Eutrophication and nutrient limitation in the aquatic zones around Huainan coal mine subsidence areas, Anhui, China

2014 ◽  
Vol 70 (5) ◽  
pp. 878-887 ◽  
Author(s):  
Qitao Yi ◽  
Xiaomeng Wang ◽  
Tingting Wang ◽  
Xijie Qu ◽  
Kai Xie
Keyword(s):  
Nutrient Limitation ◽  
Coal Mine ◽  
Trophic Structure ◽  
Inorganic Nitrogen ◽  
Nutrient Content ◽  
Small Lakes ◽  
Eutrophic Lakes ◽  
Blue Green Algae ◽  
Mine Subsidence ◽  
Tn:Tp Ratio

The eutrophication of three small lakes in the aquatic zones at the Huainan coal mine subsidence areas, designated as east site (ES), central site (CS), and west site (WS), were studied. Nutrient content, species, and nitrogen (N) to phosphorus (P) ratios were obtained through water quality analyses. Nutrient limitation was evaluated by nutrient enrichment bioassays (NEBs) in the autumn of 2012 and spring of 2013. Average annual concentrations of total phosphorus (TP) were 0.05, 0.08, and 0.10 mg/L, and total nitrogen (TN) concentrations were 0.77, 1.95, and 2.06 mg/L in the water column at CS, ES, and WS, respectively. All of the three lakes exhibited ‘meso-eutrophic’ states and the TN:TP ratio ranged from 25:1 to 74:1 with variability between seasons and sites. NEBs verified that primary productivity in the lakes at ES and WS were mainly limited by P, while N limitation or N and P co-limitation was present in the aquatic zones at CS due to unavailable dissolved inorganic nitrogen. In the studied lakes, the blue-green algae, which comprised 70% of all identified species, was the predominant taxa, while the micro-zooplankton taxa was dominant, indicating a typical trophic structure of eutrophic lakes.

scholarly journals Rotifer communities in the small lakes around Huainan coal mine subsidence areas

2015 ◽  
Vol 27 (4) ◽  
pp. 657-666
Author(s):  
WANG Xiaomeng ◽  
◽  
YI Qitao ◽  
XU Xin ◽  
LI Hui ◽  
...  
Keyword(s):  
Coal Mine ◽  
Small Lakes ◽  
Mine Subsidence ◽  
Rotifer Communities

scholarly journals The effect of ice phenology exerted on submerged macrophytes through physicochemical parameters and the phytoplankton abundance

2015 ◽  
Author(s):  
Wojciech Ejankowski ◽  
Tomasz Lenard
Keyword(s):  
Physicochemical Parameters ◽  
Aquatic Vegetation ◽  
Myriophyllum Spicatum ◽  
Ice Cover ◽  
Water Transparency ◽  
Ceratophyllum Demersum ◽  
Total Biomass ◽  
Eutrophic Lakes ◽  
Macrophyte Species ◽  
Tn:Tp Ratio

<p>The physicochemical parameters of water, the concentration of chlorophyll-<em>a</em> and the submerged aquatic vegetation (SAV) were studied to evaluate the effects of different winter seasons on the biomass of macrophytes in shallow eutrophic lakes. We hypothesised that a lack of ice cover or early ice-out can influence the physicochemical parameters of water and thus change the conditions for the development of phytoplankton and SAV. The studies were conducted in four lakes of the Western Polesie region in mid-eastern Poland after mild winters with early ice-out (MW, 2011 and 2014) and after cold winters with late ice-out (CW, 2010, 2012 and 2013). The concentrations of soluble and total nitrogen, chlorophyll-<em>a</em> and the TN:TP ratio in the lakes were considerably higher, whereas the concentration of soluble and total phosphorus and water transparency were significantly lower after the MW compared with after the CW. No differences were found in water temperature, reaction and electrolytic conductivity. Low water turbidity linked with low concentration of chlorophyll-<em>a</em> after the CW resulted in increased water transparency and the total biomass of the SAV. The negative effect of the MW on the macrophyte species was stronger on more sensitive species (<em>Myriophyllum spicatum</em>,<em> Stratiotes aloides</em>) compared with shade tolerant <em>Ceratophyllum demersum</em>. Our findings show that the ice cover phenology affected by climate warming can change the balance between phytoplankton and benthic vegetation in shallow eutrophic lakes, acting as a shift between clear and turbid water states. We speculate that various responses of macrophyte species to changes in the water quality after two winter seasons (CW and MW) could cause alterations in the vegetation biomass, particularly the expansion of shade tolerance and the decline of light-demanding species after a series of mild winters.</p>

scholarly journals Spatial distribution and governance of coal-mine subsidence in China

