Understanding Tree Mortality Patterns: A Comprehensive Review of Remote Sensing and Meteorological Ground-Based Studies Article Swipe
Filippos Eliades
,
Dimitrios Sarris
,
Felix Bachofer
,
Silas Michaelides
,
Diofantos Hadjimitsis
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/f15081357
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/f15081357
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.
Related Topics
Concepts
Scale (ratio)
Vegetation (pathology)
Geography
Spatial ecology
Climate change
Tree (set theory)
Environmental science
Environmental resource management
Desertification
Remote sensing
Physical geography
Climatology
Ecology
Cartography
Pathology
Biology
Mathematical analysis
Geology
Medicine
Mathematics
Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.3390/f15081357
- https://www.mdpi.com/1999-4907/15/8/1357/pdf?version=1722674028
- OA Status
- gold
- Cited By
- 6
- References
- 128
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401333512
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4401333512Canonical identifier for this work in OpenAlex
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https://doi.org/10.3390/f15081357Digital Object Identifier
- Title
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Understanding Tree Mortality Patterns: A Comprehensive Review of Remote Sensing and Meteorological Ground-Based StudiesWork title
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reviewOpenAlex work type
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enPrimary language
- Publication year
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2024Year of publication
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2024-08-03Full publication date if available
- Authors
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Filippos Eliades, Dimitrios Sarris, Felix Bachofer, Silas Michaelides, Diofantos HadjimitsisList of authors in order
- Landing page
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https://doi.org/10.3390/f15081357Publisher landing page
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https://www.mdpi.com/1999-4907/15/8/1357/pdf?version=1722674028Direct link to full text PDF
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goldOpen access status per OpenAlex
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https://www.mdpi.com/1999-4907/15/8/1357/pdf?version=1722674028Direct OA link when available
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Scale (ratio), Vegetation (pathology), Geography, Spatial ecology, Climate change, Tree (set theory), Environmental science, Environmental resource management, Desertification, Remote sensing, Physical geography, Climatology, Ecology, Cartography, Pathology, Biology, Mathematical analysis, Geology, Medicine, MathematicsTop concepts (fields/topics) attached by OpenAlex
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6Total citation count in OpenAlex
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2025: 5, 2024: 1Per-year citation counts (last 5 years)
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128Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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