A Framework to Quantify Adaptation to Multiple Drivers

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Quiroga, Emily, Blanz, Benjamin
Format: Preprint
Publié: 2025
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866929710107197440
author Quiroga, Emily
Blanz, Benjamin
author_facet Quiroga, Emily
Blanz, Benjamin
contents We develop an analytical framework to assess the adaptations in a coupled ecological-economic system and apply it to a bio-economic model. Our framework allows us to quantify the impact of multiple drivers on a coupled ecological-economic system, while distinguishing between adaptation and sensitivities to positive and negative exposures. This distinction allows us to differentiate between drivers that improve and decrease well-being. Our findings provide insight into how to focus resources to counteract negative or enhance positive impacts. We apply this framework to a bio-economic model calibrated to the North Sea flatfish fishery. We quantify the adaptations, sensitivities and total impact of fishers' profits to multiple drivers and identify among which of them fishers adapt the most. This work forms a bridge between the multidisciplinary area of adaptability and the bio-economic modelling domain,increasing the understanding and knowledge regarding the measure of adaptation.
format Preprint
id arxiv_https___arxiv_org_abs_2502_07463
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Framework to Quantify Adaptation to Multiple Drivers
Quiroga, Emily
Blanz, Benjamin
General Economics
Economics
We develop an analytical framework to assess the adaptations in a coupled ecological-economic system and apply it to a bio-economic model. Our framework allows us to quantify the impact of multiple drivers on a coupled ecological-economic system, while distinguishing between adaptation and sensitivities to positive and negative exposures. This distinction allows us to differentiate between drivers that improve and decrease well-being. Our findings provide insight into how to focus resources to counteract negative or enhance positive impacts. We apply this framework to a bio-economic model calibrated to the North Sea flatfish fishery. We quantify the adaptations, sensitivities and total impact of fishers' profits to multiple drivers and identify among which of them fishers adapt the most. This work forms a bridge between the multidisciplinary area of adaptability and the bio-economic modelling domain,increasing the understanding and knowledge regarding the measure of adaptation.
title A Framework to Quantify Adaptation to Multiple Drivers
topic General Economics
Economics
url https://arxiv.org/abs/2502.07463