首页> 外文期刊>The Madras Agricultural Journal >Assessment of SOC stock, their changes overtime and prediction of SOC stock using Roth-C model for benchmark soils of different agro-climatic zones of Tamil Nadu.
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Assessment of SOC stock, their changes overtime and prediction of SOC stock using Roth-C model for benchmark soils of different agro-climatic zones of Tamil Nadu.

机译:使用Roth-C模型对泰米尔纳德邦不同农业气候区的基准土壤进行SOC储量评估,其加班变化和SOC储量预测。

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A study was conducted in different agroclimatic zones of Tamil Nadu with the objective of assessment of Soil Organic Carbon (SOC) stock and its changes overtime, prediction of SOC stock under existing and alternate cropping pattern using Roth C model. Fifteen benchmark soils were selected in different agroclimatic zones of Tamil Nadu based on their land use and areal extent to assess SOC level and its changes overtime. Results revealed that, during 1997 and 2007 SOC was higher in forest ecosystem of pedon 15 (Ooty series) and in pedon 14 (Pechiparai series) of horticultural land use. Among seven agroclimatic zones of Tamil Nadu soil series in five agroclimatic zones viz., Periyanaickenpalayam series (Western zone), Peelamedu series (Southern zone), Vallam series (North eastern zone), Vannappatti series (North western zone) and Padugai series (Cauvery delta zone) were selected to predict SOC stock for the year 2025 and 2050 except hilly and high rainfall zone due to high organic carbon content in these agroclimatic zones. Results showed that, among the soil series selected for the study, Vannappatti and Padugai series registered the highest Total Organic Carbon (TOC), Biomass Carbon (BIO) and Humified Organic Carbon (HUM) under existing cropping pattern while Periyanaickenpalayam, Peelamedu and Vallam series had high TOC, BIO and HUM under alternate cropping pattern. Among five selected soil series, Periyanaickenpalayam, Peelamedu and Padugai series recorded 7.5 g kg-1 TOC during 2025 and 2018, 2100 and 2035, 2013 and 2014 under existing and alternate cropping pattern respectively.
机译:在泰米尔纳德邦的不同农业气候区进行了一项研究,目的是利用Roth C模型评估土壤有机碳(SOC)储量及其随时间的变化,预测现有和交替种植模式下的SOC储量。根据泰米尔纳德邦不同的农业气候区的土地用途和面积选择了15种基准土壤,以评估SOC水平及其随时间的变化。结果表明,在1997年至2007年期间,园艺用地的第15脚(乌特系列)和第14脚(Pechiparai系列)的森林生态系统中的SOC较高。在五个农业气候区中的​​泰米尔纳德邦土壤系列的七个农业气候区中,即Periyanaickenpalayam系列(西部区),Peelamedu系列(南部区),Vallam系列(东北区),Vannappatti系列(西北区)和Padugai系列(农舍)选择三角洲地区)以预测2025年和2050年的SOC储量,除了丘陵和高降雨区,因为这些农业气候区的有机碳含量高。结果表明,在研究的土壤系列中,Vannaappatti和Padugai系列在现有耕作模式下的总有机碳(TOC),生物质碳(BIO)和湿化有机碳(HUM)最高,而Periyanaickenpalayam,Peelamedu和Vallam系列则最高。在交替种植模式下,TOC,BIO和HUM较高。在五个选定的土壤系列中,Periyanaickenpalayam,Peelamedu和Padugai系列分别在2025和2018年,2100年和2035年,2013年和2014年分别以现有和交替种植模式记录了7.5 g kg -1 TOC。

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