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Relevant bibliographies by topics / Mouse population ecology

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Academic literature on the topic 'Mouse population ecology'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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Journal articles on the topic "Mouse population ecology"

1

Tokushima, Hideyuki, and Peter J. Jarman. "Ecology of the rare but irruptive Pilliga mouse, Pseudomys pilligaensis. III. Dietary ecology." Australian Journal of Zoology 58, no. 2 (2010): 85. http://dx.doi.org/10.1071/zo09107.

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The diet of the Pilliga mouse, Pseudomys pilligaensis, was analysed from 430 faecal samples collected from ~340 individuals across different seasons over a period of five years that included a wild fire and subsequent irruption and sharp decline of the population. The primary food items in all seasons were seeds and fruits from diverse plant species, but the mice also consumed a wide range of other foods, including leaves, invertebrates, fungi and mosses. Invertebrates, the second most abundant type of food item, were eaten in all seasons but, with fungi, increased in winter and spring when consumption of seeds and fruits declined. Mice consumed significantly more fungi and mosses before the wild fire than after it. Diets differed between sites rather little in the proportions of food categories, but greatly in the relative proportions of particular seed types in the seed+fruit category. The population irruption could have been triggered by a high reproductive rate that coincided with higher consumption by females of protein-rich foods such as invertebrates and fungi. Population density collapsed at sites as soil stores of utilisable seeds became depleted, mice surviving where their diet could remain diverse.

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Diete, Rebecca L., Paul D. Meek, Christopher R. Dickman, and Luke K. P. Leung. "Ecology and conservation of the northern hopping-mouse (Notomys aquilo)." Australian Journal of Zoology 64, no. 1 (2016): 21. http://dx.doi.org/10.1071/zo15082.

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The northern hopping-mouse (Notomys aquilo) is a cryptic and enigmatic rodent endemic to Australia’s monsoonal tropics. Focusing on the insular population on Groote Eylandt, Northern Territory, we present the first study to successfully use live traps, camera traps and radio-tracking to document the ecology of N. aquilo. Searches for signs of the species, camera trapping, pitfall trapping and spotlighting were conducted across the island during 2012–15. These methods detected the species in three of the 32 locations surveyed. Pitfall traps captured 39 individuals over 7917 trap-nights. Females were significantly longer and heavier, and had better body condition, than males. Breeding occurred throughout the year; however, the greatest influx of juveniles into the population occurred early in the dry season in June and July. Nine individuals radio-tracked in woodland habitat utilised discrete home ranges of 0.39–23.95 ha. All individuals used open microhabitat proportionally more than was available, and there was a strong preference for eucalypt woodland on sandy substrate rather than for adjacent sandstone woodland or acacia shrubland. Camera trapping was more effective than live trapping at estimating abundance and, with the lower effort required to employ this technique, it is recommended for future sampling of the species. Groote Eylandt possibly contains the last populations of N. aquilo, but even there its abundance and distribution have decreased dramatically in surveys over the last several decades. Therefore, we recommend that the species’ conservation status under the Environment Protection and Biodiversity Conservation Act 1999 be changed from ‘vulnerable’ to ‘endangered’.

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Scott, Marilyn E. "Regulation of mouse colony abundance by Heligmosomoides polygyrus." Parasitology 95, no. 1 (August 1987): 111–24. http://dx.doi.org/10.1017/s0031182000057590.

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SUMMARYDespite the ubiquitous presence of parasites, parasitism has not been considered among the list of regulatory factors in animal populations until recently. A detailed long-term study on the impact of the direct life-cycle nematode Heligmosomoides polygyrus on a breeding population of laboratory mice provides a clear example of the ability of helminths to regulate host abundance. In the absence of the parasite, the mouse population equilibrated at a density of 320 mice/m2 as a result of density-dependent effects on recruitment. When the parasite was added and transmission was maintained at high levels, infected mouse populations equilibrated at densities of < 18 mice/m2. Reduced rates of parasite transmission and elimination of the parasite from the system both resulted in an increase in mouse density. These results have implications for both ecology and parasitology as they demonstrate a potentially important but often ignored component of host populations that may well influence host abundance and community structure.

