Title: Determination of spatial distribution of topsoil organic carbon stock using geostatistical technique in a karst ecosystem

Authors: Turgay Dindaroglu; Recep Gundogan; Mustafa Omer Karaoz

Addresses: Forest Engineering Department, Forestry Faculty, Kahramanmaras Sutcuimam University, 46100 Kahramanmaras, Turkey ' Soil Science Department, Agriculture Faculty, Harran University, 63100 Sanlıurfa, Turkey ' Forest Engineering Department, Forestry Faculty, Istanbul University, 34473 Istanbul, Turkey

Abstract: This study aimed to determine the spatial distribution of total soil organic carbon (TSOC) content in surface soils in the karst ecosystem located in the Mediterranean region of Turkey. Land use types and depression areas were determined using Landsat8 and Shuttle Radar Topography Mission (SRTM) data, respectively. Topsoil samples (0-10 cm) were collected in 108 sites and analysed for soil pH, SOC, bulk density (BD), total nitrogen content (N) and particle size distribution. The exponential model was the best model to describe SOC contents, stable model for BD and circular model for TSOC. The SOC content in different land uses ranked as forest (4.10%) > rangeland (2.60%) > cropland (1.41%) areas. Mean TSOC content was identified as 27.22 MgCha−1 in non-depressed areas and 48.71 MgCha−1 in depressed areas. TSOC dramatically changed from none-depressed areas to depressed areas were identified in cropland (ΔTSOCcropland = 68.05%). Forest areas were more stable in view of the change of carbon sequestration compared to the other areas (ΔTSOCforest3 = 28.24%). Depression areas play very important role in terms of carbon storage capacity in the Karst ecosystem.

Keywords: soil carbon; sequestration; depression area; environmental modelling; geostatistics; karst area; land use; topsoil; spatial analyses; carbon stock.

DOI: 10.1504/IJGW.2019.103726

International Journal of Global Warming, 2019 Vol.19 No.3, pp.251 - 266

Received: 01 Feb 2019
Accepted: 09 Jul 2019

Published online: 25 Nov 2019 *

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