Plant Phenology and Climate Change: Patterns, Responses, and Variability
A special issue of Biology (ISSN 2079-7737). This special issue belongs to the section "Plant Science".
Deadline for manuscript submissions: 31 May 2027 | Viewed by 9
Special Issue Editors
Interests: land use/land cover change; ecological restoration projects (ERPs); karst ecosystem and ecologically fragile regions; remote sensing of terrestrial ecosystems; vegetation phenology and climate change; ecosystem carbon and water cycles; ecosystem quality and ecosystem services; extreme climate events and ecosystem responses; coastal zone and wetland environments
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; ecology; land use/land cover; adaptive coastal management; future development modeling and planning; intelligent geography
Special Issues, Collections and Topics in MDPI journals
Interests: ecological environment remote sensing; vegetation biodiversity; multimodal remote sensing intelligent interpretation; landscape ecological security; carbon emission assessment; ecosystem services; coastal zone; land use/land cover change; ecosystem health
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Plant phenology—the timing of seasonal events such as leaf emergence, flowering, and senescence—has become an increasingly critical indicator of ecosystem responses to climate and environmental change, yet current monitoring still relies heavily on field recordings and limited remote sensing data, leading to inefficiencies, inconsistent models, and reduced reliability across diverse environments ranging from karst and coastal zones to inland wetlands. Remote sensing big data has emerged as a transformative tool, enabling more scientific and quantitative phenological analysis from landscape to crown scales through database platforms, information services, and reanalysis modeling. This Special Issue will bridge the gap between remote sensing big data and field observations by leveraging satellite imagery, airborne remote sensing, and advanced analytics to enable robust phenology detection and construct modeling frameworks. We welcome contributions that explore vegetation phenology change, remote sensing-based monitoring, responses to climate change and human activities, and effects on ecosystem functioning, including carbon and water cycles, ecosystem quality, and services, across forests, grasslands, coastal wetlands, and ecologically fragile regions. By integrating multi-source data and cutting-edge techniques, we hope to furnish decision-making tools for scientists and managers addressing vegetation ecosystem challenges under conditions of ongoing environmental change.
Dr. Zhi Ding
Dr. Fengqin Yan
Dr. Qi Wang
Guest Editors
Manuscript Submission Information
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Keywords
- plant phenology
- climate change
- remote sensing
- big data
- extreme climate events
- ecosystem services
- coastal wetlands
- ecologically fragile regions
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