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Apicella, C.L.; Marlowe, F.W.; Fowler, J.H.; Christakis, N.A. |
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Title |
Social networks and cooperation in hunter-gatherers |
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Journal Article |
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2012 |
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Nature |
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481 |
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7382 |
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497-501 |
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Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. |
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0028-0836 |
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10.1038/nature10736 |
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Equine Behaviour @ team @ |
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5577 |
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Author |
Heyes, C.M. |
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Title |
Transformation and associative theories of imitation. |
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Book Chapter |
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2002 |
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Imitation in animals and artefacts |
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501-523 |
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MIT Press |
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Cambridge, MA. |
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Dautenhahn, K. ; Nehaniv, C. L. |
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Equine Behaviour @ team @ |
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5602 |
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Author |
Tang, Akaysha C. |
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Title |
A hippocampal theory of cerebral lateralization. |
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Book Chapter |
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2003 |
Publication |
The asymmetrical brain |
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37-68 |
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MIT Press |
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Massechusetts |
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Hugdahl K. and Davidson R.J. |
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0-262-58254-6 |
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Equine Behaviour @ team @ |
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5753 |
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Tricomi, E.; Rangel, A.; Camerer, C.F.; O/'Doherty, J.P. |
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Title |
Neural evidence for inequality-averse social preferences |
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Journal Article |
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2010 |
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Nature |
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463 |
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7284 |
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1089-1091 |
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A popular hypothesis in the social sciences is that humans have social preferences to reduce inequality in outcome distributions because it has a negative impact on their experienced reward1, 2, 3. Although there is a large body of behavioural and anthropological evidence consistent with the predictions of these theories1, 4, 5, 6, there is no direct neural evidence for the existence of inequality-averse preferences. Such evidence would be especially useful because some behaviours that are consistent with a dislike for unequal outcomes could also be explained by concerns for social image7 or reciprocity8, 9, which do not require a direct aversion towards inequality. Here we use functional MRI to test directly for the existence of inequality-averse social preferences in the human brain. Inequality was created by recruiting pairs of subjects and giving one of them a large monetary endowment. While both subjects evaluated further monetary transfers from the experimenter to themselves and to the other participant, we measured neural responses in the ventral striatum and ventromedial prefrontal cortex, two areas that have been shown to be involved in the valuation of monetary and primary rewards in both social and non-social contexts10, 11, 12, 13, 14. Consistent with inequality-averse models of social preferences, we find that activity in these areas was more responsive to transfers to others than to self in the ‘high-pay’ subject, whereas the activity of the ‘low-pay’ subject showed the opposite pattern. These results provide direct evidence for the validity of this class of models, and also show that the brain’s reward circuitry is sensitive to both advantageous and disadvantageous inequality. |
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Macmillan Publishers Limited. All rights reserved |
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0028-0836 |
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10.1038/nature08785 |
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no |
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Equine Behaviour @ team @ |
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5119 |
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Author |
Strien, A.J.; Swaay, C.A.M.; Termaat, T. |
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Title |
Opportunistic citizen science data of animal species produce reliable estimates of distribution trends if analysed with occupancy models |
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Journal Article |
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Year |
2013 |
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Journal of Applied Ecology |
Abbreviated Journal |
J Appl Ecol |
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50 |
Issue |
6 |
Pages |
1450-1458 |
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Keywords |
Bayesian inference; citizen science; detection; distribution; hierarchical modelling; Jags; monitoring; site occupancy |
