Life Stage Simulation Analysis: Estimating Vital-Rate Effects on Population Growth for Conservation

By M. Wisdom, L. S. Mills, D. Doak. 2000

334 citations recorded by the source corpus.

Subfields: Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/807cc7b252affb7107e06b7b359e92ca59a50094

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In Ecology

In Nature and Landscape Conservation

Citations in the corpus

Managing wolves (Canis lupus) to recover threatened woodland caribou (Rangifer tarandus caribou) in Alberta (2014, background): “Adult female survival may have high theoretical sensitivity, but because of evolutionary canalization, low practical ability for managers to affect change in this key vital rate (Wisdom et al. 2000).”
RELATING SIZE OF JUVENILES TO SURVIVAL WITHIN AND AMONG POPULATIONS OF CHINOOK SALMON (2004, background): “These analyses commonly recommend how improvements in a particular age- or stage-specific survival rate will lead to increased population growth rate and hence enhanced population viability (Lande 1988, Crowder et al. 1994, Doak et al. 1994, Kareiva et al. 2000, Wisdom et al. 2000).”
NITROGEN DEPOSITION AND EXTINCTION RISK IN THE NORTHERN PITCHER PLANT, SARRACENIA PURPUREA (2002, methodology): “We tested the statistical significance of variation in r among treatments with a form of life-stage simulation analysis (Wisdom et al. 2000).”
Lifetime reproductive success in common buzzard, Buteo buteo: from individual variation to population demography (2001, methodology): “This is a common pattern in longlived iteroparous organisms (Crouse et al. 1987, Wisdom and Mills 1997, Ehrlén and van Groenendael 1998, Heppell et al. 2000, Sæther and Bakke 2000).”
From local monitoring to a broad-scale viability assessment: a case study for the Bonelli’s Eagle in western Europe (2013, methodology): “For adult fertility, we obtained estimates of the environmental variance to be taken into account in the models by applying White’s method based on the code proposed by Morris and Doak (2002), which allows the observation error due to sampling variation to be discounted (White 2000).”
Emerging Issues in Population Viability Analysis (2002, background): “Vital rates that have a large absolute or proportional effect on population growth rate, but that naturally vary little, will not alter population trajectories under management (Gaillard et al. 1998; Mills et al. 1999; Wisdom et al. 2000).”
Demographic Sensitivity of Population Change in Northern Bobwhite (2008, methodology): “We used LSA to examine contributions of the 9 demographic parameters to simulated variation in k (Wisdom et al. 2000).”
White‐tailed deer population dynamics and adult female survival in the presence of a novel predator (2015, background): “Demographic analyses, including sensitivity analyses of matrix population models, provide valuable insight into which vital rates have the greatest influence on population growth, are most variable, and should be targeted by managers (Wisdom et al. 2000, Reed et al. 2002,Mills 2007).”
Using Logistic Regression to Analyze the Sensitivity of PVA Models: a Comparison of Methods Based on African Wild Dog Models (2001, background): “Wisdom and Mills (1997) and Wisdom et al. (2000) suggest the use of lifestage simulation analysis (LSA) to explore how sensitivity relates to the entire range of variability in a vital rate.”
Decomposing the variation in population growth into contributions from multiple demographic rates (2005, background): “Part of the reason could be that few demographic studies report demographic rate covariation (Wisdom et al. 2000).”