Cargando…

Estimating the ecological water levels of shallow lakes: a case study in Tangxun Lake, China

Water level management is an effective tool for the ecological restoration of shallow lakes. In this study, we developed an ecologically-based approach to estimate the monthly suitable ecological water levels (EWLs). This approach took both the lake topographic features and aquatic plants’ growth ch...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Wei, Xu, Mingxiang, Li, Ruiqing, Zhang, Liping, Deng, Qiuliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7101433/
https://www.ncbi.nlm.nih.gov/pubmed/32221357
http://dx.doi.org/10.1038/s41598-020-62454-5
_version_ 1783511625165176832
author Yang, Wei
Xu, Mingxiang
Li, Ruiqing
Zhang, Liping
Deng, Qiuliang
author_facet Yang, Wei
Xu, Mingxiang
Li, Ruiqing
Zhang, Liping
Deng, Qiuliang
author_sort Yang, Wei
collection PubMed
description Water level management is an effective tool for the ecological restoration of shallow lakes. In this study, we developed an ecologically-based approach to estimate the monthly suitable ecological water levels (EWLs). This approach took both the lake topographic features and aquatic plants’ growth characteristics into account. The aquatic vegetation coverage was used to characterize the degree of the lake ecological restoration. The relationship between water level and vegetation coverage was established. We chose the Tangxun Lake as a testbed, and the recommended lowest EWL was 16.6 m, as the minimum threshold for water level regulations. The results revealed that the predicted vegetation coverage decreased with the rise of water level during the germination period (February and March). To achieve the vegetation coverage goal of 30% and 50%, the lake’s water levels must be lowered to 17.1 m and 16.8 m respectively during germination. The EWLs were recommended to be low in spring and high in summer, which was matched with the natural water level regimes. The proposed approach can provide a reliable reference for water level regulation of shallow lakes especially the lakes with insufficient data.
format Online
Article
Text
id pubmed-7101433
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-71014332020-03-31 Estimating the ecological water levels of shallow lakes: a case study in Tangxun Lake, China Yang, Wei Xu, Mingxiang Li, Ruiqing Zhang, Liping Deng, Qiuliang Sci Rep Article Water level management is an effective tool for the ecological restoration of shallow lakes. In this study, we developed an ecologically-based approach to estimate the monthly suitable ecological water levels (EWLs). This approach took both the lake topographic features and aquatic plants’ growth characteristics into account. The aquatic vegetation coverage was used to characterize the degree of the lake ecological restoration. The relationship between water level and vegetation coverage was established. We chose the Tangxun Lake as a testbed, and the recommended lowest EWL was 16.6 m, as the minimum threshold for water level regulations. The results revealed that the predicted vegetation coverage decreased with the rise of water level during the germination period (February and March). To achieve the vegetation coverage goal of 30% and 50%, the lake’s water levels must be lowered to 17.1 m and 16.8 m respectively during germination. The EWLs were recommended to be low in spring and high in summer, which was matched with the natural water level regimes. The proposed approach can provide a reliable reference for water level regulation of shallow lakes especially the lakes with insufficient data. Nature Publishing Group UK 2020-03-27 /pmc/articles/PMC7101433/ /pubmed/32221357 http://dx.doi.org/10.1038/s41598-020-62454-5 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Yang, Wei
Xu, Mingxiang
Li, Ruiqing
Zhang, Liping
Deng, Qiuliang
Estimating the ecological water levels of shallow lakes: a case study in Tangxun Lake, China
title Estimating the ecological water levels of shallow lakes: a case study in Tangxun Lake, China
title_full Estimating the ecological water levels of shallow lakes: a case study in Tangxun Lake, China
title_fullStr Estimating the ecological water levels of shallow lakes: a case study in Tangxun Lake, China
title_full_unstemmed Estimating the ecological water levels of shallow lakes: a case study in Tangxun Lake, China
title_short Estimating the ecological water levels of shallow lakes: a case study in Tangxun Lake, China
title_sort estimating the ecological water levels of shallow lakes: a case study in tangxun lake, china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7101433/
https://www.ncbi.nlm.nih.gov/pubmed/32221357
http://dx.doi.org/10.1038/s41598-020-62454-5
work_keys_str_mv AT yangwei estimatingtheecologicalwaterlevelsofshallowlakesacasestudyintangxunlakechina
AT xumingxiang estimatingtheecologicalwaterlevelsofshallowlakesacasestudyintangxunlakechina
AT liruiqing estimatingtheecologicalwaterlevelsofshallowlakesacasestudyintangxunlakechina
AT zhangliping estimatingtheecologicalwaterlevelsofshallowlakesacasestudyintangxunlakechina
AT dengqiuliang estimatingtheecologicalwaterlevelsofshallowlakesacasestudyintangxunlakechina