Back

ATNr : Allometric trophic models in R

Gauzens, B.; Berti, E.; Delmas, E.; Brose, U.

2022-08-26 ecology
10.1101/2022.08.26.505404 bioRxiv
Show abstract

O_LIUnderstanding and predicting how densities of interacting species change over time has been one of the main goals of community ecology, which has become a pressing challenge in the context of global change. C_LIO_LIWe present the R package ATNr, which provides an implementation of different versions of Allometric Trophic Network models (Yodzis and Innes (1992)) that simulate the biomass dynamics of trophically interacting species. C_LIO_LIRelying on C++ routines, the ATNr proposes an efficient and standardized implementation of the different ATNs models. C_LIO_LIBy proposing a set of built in functions ready to use in a language widely used in the community of ecologists, the ATNr package offers an easy access to ATN models. C_LI

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.