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Abstract and Figures

Altering one’s emotional state in response to the emotional expressions of others, called emotional contagion, is a well-studied phenomenon in humans and many nonhuman animals. Here we describe the methods that are typically used to assess changes in the emotional state in demonstrators and the transmission of emotions to naïve observers. We then review the evidence for the transmission of positive and negative emotions in farm animals. We conclude by highlighting examples of how a better understanding of emotional contagion in farm animals can lead to novel and innovative interventions to improve their welfare.
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http://www.cabi.org/cabreviews
CAB Reviews 2020 15, No. 046
Emotional contagion and its implications for animal welfare
Sandra Düpjan*, Annika Krause*, Liza R. Moscovice* and Christian Nawroth*
Address: Institute of Behavioural Physiology, Leibniz Institute for Farm Animal Biology (FBN), 18196 Dummerstorf, Germany.
Correspondence: Christian Nawroth. Email: nawroth.christian@gmail.com
*These authors contributed equally to this work and appear in alphabetical order.
ORCID information: Christian Nawroth (orcid: 0000-0003-4582-4057); Liza R. Moscovice (orcid: 0000-0002-1823-7757)
Received: 03 April 2020
Accepted: 02 July 2020




Abstract
Altering one’s emotional state in response to the emotional expressions of others, called emotional
contagion, is a well-studied phenomenon in humans and many nonhuman animals. Here we describe
the methods that are typically used to assess changes in the emotional state in demonstrators and
the transmission of emotions to naïve observers. We then review the evidence for the transmission
of positive and negative emotions in farm animals. We conclude by highlighting examples of how a
better understanding of emotional contagion in farm animals can lead to novel and innovative
interventions to improve their welfare.
Keywords: affective state, arousal, cognition, emotions, empathy, farm animals, livestock, mood, valence
Review Methodology: 




Definition and descriptions
Affective states, referring to short-term emotions and
long-term moods, are inherently ‘personal’ experiences of
individuals. However, individuals often live in social groups,
and there is increasing evidence that social partners are
highly sensitive to indicators of affective states in others,
whether these are expressed as signals in a voluntary act
of communication or as involuntary cues. This sensitivity to
others’ emotional states can lead to emotional contagion,
which is dened as the tendency to alter one’s behavioral
(e.g., postures, vocalizations) and physiological (e.g., heart
rate, hormone levels) states in response to the emotional
expressions of others (reviewed by [1]), reecting changes
in the observer’s affective state. Emotional contagion is
suggested to have its evolutionary origins in the subco nscious,
automatic mimicry of behavioral expressions, including
emotional ones, and has been described by two conceptually
distinct and empirically separable components, namely
socially-mediated arousal, referring to an observer’s
heightened sensitivity in response to changes in a
demonstrator, and behavioral/physiological contagion,
referring to the matching of the demonstrator’s behavioral
or physiological state [2]. It is a highly efcient way for
tness-relevant information to spread through a social
group, and is widely considered the most basic form of
empathic responses [3]. While emotional contagion does
not involve all of the cognitive and emotional systems that
we associate with human empathy, it is highly relevant given
that it is widespread in animals [4] and has applied value
for animal welfare, especially under captive conditions [5].
Emotional contagion implies that it is not only important to
consider the effect of a treatment on an individual, but also
the extent to which its group members may be affected
by its response, even if they were not subjected to the
treatment themselves.
2 CAB Reviews
http://www.cabi.org/cabreviews
State of the art
Research into emotional contagion in animals integrates
multiple behavioral, autonomic, and/or physiological measures
to provide evidence for the transmission not only of arousal
but also of valence (i.e., the positive or negative perception of
a situation [6]). In typical paradigms, a naïve individual directly
observes a conspecic demonstrator during a situation that
induces a change in the demonstrator’s emotional state. The
observer has access to visual, olfactory, and/or auditory cues,
but usually is not allowed to directly interact with the
demonstrator [7]. Measuring the transmission of emotions
requires methods to assess changes in emotional states in
demonstrators, as well as evaluating whether observers
exhibit corresponding changes that indicate a similarly
valenced (e.g., pleasant vs. unpleasant) emotional response.
Indicators of emotions that have been studied in the context
of emotional contagion include functionally relevant behaviors
that accompany emotional states, such as approach and
avoidance, freezing, vocalizations, tail wagging, ear postures, or
facial expressions [7, 8]. Autonomic indicators such as changes
in heart rate (HR) and its variability (HRV) and surface eye
temperature are also commonly used [2, 9]. In addition,
concentrations of neuroendocrine hormones such as cortisol
and oxytocin can change rapidly in blood, saliva, or urine in
response to positive or negative stimuli (e.g., [10]). The
integration of multiple behavioral and physiological measures
can provide insights into both the arousal and valence aspects
of emotional contagion.
Evidence for emotional contagion is widespread across
animal taxa, but primarily restricted to the transmission of
negative emotional states such as fear, pain, or distress ([2],
see Table 1 [7, 9]). This may be in part because negative
emotional states are easier to detect, due to their more
direct link to survival and tness, but it also may reect the
more well-developed methods for identifying negative
emotional states in animals (reviewed in [5]). While studies
of emotional contagion in farm animals have lagged behind
other species (see Fig. 1), the available evidence suggests
that farm animals may also transmit both negative and
positive emotions ([8, 11], see also Table 1). Modications
to standard paradigms suggest that emotions can even be
transmitted to naïve individuals who do not directly
observe demonstrators receiving a positive or negative
treatment, but merely interact with them beforehand when
they are anticipating the stimulus [11, 12], or afterward when
they are returned to their social groups [8, 13]. For example,
naïve pigs responded differently to being reunited with group
mates who had experienced a negative or positive treatment.
They exhibited decreased activity and exploration when
group mates received a negative treatment, and increased
social contact and exploration when group mates received a
positive treatment ([8], see also Table 1). This suggests that
the impact of a specic treatment on an individuals’ emotional
state can last well beyond the treatment itself, and can also
affect the emotional state of group members.
Implications for farm animals and outlook for
future studies
Emotions, both positive and negative, have the potential to
spread across a group of individuals via emotional
contagion. This phenomenon is especially important from a
farm animal welfare perspective, since it suggests that even
brief husbandry interventions can have positive or negative
impacts on the affective states of individuals who anticipate
and experience them, as well as on the rest of their social
group. Although research on transmission of emotions in
applied ethology is still in its infancy (see Fig. 1), the available
Figure 1. Number of publications covering emotional contagion in humans and animal species other than farm animals

