The DOI matches its Crossref record.
ROBUST DECISION‐MAKING UNDER SEVERE UNCERTAINTY FOR CONSERVATION MANAGEMENT
Open accessAbstract
In conservation biology it is necessary to make management decisions for endangered and threatened species under severe uncertainty. Failure to acknowledge and treat uncertainty can lead to poor decisions. To illustrate the importance of considering uncertainty, we reanalyze a decision problem for the Sumatran rhino, Dicerorhinus sumatrensis , using information‐gap theory to propagate uncertainties and to rank management options. Rather than requiring information about the extent of parameter uncertainty at the outset, information‐gap theory addresses the question of how much uncertainty can be tolerated before our decision would change. It assesses the robustness of decisions in the face of severe uncertainty. We show that different management decisions may result when uncertainty in utilities and probabilities are considered in decision‐making problems. We highlight the importance of a full assessment of uncertainty in conservation management decisions to avoid, as much as possible, undesirable outcomes.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Predicting species distributions for conservation decisions
Guisan, A., Tingley, R., Baumgartner, J. B., Naujokaitis‐Lewis, I., Sutcliffe, P. R., Tulloch, A. I. T., Regan, T. J., Brotons, L., McDonald‐Madden, E., Mantyka‐Pringle, C., et al. (2013) · Ecology Letters · doi:10.1111/ele.12189 · Cited by 2,068
Natural capital and ecosystem services informing decisions: From promise to practice
Guerry, A. D., Polasky, S., Lubchenco, J., Chaplin-Kramer, R., Daily, G. C., Griffin, R., Ruckelshaus, M., Bateman, I. J., Duraiappah, A., Elmqvist, T., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1503751112 · Cited by 1,017
Decision-making under great uncertainty: environmental management in an era of global change
Polasky, S., Carpenter, S. R., Folke, C., & Keeler, B. (2011) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2011.04.007 · Cited by 560
Incorporating uncertainty in predictive species distribution modelling
Beale, C. M., & Lennon, J. J. (2012) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2011.0178 · Cited by 320
Conservation implications of historic sea turtle nesting beach loss
McClenachan, L., Jackson, J. B., & Newman, M. J. (2006) · Frontiers in Ecology and the Environment · doi:10.1890/1540-9295(2006)4[290:ciohst]2.0.co;2 · Cited by 258
Metadata
- Authors
- Regan, H. M., Ben-Haim, Y., Langford, B., Wilson, W. G., Lundberg, P., Andelman, S. J., & Burgman, M. A.
- Venue
- Ecological Applications
- Publisher
- Wiley
- Published
- 2005-08
- Volume
- 15
- Issue
- 4
- Pages
- 1471-1477
- ISSN
- 1051-0761 (ISSN-L)
- 1939-5582
- OpenAlex
- W2154002209
- Cited by
- 408
- References
- 0
- FWCI
- 15.31
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: ROBUST DECISION‐MAKING UNDER SEVERE UNCERTAINTY FOR CONSERVATION MANAGEMENT. https://app.cochat.ai/papers/10.1890/03-5419
- The paper
- Regan, H. M., Ben-Haim, Y., Langford, B., Wilson, W. G., Lundberg, P., Andelman, S. J., & Burgman, M. A. (2005). ROBUST DECISION‐MAKING UNDER SEVERE UNCERTAINTY FOR CONSERVATION MANAGEMENT. Ecological Applications. https://doi.org/10.1890/03-5419
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.