1 3 O c t O b e r 2 0 1 6 | V O L 5 3 8 | N A t U r e | 2 3 3
Letterdoi:10.1038/nature19758
The phylogenetic roots of human lethal violenceJosé María Gómez1,2, Miguel Verdú3, Adela González-Megías4 & Marcos Méndez5
The psychological, sociological and evolutionary roots of conspecific violence in humans are still debated, despite attracting the attention of intellectuals for over two millennia1–11. Here we propose a conceptual approach towards understanding these roots based on the assumption that aggression in mammals, including humans, has a significant phylogenetic component. By compiling sources of mortality from a comprehensive sample of mammals, we assessed the percentage of deaths due to conspecifics and, using phylogenetic comparative tools, predicted this value for humans. The proportion of human deaths phylogenetically predicted to be caused by interpersonal violence stood at 2%. This value was similar to the one phylogenetically inferred for the evolutionary ancestor of primates and apes, indicating that a certain level of lethal violence arises owing to our position within the phylogeny of mammals. It was also similar to the percentage seen in prehistoric bands and tribes, indicating that we were as lethally violent then as common mammalian evolutionary history would predict. However, the level of lethal violence has changed through human history and can be associated with changes in the socio-political organization of human populations. Our study provides a detailed phylogenetic and historical context against which to compare levels of lethal violence observed throughout our history.
Debate on the nature of human violence has been ongoing since before the publication of Leviathan by Thomas Hobbes in 1651. Lethal violence is considered by some to be mostly a cultural trait5,6,12; however, aggression in mammals, including humans13,14, also has a genetic component with high heritability. Consequently, it is widely acknowledged that evolution has also shaped human violence2–4. From this perspective, violence can be seen as an adaptive strategy, favouring the perpetrator’s reproductive success in terms of mates, status or resources15,16. Yet this does not mean that violence is invariant or even adaptive in all situations15. In fact, given that the conditions under which violence benefits evolutionary fitness depend on the ecological and cultural context, levels of violence tend to vary among human populations12,13,15,16. Disentangling the relative importance of cultural and non-cultural components of human violence is challenging3,5 owing to the complex interactions between ecological, social, behavioural and genetic factors.
Conspecific violence is not exclusive to humans. Many primates exhibit high levels of intergroup aggression and infanticide4,10. Social carnivores sometimes kill members of other groups and commit infanticide when supplanting older members of the same group17,18. Even seemingly peaceful mammals such as hamsters and horses sometimes kill individuals of their own species19,20. The prevalence of aggression throughout Mammalia raises the question of the extent to which levels of lethal violence observed in humans are as expected, given our position in the phylogenetic tree of mammals. In this study, we quantified the level of lethal violence in 1,024 mammalian species from 137 families (Supplementary Information section 9a) and in over
600 human populations, ranging from the Palaeolithic era to the present (Supplementary Information section 9c). The level of lethal violence was defined as the probability of dying from intraspecific violence compared to all other causes. More specifically, we calculated the level of lethal violence as the percentage, with respect to all documented sources of mortality, of total deaths due to conspecifics (these were infanticide, cannibalism, inter-group aggression and any other type of intraspecific killings in non-human mammals; war, homicide, infanticide, execution, and any other kind of intentional conspecific killing in humans).
Lethal violence is reported for almost 40% of the studied mammal species (Supplementary Information section 9a). This is probably an underestimation, because information is not available for many species. Overall, including species with and without lethal violence, we found that the percentage of deaths due to conspecifics was 0.30 ± 0.19% of all deaths (phylogenetically corrected mean ± s.e.m). This level was not affected by the number of individuals sampled per species (Supplementary Information section 1). These findings suggest that lethal violence, although infrequent, is widespread among mammals19–21.
We determined whether related species tended to have similar levels of lethal violence by calculating the phylogenetic signal. We used the most recently updated mammalian phylogenies, including 5,020 extant mammals22 and 5,747 extant and recently extinct mammals23. We found a significant phylogenetic signal for lethal violence, even after combining disparate causes of intraspecific killings (λ > 0.60, P < 0.0001; Supplementary Information section 2). While lethal violence was uncommon in certain clades such as bats, whales and lagomorphs, it was frequent in others, such as primates (Fig. 1). The phylogenetic signal was also significantly lower than one (P < 0.0001), indicating that lethal violence exhibits certain evolutionary flex-ibility (Fig. 1). For example, the level of lethal violence strongly differs between chimpanzees (Pan troglodytes) and bonobos (Pan paniscus)10,17,20. This outcome suggests that additional factors may subsequently modify the level of lethal violence in related species. Territoriality and social behaviour mediate conspecific aggression in mammals20,24. We scored these two traits for every mammal in our study and statistically related them to the level of lethal violence using phylogenetic generalized linear models. Using this method, we found that the level of lethal violence was higher in social and territorial species than in solitary and non- territorial species (Fig. 2; Extended Data Table 1).
The occurrence of a phylogenetic signal for lethal violence in mammals enables the phylogenetic inference of lethal violence in humans. We used ancestral-state estimation methods that infer the value of a trait in any extant species according to its position in the phylogenetic tree25. The level of human lethal violence was estimated both with and without considering the territoriality and sociability of mammals. Because phylogenetic inferences are much more accurate and reliable when including information from close relatives26
1Estación Experimental de Zonas Áridas (EEZA-CSIC), E-04120 Almería, Spain. 2Dpto de Ecología, Universidad de Granada, E-18071 Granada, Spain. 3Centro de Investigaciones sobre Desertificación (CSIC-UV-GV), E-46113 Valencia, Spain. 4Dpto de Zoología, Universidad de Granada, E-18071 Granada, Spain. 5Área de Biodiversidad y Conservación, Universidad Rey Juan Carlos, E-28933 Madrid, Spain.
© 2016 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.
2 3 4 | N A t U r e | V O L 5 3 8 | 1 3 O c t O b e r 2 0 1 6
LetterreSeArCH
and fossils23, information on Homo neanderthalensis was included when estimating the level of human lethal violence (Supplementary Information section 9b). In addition, because the level of violence varies among populations of the same species10,20,21, all models include intraspecific variation in the level of mammalian lethal violence. The phylogenetically inferred level of lethal violence, averaging
across all models, was 2.0 ± 0.02% of all deaths (Fig. 3a). These estimates seem to be robust to many potential biases, such as phylogenetic uncertainty, phylogenetic depth, sampling effort, and phylogeny size (Supplementary Information sections 3–6). Territoriality and sociability affect the phylogenetic inference of the level of lethal violence, as it was 1.9 ± 0.01% in the models without these two variables but 2.1 ± 0.02%
Figure 1 | Evolution of lethal aggression in non-human mammals. Tree showing the phylogenetic estimation of the level of lethal aggression in mammals (n = 1,024 species) using stochastic mapping. Lethal aggression increases with the intensity of the colour, from yellow to dark red. Light grey indicates the absence of lethal aggression. Mammalian ancestral nodes compared with human lethal violence are shown in red, whereas main placental lineages are marked with black nodes. The red triangle indicates the phylogenetic position of humans. The silhouettes of representative mammals (downloaded from
http://www.phylopic.org) illustrate the main mammalian clades. They are licenced for use in the Public Domain without copyright, except for the silhouettes of Murinae (D. Liao), Jaculus (M. Karaka), Philander (S. Werning), Rattus (R. Groom), Molossus (Zimices), Balaenoptera (C. Hoh), Rousettus (O. Peles), Connochaetes, Redunca, and Kobus (J. A. Venter, H. H. T. Prins, D. A. Balfour and R. Slotow), that are licenced under a Creative Commons 3.0 license (http://creativecommons.org/licenses/by/3.0).
