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Knowledge transmission, culture and the consequences of social disruption in wild elephants

The Royal Society
Philosophical Transactions B
Authors:

Abstract

Cultural knowledge is widely presumed to be important for elephants. In all three elephant species, individuals tend to congregate around older conspecifics, creating opportunities for social transmission. However, direct evidence of social learning and cultural traditions in elephants is scarce. Here, we briefly outline that evidence then provide a systematic review of how elephant societies respond to the loss of potentially knowledgeable individuals or opportunities for knowledge transfer, which we characterize as social disruption. We consider observations from 95 peer-reviewed, primary research papers that describe disruption to elephant societies or networks via the removal or death of individuals. Natural deaths were mentioned in 14 papers, while 70 detailed human-caused deaths or disruption. Grouping descriptions according to consequences for behaviour and sociality, and demography and fitness, we show that severely disrupted populations are less cohesive, may exhibit reduced fitness or calf survival and respond inappropriately to threats and predators. We suggest that severe social disruption can inhibit or break potential pathways of information transmission, providing indirect evidence for the role of social transmission in elephants. This has implications for elephant conservation amid increasing anthropogenic change across their habitats. This article is part of the theme issue ‘Animal culture: conservation in a changing world’.
Knowledge transmission, culture and
the consequences of social disruption in
wild elephants
Lucy Bates1, Victoria Louise Fishlock2,3, Joshua Plotnik4,5, Shermin de Silva6,7
and Graeme Shannon8,9
1School of Psychology, Sport and Health Sciences, University of Portsmouth, Portsmouth PO1 2UP, UK
2Amboseli Trust for Elephants, Nairobi, Kenya
3Centre for Ecology and Conservation, University of Exeter College of Life and Environmental Sciences, Exeter TR10
9FE, UK
4Department of Psychology, Hunter College, City University of New York, New York, NY 10065, USA
5Department of Psychology, The Graduate Centre, City University of New York, New York, NY 10016, USA
6Department of Ecology and Evolution, University of California San Diego, La Jolla, CA 92093, USA
7Trunks & Leaves Inc, Pittsfield, MA 01201, USA
8School of Environmental and Natural Sciences, Bangor University, Bangor LL57 2DG, UK
9Norwegian Institute for Nature Research, 7034 Trondheim, Norway
LB,0000-0003-4746-3312; SdS,0000-0001-5804-213X; GS,0000-0002-5039-4904
Cultural knowledge is widely presumed to be important for elephants.
In all three elephant species, individuals tend to congregate around older
conspecifics, creating opportunities for social transmission. However, direct
evidence of social learning and cultural traditions in elephants is scarce.
Here, we briefly outline that evidence then provide a systematic review of
how elephant societies respond to the loss of potentially knowledgeable
individuals or opportunities for knowledge transfer, which we characterize
as social disruption. We consider observations from 95 peer-reviewed,
primary research papers that describe disruption to elephant societies
or networks via the removal or death of individuals. Natural deaths
were mentioned in 14 papers, while 70 detailed human-caused deaths or
disruption. Grouping descriptions according to consequences for behaviour
and sociality, and demography and fitness, we show that severely
disrupted populations are less cohesive, may exhibit reduced fitness or calf
survival and respond inappropriately to threats and predators. We suggest
that severe social disruption can inhibit or break potential pathways of
information transmission, providing indirect evidence for the role of social
transmission in elephants. This has implications for elephant conservation
amid increasing anthropogenic change across their habitats.
This article is part of the theme issue Animal culture: conservation in a
changing world’.
1. Introduction
Evidence for animal culture—defined by Laland & Hoppit as ‘group-typi-
cal behaviour patterns shared by members of a community that rely on
socially learned and transmitted information’ ([1], p. 151)—is increasingly
widespread in the animal kingdom, recognized in taxa as diverse as bees
and whales [2–4]. Animals may use socially transmitted knowledge to obtain
food, attract mates, learn about predators or threats and acquire appropri-
ate or relevant social behaviour [5]. These socially acquired ‘group-typical
behaviour patterns’ can be thought of as ‘traditions’, such that a population’s
entire culture can be considered as an array of traditions covering different
domains of behaviour [6]. Social learning is, therefore, a requisite of culture,
© 2025 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution
License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original
author and source are credited.
Review
Cite this article: Bates L, Fishlock VL, Plotnik J,
de Silva S, Shannon G. 2025 Knowledge
transmission, culture and the consequences of
social disruption in wild elephants. Phil. Trans. R.
Soc. B 380: 20240132.
https://doi.org/10.1098/rstb.2024.0132
Received: 2 October 2024
Accepted: 13 January 2025
One contribution of 19 to a theme issue ‘Animal
culture: conservation in a changing world’.
Subject Areas:
cognition, ecology, behaviour
Keywords:
elephant culture, elephant conservation, social
disruption, social knowledge
Authors for correspondence:
Lucy Bates
e-mail: Lucy.Bates@port.ac.uk
Graeme Shannon
e-mail: g.shannon@bangor.ac.uk
Electronic supplementary material is available
online at https://doi.org/10.6084/
m9.figshare.c.7774619.
but evidence of social learning alone is not sufficient to claim culture: there must also be evidence that the acquired behaviour
persists (for a tradition) and has spread among members of a group (for culture) [7].
Social learning and animal culture can have important implications for conservation [8,9]. For example, accounting for
socially transmitted knowledge and behavioural traditions can improve post-release survival of re-introduced individuals
[10–12], help to define relevant ecological niches or adaptations [13–15], and determine whether or how animals can acquire
important information such as migration routes [16–18]. This relevance to conservation means policymakers, practitioners and
researchers have a responsibility to consider social networks and the social acquisition of knowledge in the species they seek
to conserve [19]. Yet, it can be difficult to identify, observe and study social learning in the wild [7], which may lead to some
species being excluded from advances in conservation practice or policy. Therefore, alternative evidence of the role of social
learning and culture may be necessary. Disrupting social systems by removing individuals can sever information transmission
chains [20,21]; assessing how animals respond to such disruption may provide indirect but useful evidence of the role of
transmission chains and social learning.
Somewhat surprisingly, elephants are one such taxon where it has so far proven difficult to determine the extent of social
learning and the role of culture in their societies. There are three recognized elephant species: African savannah (Loxodonta
africana) and forest (Loxodonta cyclotis), and the Asian elephant (Elephas maximus). Globally, all three are declining [22–24], and
they are listed as endangered or critically endangered [24–28]. Elephants are considered conservation icons, being charismatic
keystone species that shape the ecosystems they inhabit [29,30], and there is often an assumption that elephants should exhibit
culture: they are large-brained, highly social and have long periods of juvenile dependency, which provides plenty of opportu-
nity to learn from elders and peers [6]. However, evidence for the social acquisition and transmission of knowledge has not
been previously reviewed. We aim to address this gap by summarizing the evidence suggesting culture may be important to
elephants and presenting newly synthesized evidence of what happens when elephant social networks are disrupted by the
death or long-term removal of any member of a population.
(a) Current evidence of culture in elephants
(i) Opportunities for social learning
Elephants occupy extensive habitat gradients [31–33], with each environment presenting different ecological challenges that
likely require specialized behavioural adaptations (e.g. [34,35]). Moreover, all elephant species exhibit fission–fusion social
dynamics [32,33,36–39] that provide ample opportunities for vertical, horizontal and oblique transmission of information
throughout their lifespans. A mother and her dependent offspring form the basic unit, and calves remain dependent on
their mothers for many years [40–42]. Calves consistently maintain close proximity to elders (mothers or allomothers) [38,43],
and although it has not yet been validated as such, this proximity may allow visual and olfactory investigation, functionally
equivalent to the peering behaviour of immature primates that serves as an index of their social learning [44].
In savannah elephants, several adult females group together to form a ‘family’ or core group, which is typically led by a
matriarch (usually the oldest female) [38]. These groups are characterized by persistent and strong social bonds, although adult
females within a core group may separate for hours or days before reuniting [45]. Asian elephants are usually found in smaller
groups than savannah elephants, with higher rates of fission and fusion among social affiliates [32,33], but this may be an effect
of historical human impacts [33]. Forest elephants likely also range in small groups, and the closest female associations may
be less tied to relatives than with savannah elephants [46], as sexually mature females can disperse from their natal group
[47]. However, forest elephants are known to associate in large numbers at forest clearings, apparently with the objective of
maximizing opportunities for social interaction [36].
In all elephant species, males disperse from the family as teenagers [47–50], gradually developing independence. Young
independent savannah males preferentially seek out the company of older males [48,49,51], providing an opportunity to learn
male dominance structures, which are based on sexual status, physical size and strength, and behavioural traits [52]. As they
age, males of all species enter annual ‘musth’ phases—periods of greatly heightened testosterone that can last several months,
which signal social and sexual maturity [53]. During musth, males range widely and compete for sexually receptive females
[52,54–56]. However, for most of the year, savannah males are sociable and commonly form all-male groups [49,57,58]. These
male groups may be particularly important under conditions of high-risk foraging, for both Asian and savannah elephants
[50,59].
Alongside their complex social structure, all three species exhibit an extensive communicative repertoire, using vocalizations
and chemical, tactile and visual signals [60–62]. Elephant societies are built on individual recognition: savannah elephants
recognize and respond appropriately to many other individuals across vocal and olfactory domains [63–65] and communicate
intentionally [66], targeting vocalizations towards particular conspecifics using individual identity labels [67]. Furthermore,
experimental and observational studies have shown that elephants are empathic and understand the goals of others [68–70],
that they exhibit complex responses to dead conspecifics [71–76], and that Asian elephants have the capacity for self-awareness
[77]. These cognitive abilities might support or contribute to forms of social learning [78] (but see also [79]).
(ii) Evidence for social learning and information sharing
Captive savannah elephants presented with a classic ‘two-action’ feeding apparatus did not copy a demonstrator, but results
provided evidence of local enhancement (whereby the actions of the demonstrator likely focused the attention of the learner on
a particular location) [80]. Similarly, captive Asian elephants displayed stimulus enhancement (where attention is focused on
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an object) in response to apparatus set up for the Aesop’s fable’ experimental task, but there was no evidence they learned to
solve the task by watching the actions of others [81]. Captive Asian elephants in Thailand cooperated in an experimental task
requiring coordinated rope pulling [69] and captive individuals in Myanmar tested on a similar task in larger groups worked
to mitigate competition to maintain a high level of cooperation [82]. This cooperation could be based on social affordance
learning, where the operating characteristics of objects are shared. There is evidence of vocal imitation in both savannah and
Asian elephants, whereby they copy sounds they hear that are outside the normal vocal repertoire of the species [83,84]. Finally,
observational data suggest that older female savannah elephants might actively demonstrate (i.e. ‘teach’) appropriate oestrous
behaviour to naive females as they become sexually receptive for the first time, so that they attract the best males [85].
