[HTML][HTML] The contributions of natural and anthropogenic factors to NDVI variations on the Loess Plateau in China during 2000–2020

Y Zhang, X Jiang, Y Lei, S Gao - Ecological Indicators, 2022 - Elsevier
Vegetation, being a core component of ecosystems, is known to be influenced by natural
and anthropogenic factors. Studying vegetation cover dynamics variation and its drivers is …

[HTML][HTML] Analysis of the heterogeneity of landscape risk evolution and driving factors based on a combined GeoDa and Geodetector model

D Ren, A Cao - Ecological Indicators, 2022 - Elsevier
Abstract Liaoning Province, one of China's top 13 grain-producing areas, has recently
implemented various ecological construction and protection plans. To ensure regional …

[HTML][HTML] Quantitative analysis of NDVI driving factors based on the geographical detector model in the Chengdu-Chongqing region, China

Y Zhang, L Zhang, J Wang, G Dong, Y Wei - Ecological Indicators, 2023 - Elsevier
In the circumstance of global change, studying the dynamic changes of vegetation and the
factors that influence it holds immense practical significance to monitor the quality of the …

Vegetation cover change and its response to climate extremes in the Yellow River Basin

J Liu, L Wei, Z Zheng, J Du - Science of The Total Environment, 2023 - Elsevier
Extreme climate events have increased in frequency and severity under the background of
climate change, with vegetation growth exhibiting a sensitive response to them. By …

Boba shop, coffee shop, and urban vitality and development—A spatial association and temporal analysis of major cities in China from the standpoint of nighttime light

Y Zhou, X He, B Zikirya - Remote Sensing, 2023 - mdpi.com
Nighttime light (NTL) is a critical indicator of urban vitality and development. Using NTL as a
representation of urban vitality and development, the study explores how different fresh …

Quantitative analysis of natural and anthropogenic factors influencing vegetation NDVI changes in temperate drylands from a spatial stratified heterogeneity …

S Li, X Li, J Gong, D Dang, H Dou, X Lyu - Remote Sensing, 2022 - mdpi.com
The detection and attribution of vegetation dynamics in drylands is an important step for the
development of effective adaptation and mitigation strategies to combat the challenges …

Quantifying the influences of driving factors on vegetation EVI changes using structural equation model: a case study in Anhui province, China

Z Gu, Z Zhang, J Yang, L Wang - Remote Sensing, 2022 - mdpi.com
Vegetation cover is important to the stability of regional ecosystems and is a focus of
research on the relationship between natural and human environments. Although some …

[HTML][HTML] Quantitative analysis of spatiotemporal changes and driving forces of vegetation net primary productivity (NPP) in the Qimeng region of Inner Mongolia

H Xue, Y Chen, G Dong, J Li - Ecological Indicators, 2023 - Elsevier
Vegetation is an essential component of terrestrial ecosystems, and understanding the
drivers of vegetation change is of great importance for ecological management. In recent …

Characterisation of compound dry and hot events in Inner Mongolia and their relationship with large-scale circulation patterns

Y Kang, E Guo, Y Wang, Y Bao, Y Bao, N Mandula… - Journal of …, 2022 - Elsevier
In recent decades, frequent compound dry and hot events (CDHEs) have posed a great
threat to humans and the ecological environment, especially in Inner Mongolia, which has …

Quantifying the contribution of driving factors on distribution and change of net primary productivity of vegetation in the Mongolian Plateau

C Yin, X Chen, M Luo, F Meng, C Sa, S Bao, Z Yuan… - Remote Sensing, 2023 - mdpi.com
In recent years, multiple disturbances have significantly altered terrestrial ecosystems in arid
and semi-arid regions, particularly on the Mongolian Plateau (MP). Net primary productivity …