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Cui Lijuan
Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China

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Journal article
Published: 08 March 2021 in Science of The Total Environment
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Constructed wetlands (CWs) have been regarded as efficient technologies for both wastewater treatment and reuse of water resources. Most studies on CW treatment efficiency are limited to a short-term perspective, and there are still many unknowns about the long-term performance of CWs. Here we evaluated the performance of an integrated CW that has been in operation for more than ten years. The average removal rates of TN and TP were maintained at 53.6% and 67.3% over 10 years, respectively. The annual mass reductions in TN and TP reached 937.5 kg ha−1 yr−1 and 303.2 kg ha−1 yr−1, respectively. In addition, TN removal rate was significantly higher in summer and autumn than those in spring, yet there was no seasonal difference in TP removal. The bacterial richness and diversity in summer and autumn were higher than those in spring. TN and TOC not only determine the bacterial community structure, but also affect the removal efficiency of CW. Denitrification and dephosphorization microorganisms were enriched and accounted for a considerable proportion (21.14–52.85%) in the bacterial community. In addition, the relative abundance of Pseudomonas was significantly positively related with the rate of TN and TP removal.

ACS Style

Yinuo Zhu; Lijuan Cui; Jing Li; Rumiao Wang; Jan Vymazal; Wei Li; Yinru Lei; Manyin Zhang; Ting Hao; Jiaming Wei. Long-term performance of nutrient removal in an integrated constructed wetland. Science of The Total Environment 2021, 779, 146268 .

AMA Style

Yinuo Zhu, Lijuan Cui, Jing Li, Rumiao Wang, Jan Vymazal, Wei Li, Yinru Lei, Manyin Zhang, Ting Hao, Jiaming Wei. Long-term performance of nutrient removal in an integrated constructed wetland. Science of The Total Environment. 2021; 779 ():146268.

Chicago/Turabian Style

Yinuo Zhu; Lijuan Cui; Jing Li; Rumiao Wang; Jan Vymazal; Wei Li; Yinru Lei; Manyin Zhang; Ting Hao; Jiaming Wei. 2021. "Long-term performance of nutrient removal in an integrated constructed wetland." Science of The Total Environment 779, no. : 146268.

Journal article
Published: 21 September 2020 in Water
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Decomposition of emergent macrophytes is now recognized as an internal nutrient source for shallow lakes. Temperate lakes always experience seasonal ice cover in winter, but the influences of emergent macrophytes decomposition on water quality have rarely been examined under ice. Here, we conducted an incubation experiment to investigate winter decomposition of two common emergent macrophytes species (Typha orientalis and Phragmites australis) and its influences on water quality in the Hengshui Lake, North China. Mesocosms simulating a lake ice regime were incubated in the field for 120 days in winter and were treated with and without plant material addition. Water quality was monitored through dissolved oxygen (DO), dissolved organic carbon (DOC), total nitrogen (TN), total phosphorus (TP), ammonium nitrogen (NH4-N), and nitrate nitrogen (NO3-N). We found that both species were significantly decomposed in winter and that the majority of mass loss occurred in the first 10 days of decomposition when the water surface of mesocosms were already frozen. The concentrations of DO rapidly dropped to values close to zero after plant material submergence. At the end of incubation, the concentrations of DOC, TN, and NO3-N in the mesocosms with plant material addition were significantly higher than initial concentrations. In contrast, the concentrations of DOC, TN, TP, NO3-N, and NH4-N in the mesocosms without plant material addition were equal to or less than initial concentrations. Our research suggests that winter decomposition of emergent macrophytes produces negative influences on water quality under ice that lasts for the whole winter.

ACS Style

Yuanyun Wei; Manyin Zhang; Lijuan Cui; Xu Pan; Weiwei Liu; Wei Li; Yinru Lei. Winter Decomposition of Emergent Macrophytes Affects Water Quality under Ice in a Temperate Shallow Lake. Water 2020, 12, 2640 .

AMA Style

Yuanyun Wei, Manyin Zhang, Lijuan Cui, Xu Pan, Weiwei Liu, Wei Li, Yinru Lei. Winter Decomposition of Emergent Macrophytes Affects Water Quality under Ice in a Temperate Shallow Lake. Water. 2020; 12 (9):2640.

Chicago/Turabian Style

Yuanyun Wei; Manyin Zhang; Lijuan Cui; Xu Pan; Weiwei Liu; Wei Li; Yinru Lei. 2020. "Winter Decomposition of Emergent Macrophytes Affects Water Quality under Ice in a Temperate Shallow Lake." Water 12, no. 9: 2640.

Journal article
Published: 22 June 2020 in Remote Sensing
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Studying the stoichiometric characteristics of plant C, N, and P is an effective way of understanding plant survival and adaptation strategies. In this study, 60 fixed plots and 120 random plots were set up in a reed-swamp wetland, and the canopy spectral data were collected in order to analyze the stoichiometric characteristics of C, N, and P across all four seasons. Three machine models (random forest, RF; support vector machine, SVM; and back propagation neural network, BPNN) were used to study the stoichiometric characteristics of these elements via hyperspectral inversion. The results showed significant differences in these characteristics across seasons. The RF model had the highest prediction accuracy concerning the stoichiometric properties of C, N, and P. The R2 of the four-season models was greater than 0.88, 0.95, 0.97, and 0.92, respectively. According to the root mean square error (RMSE) results, the model error of total C (TC) inversion is the smallest, and that of C/N inversion is the largest. The SVM yielded poor predictive results for the stoichiometric properties of C, N, and P. The R2 of the four-season models was greater than 0.82, 0.81, 0.81, and 0.70, respectively. According to RMSE results, the model error of TC inversion is the smallest, and that of C/P inversion is the largest. The BPNN yielded high stoichiometric prediction accuracy. The R2 of the four-season models was greater than 0.87, 0.96, 0.84, and 0.90, respectively. According to RMSE results, the model error of TC inversion is the smallest, and that of C/P inversion is the largest. The accuracy and stability of the results were verified by comprehensive analysis. The RF model showed the greatest prediction stability, followed by the BPNN and then the SVM models. The results indicate that the accuracy and stability of the RF model were the highest. Hyperspectral data can be used to accurately invert the stoichiometric characteristics of C, N, and P in wetland plants. It provides a scientific basis for the long-term dynamic monitoring of plant stoichiometry through hyperspectral data in the future.

