当前位置: X-MOL 学术Phys. Geogr. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Determination of the relationship among compound Topographic Index (CTI), soil properties and land-use in karst ecosystems
Physical Geography ( IF 1.6 ) Pub Date : 2021-08-04 , DOI: 10.1080/02723646.2021.1961361
Turgay Dindaroglu 1 , Vesna Tunguz 2 , Emre Babur 1 , Oleksandr Menshov 3 , Martin Leonardo Battaglia 4
Affiliation  

ABSTRACT

Topography is a key factor that affects edaphic, climatic, and biotic factors directly or indirectly. Relationships between Compound Topographic Index (CTI) model and soil properties were investigated in order to determine the ecological potential of the area in order to plan the sustainability of the fertile lands and the rehabilitation of the degraded areas in the study area. Totally 84 soil samples (0–20 cm) collected from different land use types (forest, cropland, rangeland) in Karst Mountain, Andırın-Kahramanmaras, Turkey. The CTI distributions are generated from digital elevation data of 12 m resolution obtained from AlosPalsar Satellite images. Although CTI values changed to Forest> Cropland> Rangeland, the highest correlation was found between CTI and soil moisture content in rangeland (R2 = 0.81). Lower correlations were found with other land uses (R2 = 0.63 in Cropland and R2 = 0.31 in Forest). CEC and Clay content were found to have a significant (p < 0.01) positive correlation with Curvature. Despite a distinctive topographic structure of karst ecosystems, these correlations verified the influence of topography on soil properties. CTI, which has strong correlations with soil moisture content can be used in planning reclamation processes of degraded karst ecosystems.



中文翻译:

喀斯特生态系统中复合地形指数(CTI)、土壤特性和土地利用之间关系的确定

摘要

地形是直接或间接影响土壤、气候和生物因素的关键因素。研究了复合地形指数 (CTI) 模型与土壤特性之间的关系,以确定该地区的生态潜力,从而规划研究区肥沃土地的可持续性和退化地区的恢复。从土耳其 Andırın-Kahramanmaras 喀斯特山的不同土地利用类型(森林、农田、牧场)收集的总共 84 个土壤样本(0-20 厘米)。CTI 分布是根据从 AlosPalsar 卫星图像获得的 12 m 分辨率的数字高程数据生成的。虽然 CTI 值变化为森林 > 农田 > 牧场,但发现 CTI 与牧场土壤水分含量之间的相关性最高(R 2 = 0.81)。发现与其他土地利用的相关性较低( 农田中R 2 = 0.63,森林中 R 2  = 0.31)。发现 CEC 和粘土含量与曲率具有显着 ( p < 0.01) 正相关。尽管喀斯特生态系统具有独特的地形结构,但这些相关性证实了地形对土壤特性的影响。CTI 与土壤水分含量有很强的相关性,可用于规划退化的喀斯特生态系统的开垦过程。

更新日期:2021-08-04
down
wechat
bug