The Cited By Papers

  1. Abe, T., K. Wada, and N. Nakagoshi, 2008. Extinction threats of a narrowly endemic shrub, Stachyurus macrocarpus (Stachyuraceae) in the Ogasawara Islands. PLANT ECOLOGY 198:169–183.
  2. Akcakaya, H., 2001. Linking population-level risk assessment with landscape and habitat models. SCIENCE OF THE TOTAL ENVIRONMENT 274:283–291.
  3. Akcakaya, H., J. Atwood, D. Breininger, C. Collins, and B. Duncan, 2003. Metapopulation dynamics of the California least tern. JOURNAL OF WILDLIFE MANAGEMENT 67:829–842.
  4. Al-Atiyat, R. M., 2009. Extinction probabilities of Jordan indigenous cattle using population viability analysis. LIVESTOCK SCIENCE 123:121–128.
  5. Asquith, N., 2001. Misdirections in conservation biology. CONSERVATION BIOLOGY 15:345–352.
  6. Bach, L. A., R. B. F. Pedersen, M. W. Hayward, J. Stagegaard, V. Loeschcke, and C. Pertoldi, 2010. Assessing re-introductions of the African Wild dog (Lycaon pictus) in the Limpopo Valley Conservancy, South Africa, using the stochastic simulation program VORTEX. JOURNAL FOR NATURE CONSERVATION 18:237–246.
  7. Bain, M. B., N. Haley, D. L. Peterson, K. K. Arend, K. E. Mills, and P. J. Sullivan, 2007. Recovery of a US Endangered Fish. PLOS ONE 2.
  8. Balbontin, J., V. Penteriani, and M. Ferrer, 2005. Humans act against the natural process of breeder selection: a modern sickness for animal populations? BIODIVERSITY AND CONSERVATION 14:179–186.
  9. Ball, S., D. Lindenmayer, and H. Possingham, 2003. The predictive accuracy of population viability analysis: a test using data from two small mammal species in a fragmented landscape. BIODIVERSITY AND CONSERVATION 12:2393–2413.
  10. Bartell, S., R. Pastorok, H. Akcakaya, H. Regan, S. Ferson, and C. Mackay, 2003. Realism and relevance of ecological models used in chemical risk assessment. HUMAN AND ECOLOGICAL RISK ASSESSMENT 9:907–938.
  11. Beaudry, F., P. G. deMaynadier, and M. L. Hunter, Jr., 2008. Identifying road mortality threat at multiple spatial scales for semi-aquatic turtles. BIOLOGICAL CONSERVATION 141:2550–2563.
  12. Beissinger, S., J. Walters, D. Catanzaro, K. Smith, J. Dunning, S. Haig, B. Noon, and B. Stith, 2006. Modeling approaches in avian conservation and the role of field biologists. AUK 123:1–56.
  13. Bergman, K. and O. Kindvall, 2004. Population viability analysis of the butterfly Lopinga achine in a changing landscape in Sweden. ECOGRAPHY 27:49–58.
  14. Berlinguer, F., G. Leoni, L. Bogliolo, D. Bebbere, S. Succu, I. Rosati, S. Ledda, and S. Naitana, 2005. In vivo and in vitro fertilizing capacity of cryopreserved European mouflon [Ovis gmelini musimon] spermatozoa used to restore genetically rare and isolated populations. THERIOGENOLOGY 63:902–911.
  15. Berry, O., M. Tocher, and S. Sarre, 2004. Can assignment tests measure dispersal? MOLECULAR ECOLOGY 13:551–561.
  16. Bjorklund, M. and J. Arrendal, 2008. Demo-genetic analysis of a recovering population of otters in Central Sweden. ANIMAL CONSERVATION 11:529–534.
  17. Boyd, I. L., 2010. Assessing the effectiveness of conservation measures: Resolving the “wicked” problem of the Steller sea lion. BIOLOGICAL CONSERVATION 143:1664– 1674.
  18. Bradbury, R., R. Payne, J. Wilson, and J. Krebs, 2001. Predicting population responses to resource management. TRENDS IN ECOLOGY & EVOLUTION 16:440–445.
  19. Brito, D. and G. Da Fonseca, 2006. Evaluation of minimum viable population size and conservation status of the long-furred woolly mouse opossum Micoureus paraguayanus: An endemic marsupial of the Atlantic Forest. BIODIVERSITY AND CONSERVATION 15:1713–1728.
