In ecological studies, soil-plant interaction is an important environmental factor. Soil chemical and physical properties affect plant richness and diversity. This study was carried out to investigate the relationship between soil physical and chemical properties, and plant diversity indexes (Shannon-Weiner and Simpson) in semiarid grassland. Plant diversity indexes and soil properties were determined using 34 quadrats (5x5m) on different parent materials (chrome, marble, serpentine, red chalk and red chalk mostra) in semiarid grasslands in the Central Anatolia Region in Turkey. Plant samples were collected and recorded periodically from April to September (the vegetation period) in 2014 for each quadrat. In order to determine the plant richness and diversity indexes, 3 sub-quadrats (1x1m) were randomly added into each of 34 (5x5 m) quadrats. To evaluate the relationship between plant diversity indexes and soil properties, composite soil samples were collected from the four corners, and the center of each quadrat 0-30 cm in depth, and which was mixing of those subsamples. Soil sand-silt-clay contents, soil reaction (pH), bulk density (BD), electrical conductivity (EC), CaCO3 and soil organic matter (SOM) contents were measured. Relationship between plant diversity indexes measured in different months during vegetation period and soil properties of different parent material was statistically analysed using correlation analysis in SPSS 20.0. Modest correlation coefficient was found between the Simpson diversity index and SOM content, sand-silt-clay content, pH and EC for different months in vegetation period.
Land degradation by soil erosion is one of the most serious problems and environmental issues in many ecosystems of arid and semi-arid regions. Especially, the disturbed areas have greater soil detachability and transportability capacity. Evaluation of land degradation in terms of soil erodibility, by using geostatistical modeling, is vital to protect and reclaim susceptible areas. Soil erodibility, described as the ability of soils to resist erosion, can be measured either directly under natural or simulated rainfall conditions, or indirectly estimated by empirical regression models. This study compares three empirical equations used to determine the soil erodibility factor of revised universal soil loss equation prediction technology based on their geospatial performances in the semi-arid catchment of the Saraykoy II Irrigation Dam located in Cankiri, Turkey. A total of 311 geo-referenced soil samples were collected with irregular intervals from the top soil layer (0-10 cm). Geostatistical analysis was performed with the point values of each equation to determine its spatial pattern. Results showed that equations that used soil organic matter in combination with the soil particle size better agreed with the variations in land use and topography of the catchment than the one using only the particle size distribution. It is recommended that the equations which dynamically integrate soil intrinsic properties with land use, topography, and its influences on the local microclimates, could be successfully used to geospatially determine sites highly susceptible to water erosion, and therefore, to select the agricultural and bio-engineering control measures needed.
Bu çalışma A4 karesi içerisinde yer alan Çankırı ilinin Yapraklı ilçesinde yürütülmüştür. Çalışmada ilçe sınırları içerisinde yer alan Küçükyayla'nın florasını tespit edilmesi amaçlanmıştır. İran-Turan fitocoğrafik bölgesinde bulunan çalışma alanında 2017-2018 yılları arasında arazi çalışmaları gerçekleştirilmiştir. Alandan toplanan bitki örneklerinin değerlendirilmesi sonucunda 38 familya, 135 cinse ait 235 taksonun yayılış gösterdiği tespit edilmiştir. Asteraceae, Lamiaceae, Fabaceae, Boraginaceae ve Caryophyllaceae' İçerdikleri takson sayısı bakımından büyük familyalar olarak sıralanmaktadır. Alandan toplanan türlerin fitocoğrafik bölgelere göre dağılımları ise; İran-Turan 47 takson (%20.0), Avrupa-Sibirya 27 takson (%11,5), Akdeniz 12 takson (%5,1) ve diğerleri 149 takson (%63,4) olarak sıralanmaktadır. Alanda yayılış gösteren 235 taksonun 38 adedi endemik olup, endemizm oranı %16,17'dir.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.