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Journal articles on the topic 'Populations'

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Author: Grafiati

Published: 4 June 2021

Last updated: 31 August 2024

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1

Степанов, В. А. "Population Genomics of Russian populations." Nauchno-prakticheskii zhurnal «Medicinskaia genetika», no. 7(216) (July 30, 2020): 6–7. http://dx.doi.org/10.25557/2073-7998.2020.07.6-7.

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Популяционная геномика человека является мощным современным подходом в популяционной генетике, базирующемся на технологиях геномного секвенирования, биоинформатики и анализа больших данных. Геномный анализ генетической вариабельности в популяциях является фундаментальной основой генетики болезней и разработки путей их диагностики, терапии и профилактики. В работе представлены собственные данные о геномном анализе генетического разнообразия населения России. Показано, что генофонд современных народов России формировался на протяжении многих тысяч лет в ходе совокупного влияния миграций, изоляции расстоянием, эффектов основателя и естественного отбора. Сформировавшиеся в ходе микроэволюции геномные паттерны современных популяций в существенной мере определяют композицию генетических факторов как частых хронических, так и редких моногенных заболеваний. Human population genomics is a powerful modern approach in population genetics based on technologies of genomic sequencing, bioinformatics, and big data analysis. Genomic analysis of genetic variability in populations is a fundamental basis for the genetics of diseases and the development of ways for their diagnosis, therapy and prevention. The work presents the own data on the genomic analysis of the genetic diversity of the Russian populations. It is shown that the gene pool of modern populations of Russia was formed over many thousands of years by the combined effects of migrations, isolation by distance, founder effects and natural selection. The genomic patterns of modern populations formed during microevolution substantially determine the composition of genetic factors of both frequent chronic and rare monogenic diseases.

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2

Tyner, James A. "Population geography I: Surplus populations." Progress in Human Geography 37, no. 5 (January 31, 2013): 701–11. http://dx.doi.org/10.1177/0309132512473924.

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3

Huang, Song, Wei Zheng, Xiangpeng Liang, Qingda Duan, Juan Wang, Yaoqing Sun, and Tianxiao Ma. "SNPs Detection and Genetic Analysis of Chionanthus retusus via Genotyping-by-Sequencing." Silvae Genetica 72, no. 1 (January 1, 2023): 118–25. http://dx.doi.org/10.2478/sg-2023-0012.

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Abstract Chionanthus retusus is one of the well-known ornamental trees in East Asia and America. Not only its value in the market but also had the potential as a source for producing antioxidant. However, due to uncontrolled exploitation, the number of wild C. retusus in China is decreasing rapidly. The genetic study of C. retusus is limited. In order to investigate the genetic diversity and the distribution of C. retusus in China, 47 samples from 8 different provinces have been sequenced via restriction site-associated DNA sequencing (RAD-seq). Totally, 31, 402 high-quality single nucleotide polymorphisms (SNP) were obtained. According to the phylogenetic tree and the principal component analysis, the samples were divided into four populations, including 3 major populations and 1 hybrid population. Population1 were the samples from Jiangsu and Yunnan province and the Population2 were mainly from northern and northeast of China including Liaoning and Hubei province, while the Population4 were from Shandong and Henan province, which were in central China. As the admixture showed, the population3 were the offspring of the other 3 populations by hybridization. The mean heterozygosity of Chinese Fringe tree from different province is 0.42 %, with the highest heterozygosity, which is as high as 0.63 %, from Jiangsu province and the lowest heterozygosity, which is only 0.19, from Henan province. This is the first report about the genetic diversity and relationship of Chionanthus retusus, which will provide value information for further genetic study, genomic study, conservation and breeding.

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4

Park, Leeyoung. "Effective Population Size of Korean Populations." Genomics & Informatics 12, no. 4 (2014): 208. http://dx.doi.org/10.5808/gi.2014.12.4.208.

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5

SCHEMSKE, D. W. "Plant Populations: Perspectives on Plant Population Ecology." Science 227, no. 4685 (January 25, 1985): 405–6. http://dx.doi.org/10.1126/science.227.4685.405.