  20. Brito, D. and F. Fernandez, 2002. Patch relative importance to metapopulation viability: the neotropical marsupial Micoureus demerarae as a case study. ANIMAL CONSERVATION 5:45–51.
  21. Brito, D. and M. Figueiredo, 2003. Minimum viable population and conservation status of the Atlantic Forest spiny rat Trinomys eliasi. BIOLOGICAL CONSERVATION 113:153–158.
  22. Brito, D. and G. A. B. da Fonseca, 2007. Demographic consequences of population subdivision on the long-furred woolly mouse opossum (Micoureus paraquayanus) from the Atlantic Forest. ACTA OECOLOGICA-INTERNATIONAL JOURNAL OF ECOLOGY 31:60–68.
  23. Brito, D. and C. Grelle, 2004. Effectiveness of a reserve network for the conservation of the endemic marsupial Micoureus travassosi in Atlantic Forest remnants in southeastern Brazil. BIODIVERSITY AND CONSERVATION 13:2519–2536.
  24. Brook, B., M. Burgman, H. Akcakaya, J. O’Grady, and R. Frankham, 2002a. Critiques of PVA ask the wrong questions: Throwing the heuristic baby out with the numerical bath water. CONSERVATION BIOLOGY 16:262–263.
  25. Brook, B., A. Griffiths, and H. Puckey, 2002b. Modelling strategies for the management of the critically endangered Carpentarian rock-rat (Zyzomys palatalis) of northern Australia. JOURNAL OF ENVIRONMENTAL MANAGEMENT 65:355–368.
  26. Brook, B., D. Tonkyn, J. Q’Grady, and R. Frankham, 2002c. Contribution of inbreeding to extinction risk in threatened species. CONSERVATION ECOLOGY 6.
  27. Bruggeman, D. J., M. L. Jones, K. Scribner, and F. Lupi, 2009. Relating tradable credits for biodiversity to sustainability criteria in a dynamic landscape. LANDSCAPE ECOLOGY 24:775–790.
  28. Bull, J. C., N. J. Pickup, B. Pickett, M. P. Hassell, and M. B. Bonsall, 2007. Metapopulation extinction risk is increased by environmental stochasticity and assemblage complexity. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES 274:87–96.
  29. Burgman, M., 2000. Population viability analysis for bird conservation: Prediction, heuristics, monitoring and psychology. EMU 100:347–353.
  30. Burns, C. E. and J. S. Grear, 2008. Effects of habitat loss on populations of white-footed mice: testing matrix model predictions with landscape-scale perturbation experiments. LANDSCAPE ECOLOGY 23:817–831.
  31. Cattadori, I., G. Ranci-Ortigosa, M. Gatto, and P. Hudson, 2003. Is the rock partridge Alectoris graeca saxatilis threatened in the Dolomitic Alps? ANIMAL CONSERVATION 6:71–81.
  32. Chapman, A., B. Brook, T. Clutton-Brock, B. Grenfell, and R. Frankham, 2001. Population viability analyses on a cycling population: a cautionary tale. BIOLOGICAL CONSERVATION 97:61–69.
  33. Clark, J., S. Carpenter, M. Barber, S. Collins, A. Dobson, J. Foley, D. Lodge, M. Pascual, R. Pielke, W. Pizer, C. Pringle, W. Reid, K. Rose, O. Sala, W. Schlesinger, D. Wall, and D. Wear, 2001. Ecological forecasts: An emerging imperative. SCIENCE 293:657–660.
  34. Conroy, S. and B. Brook, 2003. Demographic sensitivity and persistence of the threatened white-and orange-bellied frogs of Western Australia. POPULATION ECOLOGY 45:105–114.
  35. Coulson, T., G. Mace, E. Hudson, and H. Possingham, 2001. The use and abuse of population viability analysis. TRENDS IN ECOLOGY & EVOLUTION 16:219–221.
  36. Crone, E. E., E. S. Menges, M. M. Ellis, T. Bell, P. Bierzychudek, J. Ehrlen, T. N. Kaye, T. M. Knight, P. Lesica, W. F. Morris, G. Oostermeijer, P. F. Quintana-Ascencio, A. Stanley, T. Ticktin, T. Valverde, and J. L. Williams, 2011. How do plant ecologists use matrix population models? ECOLOGY LETTERS 14:1–8.