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Cawthorn, J. Michelle, and Robert K. Rose. "The Population Ecology of the Eastern Harvest Mouse (Reithrodontomys humulis) in Southeastern Virginia." American Midland Naturalist 122, no. 1 (July 1989): 1. http://dx.doi.org/10.2307/2425677.

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Skupski, M. P. "Population Ecology of the Western Harvest Mouse, Reithrodontomys megalotis: A Long-Term Perspective." Journal of Mammalogy 76, no. 2 (May 19, 1995): 358–67. http://dx.doi.org/10.2307/1382347.

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Tokushima, Hideyuki, and Peter J. Jarman. "Ecology of the rare but irruptive Pilliga mouse, Pseudomys pilligaensis. IV. Habitat ecology." Australian Journal of Zoology 63, no. 1 (2015): 28. http://dx.doi.org/10.1071/zo14057.

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We determined preferences of the Pilliga mouse, Pseudomys pilligaensis, for habitat attributes (ground and vegetation cover) through phases of a population irruption, and characterised refuge sites used when environmental conditions were unfavourable. In general, P. pilligaensis preferred areas with substrate dominated by sand and shrubs rather than rock or litter. However, its habitat selection changed with phases of the irruption. In the Increase phase, it showed no strong habitat preferences, perhaps because the abundance of food (seeds) overrode preferences for more stable habitat values. Its sensitivity to habitat variables increased in the Peak phase. In the Low phase, mice preferred ground cover with higher proportions of sand and shrubs, and lower proportions of rock and litter. Regression analyses suggested that sandy substrate is the most important factor for the refuge habitat of P. pilligaensis, perhaps because a sandy surface can support more understorey shrubs which provide seeds and protection from predators, and provides sites for burrows. Judging from areas where P. pilligaensis was caught during the Low phase, water run-on areas could also characterise refuge habitats. However, further studies are needed to define the species’ refuge habitats fully.

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7

Pople, Anthony, Joe Scanlan, Peter Cremasco, and Julianne Farrell. "Population dynamics of house mice in Queensland grain-growing areas." Wildlife Research 40, no. 8 (2013): 661. http://dx.doi.org/10.1071/wr13154.

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Context Irregular plagues of house mice cause high production losses in grain crops in Australia. If plagues can be forecast through broad-scale monitoring or model-based prediction, then mice can be proactively controlled by poison baiting. Aims To predict mouse plagues in grain crops in Queensland and assess the value of broad-scale monitoring. Methods Regular trapping of mice at the same sites on the Darling Downs in southern Queensland has been undertaken since 1974. This provides an index of abundance over time that can be related to rainfall, crop yield, winter temperature and past mouse abundance. Other sites have been trapped over a shorter time period elsewhere on the Darling Downs and in central Queensland, allowing a comparison of mouse population dynamics and cross-validation of models predicting mouse abundance. Key results On the regularly trapped 32-km transect on the Darling Downs, damaging mouse densities occur in 50% of years and a plague in 25% of years, with no detectable increase in mean monthly mouse abundance over the past 35 years. High mouse abundance on this transect is not consistently matched by high abundance in the broader area. Annual maximum mouse abundance in autumn–winter can be predicted (R2 = 57%) from spring mouse abundance and autumn–winter rainfall in the previous year. In central Queensland, mouse dynamics contrast with those on the Darling Downs and lack the distinct annual cycle, with peak abundance occurring in any month outside early spring. On average, damaging mouse densities occur in 1 in 3 years and a plague occurs in 1 in 7 years. The dynamics of mouse populations on two transects ~70 km apart were rarely synchronous. Autumn–winter rainfall can indicate mouse abundance in some seasons (R2 = ~52%). Conclusion Early warning of mouse plague formation in Queensland grain crops from regional models should trigger farm-based monitoring. This can be incorporated with rainfall into a simple model predicting future abundance that will determine any need for mouse control. Implications A model-based warning of a possible mouse plague can highlight the need for local monitoring of mouse activity, which in turn could trigger poison baiting to prevent further mouse build-up.

