POPULATION DYNAMICS ACROSS GEOGRAPHICAL RANGES: TIME‐SERIES ANALYSES OF THREE SMALL GAME SPECIES

By C. Williams, Anthony R. Ives, R. Applegate. 2003

175 citations recorded by the source corpus.

Subfields: Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/d17aa08d71e3956a7accd6ff9c8f4144363d622e

How researchers see this paper

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

In Ecology

1. Gareth William Peters
2. Y. Ueda
3. T. Yokosuka
4. Kohji Yamamura
5. R. Applegate
6. William E. Jensen
7. Motoki Nishimori
8. C. Williams

In Nature and Landscape Conservation

1. Gareth William Peters
2. Y. Ueda
3. T. Yokosuka
4. Kohji Yamamura
5. R. Applegate
6. William E. Jensen
7. Motoki Nishimori
8. C. Williams

Citations in the corpus

• Demographic Sensitivity of Population Change in Northern Bobwhite (2008, methodology): “Exposure to harvest may also increase natural mortality if bobwhites incur greater predation risk after disturbance by hunters or during movements from small to larger coveys (Curtis et al. 1988, Robinette and Doerr 1993, Williams et al. 2003b).”
• Ecological non-linear state space model selection via adaptive particle Markov chain Monte Carlo (AdPMCMC) (2010, background): “Studies that do incorporate process error and observation noise into ecological inference sometimes use very special cases of linear state and observation equations [Lindley, 2003, Williams et al., 2003, Linden and Knape, 2009].”
• How to analyze long-term insect population dynamics under climate change: 50-year data of three insect pests in paddy fields (2005, methodology): “State-space modelling has been used recently in ecological literature when analyzing population dynamics (Zeng et al. 1998; deValpine and Hastings 2002; Calder et al. 2003; Williams et al. 2003; Clark and Bjørnstad.”