Understanding Tree Mortality Patterns: A Comprehensive Review of Remote Sensing and Meteorological Ground-Based Studies

Author:

Eliades Filippos12ORCID,Sarris Dimitrios34,Bachofer Felix5ORCID,Michaelides Silas2ORCID,Hadjimitsis Diofantos12

Affiliation:

1. Department of Civil Engineering and Geomatics, Remote Sensing and GeoEnvironment Lab, Cyprus University of Technology, Limassol 3036, Cyprus

2. Eratosthenes Centre of Excellence, Limassol 3012, Cyprus

3. KES Research Centre, Nicosia 1055, Cyprus

4. KES College, Nicosia 1055, Cyprus

5. Earth Observation Center (EOC), German Aerospace Center (DLR), 82234 Wessling, Germany

Abstract

Land degradation, desertification and tree mortality related to global climate change have been in the spotlight of remote sensing research in recent decades since extreme climatic events could affect the composition, structure, and biogeography of forests. However, the complexity of tree mortality processes requires a holistic approach. Herein, we present the first global assessment and a historical perspective of forest tree mortality by reviewing both remote sensing and meteorological ground-based studies. We compiled 254 papers on tree mortality that make use of remotely sensed products, meteorological ground-based monitoring, and climatic drivers, focusing on their spatial and temporal patterns and the methods applied while highlighting research gaps. Our core results indicate that international publications on tree mortality are on the increase, with the main hotspots being North America (39%) and Europe (26%). Wetness indicators appear as the barometer in explaining tree mortality at a local scale, while vegetation indicators derived from multispectral optical sensors are promising for large-scale assessments. We observed that almost all of the studies we reviewed were based on less than 25 years of data and were at the local scale. Longer timeframes and regional scale investigations that will include multiple tree species analysis could have a significant impact on future research.

Funder

‘EXCELSIOR’ project

Publisher

MDPI AG

Reference133 articles.

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2. Alisher Mirzabaev, J.W. (2024, July 24). Desertification. [Cited 27 December 2022]. Available online: https://www.ipcc.ch/site/assets/uploads/sites/4/2019/11/06_Chapter-3.pdf.

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4. Monitoring responses of vegetation phenology and productivity to extreme climatic conditions using remote sensing across different sub-regions of China;Javed;Environ. Sci. Pollut. Res.,2021

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