ACS Style

Lijuan Cui; Zhiguo Dou; Zhijun Liu; Xueyan Zuo; Yinru Lei; Jing Li; Xinsheng Zhao; Xiajie Zhai; Xu Pan; Wei Li. Hyperspectral Inversion of Phragmites Communis Carbon, Nitrogen, and Phosphorus Stoichiometry Using Three Models. Remote Sensing 2020, 12, 1998 .

AMA Style

Lijuan Cui, Zhiguo Dou, Zhijun Liu, Xueyan Zuo, Yinru Lei, Jing Li, Xinsheng Zhao, Xiajie Zhai, Xu Pan, Wei Li. Hyperspectral Inversion of Phragmites Communis Carbon, Nitrogen, and Phosphorus Stoichiometry Using Three Models. Remote Sensing. 2020; 12 (12):1998.

Chicago/Turabian Style

Lijuan Cui; Zhiguo Dou; Zhijun Liu; Xueyan Zuo; Yinru Lei; Jing Li; Xinsheng Zhao; Xiajie Zhai; Xu Pan; Wei Li. 2020. "Hyperspectral Inversion of Phragmites Communis Carbon, Nitrogen, and Phosphorus Stoichiometry Using Three Models." Remote Sensing 12, no. 12: 1998.

Articles
Published: 25 February 2020 in Remote Sensing Letters
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The nitrogen and phosphorus content in water and sediment is an important index for evaluating the nutritional status of wetland ecosystems. This study used an inversion model to assess the total nitrogen (TN) and total phosphorus (TP) content of constructed wetland using the canopy spectral reflectance data of four wetland plants. And then determine their relative suitability as a remotely sensed environmental monitoring tool. For water, the coefficient of determination (R2) of floating plants (up to 0.92) was higher than that of emergent plants (up to 0.82). For sediment, the R2 of TN inversion for S. natans was 0.59 and that of TP inversion for L. minor was 0.52, suggesting that floating plant canopy spectral reflectance data are more useful for assessing water directly, while indicators for the sedimentary environment can be assessed using emergent plants. Overall, the results clearly show that it is feasible to estimate water and sediment TN and TP content using plant canopy spectral reflectance data, providing the basis for widespread, rapid, and reliable monitoring of wetland ecosystem health via hyperspectral remote sensing. This study provides a reference for the timely development of further wetland restoration and protection measures.

ACS Style

Wei Li; Zhiguo Dou; Lijuan Cui; Rumiao Wang; Zhijiang Zhao; Shifeng Cui; Yinru Lei; Jing Li; Xinsheng Zhao; Xiajie Zhai. Suitability of hyperspectral data for monitoring nitrogen and phosphorus content in constructed wetlands. Remote Sensing Letters 2020, 11, 495 -504.

AMA Style

Wei Li, Zhiguo Dou, Lijuan Cui, Rumiao Wang, Zhijiang Zhao, Shifeng Cui, Yinru Lei, Jing Li, Xinsheng Zhao, Xiajie Zhai. Suitability of hyperspectral data for monitoring nitrogen and phosphorus content in constructed wetlands. Remote Sensing Letters. 2020; 11 (5):495-504.

Chicago/Turabian Style

Wei Li; Zhiguo Dou; Lijuan Cui; Rumiao Wang; Zhijiang Zhao; Shifeng Cui; Yinru Lei; Jing Li; Xinsheng Zhao; Xiajie Zhai. 2020. "Suitability of hyperspectral data for monitoring nitrogen and phosphorus content in constructed wetlands." Remote Sensing Letters 11, no. 5: 495-504.

Research article
Published: 01 January 2020 in Marine and Freshwater Research
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Coastal wetlands not only have abundant biodiversity and high productivity, but they also play an irreplaceable and important role in regional ecosystems. Because of the complex structure and dynamic characteristics of coastal wetlands, it is difficult to observe the spatial changes of coastal wetlands on a large scale and improve data reliability. In this study, a spatially constrained manual-interpretation method based on nationwide high-resolution images in 2017 was adopted to extract China’s coastal wetland distribution, and, then, the second national wetland-survey data from 2011 were used as a baseline for change analysis. The results showed that under the influence of natural conditions and human activities, China’s coastal wetlands have decreased in distribution in the past 6 years. The situation of coastal wetland reclamation is critical, and the hotspot regions are mainly distributed in Bohai Bay, middle of Jiangsu province and Hangzhou Bay. Farming reclamation is another factor that occupies coastal wetlands in China, and main occupied wetlands are mudflats, shallow sea, tidal flats, intertidal salt marshes and estuarine waters. Tide is the main factor affecting extraction of wetlands, the spatially constrained method had a positive effect on wetland detection, and has potential to improve automatic algorithms of complex coastal wetlands.