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Summary Many publications documenting large-scale trends in the distribution of species make use of opportunistic citizen data, that is, observations of species collected without standardized field protocol and without explicit sampling design. It is a challenge to achieve reliable estimates of distribution trends from them, because opportunistic citizen science data may suffer from changes in field efforts over time (observation bias), from incomplete and selective recording by observers (reporting bias) and from geographical bias. These, in addition to detection bias, may lead to spurious trends. We investigated whether occupancy models can correct for the observation, reporting and detection biases in opportunistic data. Occupancy models use detection/nondetection data and yield estimates of the percentage of occupied sites (occupancy) per year. These models take the imperfect detection of species into account. By correcting for detection bias, they may simultaneously correct for observation and reporting bias as well. We compared trends in occupancy (or distribution) of butterfly and dragonfly species derived from opportunistic data with those derived from standardized monitoring data. All data came from the same grid squares and years, in order to avoid any geographical bias in this comparison. Distribution trends in opportunistic and monitoring data were well-matched. Strong trends observed in monitoring data were rarely missed in opportunistic data. Synthesis and applications. Opportunistic data can be used for monitoring purposes if occupancy models are used for analysis. Occupancy models are able to control for the common biases encountered with opportunistic data, enabling species trends to be monitored for species groups and regions where it is not feasible to collect standardized data on a large scale. Opportunistic data may thus become an important source of information to track distribution trends in many groups of species. |
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John Wiley & Sons, Ltd |
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0021-8901 |
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doi: 10.1111/1365-2664.12158 |
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no |
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Equine Behaviour @ team @ |
Serial |
6437 |
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Author |
Hofmeester, T.R.; Cromsigt, J.P.G.M.; Odden, J.; Andrén, H.; Kindberg, J.; Linnell, J.D.C. |
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Title |
Framing pictures: A conceptual framework to identify and correct for biases in detection probability of camera traps enabling multi-species comparison |
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Journal Article |
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Year |
2019 |
Publication |
Ecology and Evolution |
Abbreviated Journal |
Ecol Evol |
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animal characteristics; detectability; environmental variables; mammal monitoring; reuse of data; trail camera |
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Abstract Obtaining reliable species observations is of great importance in animal ecology and wildlife conservation. An increasing number of studies use camera traps (CTs) to study wildlife communities, and an increasing effort is made to make better use and reuse of the large amounts of data that are produced. It is in these circumstances that it becomes paramount to correct for the species- and study-specific variation in imperfect detection within CTs. We reviewed the literature and used our own experience to compile a list of factors that affect CT detection of animals. We did this within a conceptual framework of six distinct scales separating out the influences of (a) animal characteristics, (b) CT specifications, (c) CT set-up protocols, and (d) environmental variables. We identified 40 factors that can potentially influence the detection of animals by CTs at these six scales. Many of these factors were related to only a few overarching parameters. Most of the animal characteristics scale with body mass and diet type, and most environmental characteristics differ with season or latitude such that remote sensing products like NDVI could be used as a proxy index to capture this variation. Factors that influence detection at the microsite and camera scales are probably the most important in determining CT detection of animals. The type of study and specific research question will determine which factors should be corrected. Corrections can be done by directly adjusting the CT metric of interest or by using covariates in a statistical framework. Our conceptual framework can be used to design better CT studies and help when analyzing CT data. Furthermore, it provides an overview of which factors should be reported in CT studies to make them repeatable, comparable, and their data reusable. This should greatly improve the possibilities for global scale analyses of (reused) CT data. |
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John Wiley & Sons, Ltd |
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2045-7758 |
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doi: 10.1002/ece3.4878 |
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Equine Behaviour @ team @ |
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6518 |
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Author |
Reinhardt, I.; Kluth, G.; Nowak, C.; Szentiks, C.A.; Krone, O.; Ansorge, H.; Mueller, T. |
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Title |
Military training areas facilitate the recolonization of wolves in Germany |
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Journal Article |
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Year |
2019 |
Publication |
Conservation Letters |
Abbreviated Journal |
Conservation Letters |
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12 |
Issue |
3 |
Pages |
e12635 |
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Keywords |
Canis lupus; large carnivores; population growth; protected areas; recolonization |
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Abstract Wolves (Canis lupus) are currently showing a remarkable comeback in the highly fragmented cultural landscapes of Germany. We here show that wolf numbers increased exponentially between 2000 and 2015 with an annual increase of about 36%. We demonstrate that the first territories in each newly colonized region were established over long distances from the nearest known reproducing pack on active military training areas (MTAs). We show that MTAs, rather than protected areas, served as stepping-stones for the recolonization of Germany facilitating subsequent spreading of wolf territories in the surrounding landscape. We did not find any significant difference between MTAs and protected areas with regard to habitat. One possible reason for the importance of MTAs may be their lower anthropogenic mortality rates compared to protected and other areas. To our knowledge, this is the first documented case where MTAs facilitate the recolonization of an endangered species across large areas. |
