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Xunqiang Mo
Researcher at Tianjin Normal University
Publications - 15
Citations - 273
Xunqiang Mo is an academic researcher from Tianjin Normal University. The author has contributed to research in topics: Environmental science & Biology. The author has an hindex of 4, co-authored 6 publications receiving 151 citations.
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Status of wetlands in China: A review of extent, degradation, issues and recommendations for improvement
TL;DR: Wang et al. as mentioned in this paper reviewed the current status of wetland resources and the impact factors of degradation were discussed, and some key recommendations for improving wetland protection and management for China were given, including: improve special laws and regulations regarding wetlands, establish specialized management agencies; strengthen wetlands research and monitoring; and enhance public wetland conservation awareness.
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Temporal-spatial variations and driving factors analysis of coastal reclamation in China
Weiqing Meng,Beibei Hu,Mengxuan He,Baiqiao Liu,Xunqiang Mo,Hongyuan Li,Zhong-Liang Wang,Yu Zhang +7 more
TL;DR: Zhang et al. as mentioned in this paper analyzed the coastal reclamation status of China from 1979 to 2014 and analyzed its driving factors for mitigating negative ecological effects, including loss of marine habitats and deterioration of coastal water quality.
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Is urban green space a carbon sink or source? - A case study of China based on LCA method
TL;DR: In this article , the carbon balance of urban green spaces (UGS) in China was analyzed using field surveys, interviews and model simulation over a 50-year time period, and carbon sequestration and emissions of four green spaces in China were evaluated to determine how factors influence the carbon imbalance.
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Temporal-spatial change of China's coastal ecosystems health and driving factors analysis.
Wen-Juan Xu,Mengxuan He,Weiqing Meng,Yong Zhang,Haofan Yun,Yalan Lu,Zhiwei Huang,Xunqiang Mo,Beibei Hu,Baiqiao Liu,Hongyuan Li +10 more
TL;DR: Wang et al. as discussed by the authors used the Vigor-Organization-Resilience-Services (VORS) model and marine ecosystem health index to diagnose the ecosystem health of the whole coastal area of China over the last 20 years, and find the main contributing factors affecting ecosystem health with the help of geographic detectors and geographic weighted regression analysis.
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Optimization of application parameters of soil seed bank in vegetation recovery via response surface methodology
TL;DR: Among all the parameters, the thickness of surface soil was the most important one, which had the steepest curve and the largest standardized coefficient, and was selected as the optimal model and optimal level of each parameter.