Asymmetric effects of diurnal warming on carbon allocation to leaves of marsh wetlands on the Tibetan Plateau DOI Creative Commons
Liyuan Wu, Xiangjin Shen, Xianguo Lü

et al.

International Journal of Digital Earth, Journal Year: 2024, Volume and Issue: 17(1)

Published: Oct. 28, 2024

Using MODIS leaf area index and meteorological data from 2000 to 2020, this study analyzed the variations in carbon allocation leaves (Cleaf) of marsh during green-up period their response climate change across TP based on partial correlation linear regression analysis methods. The regionally averaged Cleaf showed an increasing trend 2020. Diurnal warming has asymmetric effects different stages period. During early period, preseason daytime temperature significantly reduced southwestern region, while night-time temperatures increased central region. late exerted positive negative regions, respectively. precipitation increases enhanced but decreased This highlights distinct impacts climatic indicates that diurnal should be considered simulations future.

Language: Английский

Soil–Plant Carbon Pool Variations Subjected to Agricultural Drainage in Xingkai Lake Wetlands DOI Open Access

Wei Wang,

Lianxi Sheng, Xiaofei Yu

et al.

Water, Journal Year: 2025, Volume and Issue: 17(1), P. 125 - 125

Published: Jan. 5, 2025

This study examines the responses of soil organic carbon (SOC) pools and their components to agricultural water drainage in paddy fields, with a focus on wetland–paddy field ecotone Xingkai Lake, transboundary lake shared by China Russia. Field investigations targeted three representative wetland vegetation types: Glyceria spiculosa (G), Phragmites australis (P), Typha orientalis (T), across durations ranging from 0 over 50 years. SOC fractions, including light fraction (LFOC), heavy (HFOC), dissolved (DOC), microbial biomass (MBC), were systematically analyzed. The results revealed that T P wetlands steadily increased duration, whereas those G exhibited fluctuating pattern. dynamics primarily driven LFOC, while MBC displayed species-specific variations. Correlation analyses structural equation modeling (SEM) demonstrated physicochemical properties, such as total nitrogen moisture content, exerted stronger influence fractions than biomass. Overall, drawdown significantly altered dynamics, distinct observed types ages. provides critical data theoretical insights for optimizing sequestration hydrological management systems.

Language: Английский

Citations

0
A comprehensive environmental index for monitoring ecological quality of typical alpine wetlands in Central Asia DOI Creative Commons
J. Zhang, Junli Li, Changming Zhu

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113216 - 113216

Published: Feb. 1, 2025

Language: Английский

Citations

0
Ecological Environmental Changes and the Impact on Alpine Wetland Spatiotemporal Differentiation in Western Sichuan DOI
Haijun Wang, Xiangdong Kong, Cuicui Jiao

et al.

Wetlands, Journal Year: 2025, Volume and Issue: 45(2)

Published: Feb. 1, 2025

Language: Английский

Citations

0
Overgrazing impacts plant species diversity in alpine wetlands indirectly by altering its environmental dependency DOI Creative Commons
Kun T. Ye, Jie Li, Zuobing Liang

et al.

Global Ecology and Conservation, Journal Year: 2025, Volume and Issue: unknown, P. e03532 - e03532

Published: March 1, 2025

Language: Английский

Citations

0
Comparison of Machine Learning and Geostatistical Methods on Mapping Soil Organic Carbon Density in Regional Croplands and Visualizing Its Location‐Specific Dominators via Interpretable Model DOI Open Access
Bifeng Hu,

Yibo Geng,

Yi Lin

et al.

Land Degradation and Development, Journal Year: 2025, Volume and Issue: unknown

Published: March 17, 2025

ABSTRACT High‐precision soil organic carbon density (SOCD) map is significant for understanding ecosystem cycles and estimating storage. However, the current mapping methods are difficult to balance accuracy interpretability, which brings great challenges of SOCD. In present research, a total 6223 samples were collected, along with data pertaining 30 environmental covariates, from agricultural land located in Poyang Lake Plain Jiangxi Province, southern China. Furthermore, ordinary kriging (OK), geographically weighted regression (GWR), random forest (RF), empirical Bayesian (EBK), three hybrid models (RF‐OK, RF‐EBK, RF‐GWR), constructed. These used SOCD (soil density) study region high resolution m. After that, shapley additive explanations (SHAP) quantify global contribution spatially identify dominant factors that influence variation. The outcomes suggested compared single geostatistics model model, RF method emerged as most effective predictive showcasing superior performance (coefficient determination ( R 2 ) = 0.44, root mean squared error (RMSE) 0.61 kg m −2 , Lin's concordance coefficient (LCCC) 0.58). Using SHAP, we found properties contributed prediction (81.67%). At pixel level, nitrogen dominated 50.33% farmland, followed by parent material (8.11%), available silicon (8.00%), annual precipitation (5.71%), remaining variables accounted less than 5.50%. summary, our offered valuable enlightenment toward achieving between interpretability digital mapping, deepened spatial variation farmland

Language: Английский

Citations

0
Multi-Scale Ecological Restoration Strategies to Enhance Water Conservation in Ruoergai on the Qinghai–Tibet Plateau DOI Creative Commons
Shiliang Liu,

Yuhong Dong,

Yongxiu Sun

et al.