  37. Daleszczyk, K. and A. N. Bunevich, 2009. Population viability analysis of European bison populations in Polish and Belarusian parts of Bialowieza Forest with and without gene exchange. BIOLOGICAL CONSERVATION 142:3068–3075.
  38. Doak, D., K. Gross, and W. Morris, 2005. Understanding and predicting the effects of sparse data on demographic analyses. ECOLOGY 86:1154–1163.
  39. Drake, J., 2005. Density-dependent demographic variation determines extinction rate of experimental populations. PLOS BIOLOGY 3:1300–1304.
  40. Drake, J. and D. Lodge, 2004. Effects of environmental variation on extinction and establishment. ECOLOGY LETTERS 7:26–30.
  41. Dunham, A. E., H. R. Akcakaya, and T. S. Bridges, 2006. Using scalar models for precautionary assessments of threatened species. CONSERVATION BIOLOGY 20:1499– 1506.
  42. Eken, G., L. Bennun, T. Brooks, W. Darwall, L. Fishpool, M. Foster, D. Knox, P. Lang-hammer, P. Matiku, E. Radford, P. Salaman, W. Sechrest, M. Smith, S. Spector, and A. Tordoff, 2004. Key biodiversity areas as site conservation targets. BIOSCIENCE 54:1110–1118.
  43. Ellner, S., J. Fieberg, D. Ludwig, and C. Wilcox, 2002. Precision of population viability analysis. CONSERVATION BIOLOGY 16:258–261.
  44. Engelen, A., A. Breeman, J. Olsen, W. Stam, and P. Aberg, 2005. Life history flexibility allows Sargassum polyceratium to persist in different environments subjected to stochastic disturbance events. CORAL REEFS 24:670–680.
  45. Fagan, W. and E. Holmes, 2006. Quantifying the extinction vortex. ECOLOGY LETTERS 9:51–60.
  46. Fero, O., P. A. Stephens, Z. Barta, J. M. McNamara, and A. I. Houston, 2008. Optimal annual routines: New tools for conservation biology? ECOLOGICAL APPLICATIONS 18:1563–1577.
  47. Fessl, B., H. G. Young, R. P. Young, J. Rodriguez-Matamoros, M. Dvorak, S. Tebbich, and J. E. Fa, 2010. How to save the rarest Darwin’s finch from extinction: the mangrove finch on Isabela Island. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES 365:1019–1030.
  48. Fieberg, J. and S. Ellner, 2001. Stochastic matrix models for conservation and management: a comparative review of methods. ECOLOGY LETTERS 4:244–266.
  49. Fox, G. and B. Kendall, 2002. Demographic stochasticity and the variance reduction effect. ECOLOGY 83:1928–1934.
  50. Galimberti, F., S. Sanvito, L. Boitani, and A. Fabiani, 2001. Viability of the southern elephant seal population of the Falkland Islands. ANIMAL CONSERVATION 4:81–88.
  51. Gao, X., S. Brosse, Y. Chen, S. Lek, and J. Chang, 2009. Effects of damming on population sustainability of Chinese sturgeon, Acipenser sinensis: evaluation of optimal conservation measures. ENVIRONMENTAL BIOLOGY OF FISHES 86:325–336.
  52. Gleason, T. and D. Nacci, 2001. Risks of endocrine-disrupting compounds to wildlife: Extrapolating from effects on individuals to population response. HUMAN AND ECOLOGICAL RISK ASSESSMENT 7:1027–1042.
  53. Gonzalez-Suarez, M., K. McCluney, D. Aurioles, and L. Gerber, 2006. Incorporating uncertainty in spatial structure for viability predictions: a case study of California sea lions (Zalophus californianus californianus). ANIMAL CONSERVATION 9:219–227.
  54. Grimm, V., H. Lorek, J. Finke, F. Koester, M. Malachinski, M. Sonnenschein, A. Moilanen, I. Storch, A. Singer, C. Wissel, and K. Frank, 2004. META-X: generic software for metapopulation viability analysis. BIODIVERSITY AND CONSERVATION 13:165–188.
  55. Guisan, A., O. Broennimann, R. Engler, M. Vust, N. Yoccoz, A. Lehmann, and N. Zimmermann, 2006. Using niche-based models to improve the sampling of rare species. CONSERVATION BIOLOGY 20:501–511.