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Khanam, Surrya, Muhammad Mushtaq, Muhammad Sajid Nadeem, and Amjad Rashid Kayani. "Population ecology of the house mouse (Mus musculus) in rural human habitations of Pothwar, Pakistan." Zoology and Ecology 27, no. 2 (March 28, 2017): 106–13. http://dx.doi.org/10.1080/21658005.2017.1307536.

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Mutze, GJ. "Mouse plagues in South Australia cereal-growing areas III. Changes in mouse abundance during plague and non-plague years, and the role of refugia." Wildlife Research 18, no. 5 (1991): 593. http://dx.doi.org/10.1071/wr9910593.

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Mouse populations were monitored at 15 sites between 1980 and 1990, during which time one severe mouse plague, in 1980, and one minor outbreak, in 1984, were recorded. Smaller annual peaks in autumn to early winter were followed by winter population declines. Crops were colonised each year in late winter or early spring by mice from winter refuge habitats with dense, low vegetation, including roadsides and grassland along a railway line. In most years mouse numbers in crops declined during summer, but in 1983-84 they rose continuously during summer and autumn, and reached very high levels. Crops planted in 1984 were invaded by large numbers of mice which had survived through winter in the paddocks, but population levels again crashed in late spring and summer. Recorded population changes were generally consistent with plague probabilities predicted from environmental variables, except in 1985 when numbers failed to reach the predicted high levels at most sites. Population changes in crops during late spring appear to be critical in the development of mouse plagues. Large litter sizes and pregnancy rates, and variable survival rates and size of the breeding population, appear to be important factors at that time.

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Gregory, R. D. "Parasite Epidemiology and Host Population Growth: Heligmosomoides polygyrus (Nematoda) in Enclosed Wood Mouse Populations." Journal of Animal Ecology 60, no. 3 (October 1991): 805. http://dx.doi.org/10.2307/5415.

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Dissertations / Theses on the topic "Mouse population ecology"

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Gregory, Richard D. "Host-parasite interactions : population and community ecology." Thesis, University of Oxford, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.276582.

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Ferron, Sarah E. "The effects of habitat fragmentation and spatial scale on the population dynamics of the wood mouse (Apodemus sylvaticus L.)." Thesis, Queen's University Belfast, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263369.

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Cramer, Michael John. "The Effects of Bot Fly (Cuterebra Fontinella) Parasitism on the Ecology and Behavior of the White-Footed Mouse (Peromyscus Leucopus)." Cincinnati, Ohio : University of Cincinnati, 2006. http://www.ohiolink.edu/etd/view.cgi?ucin1141062166.

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Thesis (Ph. D.)--University of Cincinnati, 2006.
Advisor: Dr. Guy N. Cameron. Title from electronic thesis title page (viewed May 20, 2008). Keywords: parasitism; sexual selection; behavioral ecology; population ecology; movement; Peromyscus leucopus; Cuterebra fontinella. Includes abstract. Includes bibliographical references.

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Smiley, Sarah A. "The Distribution and Population Dynamics of the Golden Mouse (Ochrotomys nuttalli) at Its Southern Range Periphery." Scholar Commons, 2010. https://scholarcommons.usf.edu/etd/1776.

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This research assesses the status of the golden mouse (Ochrotomys nuttalli) in Florida by taking a multi-pronged approach. Geographic Information Systems (GIS) was used to understand the distribution of habitats and occurrence records for this species within the state. Presence-absence trapping occurred at 13 study sites to determine if historic southern periphery populations were still occupied, gauge if more central populations were being maintained, and document golden mice in previously unrecorded areas. In addition, surveys for O. nuttalli took place at regular intervals at the USF Ecological Research Area to understand how populations of this species fluctuate over time and ensure that individuals could be caught during the months when statewide trapping was occurring. Trapping data from all 14 sites were combined to determine a level of confidence for absences at each site which did not yield a golden mouse capture. Finally, I determined the relative abundance of golden mice relative to other small mammal species caught. Locality records for this species align closely with the distribution of hardwood-containing habitats in Florida. The distribution of O. nuttalli is not continuous across Florida and becomes increasingly patchy near the southern range periphery of this species. In south-central Florida, populations are restricted to regions where hardwoods extend south along one of three upland ridges. Golden mice were determined to be present in the vicinity of the southernmost historic sites on each of these ridges. Ochrotomys nuttalli were captured at six of the 13 sites surveyed. At the USF Ecological Research Area, O. nuttalli were captured in all months surveyed although abundances remained relatively low from October through January and then increased from February through May. At study sites which did not catch a golden mouse, 78.6 to 100% of the trapping periods which successfully caught a golden mouse had done so by the effort levels invested at these absent sites. Ochrotomys nuttalli was the fourth most abundant of 12 species captured, but several of the species caught less frequently than golden mice are non-native or too large to have their true abundance reflected by these trapping methods.

