Food web models: a plea for groups.

Defining and measuring trophic role similarity in food webs using regular equivalence.

We present a graph theoretic model of analysing food web structure called regular equivalence. Regular equivalence is a method for partitioning the species in a food web into "isotrophic classes" that play the same structural roles, even if they are not directly consuming the same prey or if they do not share the same predators. We contrast regular equivalence models, in which two species are m...

The possibility of occurrence of the phenomenon “fishing down marine food webs” in the coastal waters of Hormozgan Province (north of the Persian Gulf and Oman Sea)

We examined the temporal trend in mean trophic level (mTL), trophic category landing (TrC) and landing profile (LP) of the exploited marine community (49 species) in the fishing zone of Hormozgan (north of Persian Gulf and Oman Sea) from 2001 to 2011. LP had an increasing trend (r = 0.88, P<0.001), whereas, mTL of the landings showed a significant decrease from 2001 to 2011 (r = -0.69, P<0.05)....

A Plea for Harm Reduction Policing Involving People Who Use Drugs

Casting your network wide: a plea to scale-up phenological research

Accumulating scientific evidence has demonstrated widespread shifts in the biological seasons. These shifts may modify seasonal interspecific interactions, with consequent impacts upon reproductive success and survival. However, current understanding of these impacts is based upon a limited number of studies that adopt a simplified 'bottom-up' food-chain paradigm, at a local scale. I argue that...

Similarity measurement for describe user images in social media

Online social networks like Instagram are places for communication. Also, these media produce rich metadata which are useful for further analysis in many fields including health and cognitive science. Many researchers are using these metadata like hashtags, images, etc. to detect patterns of user activities. However, there are several serious ambiguities like how much reliable are these informa...