEL0.006013750.000981350.00503239FALSEdecrease
place NUT0.096219930.04514230.05107763TRUEdecrease
relocate0.006872850.002944060.00392879FALSEdecrease
reorient ANVIL0.009450170.003925420.00552475FALSEdecrease
rollhand HAMMER0.0008591100.00085911FALSEdecrease
spit SHELL0.000859110.000981350.00012225FALSEincrease
strikeonehand HAMMER0.353951890.444553480.09060159TRUEincrease
strikeonehand NUT0.0008591100.00085911FALSEdecrease
supportfoot ANVIL0.003436430.002944060.00049236FALSEdecrease
touchfoot ANVIL0.0008591100.00085911FALSEdecrease
touchhand ANVIL0.004295530.003925420.00037012FALSEdecrease
touchhand HAMMER0.0051546400.00515464FALSEdecrease
touchhand KERNEL0.006013750.002944060.00306968FALSEdecrease
touchhand NUT0.014604810.031403340.01679853FALSEincrease
touchhand SHELL0.000859110.003925420.00306631FALSEincrease
bite SHELL00.000981350.00098135FALSEincrease
brush HAMMER00.000981350.00098135FALSEincrease
grasp SHELL00.002944060.00294406FALSEincrease
reorient HAMMER00.000981350.00098135FALSEincrease
supporthand ANVIL00.000981350.00098135FALSEincrease
Appendix 3—table 1
Summary of nut cracking and processing metrics for Tua, Jire, and Yo between 2008 and 2016.

Total time duration is summarized by mean and standard deviation. All other metrics are summarized by medians and interquartile ranges. Horizontal lines indicate where no data is available for a given year. Information on how each metric is defined and estimated can be found in the Methods.

IndividualMetricYear and Nut Type
200820112016
TUAoil-palm
(n=81)
coula
(n=26)
-
Means (sd)
Total Time (s)10.6 (6.34)54.7 (92.6)-
Medians (IQR)
Actions8 (4)25.5 (16)-
Action Types6 (2)8 (3)-
Strikes2 (2)7 (6.75)-
Nut Positioning1 (0)2 (2.75)-
Tool Reorientations0 (0)0 (0.75)-
Tool Changes0 (0)0 (0)-
Jireoil-palm
(n=104)
oil-palm
(n=25)
coula
(n=17)
oil-palm
(n=82)
Means (sd)
Total Time (s)12.8 (8.37)21.8 (14.9)44.6 (21.6)21.9 (22.3)
Medians (IQR)
Actions8 (5)11 (6)26 (17)11 (7.75)
Action Types6 (2)7 (3)11 (2)7 (2)
Strikes2 (2)3 (3)7 (4)4 (2)
Nut Positioning1 (1)1 (1)3 (1)1 (1)
Tool Reorientations0 (0)0 (0)0 (1)0 (0)
Tool Changes0 (0)0 (0)0 (0)0 (0)
Yooil-palm
(n=141)
coula
(n=20)
oil-palm
(n=33)
Means (sd)
Total Time (s)28.1 (24.6)186 (183.4)55.9 (42.3)
Medians (IQR)
Actions11 (6)88.5 (60.5)27 (14)
Action Types7 (1)11.5 (8.5)8 (1)
Strikes4 (2)27 (23)12 (8)
Nut Positioning1 (1)11 (22.25)2 (1)
Tool Reorientations0 (0)0.5 (4.25)0 (0)
Tool Changes0 (0)0 (7.25)0 (0)
Appendix 4—table 1
Total time taken for Yo to crack oil-palm nuts in 2018.

Encounter numbers indicate where data was collected for the same encounter. Nut number indicates which nut (in chronological order) Yo was cracking for a specific encounter. Numbers missing from this chronology were removed as we could not reliably estimate start and end times.

EncounterNut NumberDuration (s)
96145
9773
9824
9929
111220
113173
114165
11554
11642
11717
11836
11975
111037
111735
111859
111954

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  1. Elliot Howard-Spink
  2. Tetsuro Matsuzawa
  3. Susana Carvalho
  4. Catherine Hobaiter
  5. Katarina Almeida-Warren
  6. Thibaud Gruber
  7. Dora Biro
(2025)
Old age variably impacts chimpanzee engagement and efficiency in stone tool use
eLife 14:RP105411.
https://doi.org/10.7554/eLife.105411.3