Brakes et al. [9] encourage consideration of indirect evidence for social learning. Risky foraging strategies may be socially
influenced; male savannah elephants are more likely to be crop raiders if their closest associates are raiders [59], and the
acquisition of fence-breaking behaviour might be similarly socially transmitted, with researchers currently testing this predic-
tion (V. L. Fishlock 2024, personal communication; J. Plotnik 2024, personal communication). An experimental study assessing
differences in reactions to cues of a potential danger (the scent of cloth worn by Maasai warriors, who occasionally spear
savannah elephants) showed families with no direct history of being speared reacted as strongly as families that had experi-
enced spearing [86]. It remains to be tested if this response is based on social acquisition.
(iii) Evidence for socially acquired traditions or culture
Despite the relative paucity of evidence for social learning, there are some compelling indications of persistent traditions
in free-ranging elephants. Familial social network positions may be traditional, with network analysis demonstrating that
immature savannah females attempt to assume and maintain the place of their mothers and family in society after older
individuals were killed by poaching [87]. In forest elephants, travel paths and resource patch selections appear to be traditional,
as these elephants use well established paths to specific resource patches, and their preferences are not explained by resource
quality or accessibility [88]. Social acquisition seems highly likely in both cases, although it is yet to be definitively demonstra-
ted.
Moreover, evidence suggests savannah elephants may possess something akin to vocal dialects, which are potentially
socially learned and traditional. Comparisons of combinatorial vocalizations produced by the three different elephant species
found sequence differences among populations’ repertoires that did not align with phylogenetic distance [89], and a recent
analysis of ‘rumble’ vocalizations across savannah elephants in Amboseli and Samburu found differences in the fine structure
of the calls both between and within the populations [90]. Group membership was a better predictor of rumble similarity than
relatedness, suggesting the call features were learned socially rather than genetically inherited.
(iv) Assessing the consequences of social disruption
Social disruption is known to have impacts for behaviour and conservation [20], although it is difficult to study these effects
in wild populations [91,92]. Evidence suggests that social network structures can be resilient to severe social disruption across
many animal species [87,91,93], but individual responses can vary and remain poorly understood [94]. Throughout their ranges,
elephant populations have been subject to considerable social disruption, both from natural events (e.g. severe droughts) [95,96]
and from anthropogenic causes (e.g. poaching or hunting; accidents such as train collisions; and management interventions
such as culling, translocation or euthanasia after conflict arises) [97–99]. Reviewing available literature on elephant ecology and
management provides an opportunity to broaden our knowledge of the consequences of social disruption and to consider its
impacts on knowledge transmission.
2. Methods: review of social disruption and its consequences in elephants
This systematic review was conducted following established procedures used in medical sciences [100,101].
(a) Inclusion criteria
To be included, papers had to:
(1) Be published in peer-reviewed, English-language journals. Book chapters and grey literature were excluded;
(2) Relate to free-ranging elephant populations. Studies of captive or semi-captive elephants were excluded;
(3) Include an element of direct behavioural data collection (observational or experimental). Studies with a veterinary, genetic
or morphological focus, and studies that only used remote sensing data collection techniques (such as dung counts, aerial
counts and GPS/radio collar tracking) without any direct observations were excluded on the grounds that they could not
attest to the behavioural implications of any social disruption;
(4) Detail some form of social disruption. This could be the death or removal (i.e. translocation) of one or more elephants
of any age within the group or population being studied. Papers were retained if they contained any of the words (or
variations of): death, culling, hunting, lethal population control, poaching, orphaning, removal or translocation.
Criteria 1 and 2 were imposed in the initial stages of the search, criterion 3 was enforced when paper titles and abstracts were
screened, and criterion 4 during full-text screening and data extraction.
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Reports of birth control were not included a priori. Birth control aims to alter the demographic profile of a population, which
could be considered disruptive, but it does not do so by removing existing elephants. Additionally, short-term or immediate
disturbance of an elephant group owing to a finite activity (e.g. tourist viewing or crop-protection activities) was not included in
our definition of disruption unless it resulted in long-term change to the demographic composition of the elephant group.
Figure 1. The systematic review process.
Table 1. Source of extracted data, showing the number of papers per species, country and type of disruption. Some papers mention more than one type of disruption.
‘Orphans’ refers to papers that discuss the fate of orphans without stating how the mother died. ‘Culling and translocation’ refers to elephants that were spared
from culling operations and subsequently translocated to establish new populations as juveniles. Extant resident population information is taken from IUCN Red List
assessments [24–28].
species countries with
extant resident
populations
countries
contributing
papers
country number of
papers
disruption types described
Asian (n = 8) 13 2 India 4 hunting, poaching, train accidents, unspecified
Sri Lanka 3 conflict killing, translocation, unspecified
combination 1 unspecified
forest (n = 6) 20 3 Central African Republic 3 poaching (n = 3), hunting
Gabon 1 natural death
Republic of Congo 1 poaching
combination 1 poaching
savannah (n = 81) 23 7 Kenya 37 conflict killing (n = 3), natural death (n =
7), orphans (n = 5), poaching (n = 13),
translocation (n = 5), unspecified (n = 7)
Tanzania 11 natural death, poaching (n = 10)
Uganda 2 natural death, poaching (n = 2)
Botswana 3 natural death (n = 2), translocation
Namibia 1 poaching
South Africa 25 culling and translocation (n = 17), hunting,
natural death, poaching, translocation (n =
4), unspecified
Zimbabwe 1 culling
multiple 1 unspecified
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Table 2. Reported effects of social disruption. Human-caused deaths incorporate culling, poaching, hunting, conflict killing and accidents. Some papers mention more than one type of disruption.
natural deaths human-caused deaths translocation unspecified
Asian (n = 0) African forest (n = 1) African savannah
(n = 13)
Asian (n = 4) African forest
(n = 5)
African savannah
(n = 48)
Asian (n = 1) African savannah
(n = 12)
Asian (n = 3) African savannah
(n = 11)
evidence comments on sociality/behaviour 1 13 3 4 46 1 12 3 9
demography/fitness 7 2 4 37 1 4 5
data suggest resilience in behaviour, sociality or fitness 1 1 20 6 2
age/experience effects 4 18 1 5
potential for increased human conflict 1 1 8 1 4
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(b) Database searches
We searched Web of Science and Science Direct using the search terms Elephant AND Loxodonta OR Elephas, with a date
range of 1970–2023. For Google Scholar, we used the Advanced Search function to exclude studies with the words ‘captive’ or
‘captivity’. For the Web of Science and Science Direct searches, excluding captive studies in the search proved unreliable, so we
manually excluded studies of captive elephants from those searches.
These searches, conducted in January 2024 and detailed in figure 1, returned 4644 papers from Web of Science, 576 papers
from Science Direct, and 1960 from Google Scholar, the total being reduced to 1189 papers after applying inclusion criteria 1 and
2. These were uploaded to a Rayyan.ai database. Rayyan is a Web-based application, which was used to manage the subsequent
manual screening and identify duplicates, which were checked and resolved by author L.B. This resulted in a database of 1035
citations detailing studies of wild elephant behaviour.
(c) Screening
L.B. screened the titles and abstracts in Rayyan for inclusion criterion 3, then manually screened the full text of the remaining
268 papers using search terms in criterion 4 to retain only those papers that detailed a form of social disruption to a wild
population. L.B. then scanned her own research library to ensure inclusion of any other papers that met all the inclusion criteria.
This step added three papers, as detailed in figure 1 and the electronic supplementary material.
(d) Data extraction and assessment of bias
Metadata from the 95 retained papers were entered into a spreadsheet, noting the elephant species and population studied,
study country and study type (e.g. observational, experimental). We recorded the type of disruption documented in the paper
(e.g. natural death; human-caused death, incorporating poaching, culling, hunting, conflict killing and accidents; unspecified
deaths; or translocations) and details of the number and age/sex of the individuals affected, summarized any socio-behavioural
and demographic or fitness consequences presented, and noted evidence of behavioural or social resilience, age or experience
effects, or suggestions of increased conflict with humans.
Assessing possible sources of bias is an important part of reviews [100,101]. It is particularly important to be aware of
publication bias, where positive or strong results are more likely to be reported. We consider this in §3.
(e) Analysis
Extracted data were grouped according to the type of disruption experienced by the elephants. We then considered the pattern
of consequences reported, grouped as behavioural and social impacts and demographic or fitness consequences. Finally, we considered
the impacts for behavioural or group resilience, any age or experience effects that were recorded, and whether any likely
impacts for people were noted (e.g. conflict or coexistence).
3. Results and discussion
This review surveyed 95 peer-reviewed research papers detailing long-term disruption to the social structure of elephant
populations. Papers represent elephants from 12 countries, as shown in table 1, with research observations heavily concentrated
in a few places. Most papers (n = 81, 85%) reported effects for savannah elephants, with just n = 8 describing Asian elephants
and n = 6 for forest elephants. The full dataset of observations mined from each paper can be found in the electronic supplemen-
tary material, while table 2 summarizes the extracted observations.
The initial search terms allowed inclusion of papers from 1970 to 2023, yet only three papers from the final 95 were published
prior to 2000 (all three of which detail observations of savannah elephants in Kenya). Since 2000, the rate of papers reporting
social disruption appears consistent: 34 relevant papers (36%) are from 2000 to 2009, 39 (41%) are from 2010 to 2019, and 19
(20%) are from the 4 years up to the end of 2023. Papers variously reported disruption effects on a handful of individuals
(minimum = 1 elephant) up to entire populations, covering all age- and sex-classes of all three elephant species. The disruption
type most frequently mentioned was poaching (n = 33), followed by ‘culling and translocation’ (n = 17, referring to elephants
that were spared from culling operations in southern Africa as juveniles and translocated to establish new populations) and
natural deaths (n = 14). Cause of death was not specified in 12 papers.
(a) Consequences of social disruption
It is important to acknowledge that individual- and population-level consequences of natural and human-caused disruption
have not yet been widely reported for Asian and forest elephant species, as is evident from tables 1 and 2. However,
social disruption appears to have substantial effects on elephants. In all three species, demographic and fitness consequences
were most often reported after the killing of elephants by humans (particularly poaching). This can skew natural sex ratios,
which reduces mate competition and thereby potentially reduces the fitness of the remaining elephants [47,102–111]. Social–
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behavioural consequences were also widely reported, with evidence from savannah elephants that social disruption can
reduce social cohesion, changing the social structure of populations and rendering individuals less socially discriminating
[45,104,105,112]. Reductions in social interaction after disruption were also noted in Asian elephants [33].
Reduced social cohesion was noted in savannah elephants after the natural death of a matriarch [39,113,114], but the most
profound changes reported occurred after more extensive, human-induced disruption (i.e. poaching and culling) or severe
droughts [105,107,109,115–118]. This is likely to be due to the scale and extent of deaths caused by such disruption events,
whereby a considerable proportion of a population perishes in a relatively short time span. Translocation can also have severe
negative impacts for the individuals removed [119–121], although the social and fitness consequences have not been widely
studied for the source and receiving populations [122]. However, where the scale of translocation is small, the consequences
may be less pervasive than for extensive disruption such as poaching.
