Mengxue Liu
Beijing Normal University
19 Papers
Mengxue Liu is an academic researcher from Beijing Normal University. The author has contributed to research in topics: Biology & Environmental science. The author has an hindex of 2, co-authored 3 publications.
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Papers
Integrating Land Use, Ecosystem Service, and Human Well-Being: A Systematic Review
TL;DR: Zhang et al. as discussed by the authors provide an insight into how land use/land cover changes, ecosystem services, and human well-being are linked, as well as their relationships, interacting ways, applications in solving ecological and socioeconomic problems, and reveal their future research trends.
Relationship and driving factors between urbanization and natural ecosystem health in China
TL;DR: Wang et al. as discussed by the authors evaluated the level and temporal and spatial variation of urbanization and natural ecosystem health, explored the relationships between them, and influenced the influence of urbanisation on natural ecosystems.
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Assessment of Ecosystem Services Supply and Demand (Mis)matches for Urban Ecological Management: A Case Study in the Zhengzhou-Kaifeng-Luoyang Cities
TL;DR: Zhang et al. as discussed by the authors mapped the supply, demand, and matching status of four ecosystem services (i.e., water production, carbon sequestration, food supply, and soil conservation) using biophysical models and the ArcGIS spatial analysis module within the Zhengzhou-Kaifeng-Luoyang (ZKL) urban agglomeration in 2018.
Evaluating the future terrestrial ecosystem contributions to carbon neutrality in Qinghai-Tibet Plateau
Mengxue Liu,Xiaobin Dong,Xuechao Wang,Bingyu Zhao,Weiguo Fan,He jie Wei,Peng Zhang,Ranran Liu +7 more
TL;DR: In this article , the authors presented a model for estimating the carbon budgets and contributions of ecosystems to carbon neutrality in Qinghai during 2000-2060 and showed that terrestrial ecosystem contributions to carbon neutralization are decreasing.
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An Improved Spatiotemporal Data Fusion Method Using Surface Heterogeneity Information Based on ESTARFM
TL;DR: A modified ESTARFM data fusion algorithm that integrated the surface spatial information via a statistical method was developed and the automatic selection of moving window strategy lays the foundation of automatic processing of spatiotemporal data fusion on a large scale.
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