https://www.socictopen.socict.org/files/original/10a9f11c56c191ef314f48de8159d103.pdf 3bafc772dff5e48aaf0bb8c7e0734089 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Potential Global-Local Inconsistency in Species-Area Relationships Fitting Creator An entity primarily responsible for making the resource Xubin Pan, Xiuling Zhang, Feng WANG, Shuifang Zhu Description An account of the resource The Species-Area Relationship (SAR) has been widely employed to assess species diversity and predict species extinction. Thus far, although many functions were proposed to fit SAR based on field observations or simulation results, the shape of SAR curve has been debated extensively over decades. Here we uncover a potential global-local inconsistency in SARs fitting simulation blocked by the limitation of large area sampling before. The results indicated that power and logarithm SAR formulas were good for the fitting if the sampling area range is small which is also the practical sampling interval in the field. However, for the logarithm SAR fitting, a sigmoid curve occurred in the log10 Area - Number of Species plane, and for the power SAR fitting, the curve is convex instead of a straight line as assumed when linear regression was applied. In conclusion, neither the power SAR nor the logarithm SAR fitted to simulated data is linear at large sampling range as commonly assumed in previous studies, no matter the distribution of species abundance is log-normal or negative-binomial, which unmasks the global-local inconsistency in Species-Area Relationships fitting. Thus misestimates of total number of species or other derivation parameters can occur if the fitted relationship is extrapolated beyond the range of the small and intermediate sampling size. Date A point or period of time associated with an event in the lifecycle of the resource 2016 Subject The topic of the resource Log-Normal distribution, extrapolation, negative binomial distribution, species abundance distribution, power SAR, logarithm SAR Identifier An unambiguous reference to the resource within a given context DOI: 10.3389/fpls.2016.01282 Source A related resource from which the described resource is derived Frontiers in Plant Science Publisher An entity responsible for making the resource available Frontiers Media S.A. Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Plant culture Language A language of the resource EN