The power of expert opinion in ecological models using Bayesian methods: impact of grazing on birds

By Tara G. Martin, Petra M. Kuhnert, Kerrie L. Mengersen, Hugh P. Possingham. 2005

251 citations recorded by the source corpus.

Subfields: Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/eff388791c483c4e080387d7cf53036e3d535cd4

How researchers see this paper

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

In Ecology

In Nature and Landscape Conservation

Citations in the corpus

The causes of decline of birds of eucalypt woodlands: advances in our knowledge over the last 10 years (2011, background): “Although the negative impact of heavy grazing on most ground-foraging and nesting birds has been assumed, there is growing evidence that moderate or periodic grazing may be preferable to no grazing in disturbed sites that are dominated by exotic weeds and grasses (Martin et al. 2005).”
Extinction debt or habitat change? - Ongoing losses of woodland birds in north-eastern New South Wales, Australia (2009, background): “Martin and Possingham (2005) found highest densities under moderate rather than high or no grazing, which is also what ‘‘experts” predicted (Martin et al., 2005).”
The nature and role of experiential knowledge for environmental conservation (2006, background): “In some instances expert knowledge can be articulated quantitatively and integrated with other quantitative scientific information to provide a cost effective way of making more confident predictions (see discussions in Taper & Lele 2004; Martin et al. 2005).”
Eliciting Expert Knowledge in Conservation Science (2012, methodology): “Martin et al. (2005) and Kuhnert et al. (2005) investigated the effect of different intensities of livestock grazing on Australian woodland birds with a Bayesian GLM that was built with information from 20 ecologists.”
Information needs for assessing critical habitat of freshwater fish (2006, background): “When it is necessary to make management decisions prior to filling key information gaps, established rules from the literature, information from similar species, or expert opinion may provide useful guidance (Randall et al. 2003; Martin et al. 2005).”
WinBUGS for population ecologists: bayesian modeling using markov chain Monte Carlo methods (2009, background): “…and Bardos 2006), imperfect detection (Royle and Dorazio 2006), heterogeneity in the detection process (Durban and Elston 2005), excess of zeros (Martin et al. 2005b; Ghosh et al. 2006), observer effects (Thogmartin et al. 2004), detecting trends (Link and Sauer 2002) and missing data (Lens et…”