Special Issue "Remotely-Sensed Phenology of Forests under Changing Climate Conditions"
Deadline for manuscript submissions: closed (20 February 2020).
Interests: vegetation phenology dynamics; landscape disturbance; fire spatio-temporal behavior; land cover change processes; remotely sensed data analysis; geoprocessing techniques; multivariate statistical methods
Special Issues and Collections in MDPI journals
Interests: Biodiversity; Forest Ecology; Forest Management; Ecosystems
With facing the current global change, phenology has become a major concern because of its ability to monitor, understand, and predict the periodicity of the biological events related to the climate, from an intra- and inter-specific level, to a global scale; it plays a pivotal role in how climate change affects ecosystem services, trophic exchanges, and species niche ranges. Forest phenology is an integrative environmental science embracing biometeorology, ecology, and evolutionary biology; it determines ecosystem services at local and global scales, controlling the interannual variability of both gross primary productivity (GPP), and net ecosystem productivity (NEP) and exchange (NEE), and influencing biodiversity patterns, water cycle, and carbon balance. In this framework, remote sensing has the potential to fill the gap between traditional phenological (field) observations and the large-scale view of global models, in order to enable the mapping and monitoring of phenology at an ecosystem level, and to provide an integrative framework at a landscape scale. Remotely-sensed phenology is defined as the seasonal pattern of variation of vegetation indices (i.e., greening, senescence, dormancy, etc.) in vegetated land surfaces observed from satellite remote sensing. Satellite observations constitute a spatially aggregated signal from heterogeneous surface conditions that may not be representative of any single plant species’ response. The length of the time series, high temporal frequency, internal consistency, and continuous availability of the satellite measurements are fundamental requirements when dealing with ecosystem responses to climate change dynamics.
This Special Issue of Forests is focused on quantifying and modeling remotely sensed phenology under climate change conditions through novel methodological approaches. We particularly welcome studies that aim to answer the main questions connected to the changing climate by exploiting remote sensing potentialities, namely: How have the patterns of phenology shifted within different ecological zones over the last decades? What are the key factors affecting vegetation growing season change in recent years? How do the increased intensity and frequency of climate-induced stresses affect forests structure, distribution, and composition, with consequent changes in biomass production? What are the forests’ adaptive responses to changing climate conditions?
Dr. Sofia Bajocco
Dr. Marco Bascietto
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Forests is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Remote sensing
- Climate change
- Phenological metrics
- Temporal trend
- Spatial pattern