Publicaciones

Phenology of species, the coupling of vital activities to specific times of the year, plays a main role in ecosystem functioning and is expected to be affected by global change. We analysed the temporal structure of 52 amphibian communities in South America encompassing a latitudinal range from 7º to 34º south. Phenological modularity – species tendencies to aggregate along the months – is here introduced as a ubiquitous property of biodiversity architecture. Further, we identified an increase in phenological modularity with species richness, available energy and in communities with lower thermal dependence (i.e. the rate of change in the number of species active along the year associated with the environmental temperature). These patterns are in agreement with predictions derived from several ecological hypotheses: complexity-stability, species-energy and metabolic ecology. 

This article addresses evidence of violence imbedded in both soft and hard tissues from early populations of hunters, fishermen, and gatherers, known as the Chinchorro culture, who lived between 10,000 and 4,000 cal yr BP, along the coast of the Atacama Desert, one of the driest environments on Earth. Our study is aimed to test two hypotheses 

This article addresses evidence of violence imbedded in both soft and hard tissues from early populations of hunters, fishermen, and gatherers, known as the Chinchorro culture, who lived between 10,000 and 4,000 cal yr BP, along the coast of the Atacama Desert, one of the driest environments on Earth. Our study is aimed to test two hypotheses 

The characterisation and quantication of ecological interactions, and the construction of species distributions and their associated ecological niches, is of fundamental theoretical and practical importance. In this paper we give an overview of a Bayesian inference framework, developed over the last 10 years, which, using spatial data, offers a general formalism within which ecological interactions may be characterised and quantied. Interactions are identied through deviations of the spatial distribution of co-occurrences of spatial variables relative to a benchmark for the non-interacting system, and based on a statistical ensemble of spatial cells.

Ecosystems functioning is based on an intricate web of interactions among living entities. Most of these interactions are difficult to observe, especially when the diversity of interacting entities is large and they are of small size and abundance. To sidestep this limitation, it has become common to infer the network structure of ecosystems from time series of species abundance, but it is not clear how well can networks be reconstructed, especially in the presence of stochasticity that propagates through ecological networks.