ACS Style

Yin Gao; Lijuan Cui; Jianjun Liu; Wei Li; Yinru Lei. China's coastal-wetland change analysis based on high-resolution remote sensing. Marine and Freshwater Research 2020, 71, 1161 .

AMA Style

Yin Gao, Lijuan Cui, Jianjun Liu, Wei Li, Yinru Lei. China's coastal-wetland change analysis based on high-resolution remote sensing. Marine and Freshwater Research. 2020; 71 (9):1161.

Chicago/Turabian Style

Yin Gao; Lijuan Cui; Jianjun Liu; Wei Li; Yinru Lei. 2020. "China's coastal-wetland change analysis based on high-resolution remote sensing." Marine and Freshwater Research 71, no. 9: 1161.

Constructed wetlands
Published: 11 December 2019 in Wetlands
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Leaf nutrient resorption is a fundamental process, which prevails in nutrient-poor ecosystems. However, few studies have focused on this process in nutrient-rich ecosystems, especially in eutrophic constructed wetland (CWs). Thus, insight into the nutrient resorption processes of different species in CWs might have important implications for wetland restoration and water purification. Here, we assessed the leaf nitrogen and phosphorus resorption efficiencies and proficiencies of 11 plant species (4 floating and 7 emergent plants) from a CW, and related them to both plant functional traits and environmental variables to develop better predictive power of resorption processes across species. Our results showed that emergent and floating plants, respectively, resorbed 37.4% vs. 8.6% N and 50.1% vs. 23.3% P during nutrient resorption in such a nutrient-rich CW. Green leaf nutrient was the best predictor for the nutrient resorption efficiencies and proficiencies in this CW. Interspecific variation in nutrient resorption defines an important strategy for plant nutrient recycling in nutrient-rich wetland ecosystems, and provide a tool for optimizing the efficiency and timing of nutrient capture via foliage harvesting. This link between wetland plant functions and wetland ecosystem services will thus be beneficial for the nutrient management of CWs in future.

ACS Style

Xu Pan; Yunmei Ping; Lijuan Cui; Xiaodong Zhang; Wei Li; Yukun Hu; Johannes H. C. Cornelissen. Nutrient Resorption from Leaves of Wetland Plants in a Constructed Wetland Depends on Green Leaf Nutrient Content and Life Form. Wetlands 2019, 40, 983 -991.

AMA Style

Xu Pan, Yunmei Ping, Lijuan Cui, Xiaodong Zhang, Wei Li, Yukun Hu, Johannes H. C. Cornelissen. Nutrient Resorption from Leaves of Wetland Plants in a Constructed Wetland Depends on Green Leaf Nutrient Content and Life Form. Wetlands. 2019; 40 (5):983-991.

Chicago/Turabian Style

Xu Pan; Yunmei Ping; Lijuan Cui; Xiaodong Zhang; Wei Li; Yukun Hu; Johannes H. C. Cornelissen. 2019. "Nutrient Resorption from Leaves of Wetland Plants in a Constructed Wetland Depends on Green Leaf Nutrient Content and Life Form." Wetlands 40, no. 5: 983-991.

Journal article
Published: 27 November 2019 in Science of The Total Environment
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Plant litter plays an important role in affecting the water quality of wetland ecosystems. However, it is unknown whether litter decomposability and species traits might predict water quality changes during litter submergence. Here, we conducted a greenhouse experiment to examine the effects of four submerged plant species, together with two water sources (sampled from tourism and protected areas), and oxygen injection treatments on the changes of eight water quality parameters during litter submergence. Our results showed that litter submergence significantly affected water quality changes, and the observed effects changed through time and differed between two water sources, between oxygen injection and the control treatments, and among different litter species. Moreover, water electric conductivity (EC), total dissolved solids (TDS), water total nitrogen (TN), ammonium and nitrite nitrogen increased with increasing initial litter total carbon (TC), TN and total phosphorus (TP), but water dissolved oxygen (DO) decreased with increasing litter TC, TN and TP. Moreover, water EC, TDS and TN increased with the final mass losses after 10-week submergence. These results indicated that species traits (including decomposability) might be good predictors for the water quality changes during litter submergence, and such a trait-based approach might be a promising tool to link plant species diversity via plant functional traits to water quality or other wetland ecosystem services.

ACS Style

Xu Pan; Yunmei Ping; Yukun Hu; Yaobin Song; Xiaodong Zhang; Wei Li; Lijuan Cui; Jan Vymazal. Species traits and decomposability predict water quality changes during litter submergence. Science of The Total Environment 2019, 712, 135581 .

AMA Style

Xu Pan, Yunmei Ping, Yukun Hu, Yaobin Song, Xiaodong Zhang, Wei Li, Lijuan Cui, Jan Vymazal. Species traits and decomposability predict water quality changes during litter submergence. Science of The Total Environment. 2019; 712 ():135581.

Chicago/Turabian Style

Xu Pan; Yunmei Ping; Yukun Hu; Yaobin Song; Xiaodong Zhang; Wei Li; Lijuan Cui; Jan Vymazal. 2019. "Species traits and decomposability predict water quality changes during litter submergence." Science of The Total Environment 712, no. : 135581.

