Special Issue "Biometeorology"
A special issue of Atmosphere (ISSN 2073-4433).
Deadline for manuscript submissions: 31 December 2015
Dr. Robinson I. Negron-Juarez
Climate Sciences Department, Earth Sciences Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
Interests: Micrometeorology; Atmospheric and Environmental Chemistry; Ecosystem Ecology; Global Change Research; Land-Atmosphere Interaction; Climate Modeling; Remote Sensing
Biometeorology, an interdisciplinary science that studies the interaction between the biosphere and its atmospheric environment, has become of increasing importance given observed and projected changes in the climate system. Acknowledging this importance, the journal Atmosphere plans to debut a special issue on Biometeorology. The theme of this issue is Vegetation and Climate Variability/Change. Original studies encompassing any topic in this theme are welcome for submission. All studies must contain a specific section on uncertainty analysis and discussion. Researchers are welcome to contact the Editor before submitting their manuscripts.
Robinson I. Negron-Juarez
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. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as 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 refereed through a 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.
- land ecosystems
- current and future interactions
- climate change
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Simulation of Storm Damage Occurrence at the Landscape Scale Using Empirical High-Resolution Gust Speed Fields
Authors: Christopher Jung, Dirk Schindler, Axel Albrecht
Affiliation: Albert-Ludwigs-University, of Freiburg, Werthmannstrasse 10, D-79085 Freiburg, Germany; E-Mail: firstname.lastname@example.org
Abstract: Storms are currently the most important disturbance factor in Central European forests. Therefore, routinely collected forest inventory damage data from the period 1978 to 2008 were used to calculate storm damage probability (P) in the forests of the German federal state of Baden-Wuerttemberg by applying a bagged decision tree (BDT). After testing all available candidate predictor variables for their explanatory power for storm damage occurrence, the predictor variable combination gust speed field (Ug), forest type (FOR), soil type (SOIL), geology (GEOL), soil moisture (MOIST) and soil acidification (ACID) was chosen for P modeling. Results from predictor importance (PI) evaluation demonstrate that the relative impact of Ug on the predictive accuracy of BDT was greatest. The importance of Ug for the modeling results is due to the availability of a newly developed statistical gust speed model which can be applied at high resolution (50 × 50 m). Another, nearly equally important predictor variable was FOR which consists of the three classes “conifer forest”, “broad-leaved” and “mixed forest”. Modeled P was classified and mapped in a 50 × 50 m resolution grid covering the study area. Areas prone to storm damage occurring within a return period (RP) of five years were detected in mountainous upland regions where Ug ≥ 31 m/s and conifers dominate the tree species composition. In contrast, lowest storm damage probability was assigned to all locations where Ug ≤ 16 m/s and broad-leaves account for the largest share of the tree species composition. The most significant outcome of this study is that, gust speed which is involved in triggering storm damage in forests, affects BDT prediction results most.
Keywords: Storm damage; High resolution gust speed field; Statistical modeling; Bagged regression tree
Last update: 2 July 2015