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6

Bulaeva, K. B. (Kazima Bagdadovna), Lynn B. Jorde, Christopher Ostler, Scott Watkins, Oleg Bulayev, and Henry Harpending. "Genetics and Population History of Caucasus Populations." Human Biology 75, no. 6 (2003): 837–53. http://dx.doi.org/10.1353/hub.2004.0003.

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7

Goodnight, C. J. "Population genetics: Peak shifts in large populations." Heredity 96, no. 1 (October 12, 2005): 5–6. http://dx.doi.org/10.1038/sj.hdy.6800746.

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8

Zhang, F., Z. Han, L. Li, and J. R. Hurley. "Evolutionary population synthesis for binary stellar populations." Astronomy & Astrophysics 415, no. 1 (February 2004): 117–22. http://dx.doi.org/10.1051/0004-6361:20031268.

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9

Feng-Hui, Zhang, Han Zhan-Wen, Li Li-Fang, and Jarrod R. Hurley. "Evolutionary Population Synthesis for Single Stellar Populations." Chinese Physics Letters 19, no. 11 (November 2002): 1734–37. http://dx.doi.org/10.1088/0256-307x/19/11/349.

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10

Pfaff, Carrie L., Rick A. Kittles, and Mark D. Shriver. "Adjusting for population structure in admixed populations." Genetic Epidemiology 22, no. 2 (January 10, 2002): 196–201. http://dx.doi.org/10.1002/gepi.0126.

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11

Laporte, Valérie, and Brian Charlesworth. "Effective Population Size and Population Subdivision in Demographically Structured Populations." Genetics 162, no. 1 (September 1, 2002): 501–19. http://dx.doi.org/10.1093/genetics/162.1.501.

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AbstractA fast-timescale approximation is applied to the coalescent process in a single population, which is demographically structured by sex and/or age. This provides a general expression for the probability that a pair of alleles sampled from the population coalesce in the previous time interval. The effective population size is defined as the reciprocal of twice the product of generation time and the coalescence probability. Biologically explicit formulas for effective population size with discrete generations and separate sexes are derived for a variety of different modes of inheritance. The method is also applied to a nuclear gene in a population of partially self-fertilizing hermaphrodites. The effects of population subdivision on a demographically structured population are analyzed, using a matrix of net rates of movement of genes between different local populations. This involves weighting the migration probabilities of individuals of a given age/sex class by the contribution of this class to the leading left eigenvector of the matrix describing the movements of genes between age/sex classes. The effects of sex-specific migration and nonrandom distributions of offspring number on levels of genetic variability and among-population differentiation are described for different modes of inheritance in an island model. Data on DNA sequence variability in human and plant populations are discussed in the light of the results.

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12

Nagylaki, T. "The inbreeding effective population number in dioecious populations." Genetics 139, no. 1 (January 1, 1995): 473–85. http://dx.doi.org/10.1093/genetics/139.1.473.

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Abstract The inbreeding effective population number in a dioecious population with discrete, nonoverlapping generations is investigated for both autosomal and X-linked loci. The recursion relations for the probabilities of genic identity, and the effective population numbers are analyzed and compared in two cases: (i) the offspring identified by sex in the calculation of the probability of common parentage and (ii) the offspring not so identified. Case i gives the correct evolution of the probabilities of identity, but case ii has been more widely studied and applied. A general symmetric framework that reduces the number of parameters is developed and used to examine a wide variety of models of panmixia and monogamy. Cases i and ii agree in many, but not all, models.

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13

Nagylaki, T. "The Inbreeding Effective Population Number in Dioecious Populations." Genetics 139, no. 3 (March 1, 1995): 1463d. http://dx.doi.org/10.1093/genetics/139.3.1463c.

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14

Molofsky, Jane. "Population Dynamics and Pattern Formation in Theoretical Populations." Ecology 75, no. 1 (January 1994): 30–39. http://dx.doi.org/10.2307/1939379.

