Access the full text.
Sign up today, get DeepDyve free for 14 days.
D. Lindenmayer, M. Burgman, H. Akçakaya, R. Lacy, H. Possingham (1995)
A Review of the Generic Computer Programs ALEX, RAMAS/space and VORTEX for Modelling the Viability of Wildlife MetapopulationsEcological Modelling, 82
R. Harris, Lynn Maguire, M. Shaffer (1987)
Sample Sizes for Minimum Viable Population EstimationConservation Biology, 1
R. C. Lacy, T. W. Clark (1990)
Management and conservation of small populationsPacific Conserv. Biol.
D. Lindenmayer, R. Lacy (1995)
Metapopulation Viability of Leadbeater's Possum, Gymnobelideus Leadbeateri, in Fragmented Old‐Growth ForestsEcological Applications, 5
(1990)
Population viability assessment of the eastern barred bandicoot in Victoria
M. L. Shaffer (1981)
Minimum viable population sizes for species conservation., 31
J. Sauer (1992)
[Software review] RAMAS/Stage: Generalized stage-based modeling for population dynamics
R. B. Harris, L. H. Metzgar, C. D. Bevin (1986)
GAPPS: generalized animal population projection system. Version 3.1. User's manualAm. Nat.
C. Binkley, Richard Miller (1983)
Population characteristics of the Whooping Crane, Grus americanaCanadian Journal of Zoology, 61
L. Ginzburg, S. Ferson, H. Akçakaya (1990)
Reconstructibility of Density Dependence and the Conservative Assessment of Extinction RisksConservation Biology, 4
C. S. Binkley, R. S. Miller (1983)
Population characteristics of the Whooping CraneBiol Conserv., 61
J. Nedelman, Jane Thompson, R. Taylor (1987)
The Statistical Demography of Whooping CranesEcology, 68
M. Shaffer (1981)
Minimum Population Sizes for Species ConservationBioScience, 31
(1991)
Whooping crane (Grus americana) conservation viability assessment workshop. Apple Valley: IUCN/SSC Captive Breeding Specialist Group
C. Mirande, J. Cannon, Kimberly Agzigian, R. Bogart, S. Christiansen, J. Dubow, A. Fernandez, Dustin Howarth, C. Jones, Katherine Munson, Sonal Pandya, Gina Sedaghatkish, Kevin Skerl, Susan Stenquist, J. Wheeler (1997)
COMPUTER SIMULATIONS OF POSSIBLE FUTURES FOR TWO FLOCKS OF WHOOPINGCRANES
M. Burgman, S. Ferson, H. Akçakaya (1993)
Risk assessment in conservation biology
H. Caswell (1989)
Matrix population models: construction, analysis, and interpretation.Conserv. Biol.
(1991)
Planning for the re-introduction of scimitar-horned oryx (Oryx dammah) and addax (Addax nasomaculatus) into Niger
(1989)
Conservation biology in the twenty-first century: summary and outlook
P. Leslie (1945)
On the use of matrices in certain population mathematics.Biometrika, 33
B. F. Ryan, B. L. Joiner, T. A. Ryan (1994)
MINITAB handbook
B. Groombridge (1992)
Global biodiversity: status of the earth's living resources.
M. E. Gilpin, M. E. Soulé (1986)
Conservation biology: the science of scarcity and diversityEcol. Applic.
D. B. Lindenmayer, H. P. Possingham (1994)
The risk of extinction: ranking management options for Leadbeater's possum using population viability analysis
J. Perry, G. Swartzman, S. Kaluzny (1988)
Ecological Simulation PrimerJournal of Animal Ecology, 57
(1992)
Conservation biology: the ecology and genetics of endangered species
M. E. Soulé, K. A. Kohm (1989)
Research priorities for conservation biology.
T. Clark, Gary Backhouse, R. Lacy (1991)
Report of a workshop on population viability assessment as a tool for threatened species management and conservationThe Australian zoologist, 27
(1990)
Modeling fluctuations
M. S. Boyce (1992)
Population viability analysis.Biometrics, 23
R. Sokal, F. Rohlf, Freeman, Co. (1969)
Biometry: The Principles and Practice of Statistics in Biological Research
(1995)
A review of three models
(1996)
RAMAS Metapop: viability analysis for stage-structured metapopulations (version 2.0)
H. Possingham, D. Lindenmayer, T. Norton (1994)
A framework for the improved management of threatened species based on Population Viability Analysis (PVA)Pacific Conservation Biology, 1
K. Ralls, J. Ballou, A. Templeton (1988)
Estimates of Lethal Equivalents and the Cost of Inbreeding in MammalsConservation Biology, 2
(1995)
Special issue: applications of population viability analysis to biodiversity conservation
R. Lacsamana (1986)
Where do we go from here?The Journal of the Florida Medical Association, 73 12
(1994)
IUCN Red List categories
(1986)
GAPPS: generalized animal population projection system. Version 3.1. User's manual: Missoula
B. W. Brook, L. Lim, R. Harden, R. Frankham (1997)
Does population viability analysis software predict the behaviour of real populations? A retrospective study on the Lord Howe Island woodhen Tricholimnas sylvestrisAust. Zool., 82
G. Arnquist, D. Wooster (1995)
Meta‐analysis: synthesising research findings in ecology and evolution.Annu. Rev. Ecol. Syst., 10
(1995)
The PHVA process: linking small population management with wildlife conservation
R. Ramanathan (1995)
Introductory econometrics with applications
M. Soulé (1987)
Viable Populations for Conservation: Where do we go from here?
