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The practical value of modelling relative abundance of species for regional conservation planning: a case study
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“Negative binomial modelling of animal abundance has been successfully developed in previous studies in the context of conservation biology, with high predictive power for some species (Acevedo et al., 2014;Pearce & Ferrier, 2001;Pradhan & Leung, 2006).”
From Bigfoot: If it's there, could it be a bear? (2024) · cites this paper as Pearce & Ferrier, 2001
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Citations
Cites
Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
Lambert, D. (1992) · Technometrics · doi:10.2307/1269547 · Cited by 3,988
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Cited by
Bigfoot: If it's there, could it be a bear?
Foxon, F. (2024) · Journal of Zoology · doi:10.1111/jzo.13148 · Cited by 2
Metadata
- Authors
- Pearce, J., & Ferrier, S.
- Venue
- Biological Conservation
- Publisher
- Elsevier BV
- Published
- 2001-03
- Volume
- 98
- Issue
- 1
- Pages
- 33-43
- ISSN
- 0006-3207
- Cited by
- 165
- References
- 1
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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- Pearce, J., & Ferrier, S. (2001). The practical value of modelling relative abundance of species for regional conservation planning: a case study. Biological Conservation. https://doi.org/10.1016/s0006-3207(00)00139-7
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.