Tachyglossus aculeatus Ornithorhynchus anatinus Pedetes capensis Allactaga elater Allactaga euphratica Allactaga williamsi Allactaga sibirica Euchoreutes naso Dipus sagitta Jaculus jaculus Zapus hudsonius Zapus princeps Cardiocranius paradoxus Salpingotus kozlovi Pygeretmus pumilio Acomys cahirinus Acomys dimidiatus Lophuromys �avopunctatus Lophuromys sikapusi Micaelamys namaquensis Apodemus peninsulae Apodemus agrarius Apodemus mystacinus Apodemus witherbyi Apodemus �avicollis Apodemus rusiges Apodemus sylvaticus Bandicota bengalensis Bandicota indica Leggadina forresti Notomys alexis Notomys mitchellii Pseudomys apodemoides
Pseudomys desertor Mastacomys fuscus Pseudomys hermannsburgensis
Millardia meltada Dasymys rufulus Hydromys chrysogaster Golunda ellioti Oenomys hypoxanthus
Lemniscomys striatus Leopoldamys sabanus
Maxomys surifer Maxomys whiteheadi
Micromys minutus Mus booduga Mus macedonicus
Mus musculus Mus spretus Mus musculoides Mus setulosus Mus platythrix
Nesokia indica Niviventer cremoriventer
Otomys irroratus
Otomys occidentalis
Otomys orestes Myotomys unisulcatus
Paruromys dominator
Praomys hartwigi
Rattus fuscipes Rattus lutreolus
Rattus tunneyi
Rattus villosissimus
Rattus exulans
Rattus argentiventer
Rattus rattus Rattus andamanensis
Rattus tanezumi
Rattus tiomanicus
Rattus norvegicus
Rhabdomys pumilio
Sundamys muelleri
Abrothrix longipilis
Akodon azarae
Akodon iniscatus
Abrothrix olivaceus
Akodon molinae
Loxodontomys micropus
Phyllotis darwini
Phyllotis xanthopygus
Graomys griseo�avus
Necromys lasiurus
Calomys laucha
Calomys musculinus
Calomys tener
Chelemys macronyx
Eligmodontia morgani
Eligmodontia typus
Geoxus valdivianus
Irenomys ta
rsalis
Oligoryzomys �avescens
Oligoryzomys longicaudatus
Oligoryzomys nigripes
Reithrodon auritus
Sigmodon hispidus
Peromyscus g
ossypinus
Peromyscus le
ucopus
Peromyscus m
aniculatus
Peromyscus p
olionotus
Neotoma cinerea
Cric
etulus barabensis
Cric
etulus migratorius
Phodopus campbelli
Phodopus roborovs
kii
Tschersk
ia triton
Alticola ro
ylei
Myo
des gapperi
Myo
des glar
eolus
Myo
des ru
focanus
Arb
orimus l
ongicaudus
Arvi
cola
amphibius
Arvi
cola
scherm
an
Chionomys
nivalis
Dicr
ostonyx
groen
landicus
Ello
bius fu
scoca
pillus
Ello
bius lu
tesce
ns
Lagur
us la
gurus
Lasio
podomys b
rand
tii
Lemmus
lemmus
Syn
apto
mys
cooper
i
Micr
otus
agre
stis
Micr
otus
fortis
Micr
otus
mon
golic
us
Micr
otus
arva
lis
Micr
otus
levis
Micr
otus
gue
nthe
ri
Micr
otus
iran
i
Micr
otus
socia
lis
Micr
otus
cali
forn
icus
Micr
otus
pen
nsylv
anicus
Micr
otus
towns
endii
Micr
otus
oec
onom
us
Micr
otus
gre
galis
Micr
otus
thom
asi
Ond
atra
zibe
thicu
s
Mer
ione
s cr
assus
Mer
ione
s lib
ycus
Mer
ione
s m
erid
ianus
Mer
ione
s sa
cram
enti
Mer
ione
s tri
stra
mi
Mer
ione
s un
guic
ulat
us
Mer
ione
s pe
rsic
us
Psa
mm
omys
obe
sus
Rho
mbo
mys
opi
mus
Ger
billu
s an
ders
oni
Dip
odillu
s da
syur
us
Ger
billu
s pu
sillus
Ger
billu
s ge
rbillu
s
Ger
billu
s he
nley
i
Ger
billu
s m
esop
otam
iae
Ger
billu
s na
nus
Ger
billu
s py
ram
idum
Tat
era
indi
ca
Ger
billis
cus
robu
stus
Cric
etom
ys e
min
i
Cric
etom
ys g
ambi
anus
Sac
cost
omus
mea
rnsi
Hyp
ogeo
mys
ant
imen
a
Cal
omys
cus
bailw
ardi
Can
nom
ys b
adiu
s
Den
drom
us in
sign
is
Lop
hiom
ys im
haus
i
Myo
spal
ax m
yosp
alax
Spa
lax
leuc
odon
Cas
tor c
anad
ensi
s
Cas
tor �
ber
Tho
mom
ys ta
lpoi
des
Geo
mys
bur
sariu
s
Orth
ogeo
mys
his
pidus
Oct
odon
brid
gesi
Oct
odon
deg
us
Cte
nom
ys a
zarae
Abr
ocom
a be
nnet
tii
Hyd
roch
oeru
s hy
droc
haer
is
Pet
rom
us ty
picus
Cav
ia a
perea
Cav
ia m
agna
Mic
roca
via
aust
ralis
Gal
ea m
uste
loid
es
Myo
proc
ta a
couc
hy
Das
ypro
cta
punc
tata
Das
ypro
cta
lepo
rina
Das
ypro
cta
azar
ae
Das
ypro
cta
fulig
inos
a
Myo
cast
or c
oypus
Trin
omys
par
atus
Cly
omys
bis
hopi
Dol
icho
tis p
atag
onum
Cun
icul
us p
aca
Hys
trix
afr
icae
aust
ralis
Hys
trix
cris
tata
Hys
trix
bra
chyu
ra
Hys
trix
indi
ca
Ath
erur
us a
fric
anus
Thr
yono
mys
sw
inde
rianu
s
Thr
yono
mys
gre
goria
nus
Het
eroc
epha
lus
glab
er
Ere
thiz
on d
orsa
tum
Coe
ndou
pre
hens
ilis
Coe
ndou
nyc
them
era
Lag
osto
mus
max
imus
Chi
nchi
lla la
nige
ra
Spa
laco
pus
cyan
us
Aco
naem
ys p
orte
ri
Apl
odon
tia r
ufa
Mar
mot
a ca
udat
a
Mar
mot
a bo
bak
Mar
mot
a hi
mal
ayan
a
Mar
mot
a si
biric
a
Mar
mot
a m
arm
ota
Mar
mot
a m
onax
Mar
mot
a �a
vive
ntris
Mar
mot
a va
ncou
vere
nsis
Spe
rmop
hilu
s un
dula
tus
Spe
rmop
hilu
s co
lum
bian
us
Spe
rmop
hilu
s pa
rryi
i
Spe
rmop
hilu
s ric
hard
soni
i
Spe
rmop
hilu
s tr
idec
emlin
eatu
s
Spe
rmop
hilu
s fr
ankl
inii
Spe
rmop
hilu
s w
ashi
ngto
ni
Spe
rmop
hilu
s be
eche
yi
Spe
rmop
hilu
s ci
tellu
s
Sp
erm
ophi
lus
fulv
us
Sp
erm
ophi
lus
pyg
mae
us
Sp
erm
ophi
lus
eryt
hrog
enys
Sp
erm
ophi
lus
bel
din
gi
Sp
erm
ophi
lus
tow
nsen
dii
Sp
erm
ophi
lus
late
ralis
Cyn
omys
gun
niso
ni
Cyn
omys
leuc
urus
Cyn
omys
par
vid
ens
Cyn
omys
lud
ovic
ianu
s
Cyn
omys
mex
ican
us
Tam
ias
stria
tus
Tam
ias
sib
iricu
s
Tam
ias
amoe
nus
Tam
ias
qua
drim
acul
atus
xenes saima
T susoiceps sai
maT T
amia
s m
inim
usmuihcarbofur suruicsoile
H iregnats surexotor
P suecarhco surexara
P suporhtyre sure
X siruani sure
X sucinosduh suruicsai
maT
iisalguod suruicsaima
T sisnenilorac suruic
S regin suruic
S sisnetanarg suruic
S sediotageirav suruic
S sir tnevingi suruic
S sue
cida
ps s
urui
cS
sue
sirg
suru
icS
sir
aglu
v su
ruic
S s
nalo
v sy
more
tP
ats
irua
tep
atsir
uate
P s
isne
ppili
hp a
tsir
uate
P s
ufur
obla
ats
irua
teP
sue
reni
c su
ruat
epu
EGlaucom
ys sabrinus s
utair
bmif
sy
mocu
algo
E i
esoh
sull
irua
teP
Ratufa b
icolor
Ratufa ind
ica
Callosciurus notatus
Menetes b
erdm
orei
Funamb
ulus palm
arum
Funamb
ulus pennantii
Tamiop
s mcclelland
ii
Sund
asciurus lowii
Dryom
ys nitedula
Eliom
ys melanurus
Eliom
ys quercinus
Myom
imus setzeri
Muscard
inus avellanarius
Glis glis
Grap
hiurus murinus
Brachylagus id
ahoensis
Sylvilagus b
rasiliensis
Sylvilagus p
alustris
Sylvilagus �oridanus
Sylvilagus transitionalis
Sylvilagus nuttallii
Lepus �avigularis
Lepus californicus
Lepus americanus
Lepus arcticus
Lepus othus
Lepus timidus
Lepus townsendii
Lepus brachyurus
Lepus europaeus
Lepus granatensis
Lepus capensis
Lepus tolai
Lepus saxatilis
Lepus microtis
Lepus nigricollis
Oryctolagus cuniculus
Pronolagus crassicaudatus
Pronolagus rupestris
Pronolagus randensis
Ochotona pallasi
Ochotona rufescens
Ochotona roylei
Ochotona curzoniae
Ochotona dauurica
Cercopithecus ascanius
Cercopithecus cephus
Cercopithecus erythrotis
Cercopithecus petaurista
Cercopithecus m
itis
Cercopithecus nictitans
Cercopithecus cam
pbelli
Cercopithecus m
ona
Cercopithecus pogonias
Cercopithecus diana
Cercopithecus preussi
Chlorocebus aethiops
Chlorocebus pygerythrus
Chlorocebus sabaeus
Chlorocebus tantalus
Erythrocebus patas
Miopithecus talapoin
Cercocebus torquatus
Cercocebus atys