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John Wiley & Sons, Ltd |
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1755-263x |
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https://doi.org/10.1111/conl.12635 |
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Equine Behaviour @ team @ |
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6676 |
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Author |
Burton, A.C.; Neilson, E.; Moreira, D.; Ladle, A.; Steenweg, R.; Fisher, J.T.; Bayne, E.; Boutin, S. |
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Title |
REVIEW: Wildlife camera trapping: a review and recommendations for linking surveys to ecological processes |
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Journal Article |
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Year |
2015 |
Publication |
Journal of Applied Ecology |
Abbreviated Journal |
J Appl Ecol |
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52 |
Issue |
3 |
Pages |
675-685 |
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Keywords |
animal movement; camera trap; capture-recapture; density estimation; imperfect detection; mammal monitoring; occupancy model; relative abundance; sampling error; wildlife survey methodology |
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Abstract |
Summary Reliable assessment of animal populations is a long-standing challenge in wildlife ecology. Technological advances have led to widespread adoption of camera traps (CTs) to survey wildlife distribution, abundance and behaviour. As for any wildlife survey method, camera trapping must contend with sources of sampling error such as imperfect detection. Early applications focused on density estimation of naturally marked species, but there is growing interest in broad-scale CT surveys of unmarked populations and communities. Nevertheless, inferences based on detection indices are controversial, and the suitability of alternatives such as occupancy estimation is debatable. We reviewed 266 CT studies published between 2008 and 2013. We recorded study objectives and methodologies, evaluating the consistency of CT protocols and sampling designs, the extent to which CT surveys considered sampling error, and the linkages between analytical assumptions and species ecology. Nearly two-thirds of studies surveyed more than one species, and a majority used response variables that ignored imperfect detection (e.g. presence?absence, relative abundance). Many studies used opportunistic sampling and did not explicitly report details of sampling design and camera deployment that could affect conclusions. Most studies estimating density used capture?recapture methods on marked species, with spatially explicit methods becoming more prominent. Few studies estimated density for unmarked species, focusing instead on occupancy modelling or measures of relative abundance. While occupancy studies estimated detectability, most did not explicitly define key components of the modelling framework (e.g. a site) or discuss potential violations of model assumptions (e.g. site closure). Studies using relative abundance relied on assumptions of equal detectability, and most did not explicitly define expected relationships between measured responses and underlying ecological processes (e.g. animal abundance and movement). Synthesis and applications. The rapid adoption of camera traps represents an exciting transition in wildlife survey methodology. We remain optimistic about the technology's promise, but call for more explicit consideration of underlying processes of animal abundance, movement and detection by cameras, including more thorough reporting of methodological details and assumptions. Such transparency will facilitate efforts to evaluate and improve the reliability of camera trap surveys, ultimately leading to stronger inferences and helping to meet modern needs for effective ecological inquiry and biodiversity monitoring. |
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John Wiley & Sons, Ltd |
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0021-8901 |
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https://doi.org/10.1111/1365-2664.12432 |
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Equine Behaviour @ team @ |
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6703 |
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Author |
Vallortigara, G.; Chiandetti, C.; Sovrano, V.A. |
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Title |
Brain asymmetry (animal) |
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Journal Article |
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Year |
2011 |
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Wiley Interdisciplinary Reviews: Cognitive Science |
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WIREs Cogn Sci |
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2 |
Issue |
2 |
Pages |
146-157 |
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Abstract |
Once considered a uniquely human attribute, brain asymmetry has been proved to be ubiquitous among non-human animals. A synthetic review of evidence of animal lateralization in the motor, sensory, cognitive, and affective domains is provided, together with a discussion of its development and possible biological functions. It is argued that investigation of brain asymmetry in a comparative perspective may favor the link between classical neuropsychological studies and modern developmental and evolutionary biology approaches. WIREs Cogni Sci 2011 2 146–157 DOI: 10.1002/wcs.100 For further resources related to this article, please visit the WIREs website |
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John Wiley & Sons, Inc. |
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1939-5086 |
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Equine Behaviour @ team @ |
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5687 |
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Author |
Nicol, C.J |
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Title |
Equine Stereotypies. In: Houpt K.A. (Ed.), |
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2000 |
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Recent Advances in Companion Animal Behavior Problems |
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International Veterinary Information Service |
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refbase @ user @ |
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477 |
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