Special Issue "Forest Adaptation to Climate Change: From Individual Trees to Whole Stand"
Deadline for manuscript submissions: 24 December 2019.
Prof. Vladimir V. Shishov
Department of Mathematical Methods and Information Technology, Siberian Federal University, L. Prushinskoy st., 2, 660075 Krasnoyarsk, Russia
Website | E-Mail
Interests: tree-ring growth; tree-ring formation; process-based modeling; parameterization; climate changes; neural networks; applied statistics
This Special Issue addresses the fundamental problem of forest reaction forecast to climate change and increasing concentrations of greenhouse gases in the terrestrial ecosystems of the earth.
The problem of tree-ring response to possible climate change is one of the most urgent problems of modern forest ecology. Despite a large number of papers concerning tree-ring response to different environmental changes (temperature increase, drought, etc.), there is no reliable answer to how woody plants will respond to environmental changes in different forest stands and various physiographic zones.
Wood characteristics are important in determining the ability of a tree to face environmental cues, including climate change. Indeed, under normal climatic variability, wood anatomy, structure, and function usually fit the environmental conditions. However, under a rapidly changing climate, these characteristics need to be adjusted to fit the environmental conditions through phenotypic plasticity and/or evolutionary adaptation.
To promote a sound and future-oriented management of forest resources, it is fundamental that tree breeders and forest managers select and promote individuals, provenances, and species that best fit the future conditions. It is therefore important and urgent that plant scientists provide tools and knowledge helping to identify and select the most relevant adaptive traits.
With this Special Issue, we aim at gathering experts from different disciplines to present original results, review papers, and theoretical and practical approaches for a better understanding of plant/trees adaptation to climate, with special focus on: 1) Environmental control and/or genetic determinism of wood formation; 2) Methodological developments for the study of wood formation and tree adaptation to climate; 3) Ecophysiological approaches to wood functioning, and 5) Tree/Climate simulations and information systems.
Prof. Vladimir V. Shishov
Prof. Emilia Gutiérrez Merino
Prof. Bao Yang
Dr. Philippe Rozenberg
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. Atmosphere 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 1400 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.
- tree growth
- wood formation
- wood functioning
- Tree adaptation
- environmental control
- genetic determinism
- process-based simulations