M. Marcantonio

The rasterdiv package for measuring diversityfrom space

The rasterdiv package calculates diversity indices from numerical matrices, including remote sensing data, to analyze spatial heterogeneity and ecosystem complexity.

Oviposition-related behaviours of Limenitis camilla in a common garden experiment

This study examines oviposition-related behaviors of Limenitis camilla butterflies in fragmented habitats, finding differences in flight investment between populations from fragmented and homogenous woodlands.

dynamAedes: a unified modelling framework for invasive Aedes mosquitoes

The paper develops a multi-scale stochastic model for invasive Aedes mosquitoes, integrating physiological and environmental factors to predict population dynamics and support management strategies.

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.

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.

Assessing the re-introduction of Aedes aegypti in Europe. Will the Yellow Fever Mosquito colonize the Old World?

This study models the potential establishment of Aedes aegypti in European ports, finding that southern ports like Algeciras and Barcelona are more suitable than northern ones, with climate change potentially increasing suitability in the future.