Forest landscape restoration is a key factor in recovering ecological quality DOI
Xiaoyong Zhang, Weiwei Jia, Dandan Li

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144619 - 144619

Published: Dec. 1, 2024

Language: Английский

Assessment of urban flood susceptibility based on a novel integrated machine learning method DOI
Haidong Yang, Ting Zou, Biyu Liu

et al.

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 197(1)

Published: Dec. 5, 2024

Language: Английский

Citations

2
Construction of ecological security pattern of arid area based on landscape ecological risk assessment: a case study of the Wu-Chang-Shi urban agglomeration DOI

Jiayi Du,

Бо Лю,

Mengyao Jing

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(33), P. 45622 - 45635

Published: July 6, 2024

Language: Английский

Citations

1
The Spatiotemporal Differentiation Characteristics and Driving Forces of Carbon Emissions from Major Livestock Farming in the Shaanxi–Gansu–Ningxia Region DOI Creative Commons
Hao Wu,

Tongtong Shan,

Hassan Saif Khan

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(10), P. 1748 - 1748

Published: Oct. 3, 2024

Given the background of ecological fragility in western China, northward migration livestock industry, and “carbon peak” it is practically significant to discuss evolution carbon dioxide equivalent emission intensity (CEI) major (pigs, cattle sheep) rearing Shaanxi–Gansu–Ningxia (SGN) region. This discussion aims protect ecology achieve sustainable healthy development realize national goal “double carbon”. In this study, we utilized statistical data from 2010 2021 for pigs, cattle, sheep at municipal level SGN We applied methodology provided by IPCC comprehensively measure emissions (CEs), explore spatial temporal trends, analyze driving forces behind variations with assistance GeoDetector. The following conclusions were drawn: Firstly, total CEs generally exhibit fluctuating increasing patterns. Moreover, different cities (states) within region show obvious variations, a tendency shift toward north. Secondly, CEI demonstrates clear downward trend. However, exhibits heterogeneity. Furthermore, part evolving high-value areas, while eastern low-value areas. Lastly, results GeoDetector indicate that core factors are pig, structure; urban population proportion; per capita gross product. summary, amount increase, shows Therefore, recommended reduce optimizing structure sheep, promoting low-carbon consumption, moderately importing products.

Language: Английский

Citations

0
Forest landscape restoration is a key factor in recovering ecological quality DOI
Xiaoyong Zhang, Weiwei Jia, Dandan Li

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144619 - 144619

Published: Dec. 1, 2024

Language: Английский

Citations

0