1. Elton, C. S, 1942, Voles, mice and lemmings: problems in population dynamics: London, England, Oxford University Press, 496 p.
BibTeX
@book{elton1942voles9,
author = "Elton, C. S",
title = "Voles, mice and lemmings",
year = "1942",
publisher = "problems in population dynamics: London, England, Oxford University Press, 496 p",
note = "talkorigins\_source = {true}; raw\_reference = {Elton, C. S., 1942, Voles, mice and lemmings: problems in population dynamics: London, England, Oxford University Press, 496 p.}"
}
2. Elton, C. S, 1946, Competition and the structure of ecological communities: Journal of Animal Ecology, v. 15, p. 54-68.
BibTeX
@article{elton1946competition10,
author = "Elton, C. S",
title = "Competition and the structure of ecological communities",
year = "1946",
journal = "Journal of Animal Ecology, v. 15, p. 54-68",
note = "talkorigins\_source = {true}; raw\_reference = {Elton, C. S., 1946, Competition and the structure of ecological communities: Journal of Animal Ecology, v. 15, p. 54-68.}"
}
3. Elton, C. S, 1949, Population interspersion: an essay on animal community patterns: Journal of Ecology, v. 37, p. 1-23.
BibTeX
@article{elton1949population11,
author = "Elton, C. S",
title = "Population interspersion",
year = "1949",
journal = "an essay on animal community patterns: Journal of Ecology, v. 37, p. 1-23",
note = "talkorigins\_source = {true}; raw\_reference = {Elton, C. S., 1949, Population interspersion: an essay on animal community patterns: Journal of Ecology, v. 37, p. 1-23.}"
}
4. Deevey, E. S, 1960, Population.
BibTeX
@misc{deevey1960population7,
author = "Deevey, E. S",
title = "Population",
year = "1960",
howpublished = "Scientific American, v. 203, no. 5, p. 194-204",
note = "talkorigins\_source = {true}; raw\_reference = {Deevey, E. S., 1960, Population: Scientific American, v. 203, no. 5, p. 194-204.}"
}
5. Cole, L. C, 1965, Dynamics of Animal Population Growth, in Sheps, M. C., and Ridley, J. C., eds., Public Health and Population Change: Pittsburgh, Penn., University of Pittsburgh Press, p. 221-241.
BibTeX
@book{cole1965dynamics6,
author = "Cole, L. C",
title = "Dynamics of Animal Population Growth, in Sheps, M. C., and Ridley, J. C., eds., Public Health and Population Change",
year = "1965",
publisher = "Pittsburgh, Penn., University of Pittsburgh Press, p. 221-241",
note = "talkorigins\_source = {true}; raw\_reference = {Cole, L. C., 1965, Dynamics of Animal Population Growth, in Sheps, M. C., and Ridley, J. C., eds., Public Health and Population Change: Pittsburgh, Penn., University of Pittsburgh Press, p. 221-241.}"
}
6. Asimov, I, 1967, Is Anyone There?.
BibTeX
@misc{asimov1967is2,
author = "Asimov, I",
title = "Is Anyone There?",
year = "1967",
howpublished = "New York, Avon Books",
note = "talkorigins\_source = {true}; raw\_reference = {Asimov, I., 1967, Is Anyone There?: New York, Avon Books.}"
}
7. Birch, L. C. and Ehrlich, P. R, 1967, Evolutionary History and Population Biology.
BibTeX
@misc{birch1967evolutionary4,
author = "Birch, L. C. and Ehrlich, P. R",
title = "Evolutionary History and Population Biology",
year = "1967",
howpublished = "Nature, v. 214, p. 349-352",
note = "talkorigins\_source = {true}; raw\_reference = {Birch, L. C., and Ehrlich, P. R., 1967, Evolutionary History and Population Biology: Nature, v. 214, p. 349-352.}"
}
8. Ehrlich, P. R. and Birch, L. C, 1967, The balance of nature" and "population control.
BibTeX
@misc{ehrlich1967the8,
author = "Ehrlich, P. R. and Birch, L. C",
title = {The balance of nature" and "population control},
year = "1967",
howpublished = "American Naturalist, v. 101, p. 97-107",
note = {talkorigins\_source = {true}; raw\_reference = {Ehrlich, P. R., and Birch, L. C., 1967, "The balance of nature" and "population control": American Naturalist, v. 101, p. 97-107.}}
}
9. Erhlich, P. R. and Raven, P. H, 1969, Differentiations in populations.
BibTeX
@misc{erhlich1969differentiations12,
author = "Erhlich, P. R. and Raven, P. H",
title = "Differentiations in populations",
year = "1969",
howpublished = "Science, v. 165, p. 1228-1231",
note = "talkorigins\_source = {true}; raw\_reference = {Erhlich, P. R., and Raven, P. H., 1969, Differentiations in populations: Science, v. 165, p. 1228-1231.}"
}
10. Kauffman, E. G, 1970, Population systematics, radiometrics and zonation - a new biostratigraphy: North American Paleontological Convention, Proceedings, p. 612-666; Part F.
