The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Habitat suitability modelling and niche theory
Open accessAbstract
1 The concept of the ecological niche relates a set of environmental variables to the fitness of species, while habitat suitability models (HSMs) relate environmental variables to the likelihood of occurrence of the species. In spite of this relationship, the concepts are weakly linked in the literature, and there is a strong need for better integration. 2 We selectively reviewed the literature for habitat suitability studies that directly addressed four common facets of niche theory: niche characteristics, niche interactions, community-wide processes and niche evolution. 3 We found that HSMs have mostly contributed to the study of niche characteristics, but the three other themes are gaining impetus. We discuss three issues that emerge from these studies: (i) commonly used environmental variables and their link with ecological niches; (ii) the causes of false absences and false presences in species data, and associated issues; (iii) the three axes of model generalization (interpolation and extrapolation): environmental, spatial and temporal. Finally, we propose a list of 12 recommendations to strengthen the use of HSMs for wildlife management. 4 Synthesis and applications. This selective review provides conservation biologists with a list of pointers to key niche-theory concepts and a wide palette of related HSM studies. It also brings together frameworks that are often separated: theoretical and applied ecology studies; botany, zoology and parasitology; and different HSM frameworks, such as Resource Selection Functions, Species Distribution Modelling, Ecological Niche Modelling, and Gradient Analysis. We hope that integration of all these slices of knowledge will improve the quality and reliability of HSM predictions.
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
Hutchinson, G. E. (1957) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.1957.022.01.039 · Cited by 6,228
Pearson, R. G., & Dawson, T. P. (2003) · Global Ecology and Biogeography · doi:10.1046/j.1466-822x.2003.00042.x · Cited by 4,252
Hebblewhite, M., Merrill, E. H., & McDonald, T. L. (2005) · Oikos · doi:10.1111/j.0030-1299.2005.13858.x · Cited by 342
COMPETITIVE INTERACTIONS BETWEEN TREE SPECIES IN NEW ZEALAND'S OLD-GROWTH INDIGENOUS FORESTS
Leathwick, J. R., & Austin, M. P. (2001) · Ecology · doi:10.1890/0012-9658(2001)082[2560:cibtsi]2.0.co;2 · Cited by 243
Cited by
A statistical explanation of MaxEnt for ecologists
Elith, J., Phillips, S. J., Hastie, T., Dudík, M., Chee, Y. E., & Yates, C. J. (2011) · Diversity and Distributions · doi:10.1111/j.1472-4642.2010.00725.x · Cited by 6,699
Hutchinson's duality: The once and future niche
Colwell, R. K., & Rangel, T. F. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0901650106 · Cited by 769
The uncertain nature of absences and their importance in species distribution modelling
Lobo, J. M., Jiménez‐Valverde, A., & Hortal, J. (2010) · Ecography · doi:10.1111/j.1600-0587.2009.06039.x · Cited by 656
Predicting Distributions of Invasive Species
Elith, J. (2017) · Invasive Species · doi:10.1017/9781139019606.006 · Cited by 106
A multi-species approach for assessing the impact of land-cover changes on landscape connectivity
Sahraoui, Y., Foltête, J.-C., & Clauzel, C. (2017) · Landscape Ecology · doi:10.1007/s10980-017-0551-6 · Cited by 98
Metadata
- Authors
- Hirzel, A. H., & Le Lay, G.
- Venue
- Journal of Applied Ecology
- Publisher
- Wiley
- Published
- 2008-08-29
- Volume
- 45
- Issue
- 5
- Pages
- 1372-1381
- ISSN
- 0021-8901 (ISSN-L)
- 1365-2664
- OpenAlex
- W2163912218
- Cited by
- 873
- References
- 4
- FWCI
- 15.05
- Type
- journal article
- Language
- en
- Open access
- bronze
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
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.