Drastic reduction of nutrient loading to a reservoir alters its resistance to impacts of extreme climatic events

Elias Munthali; Lisette N. De Senerpont Domis; Rafael Marcé

doi:10.1088/1748-9326/ac7df2

Drastic reduction of nutrient loading to a reservoir alters its resistance to impacts of extreme climatic events

Elias Munthali^* (Corresponding author), Lisette N. De Senerpont Domis, Rafael Marcé

^*Corresponding author for this work

Research output: Contribution to journal/periodical › Article › Scientific › peer-review

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Abstract

By perturbing ecosystems, extreme climatic events (ECEs) can impair ecosystems' resistance and resilience to other pressures, leading to cascading effects on the continued provision of their ecosystem services. In aquatic ecology, most of the studies linking impacts of perturbations on ecosystems are based on controlled experiments and modeling, rather than real-world data. Using a 55 year dataset of hydrometeorological and reservoir water quality variables from the Ter catchment in Spain, we fill this gap by applying non-linear dynamics and extreme value theory concepts to test whether trophic state modulates reservoir ecosystem's response to ECEs. We show that both Granger causality between hydrometeorological and water quality variables and effects of ECEs on reservoir water quality diminish after drastic reduction in nutrient loading, supporting our hypothesis that the ecosystem's trophic state modulates its resistance to ECEs. Thus, by safeguarding reservoirs from nutrient pollution, water resources managers can ameliorate impacts of ECEs on ecosystem health.

Original language	English
Article number	084007
Journal	Environmental Research Letters
Volume	17
Issue number	8
DOIs	https://doi.org/10.1088/1748-9326/ac7df2
Publication status	Published - 01 Aug 2022

Keywords

causality-in-quantiles
drought
eutrophication
hydrometeorological variables
resilience

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Munthali et al 2022Final published version, 1.24 MBLicence: CC BY

Cite this

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title = "Drastic reduction of nutrient loading to a reservoir alters its resistance to impacts of extreme climatic events",

abstract = "By perturbing ecosystems, extreme climatic events (ECEs) can impair ecosystems' resistance and resilience to other pressures, leading to cascading effects on the continued provision of their ecosystem services. In aquatic ecology, most of the studies linking impacts of perturbations on ecosystems are based on controlled experiments and modeling, rather than real-world data. Using a 55 year dataset of hydrometeorological and reservoir water quality variables from the Ter catchment in Spain, we fill this gap by applying non-linear dynamics and extreme value theory concepts to test whether trophic state modulates reservoir ecosystem's response to ECEs. We show that both Granger causality between hydrometeorological and water quality variables and effects of ECEs on reservoir water quality diminish after drastic reduction in nutrient loading, supporting our hypothesis that the ecosystem's trophic state modulates its resistance to ECEs. Thus, by safeguarding reservoirs from nutrient pollution, water resources managers can ameliorate impacts of ECEs on ecosystem health.",

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author = "Elias Munthali and {De Senerpont Domis}, {Lisette N.} and Rafael Marc{\'e}",

note = "Data archiving: on request",

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T1 - Drastic reduction of nutrient loading to a reservoir alters its resistance to impacts of extreme climatic events

AU - Munthali, Elias

AU - De Senerpont Domis, Lisette N.

AU - Marcé, Rafael

N1 - Data archiving: on request

PY - 2022/8/1

Y1 - 2022/8/1

N2 - By perturbing ecosystems, extreme climatic events (ECEs) can impair ecosystems' resistance and resilience to other pressures, leading to cascading effects on the continued provision of their ecosystem services. In aquatic ecology, most of the studies linking impacts of perturbations on ecosystems are based on controlled experiments and modeling, rather than real-world data. Using a 55 year dataset of hydrometeorological and reservoir water quality variables from the Ter catchment in Spain, we fill this gap by applying non-linear dynamics and extreme value theory concepts to test whether trophic state modulates reservoir ecosystem's response to ECEs. We show that both Granger causality between hydrometeorological and water quality variables and effects of ECEs on reservoir water quality diminish after drastic reduction in nutrient loading, supporting our hypothesis that the ecosystem's trophic state modulates its resistance to ECEs. Thus, by safeguarding reservoirs from nutrient pollution, water resources managers can ameliorate impacts of ECEs on ecosystem health.

AB - By perturbing ecosystems, extreme climatic events (ECEs) can impair ecosystems' resistance and resilience to other pressures, leading to cascading effects on the continued provision of their ecosystem services. In aquatic ecology, most of the studies linking impacts of perturbations on ecosystems are based on controlled experiments and modeling, rather than real-world data. Using a 55 year dataset of hydrometeorological and reservoir water quality variables from the Ter catchment in Spain, we fill this gap by applying non-linear dynamics and extreme value theory concepts to test whether trophic state modulates reservoir ecosystem's response to ECEs. We show that both Granger causality between hydrometeorological and water quality variables and effects of ECEs on reservoir water quality diminish after drastic reduction in nutrient loading, supporting our hypothesis that the ecosystem's trophic state modulates its resistance to ECEs. Thus, by safeguarding reservoirs from nutrient pollution, water resources managers can ameliorate impacts of ECEs on ecosystem health.

KW - causality-in-quantiles

KW - drought

KW - eutrophication

KW - hydrometeorological variables

KW - resilience

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DO - 10.1088/1748-9326/ac7df2

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VL - 17

JO - Environmental Research Letters

JF - Environmental Research Letters

IS - 8

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ER -

Drastic reduction of nutrient loading to a reservoir alters its resistance to impacts of extreme climatic events

Abstract

Keywords

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