Plants, Journal Year: 2025, Volume and Issue: 14(7), P. 1085 - 1085

Published: April 1, 2025

The Ruoergai Wetland is the highest and largest plateau peat swamp wetland in world, providing more than 30% of water for upper reaches Yellow River. It performs vital regulatory functions maintaining quality stability regional ecosystem River Basin. great significance to study spatial temporal variability conservation services as well ecological restoration enhancement strategies at multiple scales. Based on field research, using InVEST model, this quantitatively assessed a long period Wetland, proposing strategy improve capacity. results showed that both grassland (mainly alpine meadow with Kobresia Willd Cyperus papyrus) area exhibited degradation. proportions significantly decreased, moderately slightly decreased areas were 50.64%, 16.81%, 11.64%, respectively. There also significant changes capacity from 2020 2023, strong heterogeneity. Average per unit ranged 52.70 211.99 mm/m2, decreasing trend. However, past 10 years, soil erosion by about 4735 km2. Although situation has improved large extent, there still increasing some areas. investigation, intrinsic mechanisms wetlands elaborated, driving forces behind described, further proposed perspectives engineering measures, zoning, industrial structure.

Language: Английский

Citations

0
Effect of soil-groundwater system on migration and transformation of organochlorine pesticides: A review DOI Creative Commons

Haohao Li,

Lin Huo,

Rui Zhang

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2024, Volume and Issue: 290, P. 117564 - 117564

Published: Dec. 18, 2024

Language: Английский

Citations

2
Spatial variation of soil organic carbon density in the black soil region of Northeast China under the influence of erosion and deposition DOI
Peiyan Chen,

Yun Xie,

Xiaoyu Ren

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 143616 - 143616

Published: Sept. 1, 2024

Language: Английский

Citations

0
Dynamic Changes in and Driving Factors of Soil Organic Carbon in China from 2001 to 2020 DOI Creative Commons
Fuyan Zou,

Min Yan,

Liankai Zhang

et al.

Land, Journal Year: 2024, Volume and Issue: 13(11), P. 1764 - 1764

Published: Oct. 27, 2024

It remains unclear what changes have occurred in the distribution pattern of and trend soil organic carbon (SOC) China against background climate land use change. Clarifying dynamic SOC their driving factors different regions is therefore crucial for assessing global cycle. In this study, we collected supplemented a large amount density (SOCD) data from 2001 to 2020 extracted on environmental covariates (ECs) corresponding years. A random forest model was used estimate SOCD at depth 0–20 cm 0–100 years 2001, 2005, 2010, 2015, 2020, explored key factors. The results showed following: (1) Compared with previous studies, predictive ability greatly improved; coefficient determination (R2) 0.61 Lin’s concordance correlation (LCCC) =0.76. (2) From China’s stocks (SOCS) were 38.11, 39.11, 39.88, 40.16, 41.12 Pg C 110.49, 112.67, 112.80, 113.06, 114.96 depth, respectively. (3) effects temperature precipitation obvious regional variability, had mainly positive all China, which related large-scale implementation ecological protection restoration policy returning farmland forests grasslands China. This study provides strong scientific support addressing change rationalizing resources.

Language: Английский

Citations

0
Asymmetric effects of diurnal warming on carbon allocation to leaves of marsh wetlands on the Tibetan Plateau DOI Creative Commons
Liyuan Wu, Xiangjin Shen, Xianguo Lü

et al.

International Journal of Digital Earth, Journal Year: 2024, Volume and Issue: 17(1)

Published: Oct. 28, 2024

Using MODIS leaf area index and meteorological data from 2000 to 2020, this study analyzed the variations in carbon allocation leaves (Cleaf) of marsh during green-up period their response climate change across TP based on partial correlation linear regression analysis methods. The regionally averaged Cleaf showed an increasing trend 2020. Diurnal warming has asymmetric effects different stages period. During early period, preseason daytime temperature significantly reduced southwestern region, while night-time temperatures increased central region. late exerted positive negative regions, respectively. precipitation increases enhanced but decreased This highlights distinct impacts climatic indicates that diurnal should be considered simulations future.

Language: Английский

Citations

0