Mandrillus leucophaeus
Mandrillus sphinx
Lophocebus albigena
Papio anubis
Papio cynocephalus
Papio papio
Papio ursinus
Theropithecus gelada
Macaca arctoides
Macaca assam
ensis
Macaca radiata
Macaca cyclopis
Macaca m
ulatta
Macaca fuscata
Macaca fascicularis
Macaca m
aura
Macaca leonina
Macaca sylvanus
Colobus guereza
Colobus polykom
os
Colobus satanas
Piliocolobus badius
Piliocolobus tephrosceles
Piliocolobus rufomitratus
Procolobus verus
Nasalis larvatus
Presbytis thomasi
Presbytis melalophos
Semnopithecus entellus
Semnopithecus ajax
Semnopithecus priam
Trachypithecus auratus
Trachypithecus cristatus
Trachypithecus delacouri
Trachypithecus poliocephalus
Trachypithecus geei
Trachypithecus pileatus
Trachypithecus obscurus
Trachypithecus phayrei
Trachypithecus johnii
Rhinopithecus bieti
Rhinopithecus roxellana
Pygathrix nemaeus
Pygathrix nigripes
Gorilla gorilla
Gorilla beringei
Pan paniscus
Pan troglodytes
Pongo pygmaeus
Pongo abelii
Hylobates agilis
Hylobates lar
Nomascus concolor
Nomascus hainanus
Nomascus leucogenys
Nomascus gabriellae
Nomascus siki
Alouatta belzebul
Alouatta caraya
Alouatta palliata
Alouatta guariba
Alouatta pigra
Alouatta seniculus
Ateles belzebuth
Ateles geoffroyi
Ateles paniscus
Brachyteles hypoxanthus
Oreonax �avicauda
Lagothrix lagotricha
Pithecia irrorata
Pithecia monachus
Pithecia pithecia
Callicebus hoffmannsi
Callicebus moloch
Callicebus torquatus
Aotus azarae
Aotus nancymaae
Aotus trivirgatus
Aotus vociferans
Callimico goeldii
Callithrix pygmaea
Callithrix aurita
Callithrix geoffroyi
Callithrix jacchus
Leontopithecus rosalia
Saguinus midas
Saguinus geoffroyi
Saguinus oedipus
Saguinus imperator
Saguinus fuscicollis
Saguinus nigricollis
Cebus albifrons
Cebus capucinus
Cebus olivaceus
Cebus apella
Cebus nigritus
Saimiri boliviensis
Saimiri sciureus
Tarsius bancanus
Tarsius pumilus
Tarsius tarsier
Tarsius syrichta
Mirza coquereli
Microcebus murinus
Microcebus rufus
Cheirogaleus major
Cheirogaleus medius
Avahi laniger
Propithecus diadema
Propithecus edwardsi
Propithecus verreauxi
Eulemur fulvus
Eulemur collaris
Eulemur macaco
Eulemur mongoz
Eulemur rubriventer
Hapalemur griseus Lemur catta
Varecia variegata
Lepilemur edwardsi
Perodicticus potto
Loris tardigradus
Loris lydekkerianus
Nycticebus coucang
Nycticebus pygmaeus Galago moholi
Galago senegalensis
Otolemur crassicaudatus Galago demidoff
Galeopterus variegates
Cynocephalus volans Tupaia belangeri Tupaia glis Tupaia gracilis
Tupaia javanica Tupaia minor Tupaia tana Oryx dammah Oryx gazella Oryx leucoryx Hippotragus equinus
Hippotragus niger Alcelaphus buselaphus
Connochaetes taurinus Damaliscus lunatus
Damaliscus korrigum Damaliscus pygargus Ammotragus lervia Budorcas taxicolor Ovis ammon Ovis aries Ovis canadensis Ovis dalli Capra falconeri Capra hircus Capra ibex Capra nubiana Capra pyrenaica Capra sibirica Hemitragus hylocrius Hemitragus jemlahicus Pseudois nayaur Rupicapra pyrenaica Rupicapra rupicapra Capricornis crispus Naemorhedus goral Capricornis sumatraensis Capricornis thar Capricornis swinhoei Ovibos moschatus Oreamnos americanus Pantholops hodgsonii
Aepyceros melampus Antidorcas marsupialis Antilope cervicapra
Gazella bennettii Gazella cuvieri
Gazella subgutturosa Gazella dorcas Gazella gazella
Nanger dama Nanger granti
Eudorcas thomsonii Saiga tatarica
Cephalophus callipygus Cephalophus ogilbyi
Cephalophus dorsalis
Cephalophus silvicultor
Cephalophus natalensis
Cephalophus nigrifrons
Cephalophus ru�latus
Cephalophus leucogaster
Sylvicapra grimmia
Philantomba maxwellii
Philantomba monticola
Raphicerus campestris
Raphicerus sharpei
Raphicerus melanotis
Kobus ellipsiprymnus
Kobus kob
Kobus vardonii
Redunca arundinum
Redunca redunca
Redunca fulvorufula
Pelea capreolus
Madoqua kirkii
Neotragus batesi
Neotragus moschatus
Oreotragus oreotragus
Ourebia ourebi
Procapra gutturosa
Bison bison
Bison bonasus
Bos grunniens
Bos frontalis
Bos javanicus
Bubalus bubalis
Syncerus caffer
Boselaphus tragocamelus
Tetracerus quadricornis
Taurotragus oryx
Tragelaphus strepsiceros
Tragelaphus angasii
Tragelaphus eurycerus
Tragelaphus spekii
Tragelaphus scriptus
Tragelaphus imberbis
Alces alces
Capreolus capreolus
Capreolus pygargus
Hippocamelus bisulcus
Ozotoceros bezoarticus
Mazama americana
Mazama pandora
Mazama gouazoubira
Odocoileus hemionus
Odocoileus virginianus
Pudu puda
Rangifer tarandus
Axis axis
Axis kuhlii
Axis porcinus
Rucervus duvaucelii
Cervus elaphus
Rucervus eldii
Cervus nippon
Rusa timorensis
Rusa unicolor
Dama dama
Muntiacus muntjak
Moschus cupreus
Moschus moschiferus
Antilocapra americana
Giraffa camelopardalis
Hyemoschus aquaticus
Moschiola meminna
Tragulus javanicus
Phocoena phocoena
Phocoenoides dalli
Lagenorhynchus obliquidens
Lissodelphis borealis
Delphinus delphis
Delphinus capensis
Stenella attenuata
Stenella coeruleoalba
Tursiops truncatus
Tursiops aduncus
Feresa attenuata
Pseudorca crassidens
Globicephala macrorhynchus
Peponocephala electra
Grampus griseus
Orcaella brevirostris
Orcinus orca
Sousa chinensis
Stenella longiro
stris
Delphinapterus leucas
Mesoplodon densir
ostris
Mesoplodon la
yardii
Ziphius cavir
ostris
Kogia breviceps
Physeter c
atodon
Eubalaena glacialis
Balaenoptera acutorostrata
Balaenoptera musc
ulus
Megaptera novaeanglia
e
Eschric
htius r
obustus
Hippopotamus amphibius
Babyrousa
babyruss
a
Hylochoerus m
einertzhageni
Potamochoerus larva
tus
Potamochoerus porcus
Sus barb
atus
Sus cele
bensis
Sus scro
fa
Phacoch
oerus a
ethiopicu
s
Phacoch
oerus a
frican
us
Tayas
su pec
ari
Pecari
tajac
u
Camelu
s bac
trianu
s
Camelu
s dro
medari
us
Lama g
lama
Vicugna
vicu
gna
Cerato
ther
ium si
mum
Dicero
s bico
rnis
Rhinoc
eros
unico
rnis
Tapiru
s bair
dii
Tapiru
s pinc
haque
Tapiru
s ter
restr
is
Tapiru
s ind
icus
Equus
bur
chell
ii
Equus
gre
vyi
Equus
hem
ionus
Equus
cab
allus
Mus
tela
lutre
ola
Mus
tela
sibiric
a
Mus
tela
strig
idor
sa
Mus
tela
ever
sman
ii
Mus
tela
nigrip
es
Mus
tela
puto
rius
Mus
tela
erm
inea
Mus
tela
frena
ta
Mus
tela
niva
lis
Mus
tela
kath
iah
Neovis
on v
ison
Mar
tes
amer
ican
a
Mar
tes
mel
ampu
s
Mar
tes
zibel
lina
Mar
tes
mar
tes
Mar
tes
foin
a
Mar
tes
�avig
ula
Mar
tes
penn
anti
Gul
o gu
lo
Eira
bar
bara
Gal
ictis
cuj
a
Icto
nyx
stria
tus
Mel
livor
a ca
pens
is
Arct
onyx
col
laris
Mel
es m
eles
Myd
aus
java
nens
is
Mel
ogal
e m
osch
ata
Lont
ra fe
lina
Lont
ra lo
ngic
audi
s
Lont
ra c
anad
ensi
s
Lutra
lutra
Enhy
dra
lutri
s
Con
epat
us c
hing
a
Mep
hitis
mep
hitis
Spilo
gale
put
oriu
s
Taxi
dea
taxu
s
Proc
yon
canc
rivor
us
Proc
yon
loto
r
Nas
ua n
aric
a
Nas
ua n
asua
Bas
saris
cus
astu
tus
Bas
saric
yon
bedd
ardi
Bas
saric
yon
gabb
ii
Poto
s �a
vus
Ailu
rus
fulg
ens
Odo
benu
s ro
smar
us
Arct
ocep
halu
s au
stra
lis
Arct
ocep
halu
s fo
rste
ri
Arct
ocep
halu
s tro
pica
lis
Neo
phoc
a ci
nere
a
Pho
carc
tos
hook
eri
Eum
etop
ias
juba
tus
