Back

SER: an R package to compute environmental regime over a certain time period

Wu, N.; Guo, K.; Zou, Y.; He, F.; Riis, T.

2022-03-21 ecology
10.1101/2022.03.19.485011 bioRxiv
Show abstract

O_LIEnvironmental regime (or environmental legacy or historical legacy) is the environmental dynamic characteristics over a given (either long or short) time period, such as frequency of mean or extreme events and rate of change, which might be masked by using only contemporary variables. C_LIO_LIWe present SER, an R package for estimating environmental regimes for different environmental variables. Using the data included in the package, several examples are shown. C_LIO_LISER is suitable for any types of environmental variables e.g., nutrient concentration, light, dissolved oxygen. In addition, by changing the argument "days_bf", it is possible to compute environmental regimes in any interested time period, such as days, months or years. C_LIO_LIOur case study showed that inclusion of environmental regimes dramatically increased the explained variation of temporal {beta}-diversity and its components. Environmental regimes, particularly in a given time period, are expected to advance the "environment - community" relationships in ecological studies. In addition, they can be implemented in other subjects, e.g., social science, socioeconomics, epidemiology, with important applied implications. C_LI

Matching journals

The top 7 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.