Dr. Feng Shi
'%3e%3cpath%20d='M22.1642%2019.0924C21.7317%2018.068%2021.1041%2017.1375%2020.3163%2016.3527C19.5309%2015.5656%2018.6006%2014.9381%2017.5766%2014.5048C17.5674%2014.5002%2017.5582%2014.4979%2017.5491%2014.4933C18.9774%2013.4616%2019.9059%2011.7811%2019.9059%209.88504C19.9059%206.74408%2017.3611%204.19922%2014.2201%204.19922C11.0792%204.19922%208.53429%206.74408%208.53429%209.88504C8.53429%2011.7811%209.46282%2013.4616%2010.8912%2014.4956C10.882%2014.5002%2010.8728%2014.5025%2010.8636%2014.5071C9.83652%2014.9404%208.91487%2015.5617%208.1239%2016.355C7.33685%2017.1404%206.70933%2018.0707%206.276%2019.0947C5.85031%2020.0972%205.62072%2021.172%205.59967%2022.2609C5.59905%2022.2853%205.60335%2022.3097%205.61229%2022.3325C5.62123%2022.3553%205.63465%2022.376%205.65174%2022.3935C5.66883%2022.4111%205.68926%2022.425%205.71182%2022.4345C5.73437%2022.444%205.7586%2022.4489%205.78308%2022.4489H7.15868C7.25956%2022.4489%207.3398%2022.3686%207.3421%2022.2701C7.38795%2020.5001%208.09868%2018.8425%209.35506%2017.5861C10.655%2016.2862%2012.3814%2015.5709%2014.2201%2015.5709C16.0588%2015.5709%2017.7852%2016.2862%2019.0852%2017.5861C20.3415%2018.8425%2021.0523%2020.5001%2021.0981%2022.2701C21.1004%2022.3709%2021.1807%2022.4489%2021.2815%2022.4489H22.6571C22.6816%2022.4489%2022.7058%2022.444%2022.7284%2022.4345C22.751%2022.425%2022.7714%2022.4111%2022.7885%2022.3935C22.8056%2022.376%2022.819%2022.3553%2022.8279%2022.3325C22.8369%2022.3097%2022.8412%2022.2853%2022.8406%2022.2609C22.8176%2021.165%2022.5907%2020.0989%2022.1642%2019.0924ZM14.2201%2013.8284C13.1678%2013.8284%2012.1773%2013.418%2011.4322%2012.6729C10.6871%2011.9278%2010.2767%2010.9374%2010.2767%209.88504C10.2767%208.83271%2010.6871%207.84227%2011.4322%207.09715C12.1773%206.35204%2013.1678%205.94165%2014.2201%205.94165C15.2724%205.94165%2016.2629%206.35204%2017.008%207.09715C17.7531%207.84227%2018.1635%208.83271%2018.1635%209.88504C18.1635%2010.9374%2017.7531%2011.9278%2017.008%2012.6729C16.2629%2013.418%2015.2724%2013.8284%2014.2201%2013.8284Z'%20fill='%238590A2'/%3e%3c/g%3e%3c/svg%3e)
Co-authors
Following
Followers
Research Focus & Metrics
Explore full metrics on Scilit
Academic Career Length
4Years (2023-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications2 September 2023 in Science of The Total Environment
Journal Article
10 October 2024 in Urban Forestry & Urban Greening
Journal Article
9 January 2026 in Ecological Informatics
Journal Article
YZYa Zou
Ya Zou
Feng ShiJWJunsong Wang
Junsong Wang
NMNan Mo
Nan Mo
LPLan Pan
Lan Pan
QMQinglin Meng
Qinglin Meng
Journal Article
Feng ShiBLBing Li
Bing LiLPLan Pan
Lan PanRLRuiheng Lyu
Ruiheng LyuHHHaiyan Huang
Haiyan HuangFCFei Chen
Fei ChenArid and semi-arid shelterbelts must provide long-term ecological protection under chronic water scarcity, high evaporative demand, and rising salinization risk, yet management still lacks an integrated framework linking irrigation, root-zone salt dynamics, and woody plant performance. Here, we synthesize evidence on water–salt–root linkages in drip-irrigated shelterbelts and related dryland woody systems from a structured Web of Science Core Collection search (1 January 2000–1 January 2026). The evidence shows that shelterbelt performance is governed not by water or salinity alone, but by a coupled root-zone system: localized irrigation creates moisture–salt heterogeneity, salts accumulate near evaporative fronts and emitter margins, and roots redistribute depth, density, and uptake zones. In hyper-arid saline-drip systems, precipitation may be only ~24.6 to 3000–3639 mm yr−1, groundwater salinity 2.8–29.7 g L−1, active roots 20–80 cm, and salt mainly in the 0–20 cm surface layer. Irrigation thus acts as both the basis of establishment and a source of long-term vulnerability, particularly where saline groundwater or other non-conventional water sources are used. Management options can improve root-zone habitability, but shelterbelt-specific thresholds and integrated indicators remain limited. This review proposes a root-zone-centered framework supporting predictive regulation.
17 December 2025 in Building and Environment
Journal Article
23 October 2026 in Ain Shams Engineering Journal
Journal Article
Feng ShiBLBing Li
Bing Li
XDXiyang Dai
Xiyang Dai
JWJunsong Wang
Junsong Wang
QMQinglin Meng
Qinglin Meng
About Me
Dr. Feng Shi is a Lecturer and Engineer at the College of Horticulture and Forestry, Tarim University, China. He completed doctoral research training in Civil and Hydraulic Engineering at the School of Architecture, South China University of Technology (2021–2025), and holds an MSc in Landscape Architecture (Northeast Normal University, 2016). His research focuses on sustainable built environments, urban green infrastructure and microclimate regulation, and intelligent ecological regulation for arid oasis systems, with a particular emphasis on street-tree–infrastructure interactions and climate-adaptive design. He has published recent work in Science of the Total Environment (2023), Urban Forestry & Urban Greening (2024), Building and Environment (2025), and Ecological Informatics (2026), including studies on urban street-tree root conflicts, outdoor heat-risk mitigation, and calibrated smartphone AR for tree structural surveys. He has contributed to National Key R&D projects and has co-developed patents/software related to street-tree root conflict prevention, rainwater management, and root-system simulation, and participated in drafting accessibility standards for age-friendly and disability-friendly community environments. He serves as a reviewer for Ain Shams Engineering Journal and Guangdong Landscape Architecture, and is a member of the Chinese Society of Landscape Architecture and the Architectural Society of China.
Social Links