  56. Gurevitch, J., P. Curtis, and M. Jones, 2001. Meta-analysis in ecology. Pp. 199–247, in ADVANCES IN ECOLOGICAL RESEARCH, VOL 32, ADVANCES IN ECOLOGICAL RESEARCH, vol. 32.
  57. Gutierrez, D., 2005. Effectiveness of existing reserves in the long-term protection of a regionally rare butterfly. CONSERVATION BIOLOGY 19:1586–1597.
  58. Haines, A. M., M. E. Tewes, L. L. Laack, J. S. Horne, and J. H. Young, 2006. A habitat-based population viability analysis for ocelots (Leopardus pardalis) in the United States. BIOLOGICAL CONSERVATION 132:424–436.
  59. Halley, J., 2003. Parameter drift stabilizes long-range extinction forecasts. ECOLOGY LETTERS 6:392–397.
  60. Halley, J. and P. Inchausti, 2004. The increasing importance of 1/f-noises as models of ecological variability. FLUCTUATION AND NOISE LETTERS 4:R1–R26.
  61. Haydon, D., M. Laurenson, and C. Sillero-Zubiri, 2002. Integrating epidemiology into population viability analysis: Managing the risk posed by rabies and canine distemper to the Ethiopian wolf. CONSERVATION BIOLOGY 16:1372–1385.
  62. Hendriks, A. J., B. J. C. Willers, H. J. R. Lenders, and R. S. E. W. Leuven, 2009. Towards a coherent allometric framework for individual home ranges, key population patches and geographic ranges. ECOGRAPHY 32:929–942.
  63. Hernan Vargas, F., R. C. Lacy, P. J. Johnson, A. Steinfurth, R. J. M. Crawford, P. D. Boersma, and D. W. Macdonald, 2007. Modelling the effect of El Nino on the persistence of small populations: The Galapagos penguin as a case study. BIOLOGICAL CONSERVATION 137:138–148.
  64. High, B., K. A. Meyer, D. J. Schill, and E. R. J. Mamer, 2008. Distribution, Abundance, and Population Trends of Bull Trout in Idaho. NORTH AMERICAN JOURNAL OF FISHERIES MANAGEMENT 28:1687–1701.
  65. Holmes, E. and W. Fagan, 2002. Validating population viability analysis for corrupted data sets. ECOLOGY 83:2379–2386.
  66. Holmes, E. E., J. L. Sabo, S. V. Viscido, and W. F. Fagan, 2007. A statistical approach to quasi-extinction forecasting. ECOLOGY LETTERS 10:1182–1198.
  67. Jacobson, A., A. Provenzale, A. Von Hardenberg, B. Bassano, and M. Festa-Bianchet, 2004. Climate forcing and density dependence in a mountain ungulate population. ECOLOGY 85:1598–1610.
  68. Jaric, I., M. Lenhardt, G. Cvijanovic, and T. Ebenhard, 2009. POPULATION VIABILITY ANALYSIS AND POTENTIAL OF ITS APPLICATION TO DANUBE STURGEONS. ARCHIVES OF BIOLOGICAL SCIENCES 61:123–128.
  69. Jelks, H. L., S. J. Walsh, N. M. Burkhead, S. Contreras-Balderas, E. Diaz-Pardo, D. A. Hendrickson, J. Lyons, N. E. Mandrak, F. McCormick, J. S. Nelson, S. P. Platania, B. A. Porter, C. B. Renaud, J. J. Schmitter-Soto, E. B. Taylor, and M. L. Warren, Jr., 2008. Conservation Status of Imperiled North American Freshwater and Diadromous Fishes. FISHERIES 33:372–407.
  70. Jerde, C. L., C. J. Bampfylde, and M. A. Lewis, 2009. Chance Establishment for Sexual, Semelparous Species: Overcoming the Allee Effect. AMERICAN NATURALIST 173:734–746.
  71. Kalliovirta, M., T. Ryttari, and R. K. Heikkinen, 2006. Population structure of a threatened plant, Pulsatilla patens, in boreal forests: modelling relationships to overgrowth and site closure. BIODIVERSITY AND CONSERVATION 15:3095–3108.
  72. Karlsson, P., T. Jonsson, and A. Jonsson, 2007. Food web structure and interaction strength pave the way for vulnerability to extinction. JOURNAL OF THEORETICAL BIOLOGY 249:77–92.
