Mingzhao Yu

Dr. Mingzhao Yu


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 October 2022 in Remote Sensing
Verified
Journal Article
Open access
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MYMingzhao Yu
Mingzhao Yu
SSShuai Song
Shuai Song
GHGuizhen He
Guizhen He
YSYajuan Shi
Yajuan Shi
Vegetation degeneration has become a serious ecological problem for karst regions in the Anthropocene. According to the deficiency of long serial and high-resolution analysis of karst vegetation, this paper reconstructed the variation of vegetation landscape changes from 1987 to 2020 in a typical karst region of China. Using Landsat time series data, the dynamic changes and driving factors of natural karst vegetation were identified at the landscape scale. On the premise of considering the time-lag effect, the main climatic factors that influence vegetation growth were presented at the interannual timescale. Then, the approach of residual analysis was adopted to distinguish the dominant factors affecting vegetation growth. Results of trend analysis revealed that 21.5% of the forestland showed an overall significant decline in vegetation growth, while only 1.5% showed an increase in vegetation growth during the study period. Precipitation and radiation were the dominant meteorological factors influencing vegetation at the interannual timescale, as opposed to temperature. More than 70% of the natural vegetation growth was dominated by climatic factors. The area percentage of negative human impact has increased gradually since 2009 and reached 18.5% in 2020, indicating the currently serious situation of vegetation protection; fortunately, in recent years, human disturbances on vegetation have been mitigated in karst areas with the promotion of ecological conservation and restoration projects.

23 May 2023 in Heritage
Verified
Journal Article
Open access
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GHGuizhen He
Guizhen He
MYMingzhao Yu
Mingzhao Yu
XZXiang Zhao
Xiang Zhao
Lei ZhangLei Zhang
Lei Zhang
LSLina Shen
Lina Shen
Sustaining karst landscape areas in World Heritage Sites under increasing human pressures and climate change is an emerging challenge. Growing evidence has highlighted the transition from traditional government-oriented regulation to the collaborative governance of different stakeholders in governing karst landscape resources. However, the complexity and dynamics of karst landscape policy and stakeholder networks are poorly understood. This study combined a legislative analysis, network analysis, and public survey to explore effective methods of karst landscape conservation in the Guilin World Heritage Site, China. The policy analysis showed that various national laws and local regulations have been enacted in China, but these regulations often focused on individual aspects of karst–human interactions. The network analysis indicated the complexity and relationship of networks in karst World Heritage Site governance at the national, provincial, and municipal scales. The majority of questionnaire respondents (65–89%) reported a medium and high level of karst landscape governance effectiveness. The insights in the present study may be valuable for other karst World Heritage Sites facing complex challenges, especially in developing countries.

1 April 2023 in Sustainability
Verified
Journal Article
Open access
PDF file
Chunci ChenChunci Chen
Chunci Chen
GHGuizhen He
Guizhen He
MYMingzhao Yu
Mingzhao Yu
The conservation and sustainability of the Yongding River Watershed attracted great attention as Beijing and Zhangjiakou jointly hosted the Winter Olympics in 2022. The government has implemented many management measures and restoration programs in the past decade. However, information and opinions from the public perspective were rarely considered. This paper investigates 626 residents neighboring the Yongding River Watershed through a face-to-face questionnaire survey to reveal public perceptions, attitudes, concerns, and behaviors toward sustainable watershed protection and proposes multiple regression models to explore factors affecting their concerns and behaviors. The results show that the majority of respondents (52–58%) have limited knowledge about the watershed environment, and their views are influenced by living places. More than half of the respondents (52%) believe that upstream should take responsibility for watershed protection, but 72% are not aware that upstream suffers economic restrictions. Public behaviors toward watershed protection are diverse depending on knowledge, attitudes, and concerns about the watershed environment as well as on sociodemographic background. Our results highlight that a better understanding of watershed protection can be used to foster public participation and increase support for watershed management initiatives.