Special Issue "Biometeorology"

A special issue of Atmosphere (ISSN 2073-4433).

Deadline for manuscript submissions: closed (31 December 2015)

Special Issue Editor

Guest Editor
Dr. Robinson I. Negron-Juarez

Climate Sciences Department, Earth and Environmental Science Area, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
Website | E-Mail
Interests: micrometeorology; atmospheric and environmental chemistry; ecosystem ecology; global change research; land-atmosphere interaction; climate modeling; remote sensing

Special Issue Information

Dear Colleagues,

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
Guest Editor

Manuscript Submission Information

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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.


Keywords

  • land ecosystems
  • climate
  • current and future interactions
  • climate change

Published Papers (2 papers)

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Research

Open AccessArticle Interactions between Climate, Land Use and Vegetation Fire Occurrences in El Salvador
Atmosphere 2016, 7(2), 26; https://doi.org/10.3390/atmos7020026
Received: 13 October 2015 / Accepted: 22 January 2016 / Published: 6 February 2016
Cited by 4 | PDF Full-text (1878 KB) | HTML Full-text | XML Full-text | Supplementary Files
Abstract
Vegetation burning is a global environmental threat that results in local ecological, economic and social impacts but also has large-scale implications for global change. The burning is usually a result of interacting factors such as climate, land use and vegetation type. Despite its
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Vegetation burning is a global environmental threat that results in local ecological, economic and social impacts but also has large-scale implications for global change. The burning is usually a result of interacting factors such as climate, land use and vegetation type. Despite its importance as a factor shaping ecological, economic and social processes, countries highly vulnerable to climate change in Central America, such as El Salvador, lack an assessment of this complex relationship. In this study we rely on remotely sensed measures of the Normalized Vegetation Difference Index (NDVI) and thermal anomaly detections by the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor to identify vegetation cover changes and fire occurrences. We also use land use data and rainfall observations derived from the Tropical Rainfall Measuring Mission (TRMM) data to determine the spatial and temporal variability and interactions of these factors. Our results indicate a highly marked seasonality of fire occurrence linked to the climatic variability with a peak of fire occurrences in 2004 and 2013. Low vegetation indices occurred in March–April, around two months after the driest period of the year (December–February), corresponding to months with high detection of fires. Spatially, 65.6% of the fires were recurrent and clustered in agriculture/cropland areas and within 1 km of roads (70%) and only a 4.7% of fires detected were associated with forests. Remaining forests in El Salvador deserve more attention due to underestimated consequences of forest fires. The identification of these clear patterns can be used as a baseline to better shape management of fire regimes and support decision making in this country. Recommendations resulting from this work include focusing on fire risk models and agriculture fires and long-term ecological and economic consequences of those. Furthermore, El Salvador will need to include agricultural fires in the contribution to national accounts emissions. Full article
(This article belongs to the Special Issue Biometeorology)
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Open AccessArticle The Role of Highly-Resolved Gust Speed in Simulations of Storm Damage in Forests at the Landscape Scale: A Case Study from Southwest Germany
Atmosphere 2016, 7(1), 7; https://doi.org/10.3390/atmos7010007
Received: 5 November 2015 / Revised: 14 December 2015 / Accepted: 25 December 2015 / Published: 4 January 2016
Cited by 7 | PDF Full-text (15889 KB) | HTML Full-text | XML Full-text
Abstract
Routinely collected booking records of salvaged timber from the period 1979–2008 were used to empirically model the (1) storm damage probability; (2) proportions of storm-damaged timber and (3) endemic storm damage risk in the forest area of the German federal state of Baden-Wuerttemberg
[...] Read more.
Routinely collected booking records of salvaged timber from the period 1979–2008 were used to empirically model the (1) storm damage probability; (2) proportions of storm-damaged timber and (3) endemic storm damage risk in the forest area of the German federal state of Baden-Wuerttemberg by applying random forests. Results from cross-validated predictor importance evaluation demonstrate that the relative impact of modeled gust speed fields on the predictive accuracy of the random forests models was greatest compared to the impact of forest and soil features. Forest areas prone to storm damage occurring within a period of five years were mainly located in mountainous upland regions where maximum gust speed exceeds 31 m/s in a five-year return period and conifers dominate the tree species composition. While mean storm damage probability continuously increased with increasing statistical gust speed proportions of storm-damaged timber peaked at a statistical maximum gust speed value of 29 m/s occurring in a five-year return period. Combining the statistical gust speed field with daily gust speed fields of two exceptional winter storms improved model accuracy and considerably increased the explained variance. Endemic storm damage risk was calculated from endemic storm damage probability and proportions of endemically storm-damaged timber. In combination with knowledge of local experts the storm damage risk modeled in a 50 m × 50 m resolution raster dataset can easily be used to identify areas prone to storm damage and to adapt silvicultural management regimes to make forests more windfirm. Full article
(This article belongs to the Special Issue Biometeorology)
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