BibTeX
@inproceedings{kauffman1970population14,
author = "Kauffman, E. G",
title = "Population systematics, radiometrics and zonation - a new biostratigraphy",
year = "1970",
booktitle = "North American Paleontological Convention, Proceedings, p. 612-666; Part F",
note = "talkorigins\_source = {true}; raw\_reference = {Kauffman, E. G., 1970, Population systematics, radiometrics and zonation - a new biostratigraphy: North American Paleontological Convention, Proceedings, p. 612-666; Part F.}"
}
11. Mayr, E, 1970, Populations, Species and Evolution: Cambridge, Mass, Belknap Press of Harvard University Press.
BibTeX
@book{mayr1970populations15,
author = "Mayr, E",
title = "Populations, Species and Evolution",
year = "1970",
publisher = "Cambridge, Mass, Belknap Press of Harvard University Press",
note = "talkorigins\_source = {true}; raw\_reference = {Mayr, E., 1970, Populations, Species and Evolution: Cambridge, Mass, Belknap Press of Harvard University Press.}"
}
12. Anderson, E. J, 1971, Discriminant function analysis of variation among populations of the brachiopod Gypidula coeymanensis.
BibTeX
@misc{anderson1971discriminant1,
author = "Anderson, E. J",
title = "Discriminant function analysis of variation among populations of the brachiopod Gypidula coeymanensis",
year = "1971",
howpublished = "Geological Society of America, Abstracts with Programs, v. 3, no. 1, p. 14-15",
note = "talkorigins\_source = {true}; raw\_reference = {Anderson, E. J., 1971, Discriminant function analysis of variation among populations of the brachiopod Gypidula coeymanensis: Geological Society of America, Abstracts with Programs, v. 3, no. 1, p. 14-15.}"
}
13. Wilson, E. O. and Bossert, W. H, 1971, A Primer of Population Biology.
BibTeX
@misc{wilson1971a16,
author = "Wilson, E. O. and Bossert, W. H",
title = "A Primer of Population Biology",
year = "1971",
howpublished = "Sunderland, Mass., Sinauer",
note = "talkorigins\_source = {true}; raw\_reference = {Wilson, E. O., and Bossert, W. H., 1971, A Primer of Population Biology: Sunderland, Mass., Sinauer.}"
}
14. Ayala, F. J, 1977, The Genetic Structure of Populations, in Dobzhansky, T., Ayala, F. J., Stebbins, G. L., and Valentine, J. W., eds., Evolution.
BibTeX
@misc{ayala1977the3,
author = "Ayala, F. J",
title = "The Genetic Structure of Populations, in Dobzhansky, T., Ayala, F. J., Stebbins, G. L., and Valentine, J. W., eds., Evolution",
year = "1977",
howpublished = "San Francisco, California, W.H. Freeman \& Co., p. 20-56",
note = "talkorigins\_source = {true}; raw\_reference = {Ayala, F. J., 1977, The Genetic Structure of Populations, in Dobzhansky, T., Ayala, F. J., Stebbins, G. L., and Valentine, J. W., eds., Evolution: San Francisco, California, W.H. Freeman \& Co., p. 20-56.}"
}
15. Hartl, Daniel L., 1979, Four-Volume Treatise on Population Biology Evolution and the Genetics of Populations Sewall Wright: BioScience: v. 29, no. 3: p. 179-180.
BibTeX
@article{hartl1979fourvolume,
author = "Hartl, Daniel L.",
title = "Four-Volume Treatise on Population Biology Evolution and the Genetics of Populations Sewall Wright",
year = "1979",
journal = "BioScience",
url = "https://doi.org/10.2307/1307799",
doi = "10.2307/1307799",
number = "3",
pages = "179-180",
volume = "29"
}
16. Jain, S. K., 1981, Plant Population Biology Demography and Evolution in Plant Populations Otto T. Solbrig: BioScience: v. 31, no. 9: p. 685-685.
