Wei XIE is currently a Ph.D. candidate at Fudan University in Environmental Science. He is also a YSSP in Advancing System Analysis (ASA) program at IIASA in the year 2022. He graduated from Shandong University, China, in 2015 with a degree in Ecology. He completed his MS degree in Landscape Ecology at the Chinese Academy of Sciences (2018).
His main fields of scientific interest include land system science, urban metabolism, and industrial system analysis.
Specifically, he focuses on: 1) the land resource use and virtual flows between industrial and socio-economic systems; and 2) the interactions between natural systems and human systems linked to land use.
He is familiar with Python & R, GIS, PL/SQL, and ML skills.
Xie, W., Yang, X., Han, Z., Sun, M., Li, Y., Xie, H., Yu, H., Chen, B., Fath B., Wang, Y. (2023). Urban Sector Land Use Metabolism Reveals Inequalities and Exploitation Across Cities in Regional Network Analysis.(Preprint) http://doi.org/10.2139/ssrn.4516668
Yang, X., Lu, X., Li, N., Wang, C., Xie, W., Zhong, Q., & Liang, S. (2023). Local Full-Sector Land Uses Influenced by Multiregional Demand and Supply: The Case of Beijing. Ecosystem Health and Sustainability, 9, 0075. https://doi.org/10.34133/ehs.0075
Xie, W. (2022). Ecological network analysis of urban land resource use within China [IIASA YSSP Report]. IIASA. https://pure.iiasa.ac.at/id/eprint/18728/
Xie, W., Yu, H., Li, Y., Dai, M., Long, X., Li, N., & Wang, Y. (2022). Estimation of entity‐level land use and its application in urban sectoral land use footprint: A bottom‐up model with emerging geospatial data. Journal of Industrial Ecology, 26(1), 309–322. 🥇Nominated: 2022 Graedel Prize https://doi.org/10.1111/jiec.13191
Yu, H., Xie, W., Sun, L., & Wang, Y. (2021). Identifying the regional disparities of ecosystem services from a supply-demand perspective. Resources, Conservation and Recycling, 169, 105557. https://doi.org/10.1016/j.resconrec.2021.105557
Li, J., Sun, R., Liu, T., Xie, W., & Chen, L. (2021). Prediction models of urban heat island based on landscape patterns and anthropogenic heat dynamics. Landscape Ecology, 36(6), 1801–1815. https://doi.org/10.1007/s10980-021-01246-2
Liang, S., Yang, X., Qi, J., Wang, Y., Xie, W., Muttarak, R., & Guan, D. (2020). CO2 Emissions Embodied in International Migration from 1995 to 2015. Environmental Science & Technology, 54(19), 12530–12538. https://doi.org/10.1021/acs.est.0c04600
Long, X., Yu, H., Sun, M., Wang, X.-C., Klemeš, J. J., Xie, W., Wang, C., Li, W., & Wang, Y. (2020). Sustainability evaluation based on the Three-dimensional Ecological Footprint and Human Development Index: A case study on the four island regions in China. Journal of Environmental Management, 265, 110509. https://doi.org/10.1016/j.jenvman.2020.110509
Yu, Z., Chen, T., Yang, G., Sun, R., Xie, W., & Vejre, H. (2020). Quantifying seasonal and diurnal contributions of urban landscapes to heat energy dynamics. Applied Energy, 264, 114724. https://doi.org/10.1016/j.apenergy.2020.114724
Yu, H., Xie, W., Yang, L., Du, A., Almeida, C. M. V. B., & Wang, Y. (2020). From payments for ecosystem services to eco-compensation: Conceptual change or paradigm shift? Science of The Total Environment, 700, 134627. https://doi.org/10.1016/j.scitotenv.2019.134627
- Wang, Y., Yu, H., Wang, C., & Xie, W.. (2019). Ecological Assets Accounting and Ecological Compensation Mechanism: A Systematic Review (in Chinese). Chinese Journal of Environmental Management, 11(3), 31–35.
Xie, W. (2018). The spatial-temporal impact of landscape pattern and anthropogenic heat on Urban Heat Island [M.S. Thesis]. University of Chinese Academy of Sciences.