Zalo
phus
cal
iforn
ianu
s
Pus
a ca
spic
a P
usa
sibi
rica
Pho
ca v
itulin
a
Lobo
don
carc
inop
haga
Miro
unga
ang
ustir
ostr
is
Miro
unga
leon
ina
Mon
achu
s sc
haui
nsla
ndi
Mon
achu
s m
onac
hus
Urs
us a
rcto
s
Urs
us m
ariti
mus
Urs
us th
ibet
anus
Hel
arct
os m
alay
anus
Mel
ursu
s ur
sinu
s
Urs
us a
mer
ican
us
Ailu
ropo
da m
elan
oleu
ca
Can
is lu
pus
Can
is la
tran
s C
anis
sim
ensi
s C
anis
adu
stus
C
anis
aur
eus
Can
is m
esom
elas
C
erdo
cyon
thou
s
Chr
ysoc
yon
brac
hyur
us
Cuo
n al
pinu
s Ly
caon
pic
tus
Spe
otho
s ve
natic
us
Nyc
tere
utes
pro
cyon
oide
s V
ulpe
s co
rsac
V
ulpe
s ru
eppe
llii
Vul
pes
vulp
es
Vul
pes
lago
pus
Vul
pes
velo
x V
ulpe
s m
acro
tis
Vul
pes
cham
a U
rocy
on c
iner
eoar
gent
eus
Oto
cyon
meg
alot
is
Pan
ther
a le
o P
anth
era
pard
us
Pan
ther
a on
ca
Pan
ther
a tig
ris
Unc
ia u
ncia
N
eofe
lis n
ebul
osa
Par
dof
elis
mar
mor
ata
Lynx
lynx
Ly
nx p
ard
inus
Ly
nx r
ufus
Le
opar
dus
geo
ffro
yi
Leop
ard
us p
ard
alis
Le
opar
dus
wie
dii
Felis
silv
estr
is
Felis
cha
us
Felis
man
ul
Car
acal
car
acal
P
riona
iluru
s b
enga
lens
is
Prio
nailu
rus
vive
rrin
us
Pum
a ya
goua
roun
di
Pum
a co
ncol
or
Aci
nony
x ju
bat
us
Cro
cuta
cro
cuta
H
yaen
a hy
aena
P
rote
les
cris
tata
aluvrap elagoleH
ognum sognu
M aduacibla ai
muenhcI
attacirus ataciruS
atallicinep sitcinyC
isdrawde setsepre
H sucinavaj setsepre
H no
muenhci setsepreH
iih tims setsepre
H si llo
c itti
v se
tsep
reH
atne
lure
vlup
all
erel
aG
suso
nidu
lap
xalit
A si
sneo
p att
ene
G att
eneg
att
ene
G Genetta tigrina
anil
avre
s att
ene
G
rolo
cidr
ap n
odon
oirP
anitt
evic
arr
evi
V ah
tebi
z ar
revi
V
acid
ni al
ucir
revi
V
attev
ic s
itcit
tevi
C
suti
dorh
pamr
eh s
urux
odar
aP
atav
ral
amu
gaP Nand
inia binotata
Cryp
toprocta ferox
Manis javanica
Manis crassicaud
ata M
anis pentad
actyla M
anis gigantea M
anis temm
inckii M
anis tetradactyla
Manis tricusp
is C
ynopterus sp
hinx C
ynopterus b
rachyotis E
idolon helvum
Rousettus aegyp
tiacus R
ousettus leschenaultii R
ousettus mad
agascariensis E
pom
ophorus w
ahlbergi
Aproteles bulm
erae D
obsonia moluccensis
Acerodon celebensis
Pteropus neohibernicus
Pteropus hypom
elanus P
teropus dasymallus
Pteropus conspicillatus
Pteropus m
ariannus P
teropus tonganus P
teropus poliocephalus
Pteropus rodricensis
Pteropus rayneri
Pteropus giganteus
Pteropus vam
pyrus P
teropus seychellensis
Pteropus niger
Pteropus rufus
Taphozous nudiventris
Rhinopom
a microphyllum
Megaderm
a lyra R
hinolophus cornutus
Rhinolophus ferrum
equinum
Triaenops rufus H
ipposideros armiger
Hipposideros com
mersoni
Asellia tridens
Mystacina tuberculata
Morm
oops megalophylla
Pteronotus quadridens
Desm
odus rotundus
Macrotus w
aterhousii
Lophostoma silvicolum
Phyllostom
us hastatus
Brachyphylla cavernarum
Phyllonycteris poeyi
Leptonycteris yerbabuenae
Glossophaga longirostris
Choeronycteris m
exicana
Morm
opterus acetabulosus
Tadarida brasiliensis
Tadarida australis
Tadarida teniotis
Nyctinom
ops femorosaccus
Nyctinom
ops macrotis
Molossus m
olossus
Molossus rufus
Eumops perotis
Chaerephon plicatus
Mops m
idas
Miniopterus schreibersii
Lasionycteris noctivagans
Nycticeius hum
eralis
Otonycteris hem
prichii
Pipistrellus sub�avus
Antrozous pallidus
Pipistrellus hesperus
Vespertilio murinus
Neorom
icia nanus
Hypsugo savii
Nyctalus leisleri
Nyctalus noctula
Lasiurus ega
Lasiurus xanthinus
Lasiurus cinereus
Lasiurus borealis
Lasiurus seminolus
Barbastella barbastellus
Corynorhinus tow
nsendii
Plecotus austriacus
Plecotus auritus
Scotophilus kuhlii
Pipistrellus kuhlii
Pipistrellus nathusii
Pipistrellus pipistrellus
Pipistrellus pygmaeus
Eptesicus nilssonii
Eptesicus fuscus
Eptesicus serotinus
Myotis austroriparius
Myotis dasycnem
e
Myotis grisescens
Myotis lucifugus
Myotis velifer
Myotis volans
Myotis yum
anensis
Myotis bocagii
Myotis daubentonii
Myotis blythii
Myotis m
yotis
Myotis bechsteinii
Myotis evotis
Myotis keenii
Myotis septentrionalis
Myotis californicus
Myotis ciliolabrum
Myotis brandtii
Myotis m
ystacinus
Myotis sodalis
Talpa europaea
Mogera insularis
Condylura cristata
Parascalops breweri
Scalopus aquaticus
Paraechinus hypomelas
Paraechinus aethiopicus
Hemiechinus auritus
Mesechinus dauuricus
Erinaceus concolor
Erinaceus roumanicus
Erinaceus europaeus
Atelerix albiventris
Crocidura allex
Crocidura attila
Crocidura fulvastra
Crocidura fumosa
Crocidura fuscomurina
Crocidura virgata
Crocidura leucodon
Crocidura olivieri
Crocidura russula
Crocidura suaveolens
Myosorex okuensis
Suncus etruscus
Suncus murinus
Surdisorex polulus
Sylvisorex camerunensis
Sorex araneus
Sorex cinereus
Sorex fumeus
Sorex longirostris
Blarina brevicauda
Neomys anomalus
Neomys fodiens
Choloepus didactylus
Choloepus hoffmanni
Bradypus tridactylus
Bradypus variegatus
Tamandua tetradactyla
Myrmecophaga tridactyla
Euphractus sexcinctus
Zaedyus pichiy
Chaetophractus vellerosus
Chaetophractus villosus
Priodontes maximus
Tolypeutes matacus
Dasypus novemcinctus
Chrysochloris asiatica
Amblysomus hottentotus
Tenrec ecaudatus
Setifer setosus
Elephantulus rufescens
Elephantulus myurus
Macroscelides proboscideus
Petrodromus tetradactylus
Rhynchocyon chrysopygus
Rhynchocyon petersi
Orycteropus afer
Dugong dugon
Trichechus manatus
Trichechus senegalensis
Dendrohyrax arboreus
Heterohyrax brucei
Procavia capensis
Elephas maximus
Loxodonta africana
Loxodonta cyclotis
Petaurus australis
Petaurus breviceps
Petauroides volans
Pseudocheirus peregrinus
Ailurops ursinus
Phalanger orientalis
Phalanger gymnotis
Spilocuscus maculatus
Trichosurus arnhemensis
Trichosurus vulpecula
Trichosurus caninus
Bettongia lesueur
Bettongia penicillata
Dendrolagus inustus
Macropus agilis
Macropus eugenii
Macropus rufogriseus
Macropus rufus
Macropus robustus
Macropus fuliginosus
Macropus giganteus
Wallabia bicolor
Setonix brachyurus
Petrogale assimilis
Dorcopsis hageni
Potorous longipes
Potorous tridactylus
Vombatus ursinus
Phascolarctos cinereus
Dromiciops gliroides
Antechinus �avipes
Antechinus stuartii
Antechinus swainsonii
Phascogale tapoatafa
Sminthopsis murina
Sminthopsis hirtipes
Sminthopsis youngsoni
Sminthopsis macroura
Echymipera clara
Echymipera kalubu
Isoodon auratus
Isoodon obesulus
Perameles gunnii
Perameles nasuta
Macrotis lagotis
Caluromys derbianus
Chironectes minimus
Didelphis albiventris
Didelphis pernigra
Didelphis aurita
Didelphis marsupialis
Didelphis virginiana
Philander opossum Lutreolina crassicaudata
Metachirus nudicaudatus Marmosops paulensis Thylamys elegans Marmosa robinsoni Monodelphis americana Monodelphis brevicaudata
Delp
Mesoplo
Me
B
Mammalia
Treeshrews
Even-toed ungulates
Odd-toed ungulates
Placentalia
Euarchontoglires
Rodents
Rabbits
Elephants
Whales
Pangolins
Bats
Primates
Hominoidea
Euarchonta
Anteaters
Shrews
Carnivores
us
© 2016 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.
