C. Ricotta

A new look at functional beta diversity

The paper decomposes beta diversity into three functional components to better understand community assembly processes using Alpine species data.

Functional and phylogenetic β diversities and their link with clustering/overdispersion and uniqueness/redundancy

This paper develops a new framework to partition functional and phylogenetic β diversity, showing how it differs from species β diversity and highlighting the role of clustering, overdispersion, redundancy, and uniqueness in community structure.

Identifying functionally distinctive and threatened species

The paper develops a framework to quantify functional distinctiveness and threat in species, applying it to mammals in Indian dry forests to highlight conservation priorities.

An updated framework to account for inter-individual variability when quantifying phenotypic variation

The paper introduces a new measure, the Phenotypic Dissimilarity Index (PhD), to better quantify phenotypic variation by accounting for within-population trait variability and provides an R function for its calculation.

On the relationships between rarity, uniqueness, distinctiveness, originality and functional/phylogenetic diversity

The paper develops a framework linking rarity, distinctiveness, and functional/phylogenetic diversity to improve conservation strategies by controlling the influence of species abundance and originality.

rasterdiv - an Information Theory tailored R package for measuring ecosystem heterogeneity from space: to the origin and back

The paper introduces an R package called rasterdiv for measuring ecosystem heterogeneity using remotely sensed data and demonstrates its application in revealing hidden heterogeneity patterns.

Towards a unifying framework for diversity and dissimilarity coefficients

The paper develops a unifying framework using generalized means to create a wide range of diversity and dissimilarity measures, including classical indices and Bray-Curtis family coefficients.

From zero to infinity: minimum to maximum diversity of the planet by spatio-parametric Rao's quadratic entropy

This paper generalizes Rao's quadratic entropy to create a parametric measure for satellite-based ecosystem diversity, integrating abundance and spectral distance.

Measuring diversity from space: a global view of the free and open source rasterdiv R package under a coding perspective

The paper introduces the rasterdiv R package for calculating diversity indices from remotely sensed data, emphasizing its role as a complementary tool to in-situ biodiversity measurements.