Articles
Published: 18 October 2019 in Spectroscopy Letters
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Nitrogen is an essential nutrient for plant growth and development. Rapid and nondestructive monitoring of nitrogen nutrition in plants using hyperspectral remote sensing is important for accurate diagnosis and quality evaluation of plant growth status. The sensitive bands of leaf nitrogen concentration varied in different plants. However, most of the current studies are concentrated on crops, and only a few studies focused on wetland plants. This study investigated the accuracy of the most common univariate, stepwise multiple linear regression, and partial least squares regression models for predicting leaf nitrogen content in a wetland plant reed (Phragmites australis) by testing the accuracy of all the models through leave-one-out cross validation coefficient of determination, root mean square error and relative error. It found that: (i) sensitive bands responding to leaf nitrogen concentration were concentrated in the green and red regions of visible light; (ii) for univariate regression models, the quadratic polynomial model based on the difference spectral index composed of 665 nm and 680 nm had the highest predictive accuracy (the validation coefficient of determination was 0.7535); (iii) for multivariate regression models, the stepwise multiple linear regression models had superior predictive accuracy to the partial least squares regression models, and the stepwise multiple linear regression model with first derivative reflectance was optimal for predicting leaf nitrogen concentration (the validation coefficient of determination was 0.7746, the validation root mean square error was 0.2925, and the validation relative error was 0.0804). The findings provide a scientific basis for rapid estimation and monitoring of leaf nitrogen concentration in P. australis in a nondestructive manner.

ACS Style

Manyin Zhang; Mengjie Li; Weiwei Liu; Lijuan Cui; Wei Li; Henian Wang; Yuanyun Wei; Ziliang Guo; Daan Wang; Yukun Hu; Weigang Xu; Si Yang; Hongye Xiao; Songyuan Long. Analyzing the performance of statistical models for estimating leaf nitrogen concentration of Phragmites australis based on leaf spectral reflectance. Spectroscopy Letters 2019, 52, 483 -491.

AMA Style

Manyin Zhang, Mengjie Li, Weiwei Liu, Lijuan Cui, Wei Li, Henian Wang, Yuanyun Wei, Ziliang Guo, Daan Wang, Yukun Hu, Weigang Xu, Si Yang, Hongye Xiao, Songyuan Long. Analyzing the performance of statistical models for estimating leaf nitrogen concentration of Phragmites australis based on leaf spectral reflectance. Spectroscopy Letters. 2019; 52 (9):483-491.

Chicago/Turabian Style

Manyin Zhang; Mengjie Li; Weiwei Liu; Lijuan Cui; Wei Li; Henian Wang; Yuanyun Wei; Ziliang Guo; Daan Wang; Yukun Hu; Weigang Xu; Si Yang; Hongye Xiao; Songyuan Long. 2019. "Analyzing the performance of statistical models for estimating leaf nitrogen concentration of Phragmites australis based on leaf spectral reflectance." Spectroscopy Letters 52, no. 9: 483-491.

Journal article
Published: 25 September 2019 in Scientific Reports
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Plant litter is an important component in wetland ecosystems, and the role of plant litter decomposition is considered to be important for wetland ecosystem functions and services. However, the consequences of litter inputs have seldom been experimentally tested in real ecosystems such as constructed wetlands (CWs). The enriched nutrients in CWs might weaken the role of litter inputs on soil carbon and nitrogen cycling. Here, we conducted a two-month field experiment to examine the effects of litter inputs on the soils in CWs. Our results showed that litter inputs significantly affected soil microbial (bacterial and fungi) diversities and properties (soil total nitrogen and nitrogen isotopes), and litter species with higher stoichiometry ratios, i.e. C/N, C/P and N/P led to higher microbial diversities. However, litter species had no or weak effects on microbial activities (CO2 and CH4 flux) or on the relative abundance of microbial communities, indicating that other environmental factors in such a CW might have stronger effects on those factors than litter inputs. These results highlighted the importance of submerged plant litter in nutrient-rich wetland ecosystems and provide potential tools for managers to improve the ecosystem functions and/or services via altering microbial diversities.

ACS Style

Yunmei Ping; Xu Pan; Wei Li; Jinzhi Wang; Lijuan Cui. The soil bacterial and fungal diversity were determined by the stoichiometric ratios of litter inputs: evidence from a constructed wetland. Scientific Reports 2019, 9, 1 -7.

AMA Style

Yunmei Ping, Xu Pan, Wei Li, Jinzhi Wang, Lijuan Cui. The soil bacterial and fungal diversity were determined by the stoichiometric ratios of litter inputs: evidence from a constructed wetland. Scientific Reports. 2019; 9 (1):1-7.

Chicago/Turabian Style

Yunmei Ping; Xu Pan; Wei Li; Jinzhi Wang; Lijuan Cui. 2019. "The soil bacterial and fungal diversity were determined by the stoichiometric ratios of litter inputs: evidence from a constructed wetland." Scientific Reports 9, no. 1: 1-7.

Original research
Published: 09 July 2019 in Ecology and Evolution
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Examining the coordination of leaf and fine root traits not only aids a better understanding of plant ecological strategies from a whole-plant perspective, but also helps improve the prediction of belowground properties from aboveground traits. The relationships between leaf and fine root traits have been extensively explored at global and regional scales, but remain unclear at local scales. Here, we measured six pairs of analogous leaf and fine root traits related to resource economy and organ size for coexisting dominant and subordinate vascular plants at three successional stages of temperate forest swamps in Lingfeng National Nature Reserve in the Greater Hinggan Mountains, NE China. Leaf and fine root traits related to resource acquisition (e.g., specific leaf area [SLA], leaf N, leaf P, root water content, and root P) decreased with succession. Overall, we found strong linear relationships between leaf dry matter content (LDMC) and root water content, and between leaf and root C, N, and P concentrations, but only weak correlations were observed between leaf area and root diameter, and between SLA and specific root length (SRL). The strong relationships between LDMC and root water content and between leaf and root C, N, and P held at the early and late stages, but disappeared at the middle stage. Besides, C and P of leaves were significantly correlated with those of roots for woody plants, while strong linkages existed between LDMC and root water content and between leaf N and root N for herbaceous species. These results provided evidence for the existence of strong coordination between leaf and root traits at the local scale. Meanwhile, the leaf-root trait relationships could be modulated by successional stage and growth form, indicating the complexity of coordination of aboveground and belowground traits at the local scale.

