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Reservoir water quality deterioration due to deforestation emphasizes the indirect effects of global change

  • Deforestation is currently a widespread phenomenon and a growing environmental concern in the era of rapid climate change. In temperate regions, it is challenging to quantify the impacts of deforestation on the catchment dynamics and downstream aquatic ecosystems such as reservoirs and disentangle these from direct climate change impacts, let alone project future changes to inform management. Here, we tackled this issue by investigating a unique catchment-reservoir system with two reservoirs in distinct trophic states (meso- and eutrophic), both of which drain into the largest drinking water reservoir in Germany. Due to the prolonged droughts in 2015-2018, the catchment of the mesotrophic reservoir lost an unprecedented area of forest (exponential increase since 2015 and ca. 17.1% loss in 2020 alone). We coupled catchment nutrient exports (HYPE) and reservoir ecosystem dynamics (GOTM-WET) models using a process-based modeling approach. The coupled model was validated with datasets spanning periods of rapid deforestation, whichDeforestation is currently a widespread phenomenon and a growing environmental concern in the era of rapid climate change. In temperate regions, it is challenging to quantify the impacts of deforestation on the catchment dynamics and downstream aquatic ecosystems such as reservoirs and disentangle these from direct climate change impacts, let alone project future changes to inform management. Here, we tackled this issue by investigating a unique catchment-reservoir system with two reservoirs in distinct trophic states (meso- and eutrophic), both of which drain into the largest drinking water reservoir in Germany. Due to the prolonged droughts in 2015-2018, the catchment of the mesotrophic reservoir lost an unprecedented area of forest (exponential increase since 2015 and ca. 17.1% loss in 2020 alone). We coupled catchment nutrient exports (HYPE) and reservoir ecosystem dynamics (GOTM-WET) models using a process-based modeling approach. The coupled model was validated with datasets spanning periods of rapid deforestation, which makes our future projections highly robust. Results show that in a short-term time scale (by 2035), increasing nutrient flux from the catchment due to vast deforestation (80% loss) can turn the mesotrophic reservoir into a eutrophic state as its counterpart. Our results emphasize the more prominent impacts of deforestation than the direct impact of climate warming in impairment of water quality and ecological services to downstream aquatic ecosystems. Therefore, we propose to evaluate the impact of climate change on temperate reservoirs by incorporating a time scale-dependent context, highlighting the indirect impact of deforestation in the short-term scale. In the long-term scale (e.g. to 2100), a guiding hypothesis for future research may be that indirect effects (e.g., as mediated by catchment dynamics) are as important as the direct effects of climate warming on aquatic ecosystems.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Xiangzhen KongORCiD, Salman Ghaffar, Maria DetermannORCiD, Kurt FrieseORCiD, Seifeddine Jomaa, Chenxi MiGND, Tom ShatwellORCiDGND, Karsten RinkeORCiDGND, Michael RodeORCiDGND
DOI:https://doi.org/10.1016/j.watres.2022.118721
ISSN:0043-1354
ISSN:1879-2448
Pubmed ID:https://pubmed.ncbi.nlm.nih.gov/35717709
Titel des übergeordneten Werks (Englisch):Water research : a journal of the International Association on Water Quality (IAWQ)
Verlag:Elsevier Science
Verlagsort:Amsterdam [u.a.]
Publikationstyp:Wissenschaftlicher Artikel
Sprache:Englisch
Datum der Erstveröffentlichung:07.06.2022
Erscheinungsjahr:2022
Datum der Freischaltung:30.05.2024
Freies Schlagwort / Tag:climate change; deforestation; eutrophication; process-based modeling; reservoir; temperate regions
Band:221
Aufsatznummer:118721
Seitenanzahl:12
Fördernde Institution:TERENO - German Federal Ministry of Education and Research (BMBF);; European Union [956623]; National Key Research and Development Program; of China [2019YFA0607100]; National Natural Science Foundation of China; [42177062, 42107060]; PhD college DY-NAMO from UFZ
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Umweltwissenschaften und Geographie
DDC-Klassifikation:5 Naturwissenschaften und Mathematik / 50 Naturwissenschaften / 500 Naturwissenschaften und Mathematik
Peer Review:Referiert
Publikationsweg:Open Access / Hybrid Open-Access
Lizenz (Deutsch):License LogoCC-BY - Namensnennung 4.0 International
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