Sandra Düpjan et al. 3
http://www.cabi.org/cabreviews
Table 1. Overview of behavioral and physiological responses* of demonstrators and observers in different testing paradigms for emotional contagion in farm animals.
Reference  Test paradigm Treatments Measures Test

(effect of...)
Reaction of the

treated individual
Reaction of the

individual
Edgar
et al. [9]
Chicken During
experience
of a negative
treatment
Negative:
aversive air puff
Control: no
treatment
Control with
noise
Eye temperature,
comb temperature,
heart rate, heart rate
variability, behavior:
standing alert,
preening, vocaliza-
tions, maternal
clucking
During a negative
treatment: air puff
to hen itself (vs.
pre-treatment)
Interaction of
treatment*
period





Data not shown
During a negative
treatment: air puff
to chicks (vs.
pre-treatment)
Interaction of
treatment*
period
No interaction effect
between treatment
and period
concerning chick
distress vocalization





Edgar
et al. [2]
Chicken During
experience
of a negative
treatment
Negative:
aversive air puff

Control: air puff
was directed
away
Eye temperature,
behavior: ground
pecking, standing,
sitting, preening,
freezing, walking
During a negative
treatment (vs.
pre-treatment)
Interaction of
treatment*
period
-







During control
treatment (vs.
pre-treatment)
Interaction of
treatment*
period
No statistical
differences
No statistical
differences
During a negative
treatment (vs.
control)


correlation
Highly correlated demonstrator-observer
behavior (ground pecking, standing,
freezing) and eye temperature
Goumon
and

