Empirical characterization factors to be used in LCA and assessing the effects of hydropower on fish richness

Hydropower is often presented as a clean, reliable, and renewable energy source, but is also recognized for its potential impacts on aquatic ecosystem biodiversity. We used direct empirical data of change in fish species richness following impoundment to develop ecological indicators to be used in L...

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Autores principales:	Katrine Turgeon, Gabrielle Trottier, Christian Turpin, Cécile Bulle, Manuele Margni
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Life cycle assessment Hydroelectricity Biodiversity Fish Richness Biomes Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/6848341fe7dc44e68482ca24e68cdd4c
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spelling	oai:doaj.org-article:6848341fe7dc44e68482ca24e68cdd4c2021-12-01T04:33:25ZEmpirical characterization factors to be used in LCA and assessing the effects of hydropower on fish richness1470-160X10.1016/j.ecolind.2020.107047https://doaj.org/article/6848341fe7dc44e68482ca24e68cdd4c2021-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20309869https://doaj.org/toc/1470-160XHydropower is often presented as a clean, reliable, and renewable energy source, but is also recognized for its potential impacts on aquatic ecosystem biodiversity. We used direct empirical data of change in fish species richness following impoundment to develop ecological indicators to be used in Life Cycle Assessment (LCA), and accounting for hydropower impacts on aquatic ecosystems. Data were collected on 89 sampling stations (63 stations located upstream, and 26 located downstream of a dam) distributed in 26 reservoirs from three biomes (boreal, temperate and tropical). Overall, the impact of hydropower on fish species richness was significant in the tropics, of smaller amplitude in temperate biome and minimal in boreal biome, stressing the need for regionalisation when developing indicators. The impact of hydropower was consistent across scales for a given biome (same directionality and statistical significance across sampling stations and reservoirs). However, the indicators were sensitive to the duration of the study (the period over which data have been collected after impoundment), which can underestimate the impacts. This result highlights the need to account for the duration of the transient dynamics to reach a steady state (rate of change in species richness = 0) before developing ecological indicators. By using the LCA approach, our suggested indicators contribute to fill a major gap in assisting decision-makers when evaluating the potential of alternative energy technologies, such as hydropower, to decarbonize the worldwide economy, while minimizing the impacts on aquatic ecosystems.Katrine TurgeonGabrielle TrottierChristian TurpinCécile BulleManuele MargniElsevierarticleLife cycle assessmentHydroelectricityBiodiversityFishRichnessBiomesEcologyQH540-549.5ENEcological Indicators, Vol 121, Iss , Pp 107047- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Life cycle assessment Hydroelectricity Biodiversity Fish Richness Biomes Ecology QH540-549.5
spellingShingle	Life cycle assessment Hydroelectricity Biodiversity Fish Richness Biomes Ecology QH540-549.5 Katrine Turgeon Gabrielle Trottier Christian Turpin Cécile Bulle Manuele Margni Empirical characterization factors to be used in LCA and assessing the effects of hydropower on fish richness
description	Hydropower is often presented as a clean, reliable, and renewable energy source, but is also recognized for its potential impacts on aquatic ecosystem biodiversity. We used direct empirical data of change in fish species richness following impoundment to develop ecological indicators to be used in Life Cycle Assessment (LCA), and accounting for hydropower impacts on aquatic ecosystems. Data were collected on 89 sampling stations (63 stations located upstream, and 26 located downstream of a dam) distributed in 26 reservoirs from three biomes (boreal, temperate and tropical). Overall, the impact of hydropower on fish species richness was significant in the tropics, of smaller amplitude in temperate biome and minimal in boreal biome, stressing the need for regionalisation when developing indicators. The impact of hydropower was consistent across scales for a given biome (same directionality and statistical significance across sampling stations and reservoirs). However, the indicators were sensitive to the duration of the study (the period over which data have been collected after impoundment), which can underestimate the impacts. This result highlights the need to account for the duration of the transient dynamics to reach a steady state (rate of change in species richness = 0) before developing ecological indicators. By using the LCA approach, our suggested indicators contribute to fill a major gap in assisting decision-makers when evaluating the potential of alternative energy technologies, such as hydropower, to decarbonize the worldwide economy, while minimizing the impacts on aquatic ecosystems.
format	article
author	Katrine Turgeon Gabrielle Trottier Christian Turpin Cécile Bulle Manuele Margni
author_facet	Katrine Turgeon Gabrielle Trottier Christian Turpin Cécile Bulle Manuele Margni
author_sort	Katrine Turgeon
title	Empirical characterization factors to be used in LCA and assessing the effects of hydropower on fish richness
title_short	Empirical characterization factors to be used in LCA and assessing the effects of hydropower on fish richness
title_full	Empirical characterization factors to be used in LCA and assessing the effects of hydropower on fish richness
title_fullStr	Empirical characterization factors to be used in LCA and assessing the effects of hydropower on fish richness
title_full_unstemmed	Empirical characterization factors to be used in LCA and assessing the effects of hydropower on fish richness
title_sort	empirical characterization factors to be used in lca and assessing the effects of hydropower on fish richness
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/6848341fe7dc44e68482ca24e68cdd4c
work_keys_str_mv	AT katrineturgeon empiricalcharacterizationfactorstobeusedinlcaandassessingtheeffectsofhydropoweronfishrichness AT gabrielletrottier empiricalcharacterizationfactorstobeusedinlcaandassessingtheeffectsofhydropoweronfishrichness AT christianturpin empiricalcharacterizationfactorstobeusedinlcaandassessingtheeffectsofhydropoweronfishrichness AT cecilebulle empiricalcharacterizationfactorstobeusedinlcaandassessingtheeffectsofhydropoweronfishrichness AT manuelemargni empiricalcharacterizationfactorstobeusedinlcaandassessingtheeffectsofhydropoweronfishrichness
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Empirical characterization factors to be used in LCA and assessing the effects of hydropower on fish richness

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