Even among severely disturbed populations, the consequences of social disruption can vary. In cases of population-wide
intense or long-term poaching, such as at Dzanga, Ruaha and Mikumi [47,105,109], age of primiparity and inter-birth intervals
are high, resulting in slow population recovery (although fecundity in forest elephants may reflect generally slower life history
[47]). In other poached savannah populations, reproductive rates increased following disruption—as seen in Samburu and
Tarangire [123,124]. In the much smaller, spatially and socially limited populations of South Africa that were founded by
translocating juveniles spared from culling exercises [125], reproductive output is very high, with very low ages of primiparity
and short inter-birth intervals resulting in exponential population growth [126–128].
These patterns may not be as contradictory as they appear. Disruption in Mikumi, for example, was extremely severe, with
very few older adults remaining after devastating poaching and extremely low sociality among survivors [104]. We suggest
the young age and weak social bonds could have impeded reproduction. Poaching in Samburu and Tarangire—although
severe—was not as catastrophic, which perhaps allowed a slightly greater degree of cohesion and resilience amongst survivors
[124,129,130], which in turn could enable more successful reproduction. Similar social buffering of disruption effects has
been noted in mountain gorillas, where relationships in cohesive social groups mitigated the long-term adversity typically
expected after loss of the mother [131]. For elephants, decreased feeding competition in recovering populations could also
contribute to mitigation and increased reproduction rates, although this was evidently not the case in Ruaha and Mikumi. High
reproductive rates have been recorded in Kruger after culling [132], where remaining core groups were left largely intact and
resource competition was reduced. Alongside access to nutritional resources, sufficient social cohesion to allow for something
approximating a normal social structure appears important for the resumption of successful reproduction.
Although high reproductive rates were reported in Samburu, survivorship remained low, particularly compared with life
expectancy in Amboseli, which has a population with many more elders, having been spared the intensity of poaching observed
elsewhere in Kenya [123]. This points to the potential role of elders in increasing population life expectancy, consistent with
observations from Amboseli and semi-captive Asian elephants (not included in the review) that calf survival increases when
older females are present in the family [38,41,133]. Moreover, maternal and matriarchal loss are the strongest predictors of life
expectancy in Amboseli [41,113]; calves of primiparous savannah females experience the highest risk of mortality [41,42,113];
and the presence of a mother reproducing simultaneously with her daughter improves survival of the daughter’s calf [41].
Neither age nor size of the mother at first birth influence chances of calf survival, which suggests this increased mortality is not
about the mother’s physicality (nor her ability to produce sufficient milk). Instead, it is possible that mothers have to learn key
maternal skills, such as how to manage and balance their own needs with those of their calf [41], and that modelling from more
experienced individuals enhances this skill acquisition. However, the exact contribution of knowledge to survivorship—and the
role of matriarchs and elders in sharing this knowledge—remains to be tested.
(b) Implications for knowledge acquisition and culture
While further research is required to determine how elephants acquire and share information, several studies clearly demon-
strate that age and experience are important to savannah elephants, as they are in other long-lived species [134]. Acquired
knowledge can be remembered over significant timeframes by elders [64], and savannah families led by older matriarchs
display greater social knowledge [117,135], more appropriate behaviour in response to threats and predators [136,137] and
greater calf survival during droughts [96]. Moreover, even in normal climatic periods the presence of matriarchs is important
for calf survival [113], and the absence of elders might contribute to slow calf recruitment in some populations after severe
disruption [107]. These matriarch effects may not be based specifically on knowledge, however, but in some cases could reflect
the age-and-size-based dominance hierarchies of savannah elephants that potentially allow families led by older matriarchs to
secure access to better resources [138]. More research is required to differentiate these possibilities.
While elders may be more knowledgeable, learning and adaptations to new problems or extreme situations can be slow,
exemplified by observations of increasing predation by lions in the Savuti region of Chobe, Botswana [139,140]. Other ungulates
migrate away from the area in the dry season, reducing prey abundance for resident lions. However, artificial water points have
been added relatively recently, and these are monopolized by elephants in the dry season. This has allowed elephants to be
more sedentary, and lions have taken advantage of this by successfully hunting (mostly juvenile) elephants [139,140]. When the
initial studies were published, there was no evidence that elephants were adapting to the increased predation risk by altering
their behaviour (e.g. becoming more vigilant or clustering together). However, large lion prides targeting elephants are rare,
so learning about this specific threat could be slow, making elephant decision-making appear maladaptive in the short term.
Indeed, the overall threat from lions is likely to remain relatively low at the population level and, coupled with the elephants'
conservative behavioural patterns, this could cause delayed responses to such environmental pressures [141]. Follow-up studies
would provide valuable insights into whether these elephants have since altered their behaviour.
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Moreover, while elders are important in elephant society, groups led by younger individuals are not necessarily bound to
make poor choices. When forced, elephants can adapt and learn to survive with reduced social structures or young populations,
as seen in the responses of some heavily poached populations. With fundamental decisions relating to foraging and mating,
there is considerable evidence that youngsters can function nearly as well as elders [106]. When elders are not present, elephants
rely on associating with age-mates [142,143] and one potential benefit of this, beyond the typical socio-ecological benefits of
grouping, could be the horizontal sharing of knowledge. Juveniles work to maintain the social ties and network structure of
their deceased core-group members [87], although this does not always appear to be possible [104]. Perhaps social cohesion
patterns before poaching are important, as well as the number of age-mates remaining with which to form a network after
disruption [143,144].
Even after extreme disruption—as in the cases of orphans from culling events being used to establish new elephant
populations in South Africa, where the juvenile elephants had no access to elders as they matured—it is apparent that basic
biological functions are maintained [126,145]. Indeed, many of these populations have exhibited exponential growth rates,
despite the lack of elders [127,128]. However, population numbers do not tell the whole story. Some of these ‘cull-orphan’
populations lack potentially significant forms of knowledge that are acquired and used by elders in other, intact, populations—
such as fine-scale social discrimination and interpretation of predatory threat [117,137]; and there are several reports that some
of these populations exhibit aberrant or deviant behaviours such as heightened aggression that can endanger people, other
animals and themselves [97,127,146]. It is reasonable to predict that this behaviour stems from the lack of appropriate role
models and may additionally reflect responses to long-term trauma or early life adversity from losing their mothers during the
cull [147–149].
Furthermore, it should be noted that artificial water points that allow year-round access to water are typical of the small,
fenced game reserves of South Africa that have exhibited exponential growth rates [97]. The reproductive success of the
translocated cull orphans in these reserves is perhaps possible—or at least rendered more likely—because it may be easier for
the young ‘matriarchs’ in these juvenile populations to individually acquire necessary resource information, with long-term
knowledge of resource locations likely being less critical in such relatively limited areas with abundant and predictable food
and water. Conversely, translocations that have moved elephants to more expansive new areas often result in homing behaviour
[119–121,150,151], and learning about new areas can be slow and cautious when the range area is potentially extensive [122,152].
(c) Limitations and consideration of bias
A number of limitations and biases are inherent to a review of this nature. Firstly, research is not evenly spread across
species and populations. Most of the results describe savannah elephants in Kenya (where there are two long-term research
sites [153,154]) and South Africa (where much research has focused on the ecological impacts of fencing elephants in small
reserves [125]). The relative under-representation of forest and Asian elephants must be considered when drawing conclu-
sions—especially given subtle differences in social systems across the species. However, the relative lack of evidence about
forest or Asian elephants does not imply that social disruption and the loss of elders are not important for these species: some
studies suggest that forest and Asian elephants respond like the savannah species to social disruption [33,47,108]. Although
more research is needed, for now we should assume that social disruption will have similar fitness consequences in all
elephants.
Secondly, we only included peer-reviewed papers that contain direct observations of elephant behaviour and which note
some form of social disruption to the population or study group. It is likely that more evidence could be gained from
widening the search parameters to include grey literature or studies that only involved remote data collection rather than
direct behavioural observations. However, while this may add to the depth of evidence, we do not think it would alter the
general direction of the results presented here. Thirdly, it is not easy to determine the causes of many of the effects noted here,
particularly where papers mention two or more types of disruption, or in the case of ‘culling and translocation’ (table 1 and
electronic supplementary material)—where either or both actions can be considered highly disruptive and potentially traumatic
[97,98,147].
Most papers studied the social structure and/or demographics of the population after a disruption, but not necessarily
individual behavioural responses. This reflects the substantial research effort undertaken to understand elephant demography
and general socio-ecology, perhaps at the cost of understanding individual differences [155], and may reflect a publication
bias against ‘case studies’ of individuals. Additionally, relatively few studies included here directly discussed the consequences
of disruption for learning and knowledge acquisition, with little mention of observed resilience or age-experience effects,
nor of how the disruption may impact humans living or working alongside the elephants. This needs addressing in future
research, given increasing pressure between humans and elephants [156–158], and the acknowledged role of social learning in
conservation success [8,9]. We have sought to be transparent when our consideration is based on a degree of interpretation and
we recognize that our predictions need testing and verification.
(d) Conclusions and implications
Although evidence of culture remains relatively sparse for elephants, data demonstrating socially inherited behavioural
traditions are building, as we have outlined. Moreover, the maxim that elephant elders ‘are repositories of knowledge’ [135]
holds up: this conclusion, previously drawn from a few seminal studies (e.g. [96,135,136]), is widely apparent across the papers
reviewed here (and see [159]). We cannot yet conclude how elders acquire their knowledge, nor whether naive individuals learn
8
royalsocietypublishing.org/journal/rstb Phil. Trans. R. Soc. B 380: 20240132
by observing them, but it is clear that elephants benefit from having elders present in their society. However, further research is
needed to explore the extent of social learning and the persistence and spread of traditions in elephants.
Given the relative paucity of studies researching elephant culture, we adopted an alternative approach—assessing the effects
of disrupting social structures. Social disruption, particularly when it is extensive, evidently has substantial consequences
for elephants. Disruption reduces social cohesion, and although there is some resilience and elasticity to elephant sociality,
disturbance can result in severe, long-term fitness consequences across populations and generations, with some evidence that
this may have downstream impacts for people in close proximity to elephants. While elephant societies can function at a basic
level without elders, maladaptive or deviant behaviour can arise. Social structure can influence information spread and, in
at least some of the research evidence reviewed here (e.g. [115,117,121,137,152,160,161]), it is likely that social disruption had
substantial impacts because it severed potential information transmission chains, thus providing indirect evidence of the role of
social learning in elephant society. Our approach may be beneficial for other species where studies of social learning are lacking,
to ascertain whether conservation efforts should address disruption to social networks.
Based on our review, we argue that future elephant conservation plans should prioritize social cohesion and preservation
of group structure: maintaining existing vertical, oblique and horizontal transmission chains should be a primary aim of
management efforts.
Additionally, we recommend (i) prioritizing disruption assessments for forest and Asian elephants, which are currently
under-represented; (ii) clearly reporting the type of disruption experienced by populations being studied and increasing
consideration of any resilience or age–experience effects, as well as noting if any increased conflict with people is likely; (iii)
ensuring that translocation strategies assess both source and destination populations and incorporate follow-up monitoring;
and (iv) ensuring management and permitting authorities consider the behaviour, demography and cultural history of elephant
populations when determining appropriate actions.