[7]
 During
experience
of a negative
treatment
Negative:
restrained behind
a movable wall
Control: wall
moves, but no
restraint
Heart rate, heart rate
variability, behavior:
locomotion, proxim-
ity, escape attempts,
freezing, defecating,
urinating, lying,

pair mate, ears

vocalization
Phase 1: naïve observers
During a negative
treatment
(vs. control)
Treatment
(negative vs.
control)








proximity to pen mate





Phase 2: experienced observers
During a negative
treatment (vs.
control)
Treatment
(negative vs.
control)

differences



Reimert
et al. [12]
 During
anticipation
and experience

positive
treatment
Negative:
social isolation
with negative
handling
Positive:
access to a
compartment with
straw and food
reward
Cortisol, behavior:
freezing, escape
attempts, play,
defecating, urinating,
ears back, ear
posture changes, tail

vocalization
During anticipation
of a negative (vs.
positive) treatment
Treatment
(negative
vs. positive)



orienting head

No statistical
differences
During a negative
(vs. positive)
treatment
Treatment
(negative
vs. positive)





Nosing aversive door
-


Continued
4 CAB Reviews
http://www.cabi.org/cabreviews
Reimert
et al. [11]
 During anticipa-
tion and
experience of

positive
treatment
Effect of
intranasal
administration
of Oxytocin in
observers
Negative: social
isolation with
negative handling
Positive: access
to a compartment
with straw and
food reward

alert, escape
attempts, play,
urinating, defecating,
exploring doors, ear
postures, head
postures, head
orientation,
vocalization
During anticipation
of a negative (vs.
positive) treatment
Treatment
(negative
vs. positive)
No statistical
analysis, descrip-
tive reporting only
No statistical analysis,
descriptive reporting
only
Without intranasal administration of oxytocin:
During a negative
(vs. positive)
treatment
Treatment
(negative
vs. positive)







high-pitched vocaliza-

Negative treatment vs.
positive treatment vs.
without pen mates
present: standing

to positive compart-


During a treatment
with (vs. without)
pen mates present
 


positive treatment

mates present
Interaction of
treatment*
situation

With intranasal administration of oxytocin or placebo in observer/naïve individuals:
During a negative
(vs. positive)
treatment
Treatment
(negative vs.
positive)




low-pitched


exploring door to


positive treatment
with admin. of
oxytocin (vs. placebo)
Intranasal
administration
 Low-pitched vocaliza-


positive Treatment
with admin. of

Interaction of
treatment*
administration
Defecating, exploring
treatment door, tail low
Exploring neutral door
Reference  Test paradigm Treatments Measures Test

(effect of...)
Reaction of the

treated individual
Reaction of the

individual
Table 1. Continued
Sandra Düpjan et al. 5
http://www.cabi.org/cabreviews
Reimert
et al. [8]
 During reunion
after exposure

positive
treatment
Negative: social
isolation with
negative handling
Positive: access
to a compartment
with straw and
food reward

standing alert,
sitting, lying, walking,
play, drinking, eating,
comfort behavior,

pen mate), manipu-
late pen mate,
aggressive behavior,


postures (in curl,
wagging, low,
between legs),

social interaction
behaviors (nosing

mate)
Day 2 (at the beginning of the experiment)
After a negative
(vs. positive)
treatment
Treatment
(negative vs.
positive)


nosing the nose of




behavior (nose-nose,

After a treatment
being the observ-
er (vs.
demonstrator)
Type (only in
the context
of social
behaviors)
Nosing the nose of

Day 18 (at the end of the experiment)
After a negative
(vs. positive)
treatment
Treatment
(negative vs.
positive)

nose and body of



behavior (nose-nose,

After a treatment
being the observ-
er (vs.
demonstrator)
Type (only in
the context
of social
behaviors)
Nosing the nose and
body of the

Colditz
et al. [12]
 After the
experience of
a negative
treatment
Negative:
knife castration
Control: sham
castration
Cortisol, rectal
temperature, pain
avoidance behavior:

foot stamping, rolling,
jumping, licking
wound, easing
quarters, teat seeking,
postural behavior:
normal ventral lying,
abnormal ventral
lying, ventral lying
other, lateral lying,
abnormal lying, total
lying, normal standing,
statue standing,
abnormal standing,
standing other, normal
walking, abnormal
walking, walking
other, total standing,
total abnormal
behaviors, synchrony
of behavior
After a negative
(knife castration)
treatment vs. ring
vs. sham
castration
Treatment
(negative1
vs. negative2
vs. control)