BibTeX
@article{jain1981plant,
author = "Jain, S. K.",
title = "Plant Population Biology Demography and Evolution in Plant Populations Otto T. Solbrig",
year = "1981",
journal = "BioScience",
url = "https://doi.org/10.2307/1308651",
doi = "10.2307/1308651",
number = "9",
pages = "685-685",
volume = "31"
}
17. Hollingsworth, T. H, 1983, Population, in Collier's Encyclopedia.
BibTeX
@misc{hollingsworth1983population13,
author = "Hollingsworth, T. H",
title = "Population, in Collier's Encyclopedia",
year = "1983",
howpublished = "New York, Macmillan, v. 19, p. 248-253",
note = "talkorigins\_source = {true}; raw\_reference = {Hollingsworth, T. H., 1983, Population, in Collier's Encyclopedia: New York, Macmillan, v. 19, p. 248-253.}"
}
18. Bogue, D. J, 1985, Population, in Encyclopedia Americana.
BibTeX
@misc{bogue1985population5,
author = "Bogue, D. J",
title = "Population, in Encyclopedia Americana",
year = "1985",
howpublished = "Danbury, Connecticut, Grolier, v. 22, p. 402-408",
note = "talkorigins\_source = {true}; raw\_reference = {Bogue, D. J., 1985, Population, in Encyclopedia Americana: Danbury, Connecticut, Grolier, v. 22, p. 402-408.}"
}
19. Pamilo, Pekka, 1985, Population Biology. The Evolution and Ecology of Populations. Philip W. Hedrick: The Quarterly Review of Biology: v. 60, no. 4: p. 530-531.
BibTeX
@article{pamilo1985population,
author = "Pamilo, Pekka",
title = "Population Biology. The Evolution and Ecology of Populations. Philip W. Hedrick",
year = "1985",
journal = "The Quarterly Review of Biology",
url = "https://doi.org/10.1086/414659",
doi = "10.1086/414659",
number = "4",
pages = "530-531",
volume = "60"
}
20. de Boer, Bart and Thompson, Bill, 2018, Biology-Culture Co-evolution in Finite Populations: Scientific Reports: v. 8, no. 1.
DOI: 10.1038/s41598-017-18928-0
Abstract
Language is the result of two concurrent evolutionary processes: biological and cultural inheritance. An influential evolutionary hypothesis known as the moving target problem implies inherent limitations on the interactions between our two inheritance streams that result from a difference in pace: the speed of cultural evolution is thought to rule out cognitive adaptation to culturally evolving aspects of language. We examine this hypothesis formally by casting it as as a problem of adaptation in time-varying environments. We present a mathematical model of biology-culture co-evolution in finite populations: a generalisation of the Moran process, treating co-evolution as coupled non-independent Markov processes, providing a general formulation of the moving target hypothesis in precise probabilistic terms. Rapidly varying culture decreases the probability of biological adaptation. However, we show that this effect declines with population size and with stronger links between biology and culture: in realistically sized finite populations, stochastic effects can carry cognitive specialisations to fixation in the face of variable culture, especially if the effects of those specialisations are amplified through cultural evolution. These results support the view that language arises from interactions between our two major inheritance streams, rather than from one primary evolutionary process that dominates another.
BibTeX
@article{deboer2018biologyculture,
author = "de Boer, Bart and Thompson, Bill",
title = "Biology-Culture Co-evolution in Finite Populations",
year = "2018",
journal = "Scientific Reports",
abstract = "Language is the result of two concurrent evolutionary processes: biological and cultural inheritance. An influential evolutionary hypothesis known as the moving target problem implies inherent limitations on the interactions between our two inheritance streams that result from a difference in pace: the speed of cultural evolution is thought to rule out cognitive adaptation to culturally evolving aspects of language. We examine this hypothesis formally by casting it as as a problem of adaptation in time-varying environments. We present a mathematical model of biology-culture co-evolution in finite populations: a generalisation of the Moran process, treating co-evolution as coupled non-independent Markov processes, providing a general formulation of the moving target hypothesis in precise probabilistic terms. Rapidly varying culture decreases the probability of biological adaptation. However, we show that this effect declines with population size and with stronger links between biology and culture: in realistically sized finite populations, stochastic effects can carry cognitive specialisations to fixation in the face of variable culture, especially if the effects of those specialisations are amplified through cultural evolution. These results support the view that language arises from interactions between our two major inheritance streams, rather than from one primary evolutionary process that dominates another.",
url = "https://doi.org/10.1038/s41598-017-18928-0",
doi = "10.1038/s41598-017-18928-0",
number = "1",
volume = "8"
}
21. Qiu, Zhichang and Li, Ningyang and Lu, Xiaoming and Zheng, Zhenjia and Zhang, Mingjie and Qiao, Xuguang, 2018, Characterization of microbial community structure and metabolic potential using Illumina MiSeq platform during the black garlic processing.: Food research international (Ottawa, Ont.).