ACS Style

Yu‐Kun Hu; Xu Pan; Xue‐Jun Yang; Guo‐Fang Liu; Xu‐Yan Liu; Yao‐Bin Song; Man‐Yin Zhang; Li‐Juan Cui; Ming Dong. Is there coordination of leaf and fine root traits at local scales? A test in temperate forest swamps. Ecology and Evolution 2019, 9, 8714 -8723.

AMA Style

Yu‐Kun Hu, Xu Pan, Xue‐Jun Yang, Guo‐Fang Liu, Xu‐Yan Liu, Yao‐Bin Song, Man‐Yin Zhang, Li‐Juan Cui, Ming Dong. Is there coordination of leaf and fine root traits at local scales? A test in temperate forest swamps. Ecology and Evolution. 2019; 9 (15):8714-8723.

Chicago/Turabian Style

Yu‐Kun Hu; Xu Pan; Xue‐Jun Yang; Guo‐Fang Liu; Xu‐Yan Liu; Yao‐Bin Song; Man‐Yin Zhang; Li‐Juan Cui; Ming Dong. 2019. "Is there coordination of leaf and fine root traits at local scales? A test in temperate forest swamps." Ecology and Evolution 9, no. 15: 8714-8723.

Journal article
Published: 30 May 2019 in Estuarine, Coastal and Shelf Science
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Nitrogen (N) cycling is important in determining ecosystem primary productivity and the succession of plant communities in coastal marshes. In order to examine the effects of biotic disturbances (i.e. vegetation change and crab burrowing) on N transformations, we conducted a field experiment in which crabs were either removed or left intact in three marsh types (bare flat, Phragmites australis marsh and Spartina alterniflora marsh) at Chongming Dongtan in the Yangtze River Estuary. The potential rates of soil gross nitrogen mineralization (GNM), gross ammonium immobilization (GAI), gross nitrification and gross nitrate consumption were determined using an ex situ incubation approach. Gross N mineralization was significantly lower in vegetated marshes than in the bare flat, probably because dissolved organic carbon (the main energy source for microbes) was lower in vegetated marshes. Less dissolved organic carbon in vegetated marshes may be attributable to high microbial demand for labile carbon relative to the supply of labile carbon in the rhizosphere. The presence of crabs increased the GAI:GNM ratio, indicating that crabs may increase the soil microbial demand for ammonium. Ammonium immobilization competed with nitrification for ammonium, and limited nitrification in crab-present plots. Furthermore, the lower nitrate production by nitrifies in crab-present plots resulted in lower rates of nitrate consumption. These results highlight the role of labile carbon and N in mediating the effects of macrophyte and soil fauna on N transformations.

ACS Style

Xiaodong Zhang; Lijuan Cui; Ming Nie; Junjiong Shao; Shujuan Wei; XiaoMing Kang; Bo Li. Macrophytes and crabs affect nitrogen transformations in salt marshes of the Yangtze River Estuary. Estuarine, Coastal and Shelf Science 2019, 225, 106242 .

AMA Style

Xiaodong Zhang, Lijuan Cui, Ming Nie, Junjiong Shao, Shujuan Wei, XiaoMing Kang, Bo Li. Macrophytes and crabs affect nitrogen transformations in salt marshes of the Yangtze River Estuary. Estuarine, Coastal and Shelf Science. 2019; 225 ():106242.

Chicago/Turabian Style

Xiaodong Zhang; Lijuan Cui; Ming Nie; Junjiong Shao; Shujuan Wei; XiaoMing Kang; Bo Li. 2019. "Macrophytes and crabs affect nitrogen transformations in salt marshes of the Yangtze River Estuary." Estuarine, Coastal and Shelf Science 225, no. : 106242.

Journal article
Published: 02 March 2019 in Sustainability
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Particulate matter (PM) is an essential source of atmospheric pollution in metropolitan areas since it has adverse effects on human health. However, previous research suggested wetlands can remove particulate matter from the atmosphere to land surfaces. This study was conducted in the Hanshiqiao Wetland National Nature Reserve in Beijing during 2016. The concentrations of PM10 and PM2.5 on a wetland and bare land in the park, as well as metrological data, were collected during the whole year. Based on the observed data, removal efficiency of each land use type was calculated by empirical models and the relationships between concentrations and metrological factors were also analyzed. The results indicated that: (1) In general, the PM10 and PM2.5 concentrations on the bare land surface were higher than those on the wetland surface, in both of which the highest value appeared at night and evening, while the lowest value appeared near noon. In terms of season, the average concentration of PM10 was higher in winter (wetland: 137.48 μg·m−3; bare land: 164.75 μg·m−3) and spring (wetland: 205.18 μg·m−3; bare land: 244.85 μg·m−3) in general. The concentration of PM2.5 on the wetland surface showed the same pattern, while that on the bare land surface was higher in spring and summer. (2) Concentrations of PM10 and PM2.5 were significantly correlated with the relative humidity (p < 0.01) and inversely correlated with wind speed (p < 0.05). The relationship between PM10 and PM2.5 concentrations and temperature was more complicated—it showed a significantly negative correlation (p < 0.01) between them in winter and spring, however, the correlation was insignificant in autumn. In summer, only the correlation between PM10 concentration and temperature on the wetland surface was significant (p < 0.01). (3) The dry removal efficiency of PM10 was greater than that of PM2.5. The dry removal efficiencies of PM10 and PM2.5 followed the order of spring > winter > autumn > summer on the wetland. This study seeks to provide practical measures to improve air quality and facilitate sustainable development in Beijing.

