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Abstract

Anthropogenic noise pollution is increasing and can constrain acoustic communication in animals. Our aim was to investigate if the acoustic parameters of loud calls and their diurnal pattern in the black-fronted titi monkey (Callicebus nigrifrons) are affected by noise produced by mining activity in a fragment of Atlantic Forest in Brazil. We installed two passive acoustic monitoring devices to record sound 24 h/day, 7 days every 2 months, for a year; one unit was close to an opencast mine and the other 2.5 km away from it. Both sites presented similar habitat structures and were inhabited by groups of black-fronted titi monkeys. We quantified the noise at both sites by measuring the equivalent continuous sound level every 2 months for 1 year and quantified the emission of loud calls by titi monkeys through visual inspection of the recordings. The close site presented higher ambient noise levels than the far site. The quantitative comparison of loud calls of black-fronted titi monkeys between the two sites showed less calling activity in the site close to the mine than in the site further away. Approximately 20 % of the calls detected at the site close to the mine were masked by noise from truck traffic. Loud calls were longer at the site far from the mine and the diurnal patterns of vocal activity differed in the amount of calling as well as in the timing of peak calling activity between the two sites. Our results indicate that mining noise may constrain titi monkeys’ long-distance vocal communication. Loud calls occupy a similar frequency band to mining noise, and an increase in ambient noise may be triggering black-fronted titi monkeys to adjust their long-distance communication patterns to avoid masking of their calls. Given that vocalizations are an important means of social interaction in this species, there are concerns about the impact of mining noise on populations exposed to this human activity.
ORIGINAL ARTICLE
Mining noise affects loud call structures and emission patterns
of wild black-fronted titi monkeys
M. H. L. Duarte
1,2
M. C. Kaizer
1,3
R. J. Young
3
M. Rodrigues
2
R. S. Sousa-Lima
4
Received: 20 April 2016 / Accepted: 15 August 2017
ÓJapan Monkey Centre and Springer Japan KK 2017
Abstract Anthropogenic noise pollution is increasing and
can constrain acoustic communication in animals. Our aim
was to investigate if the acoustic parameters of loud calls
and their diurnal pattern in the black-fronted titi monkey
(Callicebus nigrifrons) are affected by noise produced by
mining activity in a fragment of Atlantic Forest in Brazil.
We installed two passive acoustic monitoring devices to
record sound 24 h/day, 7 days every 2 months, for a year;
one unit was close to an opencast mine and the other
2.5 km away from it. Both sites presented similar habitat
structures and were inhabited by groups of black-fronted
titi monkeys. We quantified the noise at both sites by
measuring the equivalent continuous sound level every 2
months for 1 year and quantified the emission of loud calls
by titi monkeys through visual inspection of the recordings.
The close site presented higher ambient noise levels than
the far site. The quantitative comparison of loud calls of
black-fronted titi monkeys between the two sites showed
less calling activity in the site close to the mine than in the
site further away. Approximately 20 % of the calls detected
at the site close to the mine were masked by noise from
truck traffic. Loud calls were longer at the site far from the
mine and the diurnal patterns of vocal activity differed in
the amount of calling as well as in the timing of peak
calling activity between the two sites. Our results indicate
that mining noise may constrain titi monkeys’ long-dis-
tance vocal communication. Loud calls occupy a similar
frequency band to mining noise, and an increase in ambient
noise may be triggering black-fronted titi monkeys to
adjust their long-distance communication patterns to avoid
masking of their calls. Given that vocalizations are an
important means of social interaction in this species, there
are concerns about the impact of mining noise on popula-
tions exposed to this human activity.
Keywords Animal communication Mining activity
Noise pollution Social behavior Sound masking
Introduction
Noise pollution is known to affect the physiology and
behavior of many animal species (Warren et al. 2006;
Kight and Swaddle 2011). Studies have shown that animals
avoid foraging in noisy areas (Schaub et al. 2008), increase
their vigilance in the presence of noise (Delaney et al.
&M. H. L. Duarte
marinabioacustica@hotmail.com
M. C. Kaizer
marikaizer@hotmail.com
R. J. Young
r.j.young@salford.ac.uk
R. S. Sousa-Lima
sousalima.renata@gmail.com
1
Conservation, Ecology and Animal Behaviour Group-
Laboratory of Bioacoustics, Post-Graduate Program in
Vertebrate Biology and Museum of Natural Sciences,
Pontifical Catholic University of Minas Gerais, Avenida Dom
Jose
´Gaspar, 290, Bairro Corac¸a
˜o Eucarı
´stico,
Belo Horizonte, Minas Gerais 30535-901, Brazil
2
Laboratory of Ornithology, Department of Zoology, Federal
University of Minas Gerais, Avenida Presidente Anto
ˆnio
Carlos, 6627, Bairro Pampulha, Belo Horizonte,
Minas Gerais 31270-901, Brazil
3
School of Environment and Life Sciences, Peel Building,
University of Salford Manchester, Salford M5 4WT, UK
4
Laboratory of Bioacoustics (LaB), Department of Physiology
and Behavior, Federal University of Rio Grande do Norte,
Avenida Senador Salgado Filho, 3000, Bairro Lagoa Nova,
Natal, RN 59078-970, Brazil
123
Primates
DOI 10.1007/s10329-017-0629-4
1999; Karp and Root 2009), select quiet areas to perform
their daily activities (Sousa-Lima and Clark 2009, Duarte
et al. 2011) and can be distracted by noise, all of which can
increase the risk of predation (Chan et al. 2010). Noise can
also cause physiological stress (Campo et al. 2005; Kight
and Swaddle 2011) and impact on ecological aspects of the
lives of animals such as population distribution (Reijen
et al. 1998; Bejder et al. 2006), species abundance (Bayne
et al. 2008) and diversity (Proppe et al. 2013).
Acoustic communication is essential in the lives of
many species as they use such signals to exchange bio-
logically relevant information; for example, to recognize
reproductive partners (Brumm et al. 2009), to inform others
of their location and/or the type of predator (Chan et al.
2010;Ca
¨sar et al. 2012) and to defend resources (Zuber-
buehler et al. 1997). However, anthropogenic noise com-
monly impacts animal communication (Slabbekoorn and
Ripmeester 2008; Barber et al. 2009; Laiolo 2010). Noise
can interfere with the propagation and detection of signals
by masking animal sounds and thus, prevent effective
communication (Foote et al. 2004; Bee and Swanson
2007). Nonetheless, many studies have documented that
animals use a range of vocal adjustments to minimize the
immediate impact of noise on communication systems.
These adjustments include: frequency shifts (Slabbekoorn
and Peet 2003; Parks et al. 2007; Nemeth and Brumm
2009), changes in amplitude (Brumm 2004; Brumm et al.
2009; Hage et al. 2013), calling rate (Sun and Narins 2005),
number of notes (Slabbekoorn and Boer-Visser 2006),
timing (Fuller et al. 2007), and duration of calls (Brumm
et al. 2004). The direct impact of noise on animal beha-
viour and ecology, and incidental costs of maintaining an
efficient communication system through compensatory
mechanisms, can impose fitness costs on affected individ-
uals (senders and receivers) and consequently on their
survival and reproduction (Chan et al. 2010; Schroeder
et al. 2012), and lead to population and community-level
changes (Parks et al. 2007; Duarte et al. 2015).
