4.7 Article

EcoMem: An R package for quantifying ecological memory

期刊

ENVIRONMENTAL MODELLING & SOFTWARE
卷 119, 期 -, 页码 305-308

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2019.06.004

关键词

Bayesian hierarchical model; Disturbance; EcoMem; Ecosystem resilience; R package; Time series

资金

  1. Jane and Astos Erkko Foundation
  2. National Science Foundation [EF-1137309, EF-1241874, EF-1253225]

向作者/读者索取更多资源

Ecological processes may exhibit memory to past disturbances affecting the resilience of ecosystems to future disturbance. Understanding the role of ecological memory in shaping ecosystem responses to disturbance under global change is a critical step toward developing effective adaptive management strategies to maintain ecosystem function and biodiversity. We developed EcoMem, an R package for quantifying ecological memory functions using common environmental time series data (continuous, count, proportional) applying a Bayesian hierarchical framework. The package estimates memory functions for continuous and binary (e.g., disturbance chronology) variables making no a priori assumption on the form of the functions. EcoMem allows users to quantify ecological memory for a wide range of ecosystem processes and responses. The utility of the package to advance understanding of the memory of ecosystems to environmental drivers is demonstrated using a simulated dataset and a case study assessing the memory of boreal tree growth to insect defoliation.

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