ACS Style

Chunyi Li; Yilan Huang; Huanhuan Guo; Gaojie Wu; Yifei Wang; Wei Li; Lijuan Cui. The Concentrations and Removal Effects of PM10 and PM2.5 on a Wetland in Beijing. Sustainability 2019, 11, 1312 .

AMA Style

Chunyi Li, Yilan Huang, Huanhuan Guo, Gaojie Wu, Yifei Wang, Wei Li, Lijuan Cui. The Concentrations and Removal Effects of PM10 and PM2.5 on a Wetland in Beijing. Sustainability. 2019; 11 (5):1312.

Chicago/Turabian Style

Chunyi Li; Yilan Huang; Huanhuan Guo; Gaojie Wu; Yifei Wang; Wei Li; Lijuan Cui. 2019. "The Concentrations and Removal Effects of PM10 and PM2.5 on a Wetland in Beijing." Sustainability 11, no. 5: 1312.

Original paper
Published: 20 November 2018 in Wetlands Ecology and Management
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Accurate estimates of reed (Phragmites communis) biomass are critical for efficient reed swamp monitoring and management. This study compared the accuracy of commonly used empirical models in estimating above-ground biomass in dense swamp reeds in the Beijing Hanshiqiao Wetland Nature Reserve, northern China. Two-thirds of the samples were used for model construction, and one-third for model validation. Models for estimating reed above-ground biomass, based on original spectral reflectance, first-order differential spectrum, trilateral parameters and partial least squares (PLS), were constructed using univariate linear regression and the PLS method. Results showed that the biomass estimation model based on the first-order differential spectrum was relatively inefficient. Model accuracy was highest in the PLS model, followed by the original spectral reflectance model and was lowest in the trilateral parameters model. The model validation results were consistent with the accuracy of the established estimation model, so the model has good stability. We conclude that above-ground biomass can be successfully estimated using canopy hyperspectral information on wetland plants, based on the empirical model. The PLS method not only was more accurate in estimating fresh biomass but also represented a significant improvement in estimating dry biomass.

ACS Style

Wei Li; Zhiguo Dou; Yan Wang; Gaojie Wu; Manyin Zhang; Yinru Lei; Yunmei Ping; Jiachen Wang; Lijuan Cui; Wu Ma. Estimation of above-ground biomass of reed (Phragmites communis) based on in situ hyperspectral data in Beijing Hanshiqiao Wetland, China. Wetlands Ecology and Management 2018, 27, 87 -102.

AMA Style

Wei Li, Zhiguo Dou, Yan Wang, Gaojie Wu, Manyin Zhang, Yinru Lei, Yunmei Ping, Jiachen Wang, Lijuan Cui, Wu Ma. Estimation of above-ground biomass of reed (Phragmites communis) based on in situ hyperspectral data in Beijing Hanshiqiao Wetland, China. Wetlands Ecology and Management. 2018; 27 (1):87-102.

Chicago/Turabian Style

Wei Li; Zhiguo Dou; Yan Wang; Gaojie Wu; Manyin Zhang; Yinru Lei; Yunmei Ping; Jiachen Wang; Lijuan Cui; Wu Ma. 2018. "Estimation of above-ground biomass of reed (Phragmites communis) based on in situ hyperspectral data in Beijing Hanshiqiao Wetland, China." Wetlands Ecology and Management 27, no. 1: 87-102.

Journal article
Published: 19 November 2018 in Sustainability
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Potential changes in both the intensity and frequency of extreme drought events are vital aspects of regional climate change that can alter the distribution and dynamics of water availability and subsequently affect carbon cycles at the ecosystem level. The effects of extreme drought events on the carbon budget of peatland in the Zoige plateau and its response mechanisms were studied using an in-field controlled experimental method. The results indicated that the peatland ecosystem of the Zoige plateau functioned as a carbon sink while under the control (CK) or extreme drought (D) treatment throughout the entire growing season. Maximum fluxes of methane (CH4) emissions and the weakest carbon sink activity from this ecosystem were in the early growth stage, the most powerful carbon sink activity was during the peak growth stage, while the absorption sink activity of carbon dioxide (CO2) and CH4 was present during the senescence stage. Extreme drought reduced the gross primary productivity (GPP) and ecosystem respiration (Re) of the peatland ecosystem by 14.5% and 12.6%, respectively (p < 0.05) and the net ability to store carbon was reduced by 11.3%. Overall, the GPP was highly sensitive to extreme drought. Moreover, extreme drought significantly reduced the CH4 fluxes of the ecosystem and even changed the peatland from a CH4 emission source to a CH4 sink. Subsequent to drought treatment, extreme drought was also shown to have a carry-over effect on the carbon budget of this ecosystem. Soil water content and soil temperature were the main driving factors of carbon budget change in the peatland of the Zoige plateau, but with the increase in soil depth, these driving forces were decreased. The findings indicated that frequent extreme drought events in the future might reduce the net carbon sink function of peatland areas, with an especially strong influence on CO2.