  73. Kaye, T. and D. Pyke, 2003. The effect of stochastic technique on estimates of population viability from transition matrix models. ECOLOGY 84:1464–1476.
  74. Kindvall, O. and U. Gardenfors, 2003. Temporal extrapolation of PVA results in relation to the IUCN Red List criterion E. CONSERVATION BIOLOGY 17:316–321.
  75. Koenig, S. E., 2008. Black-billed Parrot (Amazona agilis) population viability assessment (PVA): A science-based prediction for policy makers. ORNITOLOGIA NEOTROPICAL 19:135–149.
  76. Kohmann, S., G. Schmidt, and D. Garcelon, 2005. A population viability analysis for the Island Fox on Santa Catalina Island, California. ECOLOGICAL MODELLING 183:77–94.
  77. Krishnayya, N., M. Sreehari, B. Pandya, and S. Kadam, 2004. Population viability analysis for herbaceous vegetation: A stochastic model and projections by simulation. CURRENT SCIENCE 86:1534–1538.
  78. La Montagne, J., R. Irvine, and E. Crone, 2002. Spatial patterns of population regulation in sage grouse (Centrocercus spp.) population viability analysis. JOURNAL OF ANIMAL ECOLOGY 71:672–682.
  79. Landenberger, R., J. McGraw, T. Warner, and T. Brandtberg, 2003. Potential of digital color imagery for censusing Haleakala silverswords in Hawaii. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING 69:915–923.
  80. Lara-Ruiz, P. and A. Chiarello, 2005. Life-history traits and sexual dimorphism of the Atlantic forest maned sloth Bradypus torquatus (Xenarthra : Bradypodidae). JOURNAL OF ZOOLOGY 267:63–73.
  81. Li, Y., Z. Guo, Q. Yang, Y. Wang, and J. Niemela, 2003. The implications of poaching for giant panda conservation. BIOLOGICAL CONSERVATION 111:125–136.
  82. Lindenmayer, D. and R. Lacy, 2002. Small mammals, habitat patches and PVA models: a field test of model predictive ability. BIOLOGICAL CONSERVATION 103:247–265.
  83. Lindenmayer, D., H. Possingham, R. Lacy, M. McCarthy, and M. Pope, 2003. How accurate are population models? Lessons from landscape-scale tests in a fragmented system. ECOLOGY LETTERS 6:41–47.
  84. Lindenmayer, D. B. and M. A. McCarthy, 2006. Evaluation of PVA models of arboreal marsupials: Coupling models with long-term monitoring data. BIODIVERSITY AND CONSERVATION 15:4079–4096.
  85. Lotts, K., T. Waite, and J. Vucetich, 2004. Reliability of absolute and relative predictions of population persistence based on time series. CONSERVATION BIOLOGY 18:1224– 1232.
  86. Ludwig, D., M. Mangel, and B. Haddad, 2001. Ecology, conservation, and public policy. ANNUAL REVIEW OF ECOLOGY AND SYSTEMATICS 32:481–517.
  87. Lunney, D., L. O’Neill, A. Matthews, and W. Sherwin, 2002. Modelling mammalian extinction and forecasting recovery: koalas at Iluka (NSW, Australia). BIOLOGICAL CONSERVATION 106:101–113.
  88. Mace, G. M., N. J. Collar, K. J. Gaston, C. Hilton-Taylor, H. R. Akcakaya, N. Leader-Williams, E. J. Milner-Gulland, and S. N. Stuart, 2008. Quantification of Extinction Risk: IUCN’s System for Classifying Threatened Species. CONSERVATION BIOLOGY 22:1424–1442.
  89. Martinez-Morales, M. A., P. C. Cruz, and A. D. Cuaron, 2009. Predicted population trends for Cozumel Curassows (Crax rubra griscomi): empirical evidence and predictive models in the face of climate change. JOURNAL OF FIELD ORNITHOLOGY 80:317–327.
  90. McCarthy, M., S. Andelman, and H. Possingham, 2003. Reliability of relative predictions in population viability analysis. CONSERVATION BIOLOGY 17:982–989.
  91. McCarthy, M., D. Keith, J. Tietjen, M. Burgman, M. Maunder, L. Master, B. Brook, G. Mace, H. Possingham, R. Medellin, S. Andelman, H. Regan, T. Regan, and M. Ruckelshaus, 2004. Comparing predictions of extinction risk using models and subjective judgement. ACTA OECOLOGICA-INTERNATIONAL JOURNAL OF ECOLOGY 26:67–74.
