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Special Issue "Methodological Advances in Research on Sustainable Ecosystems"

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: 31 January 2018

Special Issue Editors

Guest Editor
Prof. Dr. Xinyue Ye

Department of Geography, School of Digital Sciences, and Computational Social Science Lab, Kent State University, Kent, OH 44242, USA
Website | E-Mail
Interests: GIS; spatial analysis; urban and regional modeling
Guest Editor
Prof. Dr. Yichun Xie

Department of Geography and Geology and Institute for Geospatial Research and Education, Eastern Michigan University, Ypsilanti, MI 48197, USA
Website | E-Mail
Fax: +1-(734) 487-5394
Guest Editor
Prof. Dr. Victor Mesev

Department of Geography, Florida State University, Tallahassee, FL 32306, USA
Website | E-Mail

Special Issue Information

Dear Colleagues,

Rapid urbanization means more economic and social human activities are affecting natural ecosystems. It also means more natural land is being converted into urban land use; with consequential detrimental impacts on the processes and functions of ecosystems. In developing countries, economic growth is prioritized ahead of environmental conservation, but unprecedented urban growth has triggered drastic land use conversion, either replacing natural landscapes with semi-natural mixtures or complete urban development. Inevitably, areas converted into urban land use have altered the structure, pattern, and functionality of the ecosystems. More research is needed on sustainable urban development; an approach that harmonizes the demand for urban encroachment with the preservation of delicate ecosystems.

This Special Issue plans to focus on “Methodological Advances in Research on Sustainable Ecosystems”. It is a topic with immense collaborative potential and interdisciplinary challenges for environmental scientists, ecologists, economists, and policy-makers. Building on a series of three successful annual conferences in the USA and China (http://www.jicredt.com/GSES2017/), this Special Issue will bring together leading scholars in related disciplines to share their research on the challenges and solutions of Methodological Advances in Sustainable Ecosystems Research. This Special Issue will be open to the submission of manuscripts from outside the conference as well, provided that they fit within the scope of the Special Issue. Submitted manuscripts will need to be full-length papers that have not been previously published in a substantially-similar format. In addition, all manuscripts will need to be reviewed through electronic Manuscript Tracking System and according to the same editorial guidelines as all other submitted manuscripts.

Appropriate topics include, but are not limited to:

  • Advanced geo-computational ecosystems modelling

  • Creation of new visualization products that increase the understanding of large and diverse forms of ecosystems information

  • Discovery of patterns in large volumes of ecosystems data through analytic techniques such as data mining and predictive analytics in applications

  • Ecological, environmental and socioeconomic modeling and coupling

  • LULC change

  • Smart city and geo-design

  • Technological advances in hardware, storage, data management, networking and computing models, such as visualization and cloud computing for ecosystems applications

Prof. Dr. Xinyue Ye
Prof. Dr. Yichun Xie
Prof. Dr. Victor Mesev
Guest Editors

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. Sustainability 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.

Published Papers (2 papers)

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Research

Open AccessArticle Mapping Fine Spatial Resolution Precipitation from TRMM Precipitation Datasets Using an Ensemble Learning Method and MODIS Optical Products in China
Sustainability 2017, 9(10), 1912; doi:10.3390/su9101912 (registering DOI)
Received: 13 September 2017 / Revised: 16 October 2017 / Accepted: 19 October 2017 / Published: 23 October 2017
PDF Full-text (28325 KB) | HTML Full-text | XML Full-text | Supplementary Files
Abstract
Precipitation data are important for the fields of hydrology and meteorology, and are fundamental for ecosystem monitoring and climate change research. Satellite-based precipitation products are already able to provide high temporal resolution precipitation information at a global level. However, the coarse spatial resolution
[...] Read more.
Precipitation data are important for the fields of hydrology and meteorology, and are fundamental for ecosystem monitoring and climate change research. Satellite-based precipitation products are already able to provide high temporal resolution precipitation information at a global level. However, the coarse spatial resolution has restricted their use in regional level studies. In this study, monthly fine spatial resolution land precipitation data in China was obtained by downscaling the TRMM 3B43 V7 monthly precipitation products. The downscaling model was constructed based on the ensemble learning method called random forest (RF). In addition to the RF model, the classification and regression tree (CART) model was also used to downscale the precipitation data for the purpose of comparison. The results were validated with in situ measurements. Results showed that the RF model outperformed the CART model. The downscaled precipitation data were strongly correlated with the in situ measurements. The downscaling method was applied to mapping fine spatial resolution precipitation over all of China, and is valuable for developing high spatial resolution precipitation products for studies on hydrology, meteorology, and climate science. Full article
(This article belongs to the Special Issue Methodological Advances in Research on Sustainable Ecosystems)
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Open AccessArticle Notifiable Sexually Transmitted Infections in China: Epidemiologic Trends and Spatial Changing Patterns
Sustainability 2017, 9(10), 1784; doi:10.3390/su9101784
Received: 31 August 2017 / Revised: 25 September 2017 / Accepted: 28 September 2017 / Published: 1 October 2017
PDF Full-text (3183 KB) | HTML Full-text | XML Full-text
Abstract
Sexually transmitted infections (STIs) have become one of the major public health threats to the sustainable development of human beings. Among all of the STIs in China, three are listed as the notifiable infectious diseases, i.e., gonorrhea, syphilis, and HIV/AIDS, which demand more
[...] Read more.
Sexually transmitted infections (STIs) have become one of the major public health threats to the sustainable development of human beings. Among all of the STIs in China, three are listed as the notifiable infectious diseases, i.e., gonorrhea, syphilis, and HIV/AIDS, which demand more attention. This study aims to detect, describe, and compare the spatial-temporal clustering of these notifiable STIs in China and to relate spatial analysis results to epidemiologic trends during the past decade. A descriptive epidemiology analysis and a spatial autocorrelation analysis (global and local) are adopted to study the epidemiologic trends and spatial changing patterns of STIs respectively. The results indicated that there were regional disparities and spatial clusters in the spatial distribution of notifiable STIs in China. However, the incidence rates of the three notifiable STIs displayed relatively different characteristics in epidemiologic trends and the agglomeration level. Overall, the Yangtze River Delta region, the southwestern border area, and some other border regions are the places demanding more attention. In the end, we propose a three-dimensional prevention and control strategy, which focuses on not only the most-at-risk populations, but also the most-at-risk areas and most-at-risk timings. Besides, some measures targeting more than one STI should also be formulated. Full article
(This article belongs to the Special Issue Methodological Advances in Research on Sustainable Ecosystems)
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