All three elephant species share much of their range with humans, and our transformations of their habitats and society
could have profound consequences for their survival [162] as well as our wellbeing [163]. We must consider how elephants may
respond or adapt [158,164,165], and that requires taking potential knowledge acquisition pathways and social consequences into
account.
Ethics. This work did not require ethical approval from a human subject or animal welfare committee.
Data accessibility. The electronic supplementary material, available online, includes details of all papers that were included in this systematic
review, and shows the information we extracted from each [166].
Declaration of AI use. We have used AI-assisted technologies in creating this article.
Authors’ contributions. L.B.: conceptualization, data curation, formal analysis, methodology, writing - original draft; V.L.F.: conceptualization,
methodology, writing—review and editing; J.P.: conceptualization, writing—review and editing; S.d.S.: conceptualization, writing—review and
editing; G.S.: conceptualization, writing—review and editing.
All authors gave final approval for publication and agreed to be held accountable for the work performed herein.
Conflict of interest declaration. We declare we have no competing interests.
Funding. No funding has been received for this article.
Acknowledgements. We acknowledge members of the CMS Culture and Conservation Working Group, and L.B. thanks Karen McComb, Jemima
Scrase and Tapinder Sidhu for stimulating discussions. We also thank Andrew Whiten and two anonymous reviewers for their very helpful
comments.
References
1. Laland KN, Hoppitt W. 2003 Do animals have culture? Evol. Anthropol. 12, 150–159. (doi:10.1002/evan.10111)
2. Bridges AD, Royka A, Wilson T, Lockwood C, Richter J, Juusola M, Chittka L. 2024 Bumblebees socially learn behaviour too complex to innovate alone. Nature 627, 572–578. (doi:
10.1038/s41586-024-07126-4)
3. Whitehead H, Rendell L, Osborne RW, Würsig B. 2004 Culture and conservation of non-humans with reference to whales and dolphins: review and new directions. Biol. Conserv.
120, 427–437. (doi:10.1016/j.biocon.2004.03.017)
4. Whiten A. 2021 The burgeoning reach of animal culture. Science 372, e6514. (doi:10.1126/science.abe6514)
5. Whiten A. 2017 A second inheritance system: the extension of biology through culture. Interface Focus 7, 20160142. (doi:10.1098/rsfs.2016.0142)
6. Whiten A, van Schaik CP. 2007 The evolution of animal ‘cultures’ and social intelligence. Phil. Trans. R. Soc. B 362, 603–620. (doi:10.1098/rstb.2006.1998)
7. Whiten A, Rutz C. 2025 The growing methodological toolkit for identifying and studying social learning and culture in non-human animals. Phil. Trans. R. Soc. B 380, 20240140.
(doi:10.1098/rstb.2024.0140)
8. Brakes P etal. 2019 Animal cultures matter for conservation. Science 363, 1032–1034. (doi:10.1126/science.aaw3557)
9. Brakes P etal. 2021 A deepening understanding of animal culture suggests lessons for conservation. Proc. R. Soc. B 288, 20202718. (doi:10.1098/rspb.2020.2718)
10. Greggor AL, Thornton A, Clayton NS. 2017 Harnessing learning biases is essential for applying social learning in conservation. Behav. Ecol. Sociobiol. 71, 16. (doi:10.1007/s00265-
016-2238-4)
11. Greggor AL, Masuda B, Gaudioso-Levita JM, Nelson JT, White TH, Shier DM, Farabaugh SM, Swaisgood RR. 2021 Pre-release training, predator interactions and evidence for
persistence of anti-predator behavior in reintroduced `alalā, Hawaiian crow. Glob. Ecol. Conserv. 28, e01658. (doi:10.1016/j.gecco.2021.e01658)
12. Kierulff MCM, Ruiz‐Miranda CR, de Oliveira PP, Beck BB, Martins A, Dietz JM, Rambaldi DM, Baker AJ. 2012 The golden lion tamarin Leontopithecus rosalia: a conservation success
story. Int. Zoo Yearb. 46, 36–45. (doi:10.1111/j.1748-1090.2012.00170.x)
13. Thornton A, Malapert A. 2009 Experimental evidence for social transmission of food acquisition techniques in wild meerkats. Anim. Behav. 78, 255–264. (doi:10.1016/j.anbehav.
2009.04.021)
9
royalsocietypublishing.org/journal/rstb Phil. Trans. R. Soc. B 380: 20240132
14. Wild S, Krützen M, Rankin RW, Hoppitt WJE, Gerber L, Allen SJ. 2019 Long-term decline in survival and reproduction of dolphins following a marine heatwave. Curr. Biol. 29, R239–
R240. (doi:10.1016/j.cub.2019.02.047)
15. Foote AD etal. 2016 Genome-culture coevolution promotes rapid divergence of killer whale ecotypes. Nat. Commun. 7, 11693. (doi:10.1038/ncomms11693)
16. Jesmer BR etal. 2018 Is ungulate migration culturally transmitted? Evidence of social learning from translocated animals. Science 361, 1023–1025. (doi:10.1126/science.aat0985)
17. Mueller T, O’Hara RB, Converse SJ, Urbanek RP, Fagan WF. 2013 Social learning of migratory performance. Science 341, 999–1002. (doi:10.1126/science.1237139)
18. Rogers LA, Salomon AK, Connors B, Krkošek M. 2018 Collapse, tipping points, and spatial demographic structure arising from the adopted migrant life history. Am. Nat. 192, 49–
61. (doi:10.1086/697488)
19. Meaux E, Brown C, Mesnick S, O’Connell-Rodwell C, Mumby H. 2025 Worlds that collide: conservation applications of behaviour and culture in human–wildlife interactions. Phil.
Trans. R. Soc. B 380, 20240137. (doi:10.1098/rstb.2024.0137)
20. Greggor AL, Goldenberg SZ. 2023 Manipulating animal social interactions to enhance translocation impact. Trends Ecol. Evol. 38, 316–319. (doi:10.1016/j.tree.2023.01.011)
21. Williams R, Lusseau D. 2006 A killer whale social network is vulnerable to targeted removals. Biol. Lett. 2, 497–500. (doi:10.1098/rsbl.2006.0510)
22. Chase MJ etal. 2016 Continent-wide survey reveals massive decline in African savannah elephants. PeerJ 4, e2354. (doi:10.7717/peerj.2354)
23. Edwards CTT, Gobush KS, Maisels F, Balfour D, Taylor R, Wittemyer G. 2024 Survey-based inference of continental African elephant decline. Proc. Natl Acad. Sci. USA 121,
e2403816121. (doi:10.1073/pnas.2403816121)
24. Williams C, Tiwari SK, Goswami VR, Silva S, Kumar A, Baskaran N. 2020 Elephas maximus. In IUCN red list of threatened species. (doi:10.2305/IUCN.UK.2020-3.RLTS.
T7140A45818198.en)
25. Gobush KS, Edwards CTT, Balfour D, Wittemyer G, Maisels F, Taylor RD. 2022 Loxodonta (amended version of 2021 assessment). In IUCN red list of threatened species. (doi:10.2305/
IUCN.UK.2022-2.RLTS.T181008073A223031019.en)
26. Gobush KS, Edwards CTT, Maisels F, Wittemyer G, Balfour D, Taylor RD. 2021 Loxodonta cyclotis (errata version published in 2021). In IUCN red list of threatened species. (doi:10.
2305/IUCN.UK.2021-1.RLTS.T181007989A204404464.en)
27. Gopla A, Hadian O, Sitompul A, Williams A, Leimgruber P et al. 2011 Elephas maximus ssp. sumatranus. In IUCN red list of threatened species. (doi:10.2305/IUCN.UK.2011-2.RLTS.
T199856A9129626.en)
28. McLean EA, Goossens B, Cheah C, Ancrenaz M, Othman NB, Sukmantoro W etal. 2024 Elephas maximus ssp. borneensis. In IUCN red list of threatened species. (doi:10.2305/IUCN.UK.
2024-1.RLTS.T237597413A237597422.en)
29. Courchamp F, Jaric I, Albert C, Meinard Y, Ripple WJ, Chapron G. 2018 The paradoxical extinction of the most charismatic animals. PLoS Biol. 16, e2003997. (doi:10.1371/journal.
pbio.2003997)
30. Ishida Y, Gugala NA, Georgiadis NJ, Roca AL. 2018 Evolutionary and demographic processes shaping geographic patterns of genetic diversity in a keystone species, the African forest
elephant (Loxodonta cyclotis). Ecol. Evol. 8, 4919–4931. (doi:10.1002/ece3.4062)
31. Wall J etal. 2021 Human footprint and protected areas shape elephant range across Africa. Curr. Biol. 31, 2437–2445.(doi:10.1016/j.cub.2021.03.042)
32. de Silva S, Wittemyer G. 2012 A comparison of social organization in Asian elephants and African savannah elephants. Int. J. Primatol. 33, 1125–1141. (doi:10.1007/s10764-011-
9564-1)
33. Nandini S, Keerthipriya P, Vidya TNC. 2018 Group size differences may mask underlying similarities in social structure: a comparison of female elephant societies. Behav. Ecol. 29,
145–159. (doi:10.1093/beheco/arx135)
34. Bowell R, Warren A, Redmond I. 1996 Formation of cave salts and utilization by elephants in the Mount Elgon region, Kenya. Geol. Soc. Spec. Publ. 113, 63–79. (doi:10.1144/GSL.SP.
1996.113.01.06)
35. Leggett K. 2004 Coprophagy and unusual thermoregulatory behaviour in desert-dwelling elephants of north-western Namibia. Pachyderm 36, 113–115. (doi:10.69649/
pachyderm.v36i1.1187)
36. Fishlock V, Lee PC. 2013 Forest elephants: fission–fusion and social arenas. Anim. Behav. 85, 357–363. (doi:10.1016/j.anbehav.2012.11.004)
37. Goldenberg SZ, Turkalo AK, Wrege PH, Hedwig D, Wittemyer G. 2021 Entry and aggregation at a Central African bai reveal social patterns in the elusive forest elephant Loxodonta
cyclotis. Anim. Behav. 171, 77–85. (doi:10.1016/j.anbehav.2020.11.008)
38. Moss CJ, Lee PC. 2011 Female social dynamics: fidelity and flexibility. In The Amboseli elephants: a long-term perspective on a long-lived mammal (eds CJ Moss, H Croze, PC Lee), pp.
205–223. Chicago, IL: Chicago University Press.
39. Wittemyer G, Douglas-Hamilton I, Getz WM. 2005 The socioecology of elephants: analysis of the processes creating multitiered social structures. Anim. Behav. 69, 1357–1371. (doi:
10.1016/j.anbehav.2004.08.018)
40. Lahdenperä M, Mar KU, Lummaa V. 2016 Short-term and delayed effects of mother death on calf mortality in Asian elephants. Behav. Ecol. 27, 166–174. (doi:10.1093/beheco/
arv136)
41. Lee PC, Fishlock V, Webber CE, Moss CJ. 2016 The reproductive advantages of a long life: longevity and senescence in wild female African elephants. Behav. Ecol. Sociobiol. 70, 337–
345. (doi:10.1007/s00265-015-2051-5)
42. Lee PC, Moss CJ. 1986 Early maternal investment in male and female African elephant calves. Behav. Ecol. Sociobiol. 18, 353–361. (doi:10.1007/bf00299666)
43. Lee PC. 1987 Allomothering among African elephants. Anim. Behav. 35, 278–291. (doi:10.1016/s0003-3472(87)80234-8)
44. Schuppli C, van Schaik CP. 2019 Animal cultures: how we’ve only seen the tip of the iceberg. Evol. Hum. Sci. 1, e2. (doi:10.1017/ehs.2019.1)
45. Archie EA, Moss CJ , Alberts SC. 2006 The ties that bind: genetic relatedness predicts the fission and fusion of social groups in wild African elephants. Proc. R. Soc. B 273, 513–522.