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15

Sosa-Macias, Martha, Graciela E. Moya, Adrián LLerena, Ronald Ramírez, Enrique Terán, Eva M. Peñas-LLedó, Eduardo Tarazona-Santos, Carlos Galaviz-Hernández, Carolina Céspedes-Garro, and Hildaura Acosta. "Population pharmacogenetics of Ibero-Latinoamerican populations (MESTIFAR 2014)." Pharmacogenomics 16, no. 7 (May 2015): 673–76. http://dx.doi.org/10.2217/pgs.15.32.

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16

Milovanovic, Jasmina, and Slobodan Jankovic. "Population pharmacokinetic of antiepileptic drugs in different populations." Open Medicine 8, no. 4 (August 1, 2013): 383–91. http://dx.doi.org/10.2478/s11536-013-0158-5.

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AbstractThis article reviews a population pharmacokinetics studies conducted during the past few years in Serbia. Studies have included three the most frequently used antiepileptic drugs (valproate, carbamazepine and lamotrigine) and different populations of epileptic patients: children, adults and heterogeneous population composed of both children and adults. The review compares obtained values of population pharmacokinetic models of clearance of these drugs, and factors that are significantly determined, making brief comments on the results of other authors on the same topic. Individualization of drug dosage is the basis of rational therapy, and factors of variability will always be subject of scientific research.

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17

Gruber, Stephen B. "Population stratification in epidemiologic studies of founder populations." Cancer Biomarkers 3, no. 3 (June 1, 2007): 123–28. http://dx.doi.org/10.3233/cbm-2007-3302.

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18

Nunney, Leonard, and Diane R. Elam. "Estimating the Effective Population Size of Conserved Populations." Conservation Biology 8, no. 1 (March 1994): 175–84. http://dx.doi.org/10.1046/j.1523-1739.1994.08010175.x.

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19

Minto, Coilín, Ransom A. Myers, and Wade Blanchard. "Survival variability and population density in fish populations." Nature 452, no. 7185 (March 2008): 344–47. http://dx.doi.org/10.1038/nature06605.

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20

DOBSON, ANDREW P., and ANNA MARIE LEES. "The Population Dynamics and Conservation of Primate Populations." Conservation Biology 3, no. 4 (December 1989): 362–80. http://dx.doi.org/10.1111/j.1523-1739.1989.tb00242.x.

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21

Keegan, Lindsay T., and Jonathan Dushoff. "Estimating finite-population reproductive numbers in heterogeneous populations." Journal of Theoretical Biology 397 (May 2016): 1–12. http://dx.doi.org/10.1016/j.jtbi.2016.01.022.

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22

Lambert, Amaury. "Population genetics, ecology and the size of populations." Journal of Mathematical Biology 60, no. 3 (August 6, 2009): 469–72. http://dx.doi.org/10.1007/s00285-009-0286-3.

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23

Hein, S., and J. Jacob. "Recovery of small rodent populations after population collapse." Wildlife Research 42, no. 2 (2015): 108. http://dx.doi.org/10.1071/wr14165.

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In this review we summarise published knowledge regarding small mammal population recovery following sudden population collapse, regardless as to whether the collapse is caused by natural or man-made events. We determine recovery mechanisms, recovery time and recovery rate, and suggest how to adapt and optimise current methods to regulate small mammal population size, for pest management and/or conservation. It is vital that the principles underlying the recovery mechanisms are known for both pest control and conservation to align management methods to either maintain animal numbers at a permanent minimum level or increase population size. Collapses can be caused naturally, as in the declining phase of multi-annual fluctuations and after natural disasters, or by man-made events, such as pesticide application. In general, there are three ways population recovery can occur: (1) in situ survival and multiplication of a small remaining fraction of the population; (2) immigration; or (3) a combination of the two. The recovery mechanism strongly depends on life history strategy, social behaviour and density-dependent processes in population dynamics of the species in question. In addition, the kind of disturbance, its intensity and spatial scale, as well as environmental circumstances (e.g. the presence and distance of refuge areas) have to be taken into account. Recovery time can vary from a couple of days to several years depending on the reproductive potential of the species and the type of disturbances, regardless of whether the collapse is man made or natural. Ultimately, most populations rebound to levels equal to numbers before the collapse. Based on current knowledge, case-by-case decisions seem appropriate for small-scale conservation. For pest control, a large-scale approach seems necessary. Further investigations are required to make sound, species-specific recommendations.