-


After a negative
treatment in
homogenous (vs.
heterogeneous)
social groupings

grouping





control treatment

heterogeneous
social groupings
Interaction of
treatment*
social
grouping
Lateral lying
At three different
time periods after

treatment
Interaction of
treatment*
period

After a treatment in
homogenous (vs.
heterogeneous)
social groupings

synchrony (K

synchroniza-
tion)
Heterogeneous groups: synchronization of
walking
homogeneous groups: synchronization of
feeding at the trough (sham + ring
castration)
negative synchronization of lying and
standing (ring + knife castration)


6 CAB Reviews
http://www.cabi.org/cabreviews
literature is a promising indicator of what we might expect
to nd across a range of farm animals [5].
Future research should aim at increasing our knowledge
of emotional contagion in farm animals to design husbandry
environments that improve their welfare, that is, by
decreasing the spread of negative emotions or promoting
the spread of positive ones [5]. This could be achieved
through modications to the husbandry and management
environment. For example, selective noise-canceling of
high-pitched distress calls, while allowing low-pitched
non-distress calls that might provide social support, is one
possibility to reduce the spread of negative emotions through
groups. In addition to noise-canceling speaker systems,
technical innovations such as visual or acoustic displays of
demonstrators in positive states also have potential. To this
end, we need to investigate the sensory modalities (including
visual, acoustic, or olfactory cues) that make individuals of
a specic species most susceptible to emotional contagion.
Several studies have also shown that previous experience
of the observer with the same positive or negative event as
the demonstrator [7], or the strength of social relationships
between the observer and demonstrator [9] can inuence
the likelihood of emotional contagion and these areas
deserve further research. The development and integration
of a broader range of indicators, including non-invasive
physiological parameters, to validate emotional states in
demonstrators and track changes in emotional states
in observers, are also needed. Lastly, future research should
take into account that emotional contagion does not require
exact matching of every aspect of the demonstrator’s respon se.
It can also lead to a more generalized synchronization of
behavioral and physiological parameters resulting in varied
responses that still match the valence aspect of the
observed emotional state.
In the long term, an increased understanding of when
and how emotional contagion occurs will provide novel
insights into the emotional experiences of animals, and is
thus key to improving their welfare.
Acknowledgments
This work was supported by a grant from the Deutsche
Forschungsgemeinschaft (DFG, LA 1187/6-1) to CN. The
publication of this article was funded by the Open Access
Fund of the Leibniz Association and the Open Access Fund
of the Leibniz Institute for Farm Animal Biology (FBN).
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 
emotions through mimicry: a neurocognitive model of

Reviews 2017;80:99–114.
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Nawroth C. Looking on the bright side of livestock emotions—
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
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 


 

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 
the loose: emotional contagion and the role of oxytocin in
pigs. Animal Cognition 2015;18(2):517–32.
 