(doi:10.1098/rspb.2005.3361)
46. Brand CM etal. 2020 Abundance, density, and social structure of African forest elephants (Loxodonta cyclotis) in a human-modified landscape in southwestern Gabon. PLoS One 15,
e0231832. (doi:10.1371/journal.pone.0231832)
47. Turkalo AK, Wrege PH, Wittemyer G. 2018 Demography of a forest elephant population. PLoS One 13, e0192777. (doi:10.1371/journal.pone.0192777)
48. Chiyo PI, Archie EA, Hollister-Smith JA, Lee PC, Poole JH, Moss CJ, Alberts SC. 2011 Association patterns of African elephants in all-male groups: the role of age and genetic
relatedness. Anim. Behav. 81, 1093–1099. (doi:10.1016/j.anbehav.2011.02.013)
49. Evans KE, Harris S. 2008 Adolescence in male African elephants, Loxodonta africana, and the importance of sociality. Anim. Behav. 76, 779–787. (doi:10.1016/j.anbehav.2008.03.
019)
50. Srinivasaiah N, Kumar V, Vaidyanathan S, Sukumar R, Sinha A. 2019 All-male groups in Asian elephants: a novel, adaptive social strategy in increasingly anthropogenic landscapes
of southern India. Scient. Rep. 9, 8678. (doi:10.1038/s41598-019-45130-1)
10
royalsocietypublishing.org/journal/rstb Phil. Trans. R. Soc. B 380: 20240132
51. O’Connell-Rodwell CE, Wood JD, Kinzley C , Rodwell TC, Alarcon C, Wasser SK, Sapolsky R . 2011 Male African elephants (Loxodonta africana) queue when the stakes are high. Ethol.
Ecol. Evol. 23, 388–397. (doi:10.1080/03949370.2011.598569)
52. Poole JH. 1989 Announcing intent: the aggressive state of musth in African elephants. Anim. Behav. 37, 140–152. (doi:10.1016/0003-3472(89)90014-6)
53. Poole JH, Moss CJ. 1981 Musth in the African elephant, Loxodonta africana. Nature 292, 830–831. (doi:10.1038/292830a0)
54. Poole JH. 1987 Rutting behavior in African elephants: the phenomenon of musth. Behaviour 102, 283–316. (doi:10.1163/156853986x00171)
55. Poole JH. 1989 Mate guarding, reproductive success and female choice in African elephants. Anim. Behav. 37, 842–849. (doi:10.1016/0003-3472(89)90068-7)
56. Taylor LA, Vollrath F, Lambert B, Lunn D, Douglas‐Hamilton I, Wittemyer G. 2020 Movement reveals reproductive tactics in male elephants. J. Anim. Ecol. 89, 57–67. (doi:10.1111/
1365-2656.13035)
57. Goldenberg SZ, de Silva S, Rasmussen HB, Douglas-Hamilton I, Wittemyer G. 2014 Controlling for behavioural state reveals social dynamics among male African elephants,
Loxodonta africana. Anim. Behav. 95, 111–119. (doi:10.1016/j.anbehav.2014.07.002)
58. Murphy D, Mumby HS, Henley MD. 2019 Age differences in the temporal stability of a male African elephant (Loxodonta africana) social network. Behav. Ecol. 31, 21–31. (doi:10.
1093/beheco/arz152)
59. Chiyo PI, Moss CJ , Alberts SC. 2012 The influence of life history milestones and association networks on crop-raiding behavior in male African elephants. PLoS One 7, e31382. (doi:
10.1371/journal.pone.0031382)
60. Jacobson SL, Plotnik JM. 2020 The importance of sensory perception in an elephant’s cognitive world. Comp. Cogn. Behav. Rev. 15, 131–148. (doi:10.3819/ccbr.2020.150006)
61. Poole JH, Granli P. 2011 Signals, gestures and behavior of African elephants. In The Amboseli elephants: a long-term perspective on a long-lived mammal (eds C Moss, H Croze, PC
Lee), pp. 109–124. Chicago, IL: Chicago University Press. (doi:10.7208/chicago/9780226542263.003.0008)
62. Rasmussen LEL, Krishnamurthy V. 2000 How chemical signals integrate Asian elephant society: the known and the unknown. Zoo Biol. 19, 405–423. (doi:10.1002/1098-
2361(2000)19:53.0.co;2-j)
63. Bates LA, Sayialel KN, Njiraini NW, Poole JH, Moss C J, Byrne RW. 2008 African elephants have expectations about the locations of out-of-sight family members. Biol. Lett. 4, 34–36.
(doi:10.1098/rsbl.2007.0529)
64. McComb K, Moss C, Sayialel S, Baker L. 2000 Unusually extensive networks of vocal recognition in African elephants. Anim. Behav. 59, 1103–1109. (doi:10.1006/anbe.2000.1406)
65. Schulte BA, LaDue CA. 2021 The chemical ecology of elephants: 21st century additions to our understanding and future outlooks. Animals 11, 2860. (doi:10.3390/ani11102860)
66. Eleuteri V, Bates L, Rendle-Worthington J, Hobaiter C, Stoeger A. 2024 Multimodal communication and audience directedness in the greeting behaviour of semi-captive African
savannah elephants. Commun. Biol. 7, 472. (doi:10.1038/s42003-024-06133-5)
67. Pardo MA, Fristrup K, Lolchuragi DS, Poole JH, Granli P, Moss C, Douglas-Hamilton I, Wittemyer G. 2024 African elephants address one another with individually specific name-like
calls. Nat. Ecol. Evol. 8, 1353–1364. (doi:10.1038/s41559-024-02420-w)
68. Bates L, Lee P, Njiraini N, Poole J, Sayialel K, Sayialel S. 2008 Do elephants show empathy? J. Conscious. Stud. 15, 204–225.
69. Plotnik JM, Lair R, Suphachoksahakun W, de Waal FBM. 2011 Elephants know when they need a helping trunk in a cooperative task. Proc. Natl Acad. Sci. USA 108, 5116–5121. (doi:
10.1073/pnas.1101765108)
70. Plotnik JM, de Waal FBM. 2014 Asian elephants (Elephas maximus) reassure others in distress. PeerJ 2, e278. (doi:10.7717/peerj.278)
71. Goldenberg SZ, Wittemyer G. 2020 Elephant behavior toward the dead: a review and insights from field observations. Primates 61, 119–128. (doi:10.1007/s10329-019-00766-5)
72. Douglas-Hamilton I, Bhalla S, Wittemyer G, Vollrath F. 2006 Behavioural reactions of elephants towards a dying and deceased matriarch. Appl. Anim. Behav. Sci. 100, 87–102. (doi:
10.1016/j.applanim.2006.04.014)
73. Pokharel SS, Sharma N, Sukumar R. 2022 Viewing the rare through public lenses: insights into dead calf carrying and other thanatological responses in Asian elephants using
YouTube videos. R. Soc. Open Sci. 9, 211740. (doi:10.1098/rsos.211740)
74. Sharma N, Pokharel SS, Kohshima S, Sukumar R. 2020 Behavioural responses of free-ranging Asian elephants (Elephas maximus) towards dying and dead conspecifics. Primates 61,
129–138. (doi:10.1007/s10329-019-00739-8)
75. Hawley C, Beirne C, Meier A, Poulsen J. 2018 Conspecific investigation of a deceased forest elephant (Loxodonta cyclotis). Pachyderm 59, 97–100. (doi:10.69649/pachyderm.v59i.
87)
76. Stephan C, Bahamboula JJD, Brncic TM. 2020 Responses to a poached conspecific in wild forest elephants (Loxodonta africana cyclotis). Behaviour 157, 823–833. (doi:10.1163/
1568539X-bja10025)
77. Plotnik JM, de Waal FBM, Reiss D. 2006 Self-recognition in an Asian elephant. Proc. Natl Acad. Sci. USA 103, 17053–17057. (doi:10.1073/pnas.0608062103)
78. Tomasello M, Kruger AC, Ratner HH. 1993 Cultural learning. Behav. Brain Sci. 16, 495–511. (doi:10.1017/s0140525x0003123x)
79. Whiten A. 2022 Blind alleys and fruitful pathways in the comparative study of cultural cognition. Phys. Life Rev. 43, 211–238. (doi:10.1016/j.plrev.2022.10.003)
80. Greco BJ, Brown TK, Andrews JRM, Swaisgood RR, Caine NG. 2013 Social learning in captive African elephants (Loxodonta africana africana). Anim. Cogn. 16, 459–469. (doi:10.
1007/s10071-012-0586-7)
81. Barrett LP, Benson-Amram S. 2020 Can Asian elephants use water as a tool in the floating object task? Anim. Behav. Cogn. 7, 310–326. (doi:10.26451/abc.07.03.04.2020)
82. Li LL, Plotnik JM, Xia SW, Meaux E, Quan RC. 2021 Cooperating elephants mitigate competition until the stakes get too high. PLoS Biol. 19, e3001391. (doi:10.1371/journal.pbio.
