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1

Reed, J. Michael. "Population Viability Analysis." Auk 120, no. 1 (2003): 237. http://dx.doi.org/10.1642/0004-8038(2003)120[0237:pva]2.0.co;2.

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2

Cuthbert, Richard. "Population Viability Analysis." Biological Conservation 114, no. 1 (November 2003): 153. http://dx.doi.org/10.1016/s0006-3207(02)00402-0.

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3

Fieberg, John. "Population viability analysis." Journal of Biogeography 31, no. 3 (February 24, 2004): 515–16. http://dx.doi.org/10.1046/j.0305-0270.2003.01027.x.

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4

SHAFFER, MARK L. "Population Viability Analysis." Conservation Biology 4, no. 1 (March 1990): 39–40. http://dx.doi.org/10.1111/j.1523-1739.1990.tb00265.x.

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5

Boyce, M. S. "Population Viability Analysis." Annual Review of Ecology and Systematics 23, no. 1 (November 1992): 481–97. http://dx.doi.org/10.1146/annurev.es.23.110192.002405.

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6

Reed, J. Michael. "Population Viability Analysis." Auk 120, no. 1 (January 1, 2003): 237–39. http://dx.doi.org/10.1093/auk/120.1.237.

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Abstract (sommario):
Abstract The following critiques express the opinions of the individual evaluators regarding the strengths, weaknesses, and value of the books they review. As such, the appraisals are subjective assessments and do not necessarily reflect the opinions of the editors or any official policy of the American Ornithologists' Union.
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Rexstad, Eric. "Population Viability Analysis." Wildlife Society Bulletin 32, no. 2 (June 2004): 606–7. http://dx.doi.org/10.2193/0091-7648(2004)32[606:br]2.0.co;2.

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8

Beier, Paul, S. R. Beissinger, and D. R. McCullough. "Population Viability Analysis." Journal of Wildlife Management 67, no. 4 (October 2003): 890. http://dx.doi.org/10.2307/3802694.

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9

Diogéne, J., M. Dufour, G. G. Poirier, and D. Nadeau. "Extrusion of earthworm coelomocytes: comparison of the cell populations recovered from the species Lumbricus terrestris, Eisenia fetida and Octolasion tyrtaeum." Laboratory Animals 31, no. 4 (October 1, 1997): 326–36. http://dx.doi.org/10.1258/002367797780596068.

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Abstract (sommario):
Coelomocytes were extruded from three earthworm species: Lumbricus terrestris, Eisenia fetida and Octolasion tyrtaeum. Featuring a simple low-vacuum holding device, the proposed methodology allows the recovery of cells with minimum risk of contamination by faecal material. The viability of O. tyrtaeum coelomocytes was highly reproducible (average 93%), with an average yield of 0.92 × 106 viable cells per earthworm. Cell viability for L. terrestris and E. fetida averaged ~68% but the cell yields were higher (respectively 1.67 × 106 and 1.28 × 106). Large inter-individual differences in cell yie
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Li, Yiming, and Li Dianmo. "Advance in population viability analysis." Biodiversity Science 02, no. 1 (1994): 1–10. http://dx.doi.org/10.17520/biods.1994001.

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Lee, DE, E. Fienieg, C. Van Oosterhout, Z. Muller, M. Strauss, KD Carter, CPJ Scheijen, and F. Deacon. "Giraffe translocation population viability analysis." Endangered Species Research 41 (February 27, 2020): 245–52. http://dx.doi.org/10.3354/esr01022.

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Abstract (sommario):
Most populations of giraffes have declined in recent decades, leading to the recent IUCN decision to upgrade the species to Vulnerable status, and some subspecies to Endangered. Translocations have been used as a conservation tool to re-introduce giraffes to previously occupied areas or establish new populations, but guidelines for founding populations are lacking. To provide general guidelines for translocation projects regarding feasibility, we simulated various scenarios of translocated giraffe populations to identify viable age and sex distributions of founding populations using population
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12

Ellner, Stephen P., John Fieberg, Donald Ludwig, and Chris Wilcox. "Precision of Population Viability Analysis." Conservation Biology 16, no. 1 (February 2002): 258–61. http://dx.doi.org/10.1046/j.1523-1739.2002.00553.x.

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Drechsler, Martin, and Mark A. Burgman. "Combining Population Viability Analysis with Decision Analysis." Biodiversity and Conservation 13, no. 1 (January 2004): 115–39. http://dx.doi.org/10.1023/b:bioc.0000004315.09433.f6.