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 
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... This typically involves training the models on a subset of data from all except one of the paradigms and then measuring the model's performance on the "left-out" data [136]. Investigating the contributions of social interaction and emotional contagion at the herd level to affective states in individual farm animals [11,37,38,[138][139][140][141][142] would be a requirement to strengthen the welfare monitoring framework reliability. Antagonistic social interactions, such as aggressive behaviours, are a serious health and welfare problem that affects not only the animals but also the animal caretakers. ...
... When combined with the other multimodal sensor data and the annotations will provide a rich picture of the physical, physiological, and behavioural events accompanying these interactions. This integration of multimodal sensor data into the SNA model developed here will allow in-depth analyses for the first time of how affective states influence and emerge from interactions, including the phenomenon of emotional contagion [11,139], and how interpersonal interactions (between specific individual animals) are maintained and develop over time. ...
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Emotions or affective states recognition in farm animals is an underexplored research domain. Despite significant advances in the animal welfare research, the animal affective computing through the development and application of devices and platforms that can not only recognize but interpret and process the emotions, are in nascent stage. By capitalizing on the immense potential of biometric sensors, the artificial intelligence enabled big data methods substantially offers advancement of animal welfare standards and meet the urgent need of caretakers to respond effectively to maintain the wellbeing of their animals. Farm animals, numbering over 70 billion worldwide, are increasingly managed in large-scale, intensive farms. With both public awareness and scientific evidence growing that farm animals experience suffering, as well as affective states such as fear, frustration and distress, there is an urgent need to develop efficient and accurate methods for monitoring their welfare. At present, there are no scientifically validated ‘benchmarks’ for quantifying transient emotional (affective) states in farm animals, and no established measures of good welfare, only indicators of poor welfare, such as injury, pain and fear. Conventional approaches to monitoring livestock welfare are time consuming, interrupt farming processes and involve subjective judgments. Biometric sensors data enabled by Artificial Intelligence are an emerging smart solution to unobtrusively monitoring livestock, but their potential for quantifying affective states and groundbreaking solutions in their application are yet to be realized. This review provides innovative methods for collecting big data on farm animal emotions, which can be used to train artificial intelligence models to classify, quantify and predict affective states in individual pigs and cows. Extending this to the group level, social network analysis can be applied to model emotional dynamics and contagion among animals. Finally, ‘digital twins’ of animals capable of simulating and predicting their affective states and be-havior in real time are a near-term possibility.
... After 3 h, the piglets were guided back to the farrowing pen, the back gate was closed, and the enrichment was cleared from the pens. The farrowing pens of the PLY and CON treatments were situated on opposite sides of the room to avoid emotional contagion-the tendency to be behaviourally and physiologically affected by the emotional expression of others (32). ...
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Positive emotions can reduce disease susceptibility during infectious challenges in humans, and emerging evidence suggests similar effects in farm animals. Because play behaviour may support a positive emotional state in pigs, this study investigates whether rearing pigs with regular intermittent play opportunities enhances disease resilience when challenged with porcine reproductive and respiratory syndrome virus (PRRSV). Litters were assigned to either play (PLY; n = 5 L) or control (CON; n = 4 L) treatments at birth. In PLY, play was promoted with extra space and enrichment items for three hours daily from five days of age (doa). At weaning (25 ± 2 doa; mean ± SD), 28 pigs (14/treatment) were selected for a disease challenge, based on weight, sex, and sow. The pigs were transported to a disease containment facility and at 43 ± 2 doa (day 0 post-inoculation, DPI) inoculated with PRRSV. Skin lesions, blood, rectal temperature, clinical signs, body weight, and behaviour were collected pre- and post-inoculation. Play opportunities for PLY continued every other day until euthanasia of all pigs at 65 ± 2 doa (22 DPI). PLY pigs exhibited fewer skin lesions following transport and throughout the infection compared to CON. Although the viral load did not differ between treatments, PLY pigs had a lower probability of experiencing moderate and severe respiratory distress, with a shorter duration. PLY also performed better throughout the infection, showing higher ADG and greater feed efficiency. The immune response differed as well. PLY pigs had fewer monocytes on 8 DPI than CON, with levels returning to baseline by 21 DPI, whereas CON levels exceeded baseline. Regardless of day of infection, lymphocyte counts tended to be lower in PLY than in CON, and white blood cells and neutrophils were also lower, but only in slow-growing pigs. PLY pigs continued to play during the infection, demonstrating less sickness behaviour and emphasizing the rewarding properties of play. Results suggest that PLY pigs were less affected by PRRSV and developed increased resilience to PRRSV compared to CON. This study demonstrates that rearing pigs in an environment supporting positive experiences through provision of play opportunities can enhance resilience against common modern production challenges, underscoring the value of positive welfare in intensive pig farming.
