2016
DOI: 10.1111/2041-210x.12548
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Plant‐O‐Matic: a dynamic and mobile guide to all plants of the Americas

Abstract: Summary1 Advances in both informatics and mobile technology are providing exciting new opportunities for generating, disseminating, and engaging with information in the biological sciences at unprecedented spatial scales, particularly in disentangling information on the distributions and natural history of hyperdiverse groups of organisms. 2 We describe an application serving as a mobile catalog of all of the plants of the Americas developed using species distribution models estimated from field observations o… Show more

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Cited by 16 publications
(11 citation statements)
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“…More details on range size estimation can be found in Goldsmith et al . (). The land area of the Americas was then divided into 100 × 100 km grid cells and the species assemblage of each grid cell was defined as all species with ranges falling within the cell.…”
Section: Methodsmentioning
confidence: 97%
“…More details on range size estimation can be found in Goldsmith et al . (). The land area of the Americas was then divided into 100 × 100 km grid cells and the species assemblage of each grid cell was defined as all species with ranges falling within the cell.…”
Section: Methodsmentioning
confidence: 97%
“…Species with 3-4 records had their ranges defined as convex hulls. Ranges for species with >5 records were modelled using the MAXENT species distribution modelling algorithm with a balanced set of climate predictors and spatial eigenvectors (Phillips, Anderson, & Schapire, 2006; see Goldsmith et al, 2016, for details on the range maps methodology).…”
Section: Species Distribution Datamentioning
confidence: 99%
“…To reduce the effects of sampling bias characteristic of occurrence datasets compiled from multiple resources, we used the BIEN 2.0 range maps for 88,417 of plant species distributed in North and South America (Goldsmith et al, 2016). The BIEN database integrates standardized plant observations stemming from herbarium specimens and vegetation plot inventories.…”
Section: Distribution Data and Biome Classificationmentioning
confidence: 99%
“…The geographic ranges for species with three or four occurrences were identified using a convex hull (c. 15% of the species). Finally, the range maps for species with at least five occurrences were obtained using the Maxent species distribution modeling algorithm, using 19 climatic layers as predictor variables and 19 spatial eigenvectors as filters to constrain over predictions by the models (see Goldsmith et al, 2016 for further details on range map methodology).…”
Section: Distribution Data and Biome Classificationmentioning
confidence: 99%