Synergies and Trade-Offs among Different Ecosystem Services through the Analyses of Spatio-Temporal Changes in Beijing, China DOI Creative Commons
Qiurong Xu, Ruipeng Li, Jia Yu

et al.

Land, Journal Year: 2023, Volume and Issue: 12(5), P. 1000 - 1000

Published: May 3, 2023

Increasing global urbanization has not only resulted in economic development but it also caused a number of ecological issues, such as haze, warming, and storm surges, which can end up hindering the human society long term. One method maintaining long-term growth ecosystems is by considering ecosystem services (ES) when making decisions over land use. This study provides information to aid with decision maintenance Beijing’s ES provision Firstly, three key ES, namely, carbon storage (CS), habitat quality (HQ), water yield (WY), were evaluated InVEST model. Then, spatial patterns synergies trade-offs among at city grid scales explored through correlation coefficients analysis geographically weighted regression (GWR). Finally, strength was calculated based on root mean squared error (RMSE), potential risk areas are recognized. We discovered that (1) total decreases from 3.74 million tons 2000 3.66 2020, HQ same trend, its average value decreasing 0.72 0.67; contrast, more stable, increasing slightly 8.22 × 1010 m3 8.23 2020. (2) The spatially heterogeneous. Among them, city-level indicated synergistic relationships CS-WY WY-HQ always have trade-off level, where 37.88% 14.59% (3) At urban-rural interface, stronger than those other regions. In rural-urban areas, RMSE CS-HQ, had high values (>0.5), accounting for 16.72%, 9.33%, 26.94% entire area, respectively; these identified will be focus area future regulation. These findings provide opportunities clear promote positive synergies. addition, land-use management may use results guide service use, identify critical ensure regional sustainability urban development.

Language: Английский

The latest innovative avenues for the utilization of artificial Intelligence and big data analytics in water resource management DOI Creative Commons
Hesam Kamyab, Tayebeh Khademi, Shreeshivadasan Chelliapan

et al.

Results in Engineering, Journal Year: 2023, Volume and Issue: 20, P. 101566 - 101566

Published: Nov. 3, 2023

The effective management of water resources is essential to environmental stewardship and sustainable development. Traditional approaches resource (WRM) struggle with real-time data acquisition, analysis, intelligent decision-making. To address these challenges, innovative solutions are required. Artificial Intelligence (AI) Big Data Analytics (BDA) at the forefront have potential revolutionize way managed. This paper reviews current applications AI BDA in WRM, highlighting their capacity overcome existing limitations. It includes investigation technologies, such as machine learning deep learning, diverse quality monitoring, allocation, demand forecasting. In addition, review explores role resources, elaborating on various sources that can be used, remote sensing, IoT devices, social media. conclusion, study synthesizes key insights outlines prospective directions for leveraging optimal allocation.

Language: Английский

Citations

122
Simulating the impact of land use change on ecosystem services in agricultural production areas with multiple scenarios considering ecosystem service richness DOI
Long Jiang, Zongzhi Wang, Qiting Zuo

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 397, P. 136485 - 136485

Published: Feb. 22, 2023

Language: Английский

Citations

57
Exploring future trends of precipitation and runoff in arid regions under different scenarios based on a bias-corrected CMIP6 model DOI
Qingzheng Wang,

Yunfan Sun,

Qingyu Guan

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 630, P. 130666 - 130666

Published: Jan. 24, 2024

Language: Английский

Citations

16
Trade-offs and synergies among ecosystem services in Inland River Basins under the influence of ecological water transfer project: A case study on the Tarim River basin DOI
Kaixuan Qian, Xiaofei Ma, Wei Yan

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 908, P. 168248 - 168248

Published: Nov. 1, 2023

Language: Английский

Citations

37
Spatiotemporal heterogeneity of ecosystem service interactions and their determining thresholds across distinct climate zones in the temperate desert steppe of northern China DOI Creative Commons
Xin Li, Xiangdong Li, Xiaoqian Li

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 170, P. 113099 - 113099

Published: Jan. 1, 2025

Language: Английский

Citations

1
Past and projected future patterns of fractional vegetation coverage in China DOI

Zijie Kong,

Hongbo Ling,

Mingjiang Deng

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 902, P. 166133 - 166133

Published: Aug. 9, 2023

Language: Английский

Citations

18
Construction of green infrastructure networks based on the temporal and spatial variation characteristics of multiple ecosystem services in a city on the Tibetan Plateau: A case study in Xining, China DOI Creative Commons
Xin Zhou, Kunyuan Wanghe, Huamin Jiang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 163, P. 112139 - 112139