Besides the effects of deforestation caused by mining,
one less obvious impact on wildlife is the noise it produces
(Alvarez-Berrı
´os and Aide 2015; Duarte et al. 2015). The
effects of noise on primates that rely on acoustic commu-
nication need to be better studied to understand its impact
and to raise the awareness of stakeholders to mitigate its
potentially deleterious effects.
Many of the forests inhabited by primates in South
America suffer from large-scale mining (Estrada 2009).
The black-fronted titi monkey (Callicebus nigrifrons)is
one of the primates affected by these activities. Black-
fronted titi monkey are endemic to Atlantic Forest and
classified as Near Threatened on the International Union
for Conservation of Nature’s Red List (Veiga et al. 2008).
Titi monkeys are socially monogamous and exchange loud
calls (as duets or chorus) to either defend territories or food
resources in their home ranges and, probably, for mate
defense. Thus, these vocalizations are important regulators
of their social behaviour (Robinson 1979; Caselli et al.
2014). Coordinated loud calls are typically emitted at
dawn, but also during the day when another group is
sighted or heard (Kinzey et al. 1977; Kinzey and Robinson
1983; Melo and Mendes 2000). For black-fronted titi
monkeys, loud calls are emitted more often from their core
area or near to important food resources in their home
range (Caselli and Setz 2011; Caselli et al. 2014; Santos
et al. 2012; Santos 2012).
Loud calls of black-fronted titi monkeys are character-
ized by different vocal units including components that
range from near 1 to 12 kHz, and with a low frequency
near to 1 kHz (Caselli et al. 2014). Due to the spectral
characteristics of loud calls of titi monkeys, such as high
amplitude and low frequency, they can be heard over long
distances (Melo and Mendes 2000; Caselli et al. 2014).
Unfortunately, the same acoustic characteristics that are
adaptive for long-distance communication mean that these
calls have to compete with mining noise. In this study, we
investigated how the noise produced by one of the largest
opencast mines in the world affects the acoustic commu-
nication of a population of C. nigrifrons in an Atlantic
Forest fragment in southeast Brazil. We tested whether the
emission rate, duration and diurnal pattern of loud calls
would change between the areas exposed to different
ambient noise levels: one area close to an opencast mine
and one further away. Considering that animals would try
to optimize communication among neighboring groups by
minimizing the temporal overlap of their calls with noise
resulting from the mining activity, we predicted that titi
monkeys living in the fragment close to the mine would:
(1) reduce their call emission rate, (2) decrease the mean
call duration, and (3) alter the timing of their natural
diurnal calling pattern to avoid masking when noise from
the mine was most prevalent.
Methods
Study area
This study was conducted at Peti Environmental Station,
which is located in an Atlantic Forest fragment of
approximately 605 ha. The reserve is located in the upper
Rio Doce Basin (altitude range 630–806 m) in the
municipalities of Sa
˜o Gonc¸alo do Rio Abaixo and Santa
Ba
´rbara, Minas Gerais State, Brazil (19°5305700 S and
43°2200700W), one of the most fragmented Atlantic Forest
regions of Brazil (Machado and Fonseca 2000). Peti
Environmental Station harbors approximately 46 species of
Primates
123
mammals (Paglia et al. 2005), 231 species of birds (Faria
et al. 2006) and 29 species of anurans (Bertoluci et al.
2009). The climate is moderately humid subtropical, with
an average annual temperature of 21.7 °C (Paglia et al.
2005). The rainfall patterns are strongly seasonal with
110-mm mean rainfall, mean temperature of 23.9 °C and
61.9% humidity in the rainy season (October–March), and
with a dry season from April to September with 13-mm
mean rainfall, mean temperature of 18 °C and 58.1%
humidity.
A large part of the reserve is covered by secondary
arboreal vegetation, and is surrounded by a matrix mainly
composed of Eucalyptus, small cattle farms and areas of
exposed soil due to the activities of the Brucutu mine.
Mining activity occupies an area of approximately 8 km
2
and produces noise through road traffic, heavy machinery,
sirens and explosions during the day and night (Roberto
2010).
Data collection
One autonomous sound recorder (Song Meter SM2;
Wildlife Acoustics) was installed at two points inside the
protected area, each point located inside the home ranges
of two different groups of titi monkeys. One of these
groups inhabited a forest fragment with an area of 81 ha
close to an opencast iron mine (close site). The song meter
at this site was installed at a distance of 100 m from the
road that provided access to the mine (Fig. 1). The other
focal group inhabited a 84-ha forest fragment 2500 m away
from the mine (far site). In order to control for a potential
border effect, the song meter at this site was installed
100 m away from a low traffic road.
The average home range for black-fronted titi monkeys
is around 20 ha (Santos et al. 2012; Santos 2012; Caselli
et al. 2014), and the species shows site fidelity (Bicca-
Marques and Heymann 2013). Although the density of titi
monkeys in each site was unknown, other localities of
similar size have population densities ranging from 2.3 to
7.5 groups/km
2
(Gestich et al. 2016). There are geographic
barriers (roads and a river) that probably isolated these two
monkey groups, which inhabited similar forest fragments.
Both fragments are of similar size, floristic composition
and habitat structure, so we assume that the acoustic range
of titi monkey calls in both is the same.
The loud calls of titi monkeys can be detected up to
500 m away, with a critical distance of about 250–350 m
(Robinson 1981). The passive acoustic monitoring devices
were programmed to record for 7 days every 2 months
from October 2012 to August 2013, comprising six ses-
sions and totaling 1092 h of recordings (two sites 9six
sessions 913 h covering the animals’ active period from
0500 to 1800 hours 97 days). Each SM2 was fixed to a
tree 1.5 m above the ground, leaving the two lateral
microphones free from interference from any obstacle to
incoming sound waves. They were configured to record in
.WAV format at a sampling rate of 44,100 Hz, at 16 bits,
and with a 36% microphone gain. This configuration has
been recommended for optimal recordings of soundscapes
in the Atlantic Forest (Pieretti et al. 2015) and covers the
frequency range of Callicebus calls.
Fig. 1 Satellite images showing the two sites close to and far from the Brucutu mine (brown and grey area) at Peti Environmental Station,
southeast Brazil. Red lines represent the geographic barriers surrounding each site
Primates
123
In order to infer the level of noise exposure, the ambient
sound pressure levels (equivalent continuous sound level)
were measured on the A curve using a B&K2270 (Den-
mark) sound level meter. The sound pressure level mea-
surements were calculated based on 20-min intervals
randomly spaced between 0600 and 1800 hours, at both
sites simultaneously, on week days, once every 2 months,
for 10 months.
The truck traffic noise in the mine area was very intense,
occupying 70% of the frequency bandwidth recorded
(0–22 kHz) and 16% of the daytime (Duarte et al. 2015).
This important source of sound pollution varies over the
day with intervals of lower noise levels (Vargas-Salinas
et al. 2014). To quantify the disturbance from truck traffic,
we counted all instances of noise generated by passing
trucks from 0500 to 1800 hours on the road in front of the
site close to the mine. Hourly counts were done by audio
and visual identification of the trucks’ broadband pattern in
spectrograms (fast Fourier transform 1024 points, filter
bandwidth 135 Hz; frequency resolution, 93.8 Hz; grid
time resolution 2.13 ms) generated in Raven Pro 1.5
(Cornell Lab of Ornithology, Ithaca, NY). Statistical
analyses were performed in Statistica version 8.0 with a
significance level of 0.05.