1 3 O c t O b e r 2 0 1 6 | V O L 5 3 8 | N A t U r e | 2 3 5
Letter reSeArCH
in the models including them (Fig. 3a). This is a consequence of H. sapiens being both social and territorial, two characteristics associated with a stronger tendency towards lethal violence in mammals (Fig. 2).
We subsequently explored how the level of lethal violence has changed during our evolutionary history by comparing it with the phylogenetically inferred level of lethal violence in relevant ancestral nodes that describe the course of human evolution (Fig. 1). The level of lethal violence was low in the most basal nodes, increasing to 2.3 ± 0.1% of all deaths in the two nodes closely related with the origin of primates and slightly decreasing to 1.8 ± 0.1% of all deaths in the ancestral ape (Fig. 3b). These results suggest that lethal violence is deeply rooted in the primate lineage.
We then compared whether the phylogenetically inferred level of lethal violence differed from the level empirically observed in human populations. The samples were categorized according to their age, using the standard periods from the New and Old World chronologies27. These data must be interpreted cautiously, because there was extensive intra-period variation in lethal violence. Nevertheless, a clear temporal pattern emerged (Fig. 3c). The level of lethal violence during human prehistory did not differ from the phylogenetic predictions (Fig. 3c). This result contrasts with some previous observations9,11, probably
because we have included more populations in our study and weighted all the analyses by the number of individuals per sample. The level of lethal violence during most historic periods was higher than the phylogenetic predictions for both humans (Fig. 3c and Supplementary Information section 7) and the ancestral Hominoidea (Fig. 3b). However, on entering the Modern and Contemporary ages (defined in Methods), the level of lethal violence decreased markedly, as previously reported11 (Fig. 3c). Several potential biases may affect these results. The level of lethal violence inferred from skeletal remains could be underestimated because many deadly injuries do not damage the bones8. Nevertheless, no underestimation was detected for the periods in which both skeletal remains and statistical yearbooks are available (Supplementary Information section 7). Similarly, the presence of battlefields may artificially overestimate the level of lethal violence. However, the periods with highest level of lethal violence were not those with more organized intergroup conflicts (Supplementary Information section 8). Thus, the temporal pattern in the level of lethal violence seems to hold even after considering these potential biases. Concomitant changes in the cultural and ecological human environment may have caused this pattern. Notably, population density, a common ecological driver of lethal aggression in mammals18,21, was lower in periods with high levels of lethal violence than in the less violent Modern and Contemporary ages. High population density is therefore probably a consequence of successful pacification, rather than a cause of strife7.
Socio-political organization is a factor widely invoked to explain changes in violence5,7,11. To assess this effect, we classified human populations into four types28: bands, tribes, chiefdoms and states. Levels of lethal violence in prehistoric bands and tribes did not differ from the phylogenetic inferences (Fig. 3d). However, lethal violence is common in present-day bands and tribes (Fig. 3d), possibly because there are more detailed data on mortality from living people than from archaeological records. Nevertheless, some authors suggest that the level of lethal violence has increased in hunter–gatherers because they now live in denser populations in which intergroup conflicts are more likely3, or because they have contacted colonial societies where warfare or interpersonal violence is frequent29. The level of lethal violence in chiefdoms was also higher than the phylogenetic inferences (Fig. 3d). Severe violence has been frequently reported in chiefdoms30, mostly caused by territorial disputes, population and resource pressures, and competition for political status30. Finally, the level of lethal violence in state societies was lower than the phylogenetic inferences (Fig. 3d). It is widely acknowledged that monopolization of the legitimate use of violence by the state significantly decreases violence in state societies11,30.
In this study, we have explored the origin and evolution of human lethal violence by integrating a phylogenetic approach with an empirical analysis of lethal violence in human populations. The phylogenetic analysis suggests that a certain level of lethal violence in humans arises from the occupation of a position within a particularly violent mammalian clade, in which violence seems to have been ancestrally present. This means that humans have phylogenetically inherited their propensity for violence. We believe that this phylogenetic effect entails more than a mere genetic inclination to violence. In fact, social behaviour and territoriality, two behavioural traits shared with relatives of H. sapiens, seem to have also contributed to the level of lethal violence phylogenetically inherited in humans. Our analysis of human lethal violence shows that lethal violence in prehistoric humans matches the level inferred by our phylogenetic analyses, suggesting that we were, at the dawn of humankind, as violent as expected considering the common mammalian evolutionary history. This pre-historic level of lethal violence has not remained invariant but has changed as our history has progressed, mostly associated with changes in the socio- political organization of human populations. This suggests that culture can modulate the phylogenetically inherited lethal violence in humans.
Figure 2 | Social behaviour and territoriality influence lethal aggression in mammals. The figure shows the phylogenetically corrected level of lethal aggression per group (mean ± s.e.m) and the number of mammalian species included in each group. We used a phylogenetic generalized linear model (PGLS) to test the effect of territoriality (yes or no) and social behaviour (social or solitary) on lethal aggression. The level of lethal aggression was more intense in social and territorial species (PGLS, P < 0.05 in all cases and mammal phylogenies; Extended Data Table 1), with no interaction between these two terms (Extended Data Table 1).
Dea
ths
owin
g to
con
spec
i�c
killi
ngs
(%)
Territorial species
Non-territorial species
0
0.2
0.4
0.6
0.8
1.0
Social species Solitary species
n = 313
n = 221
n = 295
n = 195
© 2016 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.
2 3 6 | N A t U r e | V O L 5 3 8 | 1 3 O c t O b e r 2 0 1 6
LetterreSeArCH
2. Archer, J. The nature of human aggression. Int. J. Law Psychiatry. 32, 202–208 (2009).
3. Bowles, S. Did warfare among ancestral hunter-gatherers affect the evolution of human social behaviors? Science 324, 1293–1298 (2009).
4. Wrangham, R. W. & Glowacki, L. Intergroup aggression in chimpanzees and war in nomadic hunter-gatherers: evaluating the chimpanzee model. Hum. Nat. 23, 5–29 (2012).
5. Fry, D. P. & Söderberg, P. Lethal aggression in mobile forager bands and implications for the origins of war. Science 341, 270–273 (2013).
Online Content Methods, along with any additional Extended Data display items and Source Data, are available in the online version of the paper; references unique to these sections appear only in the online paper.
received 17 March; accepted 15 August 2016.
Published online 28 September 2016.