Sun, R., Xie, W., & Chen, L. (2018). A landscape connectivity model to quantify contributions of heat sources and sinks in urban regions. Landscape and Urban Planning, 178, 43–50. https://doi.org/10.1016/j.landurbplan.2018.05.015
International Institute for Applied Systems Analysis (IIASA)
Research Assistant - YSSP Fellow
Jun 2022 - Oct 2022 · 5 moshttps://iiasa.ac.at
Participated as a YSSP fellow in Systemic Risk and Resilience (SYRR) group, Advancing System Analysis (ASA) program at IIASA. The project aims to explore the spatial footprints, the virtual flows and the intervowen linkages of land resources related to non-agricultural economic activities in China. Multi-regional and multi-sectoral land use dataset was established, and EEIOA and ENA approaches were further used to identify the land-related connections among economic sectors and regions in China. The result shows that land resource use exhibits a high degree of spatial concentration and heterogeneity. High production-based footprints were mainly found in the east coastal provinces, with high industrial development, while high consumption-based footprint was mainly related to the provincial population. The industrially developed provinces, as the main virtual land outflow areas, also exhibit a more complex network structure, with higher total system throughflow, more resource flow pathways, longer path length, and greater circularity. Our results reveal the association between human socioeconomic activity with direct land demand and virtual land flows. It helps to understand the operation and future land demand of urban systems.
IBM China Research Laboratory
Sep 2017 - Feb 2018 · 6 mos
I involved as an intern engineer in the AI intelligent medical project at IBM China Research Laboratory. This endeavor seeks to employ Artificial Intelligence-based image recognition and semantic processing technology to create an AI-fueled medical system based on evidence-based medical experience to realize Artificial Intelligence-assisted medical assistance, such as intelligent health alerts and epidemic-informed decisions. In the project, I mainly worked on the semantic processing of evidence-based medical information, and also efforted to the construction of medical image recognition system.
Institute of Botany, Chinese Academy of Sciences
Research Assistant Intern
Jun 2014 - Aug 2014 · 3 mos
I engaged in the digital identification of biodiversity data and specimens. This project is based on the identification of current and historical biodiversity distributions using optical image processing (OCR) technology and geospatially formatted data based on text description dumps, with the ultimate goal of establishing a database of the distribution of Chinese vascular plant diversity at the county level or equivalent spatial scale based on historical documentation.
Ph.D. 2018 - presenthttps://www.fudan.edu.cn
Department of Environmental Science and Engineering, Fudan University
My main contribution is in identifying and building entity-level national land-use dataset, and further quantification of land telecouplings and network relationships. I established a land use estimation system using crowdsourced data and machine learning approach. We provide spatially explicit land use inventories at a spatial resolution of 30m for all economic sectors (42 categories). This provides potential value for related studies in industrial ecology and urban ecology, such as quantifying spatially explicit environmental impacts, bridging the gap between top-down and bottom-up statistics, exploring industrial agglomeration and economic geographic distribution, and understanding urban scaling & human mobility.
Here, I developed my understanding of industrial systems, my knowledge of industrial ecology, and sparked my interests in complexity and system science.
Skills: PL/SQL · postgis · GEE · Matlab · GIS/RS · WebDesign
Knowledge: Industrial Ecology · Environmental Accounting · Urban metabolism · System Science · Sustainable Science
Chinese Academy of Sciences
M.S. 2015 - 2018https://www.rcees.ac.cn
Research Center for Eco-Environmental Sciences, The Chinese Academy of Sciences
During my MS., I revealed how the spatial landscape pattern of anthropogenic heat and land cover influence and shape the urban thermal environment, using source-sink theory and landscape ecology theory. Beijing, one of the biggest megacities in China, was taken as the research area. A hierarchical grid system was established, and the landscape pattern was assessed within each grid. We evaluated the spatial and temporal dynamics of urban heat island intensities through time-series thermal infrared remote sensing images. Multivariate stepwise regression was used to quantify the effects of landscape composition, landscape pattern, and anthropogenic heat intensity to urban heat islands.
Here, I developed my interests and abilities in landscape ecology, urban ecology, and spatial technology.
Skills: Python · R · GIS · RS
Knowledge: Urban Ecology · Landscape Ecology · Ecosystem Services · Geographic Science
Ecology (Life Science)
B.S. 2011 - 2015https://www.sdu.edu.cn
School of Life Sciences, Shandong University
I graduated from Shandong University, China, in 2015 with a degree in Ecology. Here, I greatly developed my diverse interests, broadened my knowledge and horizon, met super awesome friends and made contributions together for the Youth Volunteer Association of the School of Life Sciences (deputy in-charge), the Computer Technology Association of the university (in-charge), and the Bulletin Board Forum website (Quan-yun-xin-sheng BBS) of the university (in-charge).
It was also here that I started my interest and research career of Ecology.
Skills: WebDesign · Linux · Computer Maintenance · Basic Coding
Knowledge: Ecology · Life Science
Scientific Community Service
- Reviewer for Journal of Cleaner Production, Journal of Industrial Ecology, Ecological Indicators, and NJAS: Impact in Agricultural and Life Sciences.