This research adhered to the Brazilian legal require-
ments for field research (permit 034/2012) and to the
American Society of Primatologists Principles for the
Ethical Treatment of non-Human Primates.
Data analyses
The sound pressure level measurements were analyzed by
using BZ 5503 software. In order to avoid bias in the
measured sound pressure levels we excluded all recordings
in which we verified high received levels of animal sounds.
A Mann–Whitney U-test was used to verify if there was a
significant difference in the ambient noise pressure levels
between the sites.
We used three parameters to characterize the titi mon-
keys’ vocal behaviour between the sites: call emission rate,
call duration, and diurnal calling pattern. These parameters
were chosen based on previous studies on the effects of
anthropogenic noise on other species (Brumm et al. 2004;
Sun and Narins 2005). Loud calls emission rates of black-
fronted titi monkeys were calculated based on manual,
individual call detections per hour on spectrograms gen-
erated in Raven Pro 1.5 software (Cornell Lab of
Ornithology). Call durations were extracted using the delta
time measurement in the same software. The diurnal pat-
tern of titi monkeys’ vocal behaviour in each site was
determined from the temporal distribution of the number of
loud calls emitted from 0500 to 1800 hours and plotted
using the software Oriana (Kovach Computing Services,
Anglesey, UK) for circular data.
We used a v
2
-test to compare the observed rates of loud
calls of black-fronted titi monkeys in the close site and the far
site, considering the same expected frequency. We per-
formed a Mann–Whitney U-test to evaluate if there were
significant differences in loud call durations between the two
sites. A Friedman test was used to verify if there were dif-
ferences in calling rate between the hours of the day.
Results
Equivalent ambient sound levels (noise) were significantly
louder at the site close to the mine (Mann–Whitney U-test,
U=1, Z=2.72, n=6, P\0.01) (Table 1). Black-fron-
ted titi monkeys emitted more loud calls than expected at the
site far from the mine and less than expected at the close site
(X
2
-test, X
2
=339.96, df =1, P\0.001,n
close
=187,
n
far
=752). A considerable part (20.32%) of the vocalisa-
tions in the site close to the mine were partially masked by
noise from mining activity; however, visual and aural
inspection of the spectrograms still allowed for the detection
and identification of calls (Fig. 2b).
Loud calls were significantly longer at the site far from the
mine (Mann–Whitney U-test, U=29142.5, Z=12.40,
n
close
=187, n
far
=752, P\0.01; median
close
=1.77 s,
median
far
=16.33 s). The temporal distribution pattern of
the vocalisations was also different between the two sites
(Fig. 3). There were significant differences in calling rate
among the hours of the day in both sites, but not for truck
traffic events (Friedman test, X
2
=42.259, df =13,
P\0.001, n
far
=6; X
2
=40.915, df =13, P\0.001,
n
close
=6; X
2
=13.096, df =12, P=0.362, n
truck
=6).
At the site far from the mine, titi monkeys were more vocally
active early in the morning (0600–1000 hours), while at the
site close to the mine their vocal activity was very low, and
even lower after 1400 hours, which coincided with one of the
peaks in truck traffic at that site (Fig. 3). The period of higher
Table 1 Sound pressure levels (equivalent continuous sound level;
Leq) at sites close to and far from an opencast mine near Peti Envi-
ronmental Station, southeast Brazil
Measurement Close
Leq dB(A)
Far
Leq dB(A)
1 42.6 33.8
2 38.7 30.3
3 42.0 30.1
4 60.9 37.2
5 42.9 38.8
6 41.2 33.3
Primates
123
emission of loud calls at the site far from the mine (quieter
site) coincided with one of the peaks in truck traffic at the site
close to the mine (0700 hours) (Fig. 3).
Discussion
Our results show that titi monkey vocal activity is lower
and calls are shorter at the site close to the mine where
ambient noise levels are higher. Diurnal calling distribution
is also different between the two sites, with early morning
peak calling activity at the far site and no such peak at the
site close to the mine.
The higher rate of loud calls found at the site far from the
mine could be explained by several non-exclusive hypotheses:
1. More titi monkey groups are present at the far site.
2. There are more encounters between titi groups at the
site far from the mine.
3. Titi monkeys from the site close to the mine may
reduce their vocal emission rate due to noise.
4. Masking may decrease the detection of vocal activity
at the site close to the mine.
Fig. 2a, b Sound spectrograms of loud calls of black-fronted titi
monkeys at Peti Environmental Station southeast Brazil. aHigh-
quality, non-masked calls, at the site far away from the mine; bloud
calls partially masked by the noise of mining activities. Spectrograms
were generated using Raven Pro 1.5 with a fast Fourier transform of
1024 points, filter bandwidth 135 Hz, frequency resolution 93.8 Hz
and grid time resolution 2.13 ms
Primates
123
Opportunistic observations of titi monkey groups were
common in both sites during this study. During these non-
systematic observations, we identified similar numbers of
groups and individuals at both sites, which suggests that
hypotheses 1 and 2 are less likely. Habitat type and area
were similar, and while there were probably some differ-
ences between the sites, these were unlikely to affect the
rate of loud calls. A decrease in animal call rate in the
presence of increased ambient noise has already been
established for anurans and other mammals, and interpreted
as a response to avoid interference from anthropogenic
noise (Miksis-Olds and Tyack 2009; Sun and Narins 2005;
Parks et al. 2007; Sousa-Lima and Clark 2008).
Additionally, at the site close to the mine, many loud calls
(20%) were partially masked by noise, thereby supporting
hypotheses 3 and 4 which suggest that increased noise levels
may prevent titi monkeys from communicating effectively
(Lohr et al. 2003; Foote et al. 2004; Bee and Swanson 2007).
One particularly important factor driving vocalization effort
is the range over which the signaler and receiver must
effectively communicate (Miksis-Olds and Tyack 2009). In
this context, when noise masks vocalisations there is a
decrease in the acoustic space over which the information
can spread.
Longer calls emitted at the site far from the mine were in
accordance with our original prediction (2). In contrast,
common marmosets Callithrix jacchus increase the dura-
tion and amplitude of their calls as noise levels rise
(Brumm et al. 2004). This difference in response to
increased noise level might be related to the temporal
distribution of the noise. Adjusting vocal behaviour to
shorter calls during exposure to broadband noise that
occupies a significant spectral band, but is not continuous
in time (providing short windows of opportunity to call),
may decrease the probability of masking (Leo
´n et al. 2014;
Slabbekoorn and den Boer-Visser 2006). Our results sug-
gest that there is more available acoustic space at the far
site, especially in the lower frequencies, which are natu-
rally used by titi monkeys. At the close site, noise from the
mine overlapped with the titi monkeys’ loud calls and
could have been excluding them from an acoustic niche.
Thus, the monkeys are probably emitting calls of shorter
duration to communicate more effectively and/or to save
energy, since acoustic communication is energetically
00:00
06:00
12:00
18:00
250 250
250
250
200 200
200
200
150 150
150
150
100 100
100
100
50 50
50
50
truck
far
close
Fig. 3 Diurnal distribution of
the mean number of loud calls
emitted by black-fronted titi
monkeys at both sites (one close
to and the other far away from
the mine) as well as the mean
number of truck noise events
recorded by the song meters at
the site close to the mine near
Peti Environmental Station,
southeast Brazil
Primates
123
expensive and vocalization effort is increased by increasing
call duration (Miksis-Olds and Tyack 2008).
