Emerging Issues in Population Viability Analysis

By J. Reed, L. S. Mills, J. Dunning, E. Menges, Kevin S. McKelvey, R. Frye, Steven R. Beissinger, Marie‐Charlotte Anstett, P. Miller. Conservation Biology, 2002

456 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/a5353eaeeb630a2213477adbf3a0d1aea1fc86c0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

1. D. H. Reed
2. R. Frankham
3. S. Kramer‐Schadt
4. Barry W. Brook
5. T. Wiegand
6. E. Revilla
7. K. Norris
8. J. O'Grady

In Ecology

1. D. H. Reed
2. R. Frankham
3. S. Kramer‐Schadt
4. T. Wiegand
5. Barry W. Brook
6. E. Revilla
7. K. Norris
8. T. Hatfield

In Nature and Landscape Conservation

1. D. H. Reed
2. R. Frankham
3. S. Kramer‐Schadt
4. K. Norris
5. E. Revilla
6. T. Wiegand
7. T. Hatfield
8. Barry W. Brook

Citations in the corpus

• Using Population Viability Analysis to Develop Recovery Criteria for Endangered Insects: Case Study of the Fender's Blue Butterfly (2003, methodology): “Several recent studies suggest limitations of PVA methods (e.g., Ludwig 1999; Fieberg & Ellner 2000; Reed et al. 2002; Wilcox & Possingham 2002).”
• What are the best correlates of predicted extinction risk (2004, background): “While this paper generated controversy, the controversy related to species with inadequate data (Coulson et al., 2001; Reed et al., 2002), and to the precision of individual estimates of risk (Ellner et al.”
• Managing Multiple Vital Rates To Maximize Greater Sage Grouse Population Growth (2012, background): “…sensitivity analyses of matrix population models, are valuable for identifying which vital rates have the greatest influence on population growth, which show the most variability, and which should be targeted by managers (Wisdom et al. 2000, Reed et al. 2002, Koons et al. 2006, Mills 2007).”
• Population viability analysis of Cypripedium calceolus in a protected area: longevity, stability and persistence (2005, background): “Such data acquisition is, however, a necessary step for reliable predictions of future population behaviour (Reed et al. 2002).”
• Improving density estimates for elusive carnivores: Accounting for sex-specific detection and movements using spatial capture–recapture models for jaguars in central Brazil (2011, background): “density are key baseline parameters for conservation planning (Lebreton et al., 1992; Reid et al., 2002).”
• Consequences of violating the recapture duration assumption of mark-recapture models: a test using simulated and empirical data from an endangered tortoise population (2005, background): “Finally, it is the responsibility of those advising wildlife management policy makers to ensure they have a thorough understanding of the methods they use to address applied scientific questions (Mills et al. 1996; Reed et al. 2002).”
• A habitat-based population viability analysis for ocelots (Leopardus pardalis) in the United States (2006, background): “Possingham et al. (2002) and Reed et al. (2002) believed the optimal use of PVAwas to compare the outcomes for different model scenarios resulting from management decisions, and that comparisons should focus on the relative effectiveness of the different management actions, particularly compared t”
• Information needs for assessing critical habitat of freshwater fish (2006, methodology): “The validity of PVA has come under intense scrutiny as a method for assessing extinction risk (Coulson et al. 2001; Ellner et al. 2002; Reed et al. 2002), but it remains a useful quantitative tool for setting recovery targets and exploring how different management scenarios affect extinction risk (B”
• Lynx reintroductions in fragmented landscapes of Germany : Projects with a future or misunderstood wildlife conservation? (2005, background): “Often, generic population viability analysis tools are too unspecific for this purpose (Possingham and Davies, 1995; Akcakaya, 1995) and specifically constructed models are required (Wiegand et al., 1998; Brook et al., 2000; Reed et al., 2002).”
• Assessing Risks to Wildlife Populations from Multiple Stressors: Overview of the Problem and Research Needs. (2006, background): “This is not to say that approaches to account for compensatory processes do not exist conceptually or mathematically (e.g., Burgman 2005), but rather that sophistication in their use is limited by the current understanding of when and how compensatory processes are important (Reed et al. 2002).”
• Estimates of minimum viable population sizes for vertebrates and factors influencing those estimates (2003, background): “Reed et al. (2002) suggest that PVA should never be used to estimate minimum viable population sizes.”