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14

Ruggiero, Leonard F., Gregory D. Hayward, and John R. Squires. "Viability Analysis in Biological Evaluations: Concepts of Population Viability Analysis, Biological Population, and Ecological Scale." Conservation Biology 8, no. 2 (June 1994): 364–72. http://dx.doi.org/10.1046/j.1523-1739.1994.08020364.x.

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15

Reed, J. Michael, L. Scott Mills, John B. Dunning, Eric S. Menges, Kevin S. McKelvey, Robert Frye, Steven R. Beissinger, Marie-Charlotte Anstett, and Philip Miller. "Emerging Issues in Population Viability Analysis." Conservation Biology 16, no. 1 (February 2002): 7–19. http://dx.doi.org/10.1046/j.1523-1739.2002.99419.x.

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16

Horino, S., and S. Miura. "Population viability analysis of a Japanese black bear population." Population Ecology 42, no. 1 (April 29, 2000): 37–44. http://dx.doi.org/10.1007/s101440050007.

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Horino, S., and S. Miura. "Population viability analysis of a Japanese black bear population." Researches on Population Ecology 42, no. 1 (2000): 0037. http://dx.doi.org/10.1007/s101440050042.

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18

Chisholm, Ryan A., and Brendan A. Wintle. "INCORPORATING LANDSCAPE STOCHASTICITY INTO POPULATION VIABILITY ANALYSIS." Ecological Applications 17, no. 2 (March 2007): 317–22. http://dx.doi.org/10.1890/05-1580.

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19

Roberts, James H., Paul L. Angermeier, and Gregory B. Anderson. "Population Viability Analysis for Endangered Roanoke Logperch." Journal of Fish and Wildlife Management 7, no. 1 (February 1, 2016): 46–64. http://dx.doi.org/10.3996/032015-jfwm-026.

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Abstract (sommario):
Abstract A common strategy for recovering endangered species is ensuring that populations exceed the minimum viable population size (MVP), a demographic benchmark that theoretically ensures low long-term extinction risk. One method of establishing MVP is population viability analysis, a modeling technique that simulates population trajectories and forecasts extinction risk based on a series of biological, environmental, and management assumptions. Such models also help identify key uncertainties that have a large influence on extinction risk. We used stochastic count-based simulation models to
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20

Chaudhary, Vratika, and Madan K. Oli. "A critical appraisal of population viability analysis." Conservation Biology 34, no. 1 (September 16, 2019): 26–40. http://dx.doi.org/10.1111/cobi.13414.

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21

MENGES, ERIC S. "Population Viability Analysis for an Endangered Plant." Conservation Biology 4, no. 1 (March 1990): 52–62. http://dx.doi.org/10.1111/j.1523-1739.1990.tb00267.x.

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22

Elliott, Graeme P. "Mohua and stoats: A population viability analysis." New Zealand Journal of Zoology 23, no. 3 (January 1996): 239–47. http://dx.doi.org/10.1080/03014223.1996.9518083.

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23

McCarthy, M. A., H. P. Possingham, J. R. Day, and A. J. Tyre. "Testing the Accuracy of Population Viability Analysis." Conservation Biology 15, no. 4 (August 3, 2001): 1030–38. http://dx.doi.org/10.1046/j.1523-1739.2001.0150041030.x.

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24

McCarthy, Michael A., Mark A. Burgman, and Scott Ferson. "Sensitivity analysis for models of population viability." Biological Conservation 73, no. 2 (1995): 93–100. http://dx.doi.org/10.1016/0006-3207(95)90029-2.

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25

Breen, Paul A., David J. Gilbert, and Paul J. Starr. "Comment on sea lion population viability analysis." Polar Biology 35, no. 10 (July 19, 2012): 1617–18. http://dx.doi.org/10.1007/s00300-012-1218-z.

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26

Holmes, Elizabeth E., and William F. Fagan. "VALIDATING POPULATION VIABILITY ANALYSIS FOR CORRUPTED DATA SETS." Ecology 83, no. 9 (September 2002): 2379–86. http://dx.doi.org/10.1890/0012-9658(2002)083[2379:vpvafc]2.0.co;2.

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27

Coulson, Tim, Georgina M. Mace, Elodie Hudson, and Hugh Possingham. "The use and abuse of population viability analysis." Trends in Ecology & Evolution 16, no. 5 (May 2001): 219–21. http://dx.doi.org/10.1016/s0169-5347(01)02137-1.