1. Kelly, R. C. The evolution of lethal intergroup violence. Proc. Natl Acad. Sci. USA 102, 15294–15298 (2005).
3
2
1
0
4
0
5
10
15
20
25
30
35
40
45
50
55
60
65
Hum
an le
thal
vio
lenc
e (%
)H
uman
leth
al v
iole
nce
(%)
Mam
mal
leth
al a
ggre
ssio
n (%
)
Hom
inoi
dea
Prim
ates
Euar
chon
ta
Plac
enta
lia
Mam
mal
ia
Pale
olith
ic
Arch
aic
Form
ativ
e
Mes
olith
ic
Neo
lithi
cB
ronz
e ag
e
Iron
age
Med
ieva
l age
Cla
ssic
Post
-cla
ssic
Mod
ern
age
Con
tem
p. a
ge
Con
tem
p. s
tate
Con
tem
p. tr
ibe
Con
tem
p. b
and
His
toric
sta
te
Chi
efdo
m
Preh
isto
ric tr
ibe
Preh
isto
ric b
and
c
ba
d
Old World New World
Without H. neanderthalensis
Models including only intercept
Models including territoriality and sociability
With H. neanderthalensis
Whole planet
3
2
1
0
4
0
5
10
15
20
25
30
35
40
45
50
55
60
65
Hum
an le
thal
vio
lenc
e (%
)
Models including only intercept
Models including territoriality and sociability
Euar
chon
togl
ires
80
100 100 100 100 100 100 100 100
72 52 72 22 21 44 23 61 84 99 201 136 96 34 13 946 101n =
n = 800 800 800 800 800 800n =
n =
Figure 3 | Lethal violence in humans. a–d, Box plots showing a, the phylogenetic inferences of human lethal violence assessed as the percentage of human deaths caused by conspecifics. These estimates were achieved through phylogenetic generalized linear models and correspond to the ancestral node of the tree rooted at the node separating H. sapiens from the rest of the mammals. All models were performed after logit-transforming the dependent variable and considering the intraspecific variation in mammal lethal aggression. Phylogenetic uncertainty was incorporated by using the tree provided by Fritz et al.22 (grey colour) and a set of 100 randomly sampled trees from Faurby and Svenning23 (white colour). b, The lethal aggression inferred for six important ancestral nodes of human evolution (apes, primates, Euarchonta, Euarchontoglires, placental mammals, and all mammals). c, Human lethal violence during
different temporal periods of human history, according to the Old World and New World chronologies27. d, Human lethal violence in different socio-political organizations28. In all cases the boxplots show median values, 50th percentile values (box outline), 95th percentile values (whiskers), and outlier values (circles). We tested whether the level of lethal violence observed in each ancestral node, human period and human socio-political organization differed significantly from the phylogenetic inferences in a. Colour indicates whether the observed lethal violence was statistically similar (white), higher (red), or lower (blue) than the phylogenetic inferences (Extended Data Tables 2, 3). In a and b, n indicates the number of iterations and in c and d it indicates the number of human populations (see Supplementary Information sections 7, 9c for the number of deaths).
© 2016 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.
1 3 O c t O b e r 2 0 1 6 | V O L 5 3 8 | N A t U r e | 2 3 7
Letter reSeArCH
Supplementary Information is available in the online version of the paper.
Acknowledgements The authors thank E. W. Schupp, P. Jordano, M. Lineham, J. A. Carrión, M. Goberna, A. Montesinos, J. G. Martínez, C. Sánchez Prieto, R. Torices, R. Menéndez and F. Perfectti for comments on an early version of this manuscript.
Author Contributions The study was conceived by J.M.G. Data were compiled by all authors. Analysis was performed by M.V., J.M.G. and A.G.M. All authors discussed the results and contributed to the manuscript.
Author Information The data used in this study are available in Supplementary Information section 9. Reprints and permissions information is available at www.nature.com/reprints. The authors declare no competing financial interests. Readers are welcome to comment on the online version of the paper. Correspondence and requests for materials should be addressed to J.M.G. ([email protected]).
reviewer Information Nature thanks O. Bininda-Emonds, M. Pagel and M. L. Wilson for their contribution to the peer review of this work.
6. Sussman, R. W. in War, Peace, and Human Nature: the Convergence of Evolutionary and Cultural Views (ed. Fry, D. P.) 97–111 (Oxford Univ. Press, 2013).
7. Morris, I. War! What is it Good For? Conflict and the Progress of Civilization from Primates to Robots (Farrar, Straus & Giroux, 2014).
8. Martin, D. L. & Harrod, R. P. Bioarchaeological contributions to the study of violence. Am. J. Phys. Anthropol. 156, (Suppl. 59), 116–145 (2015).
9. Keeley, L. H. War Before Civilization (Oxford Univ. Press, 1996).10. Wrangham, R. & Peterson, D. Demonic Males: Apes and the Origin of Human
Violence (Mariner Books, 1996).11. Pinker, S. The Better Angels of our Nature (Viking Press, 2011).12. Ferguson, R. B. in War, Peace, and Human Nature: the Convergence of
Evolutionary and Cultural Views (ed. Fry, D. P.) 191–240 (Oxford Univ. Press, 2013).
13. Anholt, R. R. H. & Mackay, T. F. C. Genetics of aggression. Annu. Rev. Genet. 46, 145–164 (2012).
14. Huber, R. & Brennan, P. A. Aggression. Adv. Genet. 75, 1–6 (2011).15. Daly, M. & Wilson, M. Homicide (Aldine de Gruyter, 1988).16. Low, B. S. Why Sex Matters: a Darwinian Look at Human Behavior (Princeton
Univ. Press, 2010).17. Packer, C. & Pusey, A. E. in Infanticide, Comparative and Evolutionary Perspectives
(eds Hausfater, G. & Hrdy, S. B.) 31–42 (Aldine Transactions, 1984).18. Cubaynes, S. et al. Density-dependent intraspecific aggression regulates
survival in northern Yellowstone wolves (Canis lupus). J. Anim. Ecol. 83, 1344–1356 (2014).
19. Polis, G. A., Myers, C. A. & Hess, W. R. A survey of intraspecific predation within the class Mammalia. Mammal Rev. 14, 187–198 (1984).
20. Lukas, D. & Huchard, E. Sexual conflict. The evolution of infanticide by males in mammalian societies. Science 346, 841–844 (2014).
21. Archer, J. The Behavioural Biology of Aggression (Cambridge Univ. Press, 1984).22. Fritz, S. A., Bininda-Emonds, O. R. & Purvis, A. Geographical variation in
predictors of mammalian extinction risk: big is bad, but only in the tropics. Ecol. Lett. 12, 538–549 (2009).
23. Faurby, S. & Svenning, J. C. A species-level phylogeny of all extant and late Quaternary extinct mammals using a novel heuristic-hierarchical Bayesian approach. Mol. Phylogenet. Evol. 84, 14–26 (2015).
24. Opie, C., Atkinson, Q. D., Dunbar, R. I. & Shultz, S. Male infanticide leads to social monogamy in primates. Proc. Natl Acad. Sci. USA 110, 13328–13332 (2013).
25. Garland, T. Jr & Ives, A. R. Using the past to predict the present: confidence intervals for regression equations in phylogenetic comparative methods. Am. Nat. 155, 346–364 (2000).
26. Goberna, M. & Verdú, M. Predicting microbial traits with phylogenies. ISME J. 10, 959–967 (2016).
27. Shaw, I. & Jameson, R. A Dictionary of Archaeology (Blackwell, 1999).28. Johnson, A. W. & Earle, T. K. The Evolution of Human Societies: From Foraging
Group to Agrarian State (Stanford Univ. Press, 2000).29. Allen, M. W. & Jones, T. L. Violence and Warfare Among Hunter–Gatherers
(Left Coast Press, 2014).30. Abrutyn, S. & Lawrence, K. From chiefdom to state: toward an integrative
theory of the evolution of polity. Sociol. Perspect. 53, 419–442 (2010).
© 2016 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.
LetterreSeArCH
MethOdSNo statistical methods were used to predetermine sample size. The investigators were not blinded to allocation during experiments and outcome assessment.Lethal aggression in mammals. To estimate lethal aggression in mammals (defined as the percentage of deaths caused by conspecifics) we compiled a database including the amount of conspecific killing observed in many species of mammals. We conducted computer searches including the words (alone or in combination): ‘mammal’, ‘mortality factors’, ‘causes of mortality’, ’infanticide’, ‘death’, ‘conspecific mortality’, ‘conspecific fighting’, ‘intraspecific aggression’ and ‘conspecific aggression’, as well as some other words related to relevant mortality factors in some mammal species, such as ‘bushmeat’, ‘road killing’ and ‘overhunting’. We pooled all sources of conspecific mortality (active and passive infanticide, intergroup aggression, cannibalism and intraspecific predation, male–male fighting during mating period, territorial defensive behaviour, maternal abandonment, accidental injury). We considered only lethal conspecific interactions, ignoring non-lethal aggression, because the recording of aggressive interactions ending in the death of any of the interacting organisms, both in humans and non-human mammals, is more precise8. We found information about more than four million deaths in the 1,024 mammal species (~ 20% of the total species) from 137 families (~ 80% of total families) and the three main extant mammalian clades (Prototheria, Metatheria and Eutheria) (Supplementary Information section 9a). We obtained information from several studies in order to incorporate the intraspecific variability in lethal aggression for each mammal species. For each mammal included in our database, we recorded its territoriality (yes or no) and social behaviour (social or solitary) using information compiled in the Animal Diversity Web (http://www. animaldiversity.org).Mammal phylogeny. The phylogenetic relationship between the mammals included in the database was built using Fritz et al.22 and Faurby and Svenning23 phylogenies, which are updated phylogenies of the supertree of Bininda-Emonds et al.31, to account for the more recent mammalian taxonomy of Wilson and Reeder32. First, we used the phylogeny provided by Fritz et al.22 including 5,020 extant mammals. Afterwards, we used a set of 100 phylogenies provided by Faurby and Svenning23 that contains 5,747 extant and extinct mammals (including species with dated records from the Late Pleistocene, defined as the last 130,000 years). Using this set of phylogenies, we were able to incorporate phylogenetic uncertainty in all our analyses. In each phylogeny we pruned all species not included in the database and, in the few cases in which a species was missing in the supertree, we selected the closest relative (usually, a congeneric species, see Supplementary Information section 9a). Mortality data about subspecies were pooled at the species level.
