Taxon Categories and the Universal Species-Area Relationship
Abstract
A theory of macroecology based on the maximum information entropy (MaxEnt) inference procedure predicts that the log-log slope of the species-area relationship (SAR) at any spatial scale is a specified function of the ratio of abundance, N(A), to species richness, S(A), at that scale. The theory thus predicts, in generally good agreement with observation, that all SARs collapse onto a specified universal curve when local slope, z(A), is plotted against N(A)/S(A). A recent publication, however, argues that if it is assumed that patterns in macroecology are independent of the taxonomic choices that define assemblages of species, then this principle of "taxon invariance" precludes the MaxEnt-predicted universality of the SAR. By distinguishing two dimensions of the notion of taxon invariance, we show that while the MaxEnt-based theory predicts universality regardless of the taxonomic choices that define an assemblage of species, the biological characteristics of assemblages should under MaxEnt, and do in reality, influence the realism of the predictions.
Local Knowledge Graph (16 entities)
Related Works
Items connected by shared entities, co-authorship, citations, or semantic similarity.
Biodiversity scales from plots to biomes with a universal species-area curve
Integrating macroecological metrics and community taxonomic structure
An equation of state unifies diversity, productivity, abundance and biomass
Data from: Are leaf functional traits “invariant” with plant size, and what is “invariance” anyway?
Data from: Disentangling the relative importance of species occurrence, abundance and intraspecific variability in community assembly: a trait-based approach at the whole-plant level in Mediterranean forests
Data from: Size-related scaling of tree form and function in a mixed-age forest
Shrubland Ecosystem Genetics And Biodiversity: Proceedings
Resource Planning: A Method for Allocating Land Uses in Natural Areas
Species Endangerment Patterns in the United States
Cited By (18 times, 4 in Knowledge Hub)
Shifting macroecological patterns and static theory failure in a stressed alpine plant community
Metabolic Partitioning across Individuals in Ecological Communities
Inferring Regional-Scale Species Diversity from Small-Plot Censuses
Empirical tests of withinâ€and acrossâ€species energetics in a diverse plant community
References (9)
1 in Knowledge Hub, 8 external
