Quantifying the transient shock response of dynamic agroecosystem variables for improved socio-environmental resilience

In classic resilience thinking, there is an implicit focus on controlling functional variation to maintain system stability. Modern approaches to resilience thinking deal with complex, adaptive system dynamics and true uncertainty; these contemporary frameworks involve the process of learning to liv...

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Autores principales:	Jordan M. Carper, Mohammad Reza Alizadeh, Jan F. Adamowski, Azhar Inam, Julien J. Malard
Formato:	article
Lenguaje:	EN
Publicado:	Resilience Alliance 2021
Materias:	coupled modeling metrics quantification resilience assessment social-ecological systems socio-environmental systems tinamit Biology (General) QH301-705.5 Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/6d45cd7d284d498f9d6ecc0ab2e7a85c
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spelling	oai:doaj.org-article:6d45cd7d284d498f9d6ecc0ab2e7a85c2021-11-15T16:40:18ZQuantifying the transient shock response of dynamic agroecosystem variables for improved socio-environmental resilience1708-308710.5751/ES-12354-260217https://doaj.org/article/6d45cd7d284d498f9d6ecc0ab2e7a85c2021-06-01T00:00:00Zhttps://www.ecologyandsociety.org/vol26/iss2/art17/https://doaj.org/toc/1708-3087In classic resilience thinking, there is an implicit focus on controlling functional variation to maintain system stability. Modern approaches to resilience thinking deal with complex, adaptive system dynamics and true uncertainty; these contemporary frameworks involve the process of learning to live with change and make use of the consequences of transformation and development. In a socio-environmental context, the identification of metrics by which resilience can be effectively and reliably measured is fundamental to understanding the unique vulnerabilities that characterize coupled human and natural systems. We developed an innovative procedure for stakeholder-friendly quantification of socio-environmental resilience metrics. These metrics were calculated and analyzed through the application of discrete disturbance simulations, which were produced using a dynamically coupled, biophysical-socioeconomic modeling framework. Following the development of a unique shock-response assessment regime, five metrics (time to baseline-level recovery, rate of return to baseline, degree of return to baseline, overall post-disturbance perturbation, and corrective impact of disturbance) describing distinct aspects of systemic resilience were quantified for three agroecosystem variables (farm income, water-table depth, and crop revenue) over a period of 30 years (1989-2019) in the Rechna Doab basin of northeastern Pakistan. Using this procedure, we determined that farm income is the least resilient variable of the three tested. Farm income was easily diverted from the "normal" functional paradigm for the Rechna Doab socio-environmental system, regardless of shock type, intensity, or duration combination. Crop revenue was the least stable variable (i.e., outputs fluctuated significantly between very high and very low values). Water-table depth was consistently the most robust and resistant to change, even under physical shock conditions. The procedure developed here should improve the ease with which stakeholders are able to conduct quantitative resilience analyses.Jordan M. CarperMohammad Reza AlizadehJan F. AdamowskiAzhar InamJulien J. MalardResilience Alliancearticlecoupled modelingmetricsquantificationresilience assessmentsocial-ecological systemssocio-environmental systemstinamitBiology (General)QH301-705.5EcologyQH540-549.5ENEcology and Society, Vol 26, Iss 2, p 17 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	coupled modeling metrics quantification resilience assessment social-ecological systems socio-environmental systems tinamit Biology (General) QH301-705.5 Ecology QH540-549.5
spellingShingle	coupled modeling metrics quantification resilience assessment social-ecological systems socio-environmental systems tinamit Biology (General) QH301-705.5 Ecology QH540-549.5 Jordan M. Carper Mohammad Reza Alizadeh Jan F. Adamowski Azhar Inam Julien J. Malard Quantifying the transient shock response of dynamic agroecosystem variables for improved socio-environmental resilience
description	In classic resilience thinking, there is an implicit focus on controlling functional variation to maintain system stability. Modern approaches to resilience thinking deal with complex, adaptive system dynamics and true uncertainty; these contemporary frameworks involve the process of learning to live with change and make use of the consequences of transformation and development. In a socio-environmental context, the identification of metrics by which resilience can be effectively and reliably measured is fundamental to understanding the unique vulnerabilities that characterize coupled human and natural systems. We developed an innovative procedure for stakeholder-friendly quantification of socio-environmental resilience metrics. These metrics were calculated and analyzed through the application of discrete disturbance simulations, which were produced using a dynamically coupled, biophysical-socioeconomic modeling framework. Following the development of a unique shock-response assessment regime, five metrics (time to baseline-level recovery, rate of return to baseline, degree of return to baseline, overall post-disturbance perturbation, and corrective impact of disturbance) describing distinct aspects of systemic resilience were quantified for three agroecosystem variables (farm income, water-table depth, and crop revenue) over a period of 30 years (1989-2019) in the Rechna Doab basin of northeastern Pakistan. Using this procedure, we determined that farm income is the least resilient variable of the three tested. Farm income was easily diverted from the "normal" functional paradigm for the Rechna Doab socio-environmental system, regardless of shock type, intensity, or duration combination. Crop revenue was the least stable variable (i.e., outputs fluctuated significantly between very high and very low values). Water-table depth was consistently the most robust and resistant to change, even under physical shock conditions. The procedure developed here should improve the ease with which stakeholders are able to conduct quantitative resilience analyses.
format	article
author	Jordan M. Carper Mohammad Reza Alizadeh Jan F. Adamowski Azhar Inam Julien J. Malard
author_facet	Jordan M. Carper Mohammad Reza Alizadeh Jan F. Adamowski Azhar Inam Julien J. Malard
author_sort	Jordan M. Carper
title	Quantifying the transient shock response of dynamic agroecosystem variables for improved socio-environmental resilience
title_short	Quantifying the transient shock response of dynamic agroecosystem variables for improved socio-environmental resilience
title_full	Quantifying the transient shock response of dynamic agroecosystem variables for improved socio-environmental resilience
title_fullStr	Quantifying the transient shock response of dynamic agroecosystem variables for improved socio-environmental resilience
title_full_unstemmed	Quantifying the transient shock response of dynamic agroecosystem variables for improved socio-environmental resilience
title_sort	quantifying the transient shock response of dynamic agroecosystem variables for improved socio-environmental resilience
publisher	Resilience Alliance
publishDate	2021
url	https://doaj.org/article/6d45cd7d284d498f9d6ecc0ab2e7a85c
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Quantifying the transient shock response of dynamic agroecosystem variables for improved socio-environmental resilience

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