Quantitative conservation biology : theory and practice of population viability analysis

By W. Morris, D. Doak. 2002

1,373 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/8ac5feb1c49b66c0582785405e3927109564f753

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Citations in the corpus

• From local monitoring to a broad-scale viability assessment: a case study for the Bonelli’s Eagle in western Europe (2013, methodology): “More than other viability metrics, this measure may be a better indicator of possible future problems than an extinction probability if the short-term risk of extinction is low (Morris and Doak 2002).”
• Managing Multiple Vital Rates To Maximize Greater Sage Grouse Population Growth (2012, methodology): “We described mean clutch sizes with stretched beta distributions because they can be bounded by values other than 0 and 1 (Morris and Doak 2002).”
• Bomb radiocarbon dating calibrates beluga (Delphinapterus leucas) age estimates (2006, methodology): “For example, management tools such as potential biological removal (Wade 1998) and population viability analysis (Morris and Doak 2002) rely on age-specific fecundity and survival rates to calculate safe harvest levels.”
• Response of non-native lake trout (Salvelinus namaycush) to 15 years of harvest in Yellowstone Lake, Yellowstone National Park (2011, methodology): “Age-specific selectivity and fecundity values were log-normally distributed and generated from stretched beta distributions, which had tails restricted to specified minimum and maximum values (Morris and Doak 2002).”
• THE EFFECTS OF HERBIVORY AND POLLEN LIMITATION ON A DECLINING POPULATION OF TRILLIUM GRANDIFLORUM (2004, background): “…they are meant to simulate how small changes in a vital rate would affect the population growth rate, and may be misleading to managers striving to make large changes in the growth rate of a declining population (Mills et al. 1999, de Kroon et al. 2000, Bessinger 2002, Morris and Doak 2002).”
• The compadre Plant Matrix Database: an open online repository for plant demography (2015, methodology): “Users are welcome to explore these or other more developed open-source libraries (Stubben & Milligan 2007; Stott, Hodgson & Town-ley 2012; Metcalf et al. 2013) and to carry out their own calculations based on compendia of methods for analysis of MPMs (e.g., Caswell 2001, 2009; Morris & Doak 2002).”
• Managing wolves (Canis lupus) to recover threatened woodland caribou (Rangifer tarandus caribou) in Alberta (2014, methodology): “…overall differences in population growth rates between populations and treatments, because was itself composed of recruitment and adult survival (Morris and Doak 2002), we used Monte Carlo randomization tests based on the geometric means of both vital rates (survival and recruitment) and their…”
• Ecology of Species Living on Dead Wood - Lessons for Dead Wood Management (2005, methodology): “This strongly suggests that the metapopulation tool box (Hanski 1999, Morris and Doak 2002) should be applied in order to conduct population viability analysis.”
• AMPHIBIAN UPLAND HABITAT USE AND ITS CONSEQUENCES FOR POPULATION VIABILITY (2005, methodology): “We explored the behavior of the model across a range of realistic parameter values and conducted an elasticity analysis to determine which parameters had the greatest incremental influence on the probability of quasi-extinction (Morris and Doak 2002).”
• Citizen science monitoring demonstrates dramatic declines of monarch butterflies in western North America (2017, unknown): “We approximated extinction risk using diffusion approximation (Dennis et al., 1991) and code modified from Morris and Doak (2002) in the popbio package in R (Stubben and Milligan, 2007) to calculate quasi-extinction risk, i.e., the probability a population reaches a threshold below which it is…”
• Bird demographic responses to predator removal programs (2010, unknown): “We chose a 20-year time interval because it is most relevant from a management perspective and allowed us to overlook density-dependent processes associated with long-term projections for most species (Morris and Doak 2002).”
• Density dependence and population regulation in marine fish: a large‐scale, long‐term field manipulation (2012, background): “Population regulation and its underlying densitydependent mechanisms are key concepts in both conservation biology, in terms of management preventing extinctions (Morris and Doak 2002), and fisheries biology, in terms of sustaining catches (Walters and Martell 2004).”
• Information needs for assessing critical habitat of freshwater fish (2006, methodology): “If sufficient data exist to parameterize a population model that incorporates temporal variability in demographic and environmental conditions, then a formal population viability analysis (PVA; Morris and Doak 2002) can be performed to establish a minimum recovery target.”