The difference in the diurnal pattern of loud calls
between the two sites can also be a consequence of the
mining noise disturbance on titi monkeys’ vocal behaviour.
As observed in other primate species such as indris
(Geissmann and Mu
¨tschler 2006) and gibbons (Mitani
1985), titi monkeys were vocally active mainly during the
first hours of the day (outside of intraspecific encounters)
(Melo and Mendes 2000; Caselli et al. 2014). These pri-
mates may concentrate the emission of loud calls in the first
hours of the morning when humidity is higher and tem-
perature lower and transmission of sound is presumed to be
more efficient (Mitani 1985; Wiley and Richards 1978). In
our study, this expected natural pattern of peak calling
activity in the early morning was observed only at the far
site. At the site close to the mine, truck traffic noise was
present at all hours of the day. In fact, at the close site we
observed a very low vocal activity throughout the entire
day apart from more calling around 1300 hours (Fig. 3).
Many mammals affected by anthropogenic noise have
limited developmental capacity to change the acoustic
parameters of their calls to avoid masking by other noise,
as seen in some birds (Weiss et al. 2014). However,
mammals may avoid the impact of noise with other
behavioral modifications, such as vocalizing during periods
of low noise (Rabin et al. 2003; Sousa-Lima and Clark
2008) or moving to quieter areas (Duarte et al. 2011).
Loud vocalisations are key signals involved in the reg-
ulation of titi monkey social behavior (Caselli et al. 2014).
One consequence of masking such calls can be increased
territory invasion by neighboring groups and, conse-
quently, increased rates of intergroup agonistic encounters.
Such changes could impact on the survival and reproduc-
tive success of the affected individuals, and result in dis-
ruption with potential population-level consequences. In
addition, studies with birds show that species that use low
frequency calls are more likely to avoid roads than those
that emit calls at higher frequencies, indicating how noise
may change the organization of avian communities
(Rheindt 2003; Francis et al. 2009). Considering there is a
similar spectral overlap between truck noise and loud calls
of titi monkeys, the avoidance of areas affected by truck
traffic noise by the monkeys may prevent their use of
suitable habitat. The black-fronted titi monkey is a Near
Threatened primate endemic to Atlantic Forest (Veiga et al.
2008) and if avoidance of suitable habitat occurs because
of noise disturbance this is of concern for this species’
conservation in the long term.
It would be interesting to investigate the natural
diurnal patterns and acoustic parameters of titi monkeys
in a gradient away from the noise source to investigate
other effects due to exposure to different noise levels.
The identification of noise levels that have decreased
disturbance effects would aid in the development of
regulations on distance between mining areas and nearby
natural areas. We have shown for the first time how
noise disturbance can affect black-fronted titi monkey
communication. We also highlight the importance of
considering noise pollution when creating reserves close
to areas with human activity (Madliger 2012). Brucutu’s
iron ore extraction started in 1992 and expansion com-
menced in 2004 to increase capacity to make it one of
the largest opencast mines in the world (Roberto 2010).
We suggest that acoustic monitoring of the mine and the
wildlife in this area should be part of the licensing
process of this mine, and should also be applied to all
other large-scale mining initiatives.
Acknowledgements We thank all the staff at the Peti Environmental
Station, especially Leotacı
´lio da Fonseca. We are also grateful to
Luane Ferreira for help with the analyses and figures, Marina Scar-
pelli and Renan Duarte for their help during data acquisition, and
engineer Krisdany Cavalcante for help with the noise measurements.
We are grateful to Martin Fisher and two anonymous reviewers for
comments on the manuscript. M. H. L. D. and M. C. K. were sup-
ported by CAPES (PNPD) and the Fundac¸a
˜o de Amparo a
`Pesquisa
de Minas Gerais (FAPEMIG/VALE). M. R., R. J. Y. and R. S. L.
received financial support from FAPEMIG/VALE and the Conselho
Nacional de Pesquisa (CNPq).
References
Alvarez-Berrı
´os NL, Aide TM (2015) Global demand for gold is
another threat for tropical forests. Environ Res Lett 10
Barber JR, Crooks KR, Fristrup KM (2009) The costs of chronic noise
exposure for terrestrial organisms. Trends Ecol Evol 25:180–189
Bayne EM, Habib L, Boutin S (2008) Impacts of chronic anthro-
pogenic noise from energy-sector activity on abundance of
songbirds in the boreal forest. Conserv Biol 22:1186–1193
Bee MA, Swanson EM (2007) Auditory masking of anuran adver-
tisement calls by road traffic noise. Anim Behav 74:1765–1776
Bejder L, Samuels A, Whitehead H, Gales N (2006) Interpreting
short-term behavioural responses to disturbance within a longi-
tudinal perspective. Anim Behav 72:1149–1158
Bertoluci J, Canelas MAS, Eisemberg CC, de Palmuti CFS,
Montingelli GG (2009) Herpetofauna of Estac¸a
˜o Ambiental de
Peti, an Atlantic Rainforest fragment of Minas Gerais State,
southeastern Brazil. Bio Neotrop 9:147–155
Brumm H (2004) The impact of environmental noise on song
amplitude in a territorial bird. J Anim Ecol 73:434–440
Brumm H, Voss K, Ko
¨llmer I, Todt D (2004) Acoustic communi-
cation in noise: regulation of call characteristics in a New World
monkey. J Exp Biol 207:443–448
Brumm H, Schmidt R, Schrader L (2009) Noise-dependent vocal
plasticity in domestic fowl. Anim Behav 78:741–746
Campo JL, Gil MG, Da
´vila SG (2005) Effects of specific noise and
music stimuli on stress and fear levels of laying hens of several
breeds. Appl Anim Behav Sci 91:75–84
Ca
¨sar C, Byrne R, Young RJ, Zuberbu
¨hler K (2012) The alarm call
system of wild black-fronted titi monkeys, Callicebus nigrifrons.
