Multidimensional ecosystem assessment of Poyang Lake under anthropogenic influences

Meng, Jianan; Fang, Hongwei; Huang, Lei; He, Guojian; Liu, Xiaobo; Chun, Xu; Wu, Xinghua; Scavia, Donald

doi:10.1016/j.ecolmodel.2022.110134

Cited by 12 publications

(3 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results of the study indicate that the overall RESV in PLA shows a decreasing trend during the period of 2000-2020, which is similar to the relevant studies (Dai et al, 2020;Meng et al, 2022). This can be attributed to the disturbance of the ecosystem by production and living activities in the lake area, such as increasing eutrophication and reducing biodiversity (Meng et al, 2022). In comparison with similar studies, this study characterizes the value of ecosystem regulation services in different circles of the lake region in terms of regional heterogeneity.…”

Section: The Lake Affects the Provision Of Resv In The Surrounding Areasupporting

confidence: 88%

Spatio-temporal evolution and driving factors of regulating ecosystem service value: a case study of Poyang Lake Area, China

Liu,

Huang,

Liu

et al. 2024

Front. Ecol. Evol.

View full text Add to dashboard Cite

Clarifying the driving mechanisms of spatial and temporal changes in the regulating ecosystem service value (RESV) is an important part of realizing the goal of sustainable development. Existing studies have focused on specific factors, ignoring the complex interactions between factors and their regional differences. In this regard, the spatial and temporal changes of RESV and its driving mechanisms in the different zones (core area, fringe area, and peripheral area) were explored in the Poyang Lake Area, China. The results showed that RESV spatially showed the distribution characteristics of fringe area > core area > peripheral area, while the lakes influenced the provision of regulating ecosystem services, showing that RESV per unit area was higher in the core area, and gradually declined with the increase of distance from the lakes, presenting the decreasing trend of fringe area > peripheral area. From 2000 to 2020, the study area lost 70.5988 billion CNY for RESV, in which the core area was the most affected. Further analysis of the driving mechanism of RESV in different areas found that there are regional differences in the paths of the driving factors: Population density mainly affects the core area, precipitation mainly affects the fringe area, and GDP per land mainly affects the peripheral area.

show abstract

Section: The Lake Affects the Provision Of Resv In The Surrounding Areasupporting

confidence: 88%

Spatio-temporal evolution and driving factors of regulating ecosystem service value: a case study of Poyang Lake Area, China

Liu,

Huang,

Liu

et al. 2024

Front. Ecol. Evol.

View full text Add to dashboard Cite

show abstract

“…For example, while precipitation holds the second‐highest importance in the SVM model, it is less crucial in the MLR model. Such variations are expected due to the distinct structures of ML models, leading them to select features using different strategies (Meng et al., 2022).…”

Section: Resultsmentioning

confidence: 99%

Hybrid Theory‐Guided Data Driven Framework for Calculating Irrigation Water Use of Three Staple Cereal Crops in China

Bo,

Li,

Liu

et al. 2024

Water Resources Research

View full text Add to dashboard Cite

Current irrigation water use (IWU) estimation methods confront uncertainties warranting further attention, primarily stemming from constraints within model structure and data quality. This study proposes a hybrid framework that integrates multiple machine learning (ML) methods with theory‐guided strategies to calculate IWU for three principal cereal crops within the Chinese agricultural landscape. We generated high resolution time series data sets of evapotranspiration and surface soil moisture (SM) using remote sensing resources. ML techniques, along with the Bayesian three‐cornered hat ensemble, were employed to drive multiple remote sensing‐derived data sets in IWU calculation. We applied two theory‐guided mechanisms to quantify irrigation signals: first, converting original SM values into logarithmic terms, and second, extracting process‐based SM residuals. Proposed framework has been validated at 12 field stations across China, yielding coefficient of determination (R2) ranging from 0.54 to 0.70, and root mean square error (RMSE) spanning 278–335 mm/yr. Our framework demonstrates considerable strength in IWU estimation when compared to reported IWU values form 341 cities across China. Specifically, for rice, wheat, and maize, the R2 values range from 0.78 to 0.83, 0.68 to 0.76, and 0.53 to 0.64, respectively, with corresponding RMSE measuring 0.22–0.25, 0.10–0.12, and 0.11–0.13 km3/yr, respectively. These findings highlight the effectiveness of theory‐guided strategies in discerning irrigation‐related information, thereby improving overall model performance. Attention should be directed toward the uncertainties in evapotranspiration and precipitation products on model performance, which remained modest, with a relative change of less than 5%.

show abstract

“…Rapidly changing hydrodynamic conditions and the frequent exchange of water and sediment fluxes have made the P cycling mechanisms at the water–sediment interface in Poyang Lake even more complex . Recent quality assessments on Poyang Lake’s water and sediment primarily focused on hydrology, − water quality, and silt, Few studies have reported on the multimedium transfer and transformation of complex P forms in the overlying water-interstitial, water–sediment phases . Additionally, the quality of previous studies is limited due to their focus on specific P forms and their use of limited sampling points and sample sizes.…”

Section: Introductionmentioning

confidence: 99%

The Forms of Phosphorus in Sediments of Large Lakes (Poyang Lake) and Its Impact on Endogenous Release

Liu,

Xiao,

Yin

et al. 2024

ACS EST Water

View full text Add to dashboard Cite

The release and retention of phosphorus (P) in sediments play a crucial role in determining whole-system P dynamics and balance in eutrophic lakes. Using Poyang Lake (China's largest freshwater lake) as a subject for a case study, we performed field investigations and collected data on specific P forms in the overlying water, interstitial water, and sediment phases. The vertical concentration variations of the aforementioned P forms in the columnar sediment of Poyang Lake reflect distinct surface enrichment characteristics, primarily attributed to external P inputs. The average flux of dissolved total P at the monitored sites was 0.49 mg/(m 2 •d), and the estimated P release from Poyang Lake to the overlying water was 447.13−587.7 t/a, which is comparable to the release from typical eutrophic lakes in China. Sediment P release serves as a significant P source for interstitial water and plays a crucial role in the upward release of dissolved IP (interstitial water) from the overlying water. Fe−P (accounting for 47.07% of TP) is the P form in Poyang Lake sediments that is most involved in the migration and transformation process, with a large amount of activated P being transformed into Fe−P and released into the overlying water.

show abstract

Multidimensional ecosystem assessment of Poyang Lake under anthropogenic influences

Cited by 12 publications

References 42 publications

Spatio-temporal evolution and driving factors of regulating ecosystem service value: a case study of Poyang Lake Area, China

Spatio-temporal evolution and driving factors of regulating ecosystem service value: a case study of Poyang Lake Area, China

Hybrid Theory‐Guided Data Driven Framework for Calculating Irrigation Water Use of Three Staple Cereal Crops in China

The Forms of Phosphorus in Sediments of Large Lakes (Poyang Lake) and Its Impact on Endogenous Release

Contact Info

Product

Resources

About