  92. McCarthy, M., H. Possingham, J. Day, and A. Tyre, 2001. Testing the accuracy of population viability analysis. CONSERVATION BIOLOGY 15:1030–1038.
  93. McCleery, R., R. Lopez, N. Silvy, and W. Grant, 2005. Effectiveness of supplemental stockings for the endangered Key Largo woodrat. BIOLOGICAL CONSERVATION 124:27–33.
  94. McMahon, C., M. Hindell, H. Burton, and M. Bester, 2005. Comparison of southern elephant seal populations, and observations of a population on a demographic knife-edge. MARINE ECOLOGY-PROGRESS SERIES 288:273–283.
  95. Mebane, C. A. and D. L. Arthaud, 2010. Extrapolating Growth Reductions in Fish to Changes in Population Extinction Risks: Copper and Chinook Salmon. HUMAN AND ECOLOGICAL RISK ASSESSMENT 16:1026–1065.
  96. Menges, E. and P. Quintana-Ascencio, 2004. Population viability with fire in Eryngium cuneifolium: Deciphering a decade of demographic data. ECOLOGICAL MONOGRAPHS 74:79–99.
  97. Meriggi, A., R. M. Della Stella, A. Brangi, M. Ferloni, E. Masseroni, E. Merli, and L. Pompilio, 2007. The reintroduction of grey and red-legged partridges (Perdix perdix and Alectoris rufa) in central Italy: a metapopulation approach. ITALIAN JOURNAL OF ZOOLOGY 74:215–237.
  98. Morris, W., P. Bloch, B. Hudgens, L. Moyle, and J. Stinchcombe, 2002. Population viability analysis in endangered species recovery plans: Past use and future improvements. ECOLOGICAL APPLICATIONS 12:708–712.
  99. Nicoll, M., C. Jones, and K. Norris, 2003. Declining survival rates in a reintroduced population of the Mauritius kestrel: evidence for non-linear density dependence and environmental stochasticity. JOURNAL OF ANIMAL ECOLOGY 72:917–926.
  100. Nielsen, C. L. R., S. M. Wakamiya, and C. K. Nielsen, 2008. Viability and patch occupancy of a swamp rabbit metapopulation at the northern edge of its distribution. BIOLOGICAL CONSERVATION 141:1043–1054.
  101. Norris, K., 2004. Managing threatened species: the ecological toolbox, evolutionary theory and declining-population paradigm. JOURNAL OF APPLIED ECOLOGY 41:413–426.
  102. Nyhus, P., F. Westley, R. Lacy, and P. Miller, 2002. A role for natural resource social science in biodiversity risk assessment. SOCIETY & NATURAL RESOURCES 15:923–932.
  103. Nyhus, P. J., R. Lacy, F. R. Westley, P. Miller, H. Vredenburg, P. Paquet, and J. Pollak, 2007. Tackling biocomplexity with meta-models for species risk assessment. ECOLOGY AND SOCIETY 12.
  104. Ogden, R., C. Shuttleworth, R. McEwing, and S. Cesarini, 2005. Genetic management of the red squirrel, Sciurus vulgaris: a practical approach to regional conservation. CONSERVATION GENETICS 6:511–525.
  105. O’Grady, J., M. Burgman, D. Keith, L. Master, S. Andelman, B. Brook, G. Hammerson, T. Regan, and R. Frankham, 2004a. Correlations among extinction risks assessed by different systems of threatened species categorization. CONSERVATION BIOLOGY 18:1624–1635.
  106. O’Grady, J., D. Reed, B. Brook, and R. Frankham, 2004b. What are the best correlates of predicted extinction risk? BIOLOGICAL CONSERVATION 118:513–520.
  107. O’Grady, J. J., B. W. Brook, D. H. Reed, J. D. Ballou, D. W. Tonkyn, and R. Frankham, 2006. Realistic levels of inbreeding depression strongly affect extinction risk in wild populations. BIOLOGICAL CONSERVATION 133:42–51.
  108. O’Grady, J. J., D. H. Reed, B. W. Brook, and R. Frankham, 2008. Extinction risk scales better to generations than to years. ANIMAL CONSERVATION 11:442–451.