Behav Ecol Sociobiol 66:653–667
Primates
123
Caselli CB, Setz EZF (2011) Feeding ecology and activity pattern of
black-fronted titi monkeys (Callicebus nigrifrons) in a semide-
ciduous tropical forest of southern Brazil. Primates 52:351
Caselli CB, Mennill DJ, Bicca-Marques JC, Setz EZF (2014) Vocal
behavior of black-fronted titi monkeys (Callicebus nigrifrons):
acoustic properties and behavioral contexts of loud calls. Am J
Primatol 76:788–800
Chan AAY-H, Giraldo-Perez P, Smith S, Blumstein DT (2010)
Anthropogenic noise affects risk assessment and attention: the
distracted prey hypothesis. Biol Lett 6:458–461
Delaney DK, Gurbb TG, Seibr P, Pater LL, Reiser MH (1999) Effects
of helicopter noise on Mexican spotted owls. J Wildl Manage
63:60–76
Duarte MHL, Vecci MA, Hirsch A, Young RJ (2011) Noisy human
neighbours affect where urban monkeys live. Biol Lett 7:840–842
Duarte MHL, Sousa-Lima RS, Young RJ, Farina A, Vasconcelos M,
Rodrigues M, Pieretti N (2015) The impact of noise from
opencast mining on Atlantic Forest biophony. Biol Conserv
191:623–631
Estrada A (2009) Primate conservation in South America: the human
and ecological dimensions of the problem. In: Garber PA,
Estrada A, Bicca-Marques JC, Heymann EW, Strier KB (eds)
South American primates. Springer, New York, pp 463–505
Faria CM, Rodrigues M, do Amaral FQ, Mo
´dena E
´(2006) Aves de
um fragmento de Mata Atla
ˆntica no alto Rio Doce, Minas
Gerais: colonizac¸a
˜o e extinc¸a
˜o. Rev Bras Zool 23:1217–1230
Foote AD, Osborne RW, Hoelzel AR (2004) Whale-call response to
masking boat noise. Nature 428:910
Francis CD, Ortega CP, Cruz A (2009) Noise pollution changes avian
communities and species interactions. Curr Biol 19:1415–1419
Fuller RA, Warren PH, Gaston KJ (2007) Day time noise predicts
nocturnal singing in urban robins. Biol Lett 3:368–370
Geissmann T, Mu
¨tschler T (2006) Diurnal distribution of loud calls in
sympatric wild indri (Indri indri) and ruffed lemurs (Varecia
variegata): implications for call functions. Primates 47:393–396
Gestich CC, Caselli CB, Nagy-Reis MB, Setz EZF, da Cunha RGT
(2016) Estimating primate population densities: the systematic
use of playbacks along transects in population surveys. Am J
Primatol 9999:1–9
Hage SR, Jiang T, Berquist SW, Feng J, Metzner W (2013) Ambient
noise induces independent shifts in call frequency and amplitude
within the Lombard effect in echolocating bats. Proc Natl Acad
Sci USA 110:4063–4068
Bicca-Marques JC, Heymann EW (2013) Ecology and behavior of titi
monkeys (genus Callicebus). In: Veiga LM, Barnett AA, Ferrari SF,
Norconk MA (eds) Evolutionary biology and conservation of titis,
sakis, and uacaris. Cambridge University, Cambridge, pp 196–207
Karp DS, Root TL (2009) Sound the stressor: how hoatzins
(Opisthocomus hoazin) react to ecotourist conversation. Biodiv
Conserv 18:3733–3742
Kight CR, Swaddle JP (2011) How and why environmental noise
impacts animals: an integrative, mechanistic review: environ-
mental noise and animals. Ecol Lett 14:1052–1061
Kinzey WG, Robinson JG (1983) Intergroup loud calls, range size,
and spacing in Callicebus torquatus. Am J Phys Anthropol
60:539–544
Kinzey WG, Rosenberger AL, Heisler PS, Prowse DL, Trilling JS
(1977) A preliminary field investigation of the yellow handed titi
monkey, Callicebus torquatus torquatus, in northern Peru.
Primates 18:159–181
Laiolo P (2010) The merging significance of bioacoustics in animal
species conservation. Biol Conserv 143:1635–1645
Leo
´n E, Beltzer A, Quiroga M (2014) El jilguero dorado (Sicalis
flaveola) modifica la estructura de sus vocalizaciones para
adaptar se a ha
´bitats urbanos. Rev Mex Biod 85:546–552
Lohr B, Wright TF, Dooling RJ (2003) Detection and discrimination
of natural calls in masking noise by birds: estimating the active
space signal. Anim Behav 65:763–777
Machado RB, Fonseca GAB (2000) The avifauna of Rio Doce Valley,
southeastern Brazil, a highly fragmented area. Biotropica
32:914–924
Madliger CL (2012) Toward improved conservation management: a
consideration of sensory ecology. Biodivers Conserv
21:3277–3286
Melo FR, Mendes SL (2000) Emissa
˜o de gritos longos por grupos de
Callicebus nigrifrons e suas reac¸o
˜es a playbacks. In: Alonso C,
Langgut A (eds) A Primatologia no Brasil—7. Sociedade
Brasileira de Primatologia and Editora Universita
´ria, Joa
˜o
Pessoa, pp 215–222
Miksis-Olds JL, Tyack PL (2009) Manatee (Thichechus manatus)
vocalization usage in relation to environmental noise levels.
J Acoust Soc Am 125:1806–1815
Mitani JC (1985) Gibbon song duets and intergroup spacing.
Behaviour 92:59–96
Nemeth E, Brumm H (2009) Blackbirds sing higher-pitched songs in
cities: adaptation to habitat acoustics or side-effect of urbaniza-
tion? Anim Behav 78:637–641
Paglia AP, Lopes MOG, Perini FA, Cunha HM (2005) Mammals of
the Estac¸a
˜o de Preservac¸a
˜o e Desenvolvimento Ambiental de
Peti (EPDA-Peti), Sa
˜o Gonc¸alo do Rio Abaixo, Minas Gerais,
Brazil. Lundiana 6:89–96
Parks ES, Clark CW, Tyack PL (2007) Short-and long-term changes
in right whale calling behavior: the potential effects of noise on
acoustic communication. J Acoust Soc Am 122:3725–3731
Pieretti N, Duarte MHL, Sousa-Lima RS, Young RJ, Rodrigues M,
Farina A (2015) Determining temporal sampling schemes for
passive acoustic studies in different tropical environments. Trop
Conserv Sci 8:215–234
Proppe DS, Sturdy CB, St Clair CC (2013) Anthropogenic noise
decreases urban songbird diversity and may contribute to
homogenization. Glob Chang Biol 19:1075–1084
Rabin LA, McCowan B, Hooper SL, Owings DH (2003) Anthro-
pogenic noise and its effect on animal communication: an
interface between comparative psychology and conservation
biology. Int J Psychol 16:172–192
Reijen R, Foppen R, Braak CT, Thissen J (1998) The effects of car
traffic and breeding bird populations in woodland. III. Reduction
of density in relation to the proximity of main roads. J Appl Ecol
32:187–202
Rheindt FE (2003) The impact of roads on birds: does song frequency
play a role in determining susceptibility to noise pollution?
J Ornithol 144:295–306
Roberto JB (2010) Influe
ˆncia dos diversos tipos litolo
´gicos nas
operac¸o
˜es de concentrac¸a
˜o da instalac¸a
˜o de beneficiamento de
Brucutu. Master’s dissertation, Universidade Federal de Minas
Gerais (available at http://www.bibliotecadigital.ufmg.br/
dspace/handle/1843/BUOS-8DJFVY)
Robinson JG (1979) Vocal regulation of use of space by groups of titi
monkeys Callicebus moloch. Behav Ecol Sociobiol 5:1–15
Robinson JG (1981) Vocal regulation of inter- and intra-group
spacing during boundary encounters in the titi monkey, Callice-
bus moloch. Primates 22:161–172
Santos RV (2012) A
´rea de vida e uso do espac¸o por Callicebus
nigrifrons Spix, 1823 (Primates: Pitheciidae). Master’s disserta-
tion, Pontifı
´cia Universidade Cato
´lica de Minas Gerais
Santos GP, Galva
˜o C, Young RJ (2012) The diet of wild black-fronted
titi monkeys Callicebus nigrifrons during a bamboo masting
year. Primates 53:265–272
Schaub A, Ostwald J, Siemers BM (2008) Foraging bats avoid noise.
