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Lutta, A. S. (1976). [Distribution and biology of Heptatoma pellucens in the Karelian ASSR (fam. Tabanidae)]. Parazitologiia, 10(1), 53–55.
Abstract: The analysis is given of the peculiarities of the distribution of the widely spread forest subspecies Heptatoma pellucens pellucens Fabr. in the northern part of its distribution area in Karelia. Some data on the biology of the larva of this subspecies are presented.
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Davies, R. B., & Clark, G. G. (1974). Trypanosomes from elk and horse flies in New Mexico. J Wildl Dis, 10(1), 63–65.
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Chmel, L., Hasilikova, A., Hrasko, J., & Vlacilikova, A. (1972). The influence of some ecological factors on keratinophilic fungi in the soil. Sabouraudia, 10(1), 26–34.
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Janson, C., & Byrne, R. (2007). What wild primates know about resources: opening up the black box. Anim. Cogn., 10(3), 357–367.
Abstract: Abstract We present the theoretical and practical difficulties of inferring the cognitive processes involved in spatial movement decisions of primates and other animals based on studies of their foraging behavior in the wild. Because the possible cognitive processes involved in foraging are not known a priori for a given species, some observed spatial movements could be consistent with a large number of processes ranging from simple undirected search processes to strategic goal-oriented travel. Two basic approaches can help to reveal the cognitive processes: (1) experiments designed to test specific mechanisms; (2) comparison of observed movements with predicted ones based on models of hypothesized foraging modes (ideally, quantitative ones). We describe how these two approaches have been applied to evidence for spatial knowledge of resources in primates, and for various hypothesized goals of spatial decisions in primates, reviewing what is now established. We conclude with a synthesis emphasizing what kinds of spatial movement data on unmanipulated primate populations in the wild are most useful in deciphering goal-oriented processes from random processes. Basic to all of these is an estimate of the animals ability to detect resources during search. Given knowledge of the animals detection ability, there are several observable patterns of resource use incompatible with a pure search process. These patterns include increasing movement speed when approaching versus leaving a resource, increasingly directed movement toward more valuable resources, and directed travel to distant resources from many starting locations. Thus, it should be possible to assess and compare spatial cognition across a variety of primate species and thus trace its ecological and evolutionary correlates.
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Nelson, W. A., Keirans, J. E., Bell, J. F., & Clifford, C. M. (1975). Host-ectoparasite relationships. J Med Entomol, 12(2), 143–166.
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Knoll, H., & Horschak, R. (1973). [Ecology of fermentation sarcinas Sarcina ventriculi and Sarcina maxima]. Z Allg Mikrobiol, 13(5), 449–451.
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Czaran, T. (1999). Game theory and evolutionary ecology: Evolutionary Games & Population Dynamics by J. Hofbauer and K. Sigmund, and Game Theory & Animal Behaviour, edited by L.A. Dugatkin and H.K. Reeve. Trends. Ecol. Evol, 14(6), 246–247.
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Yamada, T., Rojanasuphot, S., Takagi, M., Wungkobkiat, S., & Hirota, T. (1971). Studies on an epidemic of Japanese encephalitis in the northern region of Thailand in 1969 and 1970. Biken J, 14(3), 267–296.
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Taberlet, P., Waits, L. P., & Luikart, G. (1999). Noninvasive genetic sampling: look before you leap. Trends Ecol. Evol, 14(8), 323–327.
Abstract: Noninvasive sampling allows genetic studies of free-ranging animals without the need to capture or even observe them, and thus allows questions to be addressed that cannot be answered using conventional methods. Initially, this sampling strategy promised to exploit fully the existing DNA-based technology for studies in ethology, conservation biology and population genetics. However, recent work now indicates the need for a more cautious approach, which includes quantifying the genotyping error rate. Despite this, many of the difficulties of noninvasive sampling will probably be overcome with improved methodology.
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Healy, S., & Braithwaite, V. (2000). Cognitive ecology: a field of substance? Trends. Ecol. Evol, 15(1), 22–26.
Abstract: In 1993, Les Real invented the label 'cognitive ecology'. This label was intended for work that brought cognitive science and behavioural ecology together. Real's article stressed the importance of such an approach to the understanding of behaviour. At the end of a decade in which more interdisciplinary work on behaviour has been seen than for many years, it is time to assess whether cognitive ecology is a label describing an active field.
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