  109. Olden, J. D., M. J. Kennard, F. Leprieur, P. A. Tedesco, K. O. Winemiller, and E. Garcia-Berthou, 2010. Conservation biogeography of freshwater fishes: recent progress and future challenges. DIVERSITY AND DISTRIBUTIONS 16:496–513.
  110. O’Regan, H., A. Turner, and D. Wilkinson, 2002. European Quaternary refugia: a factor in large carnivore extinction? JOURNAL OF QUATERNARY SCIENCE 17:789–795.
  111. Ovaskainen, O. and B. Meerson, 2010. Stochastic models of population extinction. TRENDS IN ECOLOGY & EVOLUTION 25:643–652.
  112. Parysow, P. and D. Tazik, 2002. Assessing the effect of estimation error on population viability analysis: an example using the black-capped vireo. ECOLOGICAL MODELLING 155:217–229.
  113. Penteriani, V. and M. del Mar Delgado, 2009. THOUGHTS ON NATAL DISPERSAL. JOURNAL OF RAPTOR RESEARCH 43:90–98.
  114. Penteriani, V., F. Otalora, F. Sergio, and M. Ferrer, 2005. Environmental stochasticity in dispersal areas can explain the ‘mysterious’ disappearance of breeding populations. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES 272:1265–1269.
  115. Perkins, D. W., P. D. Vickery, and W. G. Shriver, 2008. Population viability analysis of the Florida Grasshopper Sparrow (Ammodramus savannarum floridanus): Testing recovery goals and management options. AUK 125:167–177.
  116. Pfeifer, M., K. Wiegand, W. Heinrich, and G. Jetschke, 2006. Long-term demographic fluctuations in an orchid species driven by weather: implications for conservation planning. JOURNAL OF APPLIED ECOLOGY 43:313–324.
  117. Polishchuk, L., 2002a. A fecundity to mortality ratio, population size variability and the chance for a mammal species to be listed on the Red List. ZHURNAL OBSHCHEI BIOLOGII 63:99–111.
  118. Polishchuk, L., 2002b. Ecology: Conservation priorities for Russian mammals. SCIENCE 297:1123.
  119. Radovic, A. and T. Mikuska, 2009. TESTING THE EFFECT OF PERSECUTION AND PERMANENT DISPERSION OF SUB-ADULT BIRDS IN LONG-TERM SUSTAINABILITY OF WHITE TAILED EAGLES (HALIAEETUS ALBiCILLA L.) POPULATION AT DIFFERENT MANAGEMENT OPTIONS IN CROATIA. ACTA ZOOLOGICA ACADEMIAE SCIENTIARUM HUNGARICAE 55:395–407.
  120. Reed, A. W. and N. A. Slade, 2006. Environmental stochasticity: empirical estimates of prairie vole survival with implications for demographic models. CANADIAN JOURNAL OF ZOOLOGY-REVUE CANADIENNE DE ZOOLOGIE 84:635–642.
  121. Reed, D., 2004. Extinction risk in fragmented habitats. ANIMAL CONSERVATION 7:181–191.
  122. Reed, D., J. O’Grady, B. Brook, J. Ballou, and R. Frankham, 2003. Estimates of minimum viable population sizes for vertebrates and factors influencing those estimates. BIOLOGICAL CONSERVATION 113:23–34.
  123. Reed, J., L. Mills, J. Dunning, E. Menges, K. McKelvey, R. Frye, S. Beissinger, M. Anstett, and P. Miller, 2002. Emerging issues in population viability analysis. CONSERVATION BIOLOGY 16:7–19.
  124. Regan, H., H. Akcakaya, S. Ferson, K. Root, S. Carroll, and L. Ginzburg, 2003. Treatments of uncertainty and variability in ecological risk assessment of single-species populations. HUMAN AND ECOLOGICAL RISK ASSESSMENT 9:889–906.
  125. Regan, H., M. Colyvan, and M. Burgman, 2002. A taxonomy and treatment of uncertainty for ecology and conservation biology. ECOLOGICAL APPLICATIONS 12:618–628.
  126. Rivera, A. and C. Fernandez, 2004. A management plan for the European pond turtle (Emys orbicularis) populations of the Louro river basin (Northwest Spain). BIOLOGIA 59:161–171.
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2011 MAR 07, last updated on 2011 MAR 07
goodman@rapid.msu.montana.edu