EcoMem: An R package for quantifying ecological memory

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http://hdl.handle.net/10138/331639

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Itter , M S , Vanhatalo , J & Finley , A O 2019 , ' EcoMem: An R package for quantifying ecological memory ' , Environmental Modelling & Software , vol. 119 , pp. 305-308 . https://doi.org/10.1016/j.envsoft.2019.06.004

Title: EcoMem: An R package for quantifying ecological memory
Author: Itter, Malcolm S.; Vanhatalo, Jarno; Finley, Andrew O.
Contributor organization: Environmental and Ecological Statistics Group
Research Centre for Ecological Change
Department of Mathematics and Statistics
Organismal and Evolutionary Biology Research Programme
Date: 2019-09
Language: eng
Number of pages: 4
Belongs to series: Environmental Modelling & Software
ISSN: 1364-8152
DOI: https://doi.org/10.1016/j.envsoft.2019.06.004
URI: http://hdl.handle.net/10138/331639
Abstract: 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.
Subject: Bayesian hierarchical model
Disturbance
EcoMem
Ecosystem resilience
R package
Time series
113 Computer and information sciences
1172 Environmental sciences
Peer reviewed: Yes
Rights: cc_by_nc_nd
Usage restriction: openAccess
Self-archived version: acceptedVersion


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