Our People
Nezha Acil
Research Associate
EO Data-Model Evaluation
Research interests
My research interests revolve around Earth Observation, geocomputation, landscape ecology and forest conservation. Current focus is on studying global forest dynamics as captured by satellite remote sensing. This includes building/validating/calibrating biomass models, attributing disturbance agents and characterising patterns of changes and their drivers over time, space and across scales. Results will contribute to more accurate and detailed estimations of carbon emissions and more reliable simulations of forest dynamics and the carbon cycle under future climate scenarios.
Recent publications
Characterising space-based aboveground biomass change: from global to local. 2025-01-20
DOI: https://doi.org/10.5194/egusphere-egu24-21672
Landscape patterns in stand-replacing disturbances across the world’s forests. 2024-11-15
DOI: https://doi.org/10.1038/s41893-024-01450-3
Mapping multi-dimensional variability in water stress strategies across temperate forests. 2024-10-16
DOI: https://doi.org/10.1038/s41467-024-53160-1
Global trends in remotely-sensed aboveground biomass between 2015 and 2021. 2024-09-12
A global map of disturbance patterns across the world’s forests. 2024-06-28
Patch metrics and landscape patterns of forest disturbances at the beginning of the 20th Century. 2023-11-11
DOI: https://doi.org/10.5281/ZENODO.10108963
Global mangrove root production, its controls and roles in the blue carbon budget of mangroves. 2023-06
DOI: https://doi.org/10.1111/gcb.16701
Mapping storm damage across the world’s forests. 2023-05-15
DOI: https://doi.org/10.5194/egusphere-egu23-9939
Leveraging global Earth Observation data and high-performance computing systems for characterising global forest disturbances. 2022-09-07
A climate risk analysis of Earth’s forests in the 21st century. 2022-09-02
DOI: https://doi.org/10.1126/science.abp9723
Characterising the structure of wind-related forest disturbances across the world. 2022-09-02
https://www.forestsat.com/2022
Implications of forest definition for quantifying disturbance regime characteristics in Mediterranean forests. 2022-05
https://programme.wfc2021korea.org/en/session/c872bfaa-a9c1-ec11-997e-a04a5e7cf9dc
Remotely sensed quantification of non-fire-related disturbances and their contribution to global forest dynamics. 2021-03-04
DOI: https://doi.org/10.5194/egusphere-egu21-9349
Humans asymmetrically amplify and homogenise forest disturbance rates across biomes. 2021
https://agu.confex.com/agu/fm21/meetingapp.cgi/Paper/919456
Estimation of the allergenic potential of urban trees and urban parks: Towards the healthy design of urban green spaces of the future. 2019
http://www.scopus.com/inward/record.url?eid=2-s2.0-85064986752&partnerID=MN8TOARS
State of Mediterranean Forests 2018. 2018
ISBN: https://www.worldcat.org/isbn/9789251310472
Remote sensing-based monitoring of snow cover dynamics and its influence on vegetation growth in the Middle Atlas Mountains. 2016-10-07
http://lup.lub.lu.se/student-papers/record/8893147
Changes in woody species richness along an urban-rural gradient in the semi-natural forest of Benslimane, Morocco. 2015
Contact details
University of Leicester
N/A
n.acil@leicester.ac.uk