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Havers, Steven John. "The ecology of wood mouse (Apodemus sylvaticus) populations in contrasting farmland habitats." Thesis, University of Southampton, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.328622.

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6

Langlois, Jean Carleton University Dissertation Biology. "Landscape structure and the distribution of Sin Nombre hantavirus in deer mouse Peromyscus maniculatus populations." Ottawa, 1996.

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7

Ruprecht, Joel S. "The Demography and Determinants of Population Growth in Utah Moose (Alces Alces Shirasi)." DigitalCommons@USU, 2016. https://digitalcommons.usu.edu/etd/4723.

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Moose in Utah represent the southernmost naturally occurring populations of moose in the world. Concerns over possible numeric declines and a paucity of baseline data on moose in the state prompted the Utah Division of Wildlife Resources to initiate a study of moose demography in collaboration with Utah State University. The objectives of this study were to 1) determine reproductive rates of moose in Utah and the factors which influence them, and 2) combine aerial count data from multiple management units within the state to identify factors which influence interannual variation in population growth rates. We constructed generalized linear models to relate maternal body condition and age to reproductive success. We found that body condition (P = 0.01) and age (P = 0.02) contributed significantly to the probability of pregnancy and the best model describing this relationship was nonlinear. Body condition also related positively to subsequent calving (P = 0.08) and recruitment (P = 0.05), but model selection suggested the relationship for these metrics was best described by linear models. A meta-analysis of moose reproductive rates in North America suggested that reproductive rates declined significantly with latitude (P ≤ 0.01), i.e. as populations approached their southern range limit. We used Bayesian state-space models to combine moose count data from different management units to estimate statewide population dynamics between 1958 and 2013. This approach incorporated uncertainty in population counts arising from observation error. Population density and warm winter temperatures negatively influenced population growth rate with a high degree of confidence; 95% Bayesian Credible Intervals for these variables did not overlap zero. Short-term projections of moose abundance in the state suggested that the population will likely remain stable despite projected increases in winter temperature. Results from this study will aid managers in achieving management objectives as well as future decision making. The unique characteristics of the population also have application toward understanding the dynamics of populations of cold-adapted species at their southern range limit.

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Persson, Inga-Lill. "Moose population density and habitat productivity as drivers of ecosystem processes in northern boreal forests /." Umeå : Dept. of Animal Ecology, Swedish Univ. of Agricultural Sciences, 2003. http://epsilon.slu.se/s272.pdf.

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Månsson, Johan. "Moose management and browsing dynamics in boreal forest /." Uppsala : Dept. of Ecology, Swedish University of Agricultural Sciences, 2007. http://epsilon.slu.se/200782.pdf.

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Books on the topic "Mouse population ecology"

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Bisset, Alan R. Moose population inventory plan for Ontario: 1996-1998. Thunder Bay, Ont: Ontario Ministry of Natural Resources, Northwest Science & Technology, 1996.

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2

MacCracken, James G. Habitat relationships of moose on the Copper River Delta in coastal south-central Alaska. Bethesda, MD: Wildlife Society, 1997.

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MacCracken, James G. Habitat relationships of moose on the Copper River Delta in coastal south-central Alaska. Bethesda, MD: The Wildlife Society, 1997.

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Book chapters on the topic "Mouse population ecology"

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Bowyer, R. Terry, Victor Van Ballenberghe, and John G. Kie. "The Role of Moose in Landscape Processes: Effects of Biogeography, Population Dynamics, and Predation." In Wildlife and Landscape Ecology, 265–87. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1918-7_10.