3001391)
83. Poole JH, Tyack PL, Stoeger-Horwath AS, Watwood S. 2005 Elephants are capable of vocal learning. Nature 434, 455–456. (doi:10.1038/434455a)
84. Stoeger AS, Mietchen D, Oh S, de Silva S, Herbst CT, Kwon S, Fitch WT. 2012 An Asian elephant imitates human speech. Curr. Biol. 22, 2144–2148. (doi:10.1016/j.cub.2012.09.022)
85. Bates LA, Handford R, Lee PC, Njiraini N, Poole JH, Sayialel K, Sayialel S, Moss CJ, Byrne RW. 2010 Why do African elephants (Loxodonta africana) simulate oestrus? An analysis of
longitudinal data. PLoS One 5, e10052. (doi:10.1371/journal.pone.0010052)
86. Bates LA, Sayialel KN, Njiraini NW, Moss CJ, Poole JH, Byrne RW. 2007 Elephants classify human ethnic groups by odor and garment color. Curr. Biol. 17, 1938–1942. (doi:10.1016/j.
cub.2007.09.060)
87. Goldenberg SZ, Douglas-Hamilton I, Wittemyer G. 2016 Vertical transmission of social roles drives resilience to poaching in elephant networks. Curr. Biol . 26, 75–79. (doi:10.1016/j.
cub.2015.11.005)
88. Fishlock V, Caldwell C, Lee PC. 2016 Elephant resource-use traditions. Anim. Cogn. 19, 429–433. (doi:10.1007/s10071-015-0921-x)
89. Pardo MA, Poole JH, Stoeger AS, Wrege PH, O’Connell-Rodwell CE, Padmalal UK, de Silva S. 2019 Differences in combinatorial calls among the 3 elephant species cannot be
explained by phylogeny. Behav. Ecol. 30, 809–820. (doi:10.1093/beheco/arz018)
90. Pardo MA, Lolchuragi DS, Poole J, Granli P, Moss C, Douglas-Hamilton I, Wittemyer G. 2024 Female African elephant rumbles differ between populations and sympatric social
groups. R. Soc. Open Sci. 11, 241264. (doi:10.1098/rsos.241264)
11
royalsocietypublishing.org/journal/rstb Phil. Trans. R. Soc. B 380: 20240132
91. Fedurek P, McFarland R, Majolo B, Lehmann J. 2022 Social responses to the natural loss of individuals in Barbary macaques. Mamm. Biol. 102, 1249–1266. (doi:10.1007/s42991-
022-00283-x)
92. Peebles KA, Wielgus RB, Maletzke BT, Swanson ME. 2013 Effects of remedial sport hunting on cougar complaints and livestock depredations. PLoS One 8, e79713. (doi:10.1371/
journal.pone.0079713)
93. Godfrey SS, Sih A, Bull CM. 2013 The response of a sleepy lizard social network to altered ecological conditions. Anim. Behav. 86, 763–772. (doi:10.1016/j.anbehav.2013.07.016)
94. Farine DR. 2021 Structural trade‐offs can predict rewiring in shrinking social networks. J. Anim. Ecol. 90, 120–130. (doi:10.1111/1365-2656.13140)
95. Dudley JP, Gibson D, Haynes G, Klimowicz J. 2001 Drought mortality of bush elephants in Hwange National Park, Zimbabwe. Afr. J. Ecol 39, 187–194. (doi:10.1046/j.0141-6707.
2000.00297.x)
96. Foley C, Pettorelli N, Foley L. 2008 Severe drought and calf survival in elephants. Biol. Lett. 4, 541–544. (doi:10.1098/rsbl.2008.0370)
97. Zungu M, Slotow R. 2022 Systematic review of the success and unintended consequences of management interventions on African elephants. Pachyderm 63, 99–139. (doi:10.
69649/pachyderm.v63i.499)
98. Van de Water A, Garaï M, Burnett M, Henley M, Di Minin E, Streicher J, Bates L, Slotow R. 2024 Integrating a ‘one well-being’ approach in elephant conservation: evaluating
consequences of management interventions. Ecol. Soc. 29. (doi:10.5751/ES-15193-290315)
99. Joshi R, Puri K . 2019 Train–elephant collisions in a biodiversity-rich landscape: a case study from Rajaji National Park, North India. Hum. Wildl. Interact 13, 7. (doi:10.26077/88bc-
qm70)
100. Tawfik GM, Dila KAS, Mohamed MYF, Tam DNH, Kien ND, Ahmed AM, Huy NT. 2019 A step by step guide for conducting a systematic review and meta-analysis with simulation
data. Trop. Med. Health 47, 46. (doi:10.1186/s41182-019-0165-6)
101. Calderon Martinez E, Flores Valdés JR, Castillo JL, Castillo JV, Blanco Montecino RM, Morin Jimenez JE, Arriaga Escamilla D, Diarte E. 2023 Ten steps to conduct a systematic review.
Cureus 15, e51422. (doi:10.7759/cureus.51422)
102. Aleper D, Moe SR. 2006 The African savannah elephant population in Kidepo Valley National Park, Uganda: changes in size and structure from 1967 to 2000. Afr. J. Ecol. 44, 157–
164. (doi:10.1111/j.1365-2028.2006.00599.x)
103. de Silva S, Webber CE, Weerathunga US, Pushpakumara TV, Weerakoon DK, Wittemyer G. 2013 Demographic variables for wild Asian elephants using longitudinal observations.
PLoS One 8, e82788. (doi:10.1371/journal.pone.0082788)
104. Gobush K, Kerr B, Wasser S. 2009 Genetic relatedness and disrupted social structure in a poached population of African elephants. Mol. Ecol. 18, 722–734. (doi:10.1111/j.1365-
294x.2008.04043.x)
105. Gobush KS, Wasser SK. 2009 Behavioural correlates of low relatedness in African elephant core groups of a poached population. Anim. Behav. 78, 1079–1086. (doi:10.1016/j.
anbehav.2009.06.034)
106. Ishengoma DRS, Shedlock AM, Foley CAH, Foley LJ, Wasser SK, Balthazary ST, Mutayoba BM. 2008 Effects of poaching on bull mating success in a free ranging African elephant
(Loxodonta africana) population in Tarangire National Park, Tanzania. Conserv. Genet. 9, 247–255. (doi:10.1007/s10592-007-9332-0)
107. Jones T, Cusack JJ, Pozo RA, Smit J, Mkuburo L, Baran P, Lobora AL , Mduma S, Foley C. 2018 Age structure as an indicator of poaching pressure: insights from rapid assessments of
elephant populations across space and time. Ecol. Indic. 88, 115–125. (doi:10.1016/j.ecolind.2018.01.030)
108. Keerthipriya P, Nandini S, Gautam H, Revathe T, Vidya TNC. 2020 Musth and its effects on male–male and male–female associations in Asian elephants. J. Mammal. 101, 259–
270. (doi:10.1093/jmammal/gyz190)
109. Mkuburo L, Nahonyo C, Smit J, Jones T, Kohi E. 2020 Investigation of the effect of poaching on African elephant (Loxodonta africana) group size and composition in Ruaha National
Park, Tanzania. Sci. Afr. 9, e00490. (doi:10.1016/j.sciaf.2020.e00490)
110. Nyakaana S, Abe EL, Arctander P , Siegismund HR. 2001 DNA evidence for elephant social behaviour breakdown in Queen Elizabeth National Park, Uganda. Anim. Conserv. 4, 231–
237. (doi:10.1017/s1367943001001275)
111. Wittemyer G, Daballen D, Douglas‐Hamilton I. 2021 Differential influence of human impacts on age‐specific demography underpins trends in an African elephant population.
Ecosphere 12, e03720. (doi:10.1002/ecs2.3720)
112. Wittemyer G, Okello JBA, Rasmussen HB, Arctander P, Nyakaana S, Douglas-Hamilton I, Siegismund HR. 2009 Where sociality and relatedness diverge: the genetic basis for
hierarchical social organization in African elephants. Proc. R. Soc. B 276, 3513–3521. (doi:10.1098/rspb.2009.0941)
113. Lee PC, Moss CJ, Njiraini N, Poole JH, Sayialel K, Fishlock VL. 2022 Cohort consequences of drought and family disruption for male and female African elephants. Behav. Ecol. 33,
408–418. (doi:10.1093/beheco/arab148)
114. McKnight BL. 2015 Relationship between group dynamics and spatial distribution of African elephants in a semi-arid environment. Afr. J. Ecol. 53, 439–446. (doi:10.1111/aje.
12223)
115. Garaï ME, Boult VL, Zitzer HR. 2023 Identifying the effects of social disruption through translocation on African elephants (Loxodonta africana), with specifics on the social and
ecological impacts of orphaning. Animals 13, 483. (doi:10.3390/ani13030483)
116. Parker JM etal. 2021 Poaching of African elephants indirectly decreases population growth through lowered orphan survival. Curr. Biol. 31, 4156–4162.(doi:10.1016/j.cub.2021.06.
091)
117. Shannon G, Slotow R, Durant SM, Sayialel KN, Poole J, Moss C, McComb K. 2013 Effects of social disruption in elephants persist decades after culling. Front. Zool. 10, 62. (doi:10.
1186/1742-9994-10-62)
118. Goldenberg SZ, Wittemyer G. 2018 Orphaning and natal group dispersal are associated with social costs in female elephants. Anim. Behav. 143, 1–8. (doi:10.1016/j.anbehav.2018.
07.002)
119. Fernando P, Leimgruber P, Prasad T, Pastorini J. 2012 Problem-elephant translocation: translocating the problem and the elephant? PLoS One 7, e50917. (doi:10.1371/journal.
pone.0050917)
120. Pinter-Wollman N, Isbell LA, Hart LA. 2009 Assessing translocation outcome: comparing behavioral and physiological aspects of translocated and resident African elephants
(Loxodonta africana). Biol. Conserv. 142, 1116–1124. (doi:10.1016/j.biocon.2009.01.027)
121. Tiller LN, King LE, Okita‐Ouma B, Lala F, Pope F, Douglas‐Hamilton I, Thouless CR. 2022 The behaviour and fate of translocated bull African savanna elephants (Loxodonta africana)
into a novel environment. Afr. J. Ecol. 60, 866–881. (doi:10.1111/aje.13038)
122. Goldenberg SZ, Owen MA, Brown JL, Wittemyer G, Oo ZM, Leimgruber P. 2019 Increasing conservation translocation success by building social functionality in released populations.
Glob. Ecol. Conserv. 18, e00604. (doi:10.1016/j.gecco.2019.e00604)
123. Wittemyer G, Daballen D, Douglas-Hamilton I. 2013 Comparative demography of an at-risk African elephant population. PLoS One 8, e53726. (doi:10.1371/journal.pone.0053726)
12
royalsocietypublishing.org/journal/rstb Phil. Trans. R. Soc. B 380: 20240132
124. Foley CAH, Faust LJ. 2010 Rapid population growth in an elephant Loxodonta africana population recovering from poaching in Tarangire National Park, Tanzania. Oryx 44, 205–212.
(doi:10.1017/s0030605309990706)
125. Pretorius Y, Garaï ME, Bates LA. 2019 The status of African elephant Loxodonta africana populations in South Africa. Oryx 53, 757–763. (doi:10.1017/s0030605317001454)
126. Kuiper TR, Druce DJ, Druce HC. 2018 Demography and social dynamics of an African elephant population 35 years after reintroduction as juveniles. J. Appl. Ecol. 55, 2898–2907.
(doi:10.1111/1365-2664.13199)
127. Slotow R, Garaï M, Reilly B, Page B, Carr R. 2005 Population dynamics of elephants re-introduced to small fenced reserves in South Africa. South Afr. J. Wildl. Res 35, 23–32.
128. Garaï M, Slotow R, Carr R, Reilly B. 2004 Elephant reintroductions to small fenced reserves in South Africa. Pachyderm 37, 28–36. (doi:10.69649/pachyderm.v37i1.1199)
129. Goldenberg SZ, Wittemyer G. 2017 Orphaned female elephant social bonds reflect lack of access to mature adults. Scient. Rep. 7, 14408. (doi:10.1038/s41598-017-14712-2)
130. Kioko J, Zink E, Sawdy M, Kiffner C. 2013 Elephant (Loxodonta africana) demography and behaviour in the Tarangire-Manyara ecosystem, Tanzania. S. Afr. J. Wildl. Res 43, 44–51.