DOI: 10.1016/j.foodres.2017.12.081 Source
Abstract
Black garlic is a distinctive garlic deep-processed product made from fresh garlic at high temperature and controlled humidity. To explore microbial community structure, diversity and metabolic potential during the 12days of the black garlic processing, Illumina MiSeq sequencing technology was performed to sequence the 16S rRNA V3-V4 hypervariable region of bacteria. A total of 677,917 high quality reads were yielded with an average read length of 416bp. Operational taxonomic units (OTU) clustering analysis showed that the number of species OTUs ranged from 148 to 1974, with alpha diversity increasing remarkably, indicating the high microbial community abundance and diversity. Taxonomic analysis indicated that bacterial community was classified into 45 phyla and 1125 distinct genera, and the microbiome of black garlic samples based on phylogenetic analysis was dominated by distinct populations of four genera: Thermus, Corynebacterium, Streptococcus and Brevundimonas. The metabolic pathways were predicted for 16S rRNA marker gene sequences based on Kyoto Encyclopedia of Genes and Genomes (KEGG), indicating that amino acid metabolism, carbohydrate metabolism and membrane transport were important for the black garlic fermentation process. Overall, the study was the first to reveal microbial community structure and speculate the composition of functional genes in black garlic samples. The results contributed to further analysis of the interaction between microbial community and black garlic components at different stages, which was of great significance to study the formation mechanism and quality improvement of black garlic in the future.
BibTeX
@article{doi101016jfoodres201712081,
author = "Qiu, Zhichang and Li, Ningyang and Lu, Xiaoming and Zheng, Zhenjia and Zhang, Mingjie and Qiao, Xuguang",
title = "Characterization of microbial community structure and metabolic potential using Illumina MiSeq platform during the black garlic processing.",
year = "2018",
journal = "Food research international (Ottawa, Ont.)",
abstract = "Black garlic is a distinctive garlic deep-processed product made from fresh garlic at high temperature and controlled humidity. To explore microbial community structure, diversity and metabolic potential during the 12days of the black garlic processing, Illumina MiSeq sequencing technology was performed to sequence the 16S rRNA V3-V4 hypervariable region of bacteria. A total of 677,917 high quality reads were yielded with an average read length of 416bp. Operational taxonomic units (OTU) clustering analysis showed that the number of species OTUs ranged from 148 to 1974, with alpha diversity increasing remarkably, indicating the high microbial community abundance and diversity. Taxonomic analysis indicated that bacterial community was classified into 45 phyla and 1125 distinct genera, and the microbiome of black garlic samples based on phylogenetic analysis was dominated by distinct populations of four genera: Thermus, Corynebacterium, Streptococcus and Brevundimonas. The metabolic pathways were predicted for 16S rRNA marker gene sequences based on Kyoto Encyclopedia of Genes and Genomes (KEGG), indicating that amino acid metabolism, carbohydrate metabolism and membrane transport were important for the black garlic fermentation process. Overall, the study was the first to reveal microbial community structure and speculate the composition of functional genes in black garlic samples. The results contributed to further analysis of the interaction between microbial community and black garlic components at different stages, which was of great significance to study the formation mechanism and quality improvement of black garlic in the future.",
url = "https://pubmed.ncbi.nlm.nih.gov/29579944/",
doi = "10.1016/j.foodres.2017.12.081",
pmid = "29579944"
}
22. Pramanik, Krishnendu and Sen, Arup and Dutta, Subrata and Mandal, Gouranga Sundar and Paramanik, Bappa and Das, Arpita and Chatterjee, Nitin and Ghorai, Ankit Kumar and Ali, Md Nasim, 2025, Microbial populations under fluoride stress: a metagenomic exploration from Indian soil.: World journal of microbiology & biotechnology.