We performed additional analyses with the inclusion of H. neanderthalensis because: i) close relatives of modern humans can be very informative to estimate their phylogenetically shared traits, and ii) including fossils in the phylogeny results in more reliable ancestral state reconstructions33. The Faurby and Svenning22 phylogeny includes H. neanderthalensis. However, the Fritz et al.23 phylogeny only contains extant species. For this reason, we grafted H. neanderthalensis into this latter phylogeny, indicating an evolutionary divergence from H. sapiens 0.43 million years ago (Mya)34 and extinction 0.028 Mya35. Although these dates are contested36, variations of a few thousand years did not significantly alter the phylogenetic prediction of human lethal violence. For example, when time of divergence was changed to 0.23 Mya, the mean prediction remained the same but with a slightly higher confidence interval. The level of lethal violence in H. neanderthalensis was obtained from multiple sources (see Supplementary Information section 9b).Lethal violence in humans. To estimate lethal violence in humans (defined as the percentage of people that died owing to interpersonal violence) we compiled information from almost 600 human populations and societies spanning from the Palaeolithic to the present (Supplementary Information section 9c). Because of the extremely wide temporal range, we obtained information derived from very disparate sources, namely bioarchaeological and palaeo- osteological reports, ethnographic records, statistical yearbooks and verbal autopsies (a method to determine probable causes of death when no medical record or formal medical attention is available; they are performed by non-medical field workers, recording written narratives from reliable informants in local languages that describe the events that preceded the death). Owing to this heterogeneity, and because our goal was to compare the level of lethal violence in humans with the level of lethal aggression in mammals, we did not differentiate the specific causes of intraspecific mortality. Rather, we pooled together the deaths caused by war, homicide, manslaughter, infanticide, sacrifice, cannibalism and so on, without differentiating whether lethal events involved only one perpetrator or were coalitional and collective killings. Although it is worth investigating how specific types of violence have evolved in humans, we could not explore this issue because some types of violence have been insufficiently studied, both in non- human mammals (for example, inter-group aggression in social mammals other than chimpanzees) and humans (for example, infanticide in historical
societies). Lethal violence was determined for each source using the criteria of the researchers. Ethnographic records, statistical yearbooks and verbal autopsies commonly included the casualties of the interpersonal violence. The death toll owing to interpersonal violence in bioarchaeological studies was found by following the most widely used criterion in this type of study; that is, the presence of perimortem and blade injuries as an indication of death caused by interpersonal violence8,37. This means that we did not include antemortem and healed injuries in our calculation of lethal interpersonal violence37. Nevertheless, skeletal trauma should be viewed as minimal estimates, since many injuries caused by conspecifics do not damage the bones8,38.
The samples were categorized according to their age and socio-political organization. To assign the age to each sample, we considered the periods used to divide human history according to both the New World and Old World chronologies27. Old World human societies were grouped into Paleolithic (~ 50,000–12,000 bp), Mesolithic (~ 12,000–10,200 bp), Neolithic/Calcolithic (~ 10,200–5,000 bp), Bronze Age (~ 5,300–3,200 bp), Iron Age (~ 3,200–1,300 bp) and Medieval periods (~ 1,300–500 bp). New World human societies were grouped in Archaic (~ 12,000–3,000 bp), Formative (~ 3,000–1,500 bp), Classic (~ 1,500–800 bp) and Post-Classic periods (~ 800–500 bp). From then on, we considered two further periods affecting human societies throughout the entire world, the Modern Age (~ 500–100 bp) and the Contemporary Age (~ 100 bp–present day).
We followed the widely accepted socio-political classification28,39, according to which human societies can be classified into four types: bands (small, nomadic, egalitarian groups of people, usually hunter–gatherers), tribes (small, mostly egalitarian, groups with limited social rank usually resident in permanent villages as hunter–horticulturalists), chiefdoms (stratified, hierarchical non-industrial societies usually based on kinship) and states (politically organized complex societies). To assign each sample to different socio-political and temporal categories, we relied on the information from each original source (Supplementary Information section 8c). The use of standard statistics to summarize information coming from disparate sources with extremely different sample sizes and time coverage is problematic, as has been reported40. To avoid such issues, we pooled all the samples (skeletal remains, dead individuals and so on) found during each period (see Supplementary Information section 8c for an exhaustive list of cases, samples and studies) and depicted them using box plots.Phylogenetic signal of mammal lethal aggression. The phylogenetic signal for lethal aggression was calculated using Pagel’s lambda41 that compares the similarity of the covariances among species with the covariances expected under Brownian evolution. Significant phylogenetic signal occurs when λ > 0 and may take values of either 0 < λ < 1 (indicating that close relatives resemble each other less than expected under Brownian evolution) or λ = 1 (indicating that close relatives are as similar as would be expected under Brownian motion). Values of λ > 1 (indicating that close relatives are more similar than expected by Brownian evolution) cannot be reached because the off-diagonal elements in the variance–covariance matrix cannot be larger than the diagonal elements42. To account for the possibility of a phylogenetic signal higher than expected under Brownian motion, we also calculated Blomberg’s K (that is, the ratio between the observed phylogenetic signal and that expected under a Brownian evolution model)43. This phylogenetic signal metric is not restricted in its upper limit, and ranges from 0 (no phylogenetic signal) to infinity, with K = 1 indicating Brownian evolution. Statistical significance of Pagel’s λ was calculated through a likelihood ratio test, comparing the likelihood of the model that was fitted to the data to that of a model in which λ was fixed to 0. Significance of Blomberg’s K was calculated through a randomization test from a null model constructed with 1,000 random permutations of the data across the tips of the mammal tree. Both tests were performed using the R package ‘phytools’44. The level of phylogenetic signal of lethal aggression in mammals measured as Blomberg’s K (K = 0.09) was significantly higher than 0 (P = 0.013) and lower than 1 (P ≪ 0.001). This indicates that close relatives tend to have similar values of lethal violence but at a level lower than would be expected under Brownian evolution. This evolutionary pattern is consistent with that shown by Pagel’s lambda (λ = 0.60) and therefore only this metric is shown in the main text. The evolution of lethal aggression throughout the phylogeny of mammals was estimated using stochastic mapping as implemented in the R package ‘phytools’44. Lethal aggression was logit-transformed before all analyses.Effect of territoriality and sociability on mammal lethal aggression. To examine which factors explained the level of lethal aggression in mammals, we performed a phylogenetic generalized-least-squares (PGLS) model45, with lethal aggression (logit-transformed) as the dependent variable and territoriality and sociability as independent variables. PGLS takes into account the phylogenetic signal in the residuals of the model fitted to the data45. To account for the intraspecific variability in lethal aggression, for each of the 1,024 mammal species, we generated a normal distribution of lethal aggression values with their empirically observed means and standard errors. To control for potential biases produced by between-study
© 2016 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.
Letter reSeArCH
31. Bininda-Emonds, O. R. P. et al. The delayed rise of present-day mammals. Nature 446, 507–512 (2007); Corrigendum 456, 274 (2008).
32. Wilson, D. E. & Reeder, D. M. Mammal Species of the World: a Taxonomic and Geographic Reference, 2nd–3rd edn. (Smithsonian Institution Press / John Hopkins Univ. Press, 1993–2005).
33. Finarelli, J. A. & Flynn, J. J. Ancestral state reconstruction of body size in the Caniformia (Carnivora, Mammalia): the effects of incorporating data from the fossil record. Syst. Biol. 55, 301–313 (2006).
34. Finlayson, C. et al. Late survival of Neanderthals at the southernmost extreme of Europe. Nature 443, 850–853 (2006).
35. Arsuaga, J. L. et al. Neandertal roots: Cranial and chronological evidence from Sima de los Huesos. Science 344, 1358–1363 (2014).
36. Hublin, J. J. The origin of Neandertals. Proc. Natl Acad. Sci. USA 106, 16022–16027 (2009).
37. Mays, S. The Archaeology of Human Bones (Routledge, 2010).38. Milner, G. R. Nineteenth-century arrow wounds and perceptions of prehistoric
warfare. Am. Antiq. 70, 144–156 (2005).39. Service, E. R. Profiles in Ethnology (Harpercollins College Div., 1963).40. War, peace, and human nature: the Convergence of Evolutionary and Cultural
Views (ed. Fry, D. P.) (Oxford Univ. Press, 2013).41. Pagel, M. Inferring the historical patterns of biological evolution. Nature 401,
877–884 (1999).42. Münkemüller, T. et al. How to measure and test phylogenetic signal. Methods
Ecol. Evol. 3, 743–756 (2012).43. Blomberg, S. P., Garland, T. Jr & Ives, A. R. Testing for phylogenetic signal in
comparative data: behavioral traits are more labile. Evolution 57, 717–745 (2003).
44. Revell, L. J. phytools: an R package for phylogenetic comparative biology (and other things). Methods Ecol. Evol. 3, 217–223 (2012).
45. Freckleton, R. P., Harvey, P. H. & Pagel, M. Phylogenetic analysis and comparative data: a test and review of evidence. Am. Nat. 160, 712–726 (2002).
