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Response of Aquatic Ecology in Lentic Waters to Changing Climate Conditions

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Dear Colleagues,

Climate change significantly affects lentic waters worldwide by raising air temperatures, wind stilling, excessive solar UV, and visible radiation, and the topic is currently a critical concern for the environment scientists. Due to the restriction of long-term measurements, however, previous research always focused on the hydrodynamic part (e.g., thermal stratification, water level, and lake size) while neglected the effect of climate change on the ecological one (e.g., oxygen dynamics, nutrients budget, and phytoplankton). This is one of the biggest obstacles we face to fully understand the secondary environment impacts under different climate conditions, which deserves to be closely checked. This Special Issue plans to give an overview of the most recent advances to elucidate the response of aquatic ecology in lentic waters (including lakes, reservoirs, and wetlands) to historical and future climate conditions. This Special Issue focuses on the frontier field of water environmental science, and the results of planned manuscripts will provide scientific guidance for optimizing water management under the changing climate.

Potential topics include, but are not limited to:

Long-term measurements of aquatic environmental conditions under historical climate change;
Effects of extreme climate events (e.g., storm, heavy precipitation, heat wave, etc.) on aquatic ecosystems;
Analysis for the sensitive climate factors related to the water quality problems in lentic aquatic ecosystems (e.g., anoxia, harmful algae bloom, brownification, etc.);
Simulation for the changes of aquatic ecology under future climate scenarios;
Optimization of water management strategies to mitigate negative effects of potential climate change on aquatic ecology;
Using remote sensing tools to elucidate the response of aquatic ecology in lentic waters to climate change, from local to global scale.

Dr. Chenxi Mi
Prof. Dr. Yi Luo
Guest Editors

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Keywords

aquatic ecology
lentic waters
climate change
water quality simulation
remote sensing

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Research

15 pages, 3168 KiB

Open AccessArticle

Metagenomic Analysis Reveals the Response of Microbial Communities and Their Functions in Lake Sediment to Environmental Factors

by Dan Song, Tangbin Huo, Zhao Zhang, Lei Cheng, Le Wang, Kun Ming, Hui Liu, Mengsha Li and Xue Du

Int. J. Environ. Res. Public Health 2022, 19(24), 16870; https://doi.org/10.3390/ijerph192416870 - 15 Dec 2022

Cited by 4 | Viewed by 1743

Abstract

Jingpo Lake is the largest mountain barrier lake in China and plays a key role in breeding, power generation, and providing a source of drinking water. Microbes are important participants in the formation of lake resources and energy cycles. However, the ecological protection of Jingpo Lake has faced serious challenges in recent years. In this study, we investigate the responses of the microbial community’s composition of sediments at five locations to an environmental gradient representing water quality and water-depth changes using a metagenomic sequence. We found that the diversity and composition of the microbiota sediments were altered spatially and correlated with the physicochemical factors of water samples. In the microbial community, relatively lower Chao1, alternating conditional expectations, and Shannon and Simpson indices were found at the shallowest location with higher total phosphorus and chlorophyll a. Furthermore, the Kyoto Encyclopedia of Genes and Genomes analysis revealed that the metabolism function was the most abundant functional classification in Jingpo Lake. The levels of total phosphorus, chlorophyll a and pH were positively correlated with the abundance of Flavobacterium and the bacterial functions of the carbohydrate metabolism and amino acid metabolism. In conclusion, our results reveal the physical and chemical characteristics, as well as the microbial community characteristics, of Jingpo Lake, which provides new insights for studying the relationship between environmental factors and the bacterial community distribution of freshwater ecosystems, in addition to also providing a theoretical basis for the environmental monitoring and protection of the lake. Full article

(This article belongs to the Special Issue Response of Aquatic Ecology in Lentic Waters to Changing Climate Conditions)

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11 pages, 1716 KiB

Open AccessArticle

Dynamic Response of Surface Water Temperature in Urban Lakes under Different Climate Scenarios—A Case Study in Dianchi Lake, China

by Haimei Duan, Chunxue Shang, Kun Yang and Yi Luo

Int. J. Environ. Res. Public Health 2022, 19(19), 12142; https://doi.org/10.3390/ijerph191912142 - 25 Sep 2022

Cited by 2 | Viewed by 1342

Abstract

Lake surface water temperature is a fundamental metabolic indicator of lake ecosystems that affects the exchange of material and energy in lake ecosystems. Estimating and predicting changes in lake surface water temperature is crucial to lake ecosystem research. This study selected Dianchi Lake, a typical urban lake in China, as the research area and used the Air2water model combined with the Mann-Kendall mutation statistical method to analyze the temporal and spatial variation in the surface water temperature of Dianchi Lake under three climate models. The research results show that, under the RCP 5-8.5 scenario model, the surface water temperature change rate for Dianchi Lake from 2015 to 2100 would be 0.28 ℃/10a, which was the largest change rate among the three selected scenarios. The rate of change during 2015–2100 would be 9.33 times higher than that during the historical period (1900–2014) (0.03 °C/10a). Against the background of Niulan River water diversion and rapid urbanization, the surface water temperature of Dianchi Lake experienced abrupt changes in 1992, 2016, 2017, and 2022. Against the background of urbanization, the impact of human activities on the surface water temperature of urban lakes will become greater. Full article

(This article belongs to the Special Issue Response of Aquatic Ecology in Lentic Waters to Changing Climate Conditions)

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