Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1016/j.watres.2021.117427
Licence creative commons licence
Title (Primary) Characterizing 19 thousand Chinese lakes, ponds and reservoirs by morphometric, climate and sediment characteristics
Author Janssen, A.B.G.; Droppers, B.; Kong, X.; Teurlincx, S.; Tong, Y.; Kroeze, C.
Source Titel Water Research
Year 2021
Department SEEFO
Volume 202
Page From art. 117427
Language englisch
Topic T5 Future Landscapes
Supplements https://ars.els-cdn.com/content/image/1-s2.0-S0043135421006254-mmc1.docx
Keywords Eutrophication; Algal blooms; Vulnerability; Stratification; VIC-LAKE; PCLake
Abstract Chinese lakes, including ponds and reservoirs, are increasingly threatened by algal blooms. Yet, each lake is unique, leading to large inter-lake variation in lake vulnerability to algal blooms. Here, we aim to assess the effects of unique lake characteristics on lake vulnerability to algal blooms. To this end, we built a novel and comprehensive database of lake morphometric, climate and sediment characteristics of 19,536 Chinese lakes, including ponds and reservoirs (>0.1 km2). We assessed lake characteristics for nine stratification classes and show that lakes, including ponds and reservoirs, in eastern China typically have a warm stratification class (Tavg>4°C) and are slightly deeper than those in western China. Model results for representative lakes suggest that the most vulnerable lakes to algal blooms are in eastern China where pollution levels are also highest. Our characterization provides an important baseline to inform policymakers in what regions lakes are potentially most vulnerable to algal blooms.
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=24873
Janssen, A.B.G., Droppers, B., Kong, X., Teurlincx, S., Tong, Y., Kroeze, C. (2021):
Characterizing 19 thousand Chinese lakes, ponds and reservoirs by morphometric, climate and sediment characteristics
Water Res. 202 , art. 117427 10.1016/j.watres.2021.117427