Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1007/s10933-020-00165-7
Volltext Shareable Link
Titel (primär) Lake restoration time of Lake Taibai (China): a case study based on paleolimnology and ecosystem modeling
Autor Qin, B.; Kong, X.; Wang, R.; Zhao, Y.; Yang, X.
Quelle Journal of Paleolimnology
Erscheinungsjahr 2022
Department SEEFO
Band/Volume 68
Heft 1
Seite von 25
Seite bis 38
Sprache englisch
Topic T5 Future Landscapes
Supplements https://static-content.springer.com/esm/art%3A10.1007%2Fs10933-020-00165-7/MediaObjects/10933_2020_165_MOESM1_ESM.docx
https://static-content.springer.com/esm/art%3A10.1007%2Fs10933-020-00165-7/MediaObjects/10933_2020_165_MOESM2_ESM.docx
Keywords Lake eutrophication; Paleolimnology; PCLake; Climate change; Regime shift; Lake Taibai
Abstract Reducing excessive external nutrient loading is in principle the first adaptive management against eutrophication, whereas little is known about the recovery time of such intervention, especially in the context of global warming. Here, we use an ensemble approach of paleolimnological records and modeling PCLake to evaluate the recovery time of Lake Taibai, China under diverse combinations of nutrient reduction and climate change scenarios. The model was calibrated for seven sensitive parameters and further validated using the total phosphorus (TP) concentrations in sediment cores reconstructed using a diatom-TP transfer function. The paleolimnological records show that species indicative of eutrophic conditions and the diatom-inferred TP (DI-TP) were low before the 1980s and slightly increased thereafter. The calibrated model not only captures the dynamics of TP concentrations but also performs well in identifying the regime shift between the 2 alternative stable states of the lake: macrophyte-dominated (clear) and algae-dominated (turbid) states. The scenarios results suggest that lake restoration (from turbid to clear state) would take 10–20 years with an annual nutrient loading (both N and P) reduction rate of 15–25% from 2019. Meanwhile, global warming would impede the effectiveness of nutrient reduction by not only increasing the restoration time but also decreasing the vegetation restoration level (as indicated by vegetation dry weight in lake water) and critical nutrient loading for re-oligotrophication. Our results imply that in the long run, nutrient loading reduction measurement for sustainable lake restoration should be adjusted following temperature changes. The present study highlights the feasibility and relevance of a novel methodology using paleolimnological records for model calibration and projections. The modeling approach presented here may provide a better understanding and critical implications of the long-term dynamics and future restoration of Lake Taibai and other similar shallow lake ecosystems.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=24107
Qin, B., Kong, X., Wang, R., Zhao, Y., Yang, X. (2022):
Lake restoration time of Lake Taibai (China): a case study based on paleolimnology and ecosystem modeling
J. Paleolimn. 68 (1), 25 - 38 10.1007/s10933-020-00165-7