本頁只刊出中文翻譯與中文說明；英文原文請見下方原文連結。
原文連結
論文資訊
- 類型：已發表論文
- 日期：2021-03-06
摘要
The Maximum 熵 Theory of 生態學 (METE) predicts the shapes of macroecological metrics in relatively static ecosystems, across spatial scales, taxonomic categories and habitats, using constraints imposed by static state variables. In disturbed ecosystems, however, with time-varying state variables, its predictions often fail. We extend macroecological theory from static to dynamic by combining the MaxEnt inference procedure with explicit mechanisms governing dist城市ce. In the static limit, the resulting theory, DynaMETE, reduces to METE but also predicts a new 縮放律 relationship among static state variables. Under dist城市ces, expressed as shifts in demographic, ontogenic growth or migration rates, DynaMETE predicts the time trajectories of the state variables as well as the time-varying shapes of m
※ 此為已發表論文，全文需透過期刊付費取得