Quantifying resilience of socio-ecological systems through dynamic Bayesian networks

Research output: Contribution to journal › Article (Academic Journal) › peer-review

26 Citations (Scopus)

Original language	English
Pages (from-to)	218
Number of pages	234
Journal	Frontiers in Forests and Global Change
Volume	5
Early online date	20 Oct 2022
DOIs	https://doi.org/10.3389/ffgc.2022.889274
Publication status	Published - 2022

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@article{767f4558d620499091cd0577c6ef3016,

title = "Quantifying resilience of socio-ecological systems through dynamic Bayesian networks",

author = "Naomi Millner and Felipe Franco-Gaviria and Dunia Urrego and Amador-Jimenez, \{Monica Y\}",

year = "2022",

doi = "10.3389/ffgc.2022.889274",

language = "English",

volume = "5",

pages = "218",

journal = "Frontiers in Forests and Global Change",

issn = "2624-893X",

publisher = "Frontiers Media S.A.",

}

TY - JOUR

T1 - Quantifying resilience of socio-ecological systems through dynamic Bayesian networks

AU - Millner, Naomi

AU - Franco-Gaviria, Felipe

AU - Urrego, Dunia

AU - Amador-Jimenez, Monica Y

PY - 2022

Y1 - 2022

U2 - 10.3389/ffgc.2022.889274

DO - 10.3389/ffgc.2022.889274

M3 - Article (Academic Journal)

SN - 2624-893X

VL - 5

SP - 218

JO - Frontiers in Forests and Global Change

JF - Frontiers in Forests and Global Change

ER -