The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Using Bayesian belief networks to evaluate fish and wildlife population viability under land management alternatives from an environmental impact statement
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Citations
Cites
(1988) · Cited by 16,582
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
Heckerman, D., Geiger, D., & Chickering, D. M. (1995) · Machine Learning · doi:10.1023/a:1022623210503 · Cited by 3,231
Introduction to Bayesian Networks
(2019) · Operational Risk Modelling in Financial Services · doi:10.1002/9781119508557.ch12 · Cited by 2,569
Uncertainty in Artificial Intelligence
(1992) · Elsevier eBooks · doi:10.1016/c2013-0-12606-2 · Cited by 1,425
Boyce, M. S. (1992) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.es.23.110192.002405 · Cited by 1,242
Expert Systems and Probabilistic Network Models
Castillo, E., Gutiérrez, J. M., & Hadi, A. S. (1997) · Monographs in Computer Science · doi:10.1007/978-1-4612-2270-5 · Cited by 757
Metapopulation Dynamics: Empirical and Theoretical Investigations
(1991) · Elsevier eBooks · doi:10.1016/b978-0-12-284120-0.x5001-3 · Cited by 756
Bayesian Analysis in Expert Systems
Spiegelhalter, D. J., Dawid, A. P., Lauritzen, S. L., & Cowell, R. G. (1993) · Statistical Science · doi:10.1214/ss/1177010888 · Cited by 684
An introduction to Bayesian inference for ecological research and environmental decision-making
Ellison, A. M. (1996) · Ecological Applications · doi:10.2307/2269588 · Cited by 482
Bayesian Statistics: Principles, Models, and Applications.
Fearn, T., & Press, S. J. (1990) · Biometrics · doi:10.2307/2531460 · Cited by 350
Cited by
Advantages and challenges of Bayesian networks in environmental modelling
Uusitalo, L. (2007) · Ecological Modelling · doi:10.1016/j.ecolmodel.2006.11.033 · Cited by 1,118
An overview of methods to evaluate uncertainty of deterministic models in decision support
Uusitalo, L., Lehikoinen, A., Helle, I., & Myrberg, K. (2015) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2014.09.017 · Cited by 538
The Role of Expert Opinion in Environmental Modelling
Krueger, T., Page, T., Hubacek, K., Smith, L., & Hiscock, K. (2012) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2012.01.011 · Cited by 413
A Bayesian Belief Network to assess rate of changes in coral reef ecosystems
Franco, C., Hepburn, L. A., Smith, D. J., Nimrod, S., & Tucker, A. (2016) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2016.02.029 · Cited by 25
Metadata
- Authors
- Marcot, B. G., Holthausen, R. S., Raphael, M. G., Rowland, M. M., & Wisdom, M. J.
- Venue
- Forest Ecology and Management
- Publisher
- Elsevier BV
- Published
- 2001-10
- Volume
- 153
- Issue
- 1-3
- Pages
- 29-42
- ISSN
- 0378-1127 (ISSN-L)
- OpenAlex
- W2047575372
- Cited by
- 417
- References
- 25
- FWCI
- 9.06
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
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- This page
- CoChat. (2026). Citation check: Using Bayesian belief networks to evaluate fish and wildlife population viability under land management alternatives from an environmental impact statement. https://app.cochat.ai/papers/10.1016/s0378-1127(01)00452-2
- The paper
- Marcot, B. G., Holthausen, R. S., Raphael, M. G., Rowland, M. M., & Wisdom, M. J. (2001). Using Bayesian belief networks to evaluate fish and wildlife population viability under land management alternatives from an environmental impact statement. Forest Ecology and Management. https://doi.org/10.1016/s0378-1127(01)00452-2
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.
