基于Landsat图像和FLUS模型的阿拉尼亚沿海地区农业用地变化监测与多情景模拟

IF 2.4 4区 农林科学 Q2 AGRICULTURAL ENGINEERING Journal of Agricultural Engineering Pub Date : 2023-10-31 DOI:10.4081/jae.2023.1548
Melis Inalpulat
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引用次数: 0

摘要

由于人类活动的迅速发展,对海岸带周围的生产性土地产生了不利影响。对土地利用和土地覆盖变化的评估有助于更好地了解保护这类脆弱生态系统的过程。阿拉尼亚是土耳其地中海沿岸最受欢迎的旅游热点之一,尽管由于与旅游相关的投资,该城市在80年代中期之后面临着严重的LULC变化,但在该地区进行的研究数量有限。该研究旨在确定短期和长期的LULC变化以及住宅开发过程对农业用地的影响,使用1984年至2017年期间获得的六张Landsat图像。并提出了该领域未来仿真的首次尝试。计算平均年换算(AAC) (ha),以评估六个不同时期的年变化幅度。aac用于计算LULC2030和LULC2050的面积需求,其中每个情景的不同时期的年转换乘以2017年、2030年和2050年之间的年数。最后,利用FLUS模型对农业用地的乐观和悲观情景进行了模拟。在悲观和乐观情景下,33年间农业用地从53.9%减少到31.4%,减少22.5%,2030年和2050年的变化幅度分别为19.50% ~ 24.63%和1.07% ~ 14.10%。
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Monitoring and multi-scenario simulation of agricultural land changes using Landsat imageries and FLUS model on coastal Alanya
Anthropogenic activities have adverse impacts on productive lands around coastal zones due to rapid developments. Assessment of land use and land cover (LULC) changes provides better understanding of the process for conservation of such vulnerable ecosystems. Alanya is one of the most popular tourism hotspots in Mediterranean coast of Turkey, and even though the city faced with severe LULC changes after mid-80s due to tourism-related investments, limited number of studies has conducted in the area The study aimed to determine short-term and long-term LULC changes and effects of residential development process on agricultural lands using six Landsat imageries acquired between 1984 and 2017, and presented the first attempt of future simulation in the area. Average annual conversions (AAC) (ha) calculated to assess magnitudes of annual changes in six different periods. AACs used to calculate area demands for LULC2030 and LULC2050, whereby annual conversions from different periods were multiplied by number of years between 2017, 2030 and 2050 for each scenario. Finally, optimistic and pessimistic scenarios for agricultural lands are simulated using FLUS model. Accordingly, agricultural lands decreased from 53.9% to 31.4% by 22.5% in 33 years, and predicted to change between 19.50% and 24.63% for 2030, 1.07% and 14.10% for 2050, based on pessimistic and optimistic scenarios, respectively.
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来源期刊
Journal of Agricultural Engineering
Journal of Agricultural Engineering AGRICULTURAL ENGINEERING-
CiteScore
2.30
自引率
5.60%
发文量
40
审稿时长
10 weeks
期刊介绍: The Journal of Agricultural Engineering (JAE) is the official journal of the Italian Society of Agricultural Engineering supported by University of Bologna, Italy. The subject matter covers a complete and interdisciplinary range of research in engineering for agriculture and biosystems.
期刊最新文献
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