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Special Issue "Remote Sensing of Forest Growth in a Changing Climate"
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Forest Remote Sensing".
Deadline for manuscript submissions: closed (31 December 2019) | Viewed by 14767
Special Issue Editor
Interests: remote sensing; biogeochemical cycles; climate change; forest ecology; ecosystems functioning; carbon balance; plant traits
Special Issue Information
Most of the scientific literature agrees with the observation that forest biomass has been increasing in the last few decades, with higher growth rates than expected. Even if the increased growth rates strongly differ among forest types, age classes, and geographical regions, this pattern was measured in many different forest ecosystems, and it seems to be synchronized in different biomes at broad spatial scales. Increased growth rates have been attributed to climate change, but there remains a great deal of uncertainty regarding the drivers of such changes.
Several climatic drivers have been explored (i.e., temperature, carbon dioxide, radiation, nitrogen deposition) and multiple-sometimes contrasting- mechanisms (i.e., increase of growing season, more efficient use of water, increase of diffuse radiation, fertilization effect, changes in plant phenology) have been proposed to explain this phenomenon. Furthermore, changes in land use and structure within different forest types have also been demonstrated to strongly influence forest dynamics and growth. Remote sensing data, when combined with high temporal resolution (i.e., Fluxnet) or wide spatial cover in situ observations (national forest inventories, EU-Forest) can provide new insights to investigate this aspect. This Special Issue on "Remote Sensing of Forest Growth in a Changing Climate" calls for manuscripts that demonstrate successful combinations of field and remote-sensing data on forcing and feedbacks between climate changes and forest growth. All types of original research contributions will be considered, including analyses at all temporal and spatial scales, making use of both empirical and biogeochemical models supported by remote sensing data.
Dr. Damiano Gianelle
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 submissions that pass pre-check are 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. Remote Sensing is an international peer-reviewed open access semimonthly 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 2500 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.
- forest growth
- climate change
- forcing and feedbacks between climate changes and forest ecology
- biogeochemical models
- temporal and spatial scales