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28

GRIMM, VOLKER, ELOY REVILLA, JURGEN GROENEVELD, STEPHANIE KRAMER-SCHADT, MONIKA SCHWAGER, JORG TEWS, MATTHIAS C. WICHMANN, and FLORIAN JELTSCH. "Importance of Buffer Mechanisms for Population Viability Analysis." Conservation Biology 19, no. 2 (April 2005): 578–80. http://dx.doi.org/10.1111/j.1523-1739.2005.000163.x.

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29

Brook, Barry W. "Pessimistic and Optimistic Bias in Population Viability Analysis." Conservation Biology 14, no. 2 (April 2000): 564–66. http://dx.doi.org/10.1046/j.1523-1739.2000.99039.x.

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30

McCarthy, Michael A., Sandy J. Andelman, and Hugh P. Possingham. "Reliability of Relative Predictions in Population Viability Analysis." Conservation Biology 17, no. 4 (August 2003): 982–89. http://dx.doi.org/10.1046/j.1523-1739.2003.01570.x.

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31

Lindenmayer, David B., Robert C. Lacy, and Matthew L. Pope. "TESTING A SIMULATION MODEL FOR POPULATION VIABILITY ANALYSIS." Ecological Applications 10, no. 2 (April 2000): 580–97. http://dx.doi.org/10.1890/1051-0761(2000)010[0580:tasmfp]2.0.co;2.

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32

Ferchichi, A., M. Jerry, and S. Ben Miled. "Viability Analysis of Fisheries Management on Hermaphrodite Population." Acta Biotheoretica 62, no. 3 (June 18, 2014): 355–69. http://dx.doi.org/10.1007/s10441-014-9228-6.

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33

McGowan, Conor P., Michael C. Runge, and Michael A. Larson. "Incorporating parametric uncertainty into population viability analysis models." Biological Conservation 144, no. 5 (May 2011): 1400–1408. http://dx.doi.org/10.1016/j.biocon.2011.01.005.

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34

Fujiwara, Masami. "EXTINCTION-EFFECTIVE POPULATION INDEX: INCORPORATING LIFE-HISTORY VARIATIONS IN POPULATION VIABILITY ANALYSIS." Ecology 88, no. 9 (September 2007): 2345–53. http://dx.doi.org/10.1890/06-1405.1.

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35

Legault, Christopher M. "Population Viability Analysis of Atlantic Salmon in Maine, USA." Transactions of the American Fisheries Society 134, no. 3 (May 2005): 549–62. http://dx.doi.org/10.1577/t04-017.1.

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36

Reed, J. Michael. "Population Viability Analysis Steven R. Beissinger Dale R. McCullough." Auk 120, no. 1 (January 2003): 237–39. http://dx.doi.org/10.2307/4090171.

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37

Zhou, Zhihua, and Wenshi Pan. "Analysis of the Viability of a Giant Panda Population." Journal of Applied Ecology 34, no. 2 (April 1997): 363. http://dx.doi.org/10.2307/2404882.

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38

Hertz, Morten, Iben Ravnborg Jensen, Laura Østergaard Jensen, Iben Vejrum Nielsen, Jacob Winde, Astrid Vik Stronen, Torsten Nygaard Kristensen, and Cino Pertoldi. "Population viability analysis on a native Danish cattle breed." Animal Genetic Resources/Ressources génétiques animales/Recursos genéticos animales 59 (October 26, 2016): 105–12. http://dx.doi.org/10.1017/s2078633616000205.

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SummaryMany domestic breeds face challenges concerning genetic variability, because of their small population sizes along with a high risk of inbreeding. Therefore, it is important to obtain knowledge on their extinction risk, along with the possible benefits of certain breeding strategies. Since many domestic breeds face the same problems, results from such studies can be applied across breeds and species. Here a Population Viability Analysis (PVA) was implemented to simulate the future probability of extinction for a population of the endangered Danish Jutland cattle (Bos taurus), based on t
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39

武, 祥伟. "A Preliminary Analysis on Population Viability for Triplophysa venusta." Open Journal of Fisheries Research 02, no. 03 (2015): 31–41. http://dx.doi.org/10.12677/ojfr.2015.23004.

