The effect of sample size and species characteristics on performance of different species distribution modeling methods
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Summary
Maxent was the most capable of the four modeling methods in producing useful results with sample sizes as small as 5, 10 and 25 occurrences, a result that should encourage conservationists to add distribution modeling to their toolbox.
- Type
- article
- Published
- 2006-10-01
- Cited by
- 2,523
- References
- 49
- OpenAlex
- https://openalex.org/W2098827790
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:18471969
Keywords
Species distribution, Sample size determination, Rare species, Toolbox, Sample (material)
References
- Modeling species distribution with GIS
- BIOCLIM - a bioclimate analysis and prediction system
- Evaluating presence-absence models in ecology: the need to account for prevalence
- The effects of species’ range sizes on the accuracy of distribution models: ecological phenomenon or statistical artefact?
- An evaluation of methods for modelling species distributions
- Sensitivity of conservation planning to different approaches to using predicted species distribution data
- A Precious Heritage
- DOMAIN: a flexible modelling procedure for mapping potential distributions of plants and animals
- A maximum entropy approach to species distribution modeling
- Species' geographic ranges and distributional limits: pattern analysis and statistical issues
- Nature Conservation: Cost Effective Biological Surveys and Data Analysis
- Research techniques in animal ecology: controversies and consequences
- Assessment of alternative approaches for bioclimatic modeling with special emphasis on the Mahalanobis distance
- Effects of sample size on accuracy of species distribution models
- Rarity and Vulnerability: The Birds of the Cordillera Central of Colombia
- Selecting areas for species persistence using occurrence data
- Atlas of elapid snakes of Australia
- Avoiding Pitfalls of Using Species Distribution Models in Conservation Planning
- Evaluating the predictive performance of habitat models developed using logistic regression
- An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data
Cited by
- Using Environmental and Site-specific Variables to Model Current and Future Distribution of Red Spruce (Picea rubens Sarg.) Forest Habitat in West Virginia
- Spatial Ecology of the Giant Kangaroo Rat (Dipodomys ingens): A Test of Species Distribution Models as Ecological Revealers
- Population distribution models: species distributions are better modeled using biologically relevant data partitions
- Do Marmorkrebs, Procambarus fallax f. virginalis, threaten freshwater Japanese ecosystems?
- Gunnison sage-grouse lek site suitability modeling
- Using niche-modelling and species-specific cost analyses to determine a multispecies corridor in a fragmented landscape
- Prediction of the potential global distribution for Biomphalaria straminea, an intermediate host for Schistosoma mansoni
- Predicting the distribution of poorly-documented species, Northern black widow (Latrodectus variolus) and Black purse-web spider (Sphodros niger), using museum specimens and citizen science data
- Deciphering the drivers of negative species–genetic diversity correlation in Alpine amphibians
- A Multiscale Investigation of Snake Habitat Relationships and Snake Conservation in Illinois
- American chestnut (Castanea dentata) habitat modeling: identifying suitable sites for restoration in Shenandoah National Park, Virginia
- Trade in commonly used medicinal bulbs: value and ecological implications
- Overlap of predicted cold-water coral habitat and bottom-contact fisheries in British Columbia
- Human and climatic change impact modelling on the habitat suitability for the chimpanzee (Pan troglodytes ellioti) – Case study: The proposed Mount Cameroon National Park
- Conserving moving species under changing landscapes and climates
- Update to the zodariid spider fauna of the Iberian Peninsula and Madeira (Araneae: Zodariidae)
- Maximum Entropy Modeling for Photovoltaic Optimization: A Spatial Analysis of California
- Modelando ocorrência e abundância de espécies arbóreas no entorno de uma usina hidroelétrica no sul do Brasil
- Climate and vegetation change in the Newberry mountains, Southern Clark County, Nevada
- Quantifying error in vegetation mapping
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