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24

Lehoczky, István, Desiré L. Dalton, József Lanszki, Zoltán Sallai, M. Thabang Madisha, Lisa J. Nupen, and Antoinette Kotzé. "Assessment of population structure in Hungarian otter populations." Journal of Mammalogy 96, no. 6 (September 6, 2015): 1275–83. http://dx.doi.org/10.1093/jmammal/gyv136.

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25

PURCELL, A. H., and S. E. LINDOW. "Pathogens and Populations: Diseases and Plant Population Biology." Science 238, no. 4824 (October 9, 1987): 221. http://dx.doi.org/10.1126/science.238.4824.221-a.

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26

Schulwitz, Sarah, Jeff Johnson, and Bryan Bedrosian. "Low Neutral Genetic Diversity in an Isolated Greater Sage Grouse (Centrocercus Urophasianus) Population in Northwest Wyoming." UW National Parks Service Research Station Annual Reports 35 (January 1, 2012): 119–33. http://dx.doi.org/10.13001/uwnpsrc.2012.3943.

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Habitat loss is well recognized as an immediate threat to biodiversity. Depending on the dispersal capabilities of the species, increased habitat fragmentation often results in reduced functional connectivity and gene flow followed by population decline and a higher likelihood of eventual extinction. Knowledge of the degree of connectivity between populations is therefore crucial for better management of small populations in a changing landscape. A small population of greater sage-grouse (Centrocercus urophasianus) exists in northwest Wyoming within the Jackson Hole valley, including Grand Teton National Park and the National Elk Refuge. To what degree the Jackson population is isolated is not known as natural dispersal barriers in the form of mountains and anthropogenic habitat fragmentation may limit the populationâs connectivity to adjacent populations. Using 16 microsatellite loci and 300 greater sage-grouse samples collected throughout Wyoming and southeast Montana, significant population differentiation was found to exist among populations. Results indicated that the Jackson population was isolated relative to the other sampled populations, including Pinedale, its closest neighboring large population to the south. The one exception was a small population immediately to the east of Jackson, in which asymmetric dispersal from Jackson into Gros Ventre was detected. Both Jackson and Gros Ventre populations exhibited significantly reduced levels of neutral genetic diversity relative to other sampled populations. More work is warranted to determine the timing at which Jackson and Gros Ventre populations had become isolated and whether it was primarily due to recent habitat fragmentation or more historic processes. Due to its small population size, continual monitoring of the population is recommended with the goal of at least maintaining current population size and, if possible, increasing suitable habitat and population size to levels recorded in the past.

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27

Mukherjee, B. N., K. C. Malhotra, M. Roy, S. banerjee, H. Walter, and R. Chakraborty. "Genetic heterogeneity and population structure in eastern India: Red cell enzyme variability in ten Assamese populations." Zeitschrift für Morphologie und Anthropologie 77, no. 3 (May 3, 1989): 287–96. http://dx.doi.org/10.1127/zma/77/1989/287.

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28

Koch, Marcus, Marion Huthmann, and Karl-Georg Bernhardt. "Population dynamics of Cardamine amara L. (Brassicaceae): Evidence from the soil seed bank and aboveground populations." Botanische Jahrbücher für Systematik, Pflanzengeschichte und Pflanzengeographie 125, no. 4 (September 7, 2004): 405–29. http://dx.doi.org/10.1127/0006-8152/2004/0125-0405.

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29

Curran, Dara, and Colm O'Riordan. "The Effects of Cultural Learning in Populations of Neural Networks." Artificial Life 13, no. 1 (January 2007): 45–67. http://dx.doi.org/10.1162/artl.2007.13.1.45.