ACS Style

XiaoMing Kang; Liang Yan; Lijuan Cui; Xiaodong Zhang; Yanbin Hao; Haidong Wu; Yuan Zhang; Wei Li; Kerou Zhang; Zhongqing Yan; Yong Li; Jinzhi Wang. Reduced Carbon Dioxide Sink and Methane Source under Extreme Drought Condition in an Alpine Peatland. Sustainability 2018, 10, 4285 .

AMA Style

XiaoMing Kang, Liang Yan, Lijuan Cui, Xiaodong Zhang, Yanbin Hao, Haidong Wu, Yuan Zhang, Wei Li, Kerou Zhang, Zhongqing Yan, Yong Li, Jinzhi Wang. Reduced Carbon Dioxide Sink and Methane Source under Extreme Drought Condition in an Alpine Peatland. Sustainability. 2018; 10 (11):4285.

Chicago/Turabian Style

XiaoMing Kang; Liang Yan; Lijuan Cui; Xiaodong Zhang; Yanbin Hao; Haidong Wu; Yuan Zhang; Wei Li; Kerou Zhang; Zhongqing Yan; Yong Li; Jinzhi Wang. 2018. "Reduced Carbon Dioxide Sink and Methane Source under Extreme Drought Condition in an Alpine Peatland." Sustainability 10, no. 11: 4285.

Journal article
Published: 12 September 2018 in Science of The Total Environment
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Microorganisms play crucial roles in the nitrogen removal processes of wetlands. However, the key functional genes and microbes related to the nitrogen removal remain largely unknown in the free water surface constructed wetland (FWS CW). Here we studied the abundances of denitrifiers by targeting the key functional genes (nirS, nirK and nosZ) and investigated the community compositions of denitrifiers and their correlations with the abiotic variables in a FWS CW. The increase of nosZ/(nirS + nirK) and nirS/nirK ratios in the outlet indicated a shift of denitrifiers' communities which tended to release less nitrous oxide at the genetic potential level. The denitrifiers dominated the bacterial community which also remarkably changed from the inlet to the outlet. PICRUSt analysis revealed that the denitrifiers contributed to 39.1% of the nitrogen metabolism, 38.9% of the amino acid metabolism and 25.6% of the amino acid related enzymes. Four bacterial genera including Hydrogenophaga, Hylemonella, Aquabacterium and Cellvibrio were detected as the putative keystone denitrifiers. The abundance (nirS, nirK and nosZ) and the relative abundance of putative keystone denitrifiers were significantly correlated with total organic carbon, oxidation-reduction potential and C/N ratio, which could be regarded as the determinants for the denitrification process in the free water.

ACS Style

Jing Li; Jun-Tao Wang; Hang-Wei Hu; Zhang-Jie Cai; Yin-Ru Lei; Wei Li; Man-Yin Zhang; Zong-Ming Li; Yi-Nuo Zhu; Li-Juan Cui. Changes of the denitrifying communities in a multi-stage free water surface constructed wetland. Science of The Total Environment 2018, 650, 1419 -1425.

AMA Style

Jing Li, Jun-Tao Wang, Hang-Wei Hu, Zhang-Jie Cai, Yin-Ru Lei, Wei Li, Man-Yin Zhang, Zong-Ming Li, Yi-Nuo Zhu, Li-Juan Cui. Changes of the denitrifying communities in a multi-stage free water surface constructed wetland. Science of The Total Environment. 2018; 650 ():1419-1425.

Chicago/Turabian Style

Jing Li; Jun-Tao Wang; Hang-Wei Hu; Zhang-Jie Cai; Yin-Ru Lei; Wei Li; Man-Yin Zhang; Zong-Ming Li; Yi-Nuo Zhu; Li-Juan Cui. 2018. "Changes of the denitrifying communities in a multi-stage free water surface constructed wetland." Science of The Total Environment 650, no. : 1419-1425.

Journal article
Published: 01 September 2018 in Ecological Indicators
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ACS Style

Lijuan Cui; Wei Li; Changjun Gao; Manyin Zhang; Xinsheng Zhao; Zheng Yang; Yinru Lei; Di Huang; Wu Ma. Identifying the influence factors at multiple scales on river water chemistry in the Tiaoxi Basin, China. Ecological Indicators 2018, 92, 228 -238.

AMA Style

Lijuan Cui, Wei Li, Changjun Gao, Manyin Zhang, Xinsheng Zhao, Zheng Yang, Yinru Lei, Di Huang, Wu Ma. Identifying the influence factors at multiple scales on river water chemistry in the Tiaoxi Basin, China. Ecological Indicators. 2018; 92 ():228-238.

Chicago/Turabian Style

Lijuan Cui; Wei Li; Changjun Gao; Manyin Zhang; Xinsheng Zhao; Zheng Yang; Yinru Lei; Di Huang; Wu Ma. 2018. "Identifying the influence factors at multiple scales on river water chemistry in the Tiaoxi Basin, China." Ecological Indicators 92, no. : 228-238.

Journal article
Published: 01 September 2018 in Polish Journal of Ecology
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ACS Style

Yunmei Ping; Lijuan Cui; Xu Pan; Wei Li; Youzhi Li; XiaoMing Kang; Tianyu Song; Ping He. Decomposition Processes in Coastal Wetlands: The Importance of Suaeda salsa Community for Soil Cellulose Decomposition. Polish Journal of Ecology 2018, 66, 217 -226.

