MODELING COUNT DATA OF RARE SPECIES: SOME STATISTICAL ISSUES

By R. Cunningham, David B. Lindenmayer. 2005

245 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Genetics

View Paper: https://www.semanticscholar.org/paper/6bcfe9b97e94f60b5c5ebda9d36ba04728940cc8

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Citations in the corpus

Spatial fisheries ecology: Recent progress and future prospects (2008, background): “Cunningham and Lindenmayer (2005) reviewed current analytical approaches to model zero-inflated counts in ecological data.”
Association of predators and prey at frontal features in the California Current: competition, facilitation, and co-occurrence (2009, unknown): “To address this problem, we chose to analyze these data in 2 stages, similar theoretically to the 2-step modeling approach advocated by Dobbie & Welsh (2001) and Cunningham & Lindenmayer (2005).”
Community structure and differential responses of aquatic turtles to agriculturally induced habitat fragmentation (2006, background): “The ability to effectively establish statistical relationships for rare species is difficult, but the error becomes evident when occupancy falls below 5% (Cunningham and Lindenmayer 2005).”
How to make a common species rare: A case against conservation complacency (2011, background): “There is now a large literature on the topic, including the various kinds of rarity that exist in nature (Cunningham and Lindenmayer, 2005; Gaston, 1994; Rabinowitz, 1981; Rabinowitz et al., 1986).”
How does plant richness affect pollinator richness and temporal stability of flower visits (2008, methodology): “We instead applied a so-called zero-inflated Poisson model (Lambert 1992, Cunningham and Lindenmayer 2005) to describe pollinator species richness and the frequency of pollinator visits.”
The excess-zero problem in soil animal count data and choice of appropriate models for statistical inference (2008, methodology): “Recently, two-part conditional models have been used for handling zero-inflated data (Cunningham and Lindenmayer, 2005).”
CHANGING THE GAP DYNAMICS PARADIGM: VEGETATIVE REGENERATION CONTROL ON FOREST RESPONSE TO DISTURBANCE (2008, unknown): “½1 e k : When combined with the previous analysis on sprout initiation, this can be viewed as a two-part Poisson mixture model of overall abundance (LaDeau and Clark 2001, Clark et al. 2004, Cunningham and Lindenmayer 2005).”