Data‐driven counterfactual evaluation of management outcomes to improve emergency conservation decisions

Data‐driven counterfactual evaluation of management outcomes to improve emergency conservation decisions

Abstract Monitoring is needed to assess conservation success and improve management, but naïve or simplistic interpretation of monitoring data can lead to poor decisions. We illustrate how to counter this risk by combining decision‐support tools and quantitative counterfactual analysis. We analyzed...

Full description

Bibliographic Details
Main Authors: Thalassa McMurdo Hamilton, John G. Ewen, Antony J. Beauchamp, Troy Makan, Marcus Rowcliffe, Stefano Canessa
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Conservation Letters
Subjects:
confusion matrix
decision making
decision tree
endangered species
hindsight bias
impact evaluation
Online Access:https://doi.org/10.1111/conl.12925

Internet

https://doi.org/10.1111/conl.12925

Similar Items