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Population learning can be described as the iterative Darwinian process of fitness-based selection and genetic transfer of information leading to populations of higher fitness and is often simulated using genetic algorithms. Cultural learning describes the process of information transfer between individuals in a population through non-genetic means. Cultural learning has been simulated by combining genetic algorithms and neural networks using a teacher-pupil scenario where highly fit individuals are selected as teachers and instruct the next generation. By examining the innate fitness of a population (i.e., the fitness of the population measured before any cultural learning takes place), it is possible to examine the effects of cultural learning on the population's genetic makeup. Our model explores the effect of cultural learning on a population and employs three benchmark sequential decision tasks as the evolutionary task for the population: connect-four, tic-tac-toe, and blackjack. Experiments are conducted with populations employing population learning alone and populations combining population and cultural learning. The article presents results showing the gradual transfer of knowledge from genes to the cultural process, illustrated by the simultaneous decrease in the population's innate fitness and the increase of its acquired fitness measured after learning takes place.

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30

Lawrence, J. P. "Differential responses to forest edges among populations of Oophaga pumilio (Anura: Dendrobatidae) from Panama." Phyllomedusa: Journal of Herpetology 17, no. 2 (December 18, 2018): 247–53. http://dx.doi.org/10.11606/issn.2316-9079.v17i2p247-253.

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Differential responses to forest edges among populations of Oophaga pumilio (Anura: Dendrobatidae) from Panama. As habitat fragmentation increasingly becomes a prevalent feature in tropical systems, investigating how such novel features affect the distribution of species is of vital importance for understanding species’ ecology and conservation concerns. Species that show interpopulation variation in features that may affect their ecology (i.e., coloration) should be of high priority for elucidating the effects fragmentation may have. It is possible that these features unique to certain populations could promote or constrain the population’s ability to adapt to change. I investigated nine populations of the Strawberry Poison Frog (Oophaga pumilio) throughout the Bocas del Toro archipelago in Panama. By running transects from forest edge into interior forest, I assessed both population density and individual distance from forest edge for each population. One population was signifcantly denser than six of the other eight populations. Three populations showed increased numbers farther from forest edges while six populations showed no variation. This research highlights how reactions to habitat fragmentation may be population specifc, possibly linked to physical traits of individuals within the population. This research suggests that high interpopulation variation should be taken into account when examining species’ reactions to environmental perturbations.

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31

Garcia-Garcia, Guillermo, and Vivekanand Jha. "CKD in Disadvantaged Populations." Turkish Nephrology Dialysis Transplantation 24, no. 01 (January 26, 2015): 1–5. http://dx.doi.org/10.5262/tndt.2015.1001.01.

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32

Beerli, Peter. "Effect of unsampled populations on the estimation of population sizes and migration rates between sampled populations." Molecular Ecology 13, no. 4 (April 2004): 827–36. http://dx.doi.org/10.1111/j.1365-294x.2004.02101.x.

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33

Múdry, P., and J. Kraic. "Inter- and intra-population variation of local maize (Zea mays L.) populations from Slovakia and Czech Republic." Czech Journal of Genetics and Plant Breeding 43, No. 1 (January 7, 2008): 7–15. http://dx.doi.org/10.17221/1904-cjgpb.

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Evaluation of genetic variation was performed within 62 local maize populations originating from Slovakia and Czech Republic. In total 48 alleles at 22 analyzed isoenzyme loci with an average of 2.2 alleles per locus were revealed. The percentage of polymorphic loci ranged from 14% to 59% and the frequencies of detected alleles varied from null to four per locus. No polymorphism was detected at the loci <i>Dia2</i>, <i>Got3</i>, <i>Mdh4</i>, <i>Mmm</i>, and <i>Pgm1</i>. The highest number of alleles (four) was detected at loci <i>Acp1</i>, <i>Cat3</i>, <i>Pgm2</i>. No new alleles were identified, nevertheless the frequency of seven alleles was only about 1%. The expected heterozygosity ranged from null to 0.492 with an average of 0.197. The revealed isoenzyme polymorphism confirmed that all analyzed populations were heterogeneous and as many as 17 of them were completely heterogeneous. None of the analyzed populations was identical in the frequency of alleles at all 22 analyzed loci.

