Characterizing molecular fingerprint of dissolved organic matter shaped by natural and anthropogenic factors in a large macrophytic shallow lake wetland DOI

Shengwu Yuan,

Yiping Xu, Pengfei Wang

et al.

Frontiers of Environmental Science & Engineering, Journal Year: 2024, Volume and Issue: 19(3)

Published: Dec. 23, 2024

Language: Английский

Multi-Scenario Simulation of Land Use Change and Ecosystem Service Value Based on the Markov–FLUS Model in Ezhou City, China DOI Open Access
Maomao Zhang, Enqing Chen, Cheng Zhang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(14), P. 6237 - 6237

Published: July 22, 2024

Changes in land use patterns, types, and intensities significantly impact ecosystem services. This study follows the time series logic from history to expected future investigate spatial temporal characteristics of changes Ezhou their potential impacts on services value (ESV). The results show that Markov–FLUS model has strong applicability predicting pattern use, with a Kappa coefficient 0.9433 FoM 0.1080. Between 2000 2020, construction expanded continuously, while water area remained relatively stable, other types experienced varying degrees contraction. Notably, compared 2000, it by 70.99% 2020. Moreover, watershed 9.30% 2010, but there was very little change following 10 years. Under three scenarios, significant differences were observed City, driven human activities, particularly expansion land. In inertial development scenario, 313.39 km2 2030, representing 38.30% increase Conversely, under farmland protection increased 237.66 km2, 4.89% rise However, ecological priority 253.59 10.13% Compared ESV losses inertia scenarios USD 4497.71 1072.23, respectively, 2030. scenario 2749.09, emphasizing importance prioritizing City’s development. may provide new clues for formulation regional strategies sustainable restoration.

Language: Английский

Citations

32

Ecological restoration zoning of territorial space in China: An ecosystem health perspective DOI
Wanxu Chen, Tianci Gu,

Jingwei Xiang

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 364, P. 121371 - 121371

Published: June 15, 2024

Language: Английский

Citations

24

Detection of long-term land use and ecosystem services dynamics in the Loess Hilly-Gully region based on artificial intelligence and multiple models DOI
Yansui Liu, Xinxin Huang, Yaqun Liu

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 447, P. 141560 - 141560

Published: Feb. 29, 2024

Language: Английский

Citations

16

Characterizing the water resource-environment-ecology system harmony in Chinese cities using integrated datasets: A Beautiful China perspective assessment DOI
Yang Guan, Xiao Yang,

Ren Niu

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 921, P. 171094 - 171094

Published: Feb. 21, 2024

Language: Английский

Citations

10

Internal loading regulates the phosphorus concentration in a diversion input shallow lake in the semi-humid region of North China: Differentiated processes in littoral wetland and open water areas DOI
Xu He, Wenxuan Han, Qiuyu Chen

et al.

Water Research, Journal Year: 2024, Volume and Issue: 257, P. 121680 - 121680

Published: April 26, 2024

Language: Английский

Citations

9

Estimating the Past and Future Trajectory of LUCC on Wetland Ecosystem Service Values in the Yellow River Delta Region of China DOI Open Access
Zhiyi Zhang, Liusheng Han, Zhaohui Feng

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(2), P. 619 - 619

Published: Jan. 10, 2024

Land use/cover change (LUCC) can impact the provision of ecosystem service values (ESVs), particularly in wetland regions that are subject to frequent and unsustainable land conversions. Exploring past future trajectory LUCC its effects on ESV has a great significance for management habitat stability. This study tried reveal patterns magnitude under varying development scenarios Yellow River Delta region, which is typical region undergoing serious degradation China. In this study, combined approach utilizing equivalent coefficients services was employed determine relation major use types (LUTs). The Markov–FLUS model then used simulate LUTs across multiple 2030 clarify relationship between other LUTs. results indicated severely degraded, with loss area 6679.89 ha 2000 2020. Cropland water body were main sources diversion turnover wetland, respectively. Despite scenario projections revealed, exhibited similar growth rate homogeneity natural (ND), urban construction (UCD), ecological (ED) scenarios. ED deemed optimal strategy ecosystem. Our research will improve comprehension decisions promote sustainable estuarine areas.

Language: Английский

Citations

7

An integrated framework consisting of spatiotemporal evolution and driving force analyses for early warning management of water quality DOI

Jianying Cai,

Xuan Wang, Yanpeng Cai

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 462, P. 142628 - 142628

Published: May 19, 2024

Language: Английский

Citations

7

Dynamic Simulation of Land Use and Habitat Quality Assessment in Baiyangdian Basin Using the SD-PLUS Coupled Model DOI Open Access
Zhen Han, Budong Li,

Zepeng Han

et al.

Water, Journal Year: 2024, Volume and Issue: 16(5), P. 678 - 678

Published: Feb. 26, 2024

The physical foundation and environmental assurance provided by the regional habitat are crucial for survival sustainable development of organisms. Land use change, as a significant manifestation human activity, is factor in quality. An SD-PLUS coupled model was developed to simulate land change Baiyangdian(BYD) Basin using data on use, socio-economic factors, climatic environment from 2000 2020. InVEST employed assess quality basin 2050. findings indicated following: Between 2020 2050, predominant changes across three scenarios involve conversion farmland construction grassland woodland. magnitude these steadily declines over time. all kinds greater under SSP5 compared SSP1 SSP2. movement grades primarily occurred higher lower grades. In projected improve different scenarios. highest improvement expected with 0.60% increase, followed SSP2 0.42% increase smallest 0.23%.

Language: Английский

Citations

6

Ecosystems resilience assessment of forest and grassland subjected to ecological drought DOI Creative Commons

Yu Han,

Yanping Qu, Tianliang Jiang

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 173, P. 113437 - 113437

Published: April 1, 2025

Language: Английский

Citations

0

Diversified physical and virtual water flows in affecting water scarcity in the Beijing-Tianjin-Hebei region, China DOI
Yuqin Li, Lixiao Zhang, Zhimin Shi

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102369 - 102369

Published: April 8, 2025

Language: Английский

Citations

0