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Tatar, Marc. "Senescence." In Evolutionary Ecology. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780195131543.003.0015.

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At all taxonomic levels, there exists tremendous variation in life expectancy. A field mouse Peromyscus may live 1.2 years, while the African elephant may persist for 60 years, and even a mousesized bat such as Corynorhinus rafinesquei lives a healthy 20 years (Promislow 1991). Part of this variance is caused by differences in ecological risks, rodents being perhaps the most susceptible to predation, and to vagaries of climate and resources. Another portion is caused by differences in senescence, the intrinsic degeneration of function that produces progressive decrement in age-specific survival and fecundity. Senescence occurs in natural populations, where it affects life expectancy and reproduction as can be seen, for instance, from the progressive change in age-specific mortality and maternity of lion and baboon in East Africa. The occurrence of senescence and of the widespread variation in longevity presents a paradox: How does the age-dependent deterioration of fitness components evolve under natural selection? The conceptual and empirical resolutions to this problem will be explored in this chapter. We shall see that the force of natural selection does not weigh equally on all ages and that there is therefore an increased chance for genes with late-age-deleterious effects to be expressed. Life histories are expected to be optimized to regulate intrinsic deterioration, and in this way, longevity evolves despite the maladaptive nature of senescence. From this framework, we will then consider how the model is tested, both through studies of laboratory evolution and of natural variation, and through the physiological and molecular dissection of constraints underlying trade-offs between reproduction and longevity. As humans are well aware from personal experience, performance and physical condition progressively deteriorate with adult age. And in us, as well as in many other species, mortality rates progressively increase with cohort age. Medawar (1955), followed by Williams (1957), stated the underlying assumption connecting these events: Senescent decline in function causes a progressive increase in mortality rate. Although mortality may increase episodically across some age classes, such as with increases in reproductive effort, we assume that the continuous increase of mortality across the range of adult ages represents our best estimate of senescence.

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Bryant, John P., and Roger W. Ruess. "Mammalian Herbivory, Ecosystem Engineering, and Ecological Cascades in Alaskan Boreal Forests." In Alaska's Changing Boreal Forest. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780195154313.003.0019.

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The mammalian herbivores of the taiga forests include members of the largest (moose) and smallest (microtines) vertebrates that inhabit North American terrestrial biomes. Their abundance in a particular area fluctuates dramatically due to seasonal use of particular habitats (moose) and external factors that influence demographic processes (microtines). The low visibility of herbivores to the casual observer might suggest that these animals have minimal influence on the structure and the function of boreal forests. On the contrary, seedling herbivory by voles, leaf stripping by moose, or wholesale logging of mature trees by beaver can profoundly change forest structure and functioning. These plant-herbivore interactions have cascading effects on the physical, chemical, and biological components of the boreal ecosystem that shape the magnitude and direction of many physicochemical and biological processes. These processes, in turn, control the vertical and horizontal interactions of the biological community at large. Herbivores act as ecosystem engineers (Jones et al. 1994) in that they reshape the physical characteristics of the habitat, modify the resource array and population ecology of sympatric species, and influence the flux of energy and nutrients through soils and vegetation. Additionally, many herbivores are central to a variety of human activities. Both consumptive and nonconsumptive use of wildlife represents a pervasive aspect of life in the North. In this chapter, we examine the interactions of mammalian herbivores with their environment, with an emphasis on moose, and attempt to delineate the biotic and abiotic conditions under which herbivores influence the phenotypic expression of vegetation. We also examine the role of herbivores, and of wildlife in general, in the context of human perceptions and interactions with their environment. Human-environment interactions are both direct and indirect and pertain to a variety of social expressions. The relationship between humans and wildlife has economic, cultural, and psychological dimensions, which underscore the importance of these animals in a broader social, as well as ecological, context. Northern ecosystems such as the boreal forest are characterized by extreme seasonality and pronounced change in resource availability between summer and winter. Not surprisingly, these conditions are reflected in the population dynamics of the animals that inhabit these environments, particularly in smaller-bodied herbivores.

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