Published: May 17, 2024

The construction of green infrastructure networks is an effective measure to guide orderly city expansion and ensure ecological security. However, limited research has been conducted explore practical strategies for enhancing ecosystem services threatened by urban development, particularly in plateau cities with constrained natural resources. Xining, the largest most densely urbanized on Tibetan Plateau China, faces a significant conflict between service conservation that uninhabitable climate mountainous topography. It only central Plateau, population 2.47 million (2020). From 2000 2020, area expanded 37.42%; thus, reconciling escalating demand resources driven development promoting synergistic urbanization remains challenge. Here, we propose modeling framework reconstruct values using improved temporal (pi) spatial (di) difference indices, highlighting sensibility aggregation multiple services. material quantities monetary seven were estimated experimentally verified local parameters as case study Xining from 2020. network its interactions identified based reconstructed value gravity toolbox proposed our previous study. results illustrated comprised 48 sources 96 corridors, covering 162318.3 hm2; while this includes approximately one-fifth total area, but it contributes one-third overall value. priority planning areas City Master Planning (2021–2035) outlines then optimized network. Overall, these scenarios would reserve 59.3 CNY encroached sprawl. opportunity cost transferring 14.7% planned overlapping This provides distinctive example establishing spatiotemporal dynamic sensitivity strong reference sustainable conservation, cities.

Language: Английский

Citations

8
Determinants of Residents’ Willingness to Pay for Water Quality Improvements in Haikou, China: Application of CVM and ISM Approaches DOI Open Access
Qinchuan Hao, Shuting Xu,

Yu-Wei Liao

et al.

Water, Journal Year: 2023, Volume and Issue: 15(7), P. 1305 - 1305

Published: March 26, 2023

Exploring the determinants of residents’ willingness to pay (WTP) for water quality improvements is essential protecting and formulating effective governance policies. This paper applies double-bounded dichotomous contingent valuation method (CVM) determine WTP improvements, calculate average annual Haikou residents explore factors influencing improvements. Interpretive structural modeling (ISM) then used further analyze association hierarchy between factors. The results show that (1) Residents are willing an 28.42 RMB/household/year total value in at least 5.58 × 108 RMB; (2) age, education level, income minor family member government trust main significantly (p < 0.05) influence urban WTP; (3) among identified as affecting WTP, deeper root include educational attainment, ultimately, participate through indirect (government trust, presence minors). study allows in-depth detailed understanding provides a practical relevant guide tropics.

Language: Английский

Citations

14
Ecological function zoning of Nansi Lake Basin in China based on ecosystem service bundles DOI
Yingchun Liu, Yande Jing,

Shanmei Han

et al.

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(31), P. 77343 - 77357

Published: May 31, 2023

Language: Английский

Citations

14
Quantifying the effects of future environmental changes on water supply and hydropower generation benefits of cascade reservoirs in the Yellow River Basin within the framework of reservoir water supply and demand uncertainty DOI Creative Commons
Shuai Zhou, Yimin Wang, Jianxia Chang

et al.

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 52, P. 101729 - 101729

Published: March 11, 2024

Inflow and water demand prediction plays an important role in reservoir operation rulemaking. Uncertainties meteorological hydrological modeling increase the complexity of inflow prediction, which are not sufficiently considered conventional prediction. Thus, this study took cascade reservoirs as research object. These were located mainstream Yellow River Basin (YRB). A three-step framework was proposed: (1) developing a distributed Soil & Water Assessment Tool (SWAT) model to determine historical future availability reservoirs; (2) constructing AquaCrop agricultural irrigation predict users at 264 nodes (reservoirs stations) YRB; (3) optimal regulation YRB quantitively influence environmental changes on hydropower generation supply benefits reservoirs. The results indicate that increased flood season decreased significantly during non-flood compared with period (1970–2016). However, there slight demand, contradiction became more prominent between resource demand. During (2020–2050), guaranteed rate YRB's lower reaches will significantly. climate models greatly impact supply, especially season. findings can facilitate understanding management production under (inflow demand) encourage use for assessment studies adaptive mitigate change.

Language: Английский

Citations

5