Assessing the Relative and Combined Effect of Climate and Land Use on Water-Related Ecosystem Services in the Yangtze River Economic Belt, China DOI Open Access
Yifan Wu,

Minglei Yao,

Yangbo Tang

et al.

Water, Journal Year: 2024, Volume and Issue: 16(15), P. 2126 - 2126

Published: July 26, 2024

The ecosystem service (ES) is essential for residents’ health and well-being. value (ESV) one of the measures to scientifically quantify wealth ESs. However, climate human activities intensely affect sustainability Therefore, knowing relative combined effects on ESs ESV can be crucial. This study selects Yangtze River Economic Belt (YREB) as area detect how affected ES changes during 2001–2020, including net primary productivity, water yield, soil retention, purification, integrated ESV. results show that southern YREB has relatively higher than northern YREB, except NDR-P, which mainly located in urban agglomeration area. general ranking different provinces sequenced from lower Sichuan, Yunnan, Hunan, Jiangxi, Guizhou, Hubei, Zhejiang, Anhui, Jiangsu, Chongqing, Shanghai. Specifically, Sichuan highest at about 972 billion yuan (133.57 USD), while lowest been discovered Shanghai approximately 0.25 (0.03 USD). It noticed regions where major influencing factor are concentrated upstream influence highly urbanized areas. Furthermore, account proportion (86%) synergistic Yunnan. In contrast, accounted proportions, 18%, 26%, 31%, respectively. may provide crucial insights into have changed period inform policymakers, drawing more attention inhibitory arising interaction between activities, make reliable decisions adapting crises future.

Language: Английский

From regional imbalances to latecomer advantage: Phosphorus pollution and economic development in the Yangtze economic belt DOI Creative Commons
Jincheng Li, Xinyue Zhang, Taher Kahil

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 173, P. 113423 - 113423

Published: April 1, 2025

Language: Английский

Citations

0
Incorporating Variable Source Areas into Rainfall-Runoff Pollutant Export Modeling for Rural Residential Catchment DOI
Xuan Huang, Yang Xu, Yuhang Zhang

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Characteristics of the Water Environment and the Mechanism of Nitrogen Metabolism in the Xisha River DOI Open Access
Shang Fa Yang,

Ran Wang,

Wei Zhao

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(9), P. 4060 - 4060

Published: April 30, 2025

The nitrogen cycle is the key to healthy operation of river ecosystems and plays an important role in maintaining ecological balance, purifying water quality, promoting circulation material. Xisha River was chosen as research object analyze quality condition from 2021 2023, microbial diversity metabolism, functional genes, metabolic pathways body were analyzed using macro-genomics technology. results showed that total (TN) main exceedance factor body, ammonia (NH3-N), TN, phosphorus (TP) factors affecting quality. downstream station (W2) exhibited most significant changes, while upstream (W5) highest biodiversity abundance. top five genera abundance unclassified__c__Actinomycetia, unclassified__p__Bacteroidota, Paenisporosarcina, Candidatus_Planktophila, unclassified__c__Betaproteobacteria. abundant metabolism genes K01915 (nitrate reductase), K00265 (nitrite K01673 (ammonium transporter), K00266 K02575 each contributing critical cycling processes such denitrification, nitrification, assimilation. six major denitrification (M00529), anisotropic nitrate reduction (M00528), (M00529). (M00530), complete nitrification (M00804), assimilation (M00615), methylaspartate (M00740), assimilatory (M00531). TN identified primary environmental influencing both communities genes. Co-occurrence network analysis K00459 K00261 reductase) pivotal involved metabolism. This study reveals microbial-driven lays foundation for mitigating pollution River.

Language: Английский

Citations

0
How to improve drought resilience to guarantee regional sustainable development DOI Creative Commons
Huihui Wang,

Xiaoyong Gao,

Yunsong Yang

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(19), P. e38533 - e38533

Published: Sept. 26, 2024

Language: Английский

Citations

2
Capturing the extent of climate's dynamic effects on runoff and nutrient yields across short- and long-term scales DOI Creative Commons
Di Chang, Shuo Li

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 307, P. 109231 - 109231

Published: Dec. 12, 2024

Language: Английский

Citations

1
Nitrogen and phosphorus evolution process and driving mechanisms of three major freshwater lakes with different river-lake connectivity (DRLC) in the lower reaches of the Yangtze River, the largest river in Asia DOI
Cong Wang,

Xihua Wang,

Y. Jun Xu

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144471 - 144471

Published: Dec. 1, 2024

Language: Английский

Citations

1
Assessing the Relative and Combined Effect of Climate and Land Use on Water-Related Ecosystem Services in the Yangtze River Economic Belt, China DOI Open Access
Yifan Wu,

Minglei Yao,

Yangbo Tang

et al.

Water, Journal Year: 2024, Volume and Issue: 16(15), P. 2126 - 2126

Published: July 26, 2024

The ecosystem service (ES) is essential for residents’ health and well-being. value (ESV) one of the measures to scientifically quantify wealth ESs. However, climate human activities intensely affect sustainability Therefore, knowing relative combined effects on ESs ESV can be crucial. This study selects Yangtze River Economic Belt (YREB) as area detect how affected ES changes during 2001–2020, including net primary productivity, water yield, soil retention, purification, integrated ESV. results show that southern YREB has relatively higher than northern YREB, except NDR-P, which mainly located in urban agglomeration area. general ranking different provinces sequenced from lower Sichuan, Yunnan, Hunan, Jiangxi, Guizhou, Hubei, Zhejiang, Anhui, Jiangsu, Chongqing, Shanghai. Specifically, Sichuan highest at about 972 billion yuan (133.57 USD), while lowest been discovered Shanghai approximately 0.25 (0.03 USD). It noticed regions where major influencing factor are concentrated upstream influence highly urbanized areas. Furthermore, account proportion (86%) synergistic Yunnan. In contrast, accounted proportions, 18%, 26%, 31%, respectively. may provide crucial insights into have changed period inform policymakers, drawing more attention inhibitory arising interaction between activities, make reliable decisions adapting crises future.

Language: Английский

Citations

0