Entropy and diversity

By L. Jost. 2006

4,681 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Genetics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/d4f8564313d2495ce102985a985a913268aafc29

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology, Evolution, Behavior and Systematics

1. A. Chao
2. Francesco de Bello
3. Chun‐Huo Chiu
4. J. Emmett Duffy
5. Hanna Tuomisto
6. L. Jost
7. J. Lepš
8. Bruno Hérault

In Genetics

1. P. Meirmans
2. A. Chao
3. Chun‐Huo Chiu
4. Hanna Tuomisto
5. L. Jost
6. Robert K. Colwell
7. V. Arroyo‐Rodríguez
8. M. Tabarelli

In Nature and Landscape Conservation

1. A. Chao
2. Francesco de Bello
3. Chun‐Huo Chiu
4. Wilfried Thuiller
5. L. Jost
6. J. Lepš
7. J. Emmett Duffy
8. Robert K. Colwell

Citations in the corpus

• entropart : An R Package to Measure and Partition Diversity (2015, methodology): “Tsallis entropy, also known as HCDT entropy (Havrda and Charvát 1967; Daróczy 1970; Tsallis 1988), is of particular interest (Jost 2006; Marcon et al. 2014a) namely because it gathers the number of species, Shannon (1948) and Simpson (1949) indices of diversity into a single framework.”
• The decomposition of Shannon's entropy and a confidence interval for beta diversity (2012, background): “Transforming Shannon entropies into Hill numbers makes possible the derivation of the so-called ‘true diversity’ indices (Jost 2006, Tuomisto 2010), i.e. the number of equally-abundant elements needed to produce a given value of Shannon entropy.”
• Fidelity of variation in species composition and diversity partitioning by death assemblages: time-averaging transfers diversity from beta to alpha levels (2009, methodology): “We transform these components into ‘‘numbers equivalents’’ that correspond to the number of equally common elements (species or communities) necessary to produce the given value of the diversity index (MacArthur 1965; Hill 1973; Jost 2006).”
• A unified index to measure ecological diversity and species rarity (2008, background): “Hector 2000). As a solution, Jost (2006) proposed that comparisons between the diversity of different samples could be more effective by obtaining the diversity of each sample equivalent to a community composed of equallycommon species for each index.”
• Incomplete recovery and individualized responses of the human distal gut microbiota to repeated antibiotic perturbation (2010, background): “Within-subject (α) 1° diversity according to Jost (13) showed the same pattern (F, 644; D, 584; E, 502; P< 10−6), with an average of 577 effective refOTUs/subject (i.e., average diversity per subject was equivalent to a community with 577 equally common taxa).”
• Chronic anthropogenic disturbance causes homogenization of plant and ant communities in the Brazilian Caatinga (2016, methodology): “In addition to estimating overall abundance, we estimated diversity indices for three different diversity levels: species richness (or 0D), the exponential of Shannon entropy (or 1D) and the inverse Simpson concentration (or 2D) (Jost 2006).”
• D vs. GST: Response to Heller and Siegismund (2009) and Ryman and Leimar (2009) (2009, neutral): “Similar problems afflict the ecological equivalents of this measure (Jost 2006, 2007, 2009; Hardy & Jost 2008).”
• Effects of human‐modified landscapes on taxonomic, functional and phylogenetic dimensions of bat biodiversity (2015, background): “This transformation facilitates intuitive interpretation of differences among assemblages because indices are expressed in the same units (Jost, 2006).”
• The Relation between Evenness and Diversity (2010, background): “I have argued elsewhere [6,11-14] that the concept of diversity, especially in conservation applications, should be quantified by measures of compositional complexity that obey the “replication principle”.”
• Genetically Engineered Herbicide-Resistant Crops and Herbicide-Resistant Weed Evolution in the United States (2017, neutral): “Herbicide SOA diversity was then calculated from Shannon ’ s entropy (Jost 2006; MacArthur 1965) using Equation 3: Aguilar et al. (2015) used a similar approach to estimate crop species diversity trends in the United States.”
• Contrasting taxonomic and functional responses of a tropical tree community to selective logging (2012, neutral): “For comparison with the published literature, we also calculated Fisher’s alpha, the Gini-Simpson index, and the Hill number translation of the Shannon index (Jost 2006) (Table S2, Supporting Information).”
• A diversity of beta diversities: straightening up a concept gone awry. Part 1. Defining beta diversity as a function of alpha and gamma diversity (2010, methodology): “Hill (1973), Routledge (1979) and Jost (2006, 2007) made a strong case for quantifying diversity using qD rather than ql or any of its transformations other than ql1/(1 q).”
• Is Tree Species Diversity or Species Identity the More Important Driver of Soil Carbon Stocks, C/N Ratio, and pH? (2016, methodology): “We assessed diversity effects based on true Shannon diversity (Jost 2006) and net diversity effects (NDE) which were calculated from the basal area proportions of individual species.”
• Daily precipitation concentration around the world according to several indices (2016, methodology): “Some disciplines employ information entropy formulae such as the Theil Index (TI), derived from the Shannon Index (Cowell, 2000; Jost, 2006), and the Atkinson Index, or its related development of the Generalised Entropy Index (Atkinson, 1970; Ullah and Giles, 1998).”