Please use this identifier to cite or link to this item: http://earsiv.odu.edu.tr:8080/xmlui/handle/11489/5243
Title: Impacts of wind turbines on vegetation and soil cover: a case study of Urla, Cesme, and Karaburun Peninsulas, Turkey
Authors: Aksoy, Talha
Cetin, Mehmet
Cabuk, Saye Nihan
Kurkcuoglu, Muzeyyen Anil Senyel
Ozturk, Gulsah Bilge
Cabuk, Alper
Ordu Üniversitesi
0000-0002-9423-6932
0000-0002-0684-2247
0000-0002-8317-2961
0000-0001-8577-3990
0000-0003-4859-2271
0000-0002-8992-0289
Keywords: Wind power plant, Vegetation change, Land degradation, CORINE, NDVI
ENERGY DEVELOPMENT, POWER DEVELOPMENT, FARMS
Issue Date: 2023
Publisher: SPRINGER-NEW YORK
Citation: Aksoy, T., Cetin, M., Cabuk, SN., Kurkcuoglu, MAS., Ozturk, GB., Cabuk, A. (2023). Impacts of wind turbines on vegetation and soil cover: a case study of Urla, Cesme, and Karaburun Peninsulas, Turkey. Clean Technol. Environ. Policy, 25(1), 51-68. https://doi.org/10.1007/s10098-022-02387-x
Abstract: The study presents a GIS- and RS-based diagnostic model to determine the changes in the existing vegetation in the Urla, Cesme, and Karaburun peninsulas, Turkey, between 2002 and 2017 after the installation of 239 wind power plants (WPP). The vegetation changes in 7 CORINE land cover classes within the 0-1 km (facility zone) and 1-2 km (control zone) buffer zones were detected in relation with the slope and aspect groups using NDVI analysis. The highest amount of negative change in broad-leaved forests, coniferous forests, and land principally occupied by agriculture, with significant areas of natural vegetation, was detected in the 3-5% slope group, while pasture lands, sclerophyllous vegetation and transitional woodland-shrubs showed the highest degradation in 1-2% slope areas. Negative changes in complex cultivation patterns were found to be on the flat surfaces. Except for the pasture lands and sclerophyllous vegetation classes, the highest degradations were observed on north-facing aspects. In all land cover classes, the most degraded areas were found to be within the facility zone. The results and the proposed model are expected to facilitate planning and decision-making processes for locations with similar landscape characteristics. [GRAPHICS] .
Description: WoS Categories: Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences
Web of Science Index: Science Citation Index Expanded (SCI-EXPANDED)
Research Areas: Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology
URI: http://dx.doi.org/10.1007/s10098-022-02387-x
https://www.webofscience.com/wos/woscc/full-record/WOS:000847655800001
http://earsiv.odu.edu.tr:8080/xmlui/handle/11489/5243
ISSN: 1618-954X
1618-9558
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