J Exp Biol 211:3174–3180
Primates
123
Schroeder J, Nakagawa S, Cleasby IR, Burke T (2012) Passerine birds
breeding under chronic noise experience reduced fitness. PLoS
One 7
Slabbekoorn H, den Boer-Visser A (2006) Cities change the songs of
birds. Curr Biol 16:2326–2331
Slabbekoorn H, Peet M (2003) Birds sing at a higher pitch in urban
noise. Nature 424:267
Slabbekoorn H, Ripmeester EA (2008) Birdsong and anthropogenic
noise: implications and applications for conservation. Mol Ecol
17:72–83
Sousa-Lima R, Clark C (2008) Modeling the effect of boat traffic on
the fluctuation of humpback whale singing activity in the
Abrolhos National Park, Brazil. Can Acoust 36:174–181
Sousa-Lima RS, Clark CW (2009) Whale sound recording technology
as a tool for assessing the effects of boat noise in a Brazilian
marine park. Park Sci 26:59
Sun JWC, Narins PM (2005) Anthropogenic sounds differentially
affect amphibian call rate. Biol Conserv 121:419–427
Vargas-Salinas GM, Cunnington A, Ame
´zquita L Fahrig (2014) Does
traffic noise alter calling time in frogs and toads? A case study of
anurans in eastern Ontario, Canada. Urban Ecosyst 17:945–953
Veiga LM, Kierulff CM, de Oliveira MM, Mendes SL (2008)
Callicebus nigrifrons. The IUCN Red List of threatened species
version 20143 http://www.iucnredlist.org. Accessed 17 Decem-
ber 2014
Warren PS, Katti M, Brazel Ermann M (2006) Urban bioacoustics:
it’s not just noise. Anim Behav 71:491–502
Weiss DJ, Hotchkin CF, Parks SE (2014) Modification of spectral
features by nonhuman primates. Behav Brain Sci 37:574–576
Wiley RH, Richards DG (1978) Physical constraints on acoustic
communication in the atmosphere: implications for the evolution
of animal vocalizations. Behav Ecol Soc 3:69–94
Zuberbuehler K, Noe R, Seyfarth RM (1997) Diana monkey long-
distance calls: messages for conspecifics and predators. Anim
Behav 53:589–604
Primates
123
... Recently, an increase in the occurrence of anthropogenic noise throughout the planet has been recognized-and not just in areas of human activities such as mining [3]. Documented effects of noise on wildlife include modulations in acoustic communication [4][5][6], as well as other behavioral changes, such as decreased time spent foraging and sleeping [5], and physiological responses, such as increased secretion of hormones indicative of stress [5]. In addition, ecological impacts, such as changes in species distribution, richness and composition have been documented, e.g., [7,8]. ...
... The phee call is normally used to establish contact among conspecifics, to reunite group members at dusk to rest, when an individual is isolated or when close visual contact is maintained with another animal [10,18,19]. Some studies show that marmosets can alter their sounds to avoid masking, by modulating some temporal and spectral parameters of their vocalizations [6,20,21]. ...
... Rainfall patterns are strongly seasonal with 110 mm mean rainfall, mean temperature of 23.9 • C and 61.9% humidity in the rainy season (October to March). During the dry season, from April to September, the region is characterized by 13 mm mean rainfall, mean temperature of 18 • C and 58.1% humidity [6]. Thirty species of amphibians, eighteen species of reptiles [22], 231 species of birds [23] and 30 species of mammals [24] are known to inhabit the Peti reserve. ...
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Simple Summary Communication is one way that animals use to obtain and defend resources, escape predators and attract sexual partners. However, this process can be disrupted by anthropogenic noise, which often differs from natural sounds in frequency, duration and intensity. This study aimed to understand whether, and how, calls emitted by black-tufted marmosets (Callithrix penicillata) are affected by mining noise. We compared ambient noise and the acoustic parameters of the contact calls of these animals in two study areas, one near and one far from the Brucutu Mine, Minas Gerais, Brazil. We found background noise to be higher in the area near the mine, and marmoset vocalizations more frequent, compared to the far area. Calls emitted in the near area also differed in spectral parameters from the far area, which suggests an effort by the animals to adapt their vocal activity to a noisier environment. Our results indicate that mining noise may affect the acoustic communication of black-tufted marmosets. These results may be taken as a starting point for establishing public policies to promote preventive and/or mitigative measures to protect wildlife around sites of mining activity. Moreover, measures to regulate any noisy activities in relation to wild animals are pressing since these are lacking in Brazil. Abstract All habitats have noise, but anthropogenic sounds often differ from natural sounds in terms of frequency, duration and intensity, and therefore may disrupt animal vocal communication. This study aimed to investigate whether vocalizations emitted by black-tufted marmosets (Callithrix penicillata) were affected by the noise produced by mining activity. Through passive acoustic monitoring, we compared the noise levels and acoustic parameters of the contact calls of marmosets living in two study areas (with two sampling points within each area)—one near and one far from an opencast mine in Brazil. The near area had higher anthropogenic background noise levels and the marmosets showed greater calling activity compared to the far area. Calls in the near area had significantly lower minimum, maximum and peak frequencies and higher average power density and bandwidth than those in the far area. Our results indicate that the mining noise affected marmoset vocal communication and may be causing the animals to adjust their acoustic communication patterns to increase the efficiency of signal propagation. Given that vocalizations are an important part of social interactions in this species, concerns arise about the potential negative impact of mining noise on marmosets exposed to this human activity.
... In response to background noise in a laboratory setting, tamarins and marmosets change the amplitude, length, and timing of their vocalisations , Egnor and Hauser 2006, Egnor et al. 2007, Roy et al. 2011, Hotchkin et al. 2015. Similarly, noisy environments alter the timing and other characteristics of vocalisations in wild primates (Santos et al. 2017, Duarte et al. 2018. Anthropogenic noise can influence habitat use of primates (Duarte et al. 2011), reduce the amount of time spent resting and feeding (Sheehan and Papworth 2019), and increase vigilance (Cañadas Santiago et al. 2020, Gómez-Espinosa et al. 2022, Dias et al. 2023, threat behaviours (Ruesto et al. 2010) and time spent travelling (Cañadas Santiago et al. 2020). ...
... Despite a rise in published research articles on the effects of anthropogenic noise on wild primates in recent years, particularly on neotropical monkeys (Santos et al. 2017, Duarte et al. 2018, Cañadas Santiago et al. 2020, Hernani Lineros et al. 2020, Gómez-Espinosa et al. 2022, Dias et al. 2023, research on other primate taxa including apes, is limited. While the small apes (hereafter 'gibbons'; family Hylobatidae; 20 species) generally prefer less seasonal, lowland forests, gibbon habitats vary both within and between species based upon underlying ecological and climatic variation (Malone and Fuentes 2009). ...