... More arousing emotional events may provoke larger changes in peripheral temperatures and 203 prolonged persistence of temperature changes in the initial (acute) phase of emotional responses, and for 204 very stressful experiences, initial decreases may be accompanied by a delayed temperature increase, 205 9 exceeding baseline temperatures (chronic phase; Stewart et al. 2007, Herborn et al. 2015. Onset of 206 temperature changes has also been shown to vary with valence in cows, with a greater lag in response 207 observed when responding to positive compared with negative stimuli, despite these contexts being of 208 similar arousal (Proctor and Carder 2016). Since negative emotions are implicated in 'fight-or-flight' 209 responses to threatening stimuli, we might expect quicker mobilisation of physiological responses 210 underlying temperature changes to negative over positive contexts (Chotard et al. 2018). ...
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Positive welfare is a relatively modern concept based on the idea that on the whole, an animal’s positive experiences should outweigh their negative ones. Intuitively, we therefore require indicators to measure when animals are experiencing positive and negative emotional states, as well as providing opportunities for animals to create positive experiences. Goats typically live rich social and emotional lives, are naturally inquisitive, and seek cognitive challenges, highlighting the importance of a complex and cognitively stimulating environment for their welfare. However, all goats are different, underlining the shortcomings of a ‘one size fits all’ approach to provide the best welfare for each individual. In sum, to achieve positive welfare in goats we must have a means to monitor their emotional experiences, understand their cognitive abilities and provide sufficient opportunities to apply these and ensure welfare measures are tailored at an individual-level. This chapter will therefore focus on potential behavioural, physiological and cognitive indicators used to measure goat emotional states in the short- and long-term; their cognitive abilities in the physical and social domains; and the effect of personality on how goats interact with their social environment and on their cognitive abilities.
... dogs), as the overall fear response of the triad (human-dog-cow), is expected to be even higher, following emotional contagion (e.g. Huber et al., 2017;Düpjan et al, 2020). Trying to escape in these situations, unaware of the fact that cattle run faster than most humans, could only increase the associated fear, and risk of self-injury. ...
... In the current study, the CT group presented a high level of pen exploration and other behaviors, demonstrating a constant level of activity during the mixing periods in the adjacent pens. Düpjan et al., [28] reported that the general excitement during moving and mixing contributed to overall level of aggression. Control group may have reduced level of positive interactions because they were stimulated by excitement and fighting at nearby pens. ...
Article
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Mixing, a common management strategy used to regroup pigs, has been reported to impair individual performance and affect pig welfare because of the establishment of a new social hierarchy after regrouping. In this study we aimed to determine whether mixing management (non-mixed vs. mixed) and gender (gilts vs. barrows) affect the social and non-social behavior, performance, and physiological parameters of pigs. A total of 96 growing pigs (48 barrows and 48 females) were separated into two treatments: control (CT)—pigs that were mixed once during the growing-finishing period; and social stress (SS)—pigs that were mixed thrice during the growing-finishing period. We recorded social and non-social behaviors, injury score, performance, and physiological parameters during the experimental period. Data were grouped by the period, based on each mix performed, and overall values. The statistical analysis performed considered gender and treatment. For treatment, during period–II and III, the SS group presented the highest frequency of agonistic interactions (AI), stayed longer lying laterally (LL) and sternly (LS), and explored more enrichment material (ER) than the CT group. Furthermore, SS pigs presented the highest injury score in the ear, head, and middle and posterior regions. Compared to the females, the barrows spent more time at the electronic feed station and initiated most of the agonistic interactions during period–II, and they presented a higher injury score for the ear and head regions during period–III. In conclusion, repeated regrouping significantly affected social and feeding behavior without severely altering performance and physiological parameters. Furthermore, different patterns of social and feeding behavior, agonistic interactions, and injury scores between barrows and females were observed. This study provides an understanding of the impact of mixing management and gender differences on pigs, and this knowledge can be used to improve swine productivity and welfare.
Article
This paper addresses the use of the term “pathetic fallacy” by critics to describe the representation of nature in bucolic poetry, identifying and discussing two main interpretative trends in scholarship: (i) a view that gives the word “fallacy” its full meaning and regards the figure as a sign of disconnection from reality; (ii) a positive view that understands the “pathetic fallacy” as the expression of different ontologies recognizing the intimate relationship between humans and the environment. Especial attention is given to the problematic usage of the term to describe how poets see the behavior of animals. The essay proposes an alternative approach to the relevant passages employing Greg Garrard's typology of representations of animals, as well as references to scientific research on animal cognition and emotions.
Chapter
