Yazar "Ekinci, Kamil" seçeneğine göre listele

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  • Küçük Resim
    Öğe
    Long-term spatiotemporal patterns of CH4 and N2O emissions from livestock and poultry production in Turkey
    (Springer, 2010) Külcü, Recep; Ekinci, Kamil; Evrendilek, Fatih; Ertekin, Can
    This study quantified spatiotemporal patterns of CH4 and N2O emissions from livestock and poultry production in Turkey between 1961 and 2007. CH4(enteric) (from enteric fermentation), CH4(manure) (from manure management), and N2O(AWM) (from animal waste management) emissions in Turkey were estimated at 1,164, 216, and 55 Gg in 1961 and decreased to 844, 187, and 39 Gg in 2007, contributing a share of roughly 2% to the global livestock-related CH4 emissions and %1.5 to the global N2O(AWM) emissions, respectively. Total CO2-eq emissions were estimated at 50.7 Tg in 1961 and declined from a maximum value of 60.7 Tg in 1982 to a minimum value of 34.5 Tg in 2003, with a mean emission rate of 48 Tg year (-aEuro parts per thousand 1) due to a significant reduction in the number of ruminant livestock. The highest mean share of emissions belonged to West Black Sea (14% and 16%) for CH4(enteric) and CH4(manure) and to North East Anatolia (12% and %13) for N2O(AWM) and total CO2-eq emissions, respectively. The highest emission density was 1.7 Mg km (-aEuro parts per thousand 2) year (-aEuro parts per thousand 1) for CH4(enteric), 0.3 Mg km (-aEuro parts per thousand 2) year (-aEuro parts per thousand 1) for CH4(manure), and 0.07 Mg km (-aEuro parts per thousand 2) year (-aEuro parts per thousand 1) for the total CO2-eq emissions in the West and North East Anatolia regions and 0.09 Mg km (-aEuro parts per thousand 2) year (-aEuro parts per thousand 1) for N2O(AWM) in the East Marmara region. Temporal and spatial variations in CH4(enteric), CH4(manure), and N2O(AWM) emissions in Turkey were estimated using regression models and ordinary kriging at a 500-m resolution, respectively.
  • Küçük Resim
    Öğe
    Modeling impacts of land uses on carbon and nitrogen contents, carbon dioxide and water effluxes of mediterranean soils
    (Hard, 2016) Erol, Ayten; Ekinci, Kamil; Akbolat, Davut; Evrendilek, Fatih
    Local alterations of land uses by policy, planning, and management decisions have global implications for coupled biogeochemical cycles. Quantification and prediction of impacts of land-use changes on carbon (C), nitrogen (N), and water (H2O) cycles are of great significance, in particular to the Mediterranean ecosystems that are already vulnerable to climate change. The present study was aimed at empirically modeling the four response variables of soil carbon (SC), nitrogen (SN) contents, carbon dioxide (CO2), and H2O effluxes as a function of the 10 predictors of land use type (forest, grassland, cropland, and their degraded states), soil organic matter, soil moisture, silt, clay and sand fractions, pH, electrical conductivity, soil microorganisms, and soil temperature. Our results showed that soil respiration rate was highest for cropland and lowest for forest (p = 0.002). Land use type was found to be the primary control and significantly related linearly to SC, SN, and soil CO2 efflux and non-linearly to all the responses. Goodness-of-fit and predictive power of the best-fit multiple non-linear regression (MNLR) models varied between 80.8% for soil CO2 efflux and 99.9% for SC, and between 67.4% for soil CO2 efflux and 99.1% for SN, respectively.
  • Küçük Resim
    Öğe
    Quantifying soil respiration in response to short-term tillage practices: a case study in southern Turkey
    (Taylor & Francis As, 2009) Akbolat, Davut; Evrendilek, Fatih; Coşkan, Ali; Ekinci, Kamil
    The study aimed at quantifying the rates of soil CO2 efflux under the influence of common tillage systems of moldboard plow (PT), chisel plow (CT), rotary tiller (RT), heavy disc harrow (DT), and no-tillage (NT) for 46 days in October and November in a field left fallow after wheat harvest located in southern Turkey. The NT and DT plots produced the lowest soil CO2 effluxes of 0.3 and 0.7 g m(-2) h(-1), respectively, relative to the other plots (P < 0.001). Following the highest rainfall amount of 87 mm on the tenth day after the tillage, soil CO2 efflux rates of all the plots peaked on the 12th day, with less influence on soil CO2 efflux in the NT plot than in the conventional tillage plots. Soil evaporation in NT (64 mmol m(-2) s(-1)) was significantly lower than in the PT (85 mmol m(-2) s(-1)) and RT (89 mmol m(-2) s(-1)) tillage treatments (P < 0.01). The best multiple-regression model selected explained 46% of variation in soil respiration rates as a function of the tillage treatments, soil temperature, and soil evaporation (P < 0.001). The tillage systems of RT, PT, and CT led, on average, to 0.23, 0.22, and 0.18 g m(-2) h(-1) more soil CO2 efflux than the baseline of NT, respectively (P <= 0.001).