Preprint Review Version 1 This version is not peer-reviewed

Understanding Tree Mortality Patterns: A Comprehensive Review of Remote Sensing and Ground-based studies

Version 1 : Received: 2 July 2024 / Approved: 2 July 2024 / Online: 3 July 2024 (02:49:48 CEST)

How to cite: Eliades, F.; Sarris, D.; Bachofer, F.; Michaelides, S.; Hadjimitsis, D. Understanding Tree Mortality Patterns: A Comprehensive Review of Remote Sensing and Ground-based studies. Preprints 2024, 2024070269. https://doi.org/10.20944/preprints202407.0269.v1 Eliades, F.; Sarris, D.; Bachofer, F.; Michaelides, S.; Hadjimitsis, D. Understanding Tree Mortality Patterns: A Comprehensive Review of Remote Sensing and Ground-based studies. Preprints 2024, 2024070269. https://doi.org/10.20944/preprints202407.0269.v1

Abstract

Land degradation, desertification and tree mortality related to global climate change are in the spotlight of Remote Sensing research in recent decades, since extreme climat-ic events could affect the composition, structure and biogeography of forests. Howev-er, the complexity of tree mortality processes requires a holistic approach. Herein, we present the first global assessment and a historical perspective of tree mortality by re-viewing both Remote Sensing and ground-based studies. We compiled 254 papers on tree mortality that make use of remotely sensed products, ground-based monitoring and climatic drivers, focusing on their spatial and temporal patterns, in the methods applied, while highlighting research gaps. Forested ecosystems, especially in the Medi-terranean area, appear to have experienced often climatic-induced physiological stress under extreme droughts and warming, raising concern that forests may become in-creasingly vulnerable to tree mortality. Our core results indicated 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 ex-plaining tree mortality on a local scale, while vegetation indicators derived from mul-tispectral optical sensors are promising for large scale assessment. We observed that almost all of the studies we have reviewed were based on less than 25 years of data and were of local scale. Longer timeframes and regional scale investigations that will include multiple tree species analysis could have a significant impact on future re-search.

Keywords

tree mortality; land degradation; desertification; Remote Sensing; meteorology; review; Earth Observation; climate change

Subject

Environmental and Earth Sciences, Remote Sensing

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