The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Pest Risk Maps for Invasive Alien Species: A Roadmap for Improvement
Abstract
Pest risk maps are powerful visual communication tools to describe where invasive alien species might arrive, establish, spread, or cause harmful impacts. These maps inform strategic and tactical pest management decisions, such as potential restrictions on international trade or the design of pest surveys and domestic quarantines. Diverse methods are available to create pest risk maps, and can potentially yield different depictions of risk for the same species. Inherent uncertainties about the biology of the invader, future climate conditions, and species interactions further complicate map interpretation. If multiple maps are available, risk managers must choose how to incorporate the various representations of risk into their decisionmaking process, and may make significant errors if they misunderstand what each map portrays. This article describes the need for pest risk maps, compares pest risk mapping methods, and recommends future research to improve such important decision-support tools.
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
Cites
Novel methods improve prediction of species’ distributions from occurrence data
Elith*, J., H. Graham*, C., P. Anderson, R., Dudík, M., Ferrier, S., Guisan, A., J. Hijmans, R., Huettmann, F., R. Leathwick, J., Lehmann, A., et al. (2006) · Ecography · doi:10.1111/j.2006.0906-7590.04596.x · Cited by 9,088
Predictive habitat distribution models in ecology
Guisan, A., & Zimmermann, N. E. (2000) · Ecological Modelling · doi:10.1016/s0304-3800(00)00354-9 · Cited by 7,359
A review of methods for the assessment of prediction errors in conservation presence/absence models
FIELDING, A. H., & BELL, J. F. (1997) · Environmental Conservation · doi:10.1017/s0376892997000088 · Cited by 6,956
Hutchinson, G. E. (1957) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.1957.022.01.039 · Cited by 6,228
Ensemble forecasting of species distributions
ARAUJO, M., & NEW, M. (2007) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2006.09.010 · Cited by 3,640
AUC: A misleading measure of the performance of predictive distribution models
Lobo, J. M., Jiménez‐Valverde, A., & Real, R. (2008) · Global Ecology and Biogeography · doi:10.1111/j.1466-8238.2007.00358.x · Cited by 3,499
Bates, J. M., & Granger, C. W. J. (1969) · Journal of the Operational Research Society · doi:10.1057/jors.1969.103 · Cited by 3,201
The distribution and abundance of animals
Andrewartha, H. G., & Birch, L. C. (1974) · Medical Entomology and Zoology · Cited by 2,774
Poleward shifts in geographical ranges of butterfly species associated with regional warming
Parmesan, C., Ryrholm, N., Stefanescu, C., Hill, J. K., Thomas, C. D., Descimon, H., Huntley, B., Kaila, L., Kullberg, J., Tammaru, T., et al. (1999) · Nature · doi:10.1038/21181 · Cited by 2,274
The Distribution and Abundance of Animals
Cook, W. C. (1956) · Annals of the Entomological Society of America · doi:10.1093/aesa/49.2.190 · Cited by 1,821
Cited by
Modelling the impacts of pests and diseases on agricultural systems
Donatelli, M., Magarey, R. D., Bregaglio, S., Willocquet, L., Whish, J. P. M., & Savary, S. (2017) · Agricultural Systems · doi:10.1016/j.agsy.2017.01.019 · Cited by 426
Self-citationShabani, F., Kumar, L., & Ahmadi, M. (2016) · Ecology and Evolution · doi:10.1002/ece3.2332 · Cited by 319
Predicting Distributions of Invasive Species
Elith, J. (2017) · Invasive Species · doi:10.1017/9781139019606.006 · Cited by 106
Metadata
- Authors
- Venette, R. C., Kriticos, D. J., Magarey, R. D., Koch, F. H., Baker, R. H. A., Worner, S. P., Gómez Raboteaux, N. N., McKenney, D. W., Dobesberger, E. J., Yemshanov, D., De Barro, P. J., Hutchison, W. D., Fowler, G., Kalaris, T. M., & Pedlar, J.
- Venue
- BioScience
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-05
- Volume
- 60
- Issue
- 5
- Pages
- 349-362
- ISSN
- 0006-3568 (ISSN-L)
- 1525-3244
- OpenAlex
- W2096903868
- Cited by
- 334
- References
- 47
- FWCI
- 20.44
- Type
- journal article
- Language
- en
- Open access
- closed
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: Pest Risk Maps for Invasive Alien Species: A Roadmap for Improvement. https://app.cochat.ai/papers/10.1525/bio.2010.60.5.5
- The paper
- Venette, R. C., Kriticos, D. J., Magarey, R. D., Koch, F. H., Baker, R. H. A., Worner, S. P., Gómez Raboteaux, N. N., McKenney, D. W., Dobesberger, E. J., Yemshanov, D., De Barro, P. J., Hutchison, W. D., Fowler, G., Kalaris, T. M., & Pedlar, J. (2010). Pest Risk Maps for Invasive Alien Species: A Roadmap for Improvement. BioScience. https://doi.org/10.1525/bio.2010.60.5.5
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.