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34

Tong, Yue W., Bernard J. Lewis, Wang M. Zhou, Cheng R. Mao, Yan Wang, Li Zhou, Da P. Yu, Li M. Dai, and Lin Qi. "Genetic Diversity and Population Structure of Natural Pinus koraiensis Populations." Forests 11, no. 1 (December 26, 2019): 39. http://dx.doi.org/10.3390/f11010039.

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Studying the genetic diversity and population structure of natural forest populations is essential for evaluating their ability to survive under future environmental changes and establishing conservation strategies. Pinus koraiensis is a conifer species with high ecological and economic value in Northeast China. However, its natural forests have been greatly reduced in recent years, mostly due to over exploitation and over utilization. Here, we evaluated the genetic diversity and population structure of seven populations of P. koraiensis located throughout its native distribution. A total of 204 samples were genotyped with nine polymorphic nuclear SSR (simple sequence repeat) markers. The results showed high genetic diversity in all populations, with an average expected heterozygosity of 0.610, and the northern-most populations (Dailin (DL) and Fenglin (FL)) showed slightly higher diversity than the other five populations. The level of genetic differentiation among populations was very low (FST = 0.020). Analysis of molecular variance (AMOVA) showed that only 2.35% of the genetic variation existed among populations. Moreover, STRUCTURE analysis clearly separated the seven populations into two clusters. Populations DL and FL from the Xiaoxinganling Mountains comprised cluster I, while cluster II included the five populations from the Changbai Mountains and adjacent highlands. Our research on the genetic diversity and population structure of P. koraiensis in natural forests of China can provide a basis for the implementation of programs for the conservation and utilization of P. koraiensis genetic resources in the future.

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35

Kohler, Eric A., Clark S. Throssell, and Zachary J. Reicher. "2,4-D Rate Response, Absorption, and Translocation of Two Ground Ivy (Glechoma hederacea) Populations." Weed Technology 18, no. 4 (December 2004): 917–23. http://dx.doi.org/10.1614/wt-03-089r1.

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Ground ivy is a stoloniferous, perennial weed that persists in lawn turf. With the widespread use of 2,4-D on turf sites, the development of 2,4-D–tolerant ground ivy is a possibility. Ground ivy populations showed a highly variable response to foliar 2,4-D application. Ground ivy from Nebraska (NE) was tolerant to 2,4-D, whereas Ohio (OH) ground ivy was susceptible. The 2,4-D–susceptible OH population absorbed 37% more foliar-applied14C–2,4-D than the 2,4-D–tolerant NE population. Although OH and NE populations total translocation of applied14C was similar and averaged 5%, the OH population translocated 42% more toward the apical meristem of the primary stolon than the NE population, primarily because of the OH population's higher14C–2,4-D absorption. The variation in response to 2,4-D found between these two populations occurred after exposure of roots to 2,4-D, but the effect was less pronounced. These results suggest that the difference in foliar uptake may partially contribute to differences in response to 2,4-D between these two populations. Likewise, differences in acropetal translocation may contribute to the differential sensitivity of 2,4-D–tolerant and –susceptible ground ivy populations.

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36

Czarnecki, David M., Madhugiri Nageswara Rao, Jeffrey G. Norcini, Frederick G. Gmitter, and Zhanao Deng. "Genetic Diversity and Differentiation among Natural, Production, and Introduced Populations of the Narrowly Endemic Species Coreopsis leavenworthii (Asteraceae)." Journal of the American Society for Horticultural Science 133, no. 2 (March 2008): 234–41. http://dx.doi.org/10.21273/jashs.133.2.234.