46. Orme, A. D. et al. caper: Comparative analyses of phylogenetics and evolution in R (v.0.5.2). https://cran.r-project.org/web/packages/caper/index.html (2013).
47. Martins, E. P. & Hansen, T. F. Phylogenies and the comparative method: a general approach to incorporating phylogenetic information into the analysis of interspecific data. Am. Nat. 149, 646–667 (1997).
48. Kembel, S. W., Wu, M., Eisen, J. A. & Green, J. L. Incorporating 16S gene copy number information improves estimates of microbial diversity and abundance. PLOS Comput. Biol. 8, e1002743 (2012).
49. Nunn, C. & Zhu, L. in Modern Phylogenetic Comparative Methods and their Application in Evolutionary Biology (ed. Garamszegi, L. Z.) 481–514 (Springer, 2014).
50. Piñeiro, G., Perelman, S., Guerschman, J. P. & Paruelo, J. M. How to evaluate models: observed vs. predicted or predicted vs. observed? Ecol. Modell. 216, 316–322 (2008).
51. Brand, S. J. Systema Naturae 2000. The Taxonomicon (Amsterdam, 2005).
differences in sample size, the means and standard errors that were used to generate the random distributions were first weighted by the number of individuals included in each study. We then ran the analysis 100 times, randomly sampling each time a value from each of the 1,024 normal distributions. When a species was represented by a single value, we used as its standard error the across- species average of standard errors. The analyses were run with the help of the PGLS command in the R package ‘caper’46.Phylogenetic estimation of human lethal violence. Phylogenetic trait estimation techniques were used to obtain the lethal violence level for H. sapiens as a function of its position in the mammal phylogeny. These techniques take advantage of ancestral state estimation methods to predict traits of extant species25,47. The trait value of the focal species can be estimated as the ancestral node of the tree rerooted at the most recent common ancestor of the focal species and the rest of the tree48,49. The trait value estimated with this ancestral estimation method is the same as that provided by the intercept of a PGLS performed on the same tree. However, PGLS allows us to simultaneously include the level of the phylogenetic signal and other traits as covariates to improve the phylogenetic estimation of the study trait25. Following this approach, we also estimated human lethal violence with the help of a PGLS approach with territoriality and sociability as covariates and the phylogenetic information of the mammal tree rooted in the node where H. sapiens diverged from the rest of the mammals. The target species must be excluded from the analysis to estimate the PGLS parameters. Four PGLS models were fitted to our data: (i) without covariates and without H. neanderthalensis; (ii) with territoriality and sociability as factorial covariates but without H. neanderthalensis; (iii) without covariates and with H. neanderthalensis; and (iv) with territoriality and sociability as factorial covariates and with H. neanderthalensis. In all models, the dependent variable was logit-transformed and its variance was included using the approach explained in the previous section.Lethal aggression in main ancestral nodes of the human lineage. We estimated levels of lethal aggression in the most recent common ancestor of six important clades defining the course of the evolutionary history of humans: the class Mammalia, the infraclass Placentalia (placental mammals), the superorder Euarchontoglires or Supraprimates (primates, tree-shrews, colugos, rodents and hares), the grandorder Euarchonta (primates, colugos and tree-shrews), the order Primates (primates) and the superfamily Hominoidea (apes). Lethal aggression in these ancestral nodes was inferred using the same analytical approach as that used to estimate lethal violence in humans.Accuracy of the estimation of mammal lethal aggression from the PGLS. The accuracy of trait-estimation in a particular species increases with the level of phylogenetic signal of the study trait25. To test for the accuracy of our models under the observed phylogenetic signal, we used leave-one-out cross-validations with the whole mammalian data set in Supplementary Information section 9a. We inferred the level of lethal violence (logit-transformed) for each mammal species with the PGLS procedure and compared it with its actual value. We first examined the relationship between the estimated and observed lethal violence values50 and subsequently calculated the proportion of species for which the actual value fell inside the 95% confidence interval of the estimated trait (Supplementary Information section 2).Effect of sampling effort on the estimation of human lethal violence. To check whether the estimates of conspecific-mediated human mortality were influenced by inappropriate or insufficient sampling, we repeated all analyses considering the subset of mammalian species with more than 50 observations (n = 645 mammals). We performed PGLS analysis to test whether territorial and social behaviour still influence the level of lethal aggression (logit-transformed) for this subset of well- sampled species. Afterwards, we calculated the conspecific-mediated human mortality using this subset of well-sampled mammals (Supplementary Information section 4).Effect of phylogenetic depth on the estimation of human lethal violence. To check whether the estimates of conspecific-mediated human mortality were influenced by the depth of the phylogeny, we repeated these analyses by progressively including deeper nodes to obtain the estimate and the 95% confidence intervals using the PGLS model without covariates. We considered the following hierarchically nested clades, from shallower to deeper: Homininae, Hominidae, Hominoidea, Catarrhini, Simiiformes, Haplorrhini, Primates, Primatomorpha, Euarchonta, Euarchontoglires, Boreoeutheria, Eutheria, Theriiformes and Mammalia51. We are aware that moving from shallower to deeper nodes means including an increasing number of species in the analyses (for example, we have only four Homininae but 1,022 Theriiformes in our phylogeny). To subsequently check whether the increasing number of species has any effect on the 95% confidence intervals, we repeated all analyses with random-pruned phylogenies equalling the number of species included in each of the clades described here (50 random phylogenies per clade) (Supplementary Information section 5).Effect of phylogeny size on the estimation of human lethal violence. To check whether the estimates of conspecific-mediated human mortality were influenced
by the size of the phylogeny, we repeated these analyses with the progressive inclusion of more species in the phylogenies. Specifically, we estimated human lethal violence and its 95% confidence interval in 50 randomly generated phylogenies with 100, 200, 300, 400, 500, 800, 900 and 1,000 spp., using the PGLS model without covariates. Afterwards, we contrasted these values with the level of human lethal violence obtained using the empirical phylogeny, checking whether smaller phylogenies departed from empirical results more strongly than larger phylogenies (Supplementary Information section 6).Statistical difference between phylogenetically estimated lethal violence in humans and ancestral nodes. We have checked whether the level of lethal violence phylogenetically inferred in humans is different from the lethal aggression inferred for the main ancestral nodes using t-tests. The phylogenetic estimates of both lethal violence in humans and lethal aggression in ancestral mammals were obtained by joining the 100 values obtained for each of the four PGLS models (with and without covariates and with and without H. neanderthalensis) and the two mammalian phylogenies used (Fritz et al.22 and Faurby and Svenning23 phylogenies). We subsequently tested, by means of t-tests, whether these two distributions differed. Because we repeated the same test six times (once per ancestral node), we corrected all P values by means of sequential Bonferroni corrections.Statistical difference between observed and phylogenetically estimated lethal violence. For each temporal period and socio-political organization, we randomly sampled a given value of observed mortalities from a normal distribution with the same mean and standard error and compared it with a randomly sampled, phylogenetically estimated value. The phylogenetically estimated values were obtained by joining the 100 values obtained for each of the four PGLS models (with and without covariates and with and without H. neanderthalensis) and the two mammalian phylogenies (Fritz et al.22 and Faurby and Svenning23 phylogenies). We repeated these paired comparisons 800 times, and recorded the proportion of times where the observed values were higher or lower than the phylogenetically estimated values. We subsequently tested, by means of binomial tests, whether this proportion differed from the randomly expected deviation. We ran each binomial test 1,000 times and retained the average P values and deviance from the expected value. All P values shown underwent sequential Bonferroni correction.
© 2016 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.
LetterreSeArCH
extended data table 1 | Outcome of the phylogenetic generalized linear model testing the effect of territoriality and social behaviour on the magnitude of lethal aggression in mammal species (n = 1,024 species)
We performed this analysis using the mammalian phylogeny provided by Fritz et al.22 and 100 mammalian phylogenies provided by Faurby and Svenning23. In this latter case, we show the across-phylogeny mean of each statistical parameter. Lethal aggression was logit-transformed before all analyses.
© 2016 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.
Letter reSeArCH
extended data table 2 | Outcome of the t-tests assessing difference between the inferred value of lethal violence at each of the chosen ancestral nodes in the mammalian phylogeny and the phylogenetic estimates of human lethal violence
We compared the lethal aggression of the ancestral nodes with the magnitudes of lethal violence obtained according to the four PGLS models (with and without covariates and with and without H. neanderthalensis) and the two mammalian phylogenies (Fritz et al.22 and Faurby and Svenning23 phylogenies) using a t-test. Significance after sequential Bonferroni correction at α = 0.05.
© 2016 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.
LetterreSeArCH
extended data table 3 | Outcome of the binomial tests assessing difference between the observed lethal violence in human societies and the inferred lethal violence according to the phylogenetic analysis
We compared the observed lethal violence of each type of human society with the magnitudes of lethal violence obtained according to the four PGLS models (with and without covariates and with and without H. neanderthalensis) and the two mammalian phylogenies (Fritz et al.22 and Faurby and Svenning23 phylogenies). Each binomial test was run 1000 times. Significance after sequential Bonferroni correction at α = 0.05.
© 2016 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.