(doi:10.3957/056.043.0109)
131. Morrison RE, Eckardt W, Colchero F, Vecellio V, Stoinski TS. 2021 Social groups buffer maternal loss in mountain gorillas. eLife 10, e62939. (doi:10.7554/elife.62939)
132. van Aarde R, Whyte I, Pimm S. 1999 Culling and the dynamics of the Kruger National Park African elephant population. Anim. Conserv. 2, 287–294. (doi:10.1111/j.1469-1795.1999.
tb00075.x)
133. Lahdenperä M, Mar KU, Lummaa V. 2016 Nearby grandmother enhances calf survival and reproduction in Asian elephants. Scient. Rep. 6, 27213. (doi:10.1038/srep27213)
134. Kopf RK, Banks S, Brent LJN, Humphries P, Jolly CJ, Lee PC, Luiz OJ, Nimmo D, Winemiller KO. 2025 Loss of Earth’s old, wise, and large animals. Science 387, eado2705. (doi:10.1126/
science.ado2705)
135. McComb K, Moss C, Durant SM, Baker L, Sayialel S. 2001 Matriarchs as repositories of social knowledge in African elephants. Science 292, 491–494. (doi:10.1126/science.1057895)
136. McComb K, Shannon G, Durant SM, Sayialel K, Slotow R, Poole J, Moss C. 2011 Leadership in elephants: the adaptive value of age. Proc. R. Soc. B 278, 3270–3276. (doi:10.1098/
rspb.2011.0168)
137. Shannon G, Cordes LS, Slotow R, Moss C, McComb K. 2022 Social disruption impairs predatory threat assessment in African elephants. Animals 12, 495. (doi:10.3390/ani12040495)
138. Gill BA, Wittemyer G, Cerling TE, Musili PM , Kartzinel TR. 2023 Foraging history of individual elephants using DNA metabarcoding. R. Soc. Open Sci. 10, 230337. (doi:10.1098/rsos.
230337)
139. Joubert D. 2006 Hunting behaviour of lions (Panthera leo) on elephants (Loxodonta africana) in the Chobe National Park, Botswana. Afr. J. Ecol. 44, 279–281. (doi:10.1111/j.1365-
2028.2006.00626.x)
140. Power RJ, Shem Compion RX. 2009 Lion predation on elephants in the Savuti, Chobe National Park, Botswana. Afr. Zool. 44, 36–44. (doi:10.3377/004.044.0104)
141. Brosnan SF, Hopper LM. 2014 Psychological limits on animal innovation. Anim. Behav. 92, 325–332. (doi:10.1016/j.anbehav.2014.02.026)
142. McKnight BL. 1995 Behavioural ecology of ‘hand‐reared’ African elephants (Loxodonta africana (Blumenbach)) in Tsavo East National Park, Kenya. Afr. J. Ecol. 33, 242–256. (doi:10.
1111/j.1365-2028.1995.tb00802.x)
143. Parker JM, Brown JL, Hobbs NT, Boisseau NP, Letitiya D, Douglas-Hamilton I, Wittemyer G. 2022 Social support correlates with glucocorticoid concentrations in wild African
elephant orphans. Commun. Biol. 5, 630. (doi:10.1038/s42003-022-03574-8)
144. Parker JM, Wittemyer G. 2022 Orphaning stunts growth in wild African elephants. Conserv. Physiol. 10, coac053. (doi:10.1093/conphys/coac053)
145. Shannon G, Page BR, Duffy KJ, Slotow R. 2006 The role of foraging behaviour in the sexual segregation of the African elephant. Oecologia 150, 344–354. (doi:10.1007/s00442-006-
0521-1)
146. Slotow R, van Dyk G, Poole J, Page B, Klocke A. 2000 Older bull elephants control young males. Nature 408, 425–426. (doi:10.1038/35044191)
147. Bradshaw GA, Schore AN, Brown JL, Poole JH, Moss CJ. 2005 Elephant breakdown. Nature 433, 807–807. (doi:10.1038/433807a)
148. Tung J, Archie EA, Altmann J, Alberts SC. 2016 Cumulative early life adversity predicts longevity in wild baboons. Nat. Commun. 7, 11181. (doi:10.1038/ncomms11181)
149. Dettmer AM, Chusyd DE. 2023 Early life adversities and lifelong health outcomes: A review of the literature on large, social, long-lived nonhuman mammals. Neurosci. Biobehav.
Rev. 152, 105297. (doi:10.1016/j.neubiorev.2023.105297)
150. Tiller L, King L, Lala F, Pope F, Thouless C, Wall J, Douglas-Hamilton I. 2022 Outcome of an elephant translocation from Isiolo to Tsavo East National Park, Kenya. Pachyderm 63, 91–
98. (doi:10.69649/pachyderm.v63i.502)
151. Viljoen JJ, Ganswindt A, Reynecke C, Stoeger AS, Langbauer WR. 2015 Vocal stress associated with a translocation of a family herd of African elephants (Loxodonta africana) in the
Kruger National Park, South Africa. Bioacoustics 24, 1–12. (doi:10.1080/09524622.2014.906320)
152. Jachowski DS, Slotow R, Millspaugh JJ. 2012 Physiological stress and refuge behavior by African elephants. PLoS One 7, e31818. (doi:10.1371/journal.pone.0031818)
153. Wittemyer G, Daballen D, Rasmussen H, Kahindi O, Douglas‐Hamilton I. 2005 Demographic status of elephants in the Samburu and Buffalo Springs national reserves, Kenya. Afr. J.
Ecol. 43, 44–47. (doi:10.1111/j.1365-2028.2004.00543.x)
154. Moss CJ, Croze H, Lee PC. 2011 The Amboseli elephants: a long-term perspective on a long-lived mammal. Chicago, IL: University of Chicago Press.
155. Srinivasaiah NM, Anand VD, Vaidyanathan S, Sinha A. 2012 Usual populations, unusual individuals: insights into the behavior and management of Asian elephants in fragmented
landscapes. PLoS One 7, e42571. (doi:10.1371/journal.pone.0042571)
156. Enukwa E. 2017 Human-elephant conflict mitigation methods: a review of effectiveness and sustainability. J. Wildl. Biodivers. 1, 69–78. (doi:10.22120/jwb.2017.28260)
157. Köpke S etal. 2021 Human–elephant conflict in Sri Lanka: a critical review of causal explanations. Sustainability 13, 8625. (doi:10.3390/su13158625)
158. Mumby HS, Plotnik JM. 2018 Taking the elephants’ perspective: remembering elephant behavior, cognition and ecology in human-elephant conflict mitigation. Front. Ecol. Evol. 6,
122. (doi:10.3389/fevo.2018.00122)
159. Hope SF, Willgohs KR, Dittakul S , Plotnik JM. 2025 Do elephants really never forget? What we know about elephant memory and a call for further investigation. Learn. Behav. 53,
44–64. (doi:10.3758/s13420-024-00655-y)
160. Druce HC, Pretorius K, Slotow R. 2008 The response of an elephant population to conservation area expansion: Phinda Private Game Reserve, South Africa. Biol. Conserv. 141, 3127–
3138. (doi:10.1016/j.biocon.2008.09.024)
161. Goldenberg SZ, Douglas-Hamilton I, Wittemyer G. 2018 Inter-generational change in African elephant range use is associated with poaching risk, primary productivity and adult
mortality. Proc. R. Soc. B 285, 20180286. (doi:10.1098/rspb.2018.0286)
162. Boult V, Fishlock V, Quaife T, Hawkins E, Moss C, Lee P. 2019 Human‐driven habitat conversion is a more immediate threat to Amboseli elephants than climate change. Conserv. Sci.
Pract. 1, e87. (doi:10.1111/csp2.87)
163. van de Water A, Henley M, Bates L, Slotow R. 2022 The value of elephants: a pluralist approach. Ecosyst. Serv. 58, 101488. (doi:10.1016/j.ecoser.2022.101488)
164. Plotnik JM, Jacobson SL. 2022 A ‘thinking animal’ in conflict: studying wild elephant cognition in the shadow of anthropogenic change. Curr. Opin. Behav. Sci. 46, 101148. (doi:10.
1016/j.cobeha.2022.101148)
13
royalsocietypublishing.org/journal/rstb Phil. Trans. R. Soc. B 380: 20240132
165. Evans LA, Adams --WM. 2016 Fencing elephants: the hidden politics of wildlife fencing in Laikipia, Kenya. Land Use Policy 51, 215–228. (doi:10.1016/j.landusepol.2015.11.008)
166. Bates L, Fishlock VL, Plotnik J, de Silva S, Shannon G. 2025 Supplementary material from: Knowledge transmission, culture and the consequences of social disruption in wild
elephants. Figshare. (doi:10.6084/m9.figshare.c.7774619)
14
royalsocietypublishing.org/journal/rstb Phil. Trans. R. Soc. B 380: 20240132
... Noting the existing bias in the literature towards the most studied species, the issue starts with a detailed selection of contributions spanning taxa from fish to ungulates, birds and reptiles, incorporating the latest insights into social learning and culture in vertebrate species [21][22][23][24][25][26][27][28]31]. Gaps in taxonomic knowledge are identified, potential for phylogenetic inference (the plausibility of social learning occurring in related species) discussed (e.g. in fish [22] and birds [21]), and future directions indicated, including the integration of local and Indigenous Knowledge (e.g. ...
... Advice is provided on utilizing key indicators of social learning in well-studied species to provide insights and predictions concerning the behaviour of less well-studied species. For example, with only indirect evidence of social learning in elephants-but where social transmission of ecological knowledge of resource locations, such as watering holes, is considered essential for populations to thrive-the effects of disruption of putative social transmission pathways on survival and reproduction is explored [24]. Finally, contributors consider how anthropogenic disturbance and removal of animals occupying key network positions can disrupt social networks [37] and examine the complexity generated by learning biases for predicting the spread of culturally transmitted behaviour across populations [29]. ...
... For example, socially Figure 1. A conceptual framework for incorporating evidence and inference on social learning and animal culture into conservation policy and practice (updated after [13], additions underlined, with relevant papers in the theme issue indicated). 1 Aplin et al. [21] and Brown & Webster [22]. 2 Aplin et al. [21], Arbon et al. [23], Bates et al. [24], Brown & Webster [22], Izar et al. [25], Jesmer et al. [26] and Wilkinson et al. [27]. 3 Wilkinson et al. [27]. ...
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Social learning and animal culture can influence conservation outcomes in significant ways. Culture is a dynamic phenomenon; socially learned behaviours can be transmitted within and/or between generations and among populations, which can facilitate resilience, or in other circumstances generate vulnerability. Culture can be a driver of evolutionary diversification, population structure and demography, shaping sociality and influencing underlying biological processes such as reproduction and survival, affecting fitness. This theme issue synthesizes the current state of knowledge on cultural variation within major vertebrate taxa, offering practical insights on how social learning can interface directly with conservation interventions. It ranges over topics that include translocations, human–wildlife interactions and adaptation to anthropogenic change. Culture is complex; integrating cultural processes into conservation is challenging. No one-size-fits-all policy can be recommended. Instead, we aim to balance current understanding of underlying processes with a diversity of practical implementations in this nascent field, exploring and supporting developing pathways towards conservation efficiencies. Key themes that emerge include conserving cultural capacity, benefits of data sharing, along with the intrinsic value of animal cultures and the role of Indigenous Peoples and local communities. This article is part of the theme issue ‘Animal culture: conservation in a changing world’.