2019 ◽  
Vol 34 (4) ◽  
pp. 867
Author(s):  
Jia-ming LI ◽  
Jian-hui YU ◽  
Wen-zhong ZHANG
Keyword(s):  
Spatial Distribution ◽  
Coal Mine ◽  
Mine Subsidence

Changes in leaf nitrogen and phosphorus content from observations and a land surface model: evidence for increasing nutrient imbalance in Europe

2021 ◽  
Author(s):  
Silvia Caldararu ◽  
Katrin Fleischer ◽  
Lin Yu ◽  
Sönke Zaehle
Keyword(s):  
Nutrient Limitation ◽  
Nutrient Availability ◽  
Land Surface ◽  
Land Surface Model ◽  
Nutrient Content ◽  
N Deposition ◽  
Surface Model ◽  
Leaf Habit ◽  
Anthropogenic Nitrogen ◽  
Leaf N

&lt;p&gt;Increasing atmospheric CO&lt;sub&gt;2&lt;/sub&gt; concentrations can be a driver for higher ecosystem productivity across the globe but nutrient availability may limit subsequent biomass growth. Concurrently, increased anthropogenic nitrogen (N) deposition introduces a relatively large amount of N into the system, thus potentially alleviating N limitation. However, this new N input could push ecosystems into being limited by other resources, most importantly phosphorus (P) in mid- and high-latitude systems, leading to what has been termed an NP imbalance. While the ecological theory behind the processes described above has been discussed on many occasions, it is yet unclear what the actual spatial and temporal patterns of such an imbalance are, as well as the ecpological processes and drivers behind such observed patterns.&lt;/p&gt;&lt;p&gt;Here, we use leaf N and P data from a large European monitoring network, ICP forests, in conjunction with a land surface model, QUINCY (QUantifying Interactions between terrestrial Nutrient CYcles and the climate system), to explore the patterns and drivers behind nutrient limitation at European forest sites. The overall trend in observed leaf N and P content as well as N:P ratio show an increasing nutrient limitation from 1990 to 2015, as well as a shift towards P limitation. However, the observed spatial patterns of change in leaf nutrient content vary strongly with soil nutrient availability, N deposition and leaf habit. The effect of leaf habit suggests that leaf growth strategies&amp;#160; play an important role in dealing with nutrient availability and controlling observed ecosystem responses.&amp;#160;&lt;/p&gt;&lt;p&gt;We use the QUINCY model to explore the drivers behind the observed leaf nutrient trends. We perform simulations with fixed levels of atmospheric CO&lt;sub&gt;2&lt;/sub&gt; as well as in the absence of anthropogenic nitrogen deposition. We show that the decrease in leaf N and P content is attributable to increased atmospheric CO&lt;sub&gt;2,&lt;/sub&gt; while the changes in N:P stoichiometry are reproducible with increased N deposition. Additionally, the model can only predict observed trends when representing physiologically-realistic responses of leaf stoichiometry to nutrient availability. The use of a process-based model allows us to attribute drivers to the observed changes in leaf nutrient content. This research helps the development of data-constrained, process-based models which can potentially be used to predict changes in ecosystem nutrient limitation, and implicitly growth and carbon storage, under future scenarios&lt;/p&gt;

High Resolution Seismic Reflection For Characterizing Longwall Coal Mine Subsidence

1993 ◽  
Author(s):  
James A. Jessop ◽  
Calvin L. Cumerlato ◽  
Kevin M. O‘Connor ◽  
John A. Siekmeier
Keyword(s):  
High Resolution ◽  
Coal Mine ◽  
Seismic Reflection ◽  
Mine Subsidence

An ecological scenario prediction model for newly created wetlands caused by coal mine subsidence in the Yanzhou, China

2019 ◽  
Vol 42 (7) ◽  
pp. 1991-2005
Author(s):  
Mengjie Zhang ◽  
Xingzhong Yuan ◽  
Dongjie Guan ◽  
Hong Liu ◽  
Kuo Sun ◽  
...  
Keyword(s):  
Prediction Model ◽  
Coal Mine ◽  
Created Wetlands ◽  
Mine Subsidence ◽  
Scenario Prediction
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