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Lema, F.J.; Ribeiro, S.; Palacios, V. |
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Observations of wolves hunting fee-ranging horses in Iberia. |
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2022 |
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Carnivore Damage Prevention News |
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CDPNews |
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24 |
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1-9 |
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Equine Behaviour @ team @ |
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6681 |
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Author |
Klingel H, |
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Title |
Observations on Social Organization and Behaviour of African and Asiatic Wild Asses (Equus africanus and E. hemionus) |
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Year |
1977 |
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Zeitschrift für Tierpsychologie |
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Z. Tierpsychol. |
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44 |
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323-331 |
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from Professor Hans Klingels Equine Reference List |
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1309 |
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Dugnol, B.; Fernández, C.; Galiano, G.; Velasco, J. |
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On a chirplet transform-based method applied to separating and counting wolf howls |
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2008 |
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Signal Process |
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88 |
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Equine Behaviour @ team @ Dugnol2008 |
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6466 |
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DUNCAN P et al, |
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On lactation and associated behaviour in natural herd of horses |
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1984 |
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Anim Behav |
Abbreviated Journal |
Hans Klingels Equine Reference List |
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32 |
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255-263 |
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Developmental changes in time spent suckling and related mother-foal behaviour are described in an unmanaged herd of Camargue horses. Male foals spent about 40% more time suckling than females during the first 8 weeks. Body weight did not differ between the sexes but time-budgets did: males grazed less and were more active. If pregnant, the typical multiparous mare nursed her foals for 35–40 weeks, males and females alike, and weaned them 15 weeks before the next foaling. Primiparae lactated longer and weaned closer to the next foaling by 5 weeks. The mares played an active role in regulating the time spent suckling in early, and particularly in late lactation. |
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from Prof. |
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1033 |
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Frank, H.; Frank, M.G. |
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On the effects of domestication on canine social development and behavior |
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1982 |
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Appl Anim Ethol |
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8 |
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Equine Behaviour @ team @ Frank1982 |
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6259 |
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Kruska, D.C.T. |
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On the evolutionary significance of encephalization in some eutherian mammals: effects of adaptive radiation, domestication, and feralization |
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2005 |
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Brain Behav Evol |
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65 |
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Equine Behaviour @ team @ Kruska2005 |
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6235 |
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Author |
Harris, F. |
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On the Use of Windows for Harmonic Analysis with the Discrete Fourier Transform |
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1978 |
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Proc IEEE |
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66 |
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Equine Behaviour @ team @ Harris1978 |
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6486 |
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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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2013 |
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Journal of Applied Ecology |
Abbreviated Journal |
J Appl Ecol |
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50 |
Issue |
6 |
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1450-1458 |
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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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Equine Behaviour @ team @ |
Serial |
6437 |
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Author |
Burke, C.; Rashman, M.; Wich, S.; Symons, A.; Theron, C.; Longmore, S. |
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Optimizing observing strategies for monitoring animals using drone-mounted thermal infrared cameras |
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Journal Article |
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2019 |
Publication |
International Journal of Remote Sensing |
Abbreviated Journal |
International Journal of Remote Sensing |
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40 |
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2 |
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439-467 |
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ABSTRACTThe proliferation of relatively affordable off-the-shelf drones offers great opportunities for wildlife monitoring and conservation. Similarly the recent reduction in the cost of thermal infrared cameras also offers new promise in this field, as they have the advantage over conventional RGB cameras of being able to distinguish animals based on their body heat and being able to detect animals at night. However, the use of drone-mounted thermal infrared cameras comes with several technical challenges. In this article, we address some of these issues, namely thermal contrast problems due to heat from the ground, absorption and emission of thermal infrared radiation by the atmosphere, obscuration by vegetation, and optimizing the flying height of drones for a best balance between covering a large area and being able to accurately image and identify animals of interest. We demonstrate the application of these methods with a case study using field data and make the first ever detection of the critically endangered riverine rabbit (Bunolagus monticularis) in thermal infrared data. We provide a web-tool so that the community can easily apply these techniques to other studies (http://www.astro.ljmu.ac.uk/aricburk/uav_calc/). |
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Taylor & Francis |
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0143-1161 |
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doi: 10.1080/01431161.2018.1558372 |
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Equine Behaviour @ team @ |
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6528 |
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Author |
Clutton-Brock, J. |
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Origins of the dog: domestication and early history |
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1995 |
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The Domestic Dog: Its Evolution, Behaviour and Interactions with People |
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Cambridge University Press |
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Cambridge |
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Serpell, J.A. |
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Equine Behaviour @ team @ Clutton-Brock1995 |
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6247 |
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