... What does this mean for the management of fishes, birds or other mammalian populations? How might we better understand the underlying processes to identify the role of key individuals (see [6,14,24])? As our community develops pathways from the principle of conserving animal culture to understanding what this means in practice, we explore some of these endogenous processes, examine some of these questions and provide some first insights on thresholds and key factors that conservation scientists, policymakers and practitioners could consider when assessing the role of culture in conservation outcomes. ...
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Social transmission of cultural variants in wildlife can cause population level effects with implications for conservation science, policy and practice. Social learning and animal culture can generate resilience in populations through the spread of adaptive behaviour but may also generate vulnerabilities. Distilling comprehensive management advice in this field remains challenging. Animal culture is important for defining ‘units to conserve’, managing human–wildlife interactions, reintroductions or translocations, and influences evolutionary change. However, the population level effects of cultural processes remain poorly understood. Given the breadth of issues for which cultural processes inform conservation, it is timely to consider the underlying processes in more detail. We consider the coupling of cultural processes and population dynamics to explore the conditions under which social learning can tip a declining population into growth. Simulations on a model system of two interacting cultural units are used to explore the tensions between the coupled dynamics of cultural and demographic processes. We show that even under a simple learning bias, the population level outcomes are complex. In concert with urgent targeted conservation action, we highlight the need to develop deeper process-based understanding in this field, to yield fundamental principles applicable to a broader range of encultured species. This article is part of the theme issue ‘Animal culture: conservation in a changing world’.
... There can also be long time lags between cultural disturbances and their observable consequences, making it hard to detect issues. For instance, cultural groups of sperm whales (Physeter macrocephalus) have fitness advantages that emerge during El Niño weather cycles only every 3-5 years [35], and elephant (Loxodonta) group knowledge about water resources may only be relevant for fitness once every few decades [36]. Moreover, since social learning can be challenging to document and quantify empirically [3], these issues are likely to be under-reported in the peer-reviewed literature [37] and under-appreciated in wider translocation discourse. ...
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Conservation translocations are increasingly used in species’ recovery. Their success often depends upon maintaining or restoring survival-relevant behaviour, which is socially learned in many animals. A lack of species- or population-appropriate learning can lead to the loss of adaptive behaviour, increasing the likelihood of negative human interactions and compromising animals’ ability to migrate, exploit resources, avoid predators, integrate into wild populations, reproduce and survive. When applied well, behavioural tools can address deficiencies in socially learned behaviours and boost survival. However, their use has been uneven between species and translocation programmes, and behaviour commonly contributes to translocation failure. Critically, current international guidance (e.g. the International Union for Conservation of Nature’s translocation guidelines) does not directly discuss social learning or its facilitation. We argue that linking knowledge about social learning to appropriate translocation strategies will enhance guidance and direct future research. We offer a framework for incorporating animal social learning into translocation planning, implementation, monitoring and evaluation across wild and captive settings. Our recommendations consider barriers practitioners face in contending with logistics, time constraints and intervention cost. We emphasize that stronger links between researchers, translocation practitioners and wildlife agencies would increase support for social learning research, and improve the perceived relevance and feasibility of facilitating social learning. This article is part of the theme issue ‘Animal culture: conservation in a changing world’.
... Specifically, we focus primarily on 'other mammals' as defined by the UN Convention on the Conservation of Migratory Species [12], although we also draw on literature from a broader range of animals where relevant. Other specific mammalian taxa are discussed in detail elsewhere in this issue (primates: [13,14] cetaceans: [15][16][17], elephants: [18] ungulates: [19]). We first evaluate the conservation value of social learning throughout life, both for animals to learn about their world and for successful intervention by conservation practitioners. ...
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... The fundamental idea here is that knowledgeable individuals within a population are gradually lost over time and replaced by newly recruiting individuals. This is reminiscent of elephant societies where the matriarch is in possession of key survival information, such as the location of water holes during times of drought, and her daughters learn the information by accompanying her, then taking her place as knowledgeable matriarch once she dies [45,46]. This approach works surprisingly well in fish, possibly because they are under strong selective pressure to school; thus they are highly motivated to ensure that their behaviour aligns with their school mates (conformity; [35,47]). ...
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There is a growing consensus that animals’ socially transmitted knowledge should be recognized when planning conservation management, but demonstrating social learning or culture can present considerable challenges, especially in the wild. Fortunately, decades of research have spawned a rich methodological toolkit for exactly this purpose. Here, we review principal approaches, including: social learning experiments; analyses of natural or experimentally seeded diffusions of novel behaviours, sometimes using specialist statistical techniques; mapping of behavioural variation across neighbouring, sympatric or captive groups, or at larger scales; and assessment of aspects of cross-generational transmission, including teaching, learning during ontogenetic development and cumulative change. Some methods reviewed were developed for captive studies, but have subsequently been adapted for application in the wild, or are useful for exploring a species’ general propensity to learn and transmit information socially. We highlight several emerging ‘rapid assessment’ approaches—including camera trapping, passive acoustic monitoring, animal-borne tags, AI-assisted data mining and computer simulations—that should prove useful in addressing particularly urgent conservation needs. We conclude by considering how best to use this growing methodological toolkit in practice, to guide further research on animal social learning and cultures, and maximize conservation and policy impact. This article is part of the theme issue ‘Animal culture: conservation in a changing world’.
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The behaviour of both humans and wildlife is central to the conservation of biodiversity because conservation requires human actions at multiple scales. In species with evidence of socially learned behaviour and culture, the juxtaposition of human and animal culture increases the complexity of human–wildlife interactions and their investigation but also offers opportunities to mitigate negative interactions. In this paper, we consider the language used to analyse human–animal interactions and we review the effect of culture and socially learned behaviours on those interactions. We investigate how knowledge of culture and theory from behavioural studies can be used to negotiate the complex interactions between humans and wildlife, providing specific examples of how culture can be mined for developing policies regarding negative interactions. We highlight that interactions between animal and human culture are central to the conservation of wildlife, and that such human–wildlife interactions are a key target for studies of biodiversity conservation. Integrating culture and social learning into conservation research offers scope to leverage knowledge gaps, misconceptions and concerns into conservation actions that are targeted, relevant and meaningful. This article is part of the theme issue ‘Animal culture: conservation in a changing world’.
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With elephant numbers increasing in some parts of their range, and related conservation concerns including elephants’ impact on vegetation and human–elephant conflict, management interventions have been used to artificially reduce elephant numbers, to stabilize populations locally and regionally, or to affect their spatial distribution. Interventions may have environmental, demographic, or social impacts, often unintended. We evaluated elephant management interventions, including both direct (contraception, vasectomy, translocation, hunting, culling) and indirect interventions (fencing, range expansion, corridors, water provision, and fire management). The study draws on evidence from across the range of African and Asian elephants, but with a focus on South Africa, through a systematic literature review using Science Direct, Web of Science, Scopus, Google Scholar, and Google from 2007 onwards, i.e. covering the period since the publication of the 2008 Assessment of South African Elephant Management. We focus on the effects of management on elephants, and present information on success of each method, as well as its demographic effects. We also identified unintended consequences of the interventions, such as increased human–elephant conflict, irruptive growth rates, social disruption, inbreeding depression, truncation of migratory routes, excessive vegetation damage, and breakdown in social structure. Culling and trophy hunting had the most unintended consequences, and evoked the most negative sentiments among tourists. There was a large disparity in the research effort directed towards different interventions, and we highlight gaps where additional research is needed. Elephant management can be contentious, with polarized views, and the broader social and economic elements need consideration. Disservices such as human–elephant conflict need to be reduced, and increased attention paid to animal welfare, and the broader expectations of society in this regard. Despite the review not being restricted, our study is informed mainly by research carried out in South Africa, drawing in large part on the base created by the 2008 assessment, as well as the norms and standards for management interventions formalized in South African regulations. Furthermore, the aim of the review was to produce information that could be used to update current approaches to elephant management in South Africa. The review draws on publications outside South Africa where they are available, as knowledge gained elsewhere is crucial for improving management decisions. We believe that our study has wider application for use throughout the African savannah elephant range. Du fait du nombre d’éléphants en augmentation dans certains territoires et des inquiétudes relatives à leur conservation — dont les répercussions sur la végétation et les conflits humains-éléphants — des interventions de gestion ont été mises en place afin de réduire artificiellement les populations et les stabiliser localement et régionalement, ou pour agir sur leur répartition dans ces espaces. Des impacts environnementaux, démographiques ou sociaux, souvent imprévus, peuvent découler de ces opérations. Nous avons évalué ces interventions de gestion, qu’elles soient directes (contraception, vasectomie, transferts, chasse, abattage) ou indirectes (clôtures, agrandissement des aires de répartition, couloirs biologiques, approvisionnement en eau ou gestion des incendies). L’étude s’appuie sur des données provenant de l’ensemble des aires de répartition des éléphants d'Afrique et d'Asie avec un gros plan sur les individus sud-africains, grâce à une analyse systématique de la littérature sur le sujet en utilisant Science Direct, Web of Science, Scopus, Google Scholar et Google à partir de 2007, soit toute la période depuis le 2008 Assessment of South African Elephant Management (Évaluation de la gestion de l’éléphant sud-africain en 2008). Nous avons ciblé les effets immédiats de ces interventions sur les éléphants et nous présentons ici les réussites de chaque méthode, ainsi que leur impact sur la démographie. Nous avons également identifié les conséquences involontaires de ces initiatives, telles que l’augmentation des conflits humains-éléphants, des croissances soudaines de certaines populations, des perturbations sociales, dépression consanguine, routes migratoires tronquées, dommages excessifs dans la végétation et dégradation des structures sociales. L’abattage et la chasse au trophée ont causé les retombées les plus inattendues et ont suscité les sentiments les plus négatifs parmi les touristes. D’importantes disparités ont été constatées dans l’effort de recherche consacré aux différentes interventions et nous soulignons les lacunes lorsque de plus amples informations sont nécessaires. La gestion des éléphants peut être controversée et soulever des points de vue opposés, et les composantes sociales et économiques plus générales doivent être prises en compte. Il convient de réduire les torts causés par les conflits humain-éléphant et d’accorder une plus grande attention au bien-être des animaux et aux attentes de la société à cet égard. Bien que le rapport ne soit pas restrictif, notre étude se base principalement sur les recherches menées en Afrique du Sud, plus précisément sur les éléments rassemblés lors de l’évaluation de 2008, ainsi que sur les normes et critères des interventions de gestion formalisés dans la réglementation sud-africaine. De plus, l’objectif du rapport était de produire des informations pouvant être utilisées pour une nouvelle approche de la gestion de l’éléphant en Afrique du Sud. Le compte-rendu fait appel à certaines publications autres que sud-africaines lorsqu’elles étaient disponibles, car indépendamment de leur origine, les données sont essentielles pour renseigner les décisions dans le domaine de la gestion. Nous considérons que notre étude sera utile dans toutes les aires de répartition de l’éléphant de savane.
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