Significant spatiotemporal variability of nitrous oxide emissions from a temperate reservoir experiencing intensive aquaculture disturbance

Yang, Fanyan; Sun, Chuanzhe; Wang, Hongwei; Hu, Xiaokang; Wang, Shaoming; Zhang, Min; Zhang, Lei; Zhong, Jicheng

doi:10.1016/j.agee.2023.108427

Cited by 7 publications

(4 citation statements)

References 73 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…N 2 O emissions also show a consistent temporal pattern with the highest emissions during summer, at least in subtropical reservoirs (Zhu et al 2013;Musenze et al 2014;Yang et al 2023). However, this pattern can be modified by other factors such as dissolved oxygen concentrations, since high dissolved oxygen concentrations can inhibit denitrification and stimulate nitrification (Zhao et al 2013;Yang et al 2023). Furthermore, N 2 O emissions may also be influenced by the availability of nutrients and organic matter.…”

mentioning

confidence: 55%

“…Surprisingly, we did not find a significant relationship between the N 2 O emissions and nitrate and these emissions decreased with increases of GPP. Previous studies have also shown positive relationships between N 2 O emissions and temperature (Zhu et al 2013;Musenze et al 2014;Xiao et al 2019;Yang et al 2023) associated with increased microbial activity. An increment in wind speed also stimulates the transference of N 2 O to the atmosphere.…”

Section: Resultsmentioning

confidence: 82%

See 1 more Smart Citation

Idiosyncratic phenology of greenhouse gas emissions in a Mediterranean reservoir

Rodríguez‐Velasco,

Peralta‐Maraver,

Martínez‐García

et al. 2024

Limnol Oceanogr Letters

View full text Add to dashboard Cite

Extreme hydrological and thermal regimes characterize the Mediterranean zone and can influence the phenology of greenhouse gas (GHG) emissions in reservoirs. Our study examined the seasonal changes in GHG emissions of a shallow, eutrophic, hardwater reservoir in Spain. We observed distinctive seasonal patterns for each gas. CH4 emissions substantially increased during stratification, influenced predominantly by the increase in water temperature, net ecosystem production, and the decline in reservoir mean depth. N2O emissions mirrored CH4's seasonal trend, significantly correlating to water temperature, wind speed, and gross primary production. Conversely, CO2 emissions decreased during stratification and displayed a quadratic, rather than a linear relationship with water temperature—an unexpected deviation from CH4 and N2O emission patterns—likely associated with photosynthetic uptake of bicarbonate and formation of intracellular calcite that might be exported to sediments. This investigation highlights the imperative of integrating these idiosyncratic patterns into GHG emissions models, enhancing their predictive power.

show abstract

mentioning

confidence: 55%

Section: Resultsmentioning

confidence: 82%

Idiosyncratic phenology of greenhouse gas emissions in a Mediterranean reservoir

Rodríguez‐Velasco,

Peralta‐Maraver,

Martínez‐García

et al. 2024

Limnol Oceanogr Letters

View full text Add to dashboard Cite

show abstract

“…Human activities affect algal outbreaks in Yuqiao Reservoir mainly through various types of pollution [55]. On the one hand, the Panjiakou Reservoir upstream of Yuqiao Reservoir has been vigorously developing fish cage culture [30]; it was initially restricted to the inlet of the upper Panjiakou Reservoir in the late 1980s. The scale of fish farming was expanded in the early 1990s.…”

Section: Human Factors Influencing the Spatial And Temporal Variation...mentioning

confidence: 99%

“…The Landsat series of satellite images are the best choice for extracting ABs, due to the long-term archive dating back to 1984, moderate spatial resolution (30 m), and spectral bands covering from visible to short-wave infrared [30]. The main objectives of this study are: (1) to develop a method for identifying ABs in eutrophic shallow lakes based on longterm Landsat images and to evaluate the performance of the method using a high-resolution image; (2) to apply the method to Yuqiao Reservoir to quantify the spatial distribution and temporal variation of ABs from 1984 to 2022; and (3) to analyze the influencing factors.…”

Section: Introductionmentioning

confidence: 99%

Mapping Algal Blooms in Aquatic Ecosystems Using Long-Term Landsat Data: A Case Study of Yuqiao Reservoir from 1984–2022

Liu,

Ding,

Han

et al. 2023

Remote Sensing

View full text Add to dashboard Cite

Water eutrophication poses a dual threat to ecological and human well-being. Gaining insight into the intricate dynamics of phytoplankton bloom phenology holds paramount importance in comprehending the complexities of aquatic ecosystems. Remote sensing technologies have gained attention for mapping algal blooms (ABs) effectively, but distinguishing them from aquatic vegetation (AV) remains challenging due to their similar spectral characteristics. To address this issue, we propose a meticulous three-step methodology for AB mapping employing long-term Landsat imagery. Initially, a multi-index decision tree model (DTM) is deployed to identify the vegetation signal (VS) encompassing both AV and ABs. Subsequently, the annual maximum growth range of AV is precisely delineated using vegetation presence frequency (VPF) in conjunction with normal and low water level imagery. Lastly, ABs are accurately extracted by inversely intersecting VS and AV. The performance of our approach is thoroughly validated using the interclass correlation coefficient (ICC) based on a Gaofen-2 Panchromatic Multi-spectral (GF-2 PMS) image, demonstrating strong consistency with notable values of 0.822 longitudinally, 0.771 latitudinally, and 0.797 overall. The method is applied to Landsat images from 1984 to 2022 to quantify the spatial distribution and temporal variations of ABs in Yuqiao Reservoir—a significant national water body spanning a vast area of 135 km2 in China. Our findings reveal a pervasive and uneven dispersion of ABs, predominantly concentrated in the northern sector. Notably, the intensity of ABs experienced an initial surge from 1984 to 2008, followed by a subsequent decline from 2014 to 2022. Importantly, anthropogenic activities, such as fish cage culture, alongside pollution stemming from nearby industrial and agricultural sources, exert a profound influence on the dynamics of water eutrophication. Fortunately, governmental initiatives focused on water purification exhibit commendable efficacy in mitigating the ecological burden on reservoirs and upholding water quality. The methodological framework presented in this study boasts remarkable precision in AB extraction and exhibits considerable potential in addressing the needs of aquatic ecosystems.

show abstract

Significant diurnal variations in nitrous oxide (N2O) emissions from two contrasting habitats in a large eutrophic lake (Lake Taihu, China)

Yang,

Zheng,

Wang

et al. 2024

Environmental Research

View full text Add to dashboard Cite

Significant spatiotemporal variability of nitrous oxide emissions from a temperate reservoir experiencing intensive aquaculture disturbance

Cited by 7 publications

References 73 publications

Idiosyncratic phenology of greenhouse gas emissions in a Mediterranean reservoir

Idiosyncratic phenology of greenhouse gas emissions in a Mediterranean reservoir

Mapping Algal Blooms in Aquatic Ecosystems Using Long-Term Landsat Data: A Case Study of Yuqiao Reservoir from 1984–2022

Significant diurnal variations in nitrous oxide (N2O) emissions from two contrasting habitats in a large eutrophic lake (Lake Taihu, China)

Contact Info

Product

Resources

About