When, if ever, is it better to spend money to improve pig welfare over chicken welfare? Which species of fish is worst off in commercial aquaculture operations? When, if ever, would humans benefit less from a policy than animals stand to lose? The answers to these questions involve making interspecies welfare comparisons—assessments of how well or poorly the members of one species are faring compared to the members of another species. It’s important to answer these questions, as governments, NGOs, and private actors regularly make decisions that assume particular views about them. However, there is no accepted method for making interspecies welfare comparisons; welfare assessment tools are designed to make comparisons within species, not across them. This volume addresses this crucial gap in the literature: it proposes a methodology for making such comparisons, it puts that methodology into practice, and then reports some tentative, proof-of-concept results. This book reports the results of a collaborative, 20-month, interdisciplinary project on making interspecies welfare comparisons. It includes contributions from philosophers, neuroscientists, comparative psychologists, animal welfare scientists, and many others. Unlike many edited volumes, this book is the product of a joint enterprise with a specific, shared goal: to develop a way to make principled comparisons between courses of action that affect different kinds of animals. This book reflects the contributors’ collective view about one way to achieve that goal.
Chapter
Positive welfare is a relatively modern concept based on the idea that on the whole, an animal’s positive experiences should outweigh their negative ones. Intuitively, we therefore require indicators to measure when animals are experiencing positive and negative emotional states, as well as providing opportunities for animals to create positive experiences. Goats typically live rich social and emotional lives, are naturally inquisitive, and seek cognitive challenges, highlighting the importance of a complex and cognitively stimulating environment for their welfare. However, how goats respond to their environment is not the same for each individual, underlining the shortcomings of a ‘one size fits all’ approach to enhancing welfare. In sum, to achieve positive welfare in goats, we must possess a means to monitor their emotional experiences, understand their cognitive abilities and provide sufficient opportunities to apply these, while ensuring welfare measures are tailored at an individual level. This chapter will therefore focus on potential behavioural, physiological, and cognitive indicators used to measure goat emotional states in the short and long term; their cognitive abilities in the physical and social domains; and the effect of personality on how goats interact with their social environment and on cognitive abilities. It contains enriching material in the form of videos and goat call recordings to complement your reading experience.
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Emotional contagion can be defined as the transfer of an emotional state from the demonstrator of that state towards an observer. Social buffering is a process by which the demonstrator has a reduced stress response due to the presence of one or more other individuals. While both processes are well studied separately, it is unknown whether and how both processes are related. Therefore, the aim of this study was to investigate the relation between emotional contagion and social buffering in pigs. Hereto correlations were performed between measures of emotional contagion (i.e., the difference in behaviour of observer pigs between a situation with and without demonstrator pigs present) and measures of social buffering (i.e., the difference in behaviour of demonstrator pigs in a negative situation with and without observer pigs present). The results did not point towards a clear and consistent relation as only few and contrasting correlations between measures of emotional contagion and social buffering were found, and after correcting for chance no significant correlations remained. To conclude, more research is needed on the relation between emotional contagion and social buffering to shed light on how and when emotions will spread through and/or are buffered in a group of animals.
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Regrouping practices are frequent in pig production, altering hierarchy and triggering aggressive behaviors. The present study aimed to investigate the physiological responses of piglets to an experimental model designed to induce stress through systematic social mixing in two trials. In Trial A, a total of 144 crossbred piglets (25 days postweaning) housed in one room within 36 pens (four piglets/pen) were used and randomly assigned to either a control group (piglets maintained in their pen, Ctrl-A) or a social challenge group (piglets mixed, SC-A). In Trial B, the same number of animals (33 days postweaning) and crossbreed line was used, and each piglet was assigned either to a control group (Ctrl-B) or a social challenge group (SC-B) in two independent rooms (rooms Ctrl and SC, 12 pens/ room, six piglets/pen). The social challenge consisted of daily moves of three out of four pen mates and five out of six pen mates, for Trials A and B, respectively. In the Ctrl groups, all piglets stayed in their original pen. Before the 1st mixing day and at the end of the 3rd mixing day, saliva (cortisol concentration) and blood (cortisol concentration changes, hemogram, and immunologic activation) samples were collected from two random piglets per pen. Skin lesion scores of all piglets were also recorded on the front, middle, and rear body regions. In Trial A, the total skin lesions score was higher in the SC-A group compared to the Ctrl-A group after the social challenge (0.53 vs. 0.17; p < 0.05), but an unexpected increase between sampling days in the Ctrl-A piglets (0.06 vs. 0.17; p < 0.05) was also recorded, suggesting that Ctrl-A pigs showed similar aggressivity levels to the SC-A group. Hematological parameters hemoglobin, red blood cell counts, and leukocyte counts present similar changes in both treatment groups after the social challenge. Contrarily, in Trial B, the lesion score only increased in the piglets in room SC (0.08 vs. 0.34; p < 0.05). Results suggest that stable groups may show aggressive behaviors if they are in the same room with socially challenged pigs. Thus, the physical separation of treatment groups in social stress studies is recommended.
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