Stochastic matrix models for conservation and management: A comparative review of methods

By J. Fieberg, Stephen P. Ellner. 2001

274 citations recorded by the source corpus.

Subfields: Ecology, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/e0b120dafd6124ec1540bd229e62f2151ef9c47a

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In Ecology

In Ecology, Evolution, Behavior and Systematics

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Citations in the corpus

Boom or bust? A comparative analysis of transient population dynamics in plants (2010, background): “…upon data availability (Vandermeer 1978; Moloney 1986) or are taxon-specific (e.g. Noon & Sauer 1992), whilst reviews ofmethods formodelling complex factors such as environmental stochasticity (Fieberg & Ellner 2001) or spatial heterogeneity (Day & Possingham 1995) reveal a diversity of approaches.”
Non‐target effects of broadleaf herbicide on a native perennial forb: a demographic framework for assessing and minimizing impacts (2009, background): “We note at the outset that high among-year variability means that it will take several more years of monitoring to quantitatively estimate stochastic population growth rates for this species (c.f., Fieberg and Ellner 2001; Morris and Doak 2002; Tuljapurkar, Horvitz & Pascarella 2003).”
How accurate are population models? Lessons from landscape-scale tests in a fragmented system (2002, background): “All models invariably simplify the systems they attempt to portray (Burgman et al. 1993; Fieberg & Ellner 2001), as their purpose is to create simple representations that still capture the important aspects of the dynamics of the real systems.”
Rainfall effects on rare annual plants (2008, background): “Forecasting species persistence in a changing climate thus requires understanding of how populations respond to climate variability and the mechanisms underlying this response (Fieberg & Ellner 2001; Meyer et al .”
Living on the Edge: Viability of Moose in Northeastern Minnesota (2010, methodology): “…uncertainty associated with the estimated vital rates in the 6 matrices but does not account for uncertainty in our characterization of future temporal dynamics (i.e., these 6 yr only provide an estimate of the distribution of matrices that might occur in future years; Fieberg and Ellner 2001).”
Interdependent effects of habitat quality and climate on population growth of an endangered plant (2011, background): “Linking vital rates and population viability to key environmental factors is also important because long-term management of species will inevitably be associated with the management of environmental factors (Fieberg & Ellner 2001; Gotelli & Ellison 2006; Sutherland 2006).”
POPULATION VIABILITY WITH FIRE IN ERYNGIUM CUNEIFOLIUM: DECIPHERING A DECADE OF DEMOGRAPHIC DATA (2004, background): “The result will be a less conservative risk assessment (Greenlee and Kaye 1997, Menges and Quintana-Ascencio 2003), especially for stochastic matrix projections, which are highly sensitive to changes in this correlation structure (Fieberg and Ellner 2001).”
A Long-Term Age-Specific Survival Analysis of Female White-Tailed Deer (2006, background): “Small uncertainties in demographic DelGiudice et al. A Long-Term Analysis of Deer Survival 1565 parameters translate into large uncertainties in population projections, making it difficult to reliably predict the true status of the population (Fieberg and Ellner 2000, 2001).”
The Allee effect, stochastic dynamics and the eradication of alien species (2003, background): “Both types of stochasticity can contribute to population extinction when populations are at very low densities (Lande 1993; Stephan & Wissel 1994; Lande et al. 1998; Fieberg & Ellner 2001).”
Demographic Sensitivity of Population Change in Northern Bobwhite (2008, methodology): “The parametric matrix method requires knowledge of probability distributions for each demographic parameter to bootstrap confidence intervals for matrix properties (Fieberg and Ellner 2001).”
Long-term demographic fluctuations in an orchid species driven by weather: implications for conservation planning (2006, methodology): “The number of individuals sampled should be large to ensure accurate estimation of transition sets, and the number of transition rates sampled should be large enough to characterize the environment and its effect on the vital rates ( Fieberg & Ellner 2001 ).”
Multicolony tracking reveals the winter distribution of a pelagic seabird on an ocean basin scale (2012, unknown): “In general, synchronization of mortality among population subsets (e.g. age classes or local populations) decreases population growth rate and increases the likelihood of extinction (Fieberg & Ellner, 2001).”