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1

Life tables for the common dormouse Muscardinus avellanarius in Lithuania

100%
Juskaitis R.
Acta Theriologica
|
1999
|
tom 44
|
nr 4
Life tables for two populations of the common dormouse Muscardinus avellanarius (Linnaeus, 1758) are presented. The mortality rates qx of the common dormouse appeared to be relatively constant and did not follow a typically mammalian "U" shaped curve with age. Mortality rates increased evenly with age both in females and males, in both populations, whereas a decrease in qx was observed only among males in their third year of life. Specific characteristics of the qx curve for the common dormouse include the relative longevity of this small rodent, and rather constant mortality during hibernation in all years of life.
2

Survival and hazard functions in the population of David's deer [Elaphurus davidianus Milne-Edwards, 1866]

86%
Molinska-Glura M., Szwaczkowski T., Molinski K.
Animal Science Papers and Reports
|
2004
|
tom 22
|
nr 2
Survival and hazard functions supply suitable information concerning changes in the population dynamics, especially in the case of species that are not subjected to artificial selection. One of such species is David’s deer (Elaphurus davidianus Milne-Edwards, 1866) that underwent a dramatic reduction in the population size in the first years of the XX century, but has been subsequently restored from 18 individuals.Population dynamics changes were studied on 1221 David’s deers kept in zoological gardens in the years 1947-2001. Survival and hazard functions were constructed for all individuals according to sex, and separately for those which died in the first year of life, i.e. 14.5% males and 8% females.The hazard function showed similar values for individuals of both sexes in the year 6, 10, 15, 17 and 18 of life. For all males the medians for mortality (hazard function) appeared similar to those for all females. Similar pattern was shown for yearlings. However, between day 40 and 323 shapes of these functions were quite different. Generally, the life span in females was found longer than in males.
3

Influence of weather conditions on populations of parasitic Hymenoptera in a beech forest on limestone

86%
Ulrich W.
Polskie Pismo Entomologiczne
|
2000
|
tom 69
|
nr 1
4
Artykuł dostępny w postaci pełnego tekstu - kliknij by otworzyć plik
Content available

Thyroid cancer risk assesment among the population of Pomeranian and West Pomeranian voivodeship (Poland)

72%
Kasiyan O., Tkachenko H., Kurhaluk N., Yurchenko S., Jazewicz I., Dunayevska S.
Baltic Coastal Zone. Journal of Ecology and Protection of the Coastline
|
2019
|
tom 23
5

Dispersal strategies in female bank voles, Clethrionomys glareolus [Schreber, 1780]

72%
Grum L., Bujalska G.
Polish Ecological Studies
|
1994
|
tom 20
|
nr 3-4
6

Why life histories are diverse

72%
Kozlowski J.
Polish Journal of Ecology
|
2006
|
tom 54
|
nr 4
Why do some animals weigh a fraction of a milligram and others many tons? Why do some animals mature after a few days and others need several years? Why do some animals grow and then reproduce without growing, while others continue growing after maturation? Why are growth curves so often well-approximated by von Bertalanffy’s equation? Why do some animals produce myriads of tiny eggs and others produce only a few large offspring? Evolution of life histories is driven basically by the size-dependences of three parameters: the resource acquisition rate, metabolic rate and mortality risk. The combinations of size-dependences of this trio produce a plethora of locally optimal life histories, and even more sub-optimal strategies which must coexist with optimal ones in the real world. Additionally, selection forces differ depending on whether a population stays most of the time at equilibrium or in an expansion phase. Life history evolution cannot be understood without mathematical modelling, and optimization of life-time resource allocation is a powerful approach to that, though not the only one. Modelling outcomes from studies based on resource allocation optimization are presented here mainly as graphs.
7
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Content available

Seasonal variability in the population dynamics of the main mesozooplankton species in the Gulf of Gdansk (Southern Baltic Sea): Production and mortality rates

58%
Dzierzbicka-Glowacka L., Kalarus M., Musialik-Koszarowska M., Lemieszek A., Zmijewska M. I.
Oceanologia
|
2015
|
tom 57
|
nr 1
8

Withdrawal of antibiotic growth promoters from pig nutrition - effects and future

58%
Grela E. R.
Polish Journal of Natural Sciences. Supplement
|
2006
|
tom 03
15-22
9

The status of the turbot Psetta maxima [L.] stock supporting the Baltic fishery

58%
Draganik B., Maksimov Y., Ivanov S., Psuty-Lipska I.
Bulletin of the Sea Fisheries Institute
|
2005
|
nr 1
10

Badania nad wpływem czynników środowiskowych na częstotliwość wczesnych upadków cieląt

37%
Glazer T., Zebracki A., Kuleta Z., Rotkiewicz T., Zdunczyk S., Kankofer M.
Acta Academiae Agriculturae ac Technicae Olstenensis. Veterinaria
|
1990
|
tom 19
11

Zakażenia Rhodococcus equi z uwzględnieniem sytuacji w Polsce oraz potencjalnego zagrożenia dla ludzi

37%
Witkowski L., Rzewuska M., Krawczyk A., Mickiewicz M., Moroz A., Markowska-Daniel I.
Lecznica Dużych Zwierząt. Ogólnopolski Kwartalnik dla Lekarzy Weterynarii
|
2017
|
tom 12
|
nr 1
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