吴宇凡

Yufan Wu

Ph.D. Candidate · College of Public Administration · Nanjing Agricultural University

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SCI/SSCI Papers
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Latest Publication

About Me

I am a Ph.D. candidate in Land Resource Management at the College of Public Administration, Nanjing Agricultural University, China.


My research explores the ecological consequences of global economic activities — particularly how foreign direct investment and land use change reshape ecosystem services across scales. I combine remote sensing, GIS, spatial econometrics, and ecosystem modeling to address these questions.


Previously, my work focused on land use dynamics and habitat quality modeling in the Guangdong–Hong Kong–Macao Greater Bay Area, using PLUS, InVEST, and multi-source remote sensing data.

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Nanjing Agricultural University

Ph.D. in Land Resource Management

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Core Focus

Ecosystem Services & Environmental Impact

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Scale

Regional to Global Analysis (62+ countries)

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Methods

GIS · Remote Sensing · Econometrics

Research Interests

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Ecosystem Services Assessment

Quantifying the spatial-temporal dynamics of ecosystem services — habitat quality, carbon storage, water yield — at regional to global scales.

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Land Use / Land Cover Change

Satellite-based monitoring, multi-scenario simulation (PLUS model), and ecological impact assessment of land use transitions.

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FDI & Environmental Externalities

Evaluating the heterogeneous environmental effects of foreign direct investment across 62 countries globally.

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Habitat Quality Modeling

Coupling LULCC simulation with InVEST for multi-scenario habitat quality prediction and ecological risk assessment.

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Geospatial Data Science

Leveraging satellite imagery (Landsat, MODIS), GIS, and spatial statistics for large-scale environmental research.

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Spatial Econometrics

Applying panel data models, System GMM, and causal inference methods to environmental-economic questions.

Publications

📖 Full list & citations → Google Scholar
2025
Foreign direct investment exerts heterogeneous impacts on the global ecosystem services values: Evidence from 62 countries globally
Wu, Y., Wu, W., Tian, S., Li, K., Li, Z., & Li, L. · Environmental Impact Assessment Review, 115, 107973
DOI ↗
2024
Research on the evolution characteristics, driving mechanisms and multi-scenario simulation of habitat quality in the Guangdong–Hong Kong–Macao Greater Bay Area based on multi-model coupling
Wu, Y. et al. · Science of the Total Environment, 171263
DOI ↗
2023
The evolution characteristics and driving mechanism of urban construction land in Hong Kong since 1972
Wu, Y. et al. · Applied Sciences, 13(4), 2565
DOI ↗
Habitat quality evolution characteristics and multi-scenario prediction in Shenzhen based on PLUS and InVEST models
Wu, Y. et al. · Frontiers in Environmental Science, 11, 1146347
DOI ↗
1986年以来珠海市海岛海岸线变迁特征与驱动因素
吴宇凡 等 · 热带地理, 43(10)
DOI ↗
1985年以来粤港澳大湾区地表水体时空演变特征与驱动因素
吴宇凡 等 · 热带地理, 43(6)
DOI ↗
2024
The evolution characteristics of lakes in the Guangdong–Hong Kong–Macao Greater Bay Area based on Landsat data
Wu, Y. et al. · Proceedings of SPIE
DOI ↗

Skills & Tools

💻 Programming

PythonStataRMATLABJavaScript

🗺️ Geospatial & RS

ArcGIS ProQGISGoogle Earth EngineENVI

📊 Python Ecosystem

pandasgeopandasrasterioxarraymatplotlibseaborn

🔬 Ecosystem Modeling

InVESTPLUSSystem GMMPanel Econometrics

🛰️ Data Sources

FAOSTATMODISLandsatSRTMWorld Bank WDI

🔧 Other

GitLaTeXGephiJupyter

Contact

I am open to collaborations on ecosystem services research, land use modeling, and environmental impact assessment.