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Seeds of Coreopsis leavenworthii Torr. & Gray (Asteraceae) are being commercially produced but the lack of genetic diversity information has hindered growers and end users from addressing several critical issues affecting wild collection, commercial production, distribution, and the use of seeds. In this study, the genetic diversity and differentiation among natural, production, and introduced populations were analyzed at the molecular level using 320 amplified fragment length polymorphism (AFLP) markers. A high level of diversity [68.6% average polymorphism; total genetic diversity (H t ) = 0.309] and a moderate level of genetic differentiation [total genetic diversity residing among populations (G st ) = 0.226; Φ st = 0.244; Bayesian analog of Nei's G st (G st -B) = 0.197] was detected among six natural populations—two each from northern, central, and southern Florida. Two distance-based clustering analyses, based on an individual's AFLP phenotypes or a population's allele frequencies, grouped natural populations into three clusters, concordant with our previous results from a common garden study of phenotypic variation. Clustering of populations was mostly according to their respective geographical origin within Florida. The correlation between geographical distances and pairwise F st values between populations was very significant (r = 0.855, P < 0.0001). Two central Florida natural populations were divergent and grouped into separate clusters, indicating that the existence of factors other than physical distance alone were contributing to genetic isolation. Three production populations maintained a level of genetic diversity comparable to that in the natural populations and were grouped with the natural populations from which the production populations were derived, suggesting that the genetic identity of the seed origin was maintained under production practices. The genetic diversity of the introduced population was comparable to that of the source populations (central Florida natural populations), but genetic shift seems to have occurred, causing the introduced population to cluster with local (northern Florida) populations where planted. The observed genetic differentiation among natural populations may indicate a need to develop appropriate zones within Florida for preservation of genetic diversity during seed collection, increase, and distribution. This high level of population differentiation also suggests a need to collect and analyze more natural populations across Florida and from Alabama for a better understanding of the species' genetic diversity and population structure across its distribution range.

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37

Milner-Gulland, E. J., M. V. Kholodova, A. Bekenov, O. M. Bukreeva, Iu A. Grachev, L. Amgalan, and A. A. Lushchekina. "Dramatic declines in saiga antelope populations." Oryx 35, no. 4 (October 2001): 340–45. http://dx.doi.org/10.1046/j.1365-3008.2001.00202.x.

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AbstractWe present new data on the size of all the saiga antelope populations; three populations of the subspecies Saiga tatarica tatarica in Kazakhstan, one of S. t. tatarica in Kalmykia, Russia, and two of S. t. mongolica in Mongolia. The data suggest that three populations are under severe threat from poaching and have been declining at an increasing rate for the last 2–3 years. The Ustiurt population in Kazakhstan was relatively secure but is now also under threat. There is evidence of much reduced conception rates in Kalmykia, probably because of selective hunting of adult males. The Mongolian subspecies shows no evidence of recent decline, but is of concern because of the population's small size. The cause of the population declines appears to be poaching for meat and horns, which is a result of economic collapse in the rural areas of Kazakhstan and Kalmykia. We suggest that full aerial surveys be carried out on the Betpak-dala (Kazakhstan) and Mongolian populations, and that funding is urgently required for the control of poaching in all parts of the saiga range.

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38

Chambers, L. K., G. R. Singleton, and L. A. Hinds. "Fertility control of wild mouse populations: the effects of hormonal competence and an imposed level of sterility." Wildlife Research 26, no. 5 (1999): 579. http://dx.doi.org/10.1071/wr98093.

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We report on a study of confined populations of wild mice in which 67% of females were surgically sterilised to simulate the possible effects of fertility control on population dynamics. Social structure can influence the breeding performance of female mice and, as this may be hormonally controlled, we examined whether the maintenance of hormonal competence by sterilised female mice was necessary to achieve a significant decrease in population size. We compared two methods of surgical sterilisation – tubal ligation, which leaves the animal’s reproductive hormone regulation intact, and ovariectomy, which disrupts the normal regulation of the hormones of the pituitary–ovarian axis. There was no difference in the population sizes produced by the two methods of sterilisation and thus the maintenance of hormonal structure is unlikely to influence the population’s response to fertility control. If anything, the population response to the presence of hormonally competent but sterile females was different from that expected – populations with tubally ligated females had slightly higher growth rates, recruitment of young, and breeding performance, than populations with ovariectomised females. The 67% level of infertility amongst females in the population successfully reduced population size and growth rate when compared with unsterilised populations. This reduction in population size was not related to the level of sterility imposed. Compensation occurred through improved breeding performance of unsterilised females, particularly in the tubally ligated populations.