DOI: 10.1007/s11274-025-04408-5 Source
Abstract
Fluoride exposure, even at a low concentration, significantly impairs crop growth and productivity by inhibiting metabolic enzymes and disrupting photosynthesis. Addressing this challenge, microbial de-fluoridation emerges as a vital strategy to improve soil health, enhance crop growth, and ensure agricultural sustainability. This study analyzed topsoil samples (0-0.2 m depth) from rice fields in three blocks of Purulia district, West Bengal-Arsha, Jhalda-I, and Joypur. Fluoride content in the samples ranged from 58.76 ± 0.76 mg/kg to 282.9 ± 4.9 mg/kg (total) and 1.57 ± 0.02 mg/kg to 2.97 ± 0.03 mg/kg (available). The metagenomic analysis of the collected soil samples revealed diverse microbial communities comprising archaea, bacteria, fungi, and viruses, with Actinobacteria (phylum), Hyphomicrobiales (order), and Nocardioidaceae (family) being the dominant prokaryotes. Arsha soil with comparatively low fluoride contamination exhibited the highest microbial diversity (11,891 taxa), followed by Joypur (11,528 taxa) and Jhalda-I (11,358 taxa), with Arsha showing nearly double the unique microbial taxa compared to the other locations. Clusters of orthologous groups of proteins functional analysis identified 60,898 genes in Arsha, 63,403 genes in Jhalda-I, and 73,334 genes in Joypur, while Kyoto encyclopedia of genes and genomes analysis revealed 9,385, 9,104, and 10,633 genes, respectively. Key genes associated with fluoride metabolism-inorganic pyrophosphatase, divalent metal cation transporter mntH, and putative fluoride ion transporter crcB-were abundant across all sites, highlighting the influence of fluoride on microbial community structure. This study provides the first comprehensive report on soil microbial communities in fluoride-rich areas, highlighting the potential of native fluoride-tolerant microbes to mitigate fluoride toxicity in agricultural soils and offer sustainable, microbe-based solutions to fluoride contamination.
BibTeX
@article{doi101007s11274025044085,
author = "Pramanik, Krishnendu and Sen, Arup and Dutta, Subrata and Mandal, Gouranga Sundar and Paramanik, Bappa and Das, Arpita and Chatterjee, Nitin and Ghorai, Ankit Kumar and Ali, Md Nasim",
title = "Microbial populations under fluoride stress: a metagenomic exploration from Indian soil.",
year = "2025",
journal = "World journal of microbiology \& biotechnology",
abstract = "Fluoride exposure, even at a low concentration, significantly impairs crop growth and productivity by inhibiting metabolic enzymes and disrupting photosynthesis. Addressing this challenge, microbial de-fluoridation emerges as a vital strategy to improve soil health, enhance crop growth, and ensure agricultural sustainability. This study analyzed topsoil samples (0-0.2 m depth) from rice fields in three blocks of Purulia district, West Bengal-Arsha, Jhalda-I, and Joypur. Fluoride content in the samples ranged from 58.76 ± 0.76 mg/kg to 282.9 ± 4.9 mg/kg (total) and 1.57 ± 0.02 mg/kg to 2.97 ± 0.03 mg/kg (available). The metagenomic analysis of the collected soil samples revealed diverse microbial communities comprising archaea, bacteria, fungi, and viruses, with Actinobacteria (phylum), Hyphomicrobiales (order), and Nocardioidaceae (family) being the dominant prokaryotes. Arsha soil with comparatively low fluoride contamination exhibited the highest microbial diversity (11,891 taxa), followed by Joypur (11,528 taxa) and Jhalda-I (11,358 taxa), with Arsha showing nearly double the unique microbial taxa compared to the other locations. Clusters of orthologous groups of proteins functional analysis identified 60,898 genes in Arsha, 63,403 genes in Jhalda-I, and 73,334 genes in Joypur, while Kyoto encyclopedia of genes and genomes analysis revealed 9,385, 9,104, and 10,633 genes, respectively. Key genes associated with fluoride metabolism-inorganic pyrophosphatase, divalent metal cation transporter mntH, and putative fluoride ion transporter crcB-were abundant across all sites, highlighting the influence of fluoride on microbial community structure. This study provides the first comprehensive report on soil microbial communities in fluoride-rich areas, highlighting the potential of native fluoride-tolerant microbes to mitigate fluoride toxicity in agricultural soils and offer sustainable, microbe-based solutions to fluoride contamination.",
url = "https://pmc.ncbi.nlm.nih.gov/articles/5039924/",
doi = "10.1007/s11274-025-04408-5",
pmcid = "5039924",
pmid = "40560512"
}