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Wild animals are increasingly subjected to noisier environments as the scale and scope of human activities, such as development and resource extraction, encroach into their habitats. Anthropogenic noise alters the behaviour and vocalisations of wild animals including primates, yet our understanding of how noise affects small apes is limited. The large population of endangered northern yellow‐cheeked crested gibbons (Nomascus annamensis) inhabiting Veun Sai‐Siem Pang National Park (VSSP), in northeastern Cambodia, is frequently exposed to noise produced from illegal selective logging activities within the park. To determine the impacts of chainsaw noise on the gibbons' activity budgets and calling probability, we collected behavioural data on the only habituated gibbon group in VSSP during two consecutive dry seasons between 2017 and 2019. Our analyses of scan and focal‐animal samples revealed that when chainsaws were active, the group rested more and scanned less. The gibbons called more on mornings when there was no chainsaw activity; however, the trend was non‐significant. These findings suggest that despite long‐term exposure, chainsaw noise variably impacts important aspects of gibbon behaviour.
... For instance, Black-tufted marmosets (Callithrix penicillata) prefer to use silent areas of their home ranges (HRs), even if they contain fewer food resources (Duarte et al., 2011). Black-fronted titi monkeys (Callicebus nigrifrons) residing in noisy areas near active mines, often reduce and change their daily patterns of vocal activity (Duarte et al., 2018). In contrast, Bolivian grey titi monkeys (Plecturocebus donacophilus) appear to be resilient to aural disturbance, and do not change their general activity budget or movement patterns in response to anthropogenic noise (Lineros et al., 2020). ...
... Nevertheless, such activity is also temporally structured, with animals calling more in the morning (Heymann, 1990;Norconk, 1990). Despite the importance of long calls to primate species, our knowledge of how, in the wild, their deployment is adjusted in response to anthropogenic noise, is limited (Duarte et al., 2011(Duarte et al., , 2018Gómez-Espinosa et al., 2022;Lineros et al., 2020;Santos et al., 2017). ...
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Many animal species depend on sound to communicate with conspecifics. However, human‐generated (anthropogenic) noise may mask acoustic signals and so disrupt behavior. Animals may use various strategies to circumvent this, including shifts in the timing of vocal activity and changes to the acoustic parameters of their calls. We tested whether pied tamarins ( Saguinus bicolor ) adjust their vocal behavior in response to city noise. We predicted that both the probability of occurrence and the number of long calls would increase in response to anthropogenic noise and that pied tamarins would temporally shift their vocal activity to avoid noisier periods. At a finer scale, we anticipated that the temporal parameters of tamarin calls (e.g., call duration and syllable repetition rate) would increase with noise amplitude. We collected information on the acoustic environment and the emission of long calls in nine wild pied tamarin groups in Manaus, Brazil. We found that the probability of long‐call occurrence increased with higher levels of anthropogenic noise, though the number of long calls did not. The number of long calls was related to the time of day and the distance from home range borders—a proxy for the distance to neighboring groups. Neither long‐call occurrence nor call rate was related to noise levels at different times of day. We found that pied tamarins decreased their syllable repetition rate in response to anthropogenic noise. Long calls are important for group cohesion and intergroup communication. Thus, it is possible that the tamarins emit one long call with lower syllable repetition, which might facilitate signal reception. The occurrence and quantity of pied tamarin' long calls, as well as their acoustic proprieties, seem to be governed by anthropogenic noise, time of the day, and social mechanisms such as proximity to neighboring groups.
... The loss of information in noise can potentially drive the evolution of vocalizations , following acoustic adaptation theory. Many different animals use vocal communication and have been documented to respond to noise, including invertebrates (Lampe et al. 2014, Orci et al. 2016, anurans (reviewed in Lee et al. 2023), primates (Duarte et al. 2018), bats (e.g., Hage et al. 2013, and birds (reviewed in Slabbekoorn 2013). Although noise can interfere with acoustic communication via several mechanisms (Dominoni et al. 2020), acoustic masking has been the best documented. ...
... A third mechanism is altering the timing of acoustic communication, such as signaling during quiet temporal windows or signaling more frequently in noisy conditions to increase signal redundancy when conditions for communication are difficult. Examples include the vermilion flycatcher (Pyrocephalus rubinus), a species that does not learn song, which exhibits longer song bouts with increased noise (Ríos-Chelén et al. 2013); a tree cricket (Oecanthus pellucens) that shortens calls and Vocal performance: a trade-off between sound production rate and spectral bandwidth (minimum to maximum frequency range) in animal vocalizations pauses calling more frequently with elevated noise levels (Orci et al. 2016); and the black-fronted titi monkey (Callicebus nigrifrons), which produces shorter vocalizations with altered temporal patterning when exposed to mining noise (Duarte et al. 2018). Ultimately, temporal changes appear widespread and diverse. ...
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The way in which terrestrial organisms use the acoustic realm is fundamentally important and shapes behavior, populations, and communities, but how background acoustics, or noise, influence the patterns and processes in ecology is still relatively understudied. In this review, we summarize how background acoustics have traditionally been studied from the signaling perspective, discuss what is known from a receiver's perspective, and explore what is known about population- and community-level responses to noise. We suggest that there are major gaps linking animal physiology and behavior to fitness; that there is a limited understanding of variation in hearing within and across species, especially in the context of real-world acoustic conditions; and that many puzzling responses to noise could be clarified with a community-level lens that considers indirect effects. Failing to consider variation in acoustic conditions, and the many ways organisms use and interact via this environmental dimension, risks a limited understanding of natural systems. Expected final online publication date for the Annual Review of Ecology, Evolution, and Systematics, Volume 54 is November 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
... Notably, caribou (Rangifer tarandus), a keystone herbivore in Arctic and boreal ecosystems, serve as an indicator species of noise-induced habitat disruption, as their behavior is significantly affected by blasting, excavation, and transportation noise from mining operations, leading to altered movement patterns and habitat avoidance (Söderholm and Svahn 2015). Similarly, the black-fronted titi monkey (Callicebus nigrifrons), an indicator of acoustic disruptions in tropical forests, modifies its loud call structures and emission patterns in response to persistent mining noise from drilling, machinery, and heavy trucks, which can interfere with communication and disrupt social cohesion (Söderholm and Svahn 2015;Duarte et al. 2018). Furthermore, a study near a Russian copper-nickel smelter complex in Monchegorsk reported an 80% decline in forest bird density due to pollution from sulfur dioxide and heavy metals (Bel'skii 2003). ...
Article
Human activities increasingly disturb biodiversity and ecosystems far beyond their immediate areas. As human activities intensify on Earth's surface, these offsite disturbances threaten biodiversity at regional and global scales. Despite their significance, offsite ecological impacts remain poorly understood, often confused with related phenomena (e.g., edge effects) and excluded from evaluation frameworks. This study clarified the definition of offsite ecological impacts, examined their mechanisms (sources, paths, and drivers), and discussed their intensification under global change. We (1) clarify the offsite ecological impacts from other offsite phenomena, such as secondary, indirect, and competition impacts; (2) identify key drivers, including mining, urbanization, road networks, agriculture, and emerging technologies (e.g., renewable energy infrastructure), and explain how they contribute to offsite ecological impacts; (3) analyze the mechanisms by which disturbances spread, such as pollutants (e.g., heavy metals and microplastics) transported via air, soil, water, and biological or anthropogenic vectors; and (4) highlight challenges in identifying and mitigating offsite impacts, emphasizing how global environmental changes complicate predictions and hinder effective solutions. Addressing these challenges requires improved spatial monitoring, predictive modeling, and innovative conservation strategies. This framework advances the understanding of offsite ecological impacts in the Anthropocene, helping to balance human development with biodiversity conservation and supporting the UN Biodiversity Goals.