(1995)
Climate change: a successful prediction? Nature, Lond
T. Wigley (1995)
A successful prediction?Nature, 376
R. Lacy (1993)
VORTEX: a computer simulation model for population viability analysisWildlife Research, 20
G. Arnqvist, D. Wooster (1995)
Meta-analysis: synthesizing research findings in ecology and evolution.Trends in ecology & evolution, 10 6
M. Maccracken (1995)
Climate Change: The Evidence Mounts Up
D. Lindenmayer, T. Clark, R. Lacy, Virginia Thomas (1993)
Population viability analysis as a tool in wildlife conservation policy: With reference to AustraliaEnvironmental Management, 17
L. Mills, Stephen Hayes, Calib Baldwin, M. Wisdom, J. Citta, David Mattson, K. Murphy (1996)
Factors Leading to Different Viability Predictions for a Grizzly Bear Data SetConservation Biology, 10
T. W. Clark, G. N. Backhouse, R. C. Lacy (1991)
Report of a workshop on population viability assessment as a tool for threatened species management and conservation.Conserv. Biol., 27
C. Mirande, R. C. Lacy, U. Seal (1991)
conservation viability assessment workshop
H. R. Akçakaya, B. Baur (1996)
Effects of population subdivision and catastrophes on the persistence of a land snail metapopulation.Trends. Ecol. Evol., 105
G. Hartvigsen, A. Gutierrez (1997)
Applied Population EcologyEcology, 78
(1994)
MINITAB handbook. (3rd edn)
M. E. Soulé (1987)
Viable populations for conservation
M. Maccracken (1995)
The evidence mounts upNature, 376
D. B. Lindenmayer, T. W. Clark, R. C. Lacy, V. C. Thomas (1993)
Population viability analysis as a tool in wildlife management: a review with reference to Australia., 17
(1994)
The risk of extinction: ranking management options for Leadbeater's possum using population viability analysis. Canberra: Centre for Resource and Environmental Studies
S. Ferson (1994)
RAMAS® Stage: generalized stage‐based modeling for population dynamicsEcol. Model.
B. Brook, L. Lim, R. Harden, R. Frankham (1997)
Does population viability analysis software predict the behaviour of real populations? A retrospective study on the Lord Howe Island woodhen Tricholimnas sylvestris (Sclater)Biological Conservation, 82
S. Ferson, H. R. Akçakaya (1990)
Modeling fluctuations in age‐structured populations: RAMA® Age users manualEnviron. Mgmt
M. C. McCracken (1995)
Climate change: the evidence mounts up. Nature, 376
D. B. Lindenmayer, M. A. Burgman, H. R. Akçakaya, R. C. Lacy, H. P. Possingham (1995)
A review of three models for metapopulation viability analysis ‐ ALEX, RAMAS/Space and VORTEX., 82
A. P. Dobson, G. M. Mace, J. Poole, R. A. Brett (1992)
Genes in ecologyBiometrika
R. C. Lacy (1993)
VORTEX: a computer simulation for use in population viability analysis.Ecology, 20
L. Mills, Peter Smouse (1994)
Demographic Consequences of Inbreeding in Remnant PopulationsThe American Naturalist, 144
T. M. L. Wrigley (1995)
Climate change: a successful prediction, 376
K. Bailey, R. Sokal, F. Rohlf (1982)
Biometry: The Principles and Practice of Statistics in Biological Research (2nd ed.).Journal of the American Statistical Association, 77
(1995)
Putting population viability analysis to work in endangered species recovery and small population management
M. Bulmer (1975)
The statistical analysis of density dependence.Biometrics, 31 4
D. Olsen, David Blankenship, H. Irby, R. Erickson, R. Lock, R. Drewien, L. Smith (1980)
Whooping crane recovery plan
L. Lefkovitch (1965)
The study of population growth in organisms grouped by stagesBiometrics, 21
(1986)
Minimum viable populations : processes of extinction
L. Eberhardt, R. Knight, B. Blanchard (1986)
Monitoring grizzly bear population trendsJournal of Wildlife Management, 50
(1995)
VOR-TEX: a stochastic simulation of the extinction process. Version 7 user's manual
M.E. Soulé (1989)
Conservation for the twenty‐first century
Population viability analysis (PVA) is widely used in conservation biology to compare management strategies and predict probabilities of extinction for endangered species. However, it remains unclear whether the available range of generic PVA programs produce similar predictions when applied to common data sets. A comparative analysis was carried out using six commonly applied PVA packages (GAPPS, INMAT, RAMAS Age, RAMAS Metapop, RAMAS Stage and VORTEX), based on the extensive population data available for the endangered whooping crane, Grus americana. Significant differences were found between the projections of the PVA packages. In particular, the introduction of stochastic variation in breeding structure led to large differences between some packages. Surprisingly, two versions of VORTEX produced very different predictions due to a subtle difference in the way monogamous breeding was modelled. The pattern of similarities and differences among the projections of the packages differ depending on the species examined. In contrast to the predictions of comprehensive (realistic) models, simplified (standardized) models were found to be relatively congruent, which probably reflects similarities in the fundamental biological processes being modelled by the PVA packages. The implications for conservation are clear; caution must be exercised when interpreting the projections of a model built using any one PVA package since, due to seemingly subtle differences in what biological assumptions and threatening processes are included in the models, the predictions among PVA packages (or versions of the same program) are not necessarily concordant.
Animal Conservation – Wiley
Published: Feb 1, 1999
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.