Wu Naicheng, Guo Kun, Zou Yi, He Fengzhi, Riis Tenna
Department of Geography and Spatial Information Techniques Ningbo University Ningbo China.
School of Ecological and Environmental Sciences East China Normal University Shanghai China.
Ecol Evol. 2023 Mar 12;13(3):e9882. doi: 10.1002/ece3.9882. eCollection 2023 Mar.
Environmental regimes (or environmental legacy or historical legacy) are the dynamics of environmental 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 absent by using only contemporary variables. We present SER, an R package for estimating environmental regimes for different environmental variables. Using the data included in the package, several examples are shown. SER is suitable for any type of environmental or biotic variables, including nutrient concentration, light, and dissolved oxygen. In addition, by changing the argument "days_bf," it is possible to compute environmental regimes over any time period, such as days, months, or years. Our case study showed that the inclusion of environmental regimes increased the explained variation of temporal β-diversity and its components. Environmental regimes are expected to advance the "environment-community" relationships in ecological studies. They can further be implemented in other subjects such as social science, socioeconomics, and epidemiology.
环境模式（或环境遗产或历史遗产）是指在给定的（长或短）时间段内环境特征的动态变化，例如平均或极端事件的频率以及变化速率，仅使用当代变量可能无法体现这些特征。我们展示了SER，这是一个用于估计不同环境变量的环境模式的R包。使用该包中包含的数据，展示了几个示例。SER适用于任何类型的环境或生物变量，包括营养浓度、光照和溶解氧。此外，通过更改参数“days_bf”，可以计算任何时间段（如天、月或年）的环境模式。我们的案例研究表明，纳入环境模式增加了时间β多样性及其组成部分的解释变异。环境模式有望推动生态研究中的“环境 - 群落”关系。它们还可以进一步应用于其他学科，如社会科学、社会经济学和流行病学。