... Mining areas are highly dynamic and impactful activities already start during the exploration phase. During this phase, high noise production, caused by extensive drilling and blasting, can disturb the communication of species, such as primates (13), and result in functional loss of otherwise intact habitat (14). Physiological responses to noise pollution have also been documented in various other wildlife species and include among others, increased heart rate, damage to the auditory system, and ultimately, a decrease in survival probability (15). ...
Article
Full-text available
The rapid growth of clean energy technologies is driving a rising demand for critical minerals. In 2022 at the 15th Conference of the Parties to the Convention on Biological Diversity (COP15), seven major economies formed an alliance to enhance the sustainability of mining these essential decarbonization minerals. However, there is a scarcity of studies assessing the threat of mining to global biodiversity. By integrating a global mining dataset with great ape density distribution, we estimated the number of African great apes that spatially coincided with industrial mining projects. We show that up to one-third of Africa’s great ape population faces mining-related risks. In West Africa in particular, numerous mining areas overlap with fragmented ape habitats, often in high-density ape regions. For 97% of mining areas, no ape survey data are available, underscoring the importance of increased accessibility to environmental data within the mining sector to facilitate research into the complex interactions between mining, climate, biodiversity, and sustainability.
... Research on these aspects has investigated the role of species-specific factors, resource management practices, and landscape composition in shaping conflict intensities (Imaki et al., 2006;Hocking et al. 2009;LaFleur & Gould, 2009, Yamada & Muroyama, 2010Wallace & Hill, 2012;Lemessa et al., 2013;Beisner et al., 2015;Anand et al., 2021). A few studies have addressed the impacts of mining on primate ecology and behaviour, such as population decline (Plumptre et al., 2016), altered vocal communication patterns (Duarte et al., 2018), and decline in species diversity (Owusu et al., 2018). However, the role of mining as a potential driver of human-primate conflict has not been examined. ...
Article
Full-text available
Local wildlife respond to mining-induced environmental disruptions through a variety of adaptations, such as changes in habitat selection and diet, modifications in ranging patterns, avoidance behaviours, and disruptions in vocal communication, some of which precipitate human-wildlife conflict. We evaluated how landscape characteristics shaped by mining activities influence the forms and magnitude of human-primate conflict in a coal mining area in southern India. We employed household-level questionnaire surveys to evaluate occurrence and intensity of human-primate conflict and geospatial analysis to ascertain historical changes in the landscape. Our results revealed that in contrast to most rural regions experiencing human-primate conflict, house-raiding was the most frequent form of the conflict in the study area, while instances of crop damage were restricted. Primates avoided areas closer to mines and both occurrence and intensity of conflict incidents increased further away from mines. Landscape elements like monospecific plantations that have resulted from mining activities shaped the occurrence and intensity of conflict. Plantations were associated with decreased likelihood of crop damage, and strongly associated with occurrence and intensity of house-raiding. An overview of long-term land cover changes indicated that the movement of rhesus macaques towards human settlements and resulting conflict interactions are associated with the considerable increase in built-up area over the years. This study is the first systematic assessment of direct linkages between mining and human-primate conflict and provides strong evidence for the impacts of anthropogenically-shaped landscape structure on the nature on human-wildlife conflict.
... Mining areas are highly dynamic and impactful activities already start during the exploration phase. During this phase, high noise production, caused by extensive drilling and blasting can disturb the communication of species, such as primates (13) and result in functional loss of otherwise intact habitat (14). Physiological responses to noise pollution have also been documented in various other wildlife species and include among others, increased heart rate, damage to the auditory system and ultimately, a decrease in survival probability (15). ...
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Full-text available
The rapid growth of clean energy technologies is driving a rising demand for critical minerals. In 2022 at the UN Biodiversity Conference (COP 15), seven major economies formed an alliance to enhance the sustainability of mining these essential decarbonization minerals. However, there is a scarcity of studies assessing the threat of mining to global biodiversity. By integrating a global mining dataset with ape density distribution estimates, we explored the potential negative impact of industrial mining on African great apes. Our findings reveal that up to one-third of Africa’s great ape population faces mining-related risks. This is especially pronounced in West Africa, where numerous mining areas overlap with fragmented ape habitats, often occurring in high-density ape regions. For 97% of mining areas, no ape survey data are available, underscoring the importance of increased accessibility to environmental data within the mining sector to facilitate research into the complex interactions between mining, climate, biodiversity and sustainability. Teaser Mining for clean energy minerals could put one-third of Africa’s ape population at risk.
... Calls may also be modified depending on the nature of the habitats (disturbed or not); Plecturocebus modestus living in continuous forests showed higher call rates than those in fragmented forests (Martínez and Wallace, 2011). Titi monkeys also shorten their call duration to enhance the possibility of being heard and understood over anthropogenic noise (e.g., mining), which can obscure their territorial calls (Duarte et al., 2018 for Callicebus nigrifrons). Plecturocebus donacophilus reduced movement behavior when exposed to long periods of anthropogenic noise and decreased their alarm-calling behavior during periods of increased contact with humans (Hernani Lineros et al., 2020). ...
Article
Titi monkeys (Callicebus, Cheracebus, and Plecturocebus) comprise the most species-rich group of primates in South America. Thirty-six currently recognized species composing this group inhabit a multitude of habitats across most of South America. While field-based and laboratory research has provided insights into the behavior, ecology, and physiology of some titis, multiple knowledge gaps regarding their biodiversity patterns persist. Here, we provide an overview of titi research and identify their biodiversity knowledge shortfalls. Using online databases, we collated the literature of all titi studies published up to December 31, 2021. We compiled 521 publications, with 48% representing in situ field studies of the monkeys. The majority of field-based publications focused on studies conducted in Brazil and Peru. We found that research efforts have increased in recent decades, as indicated by the increased number of publications on titis. However, given the large number of species and their wide distribution across South America, there is limited information about most of these species and their geographic ranges. By highlighting the focal points where conservation-related data are still required, our findings demonstrate the importance of expanding research efforts and investment on the full extent of titi species and their entire geographic regions; doing so will help fill the knowledge shortfalls rather than solely advancing the study of a restricted range of topics in one or two habitats or countries. These advances will contribute to fill knowledge gaps through the creation/expansion of data repositories, citizen science programs, and increased financial support to maintain long-term data collection.
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Anthropogenic noise is a major global pollutant but its effects on primates are poorly understood, limiting our ability to develop mitigation actions that favor their welfare and conservation. In this study, we used an experimental approach to determine the impact of variation in noise intensity on mantled howler monkeys ( Alouatta palliata ). We conducted the study at Los Tuxtlas (México), where we studied the physiological stress (proxied via fecal glucocorticoid metabolites, fGCM) and behavioral responses of 16 males. We played back chainsaw noise at two intensities (40 and 80 dB) and used days in which groups were not exposed to noise as matched controls. With increased noise intensity fGCM increased, vigilance and vocalizations were longer, and vigilance, vocalizations, and flight occurred quicker. Physiological and behavioral responses occurred even after low‐intensity noise playbacks (i.e., 40 dB). Therefore, noise intensity is a significant factor explaining the responses of mantled howler monkeys to anthropogenic noise. These results imply that management actions aimed at eradicating anthropogenic noise are required for the conservation and welfare of mantled howler monkeys at Los Tuxtlas.
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