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39

Riley, Shawn J., Daniel J. Decker, Jody W. Enck, Paul D. Curtis, T. Bruce Lauber, and Tommy L. Brown. "Deer populations up, hunter populations down: Implications of interdependence of deer and hunter population dynamics on management." Écoscience 10, no. 4 (January 2003): 455–61. http://dx.doi.org/10.1080/11956860.2003.11682793.

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40

Powell, Eric N., John M. Klinck, Eileen E. Hofmann, Elizabeth A. Wilson-Ormond, and Matthew S. Ellis. "Modeling oyster populations. V. Declining phytoplankton stocks and the population dynamics of American oyster (Crassostrea virginica) populations." Fisheries Research 24, no. 3 (October 1995): 199–222. http://dx.doi.org/10.1016/0165-7836(95)00370-p.

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41

Bailey, R. S., and M. Sinclair. "Marine Populations. An Essay on Population Regulation and Speciation." Journal of Animal Ecology 59, no. 2 (June 1990): 800. http://dx.doi.org/10.2307/4903.

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42

Wilson, Deborah J., Charles J. Krebs, and Tony Sinclair. "Limitation of Collared Lemming Populations during a Population Cycle." Oikos 87, no. 2 (November 1999): 382. http://dx.doi.org/10.2307/3546754.

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43

Mišević, D., A. Marić, D. E. Alexander, J. Dumanović, and S. Ratković. "Population Cross Diallel among High Oil Populations of Maize." Crop Science 29, no. 3 (May 1989): 613–17. http://dx.doi.org/10.2135/cropsci1989.0011183x002900030012x.

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44

Smith, P. E., and Michael Sinclair. "Marine Populations, an Essay on Population Regulation and Speciation." Copeia 1989, no. 3 (August 8, 1989): 810. http://dx.doi.org/10.2307/1445531.

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45

Triviño, Narda Jimena, Juan Guillermo Perez, Maria Eugenia Recio, Masumi Ebina, Naoki Yamanaka, Shin-ichi Tsuruta, Manabu Ishitani, and Margaret Worthington. "Genetic Diversity and Population Structure ofBrachiariaSpecies and Breeding Populations." Crop Science 57, no. 5 (July 13, 2017): 2633–44. http://dx.doi.org/10.2135/cropsci2017.01.0045.

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46

Glaister, J. P., and M. Sinclair. "Marine Populations: An Essay on Population Regulation and Speciation." Estuaries 12, no. 1 (March 1989): 57. http://dx.doi.org/10.2307/1351451.

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47

Ma, Yanyuan, Jeffrey D. Hart, and Raymond J. Carroll. "Density Estimation in Several Populations With Uncertain Population Membership." Journal of the American Statistical Association 106, no. 495 (September 2011): 1180–92. http://dx.doi.org/10.1198/jasa.2011.tm10798.

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48

Degen, Bernd. "Population Genetic Studies of Tree Populations in the Neotropics." Silvae Genetica 54, no. 1-6 (December 1, 2005): 257. http://dx.doi.org/10.1515/sg-2005-0036.

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49

Seldin, Michael F., Russell Shigeta, Pablo Villoslada, Carlo Selmi, Jaakko Tuomilehto, Gabriel Silva, John W. Belmont, Lars Klareskog, and Peter K. Gregersen. "European Population Substructure: Clustering of Northern and Southern Populations." PLoS Genetics 2, no. 9 (September 15, 2006): e143. http://dx.doi.org/10.1371/journal.pgen.0020143.

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50

Seldin, Michael F., Russell Shigeta, Pablo Villoslada, Carlo Selmi, Jaakko Tuomilehto, Gabriel Silva, John W. Belmont, Lars Klareskog, and Peter Gregersen. "European Population Substructure: Clustering of Northern and Southern Populations." PLoS Genetics preprint, no. 2006 (2005): e143. http://dx.doi.org/10.1371/journal.pgen.0020143.eor.

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