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Author |
Moehlman, P.D. |
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Title |
Endangered wild equids |
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Journal Article |
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Year |
2005 |
Publication  |
Scientific American |
Abbreviated Journal |
Sci Am |
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Volume |
292 |
Issue |
3 |
Pages |
74-81 |
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Keywords |
Africa; Americas; Animals; *Animals, Wild/physiology; Asia; *Conservation of Energy Resources; Environment; *Equidae/physiology; Food Chain; Humans; Male; Reproduction |
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Abstract |
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IUCN-The World Conservation Union/Species Survival Commission Equid Specialist Group |
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English |
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ISSN |
0036-8733 |
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Notes |
PMID:15859216 |
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Call Number |
refbase @ user @ |
Serial |
551 |
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Author |
Boyce, P.N.; McLoughlin, P.D. |
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Title |
Ecological Interactions Involving Feral Horses and Predators: Review with Implications for Biodiversity Conservation |
Type |
Journal Article |
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Year |
2021 |
Publication |
The Journal of Wildlife Management |
Abbreviated Journal |
Jour. Wild. Mgmt. |
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Volume |
n/a |
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n/a |
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Keywords |
apparent competition; artificial selection; community ecology; conservation; feral horse (Equus ferus caballus); life history; predator-prey dynamics |
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Abstract |
ABSTRACT For many ecosystems, feral horses are increasingly becoming an important if not dominant component of ungulate biomass and hence influence on community dynamics. Yet we still know little of how horses contribute to key ecological interactions including predator-prey and indirect competitive relationships at a community level. Notably, feral species like horses can exhibit life-history traits that differ from that of native (mainly artiodactyl) herbivore competitors. Artificial selection for traits like increased, early, or extended reproduction that have yet to be reversed by natural selection, coupled with naturally selected differences in anatomy and behavior, in addition to unique management objectives for horses compared to other species, means that the dynamics of feral horse populations are not likely to align with what might be expected of other large herbivores. Unexpected population dynamics and inherent biological asymmetries between native ungulates and feral horses may therefore influence the former via direct competition for shared resources and through enemy-mediated interactions like apparent competition. In several localities feral horses now co-exist with multiple native prey species, some of which are in decline or are species at risk. Compounding risks to native species from direct or indirect competitive exclusion by horses is the unique nature and socio-political context of feral horse management, which tends towards allowing horse populations to be limited largely by natural, density-dependent factors. We summarize the inherent asymmetries between feral horse biology and that of other ungulate prey species with consequences for conservation, focusing on predator-prey and emerging indirect interactions in multi-prey systems, and highlight future directions to address key knowledge gaps in our understanding of how feral horses may now be contributing to the (re)structuring of food webs. Observations of patterns of rapid growth and decline, and associated skews in sex ratios of feral horse populations, indicate a heightened potential for indirect interactions among large ungulate prey species, where there is a prevalence of feral horses as preferred prey, particularly where native prey are declining. In places like western North America, we expect predator-prey interactions involving feral horses to become an increasingly important factor in the conservation of wildlife. This applies not only to economically or culturally important game species but also at-risk species, both predators (e.g., wolves [Canis lupus], grizzly bears [Ursus arctos]) and prey (e.g., woodland caribou [Rangifer tarandus caribou]), necessitating an ecological understanding of the role of horses in natural environments that goes beyond that of population control. ? 2021 The Wildlife Society. |
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John Wiley & Sons, Ltd |
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0022-541x |
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https://doi.org/10.1002/jwmg.21995 |
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Call Number |
Equine Behaviour @ team @ |
Serial |
6642 |
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Author |
Taberlet, P.; Waits, L.P.; Luikart, G. |
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Title |
Noninvasive genetic sampling: look before you leap |
Type |
Journal Article |
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Year |
1999 |
Publication |
Trends in Ecology & Evolution |
Abbreviated Journal |
Trends Ecol. Evol |
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Volume |
14 |
Issue |
8 |
Pages |
323-327 |
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Keywords |
Hairs; Feces; Feathers; Allelic dropout; Individual identification; Conservation genetics; Behavioural ecology; Pilot study; Microsatellites; Probability of identity |
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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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ISSN |
0169-5347 |
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Call Number |
Equine Behaviour @ team @ |
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6573 |
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Author |
Wilson, R.T. |
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Title |
Biodiversity of Domestic Livestock in the Republic of Yemen |
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Journal Article |
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Year |
2003 |
Publication |
Tropical Animal Health and Production |
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35 |
Issue |
1 |
Pages |
27-46 |
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Abstract This paper describes the domestic livestock of the Republic of Yemen and aspires to complement earlier sources listing or partially describing `breeds'. It attempts to cover all species and provide indications of production parameters through a literature review and via field observations made by the author in 1999. Information is provided on livestock numbers and the economic importance of animal production. Most animals are kept in sedentary mixed crop-livestock production systems; transhumant systems have the next greatest number of stock; with nomadic systems being of least and declining importance. Yemen's livestock appear to comprise at least 11 breeds of sheep, 5 breeds of goat, 2 breeds of cattle, 4 breeds of camel, 2 breeds of donkey and 1 breed of horse. There are no data on breeds of poultry but domestic fowl (where clearly considerable diversity exists) and pigeons are kept. There is little formal information on the history and relationships of most breeds. Some appear to be of ancient local origin, whereas others show affinities with those of neighbouring and other countries. None of the identified types is considered endangered, so conservation would be premature. A more formal and detailed genetic characterization, to add to the largely morphological and traditional classification, may, however, reveal such a need. |
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Abstract |
Abstract This paper describes the domestic livestock of the Republic of Yemen and aspires to complement earlier sources listing or partially describing `breeds'. It attempts to cover all species and provide indications of production parameters through a literature review and via field observations made by the author in 1999. Information is provided on livestock numbers and the economic importance of animal production. Most animals are kept in sedentary mixed crop-livestock production systems; transhumant systems have the next greatest number of stock; with nomadic systems being of least and declining importance. Yemen's livestock appear to comprise at least 11 breeds of sheep, 5 breeds of goat, 2 breeds of cattle, 4 breeds of camel, 2 breeds of donkey and 1 breed of horse. There are no data on breeds of poultry but domestic fowl (where clearly considerable diversity exists) and pigeons are kept. There is little formal information on the history and relationships of most breeds. Some appear to be of ancient local origin, whereas others show affinities with those of neighbouring and other countries. None of the identified types is considered endangered, so conservation would be premature. A more formal and detailed genetic characterization, to add to the largely morphological and traditional classification, may, however, reveal such a need. |
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Call Number |
Equine Behaviour @ team @ |
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4389 |
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