AMA Style

Yunmei Ping, Lijuan Cui, Xu Pan, Wei Li, Youzhi Li, XiaoMing Kang, Tianyu Song, Ping He. Decomposition Processes in Coastal Wetlands: The Importance of Suaeda salsa Community for Soil Cellulose Decomposition. Polish Journal of Ecology. 2018; 66 (3):217-226.

Chicago/Turabian Style

Yunmei Ping; Lijuan Cui; Xu Pan; Wei Li; Youzhi Li; XiaoMing Kang; Tianyu Song; Ping He. 2018. "Decomposition Processes in Coastal Wetlands: The Importance of Suaeda salsa Community for Soil Cellulose Decomposition." Polish Journal of Ecology 66, no. 3: 217-226.

Book chapter
Published: 16 May 2018 in The Wetland Book
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The Yangtze River, originating in the Tanggula Mountains, is the longest river in China and the third longest in the world. It flows from west to east across 11 provinces (or autonomous regions and municipalities) for about 6,300 km before emptying into the East China Sea at Shanghai. The Yangtze River ranks first nationally in terms of water flow, with total water resources of 960 billion m3, making up about 36% of the runoff volume in China, 20 times larger than that of the Yellow River. The wetlands along the Yangtze River Basin cover a total area of 20.74 Mha, accounting for 38.69% of the national wetland area. This chapter introduces the wetlands distributed in the headstream, the upper reaches, the middle and lower reaches and the estuary of Yangtze River. Further, the chapter identifies the challenges faced by the wetlands along Yangtze River.

ACS Style

Cui Lijuan; Zhang Manyin; Xu Weigang. Yangtze River Basin (China). The Wetland Book 2018, 1551 -1563.

AMA Style

Cui Lijuan, Zhang Manyin, Xu Weigang. Yangtze River Basin (China). The Wetland Book. 2018; ():1551-1563.

Chicago/Turabian Style

Cui Lijuan; Zhang Manyin; Xu Weigang. 2018. "Yangtze River Basin (China)." The Wetland Book , no. : 1551-1563.

Book chapter
Published: 16 May 2018 in The Wetland Book
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The Yellow River is the second largest river in China. It originates in the Yueguzonglie Basin, on the northern flank of the Bayan Har Mountains of the Qinghai-Tibet Plateau, at an altitude of 4500 m. Encompassing a drainage area of 795,000 km2, the Yellow River’s main channel is 5,464 km in length with an average natural discharge of 53.48 billion m3. The Yellow River has both the highest sediment discharge and highest sediment concentration in the world. The total area of wetland in the Yellow River basin is 2.5135 Mha, primarily comprising of marsh (45.0%) and riverine wetlands (36.2%). This chapter describes the wetlands distributed in sections within the Yellow River basin, including the source and upstream, the Hetao Plain, midstream and downstream, and the Yellow River Delta. Further, the chapter identifies the challenges faced by the wetlands along the Yellow River.

ACS Style

Cui Lijuan; Zhang Manyin; Xu Weigang. Huang He (Yellow River) River Basin (China). The Wetland Book 2018, 1575 -1588.

AMA Style

Cui Lijuan, Zhang Manyin, Xu Weigang. Huang He (Yellow River) River Basin (China). The Wetland Book. 2018; ():1575-1588.

Chicago/Turabian Style

Cui Lijuan; Zhang Manyin; Xu Weigang. 2018. "Huang He (Yellow River) River Basin (China)." The Wetland Book , no. : 1575-1588.

Journal article
Published: 01 May 2018 in Ocean & Coastal Management
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Wetland ecosystem services are attracting increasing public attention. It is crucial that management decisions for wetland ecosystem services quantify the economic value of the ecosystem services. This study aimed to analyze the use of a new method that incorporated the scale and space-distance factors to evaluate the provincial scale of wetland ecosystem. We cased Coastal Wetland Ecosystem Services in Liaoning Province, China, using a Continuous Wavelet Transform-based Space-Scale Estimation Method to identify the total value and characteristic scales in the provincial areas. The result showed that the total value of the coastal wetlands in Liaoning Province in 2013 was estimated as 213 billion RMB. The characteristic scales were 8, 17, 35 and 55, which corresponded to the spatial distances of 160km, 340km, 700km and 1100km, respectively. When the wetland evaluation was up-scaled to spatial ranges of characteristic scales, its value underwent obvious changes, known as scale effects. We use the new method that incorporated the scale and space-distance factors to evaluate the provincial scale of wetland ecosystem. Understanding the scale effects and characteristic scales can provide a theoretical basis and reference for wetland evaluation on a larger scale for future research.

ACS Style

Baodi Sun; Lijuan Cui; Wei Li; XiaoMing Kang; Manyin Zhang. A Space-Scale Estimation Method based on continuous wavelet transform for coastal wetland ecosystem services in Liaoning Province, China. Ocean & Coastal Management 2018, 157, 138 -146.

AMA Style

Baodi Sun, Lijuan Cui, Wei Li, XiaoMing Kang, Manyin Zhang. A Space-Scale Estimation Method based on continuous wavelet transform for coastal wetland ecosystem services in Liaoning Province, China. Ocean & Coastal Management. 2018; 157 ():138-146.

Chicago/Turabian Style

Baodi Sun; Lijuan Cui; Wei Li; XiaoMing Kang; Manyin Zhang. 2018. "A Space-Scale Estimation Method based on continuous wavelet transform for coastal wetland ecosystem services in Liaoning Province, China." Ocean & Coastal Management 157, no. : 138-146.