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40

Hernández-Camacho, CJ, and AW Trites. "Population viability analysis of Guadalupe fur seals Arctocephalus townsendi." Endangered Species Research 37 (December 13, 2018): 255–67. http://dx.doi.org/10.3354/esr00925.

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41

Lacy, RC. "VORTEX: a computer simulation model for population viability analysis." Wildlife Research 20, no. 1 (1993): 45. http://dx.doi.org/10.1071/wr9930045.

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Abstract (sommario):
Population Viability Analysis (PVA) is the estimation of extinction probabilities by analyses that incorporate identifiable threats to population survival into models of the extinction process. Extrinsic forces, such as habitat loss, over-harvesting, and competition or predation by introduced species, often lead to population decline. Although the traditional methods of wildlife ecology can reveal such deterministic trends, random fluctuations that increase as populations become smaller can lead to extinction even of populations that have, on average, positive population growth when below carr
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42

Brook, Barry W., Julian J. O'Grady, Andrew P. Chapman, Mark A. Burgman, H. Resit Akçakaya, and Richard Frankham. "Predictive accuracy of population viability analysis in conservation biology." Nature 404, no. 6776 (March 2000): 385–87. http://dx.doi.org/10.1038/35006050.

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43

King, Richard B., Callie K. Golba, Gary A. Glowacki, and Andrew R. Kuhns. "Blanding's Turtle Demography and Population Viability." Journal of Fish and Wildlife Management 12, no. 1 (April 1, 2021): 112–38. http://dx.doi.org/10.3996/jfwm-20-063.

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Abstract In anticipation of U.S. federal status classification (warranted, warranted but precluded, not warranted), scheduled for 2023, we provide population viability analysis of the Blanding's turtle Emydoidea blandingii, a long-lived, late-maturing, semi-aquatic species of conservation concern throughout its range. We present demographic data from long-term study of a population in northeastern Illinois and use these data as the basis for viability and sensitivity analyses focused on parameter uncertainty and geographic parameter variation. We use population viability analysis to identify p
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44

Lee, Sang-Don. "Long-term population monitoring with population viability analysis of river otter in Korea." Journal of Environmental Impact Assessment 22, no. 5 (October 31, 2013): 525–28. http://dx.doi.org/10.14249/eia.2013.22.5.525.

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45

LaMontagne, Jalene M., Robyn L. Irvine, and Elizabeth E. Crone. "Spatial patterns of population regulation in sage grouse (Centrocercus spp.) population viability analysis." Journal of Animal Ecology 71, no. 4 (July 2002): 672–82. http://dx.doi.org/10.1046/j.1365-2656.2002.00629.x.

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46

Thirstrup, J. P., L. A. Bach, V. Loeschcke, and C. Pertoldi. "Population viability analysis on domestic horse breeds (Equus caballus)1." Journal of Animal Science 87, no. 11 (November 1, 2009): 3525–35. http://dx.doi.org/10.2527/jas.2008-1760.

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47

Bocetti, Carol I. "New Book Evaluates Population Viability Analysis as a Conservation Tool." Ecology 84, no. 2 (February 2003): 536–37. http://dx.doi.org/10.1890/0012-9658(2003)084[0536:nbepva]2.0.co;2.

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48

Al-Atiyat, Raed M. "Extinction probabilities of Jordan indigenous cattle using population viability analysis." Livestock Science 123, no. 2-3 (August 2009): 121–28. http://dx.doi.org/10.1016/j.livsci.2008.10.016.

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49

Armstrong, E., A. Postiglioni, and S. González. "Population viability analysis of the Uruguayan Creole cattle genetic reserve." Animal Genetic Resources Information 38 (April 2006): 19–33. http://dx.doi.org/10.1017/s1014233900002029.

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Abstract (sommario):
SummaryUruguayan Creole cattle are descended from animals brought by the Spanish conquerors. The population grew extensively without directional management and became semi-wild before the introduction of commercial breeds in the 19th century. Today only 575 animals remain, restricted to the San Miguel National Park. We performed a population viability analysis of this reserve using VORTEX v. 8.31 to study its demographic and genetic parameters, assess the environmental factors that affect its development, evaluate its future risk of extinction and test different management options. The probabi
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50

Jager, Henriëtte I., Ken Lepla, James Chandler, Phil Bates, and Webb Van Winkle. "Population viability analysis of white sturgeon and other riverine fishes." Environmental Science & Policy 3 (September 2000): 483–89. http://dx.doi.org/10.1016/s1462-9011(00)00063-0.

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